From fc663e142d25507f97fd7c70b33fb4c9e221cea4 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Wed, 17 May 2023 15:45:26 +0100 Subject: [PATCH 001/486] Update 01-upgrading-to-v1.6.md adding SL doc placeholder for 1.6 beta launch --- website/docs/guides/migration/versions/01-upgrading-to-v1.6.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/website/docs/guides/migration/versions/01-upgrading-to-v1.6.md b/website/docs/guides/migration/versions/01-upgrading-to-v1.6.md index 4f7ddc2fd8a..176391db738 100644 --- a/website/docs/guides/migration/versions/01-upgrading-to-v1.6.md +++ b/website/docs/guides/migration/versions/01-upgrading-to-v1.6.md @@ -27,8 +27,9 @@ dbt Labs is committed to providing backward compatibility for all versions 1.x, ## New and changed documentation +- [Build your Semantic Layer](adding link) - Define your metrics with semantic models and MetricFlow using the command line (CLI) for dbt Core v1.6 beta. **Coming Soon** ### Quick hits -**Coming Soon** \ No newline at end of file +**Coming Soon** From c94df2931d26dcbfdf73c18c2cb81391676dd557 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 18 May 2023 11:40:11 +0100 Subject: [PATCH 002/486] Update website/docs/guides/migration/versions/01-upgrading-to-v1.6.md --- website/docs/guides/migration/versions/01-upgrading-to-v1.6.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/guides/migration/versions/01-upgrading-to-v1.6.md b/website/docs/guides/migration/versions/01-upgrading-to-v1.6.md index 176391db738..db450420138 100644 --- a/website/docs/guides/migration/versions/01-upgrading-to-v1.6.md +++ b/website/docs/guides/migration/versions/01-upgrading-to-v1.6.md @@ -27,7 +27,7 @@ dbt Labs is committed to providing backward compatibility for all versions 1.x, ## New and changed documentation -- [Build your Semantic Layer](adding link) - Define your metrics with semantic models and MetricFlow using the command line (CLI) for dbt Core v1.6 beta. +- [Build your Semantic Layer](/docs/build/build-semantic-layer-intro) - Define your metrics with semantic models and MetricFlow using the command line (CLI) for dbt Core v1.6 beta. **Coming Soon** ### Quick hits From bd421b4b6444e8d7473183d91bb0cd5deaba7204 Mon Sep 17 00:00:00 2001 From: "Leona B. Campbell" <3880403+runleonarun@users.noreply.github.com> Date: Wed, 31 May 2023 16:25:34 -0700 Subject: [PATCH 003/486] Create may-ide-updates.md --- .../08-May-2023/may-ide-updates.md | 33 +++++++++++++++++++ 1 file changed, 33 insertions(+) create mode 100644 website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md diff --git a/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md b/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md new file mode 100644 index 00000000000..98579af2fa1 --- /dev/null +++ b/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md @@ -0,0 +1,33 @@ +--- +title: "May IDE updates and fixes" +id: "may-ide-updates" +description: "May 2023 release note: We've ." +sidebar_label: "Update and fixes: IDE" +sidebar_position: 7 +tags: [May-2023, IDE] +--- + +To continue improving your [Cloud IDE](https://docs.getdbt.com/docs/cloud/develop-in-the-cloud) development experience, the dbt Labs team continues to work on adding new features, fixing bugs, and increasing reliability ✨. + +Stay up-to-date with [IDE-related changes](https://docs.getdbt.com/tags/ide). + +## New features +- Lint via SQLFluff in beta (reach out if interested, otherwise this will be available for multi-tenant soon!) +- Format markdown files with prettier +- Leverage developer experience shortcuts, including `Ctrl + `` (toggle history drawer), `CMD + Option + /` (toggle block comment), `CMD + Shift + P` (open command palette), `Option + W` (close editor tab) +- Display parent folder name for files with same name in Changes section +- Navigate the new IDE features quickly using [the IDE User Interface](https://docs.getdbt.com/docs/cloud/dbt-cloud-ide/ide-user-interface) help page +- Use `top X` in SQL when previewing in the IDE +- Opt into the new IDE backend layer over the past month (still with dbt-rpc). Ready for beta later in June! + + +## Product refinements +- Performance-related upgrades: + - Reduced cold start time by 60+% + - Improved render time of modals in the IDE by 98% + - Improved IDE performance with dbt Core v1.5+ (faster and snappier – highly encourage you to update your dbt version!) +- Upgraded sqlfmt (which powers the Format button) to 0.18.0 +- Updated Build button to change menu options based on file/model type (snapshot, macro, etc.) +- Display message to disable adblocker for file contents error +- Moved Format button to console bar +- Made many security enhancements in the IDE From 390b6553be40e05038bdd98277735b7b054cde9a Mon Sep 17 00:00:00 2001 From: "Leona B. Campbell" <3880403+runleonarun@users.noreply.github.com> Date: Wed, 31 May 2023 16:49:04 -0700 Subject: [PATCH 004/486] Update website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md --- .../dbt-versions/release-notes/08-May-2023/may-ide-updates.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md b/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md index 98579af2fa1..b070c5a8f21 100644 --- a/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md +++ b/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md @@ -3,7 +3,7 @@ title: "May IDE updates and fixes" id: "may-ide-updates" description: "May 2023 release note: We've ." sidebar_label: "Update and fixes: IDE" -sidebar_position: 7 +sidebar_position: 2 tags: [May-2023, IDE] --- From f3c32ff24d0f560b91fc3c17020d0e0852e48f5d Mon Sep 17 00:00:00 2001 From: "Leona B. Campbell" <3880403+runleonarun@users.noreply.github.com> Date: Wed, 31 May 2023 17:06:12 -0700 Subject: [PATCH 005/486] Update website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md --- .../dbt-versions/release-notes/08-May-2023/may-ide-updates.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md b/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md index b070c5a8f21..a059e8316d5 100644 --- a/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md +++ b/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md @@ -12,7 +12,7 @@ To continue improving your [Cloud IDE](https://docs.getdbt.com/docs/cloud/develo Stay up-to-date with [IDE-related changes](https://docs.getdbt.com/tags/ide). ## New features -- Lint via SQLFluff in beta (reach out if interested, otherwise this will be available for multi-tenant soon!) +- Lint via SQL Fluff is now available in beta (GA over the next 2-3 weeks) - Format markdown files with prettier - Leverage developer experience shortcuts, including `Ctrl + `` (toggle history drawer), `CMD + Option + /` (toggle block comment), `CMD + Shift + P` (open command palette), `Option + W` (close editor tab) - Display parent folder name for files with same name in Changes section From 951ffb19277faf18c44d38365f00e1259448c726 Mon Sep 17 00:00:00 2001 From: "Leona B. Campbell" <3880403+runleonarun@users.noreply.github.com> Date: Wed, 31 May 2023 17:07:22 -0700 Subject: [PATCH 006/486] Update website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md --- .../dbt-versions/release-notes/08-May-2023/may-ide-updates.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md b/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md index a059e8316d5..7d9cab248af 100644 --- a/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md +++ b/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md @@ -14,7 +14,7 @@ Stay up-to-date with [IDE-related changes](https://docs.getdbt.com/tags/ide). ## New features - Lint via SQL Fluff is now available in beta (GA over the next 2-3 weeks) - Format markdown files with prettier -- Leverage developer experience shortcuts, including `Ctrl + `` (toggle history drawer), `CMD + Option + /` (toggle block comment), `CMD + Shift + P` (open command palette), `Option + W` (close editor tab) +- Leverage developer experience shortcuts, including `Ctrl + /`` (toggle history drawer), `CMD + Option + /` (toggle block comment), `CMD + Shift + P` (open command palette), `Option + W` (close editor tab) - Display parent folder name for files with same name in Changes section - Navigate the new IDE features quickly using [the IDE User Interface](https://docs.getdbt.com/docs/cloud/dbt-cloud-ide/ide-user-interface) help page - Use `top X` in SQL when previewing in the IDE From a33c4e79cfa496c7c1cd766b6427690895d485ba Mon Sep 17 00:00:00 2001 From: "Leona B. Campbell" <3880403+runleonarun@users.noreply.github.com> Date: Wed, 31 May 2023 17:09:19 -0700 Subject: [PATCH 007/486] Update website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md --- .../dbt-versions/release-notes/08-May-2023/may-ide-updates.md | 1 + 1 file changed, 1 insertion(+) diff --git a/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md b/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md index 7d9cab248af..aee5050061d 100644 --- a/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md +++ b/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md @@ -22,6 +22,7 @@ Stay up-to-date with [IDE-related changes](https://docs.getdbt.com/tags/ide). ## Product refinements + - Performance-related upgrades: - Reduced cold start time by 60+% - Improved render time of modals in the IDE by 98% From f53cafebce5d9a7db116b65c54b713588dd15135 Mon Sep 17 00:00:00 2001 From: "Leona B. Campbell" <3880403+runleonarun@users.noreply.github.com> Date: Wed, 31 May 2023 17:16:06 -0700 Subject: [PATCH 008/486] Update website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md --- .../dbt-versions/release-notes/08-May-2023/may-ide-updates.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md b/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md index aee5050061d..9a8b9a848ad 100644 --- a/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md +++ b/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md @@ -14,7 +14,7 @@ Stay up-to-date with [IDE-related changes](https://docs.getdbt.com/tags/ide). ## New features - Lint via SQL Fluff is now available in beta (GA over the next 2-3 weeks) - Format markdown files with prettier -- Leverage developer experience shortcuts, including `Ctrl + /`` (toggle history drawer), `CMD + Option + /` (toggle block comment), `CMD + Shift + P` (open command palette), `Option + W` (close editor tab) +- Leverage developer experience shortcuts, including `Ctrl + \`` (toggle history drawer), `CMD + Option + /` (toggle block comment), `CMD + Shift + P` (open command palette), `Option + W` (close editor tab) - Display parent folder name for files with same name in Changes section - Navigate the new IDE features quickly using [the IDE User Interface](https://docs.getdbt.com/docs/cloud/dbt-cloud-ide/ide-user-interface) help page - Use `top X` in SQL when previewing in the IDE From d94d16ff9ebc94e4960061b8e1fe8e9034f472c5 Mon Sep 17 00:00:00 2001 From: "Leona B. Campbell" <3880403+runleonarun@users.noreply.github.com> Date: Wed, 31 May 2023 17:16:18 -0700 Subject: [PATCH 009/486] Update website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md --- .../release-notes/08-May-2023/may-ide-updates.md | 12 ++++++++++++ 1 file changed, 12 insertions(+) diff --git a/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md b/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md index 9a8b9a848ad..10767ca35f9 100644 --- a/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md +++ b/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md @@ -32,3 +32,15 @@ Stay up-to-date with [IDE-related changes](https://docs.getdbt.com/tags/ide). - Display message to disable adblocker for file contents error - Moved Format button to console bar - Made many security enhancements in the IDE +## Bug fixes + +- File icon sizes no longer get wonky in small screen +- Toast notifications no longer take over command bar menu +- Hover info inside the text editor no longer gets cut off +- Transition between a file and a recently modified scratchpad no longer triggers a console error +- dbt v1.5+ now can access the IDE +- Confirm button on the Unsaved Changes modal now closes after clicking it +- Long node names no longer overflow in the parsed logs section in history drawer +- Status pill in history drawer no longer scales with longer command +- Tooltip for tab name with a long file name is no longer cut off +- Lint button should no longer available in main branch From f35c75ff00be016f0193abe361daaddcafe5b36e Mon Sep 17 00:00:00 2001 From: "Leona B. Campbell" <3880403+runleonarun@users.noreply.github.com> Date: Wed, 31 May 2023 17:16:52 -0700 Subject: [PATCH 010/486] Update website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md --- .../dbt-versions/release-notes/08-May-2023/may-ide-updates.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md b/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md index 10767ca35f9..b6c89b7ce60 100644 --- a/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md +++ b/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md @@ -14,7 +14,7 @@ Stay up-to-date with [IDE-related changes](https://docs.getdbt.com/tags/ide). ## New features - Lint via SQL Fluff is now available in beta (GA over the next 2-3 weeks) - Format markdown files with prettier -- Leverage developer experience shortcuts, including `Ctrl + \`` (toggle history drawer), `CMD + Option + /` (toggle block comment), `CMD + Shift + P` (open command palette), `Option + W` (close editor tab) +- Leverage developer experience shortcuts, including `Ctrl + \`` (toggle history drawer), `CMD + Option + \/` (toggle block comment), `CMD + Shift + P` (open command palette), `Option + W` (close editor tab) - Display parent folder name for files with same name in Changes section - Navigate the new IDE features quickly using [the IDE User Interface](https://docs.getdbt.com/docs/cloud/dbt-cloud-ide/ide-user-interface) help page - Use `top X` in SQL when previewing in the IDE From 136c34041b6f2683a5314666b0ac0a994d07fd18 Mon Sep 17 00:00:00 2001 From: "Leona B. Campbell" <3880403+runleonarun@users.noreply.github.com> Date: Wed, 31 May 2023 17:22:39 -0700 Subject: [PATCH 011/486] Update website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md --- .../dbt-versions/release-notes/08-May-2023/may-ide-updates.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md b/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md index b6c89b7ce60..a9471853a4b 100644 --- a/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md +++ b/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md @@ -14,7 +14,7 @@ Stay up-to-date with [IDE-related changes](https://docs.getdbt.com/tags/ide). ## New features - Lint via SQL Fluff is now available in beta (GA over the next 2-3 weeks) - Format markdown files with prettier -- Leverage developer experience shortcuts, including `Ctrl + \`` (toggle history drawer), `CMD + Option + \/` (toggle block comment), `CMD + Shift + P` (open command palette), `Option + W` (close editor tab) +- Leverage developer experience shortcuts, including ``Ctrl +` `` (toggle history drawer), `CMD + Option + /` (toggle block comment), `CMD + Shift + P` (open command palette), `Option + W` (close editor tab) - Display parent folder name for files with same name in Changes section - Navigate the new IDE features quickly using [the IDE User Interface](https://docs.getdbt.com/docs/cloud/dbt-cloud-ide/ide-user-interface) help page - Use `top X` in SQL when previewing in the IDE From 901aaa1b821170cfa74b265742f81c52b52f2313 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 1 Jun 2023 10:44:26 +0100 Subject: [PATCH 012/486] Update website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md --- .../dbt-versions/release-notes/08-May-2023/may-ide-updates.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md b/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md index a9471853a4b..9b089b4d325 100644 --- a/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md +++ b/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md @@ -7,7 +7,7 @@ sidebar_position: 2 tags: [May-2023, IDE] --- -To continue improving your [Cloud IDE](https://docs.getdbt.com/docs/cloud/develop-in-the-cloud) development experience, the dbt Labs team continues to work on adding new features, fixing bugs, and increasing reliability ✨. +To continue improving your [Cloud IDE](/docs/cloud/develop-in-the-cloud) development experience, the dbt Labs team continues to work on adding new features, fixing bugs, and increasing reliability ✨. Stay up-to-date with [IDE-related changes](https://docs.getdbt.com/tags/ide). From 3d3d010f190668cf93ec9ae774a577365ce119cc Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 1 Jun 2023 10:44:43 +0100 Subject: [PATCH 013/486] Update website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md --- .../dbt-versions/release-notes/08-May-2023/may-ide-updates.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md b/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md index 9b089b4d325..db9f9ef9f16 100644 --- a/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md +++ b/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md @@ -9,7 +9,7 @@ tags: [May-2023, IDE] To continue improving your [Cloud IDE](/docs/cloud/develop-in-the-cloud) development experience, the dbt Labs team continues to work on adding new features, fixing bugs, and increasing reliability ✨. -Stay up-to-date with [IDE-related changes](https://docs.getdbt.com/tags/ide). +Stay up-to-date with [IDE-related changes](/tags/ide). ## New features - Lint via SQL Fluff is now available in beta (GA over the next 2-3 weeks) From 4923080f90906eb78350087388677e1a49a63c99 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 1 Jun 2023 11:23:54 +0100 Subject: [PATCH 014/486] Update website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md --- .../dbt-versions/release-notes/08-May-2023/may-ide-updates.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md b/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md index db9f9ef9f16..469f86f1d6e 100644 --- a/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md +++ b/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md @@ -7,7 +7,7 @@ sidebar_position: 2 tags: [May-2023, IDE] --- -To continue improving your [Cloud IDE](/docs/cloud/develop-in-the-cloud) development experience, the dbt Labs team continues to work on adding new features, fixing bugs, and increasing reliability ✨. +To continue improving your [Cloud IDE](/docs/cloud/dbt-cloud-ide/develop-in-the-cloud) development experience, the dbt Labs team continues to work on adding new features, fixing bugs, and increasing reliability ✨. Stay up-to-date with [IDE-related changes](/tags/ide). From 3201b4dac40784ba597631d68394dac273a538b7 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 1 Jun 2023 11:24:19 +0100 Subject: [PATCH 015/486] Update website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md --- .../dbt-versions/release-notes/08-May-2023/may-ide-updates.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md b/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md index 469f86f1d6e..9a5f2f14b7f 100644 --- a/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md +++ b/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md @@ -16,7 +16,7 @@ Stay up-to-date with [IDE-related changes](/tags/ide). - Format markdown files with prettier - Leverage developer experience shortcuts, including ``Ctrl +` `` (toggle history drawer), `CMD + Option + /` (toggle block comment), `CMD + Shift + P` (open command palette), `Option + W` (close editor tab) - Display parent folder name for files with same name in Changes section -- Navigate the new IDE features quickly using [the IDE User Interface](https://docs.getdbt.com/docs/cloud/dbt-cloud-ide/ide-user-interface) help page +- Navigate the new IDE features quickly using [the IDE User Interface](/docs/cloud/dbt-cloud-ide/ide-user-interface) help page - Use `top X` in SQL when previewing in the IDE - Opt into the new IDE backend layer over the past month (still with dbt-rpc). Ready for beta later in June! From 55638e8c4ff6a860ef4df9246580c6c046881504 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Mon, 19 Jun 2023 10:05:13 +0100 Subject: [PATCH 016/486] Update website/docs/guides/migration/versions/01-upgrading-to-v1.6.md --- website/docs/guides/migration/versions/01-upgrading-to-v1.6.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/guides/migration/versions/01-upgrading-to-v1.6.md b/website/docs/guides/migration/versions/01-upgrading-to-v1.6.md index db450420138..7ef6d7dd096 100644 --- a/website/docs/guides/migration/versions/01-upgrading-to-v1.6.md +++ b/website/docs/guides/migration/versions/01-upgrading-to-v1.6.md @@ -27,7 +27,7 @@ dbt Labs is committed to providing backward compatibility for all versions 1.x, ## New and changed documentation -- [Build your Semantic Layer](/docs/build/build-semantic-layer-intro) - Define your metrics with semantic models and MetricFlow using the command line (CLI) for dbt Core v1.6 beta. +- [Build your metrics](/docs/build/build-metrics-intro) - Define your metrics with semantic models and MetricFlow, a key component of the dbt Semantic Layer. Available on the command line (CLI) for dbt Core v1.6 beta or higher. **Coming Soon** ### Quick hits From 183d2447d7425e0e2fa8ee16703542252b05beaf Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Tue, 4 Jul 2023 10:57:24 +0100 Subject: [PATCH 017/486] Update 01-upgrading-to-v1.6.md --- .../guides/migration/versions/01-upgrading-to-v1.6.md | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/website/docs/guides/migration/versions/01-upgrading-to-v1.6.md b/website/docs/guides/migration/versions/01-upgrading-to-v1.6.md index fa4a8a344af..fa0dc9687b4 100644 --- a/website/docs/guides/migration/versions/01-upgrading-to-v1.6.md +++ b/website/docs/guides/migration/versions/01-upgrading-to-v1.6.md @@ -22,7 +22,15 @@ dbt Labs is committed to providing backward compatibility for all versions 1.x, ### Behavior changes -**Coming soon** +:::info Action required if your project defines metrics + +The [spec for metrics](https://github.com/dbt-labs/dbt-core/discussions/7456) has changed and now uses [MetricFlow](/docs/build/about-metricflow). + +::: + +If your dbt project defines metrics, you'll need to migrate to dbt v1.6 because the YAML spec has moved from dbt_metrics to the MetricFlow. This means any tests you have won't compile on v1.5 or older. + +NEED TO ADD MORE INFO RE: migration script ## New and changed documentation From df044f3921b76280d024c4affd88021c61f90a35 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Tue, 4 Jul 2023 10:59:53 +0100 Subject: [PATCH 018/486] Update website/docs/guides/migration/versions/01-upgrading-to-v1.6.md --- website/docs/guides/migration/versions/01-upgrading-to-v1.6.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/guides/migration/versions/01-upgrading-to-v1.6.md b/website/docs/guides/migration/versions/01-upgrading-to-v1.6.md index fa0dc9687b4..5b735ea27f5 100644 --- a/website/docs/guides/migration/versions/01-upgrading-to-v1.6.md +++ b/website/docs/guides/migration/versions/01-upgrading-to-v1.6.md @@ -22,7 +22,7 @@ dbt Labs is committed to providing backward compatibility for all versions 1.x, ### Behavior changes -:::info Action required if your project defines metrics +:::info Action required if your project defines `metrics` The [spec for metrics](https://github.com/dbt-labs/dbt-core/discussions/7456) has changed and now uses [MetricFlow](/docs/build/about-metricflow). From 699c9e257d640389fda49f97142a1b40ee702646 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Tue, 11 Jul 2023 13:40:44 +0100 Subject: [PATCH 019/486] Update website/docs/guides/migration/versions/01-upgrading-to-v1.6.md Co-authored-by: Doug Beatty <44704949+dbeatty10@users.noreply.github.com> --- website/docs/guides/migration/versions/01-upgrading-to-v1.6.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/guides/migration/versions/01-upgrading-to-v1.6.md b/website/docs/guides/migration/versions/01-upgrading-to-v1.6.md index 5b735ea27f5..5b2d60d5eba 100644 --- a/website/docs/guides/migration/versions/01-upgrading-to-v1.6.md +++ b/website/docs/guides/migration/versions/01-upgrading-to-v1.6.md @@ -28,7 +28,7 @@ The [spec for metrics](https://github.com/dbt-labs/dbt-core/discussions/7456) ha ::: -If your dbt project defines metrics, you'll need to migrate to dbt v1.6 because the YAML spec has moved from dbt_metrics to the MetricFlow. This means any tests you have won't compile on v1.5 or older. +If your dbt project defines metrics, you'll need to migrate to dbt v1.6 because the YAML spec has moved from dbt_metrics to MetricFlow. This means any tests you have won't compile on v1.5 or older. NEED TO ADD MORE INFO RE: migration script From c2bce9bf49571bc67ac7daf42b708d47592b83f8 Mon Sep 17 00:00:00 2001 From: Anders Swanson Date: Mon, 17 Jul 2023 10:15:34 -0400 Subject: [PATCH 020/486] intro trusted category --- website/docs/docs/supported-data-platforms.md | 11 ++++++++--- 1 file changed, 8 insertions(+), 3 deletions(-) diff --git a/website/docs/docs/supported-data-platforms.md b/website/docs/docs/supported-data-platforms.md index a8ae33a7e0c..868ba98d67a 100644 --- a/website/docs/docs/supported-data-platforms.md +++ b/website/docs/docs/supported-data-platforms.md @@ -6,11 +6,16 @@ description: "Connect dbt to any data platform in dbt Cloud or dbt Core, using a hide_table_of_contents: true --- -dbt connects to and runs SQL against your database, warehouse, lake, or query engine. These SQL-speaking platforms are collectively referred to as _data platforms_. dbt connects with data platforms by using a dedicated adapter plugin for each. Plugins are built as Python modules that dbt Core discovers if they are installed on your system. Read [What are Adapters](/guides/dbt-ecosystem/adapter-development/1-what-are-adapters) for more info. +dbt connects to and runs SQL against your database, warehouse, lake, or query engine. These SQL-speaking platforms are collectively referred to as _data platforms_. dbt connects with data platforms by using a dedicated adapter plugin for each. Plugins are built as Python modules that dbt Core discovers if they are installed on your system. Read [What are Adapters](/guides/dbt-ecosystem/adapter-development/1-what-are-adapters) for more info. -You can [connect](/docs/connect-adapters) to adapters and data platforms either directly in the dbt Cloud user interface (UI) or install them manually using the command line (CLI). There are two types of adapters available and to evaluate quality and maintenance, we recommend you consider their verification status. You can also [further configure](/reference/resource-configs/postgres-configs) your specific data platform to optimize performance. +You can also [further configure](/reference/resource-configs/postgres-configs) your specific data platform to optimize performance. -- **Verified** — dbt Labs' strict [adapter program](/guides/dbt-ecosystem/adapter-development/7-verifying-a-new-adapter) assures users of trustworthy, tested, and regularly updated adapters for production use. Verified adapters earn a "Verified" status, providing users with trust and confidence. +## Types of Adapters + +You can [connect](/docs/connect-adapters) to adapters and data platforms either directly in the dbt Cloud user interface (UI) or install them manually using the command line (CLI). There are three types of adapters available today. The purpose of differentiation is to provide users with an easier means to evaluate adapter quality. + +- **Verified** — dbt Labs' strict [adapter program](/guides/dbt-ecosystem/adapter-development/7-verifying-a-new-adapter) assures users of trustworthy, tested, and regularly updated adapters for production use. Verified adapters earn a "Verified" status, providing users with trust and confidence. +- **Trusted** — Trusted adapters are those where the adapter maintainers have agreed to meet a higher standard of quality. - **Community** — [Community adapters](/docs/community-adapters) are open-source and maintained by community members. ### Verified adapters From a979eda60fc7da18552f8eef1e5148c16a27f761 Mon Sep 17 00:00:00 2001 From: Anders Swanson Date: Mon, 17 Jul 2023 12:22:28 -0400 Subject: [PATCH 021/486] content draft --- website/docs/docs/supported-data-platforms.md | 4 +- website/docs/docs/trusted-adapters.md | 59 +++++++++++++ .../8-trusting-a-new-adapter.md | 82 +++++++++++++++++++ website/sidebars.js | 2 + 4 files changed, 145 insertions(+), 2 deletions(-) create mode 100644 website/docs/docs/trusted-adapters.md create mode 100644 website/docs/guides/dbt-ecosystem/adapter-development/8-trusting-a-new-adapter.md diff --git a/website/docs/docs/supported-data-platforms.md b/website/docs/docs/supported-data-platforms.md index 868ba98d67a..0f150c50440 100644 --- a/website/docs/docs/supported-data-platforms.md +++ b/website/docs/docs/supported-data-platforms.md @@ -15,8 +15,8 @@ You can also [further configure](/reference/resource-configs/postgres-configs) y You can [connect](/docs/connect-adapters) to adapters and data platforms either directly in the dbt Cloud user interface (UI) or install them manually using the command line (CLI). There are three types of adapters available today. The purpose of differentiation is to provide users with an easier means to evaluate adapter quality. - **Verified** — dbt Labs' strict [adapter program](/guides/dbt-ecosystem/adapter-development/7-verifying-a-new-adapter) assures users of trustworthy, tested, and regularly updated adapters for production use. Verified adapters earn a "Verified" status, providing users with trust and confidence. -- **Trusted** — Trusted adapters are those where the adapter maintainers have agreed to meet a higher standard of quality. -- **Community** — [Community adapters](/docs/community-adapters) are open-source and maintained by community members. +- **Trusted** — [Trusted adapters](trusted-adapters) are those where the adapter maintainers have agreed to meet a higher standard of quality. +- **Community** — [Community adapters](community-adapters) are open-source and maintained by community members. ### Verified adapters diff --git a/website/docs/docs/trusted-adapters.md b/website/docs/docs/trusted-adapters.md new file mode 100644 index 00000000000..cd517ca1ac9 --- /dev/null +++ b/website/docs/docs/trusted-adapters.md @@ -0,0 +1,59 @@ +--- +title: "Trusted adapters" +id: "trusted-adapters" +--- + +Trusted adapters are adapters not maintained by dbt Labs, that we feel comfortable recommending to users for use in production. + +### to be toggle heading'd + +Free and open-source tools for the data professional are increasingly abundant. This is by-and-large a *good thing*, however it requires due dilligence that wasn't required in a paid-license, closed-source software world. Before taking a dependency on an open-source projet is is important to determine the answer to the following questions: + +1. Does it work? +2. Does anyone "own" the code, or is anyone liable for ensuring it works? +3. Do bugs get fixed quickly? +4. Does it stay up-to-date with new Core features? +5. Is the usage substantial enough to self-sustain? +6. What risks do I take on by taking a dependency on this library? + +### for adapter maintainers + +if you're an adapter maintainer interested in joining the trusted adapter program click [Building a Trusted Adapter](8-building-a-trusted-adapter). + +### Trusted vs Verified + +The Verification program (currently paused) exists to highlight adapters that meets both of the following criteria: + +- the guidelines given in the Trusted program, +- formal agreements required for integration with dbt Cloud + +For more information on the Verified Adapter program, reach out the [dbt Labs parnterships team](partnerships@dbtlabs.com) + + +### Trusted adapters + +The following are **Trusted adapters** ✓ you can connect to in dbt Core: + +
+ + + + + + + + + +
diff --git a/website/docs/guides/dbt-ecosystem/adapter-development/8-trusting-a-new-adapter.md b/website/docs/guides/dbt-ecosystem/adapter-development/8-trusting-a-new-adapter.md new file mode 100644 index 00000000000..fbaabe83ea0 --- /dev/null +++ b/website/docs/guides/dbt-ecosystem/adapter-development/8-trusting-a-new-adapter.md @@ -0,0 +1,82 @@ +--- +title: "Building a Trusted Adapter" +id: "8-building-a-trusted-adapter" +--- + +The Trusted adapter program exists to allow adapter maintainers to demonstrate to the dbt community that your adapter is trusted to be used in production. + +## What does it mean to be trusted + +Below are some categories with stuff. + +By opt-ing into the below, you agree to this, and we take you at your word. dbt Labs reserves the right to remove an adapter from the trusted adapter list at any time, should any of the below guidelines not be met. + +### Feature Completeness + +To be considered for the Trusted Adapter program, the adapter must cover the essential functionality of dbt Core given below, with best effort given to support the entire feature set. + +The adapter should have the required documentation for connecting and configuring the adapter. The dbt docs site should be the single source of truth for this information. These docs should be kept up-to-date. + +See [this guide](https://docs.getdbt.com/guides/dbt-ecosystem/adapter-development/5-documenting-a-new-adapter) for more information + +#### what is essential? + +tables, views, seeds, tests etc + +### Release Cadence + +Keeping an adapter up-to-date with dbt Core is an integral part of being a trusted adapter. Therefore, we ask that adapter maintainers: + +- Release of new minor versions of the adapter with all tests passing within four weeks of dbt Core's release cut. +- Release of new major versions of the adapter with all tests passing within eight weeks of dbt Core's release cut. + +### Community Responsiveness + +On a best effort basis, active participation and engagement with the dbt Community across the following forums: + +- Being responsive to feedback and supporting user enablement in dbt Community’s Slack workspace +- Responding with comments to issues raised in public dbt adapter code repository +- Merging in code contributions from community members as deemed appropriate + +### Security Practices + +Trusted adapters will not do any of the following: + +- Output to logs or file either access credentials information to or data from the underlying data platform itself. +- Make API calls other than those expressly required for using dbt features (adapters may not add additional logging) +- Obfuscate code and/or functionality so as to avoid detection +- Use the Python runtime of dbt to execute arbitrary Python code +- Draw a dependency on dbt’s Python API beyond what is required for core data transformation functionality as described in the Essential and Extended feature tiers + +Additionally, to avoid supply-chain attacks: + +- Use an automated service to keep Python dependencies up-to-date (such as Dependabot or similar), +- Publish directly to PyPI from the dbt adapter code repository by using trusted CI/CD process (such as GitHub actions) +- Restrict admin access to both the respective code (GitHub) and package (PyPI) repositories +- Identify and mitigate security vulnerabilities by use of a static code analyzing tool (such as Snyk) as part of a CI/CD process + +### Other considerations + +The adapter repository is: + +- open-souce licensed, +- published to PyPI, and +- automatically tests the codebase against dbt Lab's provided adapter test suite + +## How to get an adapter verified? + +To submit your adapter for consideration as a Trusted adapter, use the "trusted adapter" issue template on the docs.getdbt.com repository. This will prompt you to agree to the following checkboxes: + +1. my adapter meet the guidelines given above +2. I will make best reasonable effort that this continues to be so +3. checkbox: I acknowledge that dbt Labs reserves the right to remove an adapter from the trusted adapter list at any time, should any of the above guidelines not be met. + +The approval workflow is as follows: + +1. create and populate the template-created issue +2. dbt Labs will respond as quickly as possible (maximally four weeks, though likely faster) +3. If approved, dbt Labs will create and merge a Pull request to formally add the adapter to the list. + +## How to get help with my trusted adapter? + +Ask your question in #adapter-ecosystem channel of the community Slack. diff --git a/website/sidebars.js b/website/sidebars.js index e10ebd513c2..5ec41bf2d86 100644 --- a/website/sidebars.js +++ b/website/sidebars.js @@ -8,6 +8,7 @@ const sidebarSettings = { link: { type: "doc", id: "docs/supported-data-platforms" }, items: [ "docs/connect-adapters", + "docs/trusted-adapters", "docs/community-adapters", "docs/contribute-core-adapters", ], @@ -1033,6 +1034,7 @@ const sidebarSettings = { "guides/dbt-ecosystem/adapter-development/5-documenting-a-new-adapter", "guides/dbt-ecosystem/adapter-development/6-promoting-a-new-adapter", "guides/dbt-ecosystem/adapter-development/7-verifying-a-new-adapter", + "guides/dbt-ecosystem/adapter-development/8-building-a-trusted-adapter", ], }, { From 504935a80c0be84b67e21423034451e176ec38c5 Mon Sep 17 00:00:00 2001 From: Anders Swanson Date: Mon, 17 Jul 2023 13:19:19 -0400 Subject: [PATCH 022/486] snippet card tables --- website/docs/docs/supported-data-platforms.md | 61 +++---------------- website/docs/docs/trusted-adapters.md | 24 +------- website/snippets/_adapters-trusted.md | 23 +++++++ website/snippets/_adapters-verified.md | 56 +++++++++++++++++ 4 files changed, 89 insertions(+), 75 deletions(-) create mode 100644 website/snippets/_adapters-trusted.md create mode 100644 website/snippets/_adapters-verified.md diff --git a/website/docs/docs/supported-data-platforms.md b/website/docs/docs/supported-data-platforms.md index 0f150c50440..068fd6660fe 100644 --- a/website/docs/docs/supported-data-platforms.md +++ b/website/docs/docs/supported-data-platforms.md @@ -22,62 +22,17 @@ You can [connect](/docs/connect-adapters) to adapters and data platforms either The following are **Verified adapters** ✓ you can connect to either in dbt Cloud or dbt Core: -
+import AdaptersVerified from '/snippets/_adapters-verified.md'; - - + - - - - - - - - - - - +
+* Install these adapters using the CLI as they're not currently supported in dbt Cloud.
- +### Trusted adapters - - +The following are **Trusted adapters** ✓ you can connect to in dbt Core: -
+import AdaptersTrusted from '/snippets/_adapters-trusted.md'; -
-* Install these adapters using the CLI as they're not currently supported in dbt Cloud.
+ diff --git a/website/docs/docs/trusted-adapters.md b/website/docs/docs/trusted-adapters.md index cd517ca1ac9..86bed045f44 100644 --- a/website/docs/docs/trusted-adapters.md +++ b/website/docs/docs/trusted-adapters.md @@ -34,26 +34,6 @@ For more information on the Verified Adapter program, reach out the [dbt Labs pa The following are **Trusted adapters** ✓ you can connect to in dbt Core: -
+import AdaptersTrusted from '/snippets/_adapters-trusted.md'; - - - - - - - - -
+ \ No newline at end of file diff --git a/website/snippets/_adapters-trusted.md b/website/snippets/_adapters-trusted.md new file mode 100644 index 00000000000..57e667e5198 --- /dev/null +++ b/website/snippets/_adapters-trusted.md @@ -0,0 +1,23 @@ +
+ + + + + + + + + +
diff --git a/website/snippets/_adapters-verified.md b/website/snippets/_adapters-verified.md new file mode 100644 index 00000000000..fe0bc394d09 --- /dev/null +++ b/website/snippets/_adapters-verified.md @@ -0,0 +1,56 @@ +
+ + + + + + + + + + + + + + + + + + + + + +
\ No newline at end of file From fe8eeb8575bc60f81e26dc9acf667fbcf5252696 Mon Sep 17 00:00:00 2001 From: Anders Swanson Date: Mon, 17 Jul 2023 13:24:23 -0400 Subject: [PATCH 023/486] add verified adapters --- website/docs/docs/supported-data-platforms.md | 3 --- website/docs/docs/verified-adapters.md | 21 ++++++------------- website/sidebars.js | 1 + website/snippets/_adapters-verified.md | 4 +++- 4 files changed, 10 insertions(+), 19 deletions(-) diff --git a/website/docs/docs/supported-data-platforms.md b/website/docs/docs/supported-data-platforms.md index 068fd6660fe..bc2a5a119a5 100644 --- a/website/docs/docs/supported-data-platforms.md +++ b/website/docs/docs/supported-data-platforms.md @@ -26,9 +26,6 @@ import AdaptersVerified from '/snippets/_adapters-verified.md'; -
-* Install these adapters using the CLI as they're not currently supported in dbt Cloud.
- ### Trusted adapters The following are **Trusted adapters** ✓ you can connect to in dbt Core: diff --git a/website/docs/docs/verified-adapters.md b/website/docs/docs/verified-adapters.md index 9604d05391c..3da1f2caf7b 100644 --- a/website/docs/docs/verified-adapters.md +++ b/website/docs/docs/verified-adapters.md @@ -8,23 +8,14 @@ The dbt Labs has a rigorous verified adapter program which provides reassurance These adapters then earn a "Verified" status so that users can have a certain level of trust and expectation when they use them. The adapters also have maintainers and we recommend using the adapter's verification status to determine its quality and health. +To learn more, see [Verifying a new adapter](/guides/dbt-ecosystem/adapter-development/7-verifying-a-new-adapter). + Here's the list of the verified data platforms that can connect to dbt and its latest version. -| dbt Cloud setup | CLI installation | latest verified version | -| ---------------- | ----------------------------------------- | ------------------------ | -| [Setup AlloyDB](/docs/cloud/connect-data-platform/connect-redshift-postgresql-alloydb) | [Install AlloyDB](/docs/core/connect-data-platform/alloydb-setup) | (same as `dbt-postgres`) | -| Not supported | [Install Azure Synapse](/docs/core/connect-data-platform/azuresynapse-setup) | 1.3 :construction: | -| [Set up BigQuery](/docs/cloud/connect-data-platform/connect-bigquery) | [Install BigQuery](/docs/core/connect-data-platform/bigquery-setup) | 1.4 | -| [Set up Databricks ](/docs/cloud/connect-data-platform/connect-databricks)| [ Install Databricks](/docs/core/connect-data-platform/databricks-setup) | 1.4 | -| Not supported | [Install Dremio](/docs/core/connect-data-platform/dremio-setup) | 1.4 :construction: | -| [Set up Postgres](/docs/cloud/connect-data-platform/connect-redshift-postgresql-alloydb) | [Install Postgres](/docs/core/connect-data-platform/postgres-setup) | 1.4 | -| [Set up Redshift](/docs/cloud/connect-data-platform/connect-redshift-postgresql-alloydb) | [Install Redshift](/docs/core/connect-data-platform/redshift-setup) | 1.4 | -| [Set up Snowflake](/docs/cloud/connect-data-platform/connect-snowflake) | [ Install Snowflake](/docs/core/connect-data-platform/snowflake-setup) | 1.4 | -| [Set up Spark](/docs/cloud/connect-data-platform/connect-apache-spark) | [Install Spark](/docs/core/connect-data-platform/spark-setup) | 1.4 | -| [Set up Starburst & Trino](/docs/cloud/connect-data-platform/connect-starburst-trino)| [Installl Starburst & Trino](/docs/core/connect-data-platform/trino-setup) | 1.4 | - -:construction:: Verification in progress +import AdaptersVerified from '/snippets/_adapters-verified.md'; + + + -To learn more, see [Verifying a new adapter](/guides/dbt-ecosystem/adapter-development/7-verifying-a-new-adapter). diff --git a/website/sidebars.js b/website/sidebars.js index 5ec41bf2d86..ed34edcd5b9 100644 --- a/website/sidebars.js +++ b/website/sidebars.js @@ -8,6 +8,7 @@ const sidebarSettings = { link: { type: "doc", id: "docs/supported-data-platforms" }, items: [ "docs/connect-adapters", + "docs/verified-adapters", "docs/trusted-adapters", "docs/community-adapters", "docs/contribute-core-adapters", diff --git a/website/snippets/_adapters-verified.md b/website/snippets/_adapters-verified.md index fe0bc394d09..70cc90070c0 100644 --- a/website/snippets/_adapters-verified.md +++ b/website/snippets/_adapters-verified.md @@ -53,4 +53,6 @@ body="Install using the CLI


🚧 Verification in progress" icon="rocket"/> - \ No newline at end of file + + +* Install these adapters using the CLI as they're not currently supported in dbt Cloud.
From 52a9f693cfc0cbfd5b125817e1c16f77569eb9ff Mon Sep 17 00:00:00 2001 From: Anders Swanson Date: Mon, 17 Jul 2023 13:33:25 -0400 Subject: [PATCH 024/486] not relevant --- website/docs/docs/connect-adapters.md | 20 +++---------------- website/docs/docs/verified-adapters.md | 6 +----- .../5-documenting-a-new-adapter.md | 7 +------ 3 files changed, 5 insertions(+), 28 deletions(-) diff --git a/website/docs/docs/connect-adapters.md b/website/docs/docs/connect-adapters.md index 5632fb3793e..f45da732abb 100644 --- a/website/docs/docs/connect-adapters.md +++ b/website/docs/docs/connect-adapters.md @@ -5,32 +5,18 @@ id: "connect-adapters" Adapters are an essential component of dbt. At their most basic level, they are how dbt connects with the various supported data platforms. At a higher-level, adapters strive to give analytics engineers more transferrable skills as well as standardize how analytics projects are structured. Gone are the days where you have to learn a new language or flavor of SQL when you move to a new job that has a different data platform. That is the power of adapters in dbt — for more detail, read the [What are adapters](/guides/dbt-ecosystem/adapter-development/1-what-are-adapters) guide. -This section provides more details on different ways you can connect dbt to an adapter, and explains what a maintainer is. +This section provides more details on different ways you can connect dbt to an adapter, and explains what a maintainer is. ### Set up in dbt Cloud -Explore the fastest and most reliable way to deploy dbt using dbt Cloud, a hosted architecture that runs dbt Core across your organization. dbt Cloud lets you seamlessly [connect](/docs/cloud/about-cloud-setup) with a variety of [verified](/docs/supported-data-platforms) data platform providers directly in the dbt Cloud UI. - -dbt Cloud supports data platforms that are verified and [maintained](#maintainers) by dbt Labs or partners. This level of support ensures that users can trust certain adapters for use in production. +Explore the fastest and most reliable way to deploy dbt using dbt Cloud, a hosted architecture that runs dbt Core across your organization. dbt Cloud lets you seamlessly [connect](/docs/cloud/about-cloud-setup) with a variety of [verified](/docs/supported-data-platforms) data platform providers directly in the dbt Cloud UI. ### Install using the CLI -Install dbt Core, which is an open-source tool, locally using the CLI. dbt communicates with a number of different data platforms by using a dedicated adapter plugin for each. When you install dbt Core, you'll also need to install the specific adapter for your database, [connect to dbt Core](/docs/core/about-core-setup), and set up a `profiles.yml` file. - -Data platforms supported in dbt Core may be verified or unverified, and are [maintained](#maintainers) by dbt Labs, partners, or community members. +Install dbt Core, which is an open-source tool, locally using the CLI. dbt communicates with a number of different data platforms by using a dedicated adapter plugin for each. When you install dbt Core, you'll also need to install the specific adapter for your database, [connect to dbt Core](/docs/core/about-core-setup), and set up a `profiles.yml` file. With a few exceptions [^1], you can install all [Verified adapters](/docs/supported-data-platforms) from PyPI using `pip install adapter-name`. For example to install Snowflake, use the command `pip install dbt-snowflake`. The installation will include `dbt-core` and any other required dependencies, which may include both other dependencies and even other adapter plugins. Read more about [installing dbt](/docs/core/installation). - -## Maintainers - -Who made and maintains an adapter is certainly relevant, but we recommend using an adapter's verification status to determine the quality and health of an adapter. So far there are three categories of maintainers: - -| Supported by | Maintained By | -| ------------ | ---------------- | -| dbt Labs | dbt Labs maintains a set of adapter plugins for some of the most common databases, warehouses, and platforms. As for why particular data platforms were chosen, see ["Why Verify an Adapter"](/guides/dbt-ecosystem/adapter-development/7-verifying-a-new-adapter#why-verify-an-adapter) | -| Partner | These adapter plugins are built and maintained by the same people who build and maintain the complementary data technology. | -| Community | These adapter plugins are contributed and maintained by members of the community. 🌱 | [^1]: Here are the two different adapters. Use the PyPI package name when installing with `pip` | Adapter repo name | PyPI package name | diff --git a/website/docs/docs/verified-adapters.md b/website/docs/docs/verified-adapters.md index 3da1f2caf7b..d5611c7062f 100644 --- a/website/docs/docs/verified-adapters.md +++ b/website/docs/docs/verified-adapters.md @@ -4,7 +4,7 @@ id: "verified-adapters" --- -The dbt Labs has a rigorous verified adapter program which provides reassurance to users about which adapters can be trusted to use in production, has been tested, and is actively maintained and updated. The process covers aspects of development, documentation, user experience, and maintenance. +The dbt Labs has a rigorous verified adapter program which provides reassurance to users about which adapters can be trusted to use in production, has been tested, and is actively maintained and updated. The process covers aspects of development, documentation, user experience, and maintenance. These adapters then earn a "Verified" status so that users can have a certain level of trust and expectation when they use them. The adapters also have maintainers and we recommend using the adapter's verification status to determine its quality and health. @@ -15,7 +15,3 @@ Here's the list of the verified data platforms that can connect to dbt and its l import AdaptersVerified from '/snippets/_adapters-verified.md'; - - - - diff --git a/website/docs/guides/dbt-ecosystem/adapter-development/5-documenting-a-new-adapter.md b/website/docs/guides/dbt-ecosystem/adapter-development/5-documenting-a-new-adapter.md index f8335dfcbc4..80b994aefb0 100644 --- a/website/docs/guides/dbt-ecosystem/adapter-development/5-documenting-a-new-adapter.md +++ b/website/docs/guides/dbt-ecosystem/adapter-development/5-documenting-a-new-adapter.md @@ -8,6 +8,7 @@ If you've already [built](3-building-a-new-adapter), and [tested](4-testing-a-ne ## Making your adapter available Many community members maintain their adapter plugins under open source licenses. If you're interested in doing this, we recommend: + - Hosting on a public git provider (for example, GitHub or Gitlab) - Publishing to [PyPI](https://pypi.org/) - Adding to the list of ["Supported Data Platforms"](/docs/supported-data-platforms#community-supported) (more info below) @@ -35,17 +36,12 @@ We ask our adapter maintainers to use the [docs.getdbt.com repo](https://github. To simplify things, assume the reader of this documentation already knows how both dbt and your data platform works. There's already great material for how to learn dbt and the data platform out there. The documentation we're asking you to add should be what a user who is already profiecient in both dbt and your data platform would need to know in order to use both. Effectively that boils down to two things: how to connect, and how to configure. - ## Topics and Pages to Cover - The following subjects need to be addressed across three pages of this docs site to have your data platform be listed on our documentation. After the corresponding pull request is merged, we ask that you link to these pages from your adapter repo's `REAMDE` as well as from your product documentation. To contribute, all you will have to do make the changes listed in the table below. - - - | How To... | File to change within `/website/docs/` | Action | Info to Include | |----------------------|--------------------------------------------------------------|--------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | Connect | `/docs/core/connect-data-platform/{MY-DATA-PLATFORM}-setup.md` | Create | Give all information needed to define a target in `~/.dbt/profiles.yml` and get `dbt debug` to connect to the database successfully. All possible configurations should be mentioned. | @@ -55,7 +51,6 @@ The following subjects need to be addressed across three pages of this docs site For example say I want to document my new adapter: `dbt-ders`. For the "Connect" page, I will make a new Markdown file, `ders-setup.md` and add it to the `/website/docs/core/connect-data-platform/` directory. - ## Example PRs to add new adapter documentation Below are some recent pull requests made by partners to document their data platform's adapter: From 27091518195d8136005b6d7bcbf7593ef6f261a8 Mon Sep 17 00:00:00 2001 From: Anders Swanson Date: Mon, 17 Jul 2023 13:44:43 -0400 Subject: [PATCH 025/486] polish --- website/docs/docs/trusted-adapters.md | 17 +++++++++-------- .../8-trusting-a-new-adapter.md | 9 +++++---- 2 files changed, 14 insertions(+), 12 deletions(-) diff --git a/website/docs/docs/trusted-adapters.md b/website/docs/docs/trusted-adapters.md index 86bed045f44..8b304d01b0d 100644 --- a/website/docs/docs/trusted-adapters.md +++ b/website/docs/docs/trusted-adapters.md @@ -5,20 +5,22 @@ id: "trusted-adapters" Trusted adapters are adapters not maintained by dbt Labs, that we feel comfortable recommending to users for use in production. -### to be toggle heading'd +Free and open-source tools for the data professional are increasingly abundant. This is by-and-large a *good thing*, however it requires due dilligence that wasn't required in a paid-license, closed-source software world. As a user, there are questions to answer important before taking a dependency on an open-source project. The trusted adapter designation is meant to streamline this process for end users. -Free and open-source tools for the data professional are increasingly abundant. This is by-and-large a *good thing*, however it requires due dilligence that wasn't required in a paid-license, closed-source software world. Before taking a dependency on an open-source projet is is important to determine the answer to the following questions: +
Considerations for depending on an open-source project 1. Does it work? 2. Does anyone "own" the code, or is anyone liable for ensuring it works? 3. Do bugs get fixed quickly? 4. Does it stay up-to-date with new Core features? 5. Is the usage substantial enough to self-sustain? -6. What risks do I take on by taking a dependency on this library? +pendency on this library? -### for adapter maintainers +
-if you're an adapter maintainer interested in joining the trusted adapter program click [Building a Trusted Adapter](8-building-a-trusted-adapter). +### Trusted adapter specifications + +See [Building a Trusted Adapter](/guides/dbt-ecosystem/adapter-development/8-building-a-trusted-adapter) for more information, particularly if you are an adapter maintainer considering having your adapter be added to the trusted list. ### Trusted vs Verified @@ -27,8 +29,7 @@ The Verification program (currently paused) exists to highlight adapters that me - the guidelines given in the Trusted program, - formal agreements required for integration with dbt Cloud -For more information on the Verified Adapter program, reach out the [dbt Labs parnterships team](partnerships@dbtlabs.com) - +For more information on the Verified Adapter program, reach out the [dbt Labs partnerships team](mailto:partnerships@dbtlabs.com) ### Trusted adapters @@ -36,4 +37,4 @@ The following are **Trusted adapters** ✓ you can connect to in dbt Core: import AdaptersTrusted from '/snippets/_adapters-trusted.md'; - \ No newline at end of file + diff --git a/website/docs/guides/dbt-ecosystem/adapter-development/8-trusting-a-new-adapter.md b/website/docs/guides/dbt-ecosystem/adapter-development/8-trusting-a-new-adapter.md index fbaabe83ea0..9e39e5a8897 100644 --- a/website/docs/guides/dbt-ecosystem/adapter-development/8-trusting-a-new-adapter.md +++ b/website/docs/guides/dbt-ecosystem/adapter-development/8-trusting-a-new-adapter.md @@ -15,13 +15,14 @@ By opt-ing into the below, you agree to this, and we take you at your word. dbt To be considered for the Trusted Adapter program, the adapter must cover the essential functionality of dbt Core given below, with best effort given to support the entire feature set. -The adapter should have the required documentation for connecting and configuring the adapter. The dbt docs site should be the single source of truth for this information. These docs should be kept up-to-date. +Essential functionality includes (but is not limited to the following features): -See [this guide](https://docs.getdbt.com/guides/dbt-ecosystem/adapter-development/5-documenting-a-new-adapter) for more information +- table, view, and seed materializations +- dbt tests -#### what is essential? +The adapter should have the required documentation for connecting and configuring the adapter. The dbt docs site should be the single source of truth for this information. These docs should be kept up-to-date. -tables, views, seeds, tests etc +See [Documenting a new adapter](/guides/dbt-ecosystem/adapter-development/5-documenting-a-new-adapter) for more information. ### Release Cadence From c6909d5acd869c8670f7bec446d6e0247771b1ce Mon Sep 17 00:00:00 2001 From: Anders Swanson Date: Mon, 17 Jul 2023 14:19:21 -0400 Subject: [PATCH 026/486] sample workflow --- .../add-adapter-to-trusted-list.yml | 51 +++++++++++++++++++ 1 file changed, 51 insertions(+) create mode 100644 .github/ISSUE_TEMPLATE/add-adapter-to-trusted-list.yml diff --git a/.github/ISSUE_TEMPLATE/add-adapter-to-trusted-list.yml b/.github/ISSUE_TEMPLATE/add-adapter-to-trusted-list.yml new file mode 100644 index 00000000000..b9d45621620 --- /dev/null +++ b/.github/ISSUE_TEMPLATE/add-adapter-to-trusted-list.yml @@ -0,0 +1,51 @@ +name: Add adapter to Trusted list +description: > + For adapter maintainers who wish to have theirs added to the list of [Trusted adapters](https://docs.getdbt.com/docs/trusted-adapters) +labels: ["adapter maintainers","developer blog"] +body: + - type: markdown + attributes: + value: | + We're excited that you'd like to support your adapter formally as "Trusted"! This template will ensure that you are aware of the process and the guidelines. Additionally, that you can vouch that your adapter currently what is expected of a Trusted adapter + + - type: input + id: adapter-repo + attributes: + label: Link to adapter repo + description: Please link to the GitHub repo + validations: + required: true + + - type: input + id: contact + attributes: + label: Contact Details + description: How can we get in touch with you? + placeholder: your preferred email and/or dbt Slack handle + validations: + required: true + + - type: checkboxes + id: author_type + attributes: + label: Which of these best describes you? + options: + - label: I am a dbt Community member or partner contributing to the Developer Blog + - label: I work for the vendor on top of which the dbt adapter functions + + - type: checkboxes + id: read-program-guide + attributes: + label: Please agree to the each of the following + options: + - label: I am a maintainer of the adapter being submited for Trusted status + - label: I have read both the [Trusted adapters](https://docs.getdbt.com/docs/trusted-adapters) and [Building a Trusted Adapter](https://docs.getdbt.com/guides/dbt-ecosystem/adapter-development/8-building-a-trusted-adapter) pages. + - label: I believe that the adapter currently meets the expectations given above + - label: I will ensure this adapter stays in compliance with the guidelines indefinitely + - label: I understand that dbt Labs reserves the right to remove an adapter from the trusted adapter list at any time, should any of the below guidelines not be met + validations: + required: true + + + + From 973269b433642194eda4c75b4255393c6b3f91aa Mon Sep 17 00:00:00 2001 From: Anders Swanson Date: Mon, 17 Jul 2023 14:22:10 -0400 Subject: [PATCH 027/486] reference soon-to-exist template --- .../adapter-development/8-trusting-a-new-adapter.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/guides/dbt-ecosystem/adapter-development/8-trusting-a-new-adapter.md b/website/docs/guides/dbt-ecosystem/adapter-development/8-trusting-a-new-adapter.md index 9e39e5a8897..4d54fc2e90b 100644 --- a/website/docs/guides/dbt-ecosystem/adapter-development/8-trusting-a-new-adapter.md +++ b/website/docs/guides/dbt-ecosystem/adapter-development/8-trusting-a-new-adapter.md @@ -66,7 +66,7 @@ The adapter repository is: ## How to get an adapter verified? -To submit your adapter for consideration as a Trusted adapter, use the "trusted adapter" issue template on the docs.getdbt.com repository. This will prompt you to agree to the following checkboxes: +Open an issue on the [docs.getdbt.com GitHub repository](https://github.com/dbt-labs/docs.getdbt.com) using the "Add adapter to Trusted list" template. In addition to contact information, it will ask confirm that you agree to the following. 1. my adapter meet the guidelines given above 2. I will make best reasonable effort that this continues to be so From 9e3f55a04b2792c4baf8b70c09b4e6cb296ce8e5 Mon Sep 17 00:00:00 2001 From: GabeSchenz Date: Thu, 20 Jul 2023 12:41:59 -0500 Subject: [PATCH 028/486] add pem option to doc --- website/docs/docs/core/connect-data-platform/snowflake-setup.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/core/connect-data-platform/snowflake-setup.md b/website/docs/docs/core/connect-data-platform/snowflake-setup.md index 6bc9c980922..19a846ebb3e 100644 --- a/website/docs/docs/core/connect-data-platform/snowflake-setup.md +++ b/website/docs/docs/core/connect-data-platform/snowflake-setup.md @@ -124,7 +124,7 @@ Along with adding the `authenticator` parameter, be sure to run `alter account s To use key pair authentication, omit a `password` and instead provide a `private_key_path` and, optionally, a `private_key_passphrase` in your target. **Note:** Versions of dbt before 0.16.0 required that private keys were encrypted and a `private_key_passphrase` was provided. This behavior was changed in dbt v0.16.0. -Starting from [dbt v1.5.0](/docs/dbt-versions/core), you have the option to use a `private_key` string instead of a `private_key_path`. The `private_key` string should be in Base64-encoded DER format, representing the key bytes. Refer to [Snowflake documentation](https://docs.snowflake.com/developer-guide/python-connector/python-connector-example#using-key-pair-authentication-key-pair-rotation) for more info on how they generate the key. +Starting from [dbt v1.5.0](/docs/dbt-versions/core), you have the option to use a `private_key` string instead of a `private_key_path`. The `private_key` string should be in either Base64-encoded DER format, representing the key bytes, or a plain-text PEM format. Refer to [Snowflake documentation](https://docs.snowflake.com/developer-guide/python-connector/python-connector-example#using-key-pair-authentication-key-pair-rotation) for more info on how they generate the key. From 3b6a324c1f9fecfcd830dc95b1dc6369d5766337 Mon Sep 17 00:00:00 2001 From: Anders Swanson Date: Mon, 24 Jul 2023 10:36:30 -0400 Subject: [PATCH 029/486] better organize --- website/docs/docs/supported-data-platforms.md | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/website/docs/docs/supported-data-platforms.md b/website/docs/docs/supported-data-platforms.md index bc2a5a119a5..be16a3f1a71 100644 --- a/website/docs/docs/supported-data-platforms.md +++ b/website/docs/docs/supported-data-platforms.md @@ -8,11 +8,13 @@ hide_table_of_contents: true dbt connects to and runs SQL against your database, warehouse, lake, or query engine. These SQL-speaking platforms are collectively referred to as _data platforms_. dbt connects with data platforms by using a dedicated adapter plugin for each. Plugins are built as Python modules that dbt Core discovers if they are installed on your system. Read [What are Adapters](/guides/dbt-ecosystem/adapter-development/1-what-are-adapters) for more info. -You can also [further configure](/reference/resource-configs/postgres-configs) your specific data platform to optimize performance. +You can [connect](/docs/connect-adapters) to adapters and data platforms either directly in the dbt Cloud user interface (UI) or install them manually using the command line (CLI). + +You can also further customize how dbt works with your specific data platform via configuration: see [Configuring Postgres](/reference/resource-configs/postgres-configs) for an example. ## Types of Adapters -You can [connect](/docs/connect-adapters) to adapters and data platforms either directly in the dbt Cloud user interface (UI) or install them manually using the command line (CLI). There are three types of adapters available today. The purpose of differentiation is to provide users with an easier means to evaluate adapter quality. +There are three types of adapters available today. The purpose of differentiation is to provide users with an easier means to evaluate adapter quality. - **Verified** — dbt Labs' strict [adapter program](/guides/dbt-ecosystem/adapter-development/7-verifying-a-new-adapter) assures users of trustworthy, tested, and regularly updated adapters for production use. Verified adapters earn a "Verified" status, providing users with trust and confidence. - **Trusted** — [Trusted adapters](trusted-adapters) are those where the adapter maintainers have agreed to meet a higher standard of quality. From 8ec3c94dcc70136bf14b281999c819b7fa750604 Mon Sep 17 00:00:00 2001 From: Anders Swanson Date: Mon, 24 Jul 2023 10:39:25 -0400 Subject: [PATCH 030/486] amyd feedback --- website/docs/docs/supported-data-platforms.md | 2 +- website/docs/docs/trusted-adapters.md | 2 +- website/docs/docs/verified-adapters.md | 2 ++ 3 files changed, 4 insertions(+), 2 deletions(-) diff --git a/website/docs/docs/supported-data-platforms.md b/website/docs/docs/supported-data-platforms.md index be16a3f1a71..b9962dc8738 100644 --- a/website/docs/docs/supported-data-platforms.md +++ b/website/docs/docs/supported-data-platforms.md @@ -16,7 +16,7 @@ You can also further customize how dbt works with your specific data platform vi There are three types of adapters available today. The purpose of differentiation is to provide users with an easier means to evaluate adapter quality. -- **Verified** — dbt Labs' strict [adapter program](/guides/dbt-ecosystem/adapter-development/7-verifying-a-new-adapter) assures users of trustworthy, tested, and regularly updated adapters for production use. Verified adapters earn a "Verified" status, providing users with trust and confidence. +- **Verified** — [Verified adapters](verified-adapters) are those that have completed a rigorous verification process in collaboration with dbt Labs. - **Trusted** — [Trusted adapters](trusted-adapters) are those where the adapter maintainers have agreed to meet a higher standard of quality. - **Community** — [Community adapters](community-adapters) are open-source and maintained by community members. diff --git a/website/docs/docs/trusted-adapters.md b/website/docs/docs/trusted-adapters.md index 8b304d01b0d..f3ff07467c3 100644 --- a/website/docs/docs/trusted-adapters.md +++ b/website/docs/docs/trusted-adapters.md @@ -24,7 +24,7 @@ See [Building a Trusted Adapter](/guides/dbt-ecosystem/adapter-development/8-bui ### Trusted vs Verified -The Verification program (currently paused) exists to highlight adapters that meets both of the following criteria: +The Verification program exists to highlight adapters that meets both of the following criteria: - the guidelines given in the Trusted program, - formal agreements required for integration with dbt Cloud diff --git a/website/docs/docs/verified-adapters.md b/website/docs/docs/verified-adapters.md index d5611c7062f..8ec0c700ea4 100644 --- a/website/docs/docs/verified-adapters.md +++ b/website/docs/docs/verified-adapters.md @@ -8,6 +8,8 @@ The dbt Labs has a rigorous verified adapter program which provides reassurance These adapters then earn a "Verified" status so that users can have a certain level of trust and expectation when they use them. The adapters also have maintainers and we recommend using the adapter's verification status to determine its quality and health. +The verification process serves as the on-ramp to integration with dbt Cloud. As such, we restrict applicants to data platform vendors with whom we are already engaged. + To learn more, see [Verifying a new adapter](/guides/dbt-ecosystem/adapter-development/7-verifying-a-new-adapter). Here's the list of the verified data platforms that can connect to dbt and its latest version. From a82419469bd5acfc5c77d56a8595ba1b8c9fc7ab Mon Sep 17 00:00:00 2001 From: Anders Date: Mon, 31 Jul 2023 14:43:21 -0400 Subject: [PATCH 031/486] Apply suggestions from code review Co-authored-by: Jason Ganz --- .github/ISSUE_TEMPLATE/add-adapter-to-trusted-list.yml | 8 ++++---- website/docs/docs/supported-data-platforms.md | 2 +- .../adapter-development/8-trusting-a-new-adapter.md | 2 +- 3 files changed, 6 insertions(+), 6 deletions(-) diff --git a/.github/ISSUE_TEMPLATE/add-adapter-to-trusted-list.yml b/.github/ISSUE_TEMPLATE/add-adapter-to-trusted-list.yml index b9d45621620..1706f1c0e6a 100644 --- a/.github/ISSUE_TEMPLATE/add-adapter-to-trusted-list.yml +++ b/.github/ISSUE_TEMPLATE/add-adapter-to-trusted-list.yml @@ -1,12 +1,12 @@ name: Add adapter to Trusted list description: > For adapter maintainers who wish to have theirs added to the list of [Trusted adapters](https://docs.getdbt.com/docs/trusted-adapters) -labels: ["adapter maintainers","developer blog"] +labels: ["adapter maintainers"] body: - type: markdown attributes: value: | - We're excited that you'd like to support your adapter formally as "Trusted"! This template will ensure that you are aware of the process and the guidelines. Additionally, that you can vouch that your adapter currently what is expected of a Trusted adapter + We're excited that you'd like to support your adapter formally as "Trusted"! This template will ensure that you are aware of the process and the guidelines. Additionally, that you can vouch that your adapter currently meets the standards of a Trusted adapter - type: input id: adapter-repo @@ -30,7 +30,7 @@ body: attributes: label: Which of these best describes you? options: - - label: I am a dbt Community member or partner contributing to the Developer Blog + - label: I am a dbt Community member - label: I work for the vendor on top of which the dbt adapter functions - type: checkboxes @@ -41,7 +41,7 @@ body: - label: I am a maintainer of the adapter being submited for Trusted status - label: I have read both the [Trusted adapters](https://docs.getdbt.com/docs/trusted-adapters) and [Building a Trusted Adapter](https://docs.getdbt.com/guides/dbt-ecosystem/adapter-development/8-building-a-trusted-adapter) pages. - label: I believe that the adapter currently meets the expectations given above - - label: I will ensure this adapter stays in compliance with the guidelines indefinitely +- label: I will ensure this adapter stays in compliance with the guidelines - label: I understand that dbt Labs reserves the right to remove an adapter from the trusted adapter list at any time, should any of the below guidelines not be met validations: required: true diff --git a/website/docs/docs/supported-data-platforms.md b/website/docs/docs/supported-data-platforms.md index b9962dc8738..e1e14421b95 100644 --- a/website/docs/docs/supported-data-platforms.md +++ b/website/docs/docs/supported-data-platforms.md @@ -14,7 +14,7 @@ You can also further customize how dbt works with your specific data platform vi ## Types of Adapters -There are three types of adapters available today. The purpose of differentiation is to provide users with an easier means to evaluate adapter quality. +There are three types of adapters available today: - **Verified** — [Verified adapters](verified-adapters) are those that have completed a rigorous verification process in collaboration with dbt Labs. - **Trusted** — [Trusted adapters](trusted-adapters) are those where the adapter maintainers have agreed to meet a higher standard of quality. diff --git a/website/docs/guides/dbt-ecosystem/adapter-development/8-trusting-a-new-adapter.md b/website/docs/guides/dbt-ecosystem/adapter-development/8-trusting-a-new-adapter.md index 4d54fc2e90b..059f793fce1 100644 --- a/website/docs/guides/dbt-ecosystem/adapter-development/8-trusting-a-new-adapter.md +++ b/website/docs/guides/dbt-ecosystem/adapter-development/8-trusting-a-new-adapter.md @@ -9,7 +9,7 @@ The Trusted adapter program exists to allow adapter maintainers to demonstrate t Below are some categories with stuff. -By opt-ing into the below, you agree to this, and we take you at your word. dbt Labs reserves the right to remove an adapter from the trusted adapter list at any time, should any of the below guidelines not be met. +By opting into the below, you agree to this, and we take you at your word. dbt Labs reserves the right to remove an adapter from the trusted adapter list at any time, should any of the below guidelines not be met. ### Feature Completeness From 0391333fef0f4a5dac9ff7d26004fe8699f1698b Mon Sep 17 00:00:00 2001 From: Anders Swanson Date: Mon, 31 Jul 2023 14:47:27 -0400 Subject: [PATCH 032/486] address feedback --- ...-trusting-a-new-adapter.md => 8-building-a-trusted-adapter.md} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename website/docs/guides/dbt-ecosystem/adapter-development/{8-trusting-a-new-adapter.md => 8-building-a-trusted-adapter.md} (100%) diff --git a/website/docs/guides/dbt-ecosystem/adapter-development/8-trusting-a-new-adapter.md b/website/docs/guides/dbt-ecosystem/adapter-development/8-building-a-trusted-adapter.md similarity index 100% rename from website/docs/guides/dbt-ecosystem/adapter-development/8-trusting-a-new-adapter.md rename to website/docs/guides/dbt-ecosystem/adapter-development/8-building-a-trusted-adapter.md From 274cb783a3e2e764d4c2cf5cf0bd1a73d370e84f Mon Sep 17 00:00:00 2001 From: Anders Swanson Date: Mon, 31 Jul 2023 14:49:20 -0400 Subject: [PATCH 033/486] feedback --- .../8-building-a-trusted-adapter.md | 2 -- website/snippets/_adapters-trusted.md | 10 ---------- 2 files changed, 12 deletions(-) diff --git a/website/docs/guides/dbt-ecosystem/adapter-development/8-building-a-trusted-adapter.md b/website/docs/guides/dbt-ecosystem/adapter-development/8-building-a-trusted-adapter.md index 059f793fce1..b8cef0ea34a 100644 --- a/website/docs/guides/dbt-ecosystem/adapter-development/8-building-a-trusted-adapter.md +++ b/website/docs/guides/dbt-ecosystem/adapter-development/8-building-a-trusted-adapter.md @@ -7,8 +7,6 @@ The Trusted adapter program exists to allow adapter maintainers to demonstrate t ## What does it mean to be trusted -Below are some categories with stuff. - By opting into the below, you agree to this, and we take you at your word. dbt Labs reserves the right to remove an adapter from the trusted adapter list at any time, should any of the below guidelines not be met. ### Feature Completeness diff --git a/website/snippets/_adapters-trusted.md b/website/snippets/_adapters-trusted.md index 57e667e5198..7d961e62ee6 100644 --- a/website/snippets/_adapters-trusted.md +++ b/website/snippets/_adapters-trusted.md @@ -1,15 +1,5 @@
- - - - Date: Thu, 20 Jul 2023 18:24:18 +0200 Subject: [PATCH 034/486] Add Upsolver documentation to DBT docs --- website/docs/docs/community-adapters.md | 2 +- .../connect-data-platform/upsolver-setup.md | 84 ++++ website/docs/quickstarts/upsolver-qs.md | 249 +++++++++++ .../resource-configs/upsolver-configs.md | 413 ++++++++++++++++++ website/sidebars.js | 2 + website/static/_redirects | 1 + website/static/img/icons/upsolver.svg | 18 + website/static/img/icons/white/upsolver.svg | 18 + 8 files changed, 786 insertions(+), 1 deletion(-) create mode 100644 website/docs/docs/core/connect-data-platform/upsolver-setup.md create mode 100644 website/docs/quickstarts/upsolver-qs.md create mode 100644 website/docs/reference/resource-configs/upsolver-configs.md create mode 100644 website/static/img/icons/upsolver.svg create mode 100644 website/static/img/icons/white/upsolver.svg diff --git a/website/docs/docs/community-adapters.md b/website/docs/docs/community-adapters.md index 6569a78459b..87d1bd4981e 100644 --- a/website/docs/docs/community-adapters.md +++ b/website/docs/docs/community-adapters.md @@ -15,6 +15,6 @@ Community adapters are adapter plugins contributed and maintained by members of | [Dremio](/docs/core/connect-data-platform/dremio-setup) | [Layer](/docs/core/connect-data-platform/layer-setup) | [Teradata](/docs/core/connect-data-platform/teradata-setup) | | [Exasol Analytics](/docs/core/connect-data-platform/exasol-setup) | [Materialize](/docs/core/connect-data-platform/materialize-setup) | [TiDB](/docs/core/connect-data-platform/tidb-setup) | | [Firebolt](/docs/core/connect-data-platform/firebolt-setup) | [MindsDB](/docs/core/connect-data-platform/mindsdb-setup) | [Vertica](/docs/core/connect-data-platform/vertica-setup) | -| [AWS Glue](/docs/core/connect-data-platform/glue-setup) | [MySQL](/docs/core/connect-data-platform/mysql-setup)| | +| [AWS Glue](/docs/core/connect-data-platform/glue-setup) | [MySQL](/docs/core/connect-data-platform/mysql-setup)| [Upsolver](/docs/core/connect-data-platform/upsolver-setup) | | [Databend Cloud](/docs/core/connect-data-platform/databend-setup) | [fal - Python models](/docs/core/connect-data-platform/fal-setup) | | diff --git a/website/docs/docs/core/connect-data-platform/upsolver-setup.md b/website/docs/docs/core/connect-data-platform/upsolver-setup.md new file mode 100644 index 00000000000..68cfa3045cd --- /dev/null +++ b/website/docs/docs/core/connect-data-platform/upsolver-setup.md @@ -0,0 +1,84 @@ +--- +title: "Upsolver setup" +description: "Read this guide to learn how to configure Upsolver with dbt." +id: "upsolver-setup" +meta: + maintained_by: Upsolver Team + authors: Upsolver Team + github_repo: 'Upsolver/dbt-upsolver' + pypi_package: 'dbt-upsolver' + min_core_version: 'v1.5.0' + cloud_support: Not Supported + min_supported_version: 'n/a' + slack_channel_name: 'Upsolver Comunity' + slack_channel_link: 'https://join.slack.com/t/upsolvercommunity/shared_invite/zt-1zo1dbyys-hj28WfaZvMh4Z4Id3OkkhA' + platform_name: 'Upsolver' + config_page: '/reference/resource-configs/upsolver-configs' +--- + +

Overview of {frontMatter.meta.pypi_package}

+ + +

Installing {frontMatter.meta.pypi_package}

+ +pip is the easiest way to install the adapter: + +pip install {frontMatter.meta.pypi_package} + +

Installing {frontMatter.meta.pypi_package} will also install dbt-core and any other dependencies.

+ +

Configuring {frontMatter.meta.pypi_package}

+ +

For {frontMatter.meta.platform_name}-specifc configuration please refer to {frontMatter.meta.platform_name} Configuration

+ +

For further info, refer to the GitHub repository: {frontMatter.meta.github_repo}

+ +## Authentication Methods + +### User / Token authentication + +Upsolver can be configured using basic user/token authentication as shown below. + + + +```yaml +my-upsolver-db: + target: dev + outputs: + dev: + type: upsolver + api_url: https://mt-api-prod.upsolver.com + + user: [username] + token: [token] + + database: [database name] + schema: [schema name] + threads: [1 or more] + + ``` + + + +## Configurations + +The configs for Upsolver targets are shown below. + +### All configurations + +| Config | Required? | Description | +| ------ | --------- | ----------- | +| token | Yes | The token to connect Upsolver [Upsolver's documentation](https://docs.upsolver.com/sqlake/api-integration) | +| user | Yes | The user to log in as | +| database | Yes | The database that dbt should create models in | +| schema | Yes | The schema to build models into by default | +| api_url | Yes | The API url to connect. Common value ```https://mt-api-prod.upsolver.com``` | diff --git a/website/docs/quickstarts/upsolver-qs.md b/website/docs/quickstarts/upsolver-qs.md new file mode 100644 index 00000000000..3970ad3828d --- /dev/null +++ b/website/docs/quickstarts/upsolver-qs.md @@ -0,0 +1,249 @@ +--- +title: "Quickstart for dbt Core and Upsolver" +id: "upsolver" +platform: 'dbt-core' +icon: 'upsolver' +hide_table_of_contents: true +--- + +## What is Upsolver + +[Upsolver](https://upsolver.com) enables you to use familiar SQL syntax to quickly build and deploy data pipelines, powered by a stream processing engine designed for cloud data lakes. Upsolver has own UI with SQL console allowing to execute commands and monitor pipelines in the UI. It also includes free trial and access to variety of examples and tutorials. + +## Installation + +### Install dbt-upsolver adapter + +```sh + pip install dbt-upsolver +``` + +### Make sure the adapter is installed + +```sh +dbt --version +``` + +### Expected result + +```sh +Core: + - installed: + - latest: +Plugins: + - upsolver: +``` + +## Upsolver account, API token, datsabase, schema + +For registeration navigate to [SQL Lake Sign Up form](https://sqlake.upsolver.com/signup). You'll have access to SQL workbench with examples and tutorials after completing the registration. + +### Create API token + +After login navigate to "[Settings](https://sqlake.upsolver.com/Settings)" and then to "[API Tokens](https://sqlake.upsolver.com/Settings/api-tokens)" + +You will need API token and API Url to access Upsolver programatically. + +![API Tokens screen](https://github.com/Upsolver/upsolver-sdk-python/raw/build_package/doc/img/APITokens-m.png) + +Then click "Generate" new token and save it for future use. + +### Get your user name, database and schema + +- For **user name** navigate to **Settings** -> **User details** and copy user name +- For **database** and **schema** navigate to **Worksheets** and click **New**. +- You will find **database name** and **schema(catalog) name** under **Entities panel** + +## dbt-upsolver project + +```sh +dbt init +``` + +Prompt: + +Which database would you like to use? +[1] upsolver + +```sh +Enter a number: +api_url (your api_url): https://mt-api-prod.upsolver.com +token (your token): +user (dev username): +database (default database): +schema (default schema): +threads (1 or more) [1]: +``` + +### profiles.yml + +- On mac `profiles.yml` location usually is `/Users//.dbt/profiles.yml` +- On Linux `/home//.dbt/profiles.yml` + +```yml +project_name: + target: dev + outputs: + dev: + api_url: https://mt-api-prod.upsolver.com + database: ... + schema: ... + threads: 1 + token: ... + type: upsolver + user: ... +``` + +### Check connection + +```sh +dbt debug +``` + +## Supported Commands + +### Supported dbt commands + +| COMMAND | STATE | +| ------ | ------ | +| docs| not supported | +| source | not supported | +| init | supported | +| clean | supported | +| debug | supported | +| deps | supported | +| list| not supported | +| ls | not supported | +| build | supported | +| snapshot | not supported | +| run | supported | +| compile | supported | +| parse | supported | +| test | not supported | +| seed | not supported | +| run-operation | supported | + +### Supported Upsolver functionality + +| COMMAND | STATE | MATERIALIZED | +| ------ | ------ | ------ | +| SQL compute cluster| not supported | - | +| SQL connections| supported | connection | +| SQL copy job | supported | incremental | +| SQL merge job | supported | incremental | +| SQL insert job | supported | incremental | +| SQL materialized views | supported | materializedview | + +## SQL connections + +Connections are used to provide Upsolver with the proper credentials to bring your data into SQLake as well as to write out your transformed data to various services. More details on ["Upsolver SQL connections"](https://docs.upsolver.com/sqlake/sql-command-reference/sql-connections) +As a dbt model connection is a model with materialized='connection' + +```sql +{{ config( + materialized='connection', + connection_type={ 'S3' | 'GLUE_CATALOG' | 'KINESIS' | 'KAFKA'| 'SNOWFLAKE' }, + connection_options={} + ) +}} +``` + +Running this model will compile CREATE CONNECTION(or ALTER CONNECTION if exists) SQL and send it to Upsolver engine. Name of the connection will be name of the model. + +## SQL copy job + +A COPY FROM job allows you to copy your data from a given source into a table created in a metastore connection. This table then serves as your staging table and can be used with SQLake transformation jobs to write to various target locations. More details on ["Upsolver SQL copy-from"](https://docs.upsolver.com/sqlake/sql-command-reference/sql-jobs/create-job/copy-from) + +As a dbt model copy job is model with materialized='incremental' + +```sql +{{ config( materialized='incremental', + sync=True|False, + source = 'S3'| 'KAFKA' | ... , + options={ + 'option_name': 'option_value' + }, + partition_by=[{}] + ) +}} +SELECT * FROM {{ ref() }} +``` + +Running this model will compile CREATE TABLE SQL(or ALTER TABLE if exists) and CREATE COPY JOB(or ALTER COPY JOB if exists) SQL and send it to Upsolver engine. Name of the table will be name of the model. Name of the job will be name of the model plus '_job' + +## SQL insert job + +An INSERT job defines a query that pulls in a set of data based on the given SELECT statement and inserts it into the designated target. This query is then run periodically based on the RUN_INTERVAL defined within the job. More details on ["Upsolver SQL insert"](https://docs.upsolver.com/sqlake/sql-command-reference/sql-jobs/create-job/sql-transformation-jobs/insert). + +As a dbt model insert job is model with materialized='incremental' and incremental_strategy='insert' + +```sql +{{ config( materialized='incremental', + sync=True|False, + map_columns_by_name=True|False, + incremental_strategy='insert', + options={ + 'option_name': 'option_value' + }, + primary_key=[{}] + ) +}} +SELECT ... +FROM {{ ref() }} +WHERE ... +GROUP BY ... +HAVING COUNT(DISTINCT orderid::string) ... +``` + +Running this model will compile CREATE TABLE SQL(or ALTER TABLE if exists) and CREATE INSERT JOB(or ALTER INSERT JOB if exists) SQL and send it to Upsolver engine. Name of the table will be name of the model. Name of the job will be name of the model plus '_job' + +## SQL merge job + +A MERGE job defines a query that pulls in a set of data based on the given SELECT statement and inserts into, replaces, or deletes the data from the designated target based on the job definition. This query is then run periodically based on the RUN_INTERVAL defined within the job. More details on ["Upsolver SQL merge"](https://docs.upsolver.com/sqlake/sql-command-reference/sql-jobs/create-job/sql-transformation-jobs/merge). + +As a dbt model merge job is model with materialized='incremental' and incremental_strategy='merge' + +```sql +{{ config( materialized='incremental', + sync=True|False, + map_columns_by_name=True|False, + incremental_strategy='merge', + options={ + 'option_name': 'option_value' + }, + primary_key=[{}] + ) +}} +SELECT ... +FROM {{ ref() }} +WHERE ... +GROUP BY ... +HAVING COUNT ... +``` + +Running this model will compile CREATE TABLE SQL(or ALTER TABLE if exists) and CREATE MERGE JOB(or ALTER MERGE JOB if exists) SQL and send it to Upsolver engine. Name of the table will be name of the model. Name of the job will be name of the model plus '_job' + +## SQL materialized views + +When transforming your data, you may find that you need data from multiple source tables in order to achieve your desired result. +In such a case, you can create a materialized view from one SQLake table in order to join it with your other table (which in this case is considered the main table). More details on ["Upsolver SQL materialized views"](https://docs.upsolver.com/sqlake/sql-command-reference/sql-jobs/create-job/sql-transformation-jobs/sql-materialized-views). + +As a dbt model materialized views is model with materialized='materializedview'. + +```sql +{{ config( materialized='materializedview', + sync=True|False, + options={'option_name': 'option_value'} + ) +}} +SELECT ... +FROM {{ ref() }} +WHERE ... +GROUP BY ... +``` + +Running this model will compile CREATE MATERIALIZED VIEW SQL(or ALTER MATERIALIZED VIEW if exists) and send it to Upsolver engine. Name of the materializedview will be name of the model. + +## Projects examples + +> projects examples link: [github.com/dbt-upsolver/examples/](https://github.com/Upsolver/dbt-upsolver/tree/main/examples) diff --git a/website/docs/reference/resource-configs/upsolver-configs.md b/website/docs/reference/resource-configs/upsolver-configs.md new file mode 100644 index 00000000000..f8e7b8f4d2d --- /dev/null +++ b/website/docs/reference/resource-configs/upsolver-configs.md @@ -0,0 +1,413 @@ +--- +title: "Upsolver configurations" +id: "upsolver-configs" +description: "Upsolver Configurations - Read this in-depth guide to learn about configurations in dbt." +--- + +## Supported Upsolver SQLake functionality: + +| COMMAND | STATE | MATERIALIZED | +| ------ | ------ | ------ | +| SQL compute cluster| not supported | - | +| SQL connections| supported | connection | +| SQL copy job | supported | incremental | +| SQL merge job | supported | incremental | +| SQL insert job | supported | incremental | +| SQL materialized views | supported | materializedview | + + +## Configs materialization + +| Config | Required | Materialization | Description | Example | +| ------ | --------- | --------------- | ---------- | ------- | +| connection_type | Yes | connection | Connection identifier: S3/GLUE_CATALOG/KINESIS | connection_type='S3' | +| connection_options | Yes | connection | Dictionary of options supported by selected connection | connection_options={ 'aws_role': 'aws_role', 'external_id': 'SAMPLES', 'read_only': True } | +| incremental_strategy | No | incremental | Define one of incremental strategies: merge/copy/insert. Default: copy | incremental_strategy='merge' | +| source | No | incremental | Define source to copy from: S3/KAFKA/KINESIS | source = 'S3' | +| target_type | No | incremental | Define supported target to copy into. Default: copy into a table created in a metastore connection | target_type='Snowflake' | +| target_schema | Yes/No | incremental | Define target schema. Required if target_type not table created in a metastore connection | target_schema = 'your_schema' | +| target_connection | Yes/No | incremental | Define target connection. Required if target_type not table created in a metastore connection | target_connection = 'your_snowflake_connection' | +| target_table_alias | Yes/No | incremental | Define target table. Required if target_type not table created in a metastore connection | target_table_alias = 'target_table' | +| delete_condition | No | incremental | Records that match the ON condition and a delete condition can be deleted | delete_condition='nettotal > 1000' | +| partition_by | No | incremental | List of dictionaries to define partition_by for target metastore table | partition_by=[{'field':'$field_name'}] | +| primary_key | No | incremental | List of dictionaries to define partition_by for target metastore table | primary_key=[{'field':'customer_email', 'type':'string'}] | +| map_columns_by_name | No | incremental | Maps columns from the SELECT statement to the table. Boolean. Default: False | map_columns_by_name=True | +| sync | No | incremental/materializedview | Boolean option to define if job is synchronized or non-msynchronized. Default: False | sync=True | +| options | No | incremental/materializedview | Dictionary of job options | options={ 'START_FROM': 'BEGINNING', 'ADD_MISSING_COLUMNS': True } | + + +## SQL connection options + +Connections are used to provide Upsolver with the proper credentials to bring your data into SQLake as well as to write out your transformed data to various services. More details on ["Upsolver SQL connections"](https://docs.upsolver.com/sqlake/sql-command-reference/sql-connections) +As a dbt model connection is a model with materialized='connection' + +```sql +{{ config( + materialized='connection', + connection_type={ 'S3' | 'GLUE_CATALOG' | 'KINESIS' | 'KAFKA'| 'SNOWFLAKE' }, + connection_options={} + ) +}} +``` + +Running this model will compile CREATE CONNECTION(or ALTER CONNECTION if exists) SQL and send it to Upsolver engine. Name of the connection will be name of the model. + + +## SQL copy job + +A COPY FROM job allows you to copy your data from a given source into a table created in a metastore connection. This table then serves as your staging table and can be used with SQLake transformation jobs to write to various target locations. More details on ["Upsolver SQL copy-from"](https://docs.upsolver.com/sqlake/sql-command-reference/sql-jobs/create-job/copy-from) + +As a dbt model copy job is model with materialized='incremental' +```sql +{{ config( materialized='incremental', + sync=True|False, + source = 'S3'| 'KAFKA' | ... , + options={ + 'option_name': 'option_value' + }, + partition_by=[{}] + ) +}} +SELECT * FROM {{ ref() }} +``` +Running this model will compile CREATE TABLE SQL(or ALTER TABLE if exists) and CREATE COPY JOB(or ALTER COPY JOB if exists) SQL and send it to Upsolver engine. Name of the table will be name of the model. Name of the job will be name of the model plus '_job' + + +## SQL insert job + +An INSERT job defines a query that pulls in a set of data based on the given SELECT statement and inserts it into the designated target. This query is then run periodically based on the RUN_INTERVAL defined within the job. More details on ["Upsolver SQL insert"](https://docs.upsolver.com/sqlake/sql-command-reference/sql-jobs/create-job/sql-transformation-jobs/insert). + +As a dbt model insert job is model with materialized='incremental' and incremental_strategy='insert' + +```sql +{{ config( materialized='incremental', + sync=True|False, + map_columns_by_name=True|False, + incremental_strategy='insert', + options={ + 'option_name': 'option_value' + }, + primary_key=[{}] + ) +}} +SELECT ... +FROM {{ ref() }} +WHERE ... +GROUP BY ... +HAVING COUNT(DISTINCT orderid::string) ... +``` + +Running this model will compile CREATE TABLE SQL(or ALTER TABLE if exists) and CREATE INSERT JOB(or ALTER INSERT JOB if exists) SQL and send it to Upsolver engine. Name of the table will be name of the model. Name of the job will be name of the model plus '_job' + + +## SQL merge job + +A MERGE job defines a query that pulls in a set of data based on the given SELECT statement and inserts into, replaces, or deletes the data from the designated target based on the job definition. This query is then run periodically based on the RUN_INTERVAL defined within the job. More details on ["Upsolver SQL merge"](https://docs.upsolver.com/sqlake/sql-command-reference/sql-jobs/create-job/sql-transformation-jobs/merge). + +As a dbt model merge job is model with materialized='incremental' and incremental_strategy='merge' + +```sql +{{ config( materialized='incremental', + sync=True|False, + map_columns_by_name=True|False, + incremental_strategy='merge', + options={ + 'option_name': 'option_value' + }, + primary_key=[{}] + ) +}} +SELECT ... +FROM {{ ref() }} +WHERE ... +GROUP BY ... +HAVING COUNT ... +``` + +Running this model will compile CREATE TABLE SQL(or ALTER TABLE if exists) and CREATE MERGE JOB(or ALTER MERGE JOB if exists) SQL and send it to Upsolver engine. Name of the table will be name of the model. Name of the job will be name of the model plus '_job' + +## SQL materialized views + +When transforming your data, you may find that you need data from multiple source tables in order to achieve your desired result. +In such a case, you can create a materialized view from one SQLake table in order to join it with your other table (which in this case is considered the main table). More details on ["Upsolver SQL materialized views"](https://docs.upsolver.com/sqlake/sql-command-reference/sql-jobs/create-job/sql-transformation-jobs/sql-materialized-views). + +As a dbt model materialized views is model with materialized='materializedview'. + +```sql +{{ config( materialized='materializedview', + sync=True|False, + options={'option_name': 'option_value'} + ) +}} +SELECT ... +FROM {{ ref() }} +WHERE ... +GROUP BY ... +``` + +Running this model will compile CREATE MATERIALIZED VIEW SQL(or ALTER MATERIALIZED VIEW if exists) and send it to Upsolver engine. Name of the materializedview will be name of the model. + +## Expectations/constraints + +Data quality conditions can be added to your job to drop a row or trigger a warning when a column violates a predefined condition. + +```sql +WITH EXPECTATION EXPECT +ON VIOLATION WARN +``` + +Expectations can be implemented with dbt constraints +Supported constraints: check and not_null + +```yaml +models: + - name: + # required + config: + contract: + enforced: true + # model-level constraints + constraints: + - type: check + columns: [`''`, `''`] + expression: "column1 <= column2" + name: + - type: not_null + columns: ['column1', 'column2'] + name: + + columns: + - name: + data_type: string + + # column-level constraints + constraints: + - type: not_null + - type: check + expression: "REGEXP_LIKE(, '^[0-9]{4}[a-z]{5}$')" + name: +``` + +## Projects examples + +> projects examples link: [github.com/dbt-upsolver/examples/](https://github.com/Upsolver/dbt-upsolver/tree/main/examples) + +## Connection options + +| Option | Storage | Editable | Optional | Config Syntax | +| -------| --------- | -------- | -------- | ------------- | +| aws_role | s3 | True | True | 'aws_role': `''` | +| external_id | s3 | True | True | 'external_id': `''` | +| aws_access_key_id | s3 | True | True | 'aws_access_key_id': `''` | +| aws_secret_access_key_id | s3 | True | True | 'aws_secret_access_key_id': `''` | +| path_display_filter | s3 | True | True | 'path_display_filter': `''` | +| path_display_filters | s3 | True | True | 'path_display_filters': (`''`, ...) | +| read_only | s3 | True | True | 'read_only': True/False | +| encryption_kms_key | s3 | True | True | 'encryption_kms_key': `''` | +| encryption_customer_kms_key | s3 | True | True | 'encryption_customer_kms_key': `''` | +| comment | s3 | True | True | 'comment': `''` | +| host | kafka | False | False | 'host': `''` | +| hosts | kafka | False | False | 'hosts': (`''`, ...) | +| consumer_properties | kafka | True | True | 'consumer_properties': `''` | +| version | kafka | False | True | 'version': `''` | +| require_static_ip | kafka | True | True | 'require_static_ip': True/False | +| ssl | kafka | True | True | 'ssl': True/False | +| topic_display_filter | kafka | True | True | 'topic_display_filter': `''` | +| topic_display_filters | kafka | True | True | 'topic_display_filter': (`''`, ...) | +| comment | kafka | True | True | 'comment': `''` | +| aws_role | glue_catalog | True | True | 'aws_role': `''` | +| external_id | glue_catalog | True | True | 'external_id': `''` | +| aws_access_key_id | glue_catalog | True | True | 'aws_access_key_id': `''` | +| aws_secret_access_key | glue_catalog | True | True | 'aws_secret_access_key': `''` | +| default_storage_connection | glue_catalog | False | False | 'default_storage_connection': `''` | +| default_storage_location | glue_catalog | False | False | 'default_storage_location': `''` | +| region | glue_catalog | False | True | 'region': `''` | +| database_display_filter | glue_catalog | True | True | 'database_display_filter': `''` | +| database_display_filters | glue_catalog | True | True | 'database_display_filters': (`''`, ...) | +| comment | glue_catalog | True | True | 'comment': `''` | +| aws_role | kinesis | True | True | 'aws_role': `''` | +| external_id | kinesis | True | True | 'external_id': `''` | +| aws_access_key_id | kinesis | True | True | 'aws_access_key_id': `''` | +| aws_secret_access_key | kinesis | True | True | 'aws_secret_access_key': `''` | +| region | kinesis | False | False | 'region': `''` | +| read_only | kinesis | False | True | 'read_only': True/False | +| max_writers | kinesis | True | True | 'max_writers': `` | +| stream_display_filter | kinesis | True | True | 'stream_display_filter': `''` | +| stream_display_filters | kinesis | True | True | 'stream_display_filters': (`''`, ...) | +| comment | kinesis | True | True | 'comment': `''` | +| connection_string | snowflake | True | False | 'connection_string': `''` | +| user_name | snowflake | True | False | 'user_name': `''` | +| password | snowflake | True | False | 'password': `''` | +| max_concurrent_connections | snowflake | True | True | 'max_concurrent_connections': `` | +| comment | snowflake | True | True | 'comment': `''` | +| connection_string | redshift | True | False | 'connection_string': `''` | +| user_name | redshift | True | False | 'user_name': `''` | +| password | redshift | True | False | 'password': `''` | +| max_concurrent_connections | redshift | True | True | 'max_concurrent_connections': `` | +| comment | redshift | True | True | 'comment': `''` | +| connection_string | mysql | True | False | 'connection_string': `''` | +| user_name | mysql | True | False | 'user_name': `''` | +| password | mysql | True | False | 'password': `''` | +| comment | mysql | True | True | 'comment': `''` | +| connection_string | postgres | True | False | 'connection_string': `''` | +| user_name | postgres | True | False | 'user_name': `''` | +| password | postgres | True | False | 'password': `''` | +| comment | postgres | True | True | 'comment': `''` | +| connection_string | elasticsearch | True | False | 'connection_string': `''` | +| user_name | elasticsearch | True | False | 'user_name': `''` | +| password | elasticsearch | True | False | 'password': `''` | +| comment | elasticsearch | True | True | 'comment': `''` | + + +## Target options + +| Option | Storage | Editable | Optional | Config Syntax | +| -------| --------- | -------- | -------- | ------------- | +| globally_unique_keys | datalake | False | True | 'globally_unique_keys': True/False | +| storage_connection | datalake | False | True | 'storage_connection': `''` | +| storage_location | datalake | False | True | 'storage_location': `''` | +| compute_cluster | datalake | True | True | 'compute_cluster': `''` | +| compression | datalake | True | True | 'compression': 'SNAPPY/GZIP' | +| compaction_processes | datalake | True | True | 'compaction_processes': `` | +| disable_compaction | datalake | True | True | 'disable_compaction': True/False | +| retention_date_partition | datalake | False | True | 'retention_date_partition': `''` | +| table_data_retention | datalake | True | True | 'table_data_retention': `''` | +| column_data_retention | datalake | True | True | 'column_data_retention': ({'COLUMN' : `''`,'DURATION': `''`}) | +| comment | datalake | True | True | 'comment': `''` | +| storage_connection | materialized_view | False | True | 'storage_connection': `''` | +| storage_location | materialized_view | False | True | 'storage_location': `''` | +| max_time_travel_duration | materialized_view | True | True | 'max_time_travel_duration': `''` | +| compute_cluster | materialized_view | True | True | 'compute_cluster': `''` | +| column_transformations | snowflake | False | True | 'column_transformations': {`''` : `''` , ...} | +| deduplicate_with | snowflake | False | True | 'deduplicate_with': {'COLUMNS' : ['col1', 'col2'],'WINDOW': 'N HOURS'} | +| exclude_columns | snowflake | False | True | 'exclude_columns': (`''`, ...) | +| create_table_if_missing | snowflake | False | True | 'create_table_if_missing': True/False} | +| run_interval | snowflake | False | True | 'run_interval': `''` | + + +## Transformation options + +| Option | Storage | Editable | Optional | Config Syntax | +| -------| --------- | -------- | -------- | ------------- | +| run_interval | s3 | False | True | 'run_interval': `''` | +| start_from | s3 | False | True | 'start_from': `'/NOW/BEGINNING'` | +| end_at | s3 | True | True | 'end_at': `'/NOW'` | +| compute_cluster | s3 | True | True | 'compute_cluster': `''` | +| comment | s3 | True | True | 'comment': `''` | +| allow_cartesian_products | s3 | False | True | 'allow_cartesian_products': True/False | +| aggregation_parallelism | s3 | True | True | 'aggregation_parallelism': `` | +| run_parallelism | s3 | True | True | 'run_parallelism': `` | +| file_format | s3 | False | False | 'file_format': 'CSV/TSV ...' | +| compression | s3 | False | True | 'compression': 'SNAPPY/GZIP ...' | +| date_pattern | s3 | False | True | 'date_pattern': `''` | +| output_offset | s3 | False | True | 'output_offset': `''` | +| location | s3 | False | False | 'location': `''` | +| run_interval | elasticsearch | False | True | 'run_interval': `''` | +| start_from | elasticsearch | False | True | 'start_from': `'/NOW/BEGINNING'` | +| end_at | elasticsearch | True | True | 'end_at': `'/NOW'` | +| compute_cluster | elasticsearch | True | True | 'compute_cluster': `''` | +| allow_cartesian_products | elasticsearch | False | True | 'allow_cartesian_products': True/False | +| aggregation_parallelism | elasticsearch | True | True | 'aggregation_parallelism': `` | +| run_parallelism | elasticsearch | True | True | 'run_parallelism': `` | +| bulk_max_size_bytes | elasticsearch | True | True | 'bulk_max_size_bytes': `` | +| index_partition_size | elasticsearch | True | True | 'index_partition_size': 'HOURLY/DAILY ...' | +| comment | elasticsearch | True | True | 'comment': `''` | +| custom_insert_expressions | snowflake | True | True | 'custom_insert_expressions': {'INSERT_TIME' : 'CURRENT_TIMESTAMP()','MY_VALUE': `''`} | +| custom_update_expressions | snowflake | True | True | 'custom_update_expressions': {'UPDATE_TIME' : 'CURRENT_TIMESTAMP()','MY_VALUE': `''`} | +| keep_existing_values_when_null | snowflake | True | True | 'keep_existing_values_when_null': True/False | +| add_missing_columns | snowflake | False | True | 'add_missing_columns': True/False | +| run_interval | snowflake | False | True | 'run_interval': `''` | +| start_from | snowflake | False | True | 'start_from': `'/NOW/BEGINNING'` | +| end_at | snowflake | True | True | 'end_at': `'/NOW'` | +| compute_cluster | snowflake | True | True | 'compute_cluster': `''` | +| allow_cartesian_products | snowflake | False | True | 'allow_cartesian_products': True/False | +| aggregation_parallelism | snowflake | True | True | 'aggregation_parallelism': `` | +| run_parallelism | snowflake | True | True | 'run_parallelism': `` | +| comment | snowflake | True | True | 'comment': `''` | +| add_missing_columns | datalake | False | True | 'add_missing_columns': True/False | +| run_interval | datalake | False | True | 'run_interval': `''` | +| start_from | datalake | False | True | 'start_from': `'/NOW/BEGINNING'` | +| end_at | datalake | True | True | 'end_at': `'/NOW'` | +| compute_cluster | datalake | True | True | 'compute_cluster': `''` | +| allow_cartesian_products | datalake | False | True | 'allow_cartesian_products': True/False | +| aggregation_parallelism | datalake | True | True | 'aggregation_parallelism': `` | +| run_parallelism | datalake | True | True | 'run_parallelism': `` | +| comment | datalake | True | True | 'comment': `''` | +| run_interval | redshift | False | True | 'run_interval': `''` | +| start_from | redshift | False | True | 'start_from': `'/NOW/BEGINNING'` | +| end_at | redshift | True | True | 'end_at': `'/NOW'` | +| compute_cluster | redshift | True | True | 'compute_cluster': `''` | +| allow_cartesian_products | redshift | False | True | 'allow_cartesian_products': True/False | +| aggregation_parallelism | redshift | True | True | 'aggregation_parallelism': `` | +| run_parallelism | redshift | True | True | 'run_parallelism': `` | +| skip_failed_files | redshift | False | True | 'skip_failed_files': True/False | +| fail_on_write_error | redshift | False | True | 'fail_on_write_error': True/False | +| comment | redshift | True | True | 'comment': `''` | + + +## Copy options + +| Option | Storage | Category | Editable | Optional | Config Syntax | +| -------| ---------- | -------- | -------- | -------- | ------------- | +| topic | kafka | source_options | False | False | 'comment': `''` | +| exclude_columns | kafka | job_options | False | True | 'exclude_columns': (`''`, ...) | +| deduplicate_with | kafka | job_options | False | True | 'deduplicate_with': {'COLUMNS' : ['col1', 'col2'],'WINDOW': 'N HOURS'} | +| consumer_properties | kafka | job_options | True | True | 'comment': `''` | +| reader_shards | kafka | job_options | True | True | 'reader_shards': `` | +| store_raw_data | kafka | job_options | False | True | 'store_raw_data': True/False | +| start_from | kafka | job_options | False | True | 'start_from': 'BEGINNING/NOW' | +| end_at | kafka | job_options | True | True | 'end_at': `'/NOW'` | +| compute_cluster | kafka | job_options | True | True | 'compute_cluster': `''` | +| run_parallelism | kafka | job_options | True | True | 'run_parallelism': `` | +| content_type | kafka | job_options | True | True | 'content_type': 'AUTO/CSV/...' | +| compression | kafka | job_options | False | True | 'compression': 'AUTO/GZIP/...' | +| comment | kafka | job_options | True | True | 'comment': `''` | +| table_include_list | mysql | source_options | True | True | 'table_include_list': (`''`, ...) | +| column_exclude_list | mysql | source_options | True | True | 'column_exclude_list': (`''`, ...) | +| exclude_columns | mysql | job_options | False | True | 'exclude_columns': (`''`, ...) | +| column_transformations | mysql | job_options | False | True | 'column_transformations': {`''` : `''` , ...} | +| skip_snapshots | mysql | job_options | True | True | 'skip_snapshots': True/False | +| end_at | mysql | job_options | True | True | 'end_at': `'/NOW'` | +| compute_cluster | mysql | job_options | True | True | 'compute_cluster': `''` | +| comment | mysql | job_options | True | True | 'comment': `''` | +| table_include_list | postgres | source_options | False | False | 'table_include_list': (`''`, ...) | +| column_exclude_list | postgres | source_options | False | True | 'column_exclude_list': (`''`, ...) | +| heartbeat_table | postgres | job_options | False | True | 'heartbeat_table': `''` | +| skip_snapshots | postgres | job_options | False | True | 'skip_snapshots': True/False | +| publication_name | postgres | job_options | False | False | 'publication_name': `''` | +| end_at | postgres | job_options | True | True | 'end_at': `'/NOW'` | +| start_from | postgres | job_options | False | True | 'start_from': `'/NOW/BEGINNING'` | +| compute_cluster | postgres | job_options | True | True | 'compute_cluster': `''` | +| comment | postgres | job_options | True | True | 'comment': `''` | +| parse_json_columns | postgres | job_options | False | False | 'parse_json_columns': True/False | +| column_transformations | postgres | job_options | False | True | 'column_transformations': {`''` : `''` , ...} | +| exclude_columns | postgres | job_options | False | True | 'exclude_columns': (`''`, ...) | +| location | s3 | source_options | False | False | 'location': `''` | +| date_pattern | s3 | job_options | False | True | 'date_pattern': `''` | +| file_pattern | s3 | job_options | False | True | 'file_pattern': `''` | +| initial_load_pattern | s3 | job_options | False | True | 'initial_load_pattern': `''` | +| initial_load_prefix | s3 | job_options | False | True | 'initial_load_prefix': `''` | +| delete_files_after_load | s3 | job_options | False | True | 'delete_files_after_load': True/False | +| deduplicate_with | s3 | job_options | False | True | 'deduplicate_with': {'COLUMNS' : ['col1', 'col2'],'WINDOW': 'N HOURS'} | +| end_at | s3 | job_options | True | True | 'end_at': `'/NOW'` | +| start_from | s3 | job_options | False | True | 'start_from': `'/NOW/BEGINNING'` | +| compute_cluster | s3 | job_options | True | True | 'compute_cluster': `''` | +| run_parallelism | s3 | job_options | True | True | 'run_parallelism': `` | +| content_type | s3 | job_options | True | True | 'content_type': 'AUTO/CSV...' | +| compression | s3 | job_options | False | True | 'compression': 'AUTO/GZIP...' | +| comment | s3 | job_options | True | True | 'comment': `''` | +| column_transformations | s3 | job_options | False | True | 'column_transformations': {`''` : `''` , ...} | +| exclude_columns | s3 | job_options | False | True | 'exclude_columns': (`''`, ...) | +| stream | kinesis | source_options | False | False | 'stream': `''` | +| reader_shards | kinesis | job_optionas | True | True | 'reader_shards': `` | +| store_raw_data | kinesis | job_options | False | True | 'store_raw_data': True/False | +| start_from | kinesis | job_options | False | True | 'start_from': `'/NOW/BEGINNING'` | +| end_at | kinesis | job_options | False | True | 'end_at': `'/NOW'` | +| compute_cluster | kinesis | job_options | True | True | 'compute_cluster': `''` | +| run_parallelism | kinesis | job_options | False | True | 'run_parallelism': `` | +| content_type | kinesis | job_options | True | True | 'content_type': 'AUTO/CSV...' | +| compression | kinesis | job_options | False | True | 'compression': 'AUTO/GZIP...' | +| comment | kinesis | job_options | True | True | 'comment': `''` | +| column_transformations | kinesis | job_options | True | True | 'column_transformations': {`''` : `''` , ...} | +| deduplicate_with | kinesis | job_options | False | True | 'deduplicate_with': {'COLUMNS' : ['col1', 'col2'],'WINDOW': 'N HOURS'} | +| exclude_columns | kinesis | job_options | False | True | 'exclude_columns': (`''`, ...) | diff --git a/website/sidebars.js b/website/sidebars.js index e358c8474ce..f29031fd010 100644 --- a/website/sidebars.js +++ b/website/sidebars.js @@ -207,6 +207,7 @@ const sidebarSettings = { "docs/core/connect-data-platform/databend-setup", "docs/core/connect-data-platform/fal-setup", "docs/core/connect-data-platform/decodable-setup", + "docs/core/connect-data-platform/upsolver-setup", ], }, ], @@ -582,6 +583,7 @@ const sidebarSettings = { "reference/resource-configs/doris-configs", "reference/resource-configs/fal-configs", "reference/resource-configs/oracle-configs", + "reference/resource-configs/upsolver-configs", ], }, { diff --git a/website/static/_redirects b/website/static/_redirects index 27e30e83c9e..2429e057273 100644 --- a/website/static/_redirects +++ b/website/static/_redirects @@ -75,6 +75,7 @@ /reference/warehouse-setups/databend-setup /docs/core/connect-data-platform/databend-setup 301 /reference/warehouse-setups/fal-setup /docs/core/connect-data-platform/fal-setup 301 /reference/warehouse-setups/decodable-setup /docs/core/connect-data-platform/decodable-setup +/reference/warehouse-setups/upsolver-setup /docs/core/connect-data-platform/upsolver-setup 301 # Discovery redirect /docs/dbt-cloud-apis/metadata-schema-source /docs/dbt-cloud-apis/discovery-schema-source 301 diff --git a/website/static/img/icons/upsolver.svg b/website/static/img/icons/upsolver.svg new file mode 100644 index 00000000000..556c4bb92a1 --- /dev/null +++ b/website/static/img/icons/upsolver.svg @@ -0,0 +1,18 @@ + + + + + + + + + + + + + + Layer 1 + + + + \ No newline at end of file diff --git a/website/static/img/icons/white/upsolver.svg b/website/static/img/icons/white/upsolver.svg new file mode 100644 index 00000000000..556c4bb92a1 --- /dev/null +++ b/website/static/img/icons/white/upsolver.svg @@ -0,0 +1,18 @@ + + + + + + + + + + + + + + Layer 1 + + + + \ No newline at end of file From 4eeee4afa070bb42973176f23c435b9709fa94fb Mon Sep 17 00:00:00 2001 From: Boris Sorochkin Date: Wed, 2 Aug 2023 11:59:20 +0200 Subject: [PATCH 035/486] Update formating of complex fields --- .../resource-configs/upsolver-configs.md | 40 +++++++++---------- 1 file changed, 20 insertions(+), 20 deletions(-) diff --git a/website/docs/reference/resource-configs/upsolver-configs.md b/website/docs/reference/resource-configs/upsolver-configs.md index f8e7b8f4d2d..666714e7a57 100644 --- a/website/docs/reference/resource-configs/upsolver-configs.md +++ b/website/docs/reference/resource-configs/upsolver-configs.md @@ -290,8 +290,8 @@ models: | Option | Storage | Editable | Optional | Config Syntax | | -------| --------- | -------- | -------- | ------------- | | run_interval | s3 | False | True | 'run_interval': `''` | -| start_from | s3 | False | True | 'start_from': `'/NOW/BEGINNING'` | -| end_at | s3 | True | True | 'end_at': `'/NOW'` | +| start_from | s3 | False | True | 'start_from': `''` | +| end_at | s3 | True | True | 'end_at': `''` | | compute_cluster | s3 | True | True | 'compute_cluster': `''` | | comment | s3 | True | True | 'comment': `''` | | allow_cartesian_products | s3 | False | True | 'allow_cartesian_products': True/False | @@ -303,8 +303,8 @@ models: | output_offset | s3 | False | True | 'output_offset': `''` | | location | s3 | False | False | 'location': `''` | | run_interval | elasticsearch | False | True | 'run_interval': `''` | -| start_from | elasticsearch | False | True | 'start_from': `'/NOW/BEGINNING'` | -| end_at | elasticsearch | True | True | 'end_at': `'/NOW'` | +| start_from | elasticsearch | False | True | 'start_from': `''` | +| end_at | elasticsearch | True | True | 'end_at': `''` | | compute_cluster | elasticsearch | True | True | 'compute_cluster': `''` | | allow_cartesian_products | elasticsearch | False | True | 'allow_cartesian_products': True/False | | aggregation_parallelism | elasticsearch | True | True | 'aggregation_parallelism': `` | @@ -317,8 +317,8 @@ models: | keep_existing_values_when_null | snowflake | True | True | 'keep_existing_values_when_null': True/False | | add_missing_columns | snowflake | False | True | 'add_missing_columns': True/False | | run_interval | snowflake | False | True | 'run_interval': `''` | -| start_from | snowflake | False | True | 'start_from': `'/NOW/BEGINNING'` | -| end_at | snowflake | True | True | 'end_at': `'/NOW'` | +| start_from | snowflake | False | True | 'start_from': `''` | +| end_at | snowflake | True | True | 'end_at': `''` | | compute_cluster | snowflake | True | True | 'compute_cluster': `''` | | allow_cartesian_products | snowflake | False | True | 'allow_cartesian_products': True/False | | aggregation_parallelism | snowflake | True | True | 'aggregation_parallelism': `` | @@ -326,16 +326,16 @@ models: | comment | snowflake | True | True | 'comment': `''` | | add_missing_columns | datalake | False | True | 'add_missing_columns': True/False | | run_interval | datalake | False | True | 'run_interval': `''` | -| start_from | datalake | False | True | 'start_from': `'/NOW/BEGINNING'` | -| end_at | datalake | True | True | 'end_at': `'/NOW'` | +| start_from | datalake | False | True | 'start_from': `''` | +| end_at | datalake | True | True | 'end_at': `'' | | compute_cluster | datalake | True | True | 'compute_cluster': `''` | | allow_cartesian_products | datalake | False | True | 'allow_cartesian_products': True/False | | aggregation_parallelism | datalake | True | True | 'aggregation_parallelism': `` | | run_parallelism | datalake | True | True | 'run_parallelism': `` | | comment | datalake | True | True | 'comment': `''` | | run_interval | redshift | False | True | 'run_interval': `''` | -| start_from | redshift | False | True | 'start_from': `'/NOW/BEGINNING'` | -| end_at | redshift | True | True | 'end_at': `'/NOW'` | +| start_from | redshift | False | True | 'start_from': `''` | +| end_at | redshift | True | True | 'end_at': `'` | | compute_cluster | redshift | True | True | 'compute_cluster': `''` | | allow_cartesian_products | redshift | False | True | 'allow_cartesian_products': True/False | | aggregation_parallelism | redshift | True | True | 'aggregation_parallelism': `` | @@ -356,7 +356,7 @@ models: | reader_shards | kafka | job_options | True | True | 'reader_shards': `` | | store_raw_data | kafka | job_options | False | True | 'store_raw_data': True/False | | start_from | kafka | job_options | False | True | 'start_from': 'BEGINNING/NOW' | -| end_at | kafka | job_options | True | True | 'end_at': `'/NOW'` | +| end_at | kafka | job_options | True | True | 'end_at': `''` | | compute_cluster | kafka | job_options | True | True | 'compute_cluster': `''` | | run_parallelism | kafka | job_options | True | True | 'run_parallelism': `` | | content_type | kafka | job_options | True | True | 'content_type': 'AUTO/CSV/...' | @@ -367,7 +367,7 @@ models: | exclude_columns | mysql | job_options | False | True | 'exclude_columns': (`''`, ...) | | column_transformations | mysql | job_options | False | True | 'column_transformations': {`''` : `''` , ...} | | skip_snapshots | mysql | job_options | True | True | 'skip_snapshots': True/False | -| end_at | mysql | job_options | True | True | 'end_at': `'/NOW'` | +| end_at | mysql | job_options | True | True | 'end_at': `''` | | compute_cluster | mysql | job_options | True | True | 'compute_cluster': `''` | | comment | mysql | job_options | True | True | 'comment': `''` | | table_include_list | postgres | source_options | False | False | 'table_include_list': (`''`, ...) | @@ -375,8 +375,8 @@ models: | heartbeat_table | postgres | job_options | False | True | 'heartbeat_table': `''` | | skip_snapshots | postgres | job_options | False | True | 'skip_snapshots': True/False | | publication_name | postgres | job_options | False | False | 'publication_name': `''` | -| end_at | postgres | job_options | True | True | 'end_at': `'/NOW'` | -| start_from | postgres | job_options | False | True | 'start_from': `'/NOW/BEGINNING'` | +| end_at | postgres | job_options | True | True | 'end_at': `''` | +| start_from | postgres | job_options | False | True | 'start_from': `''` | | compute_cluster | postgres | job_options | True | True | 'compute_cluster': `''` | | comment | postgres | job_options | True | True | 'comment': `''` | | parse_json_columns | postgres | job_options | False | False | 'parse_json_columns': True/False | @@ -389,20 +389,20 @@ models: | initial_load_prefix | s3 | job_options | False | True | 'initial_load_prefix': `''` | | delete_files_after_load | s3 | job_options | False | True | 'delete_files_after_load': True/False | | deduplicate_with | s3 | job_options | False | True | 'deduplicate_with': {'COLUMNS' : ['col1', 'col2'],'WINDOW': 'N HOURS'} | -| end_at | s3 | job_options | True | True | 'end_at': `'/NOW'` | -| start_from | s3 | job_options | False | True | 'start_from': `'/NOW/BEGINNING'` | +| end_at | s3 | job_options | True | True | 'end_at': `''` | +| start_from | s3 | job_options | False | True | 'start_from': `''` | | compute_cluster | s3 | job_options | True | True | 'compute_cluster': `''` | -| run_parallelism | s3 | job_options | True | True | 'run_parallelism': `` | +| run_parallelism | s3 | job_options | True | True | 'run_parallelism': | | content_type | s3 | job_options | True | True | 'content_type': 'AUTO/CSV...' | | compression | s3 | job_options | False | True | 'compression': 'AUTO/GZIP...' | | comment | s3 | job_options | True | True | 'comment': `''` | | column_transformations | s3 | job_options | False | True | 'column_transformations': {`''` : `''` , ...} | | exclude_columns | s3 | job_options | False | True | 'exclude_columns': (`''`, ...) | | stream | kinesis | source_options | False | False | 'stream': `''` | -| reader_shards | kinesis | job_optionas | True | True | 'reader_shards': `` | +| reader_shards | kinesis | job_options | True | True | 'reader_shards': `` | | store_raw_data | kinesis | job_options | False | True | 'store_raw_data': True/False | -| start_from | kinesis | job_options | False | True | 'start_from': `'/NOW/BEGINNING'` | -| end_at | kinesis | job_options | False | True | 'end_at': `'/NOW'` | +| start_from | kinesis | job_options | False | True | 'start_from': `''` | +| end_at | kinesis | job_options | False | True | 'end_at': `''` | | compute_cluster | kinesis | job_options | True | True | 'compute_cluster': `''` | | run_parallelism | kinesis | job_options | False | True | 'run_parallelism': `` | | content_type | kinesis | job_options | True | True | 'content_type': 'AUTO/CSV...' | From ef0abb3ce5b14c512a042874e117ae747891e8ac Mon Sep 17 00:00:00 2001 From: Boris Sorochkin Date: Wed, 2 Aug 2023 12:28:16 +0200 Subject: [PATCH 036/486] Fix formatind --- .../resource-configs/upsolver-configs.md | 40 +++++++++---------- 1 file changed, 20 insertions(+), 20 deletions(-) diff --git a/website/docs/reference/resource-configs/upsolver-configs.md b/website/docs/reference/resource-configs/upsolver-configs.md index 666714e7a57..fec5b639eca 100644 --- a/website/docs/reference/resource-configs/upsolver-configs.md +++ b/website/docs/reference/resource-configs/upsolver-configs.md @@ -231,19 +231,19 @@ models: | aws_secret_access_key | kinesis | True | True | 'aws_secret_access_key': `''` | | region | kinesis | False | False | 'region': `''` | | read_only | kinesis | False | True | 'read_only': True/False | -| max_writers | kinesis | True | True | 'max_writers': `` | +| max_writers | kinesis | True | True | 'max_writers': `''` | | stream_display_filter | kinesis | True | True | 'stream_display_filter': `''` | | stream_display_filters | kinesis | True | True | 'stream_display_filters': (`''`, ...) | | comment | kinesis | True | True | 'comment': `''` | | connection_string | snowflake | True | False | 'connection_string': `''` | | user_name | snowflake | True | False | 'user_name': `''` | | password | snowflake | True | False | 'password': `''` | -| max_concurrent_connections | snowflake | True | True | 'max_concurrent_connections': `` | +| max_concurrent_connections | snowflake | True | True | 'max_concurrent_connections': `''` | | comment | snowflake | True | True | 'comment': `''` | | connection_string | redshift | True | False | 'connection_string': `''` | | user_name | redshift | True | False | 'user_name': `''` | | password | redshift | True | False | 'password': `''` | -| max_concurrent_connections | redshift | True | True | 'max_concurrent_connections': `` | +| max_concurrent_connections | redshift | True | True | 'max_concurrent_connections': `''` | | comment | redshift | True | True | 'comment': `''` | | connection_string | mysql | True | False | 'connection_string': `''` | | user_name | mysql | True | False | 'user_name': `''` | @@ -268,7 +268,7 @@ models: | storage_location | datalake | False | True | 'storage_location': `''` | | compute_cluster | datalake | True | True | 'compute_cluster': `''` | | compression | datalake | True | True | 'compression': 'SNAPPY/GZIP' | -| compaction_processes | datalake | True | True | 'compaction_processes': `` | +| compaction_processes | datalake | True | True | 'compaction_processes': `''` | | disable_compaction | datalake | True | True | 'disable_compaction': True/False | | retention_date_partition | datalake | False | True | 'retention_date_partition': `''` | | table_data_retention | datalake | True | True | 'table_data_retention': `''` | @@ -295,8 +295,8 @@ models: | compute_cluster | s3 | True | True | 'compute_cluster': `''` | | comment | s3 | True | True | 'comment': `''` | | allow_cartesian_products | s3 | False | True | 'allow_cartesian_products': True/False | -| aggregation_parallelism | s3 | True | True | 'aggregation_parallelism': `` | -| run_parallelism | s3 | True | True | 'run_parallelism': `` | +| aggregation_parallelism | s3 | True | True | 'aggregation_parallelism': `''` | +| run_parallelism | s3 | True | True | 'run_parallelism': `''` | | file_format | s3 | False | False | 'file_format': 'CSV/TSV ...' | | compression | s3 | False | True | 'compression': 'SNAPPY/GZIP ...' | | date_pattern | s3 | False | True | 'date_pattern': `''` | @@ -307,9 +307,9 @@ models: | end_at | elasticsearch | True | True | 'end_at': `''` | | compute_cluster | elasticsearch | True | True | 'compute_cluster': `''` | | allow_cartesian_products | elasticsearch | False | True | 'allow_cartesian_products': True/False | -| aggregation_parallelism | elasticsearch | True | True | 'aggregation_parallelism': `` | -| run_parallelism | elasticsearch | True | True | 'run_parallelism': `` | -| bulk_max_size_bytes | elasticsearch | True | True | 'bulk_max_size_bytes': `` | +| aggregation_parallelism | elasticsearch | True | True | 'aggregation_parallelism': `''` | +| run_parallelism | elasticsearch | True | True | 'run_parallelism': `''` | +| bulk_max_size_bytes | elasticsearch | True | True | 'bulk_max_size_bytes': `''` | | index_partition_size | elasticsearch | True | True | 'index_partition_size': 'HOURLY/DAILY ...' | | comment | elasticsearch | True | True | 'comment': `''` | | custom_insert_expressions | snowflake | True | True | 'custom_insert_expressions': {'INSERT_TIME' : 'CURRENT_TIMESTAMP()','MY_VALUE': `''`} | @@ -321,8 +321,8 @@ models: | end_at | snowflake | True | True | 'end_at': `''` | | compute_cluster | snowflake | True | True | 'compute_cluster': `''` | | allow_cartesian_products | snowflake | False | True | 'allow_cartesian_products': True/False | -| aggregation_parallelism | snowflake | True | True | 'aggregation_parallelism': `` | -| run_parallelism | snowflake | True | True | 'run_parallelism': `` | +| aggregation_parallelism | snowflake | True | True | 'aggregation_parallelism': `''` | +| run_parallelism | snowflake | True | True | 'run_parallelism': `''` | | comment | snowflake | True | True | 'comment': `''` | | add_missing_columns | datalake | False | True | 'add_missing_columns': True/False | | run_interval | datalake | False | True | 'run_interval': `''` | @@ -330,16 +330,16 @@ models: | end_at | datalake | True | True | 'end_at': `'' | | compute_cluster | datalake | True | True | 'compute_cluster': `''` | | allow_cartesian_products | datalake | False | True | 'allow_cartesian_products': True/False | -| aggregation_parallelism | datalake | True | True | 'aggregation_parallelism': `` | -| run_parallelism | datalake | True | True | 'run_parallelism': `` | +| aggregation_parallelism | datalake | True | True | 'aggregation_parallelism': `''` | +| run_parallelism | datalake | True | True | 'run_parallelism': `''` | | comment | datalake | True | True | 'comment': `''` | | run_interval | redshift | False | True | 'run_interval': `''` | | start_from | redshift | False | True | 'start_from': `''` | | end_at | redshift | True | True | 'end_at': `'` | | compute_cluster | redshift | True | True | 'compute_cluster': `''` | | allow_cartesian_products | redshift | False | True | 'allow_cartesian_products': True/False | -| aggregation_parallelism | redshift | True | True | 'aggregation_parallelism': `` | -| run_parallelism | redshift | True | True | 'run_parallelism': `` | +| aggregation_parallelism | redshift | True | True | 'aggregation_parallelism': `''` | +| run_parallelism | redshift | True | True | 'run_parallelism': `''` | | skip_failed_files | redshift | False | True | 'skip_failed_files': True/False | | fail_on_write_error | redshift | False | True | 'fail_on_write_error': True/False | | comment | redshift | True | True | 'comment': `''` | @@ -353,12 +353,12 @@ models: | exclude_columns | kafka | job_options | False | True | 'exclude_columns': (`''`, ...) | | deduplicate_with | kafka | job_options | False | True | 'deduplicate_with': {'COLUMNS' : ['col1', 'col2'],'WINDOW': 'N HOURS'} | | consumer_properties | kafka | job_options | True | True | 'comment': `''` | -| reader_shards | kafka | job_options | True | True | 'reader_shards': `` | +| reader_shards | kafka | job_options | True | True | 'reader_shards': `''` | | store_raw_data | kafka | job_options | False | True | 'store_raw_data': True/False | | start_from | kafka | job_options | False | True | 'start_from': 'BEGINNING/NOW' | | end_at | kafka | job_options | True | True | 'end_at': `''` | | compute_cluster | kafka | job_options | True | True | 'compute_cluster': `''` | -| run_parallelism | kafka | job_options | True | True | 'run_parallelism': `` | +| run_parallelism | kafka | job_options | True | True | 'run_parallelism': `''` | | content_type | kafka | job_options | True | True | 'content_type': 'AUTO/CSV/...' | | compression | kafka | job_options | False | True | 'compression': 'AUTO/GZIP/...' | | comment | kafka | job_options | True | True | 'comment': `''` | @@ -392,19 +392,19 @@ models: | end_at | s3 | job_options | True | True | 'end_at': `''` | | start_from | s3 | job_options | False | True | 'start_from': `''` | | compute_cluster | s3 | job_options | True | True | 'compute_cluster': `''` | -| run_parallelism | s3 | job_options | True | True | 'run_parallelism': | +| run_parallelism | s3 | job_options | True | True | 'run_parallelism': `''` | | content_type | s3 | job_options | True | True | 'content_type': 'AUTO/CSV...' | | compression | s3 | job_options | False | True | 'compression': 'AUTO/GZIP...' | | comment | s3 | job_options | True | True | 'comment': `''` | | column_transformations | s3 | job_options | False | True | 'column_transformations': {`''` : `''` , ...} | | exclude_columns | s3 | job_options | False | True | 'exclude_columns': (`''`, ...) | | stream | kinesis | source_options | False | False | 'stream': `''` | -| reader_shards | kinesis | job_options | True | True | 'reader_shards': `` | +| reader_shards | kinesis | job_options | True | True | 'reader_shards': `''` | | store_raw_data | kinesis | job_options | False | True | 'store_raw_data': True/False | | start_from | kinesis | job_options | False | True | 'start_from': `''` | | end_at | kinesis | job_options | False | True | 'end_at': `''` | | compute_cluster | kinesis | job_options | True | True | 'compute_cluster': `''` | -| run_parallelism | kinesis | job_options | False | True | 'run_parallelism': `` | +| run_parallelism | kinesis | job_options | False | True | 'run_parallelism': `''` | | content_type | kinesis | job_options | True | True | 'content_type': 'AUTO/CSV...' | | compression | kinesis | job_options | False | True | 'compression': 'AUTO/GZIP...' | | comment | kinesis | job_options | True | True | 'comment': `''` | From 2605bbc7cce8ac5daf71d90792313f69e3240dc9 Mon Sep 17 00:00:00 2001 From: Andrew Russell Date: Mon, 7 Aug 2023 07:56:40 -0500 Subject: [PATCH 037/486] Correct the definition of monotonically increasing The current definition of monotonically increasing refers to a linearly increasing function, not a monotonically increasing one. See the definition here: https://en.wikipedia.org/wiki/Monotonic_function --- website/docs/terms/monotonically-increasing.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/website/docs/terms/monotonically-increasing.md b/website/docs/terms/monotonically-increasing.md index 397e333942a..bf7e141a2cc 100644 --- a/website/docs/terms/monotonically-increasing.md +++ b/website/docs/terms/monotonically-increasing.md @@ -1,11 +1,11 @@ --- id: monotonically-increasing title: Monotonically increasing -description: Monotonicity means unchanging (think monotone). A monotonically-increasing value is a value which increases at a constant rate, for example the values 1, 2, 3, 4. +description: Monotonicity means unchanging (think monotone). A monotonically-increasing sequence is a sequence whose values do not decrease, for example the sequences 1, 6, 7, 11, 131 or 2, 5, 5, 5, 6, 10. displayText: monotonically increasing -hoverSnippet: Monotonicity means unchanging (think monotone). A monotonically-increasing value is a value which increases at a constant rate, for example the values 1, 2, 3, 4. +hoverSnippet: Monotonicity means unchanging (think monotone). A monotonically-increasing sequence is a sequence whose values do not decrease, for example the sequences 1, 6, 7, 11, 131 or 2, 5, 5, 5, 6, 10. --- -Monotonicity means unchanging (think monotone). A monotonically-increasing value is a value which increases at a constant rate, for example the values `[1, 2, 3, 4]`. +Monotonicity means unchanging (think monotone). A monotonically-increasing sequence is a sequence whose values do not decrease, for example the sequences [1, 6, 7, 11, 131] or [2, 5, 5, 5, 6, 10]. -Monotonically-increasing values often appear in primary keys generated by production systems. In an analytics engineering context, you should avoid generating such values or assuming their existence in your models, because they make it more difficult to create an data model. Instead you should create a which is derived from the unique component(s) of a row. \ No newline at end of file +Monotonically-increasing values often appear in primary keys generated by production systems. In an analytics engineering context, you should avoid generating such values or assuming their existence in your models, because they make it more difficult to create an data model. Instead you should create a which is derived from the unique component(s) of a row. From cb8967f337a992d7345fe8dd7838f7316db56df7 Mon Sep 17 00:00:00 2001 From: Andrew Russell Date: Mon, 7 Aug 2023 08:00:37 -0500 Subject: [PATCH 038/486] Update monotonically-increasing.md --- website/docs/terms/monotonically-increasing.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/terms/monotonically-increasing.md b/website/docs/terms/monotonically-increasing.md index bf7e141a2cc..0bc8db4b431 100644 --- a/website/docs/terms/monotonically-increasing.md +++ b/website/docs/terms/monotonically-increasing.md @@ -6,6 +6,6 @@ displayText: monotonically increasing hoverSnippet: Monotonicity means unchanging (think monotone). A monotonically-increasing sequence is a sequence whose values do not decrease, for example the sequences 1, 6, 7, 11, 131 or 2, 5, 5, 5, 6, 10. --- -Monotonicity means unchanging (think monotone). A monotonically-increasing sequence is a sequence whose values do not decrease, for example the sequences [1, 6, 7, 11, 131] or [2, 5, 5, 5, 6, 10]. +Monotonicity means unchanging (think monotone). A monotonically-increasing sequence is a sequence whose values do not decrease, for example the sequences `[1, 6, 7, 11, 131]` or `[2, 5, 5, 5, 6, 10]`. Monotonically-increasing values often appear in primary keys generated by production systems. In an analytics engineering context, you should avoid generating such values or assuming their existence in your models, because they make it more difficult to create an data model. Instead you should create a which is derived from the unique component(s) of a row. From 7a1fa190a1ebc82cd987d043a96640416d583ff7 Mon Sep 17 00:00:00 2001 From: Andrew Russell Date: Tue, 8 Aug 2023 07:25:32 -0500 Subject: [PATCH 039/486] Update monotonically-increasing.md --- website/docs/terms/monotonically-increasing.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/website/docs/terms/monotonically-increasing.md b/website/docs/terms/monotonically-increasing.md index 0bc8db4b431..6d1264237ab 100644 --- a/website/docs/terms/monotonically-increasing.md +++ b/website/docs/terms/monotonically-increasing.md @@ -1,11 +1,11 @@ --- id: monotonically-increasing title: Monotonically increasing -description: Monotonicity means unchanging (think monotone). A monotonically-increasing sequence is a sequence whose values do not decrease, for example the sequences 1, 6, 7, 11, 131 or 2, 5, 5, 5, 6, 10. +description: A monotonically-increasing sequence is a sequence whose values do not decrease, for example the sequences 1, 6, 7, 11, 131 or 2, 5, 5, 5, 6, 10. displayText: monotonically increasing -hoverSnippet: Monotonicity means unchanging (think monotone). A monotonically-increasing sequence is a sequence whose values do not decrease, for example the sequences 1, 6, 7, 11, 131 or 2, 5, 5, 5, 6, 10. +hoverSnippet: A monotonically-increasing sequence is a sequence whose values do not decrease, for example the sequences 1, 6, 7, 11, 131 or 2, 5, 5, 5, 6, 10. --- -Monotonicity means unchanging (think monotone). A monotonically-increasing sequence is a sequence whose values do not decrease, for example the sequences `[1, 6, 7, 11, 131]` or `[2, 5, 5, 5, 6, 10]`. +Monotonicity means unchanging (think monotone); a monotonic sequence is a sequence where the order of the value of the elements does not change. In other words, a monotonically-increasing sequence is a sequence whose values do not decrease. For example the sequences `[1, 6, 7, 11, 131]` or `[2, 5, 5, 5, 6, 10]`. Monotonically-increasing values often appear in primary keys generated by production systems. In an analytics engineering context, you should avoid generating such values or assuming their existence in your models, because they make it more difficult to create an data model. Instead you should create a which is derived from the unique component(s) of a row. From 0a203cac2fff91f9cfd1fad659c79ba68a5c7ec8 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Thu, 10 Aug 2023 15:42:35 -0400 Subject: [PATCH 040/486] Deprecate v1.0 from docs --- contributing/single-sourcing-content.md | 2 +- website/dbt-versions.js | 4 -- website/docs/docs/build/incremental-models.md | 6 --- .../building-models/python-models.md | 2 +- .../connect-data-platform/bigquery-setup.md | 50 ------------------- .../core/connect-data-platform/spark-setup.md | 4 -- .../faqs/Core/install-python-compatibility.md | 6 --- website/docs/guides/legacy/best-practices.md | 6 --- .../docs/reference/node-selection/methods.md | 5 -- .../docs/reference/node-selection/syntax.md | 11 ---- .../resource-configs/persist_docs.md | 2 +- .../reference/resource-properties/config.md | 6 --- website/docs/reference/source-configs.md | 8 --- 13 files changed, 3 insertions(+), 109 deletions(-) diff --git a/contributing/single-sourcing-content.md b/contributing/single-sourcing-content.md index ca27372e5bc..fe64ce6521a 100644 --- a/contributing/single-sourcing-content.md +++ b/contributing/single-sourcing-content.md @@ -90,7 +90,7 @@ This component can be added directly to a markdown file in a similar way as othe Both properties can be used together to set a range where the content should show. In the example below, this content will only show if the selected version is between **0.21** and **1.0**: ```markdown - + Versioned content here diff --git a/website/dbt-versions.js b/website/dbt-versions.js index a59822101e9..655d4f02b7b 100644 --- a/website/dbt-versions.js +++ b/website/dbt-versions.js @@ -23,10 +23,6 @@ exports.versions = [ version: "1.1", EOLDate: "2023-04-28", }, - { - version: "1.0", - EOLDate: "2022-12-03" - }, ] exports.versionedPages = [ diff --git a/website/docs/docs/build/incremental-models.md b/website/docs/docs/build/incremental-models.md index 89115652a9c..d3c3f25890b 100644 --- a/website/docs/docs/build/incremental-models.md +++ b/website/docs/docs/build/incremental-models.md @@ -79,12 +79,6 @@ A `unique_key` enables updating existing rows instead of just appending new rows Not specifying a `unique_key` will result in append-only behavior, which means dbt inserts all rows returned by the model's SQL into the preexisting target table without regard for whether the rows represent duplicates. - - -The optional `unique_key` parameter specifies a field that can uniquely identify each row within your model. You can define `unique_key` in a configuration block at the top of your model. If your model doesn't contain a single field that is unique, but rather a combination of columns, we recommend that you create a single column that can serve as a unique identifier (by concatenating and hashing those columns), and pass it into your model's configuration. - - - The optional `unique_key` parameter specifies a field (or combination of fields) that define the grain of your model. That is, the field(s) identify a single unique row. You can define `unique_key` in a configuration block at the top of your model, and it can be a single column name or a list of column names. diff --git a/website/docs/docs/building-a-dbt-project/building-models/python-models.md b/website/docs/docs/building-a-dbt-project/building-models/python-models.md index 1aab8ac7a92..9c1127bb9f2 100644 --- a/website/docs/docs/building-a-dbt-project/building-models/python-models.md +++ b/website/docs/docs/building-a-dbt-project/building-models/python-models.md @@ -19,7 +19,7 @@ Below, you'll see sections entitled "❓ **Our questions**." We are excited to h dbt Python ("dbt-py") models will help you solve use cases that can't be solved with SQL. You can perform analyses using tools available in the open source Python ecosystem, including state-of-the-art packages for data science and statistics. Before, you would have needed separate infrastructure and orchestration to run Python transformations in production. By defining your Python transformations in dbt, they're just models in your project, with all the same capabilities around testing, documentation, and lineage. - + Python models are supported in dbt Core 1.3 and above. Learn more about [upgrading your version in dbt Cloud](https://docs.getdbt.com/docs/dbt-cloud/cloud-configuring-dbt-cloud/cloud-upgrading-dbt-versions) and [upgrading dbt Core versions](https://docs.getdbt.com/docs/core-versions#upgrading-to-new-patch-versions). diff --git a/website/docs/docs/core/connect-data-platform/bigquery-setup.md b/website/docs/docs/core/connect-data-platform/bigquery-setup.md index b0fc9fa7cf0..a34a4a0def2 100644 --- a/website/docs/docs/core/connect-data-platform/bigquery-setup.md +++ b/website/docs/docs/core/connect-data-platform/bigquery-setup.md @@ -317,56 +317,6 @@ my-profile: - - -BigQuery supports query timeouts. By default, the timeout is set to 300 seconds. If a dbt model takes longer than this timeout to complete, then BigQuery may cancel the query and issue the following error: - -``` - Operation did not complete within the designated timeout. -``` - -To change this timeout, use the `timeout_seconds` configuration: - - - -```yaml -my-profile: - target: dev - outputs: - dev: - type: bigquery - method: oauth - project: abc-123 - dataset: my_dataset - timeout_seconds: 600 # 10 minutes -``` - - - -The `retries` profile configuration designates the number of times dbt should retry queries that result in unhandled server errors. This configuration is only specified for BigQuery targets. Example: - - - -```yaml -# This example target will retry BigQuery queries 5 -# times with a delay. If the query does not succeed -# after the fifth attempt, then dbt will raise an error - -my-profile: - target: dev - outputs: - dev: - type: bigquery - method: oauth - project: abc-123 - dataset: my_dataset - retries: 5 -``` - - - - - ### Dataset locations The location of BigQuery datasets can be configured using the `location` configuration in a BigQuery profile. diff --git a/website/docs/docs/core/connect-data-platform/spark-setup.md b/website/docs/docs/core/connect-data-platform/spark-setup.md index 2e3b5a66de8..c3886f37e9e 100644 --- a/website/docs/docs/core/connect-data-platform/spark-setup.md +++ b/website/docs/docs/core/connect-data-platform/spark-setup.md @@ -207,8 +207,6 @@ your_profile_name: - - ## Optional configurations ### Retries @@ -227,8 +225,6 @@ connect_retries: 3 - - ## Caveats ### Usage with EMR diff --git a/website/docs/faqs/Core/install-python-compatibility.md b/website/docs/faqs/Core/install-python-compatibility.md index d24466f4990..4d6066d931b 100644 --- a/website/docs/faqs/Core/install-python-compatibility.md +++ b/website/docs/faqs/Core/install-python-compatibility.md @@ -23,12 +23,6 @@ The latest version of `dbt-core` is compatible with Python versions 3.7, 3.8, 3. - - -As of v1.0, `dbt-core` is compatible with Python versions 3.7, 3.8, and 3.9. - - - Adapter plugins and their dependencies are not always compatible with the latest version of Python. For example, dbt-snowflake v0.19 is not compatible with Python 3.9, but dbt-snowflake versions 0.20+ are. New dbt minor versions will add support for new Python3 minor versions as soon as all dependencies can support it. In turn, dbt minor versions will drop support for old Python3 minor versions right before they reach [end of life](https://endoflife.date/python). diff --git a/website/docs/guides/legacy/best-practices.md b/website/docs/guides/legacy/best-practices.md index 018d48ba181..10e02271518 100644 --- a/website/docs/guides/legacy/best-practices.md +++ b/website/docs/guides/legacy/best-practices.md @@ -159,12 +159,6 @@ dbt test --select result:fail --exclude --defer --state path/to/p > Note: If you're using the `--state target/` flag, `result:error` and `result:fail` flags can only be selected concurrently(in the same command) if using the `dbt build` command. `dbt test` will overwrite the `run_results.json` from `dbt run` in a previous command invocation. - - -Only supported by v1.1 or newer. - - - Only supported by v1.1 or newer. diff --git a/website/docs/reference/node-selection/methods.md b/website/docs/reference/node-selection/methods.md index ff86d60c06a..ca66b00044f 100644 --- a/website/docs/reference/node-selection/methods.md +++ b/website/docs/reference/node-selection/methods.md @@ -252,11 +252,6 @@ $ dbt seed --select result:error --state path/to/artifacts # run all seeds that ``` ### The "source_status" method - - -Supported in v1.1 or newer. - - diff --git a/website/docs/reference/node-selection/syntax.md b/website/docs/reference/node-selection/syntax.md index 1a43a32e2bc..a60d23cd16f 100644 --- a/website/docs/reference/node-selection/syntax.md +++ b/website/docs/reference/node-selection/syntax.md @@ -174,12 +174,6 @@ $ dbt run --select result:+ state:modified+ --defer --state ./ - -Only supported by v1.1 or newer. - - - Only supported by v1.1 or newer. @@ -199,11 +193,6 @@ dbt build --select source_status:fresher+ For more example commands, refer to [Pro-tips for workflows](/guides/legacy/best-practices.md#pro-tips-for-workflows). ### The "source_status" status - - -Only supported by v1.1 or newer. - - diff --git a/website/docs/reference/resource-configs/persist_docs.md b/website/docs/reference/resource-configs/persist_docs.md index 6facf3945cb..7134972d2ca 100644 --- a/website/docs/reference/resource-configs/persist_docs.md +++ b/website/docs/reference/resource-configs/persist_docs.md @@ -151,7 +151,7 @@ Some known issues and limitations: - + - Column names that must be quoted, such as column names containing special characters, will cause runtime errors if column-level `persist_docs` is enabled. This is fixed in v1.2. diff --git a/website/docs/reference/resource-properties/config.md b/website/docs/reference/resource-properties/config.md index 32143c1da07..1d3a2de6592 100644 --- a/website/docs/reference/resource-properties/config.md +++ b/website/docs/reference/resource-properties/config.md @@ -108,12 +108,6 @@ version: 2 - - -We have added support for the `config` property on sources in dbt Core v1.1 - - - diff --git a/website/docs/reference/source-configs.md b/website/docs/reference/source-configs.md index ef428f5934c..49390c299c8 100644 --- a/website/docs/reference/source-configs.md +++ b/website/docs/reference/source-configs.md @@ -71,14 +71,6 @@ Sources can be configured via a `config:` block within their `.yml` definitions, - - -Sources can be configured from the `dbt_project.yml` file under the `sources:` key. This configuration is most useful for configuring sources imported from [a package](package-management). You can disable sources imported from a package to prevent them from rendering in the documentation, or to prevent [source freshness checks](/docs/build/sources#snapshotting-source-data-freshness) from running on source tables imported from packages. - -Unlike other resource types, sources do not yet support a `config` property. It is not possible to (re)define source configs hierarchically across multiple YAML files. - - - ### Examples #### Disable all sources imported from a package To apply a configuration to all sources included from a [package](/docs/build/packages), From 78c2bc90cad28db8371ee2755dc79ab077bdaae3 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Fri, 11 Aug 2023 11:42:48 -0400 Subject: [PATCH 041/486] Updates to billing FAQs --- website/docs/docs/cloud/billing.md | 2 +- website/docs/faqs/Accounts/cloud-upgrade-instructions.md | 6 +++--- website/docs/faqs/Accounts/payment-accepted.md | 2 +- 3 files changed, 5 insertions(+), 5 deletions(-) diff --git a/website/docs/docs/cloud/billing.md b/website/docs/docs/cloud/billing.md index 76b37560be3..105586c4250 100644 --- a/website/docs/docs/cloud/billing.md +++ b/website/docs/docs/cloud/billing.md @@ -15,7 +15,7 @@ As a customer, you pay for the number of seats you have and the amount of usage dbt Cloud considers a Successful Model Built as any model that is successfully built via a run through dbt Cloud’s orchestration functionality in a dbt Cloud deployment environment. Models are counted when built and run. This includes any jobs run via dbt Cloud's scheduler, CI builds (jobs triggered by pull requests), runs kicked off via the dbt Cloud API, and any successor dbt Cloud tools with similar functionality. This also includes models that are successfully built even when a run may fail to complete. For example, you may have a job that contains 100 models and on one of its runs, 51 models are successfully built and then the job fails. In this situation, only 51 models would be counted. -Any models built in a dbt Cloud development environment (for example, via the IDE) do not count towards your usage. Tests, seeds, and snapshots also do not count. +Any models built in a dbt Cloud development environment (for example, via the IDE) do not count towards your usage. Tests, seeds, ephemeral models, and snapshots also do not count. ### What counts as a seat license? diff --git a/website/docs/faqs/Accounts/cloud-upgrade-instructions.md b/website/docs/faqs/Accounts/cloud-upgrade-instructions.md index 76d03870478..c958d86b1d3 100644 --- a/website/docs/faqs/Accounts/cloud-upgrade-instructions.md +++ b/website/docs/faqs/Accounts/cloud-upgrade-instructions.md @@ -38,7 +38,7 @@ To unlock your account and select a plan, review the following guidance per plan 2. To unlock your account and continue using the Team plan, you need to enter your payment details. 3. Go to **Payment Information** and click **Edit** on the right. 4. Enter your payment details and click **Save**. -5. This automatically unlocks your dbt Cloud account, and you can now enjoy the benefits of the Team plan. 🎉 +5. This automatically unlocks your dbt Cloud account, and you can now enjoy the benefits of the Team plan. 🎉 @@ -59,7 +59,7 @@ For commonly asked billings questions, refer to the dbt Cloud [pricing page](htt
How does billing work?
-
Team plans are billed monthly on the credit card used to sign up, based on developer seat count. You’ll also be sent a monthly receipt to the billing email of your choice. You can change any billing information in your Account Settings -> Billing page.



+
Team plans are billed monthly on the credit card used to sign up, based on [developer seat count and usage](/docs/cloud/billing). You’ll also be sent a monthly receipt to the billing email of your choice. You can change any billing information in your Account Settings -> Billing page.



Enterprise plan customers are billed annually based on the number of developer seats, as well as any additional services + features in your chosen plan.
@@ -75,7 +75,7 @@ For commonly asked billings questions, refer to the dbt Cloud [pricing page](htt
Can I pay by invoice?
-
At present, dbt Cloud Team plan payments must be made via credit card, and by default they will be billed monthly based on the number of developer seats.



+
At present, dbt Cloud Team plan payments must be made via credit card, and by default they will be billed monthly based on the number of [developer seats and usage](/docs/cloud/billing).



We don’t have any plans to do invoicing for Team plan accounts in the near future, but we do currently support invoices for companies on the dbt Cloud Enterprise plan. Feel free to contact us to build your Enterprise pricing plan.
diff --git a/website/docs/faqs/Accounts/payment-accepted.md b/website/docs/faqs/Accounts/payment-accepted.md index 2e26063c684..1ddbdbd9e10 100644 --- a/website/docs/faqs/Accounts/payment-accepted.md +++ b/website/docs/faqs/Accounts/payment-accepted.md @@ -5,6 +5,6 @@ sidebar_label: 'Can I pay invoice' id: payment-accepted --- -Presently for Team plans, self-service dbt Cloud payments must be made via credit card and by default, they will be billed monthly based on the number of active developer seats. +Presently for Team plans, self-service dbt Cloud payments must be made via credit card and by default, they will be billed monthly based on the number of [active developer seats and usage](/docs/cloud/billing). We don't have any plans to do invoicing for self-service teams in the near future, but we *do* currently support invoices for companies on the **dbt Cloud Enterprise plan.** Feel free to [contact us](https://www.getdbt.com/contact) to build your Enterprise pricing. From 5a0ccae04756dba771bbc2883ca78e64f0541cc4 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Fri, 11 Aug 2023 12:03:09 -0400 Subject: [PATCH 042/486] Apply suggestions from code review Co-authored-by: Ly Nguyen <107218380+nghi-ly@users.noreply.github.com> --- website/docs/faqs/Accounts/cloud-upgrade-instructions.md | 2 +- website/docs/faqs/Accounts/payment-accepted.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/website/docs/faqs/Accounts/cloud-upgrade-instructions.md b/website/docs/faqs/Accounts/cloud-upgrade-instructions.md index c958d86b1d3..08e4f4c5334 100644 --- a/website/docs/faqs/Accounts/cloud-upgrade-instructions.md +++ b/website/docs/faqs/Accounts/cloud-upgrade-instructions.md @@ -75,7 +75,7 @@ For commonly asked billings questions, refer to the dbt Cloud [pricing page](htt
Can I pay by invoice?
-
At present, dbt Cloud Team plan payments must be made via credit card, and by default they will be billed monthly based on the number of [developer seats and usage](/docs/cloud/billing).



+
Currently, dbt Cloud Team plan payments must be made with a credit card, and by default they will be billed monthly based on the number of [developer seats and usage](/docs/cloud/billing).



We don’t have any plans to do invoicing for Team plan accounts in the near future, but we do currently support invoices for companies on the dbt Cloud Enterprise plan. Feel free to contact us to build your Enterprise pricing plan.
diff --git a/website/docs/faqs/Accounts/payment-accepted.md b/website/docs/faqs/Accounts/payment-accepted.md index 1ddbdbd9e10..c0e949833a2 100644 --- a/website/docs/faqs/Accounts/payment-accepted.md +++ b/website/docs/faqs/Accounts/payment-accepted.md @@ -5,6 +5,6 @@ sidebar_label: 'Can I pay invoice' id: payment-accepted --- -Presently for Team plans, self-service dbt Cloud payments must be made via credit card and by default, they will be billed monthly based on the number of [active developer seats and usage](/docs/cloud/billing). +Currently for Team plans, self-service dbt Cloud payments must be made with a credit card and by default, they will be billed monthly based on the number of [active developer seats and usage](/docs/cloud/billing). We don't have any plans to do invoicing for self-service teams in the near future, but we *do* currently support invoices for companies on the **dbt Cloud Enterprise plan.** Feel free to [contact us](https://www.getdbt.com/contact) to build your Enterprise pricing. From f3c2cec302a6bf726537ab461f54ed743d2b6abd Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Fri, 11 Aug 2023 12:03:20 -0400 Subject: [PATCH 043/486] Update website/docs/faqs/Accounts/cloud-upgrade-instructions.md Co-authored-by: Ly Nguyen <107218380+nghi-ly@users.noreply.github.com> --- website/docs/faqs/Accounts/cloud-upgrade-instructions.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/faqs/Accounts/cloud-upgrade-instructions.md b/website/docs/faqs/Accounts/cloud-upgrade-instructions.md index 08e4f4c5334..f8daf393f9b 100644 --- a/website/docs/faqs/Accounts/cloud-upgrade-instructions.md +++ b/website/docs/faqs/Accounts/cloud-upgrade-instructions.md @@ -59,7 +59,7 @@ For commonly asked billings questions, refer to the dbt Cloud [pricing page](htt
How does billing work?
-
Team plans are billed monthly on the credit card used to sign up, based on [developer seat count and usage](/docs/cloud/billing). You’ll also be sent a monthly receipt to the billing email of your choice. You can change any billing information in your Account Settings -> Billing page.



+
Team plans are billed monthly on the credit card used to sign up, based on [developer seat count and usage](/docs/cloud/billing). You’ll also be sent a monthly receipt to the billing email of your choice. You can change any billing information in your Account Settings > Billing page.



Enterprise plan customers are billed annually based on the number of developer seats, as well as any additional services + features in your chosen plan.
From 2f8399251b2911f82c8df34964ca003c9fd8b7c0 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Fri, 11 Aug 2023 15:26:50 -0400 Subject: [PATCH 044/486] Adding breaking changes FAQ --- .../docs/docs/collaborate/govern/model-contracts.md | 11 +++++++++++ 1 file changed, 11 insertions(+) diff --git a/website/docs/docs/collaborate/govern/model-contracts.md b/website/docs/docs/collaborate/govern/model-contracts.md index 339098adbdc..0da2cb19e37 100644 --- a/website/docs/docs/collaborate/govern/model-contracts.md +++ b/website/docs/docs/collaborate/govern/model-contracts.md @@ -112,3 +112,14 @@ In some cases, you can replace a test with its equivalent constraint. This has t Currently, dbt contracts apply to **all** columns defined in a model, and they require declaring explicit expectations about **all** of those columns. The explicit declaration of a contract is not an accident—it's very much the intent of this feature. We are investigating the feasibility of supporting "inferred" or "partial" contracts in the future. This would enable you to define constraints and strict data typing for a subset of columns, while still detecting breaking changes on other columns by comparing against the same model in production. If you're interested, please upvote or comment on [dbt-core#7432](https://github.com/dbt-labs/dbt-core/issues/7432). + +### How are breaking changes handled? + +When comparing to a previous project state, dbt will look for breaking changes that could impact downstream consumers. If breaking changes are detected, dbt will present a contract error. + +Breaking changes include: +- Removing an existing column +- Changing the `data_type` of an existing column +- Removing or modifying one of the `constraints` on an existing column (dbt v1.6 or higher) + +More details are available in the [contract reference](/reference/resource-configs/contract#detecting-breaking-changes). \ No newline at end of file From b314ad79bf53cb7014e67a95168fbebd248ba87d Mon Sep 17 00:00:00 2001 From: Mike Alfare Date: Tue, 15 Aug 2023 19:47:44 -0400 Subject: [PATCH 045/486] add materialized view to the list of built-in materializations --- website/docs/docs/build/materializations.md | 35 ++++++++++++++++++- .../faqs/Models/available-materializations.md | 3 +- 2 files changed, 36 insertions(+), 2 deletions(-) diff --git a/website/docs/docs/build/materializations.md b/website/docs/docs/build/materializations.md index 70c7878bd69..2bbac236bc5 100644 --- a/website/docs/docs/build/materializations.md +++ b/website/docs/docs/build/materializations.md @@ -5,12 +5,13 @@ id: "materializations" --- ## Overview -Materializations are strategies for persisting dbt models in a warehouse. There are four types of materializations built into dbt. They are: +Materializations are strategies for persisting dbt models in a warehouse. There are five types of materializations built into dbt. They are: - - - incremental - ephemeral +- materialized view ## Configuring materializations @@ -103,6 +104,38 @@ When using the `table` materialization, your model is rebuilt as a materializations: `view`, `table`, `incremental` and `ephemeral`. Check out the documentation on [materializations](/docs/build/materializations) for more information on each of these options. +dbt ships with five materializations: `view`, `table`, `incremental`, `ephemeral` and `materialized_view`. +Check out the documentation on [materializations](/docs/build/materializations) for more information on each of these options. You can also create your own [custom materializations](/guides/advanced/creating-new-materializations), if required however this is an advanced feature of dbt. From e76fe49f65ec4bfdf4f9fd93570ca1e212af93c5 Mon Sep 17 00:00:00 2001 From: Mike Alfare Date: Tue, 15 Aug 2023 20:06:22 -0400 Subject: [PATCH 046/486] add materialization lifecycle to materialized views --- website/docs/docs/build/materializations.md | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/website/docs/docs/build/materializations.md b/website/docs/docs/build/materializations.md index 2bbac236bc5..09d8fe41efb 100644 --- a/website/docs/docs/build/materializations.md +++ b/website/docs/docs/build/materializations.md @@ -120,6 +120,13 @@ The `on_configuration_change` config has three settings: - *Note:* this could result in downstream failures as those models may depend on these unimplemented changes - `fail` — force the entire run to fail if a change is detected +Materialized views are implemented following this "drop through" life cycle: +1. If an object does not exist, create a materialized view +2. If an object exists, other than a materialized view, that object is dropped and replaced with a materialized view +3. If `--full-refresh` is supplied, replace the materialized view regardless of changes and the `on_configuration_change` setting +4. If there are no configuration changes, refresh the materialized view +5. At this point there are configuration changes, proceed according to the `on_configuration_change` setting + Materialized views are a combination of a view and a table, and serve use cases similar to incremental models. * **Pros:** From 41ae27c22dec595616fd4af43ad99fbd8f396718 Mon Sep 17 00:00:00 2001 From: Mike Alfare Date: Tue, 15 Aug 2023 20:26:30 -0400 Subject: [PATCH 047/486] update postgres config to reference centralized docs for materialized views, add monitored configuration changes section --- .../resource-configs/postgres-configs.md | 61 +++++++------------ 1 file changed, 22 insertions(+), 39 deletions(-) diff --git a/website/docs/reference/resource-configs/postgres-configs.md b/website/docs/reference/resource-configs/postgres-configs.md index b2d1f644e90..1cfd1641d16 100644 --- a/website/docs/reference/resource-configs/postgres-configs.md +++ b/website/docs/reference/resource-configs/postgres-configs.md @@ -60,7 +60,7 @@ While Postgres works reasonably well for datasets smaller than about 10m rows, d -Table models, incremental models, seeds, and snapshots may have a list of `indexes` defined. Each Postgres index can have three components: +Table models, incremental models, seeds, snapshots, and materialized views may have a list of `indexes` defined. Each Postgres index can have three components: - `columns` (list, required): one or more columns on which the index is defined - `unique` (boolean, optional): whether the index should be [declared unique](https://www.postgresql.org/docs/9.4/indexes-unique.html) - `type` (string, optional): a supported [index type](https://www.postgresql.org/docs/current/indexes-types.html) (B-tree, Hash, GIN, etc) @@ -113,64 +113,47 @@ models: -## Materialized view +## Materialized views -The Postgres adapter supports [materialized views](https://www.postgresql.org/docs/current/rules-materializedviews.html) and refreshes them for every subsequent `dbt run` you execute. For more information, see [Refresh Materialized Views](https://www.postgresql.org/docs/15/sql-refreshmaterializedview.html) in the Postgres docs. - -Materialized views support the optional configuration `on_configuration_change` with the following values: -- `apply` (default) — attempts to update the existing database object if possible, avoiding a complete rebuild. The following index action can be applied without the need to rebuild the materialized view: - - Added - - Dropped - - Updated -- `skip` — allows runs to continue while also providing a warning that the model was skipped -- `fail` — forces runs to fail if a change is detected in a materialized view - -You can create a materialized view by editing _one_ of these files: -- the SQL file for your model -- the `dbt_project.yml` configuration file - -The following examples create a materialized view: + - + - **v1.6.0:** Introduced support for `materialized_view` -```sql -{{ - config( - materialized = 'materialized_view', - on_configuration_change = 'apply', - ) -}} -``` + - +The Postgres adapter supports [materialized views](https://www.postgresql.org/docs/current/rules-materializedviews.html). +Indexes are the only configuration that is specific to `dbt-postgres`. +The remaining configuration follows the general [materialized view](/docs/build/materializations#Materialized-View) configuration. +There are also some limitations that we hope to address in the next version. +### Monitored Configuration Changes - +#### Indexes -```yaml -models: - path: - materialized: materialized_view -``` - +Index changes (`CREATE`, `DROP`) can be applied without the need to rebuild the materialized view. +This differs from a table model, where the table needs to be dropped and re-created to update the indexes. +If the `indexes` portion of the `config` block is updated, the changes will be detected and applied +directly to the materialized view in place. ### Limitations -Below are current limitations that we hope to address in a future release. #### Changing materialization to and from "materialized_view" -Swapping an already materialized model to a materialized view and vice versa. The workaround is manually dropping the existing materialization in the data warehouse before calling `dbt run` again. Normally, re-running with the `--full-refresh` flag would resolve this, but not in this case. +Swapping an already materialized model to a materialized view, and vice versa, is not supported. +The workaround is to manually drop the existing materialization in the data warehouse prior to calling `dbt run`. +Normally, re-running with the `--full-refresh` flag would resolve this, but not in this case. +This would only need to be done once as the existing object would then be a materialized view. -For example, assume the model below, `my_model`, has already been materialized to the underlying data platform via `dbt run`. If a user changes the model's config to `materialized="materialized_view"`, they will get an error. The solution is to execute `DROP TABLE my_model` on the data warehouse before trying the model again. +For example, assume the model below, `my_model`, has already been materialized to the underlying data platform via `dbt run`. +If a user changes the model's config to `materialized="materialized_view"`, they will get an error. +The solution is to execute `DROP TABLE my_model` on the data warehouse before trying the model again. ```yaml - {{ config( materialized="table" # or any model type eg view, incremental ) }} - ``` From 0b54bf75be1250d139aa375ffc0ab2a20d0b53cc Mon Sep 17 00:00:00 2001 From: Mike Alfare Date: Tue, 15 Aug 2023 20:28:54 -0400 Subject: [PATCH 048/486] added pycharm settings to gitignore, removed duplicated vscode entry from gitignore --- .gitignore | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/.gitignore b/.gitignore index b2746893814..1f24fd3f1fc 100755 --- a/.gitignore +++ b/.gitignore @@ -11,10 +11,11 @@ website/yarn.lock website/node_modules website/i18n/* -# Local vs code +# IDE configs .vscode +.idea + # Local Netlify folder .netlify -.vscode .eslintcache From d7db10f9a157e044e1823c8d62720aea90cde5a3 Mon Sep 17 00:00:00 2001 From: Mike Alfare Date: Tue, 15 Aug 2023 21:11:59 -0400 Subject: [PATCH 049/486] update postgres-specific configs for materialized views --- .../resource-configs/postgres-configs.md | 18 +++++------------- 1 file changed, 5 insertions(+), 13 deletions(-) diff --git a/website/docs/reference/resource-configs/postgres-configs.md b/website/docs/reference/resource-configs/postgres-configs.md index 1cfd1641d16..0553630b8c4 100644 --- a/website/docs/reference/resource-configs/postgres-configs.md +++ b/website/docs/reference/resource-configs/postgres-configs.md @@ -113,7 +113,7 @@ models: -## Materialized views +## Materialized Views @@ -128,6 +128,8 @@ There are also some limitations that we hope to address in the next version. ### Monitored Configuration Changes +The settings below are monitored for changes applicable to `on_configuration_change`. + #### Indexes Index changes (`CREATE`, `DROP`) can be applied without the need to rebuild the materialized view. @@ -144,18 +146,8 @@ The workaround is to manually drop the existing materialization in the data ware Normally, re-running with the `--full-refresh` flag would resolve this, but not in this case. This would only need to be done once as the existing object would then be a materialized view. -For example, assume the model below, `my_model`, has already been materialized to the underlying data platform via `dbt run`. -If a user changes the model's config to `materialized="materialized_view"`, they will get an error. +For example, assume a table, `my_model`, has already been materialized to the underlying data platform via `dbt run`. +If the user changes the model's config to `materialized="materialized_view"`, they will get an error. The solution is to execute `DROP TABLE my_model` on the data warehouse before trying the model again. - - -```yaml -{{ config( - materialized="table" # or any model type eg view, incremental -) }} -``` - - - From 590333b92cb840dcdc68b01faee8ccb4ed682580 Mon Sep 17 00:00:00 2001 From: Mike Alfare Date: Tue, 15 Aug 2023 21:12:05 -0400 Subject: [PATCH 050/486] update redshift-specific configs for materialized views --- .../resource-configs/redshift-configs.md | 69 ++++++++++--------- 1 file changed, 36 insertions(+), 33 deletions(-) diff --git a/website/docs/reference/resource-configs/redshift-configs.md b/website/docs/reference/resource-configs/redshift-configs.md index 1cf4f193cd2..1e51ff32a42 100644 --- a/website/docs/reference/resource-configs/redshift-configs.md +++ b/website/docs/reference/resource-configs/redshift-configs.md @@ -104,54 +104,57 @@ models: -## Materialized view +## Materialized Views -The Redshift adapter supports [materialized views](https://docs.aws.amazon.com/redshift/latest/dg/materialized-view-overview.html) and refreshes them for every subsequent `dbt run` that you execute. For more information, see [Refresh Materialized Views](https://docs.aws.amazon.com/redshift/latest/dg/materialized-view-refresh.html) in the Redshift docs. + -Materialized views support the optional configuration `on_configuration_change` with the following values: -- `apply` (default) — attempts to update the existing database object if possible, avoiding a complete rebuild. -- `continue` — allows runs to continue while also providing a warning that the model was not executed -- `fail` — forces runs to fail if a change is detected in a materialized view + - **v1.6.0:** Introduced support for `materialized_view` -Additionally, you can apply the `auto_refresh` configuration to have Redshift [automatically refresh](https://docs.aws.amazon.com/redshift/latest/dg/materialized-view-refresh.html) the materialized view for you. This action can applied without the need to rebuild the materialized view. + -You can create a materialized view by editing _one_ of these files: -- the SQL file for your model -- the `dbt_project.yml` configuration file +The Redshift adapter supports [materialized views](https://docs.aws.amazon.com/redshift/latest/dg/materialized-view-overview.html). +Redshift-specific configuration includes the typical `dist`, `sort_type`, `sort`, and `backup`. +For materialized views, there is also the `auto_refresh` setting, which allows Redshift to [automatically refresh](https://docs.aws.amazon.com/redshift/latest/dg/materialized-view-refresh.html) the materialized view for you. +The remaining configuration follows the general [materialized view](/docs/build/materializations#Materialized-View) configuration. +There are also some limitations that we hope to address in the next version. -The following examples create a materialized view: +### Monitored Configuration Changes - +The settings below are monitored for changes applicable to `on_configuration_change`. -```sql -{{ - config( - materialized = 'materialized_view', - auto_refresh = False, - on_configuration_change = 'apply', - ) -}} -``` +#### Dist - +Changes to `dist` will result in a full refresh. Redshift requires a materialized view to be +dropped and recreated to apply a change to the `distkey` or `diststyle`. +#### Sort Type, Sort - +Changes to `sort_type` or `sort` will result in a full refresh. Redshift requires a materialized +view to be dropped and recreated to apply a change to the `sortkey` or `sortstyle`. -```yaml -models: - path: - materialized: materialized_view -``` - +#### Backup + +Changes to `backup` will result in a full refresh. Redshift requires a materialized +view to be dropped and recreated to apply a change to the `backup` setting. + +#### Auto Refresh + +The `auto_refresh` setting can be updated via an `ALTER` statement. This setting effectively toggles +automatic refreshes on or off. The default setting for this config is off (`False`). If this +is the only configuration change for the materialized view, dbt will choose to apply +an `ALTER` statement instead of issuing a full refresh, ### Limitations -We hope to address the following limitations in a future release. -#### Changing materialization from "materialized_view" to table or view +#### Changing materialization from "materialized_view" to "table" or "view" -Swapping a materialized view to a table or view is not supported. You must manually drop the existing materialized view in the data warehouse before calling `dbt run` again. +Swapping a materialized view to a table or view is not supported. +You must manually drop the existing materialized view in the data warehouse prior to calling `dbt run`. +Normally, re-running with the `--full-refresh` flag would resolve this, but not in this case. +This would only need to be done once as the existing object would then be a materialized view. -For example, assume that a view, `my_mv.sql`, has already been materialized to the underlying data platform via `dbt run`. If a user then changes the model's config to be `materialized="table"`, they will get an error. The workaround is to execute `DROP MATERIALIZE VIEW my_mv CASCADE` on the data warehouse before trying the model again. +For example, assume that a materialized view, `my_mv.sql`, has already been materialized to the underlying data platform via `dbt run`. +If the user changes the model's config to `materialized="table"`, they will get an error. +The workaround is to execute `DROP MATERIALIZED VIEW my_mv CASCADE` on the data warehouse before trying the model again. From a9c02372889a65b6786f9e9b634f98d8792cf0ce Mon Sep 17 00:00:00 2001 From: Mike Alfare Date: Tue, 15 Aug 2023 21:12:17 -0400 Subject: [PATCH 051/486] update snowflake configs for dynamic tables --- .../resource-configs/snowflake-configs.md | 50 +++++++++++++++---- 1 file changed, 39 insertions(+), 11 deletions(-) diff --git a/website/docs/reference/resource-configs/snowflake-configs.md b/website/docs/reference/resource-configs/snowflake-configs.md index f822773ee41..daf534b5f45 100644 --- a/website/docs/reference/resource-configs/snowflake-configs.md +++ b/website/docs/reference/resource-configs/snowflake-configs.md @@ -346,16 +346,30 @@ In the configuration format for the model SQL file: ## Dynamic Tables -### Parameters + + + - **v1.6.0:** Introduced support for `dynamic_table` + + -dbt-snowflake requires the following parameters: +The Snowflake adapter supports [dynamic tables](https://docs.snowflake.com/en/sql-reference/sql/create-dynamic-table). +This materialization is specific to Snowflake, which means that any model configuration that +would normally come along for the ride from `dbt-core` (e.g. as with a `view`) may not be available +for dynamic tables. This gap will decrease in future patches and versions. +While this materialization is specific to Snowflake, it very much follows the implementation +of [materialized views](/docs/build/materializations#Materialized-View). +In particular, dynamic tables have access to the `on_configuration_change` setting. +There are also some limitations that we hope to address in the next version. + +### Parameters +Dynamic tables in `dbt-snowflake` require the following parameters: - `target_lag` - `snowflake_warehouse` - `on_configuration_change` To learn more about each parameter and what values it can take, see -the Snowflake docs page: [`CREATE DYNAMIC TABLE: Parameters`](https://docs.snowflake.com/en/sql-reference/sql/create-dynamic-table). Note that `downstream` for `target_lag` is not supported. +the Snowflake docs page: [`CREATE DYNAMIC TABLE: Parameters`](https://docs.snowflake.com/en/sql-reference/sql/create-dynamic-table). ### Usage @@ -369,13 +383,11 @@ The following examples create a dynamic table: ```sql -{{ - config( +{{ config( materialized = 'dynamic_table', snowflake_warehouse = 'snowflake_warehouse', target_lag = '10 minutes', - ) -}} +) }} ``` @@ -392,13 +404,31 @@ models: +### Monitored Configuration Changes + +The settings below are monitored for changes applicable to `on_configuration_change`. + +#### Target Lag + +Changes to `target_lag` can be applied via an `ALTER` statement. Refreshing is essentially +always on for dynamic tables; this setting changes how frequently the dynamic table is updated. + +#### Warehouse + +Changes to `snowflake_warehouse` can be applied via an `ALTER` statement. + ### Limitations #### Changing materialization to and from "dynamic_table" -Swapping an already materialized model to be a dynamic table and vice versa. The workaround is manually dropping the existing materialization in the data warehouse before calling `dbt run` again. +Swapping an already materialized model to be a dynamic table and vice versa. +The workaround is manually dropping the existing materialization in the data warehouse prior to calling `dbt run`. +Normally, re-running with the `--full-refresh` flag would resolve this, but not in this case. +This would only need to be done once as the existing object would then be a dynamic table. -For example, assume for the example model below, `my_model`, has already been materialized to the underlying data platform via `dbt run`. If a user then changes the model's config to be `materialized="dynamic_table"`, they will get an error. The workaround is to execute `DROP TABLE my_model` on the data warehouse before trying the model again. +For example, assume for the example model below, `my_model`, has already been materialized to the underlying data platform via `dbt run`. +If the user changes the model's config to `materialized="dynamic_table"`, they will get an error. +The workaround is to execute `DROP TABLE my_model` on the data warehouse before trying the model again. @@ -412,6 +442,4 @@ For example, assume for the example model below, `my_model`, has already been ma - - From 9c15171b70445f03d28f6de510ef09a7959679ff Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Wed, 16 Aug 2023 12:29:26 -0400 Subject: [PATCH 052/486] update --- website/docs/docs/cloud/dbt-cloud-ide/develop-in-the-cloud.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/dbt-cloud-ide/develop-in-the-cloud.md b/website/docs/docs/cloud/dbt-cloud-ide/develop-in-the-cloud.md index b9622acbeaf..529ca30697f 100644 --- a/website/docs/docs/cloud/dbt-cloud-ide/develop-in-the-cloud.md +++ b/website/docs/docs/cloud/dbt-cloud-ide/develop-in-the-cloud.md @@ -54,7 +54,7 @@ To stay informed on IDE updates, read [dbt Cloud IDE release notes](/tags/ide), | **File state indicators** | Ability to see when changes or actions have been made to the file. The indicators **M, D, A,** and **•** appear to the right of your file or folder name and indicate the actions performed:

- Unsaved **(•)** — The IDE detects unsaved changes to your file/folder
- Modification **(M)** — The IDE detects a modification of existing files/folders
- Added **(A)** — The IDE detects added files
- Deleted **(D)** — The IDE detects deleted files. | **IDE version control** | The IDE version control section and git button allow you to apply the concept of [version control](/docs/collaborate/git/version-control-basics) to your project directly into the IDE.

- Create or change branches
- Commit or revert individual files by right-clicking the edited file
- [Resolve merge conflicts](/docs/collaborate/git/merge-conflicts)
- Execute git commands using the git button
- Link to the repo directly by clicking the branch name | | **Project documentation** | Generate and view your [project documentation](/docs/collaborate/build-and-view-your-docs) for your dbt project in real-time. You can inspect and verify what your project's documentation will look like before you deploy your changes to production. | -| **Preview and Compile button** | You can run your code against your data platform by clicking the [**Preview**](/docs/cloud/dbt-cloud-ide/ide-user-interface#console-section). Use the [**Compile**](/docs/cloud/dbt-cloud-ide/ide-user-interface#console-section) button in the IDE to generate executable SQL, which occurs locally within dbt. | +| **Preview and Compile button** | You can run your code or selected code against your data platform by clicking the [**Preview**](/docs/cloud/dbt-cloud-ide/ide-user-interface#console-section). Use the [**Compile**](/docs/cloud/dbt-cloud-ide/ide-user-interface#console-section) button in the IDE to generate executable SQL, which occurs locally within dbt. | | **Build, test, and run button** | Build, test, and run your project with a button click or by using the Cloud IDE command bar. | **Command bar** | You can enter and run commands from the command bar at the bottom of the IDE. Use the [rich model selection syntax](/reference/node-selection/syntax) to execute [dbt commands](/reference/dbt-commands) directly within dbt Cloud. You can also view the history, status, and logs of previous runs by clicking History on the left of the bar. | **Drag and drop** | Drag and drop files located in the file explorer, and use the file breadcrumb on the top of the IDE for quick, linear navigation. Access adjacent files in the same file by right-clicking on the breadcrumb file. From 0c41373f0f6e3d7170f8f4dc270b2fcd9c533a8e Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Thu, 17 Aug 2023 11:37:04 -0400 Subject: [PATCH 053/486] adding 1.6 changes to preview/compile --- website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md b/website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md index 0723df1b5ad..3bf517788cb 100644 --- a/website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md +++ b/website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md @@ -83,7 +83,7 @@ The IDE features some delightful tools and layouts to make it easier for you to The console section, located below the File editor, includes various console tabs and buttons to help you with tasks such as previewing, compiling, building, and viewing the . Refer to the following sub-bullets for more details on the console tabs and buttons. -1. **Preview button —** When you click on the Preview button, it runs the SQL in the active file editor regardless of whether you have saved it or not and sends the results to the Results console tab. +1. **Preview button —** When you click on the Preview button, it runs the SQL in the active file editor regardless of whether you have saved it or not and sends the results to the **Results** console tab. Starting from dbt v1.6 or higher, you can preview a selected portion of saved or unsaved code by highlighting it before clicking the **Preview** button.
Row limits in IDE @@ -95,7 +95,7 @@ The dbt Cloud IDE returns default row limits, however, you can also specify the
-2. **Compile button —** The Compile button compiles the SQL code from the active File Editor, irrespective of its save status, and outputs it to the Compiled Code tab. +2. **Compile button —** The **Compile** button compiles the saved or unsaved SQL code from the active file editor, and outputs it to the **Compiled Code** tab. Starting from dbt v1.6 or higher, you can compile a selected portion of saved or unsaved code by highlighting it before clicking the **Compile** button. 3. **Build button —** The build button allows users to quickly access dbt commands related to the active model in the File Editor. The available commands include dbt build, dbt test, and dbt run, with options to include only the current resource, the resource and its upstream dependencies, the resource, and its downstream dependencies, or the resource with all dependencies. This menu is available for all executable nodes. From 27f3c96696b84a479c41194c2ae95e1e4e3f2374 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 17 Aug 2023 11:40:13 -0400 Subject: [PATCH 054/486] Update website/docs/docs/cloud/dbt-cloud-ide/develop-in-the-cloud.md --- website/docs/docs/cloud/dbt-cloud-ide/develop-in-the-cloud.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/dbt-cloud-ide/develop-in-the-cloud.md b/website/docs/docs/cloud/dbt-cloud-ide/develop-in-the-cloud.md index 529ca30697f..51c1ade1f01 100644 --- a/website/docs/docs/cloud/dbt-cloud-ide/develop-in-the-cloud.md +++ b/website/docs/docs/cloud/dbt-cloud-ide/develop-in-the-cloud.md @@ -54,7 +54,7 @@ To stay informed on IDE updates, read [dbt Cloud IDE release notes](/tags/ide), | **File state indicators** | Ability to see when changes or actions have been made to the file. The indicators **M, D, A,** and **•** appear to the right of your file or folder name and indicate the actions performed:

- Unsaved **(•)** — The IDE detects unsaved changes to your file/folder
- Modification **(M)** — The IDE detects a modification of existing files/folders
- Added **(A)** — The IDE detects added files
- Deleted **(D)** — The IDE detects deleted files. | **IDE version control** | The IDE version control section and git button allow you to apply the concept of [version control](/docs/collaborate/git/version-control-basics) to your project directly into the IDE.

- Create or change branches
- Commit or revert individual files by right-clicking the edited file
- [Resolve merge conflicts](/docs/collaborate/git/merge-conflicts)
- Execute git commands using the git button
- Link to the repo directly by clicking the branch name | | **Project documentation** | Generate and view your [project documentation](/docs/collaborate/build-and-view-your-docs) for your dbt project in real-time. You can inspect and verify what your project's documentation will look like before you deploy your changes to production. | -| **Preview and Compile button** | You can run your code or selected code against your data platform by clicking the [**Preview**](/docs/cloud/dbt-cloud-ide/ide-user-interface#console-section). Use the [**Compile**](/docs/cloud/dbt-cloud-ide/ide-user-interface#console-section) button in the IDE to generate executable SQL, which occurs locally within dbt. | +| **Preview and Compile button** | You can run your code or selected code against your data platform by clicking the [**Preview**](/docs/cloud/dbt-cloud-ide/ide-user-interface#console-section) button.
Use the [**Compile**](/docs/cloud/dbt-cloud-ide/ide-user-interface#console-section) button in the IDE to generate executable SQL, which occurs locally within dbt. | | **Build, test, and run button** | Build, test, and run your project with a button click or by using the Cloud IDE command bar. | **Command bar** | You can enter and run commands from the command bar at the bottom of the IDE. Use the [rich model selection syntax](/reference/node-selection/syntax) to execute [dbt commands](/reference/dbt-commands) directly within dbt Cloud. You can also view the history, status, and logs of previous runs by clicking History on the left of the bar. | **Drag and drop** | Drag and drop files located in the file explorer, and use the file breadcrumb on the top of the IDE for quick, linear navigation. Access adjacent files in the same file by right-clicking on the breadcrumb file. From e0c9f0785fcf8e33d06e4bf0d87c5ec94d06b458 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Thu, 17 Aug 2023 11:43:42 -0400 Subject: [PATCH 055/486] Adapter constraint support tables --- .../collaborate/govern/model-contracts.md | 79 +++++++++++++++++++ 1 file changed, 79 insertions(+) diff --git a/website/docs/docs/collaborate/govern/model-contracts.md b/website/docs/docs/collaborate/govern/model-contracts.md index 339098adbdc..0b3aae97ede 100644 --- a/website/docs/docs/collaborate/govern/model-contracts.md +++ b/website/docs/docs/collaborate/govern/model-contracts.md @@ -86,6 +86,85 @@ When building a model with a defined contract, dbt will do two things differentl 1. dbt will run a "preflight" check to ensure that the model's query will return a set of columns with names and data types matching the ones you have defined. This check is agnostic to the order of columns specified in your model (SQL) or YAML spec. 2. dbt will include the column names, data types, and constraints in the DDL statements it submits to the data platform, which will be enforced while building or updating the model's table. +## Platform constraint support + +Adapter-specific constraint support across platforms. + + + + + +| constraint type | support | +|:----------------|:-------------| +| not_null | 🌕 supported & enforced | +| primary_key | 🌗 supported; not enforced | +| foreign_key | 🌗 supported; not enforced | +| unique | 🌗 supported; not enforced | +| check | 🌑 not supported | + + + + +| constraint type | support | +|:----------------|:-------------| +| not_null | 🌕 supported & enforced | +| primary_key | 🌗 supported; not enforced | +| foreign_key | 🌗 supported; not enforced | +| unique | 🌗 supported; not enforced | +| check | 🌑 not supported | + + + + +| constraint type | support | +|:-----------------|:-------------| +| not_null | 🌕 supported & enforced | +| primary_key | 🌕 supported & enforced | +| foreign_key | 🌕 supported & enforced | +| unique | 🌑 not supported | +| check | 🌑 not supported | + + + + +| constraint type | support | +|:----------------|:-------------| +| not_null | 🌕 supported & enforced | +| primary_key | 🌕 supported & enforced | +| foreign_key | 🌕 supported & enforced | +| unique | 🌕 supported & enforced | +| check | 🌕 supported & enforced | + + + + +`not_null` and `check` constraints are supported and enforced. In the current implementation, however, these constraints are only enforced after a model builds. Due to this platform limitation, these are considered `supported` but `not enforced` and are not a part of the "model contract" since they can't be enforced at build time. This table will be updated as the features evolve. + +| constraint type | support | +|:----------------|:------------| +| not_null | 🌗 supported; not enforced | +| primary_key | 🌗 supported; not enforced | +| foreign_key | 🌗 supported; not enforced | +| unique | 🌗 supported; not enforced | +| check | 🌗 supported; not enforced | + + + + +`not_null` and `check` constraints are supported and enforced. In the current implementation, however, these constraints are only enforced after a model builds. Due to this platform limitation, these are considered `supported` but `not enforced` and are not a part of the "model contract" since they can't be enforced at build time. This table will be updated as the features evolve. + +| constraint type | support | +|:----------------|:------------| +| not_null | 🌗 supported; not enforced | +| primary_key | 🌗 supported; not enforced | +| foreign_key | 🌗 supported; not enforced | +| unique | 🌗 supported; not enforced | +| check | 🌗 supported; not enforced | + + + + + ## FAQs ### Which models should have contracts? From 7b97f58d934f895b3e182264311a239d7f1ffc3b Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Thu, 17 Aug 2023 14:54:10 -0400 Subject: [PATCH 056/486] clarify test/query behavior for cloud/cli --- website/docs/docs/build/sl-getting-started.md | 36 +++++++++---------- .../use-dbt-semantic-layer/quickstart-sl.md | 16 ++++----- website/snippets/_sl-create-semanticmodel.md | 2 +- website/snippets/_sl-define-metrics.md | 4 ++- website/snippets/_sl-install-metricflow.md | 5 +-- .../snippets/_sl-test-and-query-metrics.md | 22 +++++++++--- website/snippets/_v2-sl-prerequisites.md | 11 +++--- 7 files changed, 53 insertions(+), 43 deletions(-) diff --git a/website/docs/docs/build/sl-getting-started.md b/website/docs/docs/build/sl-getting-started.md index b5c7f5d2810..d14e2097f6d 100644 --- a/website/docs/docs/build/sl-getting-started.md +++ b/website/docs/docs/build/sl-getting-started.md @@ -14,38 +14,34 @@ import DefineMetrics from '/snippets/_sl-define-metrics.md'; import ConfigMetric from '/snippets/_sl-configure-metricflow.md'; import TestQuery from '/snippets/_sl-test-and-query-metrics.md'; -This getting started page presents a sample workflow to help you create your first metrics. It uses the [Jaffle shop example project](https://github.com/dbt-labs/jaffle-sl-template) as the project data source and is available for you to use. If you prefer, you can create semantic models and metrics for your own dbt project. +This getting started page presents a sample workflow to help you create your first metrics in dbt Cloud or the command line (CLI). It uses the [Jaffle shop example project](https://github.com/dbt-labs/jaffle-sl-template) as the project data source and is available for you to use. If you prefer, you can create semantic models and metrics for your own dbt project. -To fully experience the power of a universal dbt Semantic Layer, take the following steps: +This guide will cover the following sections and steps: -- [Create a semantic model](#create-a-semantic-model) with MetricFlow -- [Define metrics](#define-metrics) with MetricFlow -- [Test and query metrics locally](#test-and-query-metrics) with MetricFlow +- [Create a semantic model](#create-a-semantic-model) using MetricFlow +- [Define metrics](#define-metrics) using MetricFlow +- [Test and query metrics locally](#test-and-query-metrics) using MetricFlow - [Run a production job](#run-a-production-job) in dbt Cloud - [Set up dbt Semantic Layer](#set-up-dbt-semantic-layer) in dbt Cloud - [Connect to and query the API](#connect-and-query-api) with dbt Cloud +To fully experience the power of a universal [dbt Semantic Layer](/docs/use-dbt-semantic-layer/dbt-sl), you'll need a dbt Cloud [Team or Enterprise](https://www.getdbt.com/pricing/) account. + ## Prerequisites - Have an understanding of key concepts in [MetricFlow](/docs/build/about-metricflow), which powers the revamped dbt Semantic Layer. - Have both your production and development environments running dbt version 1.6 or higher. Refer to [upgrade in dbt Cloud](/docs/dbt-versions/upgrade-core-in-cloud) for more info. -- Use MetricFlow with Snowflake, BigQuery, Databricks, Postgres (CLI only), or Redshift. (dbt Cloud Postgres support coming soon) -- A successful run in the environment where your Semantic Layer is configured -- To query with dbt Cloud: - * Have a dbt Cloud Team or Enterprise [multi-tenant](/docs/cloud/about-cloud/regions-ip-addresses) deployment, hosted in North America (Other regions coming soon) - * Set up the [dbt Semantic Layer](/docs/use-dbt-semantic-layer/dbt-sl) and the [Semantic Layer API](/docs/dbt-cloud-apis/sl-api-overview) in the integrated tool to import metric definitions. -- To query locally: - * dbt Core or Developer accounts must manually install the [MetricFlow CLI](/docs/build/metricflow-cli) to test or query their metrics. After installing the package, make sure you run at least one model.
- +- Use Snowflake, BigQuery, Databricks, Postgres (CLI only), or Redshift. (dbt Cloud Postgres support coming soon) +- Create a successful run in the environment where you configure the Semantic Layer. + - **Note:** Semantic Layer currently supports the Deployment environment. (_development experience coming soon_) +- Set up the [Semantic Layer API](/docs/dbt-cloud-apis/sl-api-overview) in the integrated tool to import metric definitions. + - **Note:** dbt Core or Developer accounts can only query data manually using the [MetricFlow CLI](/docs/build/metricflow-cli) and SQL. To dynamically query metrics using external tools, you must have a dbt Cloud [Team or Enterprise](https://www.getdbt.com/pricing/) account with access to the Semantic Layer API.
+- Understand [MetricFlow's](/docs/build/about-metricflow) key concepts, which powers the revamped dbt Semantic Layer. :::tip New to dbt or metrics? Try our [Jaffle shop example project](https://github.com/dbt-labs/jaffle-sl-template) to help you get started! ::: -## Install MetricFlow - - - ## Create a semantic model @@ -64,7 +60,7 @@ New to dbt or metrics? Try our [Jaffle shop example project](https://github.com/ ## Run a production job -Before you begin, you must have a dbt Cloud Team or Enterprise [multi-tenant](/docs/cloud/about-cloud/regions-ip-addresses) deployment, hosted in North America. +Before you begin, you must have a dbt Cloud Team or Enterprise [multi-tenant](/docs/cloud/about-cloud/regions-ip-addresses) deployment, hosted in North America (cloud.getdbt.com login). Once you’ve defined metrics in your dbt project, you can perform a job run in your dbt Cloud deployment environment to materialize your metrics. Only the deployment environment is supported for the dbt Semantic Layer at this moment. @@ -82,7 +78,9 @@ import SlSetUp from '/snippets/_new-sl-setup.md'; ## Connect and query API -You can query your metrics in a JDBC-enabled tool or use existing first-class integrations with the dbt Semantic Layer. In order to do so, you must have a dbt Cloud Team or Enterprise [multi-tenant](/docs/cloud/about-cloud/regions-ip-addresses) deployment, hosted in North America. +You can query your metrics in a JDBC-enabled tool or use existing first-class integrations with the dbt Semantic Layer. + +Before you begin, you must have a dbt Cloud Team or Enterprise [multi-tenant](/docs/cloud/about-cloud/regions-ip-addresses) deployment, hosted in North America (cloud.getdbt.com login). - To learn how to use the JDBC API and what tools you can query it with, refer to the {frontMatter.meta.api_name}.
diff --git a/website/docs/docs/use-dbt-semantic-layer/quickstart-sl.md b/website/docs/docs/use-dbt-semantic-layer/quickstart-sl.md index 13b7b99d350..f6c296cfc2a 100644 --- a/website/docs/docs/use-dbt-semantic-layer/quickstart-sl.md +++ b/website/docs/docs/use-dbt-semantic-layer/quickstart-sl.md @@ -27,9 +27,9 @@ MetricFlow is a powerful component within the dbt Semantic Layer that helps user Use this guide to fully experience the power of a universal dbt Semantic Layer. Here are the following steps you'll take: -- [Create a semantic model](#create-a-semantic-model) with MetricFlow -- [Define metrics](#define-metrics) with MetricFlow -- [Test and query metrics locally](#test-and-query-metrics) with MetricFlow +- [Create a semantic model](#create-a-semantic-model) in dbt Cloud using MetricFlow +- [Define metrics](#define-metrics) in dbt Cloud using MetricFlow +- [Test and query metrics locally](#test-and-query-metrics) using MetricFlow - [Run a production job](#run-a-production-job) in dbt Cloud - [Set up dbt Semantic Layer](#setup) in dbt Cloud - [Connect and query API](#connect-and-query-api) with dbt Cloud @@ -44,10 +44,6 @@ import SetUp from '/snippets/_v2-sl-prerequisites.md'; New to dbt or metrics? Try our [Jaffle shop example project](https://github.com/dbt-labs/jaffle-sl-template) to help you get started! ::: -## Install MetricFlow - - - ## Create a semantic model @@ -62,7 +58,7 @@ New to dbt or metrics? Try our [Jaffle shop example project](https://github.com/ ## Run a production job -Once you’ve defined metrics in your dbt project, you can perform a job run in your deployment environment to materialize your metrics. The deployment environment is only supported for the dbt Semantic Layer at this moment. +Once you’ve defined metrics in your dbt project, you can perform a job run in your deployment environment in dbt Cloud to materialize your metrics. The deployment environment is only supported for the dbt Semantic Layer at this moment. 1. Go to **Deploy** in the navigation header 2. Select **Jobs** to re-run the job with the most recent code in the deployment environment. @@ -88,7 +84,9 @@ import SlSetUp from '/snippets/_new-sl-setup.md'; ## Connect and query API -You can query your metrics in a JDBC-enabled tool or use existing first-class integrations with the dbt Semantic Layer. In order to do so, you must have a dbt Cloud Team or Enterprise [multi-tenant](/docs/cloud/about-cloud/regions-ip-addresses) deployment, hosted in North America. +You can query your metrics in a JDBC-enabled tool or use existing first-class integrations with the dbt Semantic Layer. + +Before you begin, you must have a dbt Cloud Team or Enterprise [multi-tenant](/docs/cloud/about-cloud/regions-ip-addresses) deployment, hosted in North America (cloud.getdbt.com login). - To learn how to use the JDBC API and what tools you can query it with, refer to the {frontMatter.meta.api_name}.
diff --git a/website/snippets/_sl-create-semanticmodel.md b/website/snippets/_sl-create-semanticmodel.md index 032bbe37143..bc4276efcb6 100644 --- a/website/snippets/_sl-create-semanticmodel.md +++ b/website/snippets/_sl-create-semanticmodel.md @@ -1,4 +1,4 @@ -The following steps will walk you through setting up semantic models in your dbt project, which consist of [entities](/docs/build/entities), [dimensions](/docs/build/dimensions), and [measures](/docs/build/measures). +The following steps will walk you through setting up semantic models, which you can do with the dbt Cloud IDE or the CLI. Semantic models consist of [entities](/docs/build/entities), [dimensions](/docs/build/dimensions), and [measures](/docs/build/measures). We highly recommend you read the overview of what a [semantic model](/docs/build/semantic-models) is before getting started. If you're working in the [Jaffle shop example](https://github.com/dbt-labs/jaffle-sl-template), delete the `orders.yml` config or delete the .yml extension so it's ignored during parsing. **We'll be rebuilding it step by step in this example.** diff --git a/website/snippets/_sl-define-metrics.md b/website/snippets/_sl-define-metrics.md index cf9ac59f5ee..29af3f5b7c3 100644 --- a/website/snippets/_sl-define-metrics.md +++ b/website/snippets/_sl-define-metrics.md @@ -1,4 +1,6 @@ -Now that you've created your first semantic model, it's time to define your first metric! MetricFlow supports different metric types like [simple](/docs/build/simple), [ratio](/docs/build/ratio), [cumulative](/docs/build/cumulative), and [derived](/docs/build/derived). It's recommended that you read the [metrics overview docs](/docs/build/metrics-overview) before getting started. +Now that you've created your first semantic model, it's time to define your first metric! You can define metrics with the dbt Cloud IDE or CLI. + +MetricFlow supports different metric types like [simple](/docs/build/simple), [ratio](/docs/build/ratio), [cumulative](/docs/build/cumulative), and [derived](/docs/build/derived). It's recommended that you read the [metrics overview docs](/docs/build/metrics-overview) before getting started. 1. You can define metrics in the same YAML files as your semantic models or create a new file. If you want to create your metrics in a new file, create another directory called `/models/metrics`. The file structure for metrics can become more complex from here if you need to further organize your metrics, for example, by data source or business line. diff --git a/website/snippets/_sl-install-metricflow.md b/website/snippets/_sl-install-metricflow.md index 4677cd572fe..73e60d34e85 100644 --- a/website/snippets/_sl-install-metricflow.md +++ b/website/snippets/_sl-install-metricflow.md @@ -1,7 +1,8 @@ -Before you begin, install the [MetricFlow CLI](/docs/build/metricflow-cli) as an extension of a dbt adapter from PyPI. The MetricFlow CLI is compatible with Python versions 3.8, 3.9, 3.10 and 3.11 +Install the [MetricFlow CLI](/docs/build/metricflow-cli) as an extension of a dbt adapter from PyPI. The MetricFlow CLI is compatible with Python versions 3.8, 3.9, 3.10 and 3.11 Use pip install `metricflow` and your [dbt adapter](/docs/supported-data-platforms): - Create or activate your virtual environment. `python -m venv venv` or `source your-venv/bin/activate` - Run `pip install "dbt-metricflow[your_adapter_name]"` - - You must specify `[your_adapter_name]`. For example, run `pip install "dbt-metricflow[snowflake]"` if you use a Snowflake adapter. + - You must specify `[your_adapter_name]`. + - For example, run `pip install "dbt-metricflow[snowflake]"` if you use a Snowflake adapter. diff --git a/website/snippets/_sl-test-and-query-metrics.md b/website/snippets/_sl-test-and-query-metrics.md index 7d309466f26..b5ff1197063 100644 --- a/website/snippets/_sl-test-and-query-metrics.md +++ b/website/snippets/_sl-test-and-query-metrics.md @@ -1,13 +1,25 @@ -This section will explain how you can locally test and query metrics. Before you begin, refer to [MetricFlow CLI](/docs/build/metricflow-cli) for instructions on installing it and a reference for the CLI commands. +:::important Testing and querying metrics in the dbt Cloud IDE not yet supported + +For public beta, testing or querying metrics in the dbt Cloud IDE isn't supported yet, however support is coming soon. + +You can use the **Preview** or **Compile** buttons in the IDE to run semantic validations and make sure your metrics are defined. And you can [dynamically query metrics](l#connect-and-query-api) with integrated tools on a dbt Cloud [Team or Enterprise](https://www.getdbt.com/pricing/) plan using the [Semantic Layer API](/docs/dbt-cloud-apis/sl-api-overview). + +You can currently only test metrics locally using the MetricFlow CLI. Alternatively, you can test using SQL client tools like DataGrip, DBeaver, or RazorSQL. -:::important -- dbt Cloud Team or Enterprise — For public beta, querying metrics in the dbt Cloud IDE isn't yet supported (Coming soon). You'll still be able to run semantic validation on your metrics in the IDE to ensure they are defined correctly. You can also use the MetricFlow CLI to test and query metrics locally. Alternatively, you can test using SQL client tools like DataGrip, DBeaver, or RazorSQL. -- dbt Core or Developer plan — Users can only test and query metrics manually using the CLI, but won't be able to use the dbt Semantic Layer to dynamically query metrics. ::: -**Query and commit your metrics using the CLI:** +This section will explain how you can test and query metrics locally using the MetricFlow CLI (dbt Cloud IDE support coming soon). + +Before you begin, you'll need to install the [MetricFlow CLI](/docs/build/metricflow-cli) package and make sure you run at least one model. +### Install MetricFlow + +import InstallMetricFlow from '/snippets/_sl-install-metricflow.md'; + + + +### Query and commit your metrics using the CLI MetricFlow needs a `semantic_manifest.json` in order to build a semantic graph. To generate a semantic_manifest.json artifact run `dbt parse`. This will create the file in your `/target` directory. If you're working from the Jaffle shop example, run `dbt seed && dbt run` before preceding to ensure the data exists in your warehouse. diff --git a/website/snippets/_v2-sl-prerequisites.md b/website/snippets/_v2-sl-prerequisites.md index 8e7075db257..036bd93a761 100644 --- a/website/snippets/_v2-sl-prerequisites.md +++ b/website/snippets/_v2-sl-prerequisites.md @@ -4,13 +4,12 @@ To use the Semantic Layer, you must: - Have a dbt Cloud Team or Enterprise [multi-tenant](/docs/cloud/about-cloud/regions-ip-addresses) deployment, hosted in North America. -- Have both your production and development environments running dbt version 1.6 or higher. +- Have both your production and development environments running dbt version 1.6 or higher. Refer to [upgrade in dbt Cloud](/docs/dbt-versions/upgrade-core-in-cloud) for more info. - Use Snowflake, BigQuery, Databricks, or Redshift (dbt Cloud Postgres support coming soon). -- Create a successful run in the environment where you configure the Semantic Layer.
- **Note:** Semantic Layer currently supports the Deployment environment. (_development experience coming soon_) -- Install the [MetricFlow CLI](/docs/build/metricflow-cli). After installing the package, make sure you run at least one model. -- Set up the [Semantic Layer API](/docs/dbt-cloud-apis/sl-api-overview) in the integrated tool to import metric definitions.
-**Note:** Developer accounts can only query data manually using the [MetricFlow CLI](/docs/build/metricflow-cli) and SQL. To dynamically query metrics using external tools, you must have a dbt Cloud Team or Enterprise account with access to the Semantic Layer API.
+- Create a successful run in the environment where you configure the Semantic Layer. + - **Note:** Semantic Layer currently supports the Deployment environment. (_development experience coming soon_) +- Set up the [Semantic Layer API](/docs/dbt-cloud-apis/sl-api-overview) in the integrated tool to import metric definitions. + - **Note:** dbt Core or Developer accounts can only query data manually using the [MetricFlow CLI](/docs/build/metricflow-cli) and SQL. To dynamically query metrics using external tools, you must have a dbt Cloud [Team or Enterprise](https://www.getdbt.com/pricing/) account with access to the Semantic Layer API.
- Understand [MetricFlow's](/docs/build/about-metricflow) key concepts, which powers the revamped dbt Semantic Layer. From 4e94588d9f69189097edd753b3ee6d81558d81ff Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Thu, 17 Aug 2023 14:54:26 -0400 Subject: [PATCH 057/486] fix spacing --- website/snippets/_sl-test-and-query-metrics.md | 2 -- 1 file changed, 2 deletions(-) diff --git a/website/snippets/_sl-test-and-query-metrics.md b/website/snippets/_sl-test-and-query-metrics.md index b5ff1197063..39cc553c528 100644 --- a/website/snippets/_sl-test-and-query-metrics.md +++ b/website/snippets/_sl-test-and-query-metrics.md @@ -6,8 +6,6 @@ You can use the **Preview** or **Compile** buttons in the IDE to run semantic va You can currently only test metrics locally using the MetricFlow CLI. Alternatively, you can test using SQL client tools like DataGrip, DBeaver, or RazorSQL. - - ::: This section will explain how you can test and query metrics locally using the MetricFlow CLI (dbt Cloud IDE support coming soon). From a916ea24b9581511ea634409eac7c5115c98cb8d Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Thu, 17 Aug 2023 15:10:47 -0400 Subject: [PATCH 058/486] fix broken link --- website/snippets/_sl-test-and-query-metrics.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/snippets/_sl-test-and-query-metrics.md b/website/snippets/_sl-test-and-query-metrics.md index 39cc553c528..a3fd410e732 100644 --- a/website/snippets/_sl-test-and-query-metrics.md +++ b/website/snippets/_sl-test-and-query-metrics.md @@ -2,7 +2,7 @@ For public beta, testing or querying metrics in the dbt Cloud IDE isn't supported yet, however support is coming soon. -You can use the **Preview** or **Compile** buttons in the IDE to run semantic validations and make sure your metrics are defined. And you can [dynamically query metrics](l#connect-and-query-api) with integrated tools on a dbt Cloud [Team or Enterprise](https://www.getdbt.com/pricing/) plan using the [Semantic Layer API](/docs/dbt-cloud-apis/sl-api-overview). +You can use the **Preview** or **Compile** buttons in the IDE to run semantic validations and make sure your metrics are defined. And you can [dynamically query metrics](#connect-and-query-api) with integrated tools on a dbt Cloud [Team or Enterprise](https://www.getdbt.com/pricing/) plan using the [Semantic Layer API](/docs/dbt-cloud-apis/sl-api-overview). You can currently only test metrics locally using the MetricFlow CLI. Alternatively, you can test using SQL client tools like DataGrip, DBeaver, or RazorSQL. From f0a55a184d58955b05f4ef1ccf2a67cadd8a7424 Mon Sep 17 00:00:00 2001 From: Mike Alfare <13974384+mikealfare@users.noreply.github.com> Date: Thu, 17 Aug 2023 15:35:59 -0400 Subject: [PATCH 059/486] Update website/docs/reference/resource-configs/postgres-configs.md fix heading anchor Co-authored-by: Anders --- website/docs/reference/resource-configs/postgres-configs.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/reference/resource-configs/postgres-configs.md b/website/docs/reference/resource-configs/postgres-configs.md index 0553630b8c4..5fcb569a2e5 100644 --- a/website/docs/reference/resource-configs/postgres-configs.md +++ b/website/docs/reference/resource-configs/postgres-configs.md @@ -123,7 +123,7 @@ models: The Postgres adapter supports [materialized views](https://www.postgresql.org/docs/current/rules-materializedviews.html). Indexes are the only configuration that is specific to `dbt-postgres`. -The remaining configuration follows the general [materialized view](/docs/build/materializations#Materialized-View) configuration. +The remaining configuration follows the general [materialized view](/docs/build/materializations#materialized-view) configuration. There are also some limitations that we hope to address in the next version. ### Monitored Configuration Changes From ab418021658ceccd7e15d9b0bb79362f16e7f3b6 Mon Sep 17 00:00:00 2001 From: Mike Alfare <13974384+mikealfare@users.noreply.github.com> Date: Thu, 17 Aug 2023 15:36:54 -0400 Subject: [PATCH 060/486] Update website/docs/reference/resource-configs/postgres-configs.md style guide Co-authored-by: Anders --- website/docs/reference/resource-configs/postgres-configs.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/reference/resource-configs/postgres-configs.md b/website/docs/reference/resource-configs/postgres-configs.md index 5fcb569a2e5..368235f64e4 100644 --- a/website/docs/reference/resource-configs/postgres-configs.md +++ b/website/docs/reference/resource-configs/postgres-configs.md @@ -113,7 +113,7 @@ models: -## Materialized Views +## Materialized views From deefb21ed6f63a9035624e4aa88bc85220b6df4e Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Thu, 17 Aug 2023 15:44:58 -0400 Subject: [PATCH 061/486] Apply suggestions from code review Co-authored-by: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> --- .../collaborate/govern/model-contracts.md | 25 ++++++++++--------- 1 file changed, 13 insertions(+), 12 deletions(-) diff --git a/website/docs/docs/collaborate/govern/model-contracts.md b/website/docs/docs/collaborate/govern/model-contracts.md index 0b3aae97ede..6c6eec678ce 100644 --- a/website/docs/docs/collaborate/govern/model-contracts.md +++ b/website/docs/docs/collaborate/govern/model-contracts.md @@ -88,24 +88,24 @@ When building a model with a defined contract, dbt will do two things differentl ## Platform constraint support -Adapter-specific constraint support across platforms. +Select the adapter-specific tab for more info on adapter-specific constraint support across platforms. -| constraint type | support | +| Constraint type | Support | |:----------------|:-------------| -| not_null | 🌕 supported & enforced | -| primary_key | 🌗 supported; not enforced | -| foreign_key | 🌗 supported; not enforced | +| not_null | 🌕 Supported and enforced | +| primary_key | 🌗 Supported and not enforced | +| foreign_key | 🌗 Supported and not enforced | | unique | 🌗 supported; not enforced | | check | 🌑 not supported | -| constraint type | support | +| Constraint type | Support | |:----------------|:-------------| | not_null | 🌕 supported & enforced | | primary_key | 🌗 supported; not enforced | @@ -116,7 +116,7 @@ Adapter-specific constraint support across platforms. -| constraint type | support | +| Constraint type | Support | |:-----------------|:-------------| | not_null | 🌕 supported & enforced | | primary_key | 🌕 supported & enforced | @@ -127,7 +127,7 @@ Adapter-specific constraint support across platforms. -| constraint type | support | +| Constraint type | Support | |:----------------|:-------------| | not_null | 🌕 supported & enforced | | primary_key | 🌕 supported & enforced | @@ -138,9 +138,9 @@ Adapter-specific constraint support across platforms. -`not_null` and `check` constraints are supported and enforced. In the current implementation, however, these constraints are only enforced after a model builds. Due to this platform limitation, these are considered `supported` but `not enforced` and are not a part of the "model contract" since they can't be enforced at build time. This table will be updated as the features evolve. +`not_null` and `check` constraints are supported and enforced. Currently, constraints are enforced only after a model builds. Because of this platform limitation, the constraints are considered `supported` but `not enforced` and not part of the "model contract" since they can't be enforced at build time. This table will change as the features evolve. -| constraint type | support | +| Constraint type | Support | |:----------------|:------------| | not_null | 🌗 supported; not enforced | | primary_key | 🌗 supported; not enforced | @@ -151,9 +151,10 @@ Adapter-specific constraint support across platforms. -`not_null` and `check` constraints are supported and enforced. In the current implementation, however, these constraints are only enforced after a model builds. Due to this platform limitation, these are considered `supported` but `not enforced` and are not a part of the "model contract" since they can't be enforced at build time. This table will be updated as the features evolve. +```suggestion +`not_null` and `check` constraints are supported and enforced. Currently, constraints are enforced only after a model builds. Because of this platform limitation, the constraints are considered `supported` but `not enforced` and not part of the "model contract" since they can't be enforced at build time. This table will change as the features evolve. -| constraint type | support | +| Constraint type | Support | |:----------------|:------------| | not_null | 🌗 supported; not enforced | | primary_key | 🌗 supported; not enforced | From 517a8fb0ee04895b29286b74c0972519671e416a Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Thu, 17 Aug 2023 15:58:18 -0400 Subject: [PATCH 062/486] Update model-contracts.md --- .../collaborate/govern/model-contracts.md | 59 +++++++++---------- 1 file changed, 29 insertions(+), 30 deletions(-) diff --git a/website/docs/docs/collaborate/govern/model-contracts.md b/website/docs/docs/collaborate/govern/model-contracts.md index 6c6eec678ce..c69f1ae958c 100644 --- a/website/docs/docs/collaborate/govern/model-contracts.md +++ b/website/docs/docs/collaborate/govern/model-contracts.md @@ -97,43 +97,43 @@ Select the adapter-specific tab for more info on adapter-specific constraint sup | Constraint type | Support | |:----------------|:-------------| | not_null | 🌕 Supported and enforced | -| primary_key | 🌗 Supported and not enforced | +| primary_key | 🌗 Supported and not enforced | | foreign_key | 🌗 Supported and not enforced | -| unique | 🌗 supported; not enforced | -| check | 🌑 not supported | +| unique | 🌗 Supported and not enforced | +| check | 🌑 Not supported | | Constraint type | Support | |:----------------|:-------------| -| not_null | 🌕 supported & enforced | -| primary_key | 🌗 supported; not enforced | -| foreign_key | 🌗 supported; not enforced | -| unique | 🌗 supported; not enforced | -| check | 🌑 not supported | +| not_null | 🌕 Supported and enforced | +| primary_key | 🌗 Supported and not enforced | +| foreign_key | 🌗 Supported and not enforced | +| unique | 🌗 Supported and not enforced | +| check | 🌑 Not supported | | Constraint type | Support | |:-----------------|:-------------| -| not_null | 🌕 supported & enforced | -| primary_key | 🌕 supported & enforced | -| foreign_key | 🌕 supported & enforced | -| unique | 🌑 not supported | -| check | 🌑 not supported | +| not_null | 🌕 Supported and enforced | +| primary_key | 🌕 Supported and enforced | +| foreign_key | 🌕 Supported and enforced | +| unique | 🌑 Not supported | +| check | 🌑 Not supported | | Constraint type | Support | |:----------------|:-------------| -| not_null | 🌕 supported & enforced | -| primary_key | 🌕 supported & enforced | -| foreign_key | 🌕 supported & enforced | -| unique | 🌕 supported & enforced | -| check | 🌕 supported & enforced | +| not_null | 🌕 Supported and enforced | +| primary_key | 🌕 Supported and enforced | +| foreign_key | 🌕 Supported and enforced | +| unique | 🌕 Supported and enforced | +| check | 🌕 Supported and enforced | @@ -142,25 +142,24 @@ Select the adapter-specific tab for more info on adapter-specific constraint sup | Constraint type | Support | |:----------------|:------------| -| not_null | 🌗 supported; not enforced | -| primary_key | 🌗 supported; not enforced | -| foreign_key | 🌗 supported; not enforced | -| unique | 🌗 supported; not enforced | -| check | 🌗 supported; not enforced | +| not_null | 🌗 Supported and not enforced | +| primary_key | 🌗 Supported and not enforced | +| foreign_key | 🌗 Supported and not enforced | +| unique | 🌗 Supported and not enforced | +| check | 🌗 Supported and not enforced | -```suggestion `not_null` and `check` constraints are supported and enforced. Currently, constraints are enforced only after a model builds. Because of this platform limitation, the constraints are considered `supported` but `not enforced` and not part of the "model contract" since they can't be enforced at build time. This table will change as the features evolve. -| Constraint type | Support | +| Constraint type | Support | |:----------------|:------------| -| not_null | 🌗 supported; not enforced | -| primary_key | 🌗 supported; not enforced | -| foreign_key | 🌗 supported; not enforced | -| unique | 🌗 supported; not enforced | -| check | 🌗 supported; not enforced | +| not_null | 🌗 Supported and not enforced | +| primary_key | 🌗 Supported and not enforced | +| foreign_key | 🌗 Supported and not enforced | +| unique | 🌗 Supported and not enforced | +| check | 🌗 Supported and not enforced | From 57fbab705c422440b6588e206626a2f4825368cf Mon Sep 17 00:00:00 2001 From: Mike Alfare <13974384+mikealfare@users.noreply.github.com> Date: Fri, 18 Aug 2023 11:42:01 -0400 Subject: [PATCH 063/486] Update website/docs/docs/build/materializations.md Co-authored-by: Amy Chen <46451573+amychen1776@users.noreply.github.com> --- website/docs/docs/build/materializations.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/build/materializations.md b/website/docs/docs/build/materializations.md index 09d8fe41efb..c68192e1a3e 100644 --- a/website/docs/docs/build/materializations.md +++ b/website/docs/docs/build/materializations.md @@ -132,7 +132,7 @@ Materialized views are a combination of a view and a table, and serve use cases * **Pros:** * Materialized views combine the query performance of a table with the data freshness of a view * Materialized views operate much like incremental materializations, however they are usually -able to be refreshed on a regular cadence (depending on the database), forgoing the regular refresh +able to be refreshed on a regular cadence (depending on the database), forgoing the regular dbt batch refresh required with incremental materializations * `dbt run` on materialized views correspond to a code deployment, just like views * **Cons:** From 2ea5bb1702a0e45c52fd2af3480b89a8b9368624 Mon Sep 17 00:00:00 2001 From: Mike Alfare <13974384+mikealfare@users.noreply.github.com> Date: Fri, 18 Aug 2023 11:51:01 -0400 Subject: [PATCH 064/486] Update website/docs/docs/build/materializations.md Co-authored-by: Amy Chen <46451573+amychen1776@users.noreply.github.com> --- website/docs/docs/build/materializations.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/build/materializations.md b/website/docs/docs/build/materializations.md index c68192e1a3e..ba3e7b21b8c 100644 --- a/website/docs/docs/build/materializations.md +++ b/website/docs/docs/build/materializations.md @@ -141,7 +141,7 @@ less configuration options * Materialized views may not be supported by every database platform * **Advice:** * Consider materialized views for use cases where incremental models are sufficient, -but you want to set the refresh to a schedule instead of running dbt +but you would like the data platform to manage the incremental logic and refresh. ## Python materializations From ac6268aa6c27bc689cbe5ad0f42bf68f1902709a Mon Sep 17 00:00:00 2001 From: Mike Alfare <13974384+mikealfare@users.noreply.github.com> Date: Fri, 18 Aug 2023 11:51:29 -0400 Subject: [PATCH 065/486] Update website/docs/reference/resource-configs/postgres-configs.md Co-authored-by: Amy Chen <46451573+amychen1776@users.noreply.github.com> --- website/docs/reference/resource-configs/postgres-configs.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/reference/resource-configs/postgres-configs.md b/website/docs/reference/resource-configs/postgres-configs.md index 368235f64e4..a4aaf9b0b75 100644 --- a/website/docs/reference/resource-configs/postgres-configs.md +++ b/website/docs/reference/resource-configs/postgres-configs.md @@ -143,7 +143,7 @@ directly to the materialized view in place. Swapping an already materialized model to a materialized view, and vice versa, is not supported. The workaround is to manually drop the existing materialization in the data warehouse prior to calling `dbt run`. -Normally, re-running with the `--full-refresh` flag would resolve this, but not in this case. +Running with `--full-refresh` flag will not work to drop the existing table or view and create the materialized view (and vice versa). This would only need to be done once as the existing object would then be a materialized view. For example, assume a table, `my_model`, has already been materialized to the underlying data platform via `dbt run`. From 8944a93b80430509d0c862486c13d3410637be39 Mon Sep 17 00:00:00 2001 From: Mike Alfare <13974384+mikealfare@users.noreply.github.com> Date: Fri, 18 Aug 2023 11:54:09 -0400 Subject: [PATCH 066/486] Update website/docs/reference/resource-configs/postgres-configs.md Co-authored-by: Amy Chen <46451573+amychen1776@users.noreply.github.com> --- website/docs/reference/resource-configs/postgres-configs.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/reference/resource-configs/postgres-configs.md b/website/docs/reference/resource-configs/postgres-configs.md index a4aaf9b0b75..bf1deae668f 100644 --- a/website/docs/reference/resource-configs/postgres-configs.md +++ b/website/docs/reference/resource-configs/postgres-configs.md @@ -146,7 +146,7 @@ The workaround is to manually drop the existing materialization in the data ware Running with `--full-refresh` flag will not work to drop the existing table or view and create the materialized view (and vice versa). This would only need to be done once as the existing object would then be a materialized view. -For example, assume a table, `my_model`, has already been materialized to the underlying data platform via `dbt run`. +For example,`my_model`, has already been materialized as a table in the underlying data platform via `dbt run`. If the user changes the model's config to `materialized="materialized_view"`, they will get an error. The solution is to execute `DROP TABLE my_model` on the data warehouse before trying the model again. From ceb1dca912c716c71ed8d3ec941fb7d335514d29 Mon Sep 17 00:00:00 2001 From: Mike Alfare <13974384+mikealfare@users.noreply.github.com> Date: Fri, 18 Aug 2023 11:58:05 -0400 Subject: [PATCH 067/486] Update website/docs/reference/resource-configs/snowflake-configs.md Co-authored-by: Amy Chen <46451573+amychen1776@users.noreply.github.com> --- website/docs/reference/resource-configs/snowflake-configs.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/reference/resource-configs/snowflake-configs.md b/website/docs/reference/resource-configs/snowflake-configs.md index daf534b5f45..b3bdabc12fe 100644 --- a/website/docs/reference/resource-configs/snowflake-configs.md +++ b/website/docs/reference/resource-configs/snowflake-configs.md @@ -410,7 +410,7 @@ The settings below are monitored for changes applicable to `on_configuration_cha #### Target Lag -Changes to `target_lag` can be applied via an `ALTER` statement. Refreshing is essentially +Changes to `target_lag` can be applied by running an `ALTER` statement. Refreshing is essentially always on for dynamic tables; this setting changes how frequently the dynamic table is updated. #### Warehouse From 1cd2de5b8ecbc8ea7efdb6b1fff920b4980bc324 Mon Sep 17 00:00:00 2001 From: Mike Alfare <13974384+mikealfare@users.noreply.github.com> Date: Fri, 18 Aug 2023 14:12:28 -0400 Subject: [PATCH 068/486] Update website/docs/reference/resource-configs/redshift-configs.md Co-authored-by: Amy Chen <46451573+amychen1776@users.noreply.github.com> --- website/docs/reference/resource-configs/redshift-configs.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/reference/resource-configs/redshift-configs.md b/website/docs/reference/resource-configs/redshift-configs.md index 1e51ff32a42..41f8a5f45f0 100644 --- a/website/docs/reference/resource-configs/redshift-configs.md +++ b/website/docs/reference/resource-configs/redshift-configs.md @@ -124,7 +124,7 @@ The settings below are monitored for changes applicable to `on_configuration_cha #### Dist -Changes to `dist` will result in a full refresh. Redshift requires a materialized view to be +Changes to `dist` will result in a full refresh of the existing materialized view (applied at the time of the next `dbt run` of the model). Redshift requires a materialized view to be dropped and recreated to apply a change to the `distkey` or `diststyle`. #### Sort Type, Sort From 290e0da4188543493e1003314d65ab368efa337c Mon Sep 17 00:00:00 2001 From: rpourzand Date: Fri, 18 Aug 2023 15:26:56 -0700 Subject: [PATCH 069/486] Update sl-partner-integration-guide.md - added a note on where filters/string when we release it - added a note about graphql so we can add it once shipped --- .../dbt-ecosystem/sl-partner-integration-guide.md | 14 ++++++++------ 1 file changed, 8 insertions(+), 6 deletions(-) diff --git a/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md b/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md index decad95a516..615e5729ff8 100644 --- a/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md +++ b/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md @@ -21,7 +21,7 @@ This is an evolving guide that is meant to provide recommendations based on our To build a dbt Semantic Layer integration: -- Initially, we recommend building an integration with the [JDBC](/docs/dbt-cloud-apis/sl-jdbc) followed by enhancements of additional features. Refer to the dedicated [dbt Semantic Layer API](/docs/dbt-cloud-apis/sl-api-overview) for more technical integration details. +- We offer a [JDBC](/docs/dbt-cloud-apis/sl-jdbc) API (and will soon offer a GraphQL API). Refer to the dedicated [dbt Semantic Layer API](/docs/dbt-cloud-apis/sl-api-overview) for more technical integration details. - Familiarize yourself with the [dbt Semantic Layer](/docs/use-dbt-semantic-layer/dbt-sl) and [MetricFlow](/docs/build/about-metricflow)'s key concepts. There are two main objects: @@ -30,11 +30,9 @@ To build a dbt Semantic Layer integration: ### Connection parameters -The dbt Semantic Layer authenticates with `environmentId`, `SERVICE_TOKEN`, and `host`. +The dbt Semantic Layer APIs authenticate with `environmentId`, `SERVICE_TOKEN`, and `host`. -This applies to the dbt Semantic Layer APIs, which all currently use different host names. We recommend you provide users with separate input fields with these components (which dbt Cloud provides). - -For [JDBC](/docs/dbt-cloud-apis/sl-jdbc), you can construct the JDBC URL from these inputs. Or, you could request the full URL string. +We recommend you provide users with separate input fields with these components for authentication (dbt Cloud will surface these parameters for the user). ## Best practices on exposing metrics: @@ -114,8 +112,12 @@ For better analysis, it's best to have the context of the metrics close to where ### A note on transparency and using explain -For transparency and additional context, we recommend you have an easy way for the user to obtain the SQL that MetricFlow generates. You can do this by appending `explain=True` to any query. This is incredibly powerful because we want to be very transparent to the user about what we're doing and do not want to be a black box. This would be mostly a power user / technical user functionality. +For transparency and additional context, we recommend you have an easy way for the user to obtain the SQL that MetricFlow generates. You can do this by appending `explain=True` to any query. This is incredibly powerful because we want to be very transparent to the user about what we're doing and do not want to be a black box. This would be mostly beneficial to a technical user. + + +### A note on Where Filters +In the cases where our APIs support either a string or a filter list for the `where` clause, we always recommend that your application utilizes the filter list in order to gain maximum pushdown benefits. The `where` string may be more intuititive for users writing queries during testing, but it will not have the performance benefits of the filter list in a production environment. ### Example stages of an integration From 8176b6632df799725797882e45a01652e0e5a050 Mon Sep 17 00:00:00 2001 From: rpourzand Date: Fri, 18 Aug 2023 15:56:57 -0700 Subject: [PATCH 070/486] Update sl-jdbc.md - update to filter list for WHERE - update to examples with where - updates for using Dimension() AND TimeDimension() in where clause --- website/docs/docs/dbt-cloud-apis/sl-jdbc.md | 24 +++++++++++++++------ 1 file changed, 18 insertions(+), 6 deletions(-) diff --git a/website/docs/docs/dbt-cloud-apis/sl-jdbc.md b/website/docs/docs/dbt-cloud-apis/sl-jdbc.md index 79864e200a5..e4d1d6ebbaf 100644 --- a/website/docs/docs/dbt-cloud-apis/sl-jdbc.md +++ b/website/docs/docs/dbt-cloud-apis/sl-jdbc.md @@ -138,7 +138,7 @@ To query metric values, here are the following parameters that are available: | `metrics` | The metric name as defined in your dbt metric configuration | `metrics=['revenue']` | Required | | `group_by` | Dimension names or entities to group by. We require a reference to the entity of the dimension (other than for the primary time dimension), which is pre-appended to the front of the dimension name with a double underscore. | `group_by=['user__country', 'metric_time']` | Optional | | `grain` | A parameter specific to any time dimension and changes the grain of the data from the default for the metric. | `group_by=[Dimension('metric_time')`
`grain('week\|day\|month\|quarter\|year')]` | Optional | -| `where` | A where clause that allows you to filter on dimensions and entities using parameters - comes with `TimeDimension`, `Dimension`, and `Entity` objects. Granularity is required with `TimeDimension` | `"{{ where=Dimension('customer__country') }} = 'US')"` | Optional | +| `where` | A where clause that allows you to filter on dimensions and entities using parameters. This takes a filter list OR string. Inputs come with `Dimension`, and `Entity` objects. Granularity is required if the `Dimension` is a time dimension | `"{{ where=Dimension('customer__country') }} = 'US')"` | Optional | | `limit` | Limit the data returned | `limit=10` | Optional | |`order` | Order the data returned | `order_by=['-order_gross_profit']` (remove `-` for ascending order) | Optional | | `explain` | If true, returns generated SQL for the data platform but does not execute | `explain=True` | Optional | @@ -215,21 +215,33 @@ select * from {{ ### Query with where filters -Where filters have three components: +Where filters in API allow for a filter list or string. We recommend using the filter list for production application as this format will realize all benefits from predicate pushdown where possible. -- `TimeDimension()` is used for any time dimension and requires a granularity argument - `TimeDimension('metric_time', 'DAY')` +Where Filters have a few objects that can be used: -- `Dimension()` - This is used for any categorical dimensions - `Dimension('customer__country')` +- `Dimension()` - This is used for any categorical or time dimensions. If used for a time dimension, granularity is required - `Dimension('metric_time').grain('week')` or `Dimension('customer__country')` - `Entity()` - used for entities like primary and foreign keys - `Entity('order_id')` -Use the following example to query using a `where` filter: +Note: If you prefer more strongly typed `where` clause, you can optionally use `TimeDimension` to separate out categorical dimensions from time ones. The `TimeDimesion` input takes the time dimension name and also requires granularity - an example is `TimeDimension('metric_time', 'MONTH')`. + +Use the following example to query using a `where` filter using the string format: + +```bash +select * from {{ +semantic_layer.query(metrics=['food_order_amount', 'order_gross_profit'], +group_by=[Dimension('metric_time').grain('month'),'customer__customer_type'], +where="{{ Dimension('metric_time'.grain('month') }} >= '2017-03-09' AND {{ Dimension('customer__customer_type' }} in ('new') AND {{ Entity('order_id') }} = 10") +}} +``` + +Use the following example to query using a `where` filter with a filter list format: ```bash select * from {{ semantic_layer.query(metrics=['food_order_amount', 'order_gross_profit'], group_by=[Dimension('metric_time').grain('month'),'customer__customer_type'], -where="{{ TimeDimension('metric_time', 'MONTH') }} >= '2017-03-09' AND {{ Dimension('customer__customer_type' }} in ('new') AND {{ Entity('order_id') }} = 10") +where=[{{ Dimension('metric_time'.grain('month') }} >= '2017-03-09', {{ Dimension('customer__customer_type' }} in ('new'), {{ Entity('order_id') }} = 10]) }} ``` From 2576eef61b4296d40ea305f146679c716d5126e2 Mon Sep 17 00:00:00 2001 From: Doug Beatty <44704949+dbeatty10@users.noreply.github.com> Date: Fri, 18 Aug 2023 19:59:09 -0600 Subject: [PATCH 071/486] Update meta config for sources --- website/docs/reference/resource-configs/meta.md | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/website/docs/reference/resource-configs/meta.md b/website/docs/reference/resource-configs/meta.md index 18cc13ae969..381dfd589c8 100644 --- a/website/docs/reference/resource-configs/meta.md +++ b/website/docs/reference/resource-configs/meta.md @@ -59,11 +59,13 @@ version: 2 sources: - name: model_name - meta: {} + config: + meta: {} tables: - name: table_name - meta: {} + config: + meta: {} columns: - name: column_name From a88de16dcfb621b881b96af5430f5935b8bc132d Mon Sep 17 00:00:00 2001 From: Doug Beatty <44704949+dbeatty10@users.noreply.github.com> Date: Fri, 18 Aug 2023 20:09:33 -0600 Subject: [PATCH 072/486] `meta` config for macros arguments raises a Parsing Error --- website/docs/reference/resource-configs/meta.md | 1 - 1 file changed, 1 deletion(-) diff --git a/website/docs/reference/resource-configs/meta.md b/website/docs/reference/resource-configs/meta.md index 381dfd589c8..d31b9e36e45 100644 --- a/website/docs/reference/resource-configs/meta.md +++ b/website/docs/reference/resource-configs/meta.md @@ -154,7 +154,6 @@ macros: arguments: - name: argument_name - meta: {} ``` From 023fafadabb1878d9afc198648ce485db2d3e21f Mon Sep 17 00:00:00 2001 From: Boris Sorochkin Date: Mon, 21 Aug 2023 11:49:36 +0300 Subject: [PATCH 073/486] Remove Upsolver Quick Start --- website/docs/quickstarts/upsolver-qs.md | 249 -------------------- website/static/img/icons/upsolver.svg | 18 -- website/static/img/icons/white/upsolver.svg | 18 -- 3 files changed, 285 deletions(-) delete mode 100644 website/docs/quickstarts/upsolver-qs.md delete mode 100644 website/static/img/icons/upsolver.svg delete mode 100644 website/static/img/icons/white/upsolver.svg diff --git a/website/docs/quickstarts/upsolver-qs.md b/website/docs/quickstarts/upsolver-qs.md deleted file mode 100644 index 3970ad3828d..00000000000 --- a/website/docs/quickstarts/upsolver-qs.md +++ /dev/null @@ -1,249 +0,0 @@ ---- -title: "Quickstart for dbt Core and Upsolver" -id: "upsolver" -platform: 'dbt-core' -icon: 'upsolver' -hide_table_of_contents: true ---- - -## What is Upsolver - -[Upsolver](https://upsolver.com) enables you to use familiar SQL syntax to quickly build and deploy data pipelines, powered by a stream processing engine designed for cloud data lakes. Upsolver has own UI with SQL console allowing to execute commands and monitor pipelines in the UI. It also includes free trial and access to variety of examples and tutorials. - -## Installation - -### Install dbt-upsolver adapter - -```sh - pip install dbt-upsolver -``` - -### Make sure the adapter is installed - -```sh -dbt --version -``` - -### Expected result - -```sh -Core: - - installed: - - latest: -Plugins: - - upsolver: -``` - -## Upsolver account, API token, datsabase, schema - -For registeration navigate to [SQL Lake Sign Up form](https://sqlake.upsolver.com/signup). You'll have access to SQL workbench with examples and tutorials after completing the registration. - -### Create API token - -After login navigate to "[Settings](https://sqlake.upsolver.com/Settings)" and then to "[API Tokens](https://sqlake.upsolver.com/Settings/api-tokens)" - -You will need API token and API Url to access Upsolver programatically. - -![API Tokens screen](https://github.com/Upsolver/upsolver-sdk-python/raw/build_package/doc/img/APITokens-m.png) - -Then click "Generate" new token and save it for future use. - -### Get your user name, database and schema - -- For **user name** navigate to **Settings** -> **User details** and copy user name -- For **database** and **schema** navigate to **Worksheets** and click **New**. -- You will find **database name** and **schema(catalog) name** under **Entities panel** - -## dbt-upsolver project - -```sh -dbt init -``` - -Prompt: - -Which database would you like to use? -[1] upsolver - -```sh -Enter a number: -api_url (your api_url): https://mt-api-prod.upsolver.com -token (your token): -user (dev username): -database (default database): -schema (default schema): -threads (1 or more) [1]: -``` - -### profiles.yml - -- On mac `profiles.yml` location usually is `/Users//.dbt/profiles.yml` -- On Linux `/home//.dbt/profiles.yml` - -```yml -project_name: - target: dev - outputs: - dev: - api_url: https://mt-api-prod.upsolver.com - database: ... - schema: ... - threads: 1 - token: ... - type: upsolver - user: ... -``` - -### Check connection - -```sh -dbt debug -``` - -## Supported Commands - -### Supported dbt commands - -| COMMAND | STATE | -| ------ | ------ | -| docs| not supported | -| source | not supported | -| init | supported | -| clean | supported | -| debug | supported | -| deps | supported | -| list| not supported | -| ls | not supported | -| build | supported | -| snapshot | not supported | -| run | supported | -| compile | supported | -| parse | supported | -| test | not supported | -| seed | not supported | -| run-operation | supported | - -### Supported Upsolver functionality - -| COMMAND | STATE | MATERIALIZED | -| ------ | ------ | ------ | -| SQL compute cluster| not supported | - | -| SQL connections| supported | connection | -| SQL copy job | supported | incremental | -| SQL merge job | supported | incremental | -| SQL insert job | supported | incremental | -| SQL materialized views | supported | materializedview | - -## SQL connections - -Connections are used to provide Upsolver with the proper credentials to bring your data into SQLake as well as to write out your transformed data to various services. More details on ["Upsolver SQL connections"](https://docs.upsolver.com/sqlake/sql-command-reference/sql-connections) -As a dbt model connection is a model with materialized='connection' - -```sql -{{ config( - materialized='connection', - connection_type={ 'S3' | 'GLUE_CATALOG' | 'KINESIS' | 'KAFKA'| 'SNOWFLAKE' }, - connection_options={} - ) -}} -``` - -Running this model will compile CREATE CONNECTION(or ALTER CONNECTION if exists) SQL and send it to Upsolver engine. Name of the connection will be name of the model. - -## SQL copy job - -A COPY FROM job allows you to copy your data from a given source into a table created in a metastore connection. This table then serves as your staging table and can be used with SQLake transformation jobs to write to various target locations. More details on ["Upsolver SQL copy-from"](https://docs.upsolver.com/sqlake/sql-command-reference/sql-jobs/create-job/copy-from) - -As a dbt model copy job is model with materialized='incremental' - -```sql -{{ config( materialized='incremental', - sync=True|False, - source = 'S3'| 'KAFKA' | ... , - options={ - 'option_name': 'option_value' - }, - partition_by=[{}] - ) -}} -SELECT * FROM {{ ref() }} -``` - -Running this model will compile CREATE TABLE SQL(or ALTER TABLE if exists) and CREATE COPY JOB(or ALTER COPY JOB if exists) SQL and send it to Upsolver engine. Name of the table will be name of the model. Name of the job will be name of the model plus '_job' - -## SQL insert job - -An INSERT job defines a query that pulls in a set of data based on the given SELECT statement and inserts it into the designated target. This query is then run periodically based on the RUN_INTERVAL defined within the job. More details on ["Upsolver SQL insert"](https://docs.upsolver.com/sqlake/sql-command-reference/sql-jobs/create-job/sql-transformation-jobs/insert). - -As a dbt model insert job is model with materialized='incremental' and incremental_strategy='insert' - -```sql -{{ config( materialized='incremental', - sync=True|False, - map_columns_by_name=True|False, - incremental_strategy='insert', - options={ - 'option_name': 'option_value' - }, - primary_key=[{}] - ) -}} -SELECT ... -FROM {{ ref() }} -WHERE ... -GROUP BY ... -HAVING COUNT(DISTINCT orderid::string) ... -``` - -Running this model will compile CREATE TABLE SQL(or ALTER TABLE if exists) and CREATE INSERT JOB(or ALTER INSERT JOB if exists) SQL and send it to Upsolver engine. Name of the table will be name of the model. Name of the job will be name of the model plus '_job' - -## SQL merge job - -A MERGE job defines a query that pulls in a set of data based on the given SELECT statement and inserts into, replaces, or deletes the data from the designated target based on the job definition. This query is then run periodically based on the RUN_INTERVAL defined within the job. More details on ["Upsolver SQL merge"](https://docs.upsolver.com/sqlake/sql-command-reference/sql-jobs/create-job/sql-transformation-jobs/merge). - -As a dbt model merge job is model with materialized='incremental' and incremental_strategy='merge' - -```sql -{{ config( materialized='incremental', - sync=True|False, - map_columns_by_name=True|False, - incremental_strategy='merge', - options={ - 'option_name': 'option_value' - }, - primary_key=[{}] - ) -}} -SELECT ... -FROM {{ ref() }} -WHERE ... -GROUP BY ... -HAVING COUNT ... -``` - -Running this model will compile CREATE TABLE SQL(or ALTER TABLE if exists) and CREATE MERGE JOB(or ALTER MERGE JOB if exists) SQL and send it to Upsolver engine. Name of the table will be name of the model. Name of the job will be name of the model plus '_job' - -## SQL materialized views - -When transforming your data, you may find that you need data from multiple source tables in order to achieve your desired result. -In such a case, you can create a materialized view from one SQLake table in order to join it with your other table (which in this case is considered the main table). More details on ["Upsolver SQL materialized views"](https://docs.upsolver.com/sqlake/sql-command-reference/sql-jobs/create-job/sql-transformation-jobs/sql-materialized-views). - -As a dbt model materialized views is model with materialized='materializedview'. - -```sql -{{ config( materialized='materializedview', - sync=True|False, - options={'option_name': 'option_value'} - ) -}} -SELECT ... -FROM {{ ref() }} -WHERE ... -GROUP BY ... -``` - -Running this model will compile CREATE MATERIALIZED VIEW SQL(or ALTER MATERIALIZED VIEW if exists) and send it to Upsolver engine. Name of the materializedview will be name of the model. - -## Projects examples - -> projects examples link: [github.com/dbt-upsolver/examples/](https://github.com/Upsolver/dbt-upsolver/tree/main/examples) diff --git a/website/static/img/icons/upsolver.svg b/website/static/img/icons/upsolver.svg deleted file mode 100644 index 556c4bb92a1..00000000000 --- a/website/static/img/icons/upsolver.svg +++ /dev/null @@ -1,18 +0,0 @@ - - - - - - - - - - - - - - Layer 1 - - - - \ No newline at end of file diff --git a/website/static/img/icons/white/upsolver.svg b/website/static/img/icons/white/upsolver.svg deleted file mode 100644 index 556c4bb92a1..00000000000 --- a/website/static/img/icons/white/upsolver.svg +++ /dev/null @@ -1,18 +0,0 @@ - - - - - - - - - - - - - - Layer 1 - - - - \ No newline at end of file From 3671021969d7d4e5a756ff1fdb435cb37e0b85c0 Mon Sep 17 00:00:00 2001 From: Doug Beatty <44704949+dbeatty10@users.noreply.github.com> Date: Mon, 21 Aug 2023 08:38:56 -0600 Subject: [PATCH 074/486] Update page title for source configs --- website/docs/reference/source-configs.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/reference/source-configs.md b/website/docs/reference/source-configs.md index ef428f5934c..1ee2fe1daba 100644 --- a/website/docs/reference/source-configs.md +++ b/website/docs/reference/source-configs.md @@ -1,5 +1,5 @@ --- -title: "About source configurations" +title: Source configurations description: "Learn how to use source configurations in dbt." id: source-configs --- From 74a0496a7c290c4d4e4136e631a850396a384f32 Mon Sep 17 00:00:00 2001 From: Lana <100206579+Lana-hl@users.noreply.github.com> Date: Mon, 21 Aug 2023 09:25:45 -0600 Subject: [PATCH 075/486] Update cloud-seats-and-users.md confirmed the limitation of 1 seat for Team plan account here: https://dbt-labs.slack.com/archives/C016SATSSDT/p1692310687384219 posted user feedback: https://dbt-labs.slack.com/archives/C019QLR6EJE/p1692631037446059 ticket: https://dbtcloud.zendesk.com/agent/tickets/52721 --- website/docs/docs/cloud/manage-access/cloud-seats-and-users.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/manage-access/cloud-seats-and-users.md b/website/docs/docs/cloud/manage-access/cloud-seats-and-users.md index cc1ee86b380..2598afe9142 100644 --- a/website/docs/docs/cloud/manage-access/cloud-seats-and-users.md +++ b/website/docs/docs/cloud/manage-access/cloud-seats-and-users.md @@ -22,7 +22,7 @@ The user's assigned license determines the specific capabilities they can access | Use [Source Freshness](/docs/deploy/source-freshness) | ✅ | ✅ | ❌ | | Use [Docs](/docs/collaborate/build-and-view-your-docs) | ✅ | ✅ | ❌ | | Receive [Job notifications](/docs/deploy/job-notifications) | ✅ | ✅ | ✅ | -*Available on Enterprise and Team plans only and doesn't count toward seat usage. +*Available on Enterprise and Team plans only and doesn't count toward seat usage. Please note, IT seats is limited to 1 seat for a Team plan account. ## Licenses From 6cd9202e6f8ec3f1312741f9174b156d81b1eacf Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Mon, 21 Aug 2023 12:06:21 -0400 Subject: [PATCH 076/486] Update cloud-seats-and-users.md --- website/docs/docs/cloud/manage-access/cloud-seats-and-users.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/manage-access/cloud-seats-and-users.md b/website/docs/docs/cloud/manage-access/cloud-seats-and-users.md index 2598afe9142..5e320ccd6b4 100644 --- a/website/docs/docs/cloud/manage-access/cloud-seats-and-users.md +++ b/website/docs/docs/cloud/manage-access/cloud-seats-and-users.md @@ -22,7 +22,7 @@ The user's assigned license determines the specific capabilities they can access | Use [Source Freshness](/docs/deploy/source-freshness) | ✅ | ✅ | ❌ | | Use [Docs](/docs/collaborate/build-and-view-your-docs) | ✅ | ✅ | ❌ | | Receive [Job notifications](/docs/deploy/job-notifications) | ✅ | ✅ | ✅ | -*Available on Enterprise and Team plans only and doesn't count toward seat usage. Please note, IT seats is limited to 1 seat for a Team plan account. +*Available on Enterprise and Team plans only and doesn't count toward seat usage. Please note, IT seats are limited to 1 seat per Team plan account. ## Licenses From 6165293f74161a6ace8f21ca06342a732aa7765e Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Mon, 21 Aug 2023 13:05:03 -0400 Subject: [PATCH 077/486] Update cloud-seats-and-users.md Add enterprise --- website/docs/docs/cloud/manage-access/cloud-seats-and-users.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/manage-access/cloud-seats-and-users.md b/website/docs/docs/cloud/manage-access/cloud-seats-and-users.md index 5e320ccd6b4..6b68d440ba3 100644 --- a/website/docs/docs/cloud/manage-access/cloud-seats-and-users.md +++ b/website/docs/docs/cloud/manage-access/cloud-seats-and-users.md @@ -22,7 +22,7 @@ The user's assigned license determines the specific capabilities they can access | Use [Source Freshness](/docs/deploy/source-freshness) | ✅ | ✅ | ❌ | | Use [Docs](/docs/collaborate/build-and-view-your-docs) | ✅ | ✅ | ❌ | | Receive [Job notifications](/docs/deploy/job-notifications) | ✅ | ✅ | ✅ | -*Available on Enterprise and Team plans only and doesn't count toward seat usage. Please note, IT seats are limited to 1 seat per Team plan account. +*Available on Enterprise and Team plans only and doesn't count toward seat usage. Please note, IT seats are limited to 1 seat per Team or Enterprise account. ## Licenses From 321f00214bf0f2ded18842dee6458631e3b85a37 Mon Sep 17 00:00:00 2001 From: Greg McKeon Date: Mon, 21 Aug 2023 14:22:37 -0400 Subject: [PATCH 078/486] Update cloud-cli-installation.md (#3955) Added some more context for cloud cli install based on user feedback. --------- Co-authored-by: Leona B. Campbell <3880403+runleonarun@users.noreply.github.com> --- .../docs/docs/cloud/cloud-cli-installation.md | 31 ++++++++----------- 1 file changed, 13 insertions(+), 18 deletions(-) diff --git a/website/docs/docs/cloud/cloud-cli-installation.md b/website/docs/docs/cloud/cloud-cli-installation.md index 6370c7f2c31..5f03c9fca92 100644 --- a/website/docs/docs/cloud/cloud-cli-installation.md +++ b/website/docs/docs/cloud/cloud-cli-installation.md @@ -14,27 +14,20 @@ The following installation instructions are for the dbt Cloud CLI, currently in ### Install and update with Brew on MacOS (recommended) -Install the CLI: +1. Install the CLI: ```bash brew tap dbt-labs/dbt-cli brew install dbt-cloud-cli ``` -Verify the installation: +2. Verify the installation by requesting your homebrew installation path (not your dbt core installs). If the `which dbt` command returns nothing, then you should modify your PATH in `~.zshrc` or create an alias. ```bash which dbt dbt --help ``` -#### Upgrade the CLI with Brew - -```bash -brew update -brew upgrade dbt-cloud-cli -``` - ### Manually install (Windows and Linux) 1. Download the latest release for your platform from [Github](https://github.com/dbt-labs/dbt-cli/releases). @@ -79,8 +72,8 @@ Follow the same process in [Installing dbt Cloud CLI](#manually-install-windows- > $ cd ~/dbt-projects/jaffle_shop ``` -7. Ensure that a `dbt_cloud.yml` file exists in the project directory. The file is required to have a `project-id` field with a valid [project ID](#glossary): -You can find your project ID by selecting your project and clicking on **documentation** in the navigation bar. Your project ID is the number in the URL: https://cloud.getdbt.com/documentation/1/projects/{project id}. +7. Create a dbt_cloud.yml in the root project directory. The file is required to have a `project-id` field with a valid [project ID](#glossary): + ```bash > $ pwd /Users/user/dbt-projects/jaffle_shop @@ -89,14 +82,16 @@ You can find your project ID by selecting your project and clicking on **documen project-id: '123456' ``` -8. The following commands are supported as of now (we will be adding more in the future): +You can find your project ID by selecting your project and clicking on **Develop** in the navigation bar. Your project ID is the number in the URL: https://cloud.getdbt.com/develop/26228/projects/`PROJECT_ID`. -- `dbt run` -- `dbt build` -- `dbt deps` -- `dbt cancel` -- `dbt reattach` -- `dbt --help` +If dbt_cloud.yml already exists, edit the file and verify the project ID field uses a valid project ID. + +#### Upgrade the CLI with Brew + +```bash +brew update +brew upgrade dbt-cloud-cli +``` ## Using dbt Cloud CLI From 93705f6e9984ced15cbfaca82ed3400469008200 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Mon, 21 Aug 2023 14:27:04 -0400 Subject: [PATCH 079/486] Updates based on feedback --- .../collaborate/govern/model-contracts.md | 92 ++++++++++--------- 1 file changed, 49 insertions(+), 43 deletions(-) diff --git a/website/docs/docs/collaborate/govern/model-contracts.md b/website/docs/docs/collaborate/govern/model-contracts.md index c69f1ae958c..ae2dcc2b015 100644 --- a/website/docs/docs/collaborate/govern/model-contracts.md +++ b/website/docs/docs/collaborate/govern/model-contracts.md @@ -88,78 +88,84 @@ When building a model with a defined contract, dbt will do two things differentl ## Platform constraint support -Select the adapter-specific tab for more info on adapter-specific constraint support across platforms. +Select the adapter-specific tab for more info on adapter-specific constraint support across platforms. Constraints fall into three categories based on support and platform enforcement: + +- **Supported and enforced** — The model won't build if it violates the constraint. +- **Supported and not enforced** — The platform supports specifying the type of constraint, but a model can still build even if it violates it. It's a constraint for metadata purposes only. This is common for modern cloud data warehouses and less common for legacy databases. +- **Not supported and not enforced** — You can't specify the type of constraint for the platform. + + -| Constraint type | Support | -|:----------------|:-------------| -| not_null | 🌕 Supported and enforced | -| primary_key | 🌗 Supported and not enforced | -| foreign_key | 🌗 Supported and not enforced | -| unique | 🌗 Supported and not enforced | -| check | 🌑 Not supported | +| Constraint type | Support | Platform enforcement | +|:----------------|:-------------|:------------------| +| not_null | ✅ Supported | ✅ Enforced | +| primary_key | ✅ Supported | ❌ Not enforced | +| foreign_key | ✅ Supported | ❌ Not enforced | +| unique | ✅ Supported | ❌ Not enforced | +| check | ❌ Not supported | ❌ Not enforced | -| Constraint type | Support | -|:----------------|:-------------| -| not_null | 🌕 Supported and enforced | -| primary_key | 🌗 Supported and not enforced | -| foreign_key | 🌗 Supported and not enforced | -| unique | 🌗 Supported and not enforced | -| check | 🌑 Not supported | +| Constraint type | Support | Platform enforcement | +|:----------------|:-------------|:---------------------| +| not_null | ✅ Supported | ✅ Enforced | +| primary_key | ✅ Supported | ❌ Not enforced | +| foreign_key | ✅ Supported | ❌ Not enforced | +| unique | ✅ Supported | ❌ Not enforced | +| check | ❌ Not supported | ❌ Not enforced | -| Constraint type | Support | -|:-----------------|:-------------| -| not_null | 🌕 Supported and enforced | -| primary_key | 🌕 Supported and enforced | -| foreign_key | 🌕 Supported and enforced | -| unique | 🌑 Not supported | -| check | 🌑 Not supported | +| Constraint type | Support | Platform enforcement | +|:-----------------|:-------------|:---------------------| +| not_null | ✅ Supported | ✅ Enforced | +| primary_key | ✅ Supported | ✅ Enforced | +| foreign_key | ✅ Supported | ✅ Enforced | +| unique | ❌ Not supported | ❌ Not enforced | +| check | ❌ Not supported | ❌ Not enforced | -| Constraint type | Support | -|:----------------|:-------------| -| not_null | 🌕 Supported and enforced | -| primary_key | 🌕 Supported and enforced | -| foreign_key | 🌕 Supported and enforced | -| unique | 🌕 Supported and enforced | -| check | 🌕 Supported and enforced | +| Constraint type | Support | Platform enforcement | +|:----------------|:-------------|:--------------------| +| not_null | ✅ Supported | ✅ Enforced | +| primary_key | ✅ Supported | ✅ Enforced | +| foreign_key | ✅ Supported | ✅ Enforced | +| unique | ✅ Supported | ✅ Enforced | +| check | ✅ Supported | ✅ Enforced | `not_null` and `check` constraints are supported and enforced. Currently, constraints are enforced only after a model builds. Because of this platform limitation, the constraints are considered `supported` but `not enforced` and not part of the "model contract" since they can't be enforced at build time. This table will change as the features evolve. -| Constraint type | Support | -|:----------------|:------------| -| not_null | 🌗 Supported and not enforced | -| primary_key | 🌗 Supported and not enforced | -| foreign_key | 🌗 Supported and not enforced | -| unique | 🌗 Supported and not enforced | -| check | 🌗 Supported and not enforced | +| Constraint type | Support | Platform enforcement | +|:----------------|:------------|:---------------------| +| not_null | ✅ Supported | ❌ Not enforced | +| primary_key | ✅ Supported | ❌ Not enforced | +| foreign_key | ✅ Supported | ❌ Not enforced | +| unique | ✅ Supported | ❌ Not enforced | +| check | ✅ Supported | ❌ Not enforced | `not_null` and `check` constraints are supported and enforced. Currently, constraints are enforced only after a model builds. Because of this platform limitation, the constraints are considered `supported` but `not enforced` and not part of the "model contract" since they can't be enforced at build time. This table will change as the features evolve. -| Constraint type | Support | -|:----------------|:------------| -| not_null | 🌗 Supported and not enforced | -| primary_key | 🌗 Supported and not enforced | -| foreign_key | 🌗 Supported and not enforced | -| unique | 🌗 Supported and not enforced | -| check | 🌗 Supported and not enforced | +| Constraint type | Support | Platform enforcement | +|:----------------|:-------------|:---------------------| +| not_null | ✅ Supported | ❌ Not enforced | +| primary_key | ✅ Supported | ❌ Not enforced | +| foreign_key | ✅ Supported | ❌ Not enforced | +| unique | ✅ Supported | ❌ Not enforced | +| check | ✅ Supported | ❌ Not enforced | From 66a83897fbda0d3dfa785983fbe24c8bb234fdae Mon Sep 17 00:00:00 2001 From: Brian Jan Date: Mon, 21 Aug 2023 14:04:56 -0500 Subject: [PATCH 080/486] Remove redundant characters from Auth0 SSO URIs We refer to the Auth0 SSO URIs in our docs like https://YOUR_AUTH0_URI/login/callback, removing the https:// and the forward slash so customers can simply copy/paste and to minimize confusion. --- website/snippets/auth0-uri.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/website/snippets/auth0-uri.md b/website/snippets/auth0-uri.md index c6e0f48d0df..829aa310ba9 100644 --- a/website/snippets/auth0-uri.md +++ b/website/snippets/auth0-uri.md @@ -3,8 +3,8 @@ The URI used for SSO connections on multi-tenant dbt Cloud instances will vary b | Region | dbt Cloud Access URL | Auth0 SSO URI | Auth0 Entity ID * | |--------|-----------------------|-------------------------------|----------------------------------------| -| US | cloud.getdbt.com | https://auth.cloud.getdbt.com/ | us-production-mt | -| EMEA | emea.dbt.com | https://auth.emea.dbt.com/ | emea-production-mt | -| APAC | au.dbt.com | https://auth.au.dbt.com/ | au-production-mt | +| US | cloud.getdbt.com | auth.cloud.getdbt.com | us-production-mt | +| EMEA | emea.dbt.com | auth.emea.dbt.com | emea-production-mt | +| APAC | au.dbt.com | auth.au.dbt.com | au-production-mt | -*Only applicable to SAML and Okta configurations. \ No newline at end of file +*Only applicable to SAML and Okta configurations. From 4c3f8ce4ef8fa970eeae4bb7416555d556115d15 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Mon, 21 Aug 2023 15:05:01 -0400 Subject: [PATCH 081/486] Update website/docs/docs/collaborate/govern/model-contracts.md Co-authored-by: Leona B. Campbell <3880403+runleonarun@users.noreply.github.com> --- website/docs/docs/collaborate/govern/model-contracts.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/collaborate/govern/model-contracts.md b/website/docs/docs/collaborate/govern/model-contracts.md index ae2dcc2b015..bb36228e6d8 100644 --- a/website/docs/docs/collaborate/govern/model-contracts.md +++ b/website/docs/docs/collaborate/govern/model-contracts.md @@ -88,7 +88,7 @@ When building a model with a defined contract, dbt will do two things differentl ## Platform constraint support -Select the adapter-specific tab for more info on adapter-specific constraint support across platforms. Constraints fall into three categories based on support and platform enforcement: +Select the adapter-specific tab for more information on constraint support across platforms. Constraints fall into three categories based on support and platform enforcement: - **Supported and enforced** — The model won't build if it violates the constraint. - **Supported and not enforced** — The platform supports specifying the type of constraint, but a model can still build even if it violates it. It's a constraint for metadata purposes only. This is common for modern cloud data warehouses and less common for legacy databases. From 2b24edceb82b30736e407bef0b3936613eae4956 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Mon, 21 Aug 2023 15:05:18 -0400 Subject: [PATCH 082/486] Apply suggestions from code review Co-authored-by: Leona B. Campbell <3880403+runleonarun@users.noreply.github.com> --- website/docs/docs/collaborate/govern/model-contracts.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/website/docs/docs/collaborate/govern/model-contracts.md b/website/docs/docs/collaborate/govern/model-contracts.md index bb36228e6d8..1c53b7da738 100644 --- a/website/docs/docs/collaborate/govern/model-contracts.md +++ b/website/docs/docs/collaborate/govern/model-contracts.md @@ -91,7 +91,7 @@ When building a model with a defined contract, dbt will do two things differentl Select the adapter-specific tab for more information on constraint support across platforms. Constraints fall into three categories based on support and platform enforcement: - **Supported and enforced** — The model won't build if it violates the constraint. -- **Supported and not enforced** — The platform supports specifying the type of constraint, but a model can still build even if it violates it. It's a constraint for metadata purposes only. This is common for modern cloud data warehouses and less common for legacy databases. +- **Supported and not enforced** — The platform supports specifying the type of constraint, but a model can still build even if building the model violates the constraint. This constraint exists for metadata purposes only. This is common for modern cloud data warehouses and less common for legacy databases. - **Not supported and not enforced** — You can't specify the type of constraint for the platform. @@ -144,7 +144,7 @@ Select the adapter-specific tab for more information on constraint support acros -`not_null` and `check` constraints are supported and enforced. Currently, constraints are enforced only after a model builds. Because of this platform limitation, the constraints are considered `supported` but `not enforced` and not part of the "model contract" since they can't be enforced at build time. This table will change as the features evolve. +Currently, `not_null` and `check` constraints are supported and enforced only after a model builds. Because of this platform limitation, dbt considers these constraints `supported` but `not enforced`, which means they're not part of the "model contract" since these constraints can't be enforced at build time. This table will change as the features evolve. | Constraint type | Support | Platform enforcement | |:----------------|:------------|:---------------------| @@ -157,7 +157,7 @@ Select the adapter-specific tab for more information on constraint support acros -`not_null` and `check` constraints are supported and enforced. Currently, constraints are enforced only after a model builds. Because of this platform limitation, the constraints are considered `supported` but `not enforced` and not part of the "model contract" since they can't be enforced at build time. This table will change as the features evolve. +Currently, `not_null` and `check` constraints are supported and enforced only after a model builds. Because of this platform limitation, dbt considers these constraints `supported` but `not enforced`, which means they're not part of the "model contract" since these constraints can't be enforced at build time. This table will change as the features evolve. | Constraint type | Support | Platform enforcement | |:----------------|:-------------|:---------------------| From 17d98d747404e3b8c5edb8e354ec42b6348ed1bc Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Mon, 21 Aug 2023 15:20:13 -0400 Subject: [PATCH 083/486] Update website/docs/docs/collaborate/govern/model-contracts.md --- website/docs/docs/collaborate/govern/model-contracts.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/collaborate/govern/model-contracts.md b/website/docs/docs/collaborate/govern/model-contracts.md index 1c53b7da738..380da3c1b72 100644 --- a/website/docs/docs/collaborate/govern/model-contracts.md +++ b/website/docs/docs/collaborate/govern/model-contracts.md @@ -88,7 +88,7 @@ When building a model with a defined contract, dbt will do two things differentl ## Platform constraint support -Select the adapter-specific tab for more information on constraint support across platforms. Constraints fall into three categories based on support and platform enforcement: +Select the adapter-specific tab for more information on [constraint](/reference/resource-properties/constraints) support across platforms. Constraints fall into three categories based on support and platform enforcement: - **Supported and enforced** — The model won't build if it violates the constraint. - **Supported and not enforced** — The platform supports specifying the type of constraint, but a model can still build even if building the model violates the constraint. This constraint exists for metadata purposes only. This is common for modern cloud data warehouses and less common for legacy databases. From eb71772e72c71804709b8587efef8493443b24a0 Mon Sep 17 00:00:00 2001 From: allie dukuze Date: Mon, 21 Aug 2023 13:03:48 -0700 Subject: [PATCH 084/486] updating ip restriction docs --- website/docs/docs/cloud/secure/ip-restrictions.md | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/website/docs/docs/cloud/secure/ip-restrictions.md b/website/docs/docs/cloud/secure/ip-restrictions.md index dacd0c885c4..ba5fb32bdfc 100644 --- a/website/docs/docs/cloud/secure/ip-restrictions.md +++ b/website/docs/docs/cloud/secure/ip-restrictions.md @@ -19,8 +19,7 @@ To configure IP restrictions, go to **Account Settings** → **IP Restrictions** - Deny IPs flagged by the Security team - Allow only VPN traffic but make an exception for contractors’ IP addresses -IP restrictions will block all user requests done via the API (via personal user token) and the UI. Service tokens are exempt from IP restrictions and can still make requests to dbt Cloud API. - +IP restrictions will block all service tokens, user requests done via the API (via personal user token), and the UI. ### Allowing IPs To add an IP to the allowlist, from the **IP Restrictions** page: From 6bcf0c271357af139effa0847c951c8e2fcbdf19 Mon Sep 17 00:00:00 2001 From: Greg McKeon Date: Mon, 21 Aug 2023 17:13:26 -0400 Subject: [PATCH 085/486] Add venv to install instructions page (#3960) From a convo with @jtcohen6, we'd really like all of our core users to be using a virtual environment of some kind. This makes that recommendation more explicit by moving it from a collapsed tab to the install page itself. --------- Co-authored-by: Leona B. Campbell <3880403+runleonarun@users.noreply.github.com> --- website/docs/docs/core/pip-install.md | 29 ++++++++++++++++++++++++--- 1 file changed, 26 insertions(+), 3 deletions(-) diff --git a/website/docs/docs/core/pip-install.md b/website/docs/docs/core/pip-install.md index 26a15d8ad37..a35ad5f0d77 100644 --- a/website/docs/docs/core/pip-install.md +++ b/website/docs/docs/core/pip-install.md @@ -5,14 +5,37 @@ description: "You can use pip to install dbt Core and adapter plugins from the c You need to use `pip` to install dbt Core on Windows or Linux operating systems. You can use `pip` or [Homebrew](/docs/core/homebrew-install) for installing dbt Core on a MacOS. -You can install dbt Core and plugins using `pip` because they are Python modules distributed on [PyPI](https://pypi.org/project/dbt/). We recommend using virtual environments when installing with `pip`. - +You can install dbt Core and plugins using `pip` because they are Python modules distributed on [PyPI](https://pypi.org/project/dbt/). - +### Using virtual environments +We recommend using virtual environments (venv) to namespace pip modules. + +1. Create a new venv: + +```shell +python3 -m venv dbt-env # create the environment +``` + +2. Activate that same virtual environment each time you create a shell window or session: + +```shell +source dbt-env/bin/activate # activate the environment for Mac and Linux OR +dbt-env\Scripts\activate # activate the environment for Windows +``` + +#### Create an alias +To activate your dbt environment with every new shell window or session, you can create an alias for the source command in your $HOME/.bashrc, $HOME/.zshrc, or whichever config file your shell draws from. + +For example, add the following to your rc file, replacing with the path to your virtual environment configuration. + +```shell +alias env_dbt='source /bin/activate' +``` +### Installing the adapter Once you know [which adapter](/docs/supported-data-platforms) you're using, you can install it as `dbt-`. For example, if using Postgres: ```shell From 8923be584bc32062f52f160cb0d1afb71a772f9e Mon Sep 17 00:00:00 2001 From: "Leona B. Campbell" <3880403+runleonarun@users.noreply.github.com> Date: Mon, 21 Aug 2023 17:26:11 -0700 Subject: [PATCH 086/486] Update dbt-classes.md --- website/docs/reference/dbt-classes.md | 1 - 1 file changed, 1 deletion(-) diff --git a/website/docs/reference/dbt-classes.md b/website/docs/reference/dbt-classes.md index 18569fce3b0..5984826a2a2 100644 --- a/website/docs/reference/dbt-classes.md +++ b/website/docs/reference/dbt-classes.md @@ -197,7 +197,6 @@ The execution of a resource in dbt generates a `Result` object. This object cont - `thread_id`: Which thread executed this node? E.g. `Thread-1` - `execution_time`: Total time spent executing this node, measured in seconds. - `timing`: Array that breaks down execution time into steps (often `compile` + `execute`) -- `adapter_response`: Dictionary of metadata returned from the database, which varies by adapter. E.g. success `code`, number of `rows_affected`, total `bytes_processed`, etc. - `message`: How dbt will report this result on the CLI, based on information returned from the database import RowsAffected from '/snippets/_run-result.md'; From 0f1324ea4ee7931cfffc1c9e0393d64ce0297dbe Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Tue, 22 Aug 2023 07:44:49 -0400 Subject: [PATCH 087/486] Update metricflow-cli.md adding how to add dimension filter to where filter --- website/docs/docs/build/metricflow-cli.md | 45 ++++++++++++++++------- 1 file changed, 31 insertions(+), 14 deletions(-) diff --git a/website/docs/docs/build/metricflow-cli.md b/website/docs/docs/build/metricflow-cli.md index 0f90b2bb03c..681b034d828 100644 --- a/website/docs/docs/build/metricflow-cli.md +++ b/website/docs/docs/build/metricflow-cli.md @@ -140,44 +140,60 @@ Create a new query with MetricFlow, execute that query against the user's data p ```bash mf query --metrics --group-by + Options: + --metrics SEQUENCE Metrics to query for: syntax is --metrics bookings - or for multiple metrics --metrics bookings,messages + or for multiple metrics --metrics bookings, messages. + --group-by SEQUENCE Dimensions and/or entities to group by: syntax is --group-by ds or for multiple group bys --group-by - ds,org + ds, org. + --end-time TEXT Optional iso8601 timestamp to constraint the end time of the data (inclusive) + --start-time TEXT Optional iso8601 timestamp to constraint the start time of the data (inclusive) + --where TEXT SQL-like where statement provided as a string. For example: --where "revenue > 100" + To add a dimension filter to a where filter, you have to indicate that the filter item is part of your model. Reference the dimension using the following template wrapper: {{ Dimension(‘model_name1__model_name2’) }} + --limit TEXT Limit the number of rows out using an int or leave blank for no limit. For example: --limit 100 + --order SEQUENCE Metrics or group bys to order by ("-" prefix for DESC). For example: --order -ds or --order ds,-revenue + --csv FILENAME Provide filepath for data frame output to csv + --explain In the query output, show the query that was executed against the data warehouse + --show-dataflow-plan Display dataflow plan in explain output - --display-plans Display plans (e.g. metric dataflow) in the browser + + --display-plans Display plans (such as metric dataflow) in the browser + --decimals INTEGER Choose the number of decimal places to round for the numerical values + --show-sql-descriptions Shows inline descriptions of nodes in displayed SQL + --help Show this message and exit. ``` ## Query examples -The following tabs presents various different types of query examples that you can use to query metrics and dimensions. Select the tab that best suits your needs: +The following tabs present various different types of query examples that you can use to query metrics and dimensions. Select the tab that best suits your needs: -**Example 1** — Use the example to query metrics by dimension and return the `order_amount` metric by `metric_time.` +Use the example to query metrics by dimension and return the `order_amount` metric by `metric_time.` **Query** ```bash @@ -200,7 +216,7 @@ mf query --metrics order_amount --group-by metric_time -**Example 2** — You can include multiple dimensions in a query. For example, you can group by the `is_food_order` dimension to confirm if orders were for food or not. +You can include multiple dimensions in a query. For example, you can group by the `is_food_order` dimension to confirm if orders were for food or not. **Query** ```bash @@ -227,7 +243,7 @@ mf query --metrics order_amount --group-by metric_time, is_food_order -**Example 3** — You can add order and limit functions to filter and present the data in a readable format. The following query limits the data set to 10 records and orders them by `metric_time`, descending. +You can add order and limit functions to filter and present the data in a readable format. The following query limits the data set to 10 records and orders them by `metric_time`, descending. **Query** ```bash @@ -251,7 +267,7 @@ mf query --metrics order_amount --group-by metric_time,is_food_order --limit 10 -**Example 4** — You can further filter the data set by adding a `where` clause to your query. +You can further filter the data set by adding a `where` clause to your query. **Query** ```bash @@ -279,7 +295,7 @@ mf query --metrics order_amount --group-by metric_time,is_food_order --limit 10 -**Example 5** — To filter by time, there are dedicated start and end time options. Using these options to filter by time allows MetricFlow to further optimize query performance by pushing down the where filter when appropriate. +To filter by time, there are dedicated start and end time options. Using these options to filter by time allows MetricFlow to further optimize query performance by pushing down the where filter when appropriate. **Query** ```bash @@ -307,7 +323,7 @@ mf query --metrics order_amount --group-by metric_time,is_food_order --limit 10 ### Additional query examples -The following tabs presents additional query examples, like exporting to a CSV. Select the tab that best suits your needs: +The following tabs present additional query examples, like exporting to a CSV. Select the tab that best suits your needs: @@ -315,7 +331,7 @@ The following tabs presents additional query examples, like exporting to a CSV. -**Example 6** — Add `--explain` to your query to view the SQL generated by MetricFlow. +Add `--explain` to your query to view the SQL generated by MetricFlow. **Query** @@ -351,7 +367,7 @@ LIMIT 10 -**Example 7** — Add the `--csv file_name.csv` flag to export the results of your query to a csv. +Add the `--csv file_name.csv` flag to export the results of your query to a csv. **Query** @@ -369,9 +385,10 @@ mf query --metrics order_amount --group-by metric_time,is_food_order --limit 10 ## Time granularity -Optionally, you can specify the time granularity you want your data to be aggregated at by appending two underscores and the unit of granularity you want to `metric_time`, the global time dimension . You can group the granularity by: `day`, `week`, `month`, `quarter`, and `year`. +Optionally, you can specify the time granularity you want your data to be aggregated at by appending two underscores and the unit of granularity you want to `metric_time`, the global time dimension. You can group the granularity by: `day`, `week`, `month`, `quarter`, and `year`. Below is an example for querying metric data at a monthly grain: + ```bash mf query --metrics revenue --group-by metric_time__month -``` \ No newline at end of file +``` From f3b6be6a2d107f0ce6dab05b0ebad716ace58f76 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Tue, 22 Aug 2023 09:30:24 -0400 Subject: [PATCH 088/486] Update develop-in-the-cloud.md clarify why changing branches is available for saved but uncommitted code --- website/docs/docs/cloud/dbt-cloud-ide/develop-in-the-cloud.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/dbt-cloud-ide/develop-in-the-cloud.md b/website/docs/docs/cloud/dbt-cloud-ide/develop-in-the-cloud.md index b9622acbeaf..853c12b9486 100644 --- a/website/docs/docs/cloud/dbt-cloud-ide/develop-in-the-cloud.md +++ b/website/docs/docs/cloud/dbt-cloud-ide/develop-in-the-cloud.md @@ -84,7 +84,7 @@ The Cloud IDE needs explicit action to save your changes. There are three ways y - **Unsaved, local code —** The browser stores your code only in its local storage. In this state, you might need to commit any unsaved changes in order to switch branches or browsers. If you have saved and committed changes, you can access the "Change branch" option even if there are unsaved changes. But if you attempt to switch branches without saving changes, a warning message will appear, notifying you that you will lose any unsaved changes. -- **Saved but uncommitted code —** When you save a file, the data gets stored in durable, long-term storage. To access the Change branch option, you must "Commit and sync" or "Revert" changes - changing branches isn't available for saved-but-uncommitted code. +- **Saved but uncommitted code —** When you save a file, the data gets stored in durable, long-term storage. To access the Change branch option, you must "Commit and sync" or "Revert" changes. To ensure your uncommitted changes don't get lost, changing branches isn't available for saved-but-uncommitted code. This is because the state hasn’t been synced back to git. - **Committed code —** This is stored in the branch with your git provider and you can check out other (remote) branches. ## Access the Cloud IDE From f2ba98dbd805d3f40a91cb5289ed638d95ad1de4 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Tue, 22 Aug 2023 09:39:22 -0400 Subject: [PATCH 089/486] Update website/docs/docs/cloud/dbt-cloud-ide/develop-in-the-cloud.md --- website/docs/docs/cloud/dbt-cloud-ide/develop-in-the-cloud.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/dbt-cloud-ide/develop-in-the-cloud.md b/website/docs/docs/cloud/dbt-cloud-ide/develop-in-the-cloud.md index 853c12b9486..f738dc78d26 100644 --- a/website/docs/docs/cloud/dbt-cloud-ide/develop-in-the-cloud.md +++ b/website/docs/docs/cloud/dbt-cloud-ide/develop-in-the-cloud.md @@ -84,7 +84,7 @@ The Cloud IDE needs explicit action to save your changes. There are three ways y - **Unsaved, local code —** The browser stores your code only in its local storage. In this state, you might need to commit any unsaved changes in order to switch branches or browsers. If you have saved and committed changes, you can access the "Change branch" option even if there are unsaved changes. But if you attempt to switch branches without saving changes, a warning message will appear, notifying you that you will lose any unsaved changes. -- **Saved but uncommitted code —** When you save a file, the data gets stored in durable, long-term storage. To access the Change branch option, you must "Commit and sync" or "Revert" changes. To ensure your uncommitted changes don't get lost, changing branches isn't available for saved-but-uncommitted code. This is because the state hasn’t been synced back to git. +- **Saved but uncommitted code —** When you save a file, the data gets stored in durable, long-term storage, but isn't synced back to git. To switch branches using the **Change branch** option, you must "Commit and sync" or "Revert" changes. Changing branches isn't available for saved-but-uncommitted code. This is to ensure your uncommitted changes don't get lost. - **Committed code —** This is stored in the branch with your git provider and you can check out other (remote) branches. ## Access the Cloud IDE From cbad4895f93b7cdff2db18bd005160e379228e2f Mon Sep 17 00:00:00 2001 From: john-rock Date: Tue, 22 Aug 2023 10:14:28 -0400 Subject: [PATCH 090/486] add redirects --- vercel.json | 3999 +++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 3999 insertions(+) create mode 100644 vercel.json diff --git a/vercel.json b/vercel.json new file mode 100644 index 00000000000..4a0dd848256 --- /dev/null +++ b/vercel.json @@ -0,0 +1,3999 @@ +{ +"redirects": [ + { + "source": "/docs/deploy/job-triggers", + "destination": "/docs/deploy/deploy-jobs", + "permanent": true + }, + { + "source": "/docs/deploy/job-settings", + "destination": "/docs/deploy/deploy-jobs", + "permanent": true + }, + { + "source": "/docs/deploy/dbt-cloud-job", + "destination": "/docs/deploy/deploy-jobs", + 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"/website/docs/docs/contributing/building-a-new-adapter.md", + "destination": "/guides/dbt-ecosystem/adapter-development/3-building-a-new-adapter", + "permanent": true + }, + { + "source": "/guides/legacy/getting-help", + "destination": "/community/resources/getting-help", + "permanent": true + }, + { + "source": "/blog/tags/release-notes", + "destination": "/docs/dbt-versions/dbt-cloud-release-notes", + "permanent": true + }, + { + "source": "/faqs/dbt-jinja-functions", + "destination": "/reference/dbt-jinja-functions", + "permanent": true + }, + { + "source": "/website/docs/docs/contributing/documenting-a-new-adapter.md", + "destination": "/guides/dbt-ecosystem/adapter-development/5-documenting-a-new-adapter", + "permanent": true + }, + { + "source": "/docs/docs/contributing/documenting-a-new-adapter", + "destination": "/docs/contributing/documenting-a-new-adapter", + "permanent": true + }, + { + "source": "/v0.8/reference", + "destination": "/", + "permanent": true + }, + { + "source": "/v0.10/reference", + "destination": "/", + "permanent": true + }, + { + "source": "/v0.12/reference", + "destination": "/", + "permanent": true + }, + { + "source": "/v0.13/reference", + "destination": "/", + "permanent": true + }, + { + "source": "/v0.13/docs/requiring-dbt-versions", + "destination": "/", + "permanent": true + }, + { + "source": "/v0.14/docs/cloud-developer-ide", + "destination": "/", + "permanent": true + }, + { + "source": "/v0.15/docs/cloud-import-a-project-by-git-url", + "destination": "/docs/cloud/git/import-a-project-by-git-url", + "permanent": true + }, + { + "source": "/v0.15/docs/configure-your-profile", + "destination": "/docs/core/connection-profiles", + "permanent": true + }, + { + "source": "/docs/dbt-cloud/on-premises/dependencies", + "destination": "/docs/deploy/single-tenant", + "permanent": true + }, + { + "source": "/docs/dbt-cloud/on-premises/faqs", + "destination": "/docs/deploy/single-tenant", + "permanent": true + }, + { + "source": "/docs/dbt-cloud/on-premises/index", + "destination": "/docs/deploy/single-tenant", + "permanent": true + }, + { + "source": "/docs/dbt-cloud/on-premises/installation", + "destination": "/docs/deploy/single-tenant", + "permanent": true + }, + { + "source": "/docs/dbt-cloud/on-premises/prerequisites", + "destination": "/docs/deploy/single-tenant", + "permanent": true + }, + { + "source": "/docs/dbt-cloud/on-premises/setup", + "destination": "/docs/deploy/single-tenant", + "permanent": true + }, + { + "source": "/docs/dbt-cloud/on-premises/system-requirements", + "destination": "/docs/deploy/single-tenant", + "permanent": true + }, + { + "source": "/docs/dbt-cloud/on-premises/upgrading-kots", + "destination": "/docs/deploy/single-tenant", + "permanent": true + } + ] +} From 2a1f99ab990c875cd810d068a862e29779c7912a Mon Sep 17 00:00:00 2001 From: john-rock Date: Tue, 22 Aug 2023 10:21:30 -0400 Subject: [PATCH 091/486] fix redirect --- vercel.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/vercel.json b/vercel.json index 4a0dd848256..9160a17a714 100644 --- a/vercel.json +++ b/vercel.json @@ -1711,7 +1711,7 @@ "permanent": true }, { - "source": "/useful*components", + "source": "/((?!useful).*components)", "destination": "https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/adding-page-components.md", "permanent": true }, From fad2ee502a149ecf7e50e395856f471667ca8393 Mon Sep 17 00:00:00 2001 From: john-rock Date: Tue, 22 Aug 2023 10:26:53 -0400 Subject: [PATCH 092/486] fix slug syntax --- vercel.json | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/vercel.json b/vercel.json index 9160a17a714..e51c753c4cb 100644 --- a/vercel.json +++ b/vercel.json @@ -3321,7 +3321,7 @@ "permanent": true }, { - "source": "/faqs/_", + "source": "/faqs/:slug", "destination": "/docs/faqs/:slug*", "permanent": true }, @@ -3331,17 +3331,17 @@ "permanent": true }, { - "source": "/tutorial/learning-more/_", + "source": "/tutorial/learning-more/:slug", "destination": "/guides/getting-started/learning-more/:slug*", "permanent": true }, { - "source": "/tutorial/getting-set-up/\\_", + "source": "/tutorial/getting-set-up/:slug", "destination": "/guides/getting-started/getting-set-up/:slug*", "permanent": true }, { - "source": "/tutorial/building-your-first-project/\\*", + "source": "/tutorial/building-your-first-project/:slug", "destination": "/guides/getting-started/building-your-first-project/:slug*", "permanent": true }, @@ -3501,12 +3501,12 @@ "permanent": true }, { - "source": "/docs/guides/migration-guide/_", + "source": "/docs/guides/migration-guide/:slug", "destination": "/guides/migration/versions/:slug*", "permanent": true }, { - "source": "/docs/guides/_", + "source": "/docs/guides/:slug", "destination": "/guides/legacy/:slug*", "permanent": true }, From e771681f0ec341f38989a3012c6268dcc9c3ca9c Mon Sep 17 00:00:00 2001 From: john-rock Date: Tue, 22 Aug 2023 10:36:04 -0400 Subject: [PATCH 093/486] trigger rebuild From 9106f4b2e5dc11184db08e87d8b8eb12038dd085 Mon Sep 17 00:00:00 2001 From: john-rock Date: Tue, 22 Aug 2023 10:53:48 -0400 Subject: [PATCH 094/486] move vercel redirect into static --- vercel.json => website/static/vercel.json | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename vercel.json => website/static/vercel.json (100%) diff --git a/vercel.json b/website/static/vercel.json similarity index 100% rename from vercel.json rename to website/static/vercel.json From 6a690050c7c09f44f985ee14d9f54e078361a2d4 Mon Sep 17 00:00:00 2001 From: john-rock Date: Tue, 22 Aug 2023 11:04:26 -0400 Subject: [PATCH 095/486] move into website dir --- website/{static => }/vercel.json | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename website/{static => }/vercel.json (100%) diff --git a/website/static/vercel.json b/website/vercel.json similarity index 100% rename from website/static/vercel.json rename to website/vercel.json From dd4116b15aea25264ea9ce9c91d1bc7cc32624c6 Mon Sep 17 00:00:00 2001 From: john-rock Date: Tue, 22 Aug 2023 11:15:35 -0400 Subject: [PATCH 096/486] add reqwrites --- website/vercel.json | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/website/vercel.json b/website/vercel.json index e51c753c4cb..855f755dd2e 100644 --- a/website/vercel.json +++ b/website/vercel.json @@ -1,5 +1,6 @@ { -"redirects": [ + "rewrites": [{ "source": "/(.*)", "destination": "/" }], + "redirects": [ { "source": "/docs/deploy/job-triggers", "destination": "/docs/deploy/deploy-jobs", From 30d6084e1d5f5d25a338cfc07368ca49db614f96 Mon Sep 17 00:00:00 2001 From: john-rock Date: Tue, 22 Aug 2023 11:21:54 -0400 Subject: [PATCH 097/486] try route setting --- website/vercel.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/vercel.json b/website/vercel.json index 855f755dd2e..ef7fe1529c0 100644 --- a/website/vercel.json +++ b/website/vercel.json @@ -1,5 +1,5 @@ { - "rewrites": [{ "source": "/(.*)", "destination": "/" }], + "routes": [{ "src": "/[^.]+", "dest": "/", "status": 200 }], "redirects": [ { "source": "/docs/deploy/job-triggers", From 5a249832c71635bfad85e022da06ce047449edfe Mon Sep 17 00:00:00 2001 From: john-rock Date: Tue, 22 Aug 2023 11:26:58 -0400 Subject: [PATCH 098/486] adjust trailing slash --- website/docusaurus.config.js | 2 +- website/vercel.json | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/website/docusaurus.config.js b/website/docusaurus.config.js index 24030624290..56e7c3c679b 100644 --- a/website/docusaurus.config.js +++ b/website/docusaurus.config.js @@ -46,7 +46,7 @@ var siteSettings = { url: SITE_URL, onBrokenLinks: "throw", onBrokenMarkdownLinks: "throw", - trailingSlash: false, + trailingSlash: true, themeConfig: { docs:{ sidebar: { diff --git a/website/vercel.json b/website/vercel.json index ef7fe1529c0..855f755dd2e 100644 --- a/website/vercel.json +++ b/website/vercel.json @@ -1,5 +1,5 @@ { - "routes": [{ "src": "/[^.]+", "dest": "/", "status": 200 }], + "rewrites": [{ "source": "/(.*)", "destination": "/" }], "redirects": [ { "source": "/docs/deploy/job-triggers", From bda98eb22f3a2c05154971d1e7eeb9cf061a8b86 Mon Sep 17 00:00:00 2001 From: john-rock Date: Tue, 22 Aug 2023 11:30:20 -0400 Subject: [PATCH 099/486] remove rewrites --- website/vercel.json | 1 - 1 file changed, 1 deletion(-) diff --git a/website/vercel.json b/website/vercel.json index 855f755dd2e..f1de02df6cc 100644 --- a/website/vercel.json +++ b/website/vercel.json @@ -1,5 +1,4 @@ { - "rewrites": [{ "source": "/(.*)", "destination": "/" }], "redirects": [ { "source": "/docs/deploy/job-triggers", From 5679129b460df77482eabe17e6df169ad4a56203 Mon Sep 17 00:00:00 2001 From: john-rock Date: Tue, 22 Aug 2023 11:38:45 -0400 Subject: [PATCH 100/486] add trailing slash back --- website/docusaurus.config.js | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docusaurus.config.js b/website/docusaurus.config.js index 56e7c3c679b..24030624290 100644 --- a/website/docusaurus.config.js +++ b/website/docusaurus.config.js @@ -46,7 +46,7 @@ var siteSettings = { url: SITE_URL, onBrokenLinks: "throw", onBrokenMarkdownLinks: "throw", - trailingSlash: true, + trailingSlash: false, themeConfig: { docs:{ sidebar: { From bc9cd3d9f845326951c9ba4535d604dbe2b95beb Mon Sep 17 00:00:00 2001 From: john-rock Date: Tue, 22 Aug 2023 11:48:25 -0400 Subject: [PATCH 101/486] rewrite adjustment --- website/vercel.json | 2 ++ 1 file changed, 2 insertions(+) diff --git a/website/vercel.json b/website/vercel.json index f1de02df6cc..2ddbe7d706e 100644 --- a/website/vercel.json +++ b/website/vercel.json @@ -1,4 +1,6 @@ { + "trailingSlash": false, + "rewrites": [{ "source": "/[^.]+", "destination": "/" }], "redirects": [ { "source": "/docs/deploy/job-triggers", From a950b5fc30a75e4d2c30ac9791ee2e7800ffba60 Mon Sep 17 00:00:00 2001 From: john-rock Date: Tue, 22 Aug 2023 11:49:51 -0400 Subject: [PATCH 102/486] try clean urls --- website/vercel.json | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/website/vercel.json b/website/vercel.json index 2ddbe7d706e..833588fca51 100644 --- a/website/vercel.json +++ b/website/vercel.json @@ -1,6 +1,5 @@ { - "trailingSlash": false, - "rewrites": [{ "source": "/[^.]+", "destination": "/" }], + "cleanUrls": true, "redirects": [ { "source": "/docs/deploy/job-triggers", From 9081ef1a582e54ccb2f86fecea209b72efedf251 Mon Sep 17 00:00:00 2001 From: john-rock Date: Tue, 22 Aug 2023 12:41:18 -0400 Subject: [PATCH 103/486] try notification settings From cc5ed7d6ab3c0088a49124829a69dc870e29beb1 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Tue, 22 Aug 2023 12:44:33 -0400 Subject: [PATCH 104/486] Update metricflow-cli.md add template wrapper. setup instructions --- website/docs/docs/build/metricflow-cli.md | 69 ++++++++++++++++++----- 1 file changed, 54 insertions(+), 15 deletions(-) diff --git a/website/docs/docs/build/metricflow-cli.md b/website/docs/docs/build/metricflow-cli.md index 681b034d828..93116b104c0 100644 --- a/website/docs/docs/build/metricflow-cli.md +++ b/website/docs/docs/build/metricflow-cli.md @@ -158,7 +158,7 @@ Options: --where TEXT SQL-like where statement provided as a string. For example: --where "revenue > 100" - To add a dimension filter to a where filter, you have to indicate that the filter item is part of your model. Reference the dimension using the following template wrapper: {{ Dimension(‘model_name1__model_name2’) }} + To add a dimension filter to a where filter, you have to indicate that the filter item is part of your model. Reference the [FAQ] for more info on how to do this using a template wrapper. --limit TEXT Limit the number of rows out using an int or leave blank for no limit. For example: --limit 100 @@ -193,17 +193,17 @@ The following tabs present various different types of query examples that you ca -Use the example to query metrics by dimension and return the `order_amount` metric by `metric_time.` +Use the example to query metrics by dimension and return the `order_total` metric by `metric_time.` **Query** ```bash -mf query --metrics order_amount --group-by metric_time +mf query --metrics order_total --group-by metric_time ``` **Result** ```bash ✔ Success 🦄 - query completed after 1.24 seconds -| METRIC_TIME | ORDER_AMOUNT | +| METRIC_TIME | ORDER_TOTAL | |:--------------|---------------:| | 2017-06-16 | 792.17 | | 2017-06-17 | 458.35 | @@ -220,13 +220,13 @@ You can include multiple dimensions in a query. For example, you can group by th **Query** ```bash -mf query --metrics order_amount --group-by metric_time, is_food_order +mf query --metrics order_total --group-by metric_time, is_food_order ``` **Result** ```bash Success 🦄 - query completed after 1.70 seconds -| METRIC_TIME | IS_FOOD_ORDER | ORDER_AMOUNT | +| METRIC_TIME | IS_FOOD_ORDER | ORDER_TOTAL | |:--------------|:----------------|---------------:| | 2017-06-16 | True | 499.27 | | 2017-06-16 | False | 292.90 | @@ -247,13 +247,13 @@ You can add order and limit functions to filter and present the data in a readab **Query** ```bash -mf query --metrics order_amount --group-by metric_time,is_food_order --limit 10 --order -metric_time +mf query --metrics order_total --group-by metric_time,is_food_order --limit 10 --order -metric_time ``` **Result** ```bash ✔ Success 🦄 - query completed after 1.41 seconds -| METRIC_TIME | IS_FOOD_ORDER | ORDER_AMOUNT | +| METRIC_TIME | IS_FOOD_ORDER | ORDER_TOTAL | |:--------------|:----------------|---------------:| | 2017-08-31 | True | 459.90 | | 2017-08-31 | False | 327.08 | @@ -270,14 +270,15 @@ mf query --metrics order_amount --group-by metric_time,is_food_order --limit 10 You can further filter the data set by adding a `where` clause to your query. **Query** + ```bash - mf query --metrics order_amount --group-by metric_time,is_food_order --limit 10 --order -metric_time --where "is_food_order = True" +mf query --metrics order_total --group-by metric_time --where "{{Dimension('order_id__is_food_order')}} = True" ``` **Result** ```bash ✔ Success 🦄 - query completed after 1.06 seconds -| METRIC_TIME | IS_FOOD_ORDER | ORDER_AMOUNT | +| METRIC_TIME | IS_FOOD_ORDER | ORDER_TOTAL | |:--------------|:----------------|---------------:| | 2017-08-31 | True | 459.90 | | 2017-08-30 | True | 448.18 | @@ -299,13 +300,13 @@ To filter by time, there are dedicated start and end time options. Using these o **Query** ```bash - mf query --metrics order_amount --group-by metric_time,is_food_order --limit 10 --order -metric_time --where "is_food_order = True" --start-time '2017-08-22' --end-time '2017-08-27' + mf query --metrics order_total --group-by metric_time,is_food_order --limit 10 --order -metric_time --where "is_food_order = True" --start-time '2017-08-22' --end-time '2017-08-27' ``` **Result** ```bash ✔ Success 🦄 - query completed after 1.53 seconds -| METRIC_TIME | IS_FOOD_ORDER | ORDER_AMOUNT | +| METRIC_TIME | IS_FOOD_ORDER | ORDER_TOTAL | |:--------------|:----------------|---------------:| | 2017-08-27 | True | 568.92 | | 2017-08-26 | True | 471.95 | @@ -336,7 +337,7 @@ Add `--explain` to your query to view the SQL generated by MetricFlow. **Query** ```bash - mf query --metrics order_amount --group-by metric_time,is_food_order --limit 10 --order -metric_time --where "is_food_order = True" --start-time '2017-08-22' --end-time '2017-08-27' --explain + mf query --metrics order_total --group-by metric_time,is_food_order --limit 10 --order -metric_time --where "is_food_order = True" --start-time '2017-08-22' --end-time '2017-08-27' --explain ``` **Result** @@ -346,7 +347,7 @@ Add `--explain` to your query to view the SQL generated by MetricFlow. SELECT metric_time , is_food_order - , SUM(order_cost) AS order_amount + , SUM(order_cost) AS order_total FROM ( SELECT cast(ordered_at as date) AS metric_time @@ -372,7 +373,7 @@ Add the `--csv file_name.csv` flag to export the results of your query to a csv. **Query** ```bash -mf query --metrics order_amount --group-by metric_time,is_food_order --limit 10 --order -metric_time --where "is_food_order = True" --start-time '2017-08-22' --end-time '2017-08-27' --csv query_example.csv +mf query --metrics order_total --group-by metric_time,is_food_order --limit 10 --order -metric_time --where "is_food_order = True" --start-time '2017-08-22' --end-time '2017-08-27' --csv query_example.csv ``` **Result** @@ -385,6 +386,7 @@ mf query --metrics order_amount --group-by metric_time,is_food_order --limit 10 ## Time granularity + Optionally, you can specify the time granularity you want your data to be aggregated at by appending two underscores and the unit of granularity you want to `metric_time`, the global time dimension. You can group the granularity by: `day`, `week`, `month`, `quarter`, and `year`. Below is an example for querying metric data at a monthly grain: @@ -392,3 +394,40 @@ Below is an example for querying metric data at a monthly grain: ```bash mf query --metrics revenue --group-by metric_time__month ``` + +## FAQs + +- How can I add a dimension filter to a where filter? + You have to indicate that the filter item is part of your model and use a template wrapper: `{{ Dimension(‘model_name1__model_name2’) }}`. For example, `mf query --metrics order_total --group-by metric_time --where "{{Dimension('order_id__is_food_order')}} = True"` + +Before using the template wrapper, however, you will need to set up your terminal to escape curly braces {} for the filter template to work. + +
How to set up your terminal to escape curly braces?
+ + To configure your `.zshrc` profile to escape curly braces, you can use the `setopt` command to enable the `BRACECCL` option. This option will cause the shell to treat curly braces as literals and prevent brace expansion. Refer to the following steps to set it up: + +1. Open your terminal. +2. Open your `.zshrc` file using a text editor like `nano`, `vim`, or any other text editor you prefer. You can use the following command to open it with `nano`: + +```bash +nano ~/.zshrc +``` +3. Add the following line to the file: + +```bash +setopt BRACECCL +``` +4. Save and exit the text editor (in `nano`, press Ctrl + O to save, and Ctrl + X to exit). + +5. Source your `.zshrc` file to apply the changes: + +```bash +source ~/.zshrc +``` + +6. After making these changes, your Zsh shell will treat curly braces as literal characters and will not perform brace expansion. This means that you can use curly braces without worrying about unintended expansions. + +Keep in mind that modifying your shell configuration files can have an impact on how your shell behaves. If you're not familiar with shell configuration, it's a good idea to make a backup of your `.zshrc` file before making any changes. If you encounter any issues or unexpected behavior, you can revert to the backup. + + + From 7d8839bfb3d0904a7c26d2b6be79a644f69af5b9 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Tue, 22 Aug 2023 12:45:21 -0400 Subject: [PATCH 105/486] Update metricflow-cli.md --- website/docs/docs/build/metricflow-cli.md | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/website/docs/docs/build/metricflow-cli.md b/website/docs/docs/build/metricflow-cli.md index 93116b104c0..42ef91e3533 100644 --- a/website/docs/docs/build/metricflow-cli.md +++ b/website/docs/docs/build/metricflow-cli.md @@ -402,7 +402,7 @@ mf query --metrics revenue --group-by metric_time__month Before using the template wrapper, however, you will need to set up your terminal to escape curly braces {} for the filter template to work. -
How to set up your terminal to escape curly braces?
+
How to set up your terminal to escape curly braces? To configure your `.zshrc` profile to escape curly braces, you can use the `setopt` command to enable the `BRACECCL` option. This option will cause the shell to treat curly braces as literals and prevent brace expansion. Refer to the following steps to set it up: @@ -428,6 +428,7 @@ source ~/.zshrc 6. After making these changes, your Zsh shell will treat curly braces as literal characters and will not perform brace expansion. This means that you can use curly braces without worrying about unintended expansions. Keep in mind that modifying your shell configuration files can have an impact on how your shell behaves. If you're not familiar with shell configuration, it's a good idea to make a backup of your `.zshrc` file before making any changes. If you encounter any issues or unexpected behavior, you can revert to the backup. - + +
From 25a76e4eac0942c2e17c52db5093eb27030f954d Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Tue, 22 Aug 2023 12:46:33 -0400 Subject: [PATCH 106/486] Update metricflow-cli.md move summary --- website/docs/docs/build/metricflow-cli.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/website/docs/docs/build/metricflow-cli.md b/website/docs/docs/build/metricflow-cli.md index 42ef91e3533..c7afa337027 100644 --- a/website/docs/docs/build/metricflow-cli.md +++ b/website/docs/docs/build/metricflow-cli.md @@ -402,8 +402,8 @@ mf query --metrics revenue --group-by metric_time__month Before using the template wrapper, however, you will need to set up your terminal to escape curly braces {} for the filter template to work. -
How to set up your terminal to escape curly braces? - +
+How to set up your terminal to escape curly braces? To configure your `.zshrc` profile to escape curly braces, you can use the `setopt` command to enable the `BRACECCL` option. This option will cause the shell to treat curly braces as literals and prevent brace expansion. Refer to the following steps to set it up: 1. Open your terminal. @@ -429,6 +429,6 @@ source ~/.zshrc Keep in mind that modifying your shell configuration files can have an impact on how your shell behaves. If you're not familiar with shell configuration, it's a good idea to make a backup of your `.zshrc` file before making any changes. If you encounter any issues or unexpected behavior, you can revert to the backup. -
 +
From 48338f500c4a334a0bb217e41833e49fa3d3429d Mon Sep 17 00:00:00 2001 From: john-rock Date: Tue, 22 Aug 2023 13:02:44 -0400 Subject: [PATCH 107/486] add comment for test --- website/docusaurus.config.js | 2 ++ 1 file changed, 2 insertions(+) diff --git a/website/docusaurus.config.js b/website/docusaurus.config.js index 24030624290..efe0aed5134 100644 --- a/website/docusaurus.config.js +++ b/website/docusaurus.config.js @@ -300,4 +300,6 @@ if (versions) { }); } +// Test comment + module.exports = siteSettings; From ba499984e8bceaef6cb8c52d1c3d7af73a238b83 Mon Sep 17 00:00:00 2001 From: john-rock Date: Tue, 22 Aug 2023 13:24:30 -0400 Subject: [PATCH 108/486] remove comment --- website/docusaurus.config.js | 2 -- 1 file changed, 2 deletions(-) diff --git a/website/docusaurus.config.js b/website/docusaurus.config.js index efe0aed5134..24030624290 100644 --- a/website/docusaurus.config.js +++ b/website/docusaurus.config.js @@ -300,6 +300,4 @@ if (versions) { }); } -// Test comment - module.exports = siteSettings; From ff2754e1d76b80e0c95ae609102ed294f05d13c0 Mon Sep 17 00:00:00 2001 From: john-rock Date: Tue, 22 Aug 2023 13:41:09 -0400 Subject: [PATCH 109/486] adjust function endpoint --- website/api/get-discourse-comments.js | 180 ++++++++++++++++++ website/api/get-discourse-topics.js | 148 ++++++++++++++ website/src/components/discourse/index.js | 8 +- .../components/discourseBlogComments/index.js | 8 +- 4 files changed, 336 insertions(+), 8 deletions(-) create mode 100644 website/api/get-discourse-comments.js create mode 100644 website/api/get-discourse-topics.js diff --git a/website/api/get-discourse-comments.js b/website/api/get-discourse-comments.js new file mode 100644 index 00000000000..a309c30ef63 --- /dev/null +++ b/website/api/get-discourse-comments.js @@ -0,0 +1,180 @@ +const axios = require('axios') +require("dotenv").config(); + +const { DISCOURSE_DEVBLOG_API_KEY , DISCOURSE_USER_SYSTEM } = process.env +const DEVBLOG_PROD_URL = 'https://docs.getdbt.com/blog/' +const DEV_ENV = 'dev-' +const PREVIEW_ENV = 'deploy-preview-' + +// Set API endpoint and headers +let discourse_endpoint = `https://discourse.getdbt.com` +let headers = { + 'Accept': 'application/json', + 'Api-Key': DISCOURSE_DEVBLOG_API_KEY, + 'Api-Username': DISCOURSE_USER_SYSTEM, +} + +async function getDiscourseComments(event) { + let topicId, comments, DISCOURSE_TOPIC_ID; + + const blogUrl = await getBlogUrl(event) + + if (blogUrl === DEVBLOG_PROD_URL) { + DISCOURSE_TOPIC_ID = 21 + } else { + DISCOURSE_TOPIC_ID = 2 + } + + try { + const env = + blogUrl === DEVBLOG_PROD_URL + ? "" + : blogUrl.includes("localhost") + ? DEV_ENV + : PREVIEW_ENV; + const postTitle = `${env}${event.queryStringParameters.title}`; + const postSlug = event.queryStringParameters.slug; + const cleanSlug = cleanUrl(postSlug); + const externalId = truncateString(`${env}${cleanSlug}`); + + console.table({ + blogUrl, + postTitle, + postSlug, + cleanSlug, + externalId, + }); + + + if (!postSlug) throw new Error("Unable to query Discourse API. Error reading slug."); + + topicId = await searchDiscourseExternalId(externalId); + + // First check if the dev blog post exists in Discourse + // Get the comments if it does + if (typeof topicId === "number") { + comments = await getDiscourseTopicbyID(topicId); + } else { + // If the dev blog post does not exist in Discourse + // Create a new topic and get the comments + topicId = await createDiscourseTopic(postTitle, externalId, cleanSlug, blogUrl, DISCOURSE_TOPIC_ID); + if (typeof topicId === "number") { + comments = await getDiscourseTopicbyID(topicId); + comments.shift(); + comments = { topicId, comments }; + + return await returnResponse(200, comments); + } else { + return await returnResponse(500, { + error: "Unable to create Discourse topic TopicID is not a number.", + }); + } + } + + comments.shift(); + comments = { topicId, comments }; + + return await returnResponse(200, comments); + } catch (err) { + console.log("err", err); + return await returnResponse(500, {error: "Unable to get topics from Discourse."}); + } +} + +async function createDiscourseTopic(title, externalId, slug, blogUrl, DISCOURSE_TOPIC_ID) { + console.log(`No topics found. Creating a new topic in Discourse - ${title}`) + try { + const response = await axios.post(`${discourse_endpoint}/posts`, { + title: title, + raw: `This is a companion discussion topic for the original entry at ${blogUrl}${slug}`, + category: DISCOURSE_TOPIC_ID, + embed_url: `${blogUrl}${slug}`, + external_id: externalId, + tags: ['devblog'], + visible: false + }, { headers }) + + let topicId = await response.data.topic_id + + console.log('Topic successfully created with topic_id', topicId) + + return topicId + + } catch(err) { + console.log('err', err.response) + return await returnResponse(500, { error: 'Unable to create Discourse topic.'}) + } +} + +async function getDiscourseTopicbyID(topicId) { + console.log(`Topic found setting topic id - ${topicId}`) + try { + let response = await axios.get(`${discourse_endpoint}/t/${topicId}.json`, { headers }) + let { data } = await response + let post_stream = data.post_stream + let post_count = data.posts_count + + // If there is more than one comment make the topic visibile in Discourse + if (post_count > 1 && data.visible === false) { + console.log(`Topic has more than one comment. Changing visibility to visible.`) + await axios.put(`${discourse_endpoint}/t/${topicId}`, { + visible: true + }, { headers }) + } + + // Filter only 'regular' posts in Discourse. (e.g. not moderator actions, small_actions, whispers) + post_stream.posts = post_stream.posts.filter(post => post.post_type === 1) + + return post_stream.posts + } catch(err) { + console.log('err', err.response) + return await returnResponse(500, { error: 'Unable to get Discourse topic by ID.'}) + } +} + +async function searchDiscourseExternalId(externalId) { + console.log(`Searching for external_id in Discourse - ${externalId}`); + try { + const data = await axios.get(`${discourse_endpoint}/t/external_id/${externalId}.json`, { headers }); + return data.data.id; + } catch (err) { + return await returnResponse(500, { error: 'Unable to search Discourse topics.' }); + } +} + +async function returnResponse(status, res) { + const headers = { + 'Content-Type': 'application/json', + 'Access-Control-Allow-Origin': '*', + 'Access-Control-Allow-Headers': '*', + 'Access-Control-Allow-Methods': 'POST, OPTIONS, GET' + } + const resObj = { + statusCode: status, + headers, + body: JSON.stringify(res) + } + return resObj +} + +// Truncate external_id to 50 characters per Discourse API requirements +function truncateString(str) { + if (str.length <= 50) { + return str + } + return str.slice(0, 50) +} + +// Remove query params and hash from URL to prevent duplicate topics +function cleanUrl(url) { + return url.split("?")[0].split("#")[0]; +} + +// Create a function to get the host name from the request and add /blog/ to the end +async function getBlogUrl(request) { + const host = request.headers.host + return `https://${host}/blog/` +} + + +exports.handler = getDiscourseComments diff --git a/website/api/get-discourse-topics.js b/website/api/get-discourse-topics.js new file mode 100644 index 00000000000..9e20020ec97 --- /dev/null +++ b/website/api/get-discourse-topics.js @@ -0,0 +1,148 @@ +const axios = require('axios') + +async function getDiscourseTopics({ body }) { + const { DISCOURSE_API_KEY , DISCOURSE_USER } = process.env + + try { + // Set API endpoint and headers + let discourse_endpoint = `https://discourse.getdbt.com` + let headers = { + 'Accept': 'application/json', + 'Api-Key': DISCOURSE_API_KEY, + 'Api-Username': DISCOURSE_USER, + } + + const query = buildQueryString(body) + if(!query) throw new Error('Unable to build query string.') + + // Get topics from Discourse + let { data: { posts, topics } } = await axios.get(`${discourse_endpoint}/search?q=${query}`, { headers }) + + // Return empty array if no topics found for search query + // 200 status is used to prevent triggering Datadog alerts + if(!topics || topics?.length <= 0) { + // Log message with encoded query and end function + console.log('Unable to get results from api request.') + console.log(`Search query: ${query}`) + return returnResponse(200, []) + } + + // Set author and like_count for topics if not querying by specific term + let allTopics = topics + if(!body?.term) { + allTopics = topics.reduce((topicsArr, topic) => { + // Get first post in topic + const firstTopicPost = posts?.find(post => + post?.post_number === 1 && + post?.topic_id === topic?.id + ) + // If post found + // Get username + if(firstTopicPost?.username) { + topic.author = firstTopicPost.username + } + // Get like count + if(firstTopicPost?.like_count) { + topic.like_count = firstTopicPost.like_count + } + + if(firstTopicPost?.blurb) { + topic.blurb = firstTopicPost.blurb + } + + // Push updated topic to array + topicsArr.push(topic) + + return topicsArr + }, []) + } + + // Return topics + return await returnResponse(200, allTopics) + } catch(err) { + // Log and return the error + console.log('err', err) + return await returnResponse(500, { error: 'Unable to get topics from Discourse.'}) + } +} + +async function returnResponse(status, res) { + const headers = { + 'Content-Type': 'application/json', + 'Access-Control-Allow-Origin': '*', + 'Access-Control-Allow-Headers': '*', + 'Access-Control-Allow-Methods': 'POST, OPTIONS' + } + const resObj = { + statusCode: status, + headers, + body: JSON.stringify(res) + } + return resObj +} + +function buildQueryString(body) { + if(!body) return null + + // start with empty query string + let query = '' + + // check param and apply to query if set + for(const [key, value] of Object.entries(JSON.parse(body))) { + // validate categories + // if valid, add to query string + if(validateItem({ key, value })) { + if(key === 'category') { + query += `#${value} ` + } else if(key === 'inString') { + query += `in:${value}` + } else if(key === 'status' && Array.isArray(value)) { + value?.map(item => { + query += `${key}:${item} ` + }) + } else { + query += `${key}:${value} ` + } + } + } + + if(query) { + const encodedQuery = encodeURIComponent(query) + return encodedQuery + } +} + +function validateItem({ key, value }) { + // predefined Discourse values + // https://docs.discourse.org/#tag/Search/operation/search + const inStringValues = ['title', 'first', 'pinned', 'wiki'] + const orderValues = ['latest', 'likes', 'views', 'latest_topic'] + const statusValues = ['open', 'closed', 'public', 'archived', 'noreplies', 'single_user', 'solved', 'unsolved'] + + // validate keys + if(key === 'inString') { + return inStringValues.includes(value) + ? true + : false + } else if(key === 'order') { + return orderValues.includes(value) + ? true + : false + } else if(key === 'status') { + if(Array.isArray(value)) { + let isValid = true + value?.map(item => { + if(!statusValues.includes(item)) isValid = false + }) + return isValid + } else { + return statusValues.includes(value) + ? true + : false + } + } else { + return true + } +} + +exports.handler = getDiscourseTopics diff --git a/website/src/components/discourse/index.js b/website/src/components/discourse/index.js index 18e4d3e7254..a13777d9ae7 100644 --- a/website/src/components/discourse/index.js +++ b/website/src/components/discourse/index.js @@ -38,10 +38,10 @@ export const DiscourseFeed = ({ setLoading(true) setIsError(false) - // Build Netlify Function endpoint - const endpoint = window?.location?.hostname?.includes('localhost') - ? 'http://localhost:8888/.netlify/functions/get-discourse-topics' - : '/.netlify/functions/get-discourse-topics' + // Build function endpoint + const endpoint = process?.env?.VERCEL === '1' + ? `/api/get-discourse-topics` + : `/.netlify/functions/get-discourse-topics` // If 'after' prop not passed in, set relative after date let afterDate = after diff --git a/website/src/components/discourseBlogComments/index.js b/website/src/components/discourseBlogComments/index.js index 63279285f2a..2d959f76e9d 100644 --- a/website/src/components/discourseBlogComments/index.js +++ b/website/src/components/discourseBlogComments/index.js @@ -28,10 +28,10 @@ export const DiscourseBlogComments = ({title,slug}) => { const fetchData = async () => { try { - const endpoint = window?.location?.hostname?.includes('localhost') - ? `http://localhost:8888/.netlify/functions/get-discourse-comments?title=${title}&slug=${slug}` - : `/.netlify/functions/get-discourse-comments?title=${title}&slug=${slug}` - + const endpoint = process?.env?.VERCEL === '1' + ? `/api/get-discourse-comments?title=${title}&slug=${slug}` + : `/.netlify/functions/get-discourse-comments?title=${title}&slug=${slug}` + const { data } = await axios.get(endpoint) // Set error state if data not available From 610d00a108d4eded9c0dc32d7134a08b1a5f9a80 Mon Sep 17 00:00:00 2001 From: john-rock Date: Tue, 22 Aug 2023 13:52:25 -0400 Subject: [PATCH 110/486] mvoe api into root dir --- {website/api => api}/get-discourse-comments.js | 0 {website/api => api}/get-discourse-topics.js | 0 2 files changed, 0 insertions(+), 0 deletions(-) rename {website/api => api}/get-discourse-comments.js (100%) rename {website/api => api}/get-discourse-topics.js (100%) diff --git a/website/api/get-discourse-comments.js b/api/get-discourse-comments.js similarity index 100% rename from website/api/get-discourse-comments.js rename to api/get-discourse-comments.js diff --git a/website/api/get-discourse-topics.js b/api/get-discourse-topics.js similarity index 100% rename from website/api/get-discourse-topics.js rename to api/get-discourse-topics.js From b8a39067dd16bd3ced95b39e3b16d727d18dd4fc Mon Sep 17 00:00:00 2001 From: john-rock Date: Tue, 22 Aug 2023 14:06:41 -0400 Subject: [PATCH 111/486] add functions in website dir --- {api => website/api}/get-discourse-comments.js | 0 {api => website/api}/get-discourse-topics.js | 0 2 files changed, 0 insertions(+), 0 deletions(-) rename {api => website/api}/get-discourse-comments.js (100%) rename {api => website/api}/get-discourse-topics.js (100%) diff --git a/api/get-discourse-comments.js b/website/api/get-discourse-comments.js similarity index 100% rename from api/get-discourse-comments.js rename to website/api/get-discourse-comments.js diff --git a/api/get-discourse-topics.js b/website/api/get-discourse-topics.js similarity index 100% rename from api/get-discourse-topics.js rename to website/api/get-discourse-topics.js From 8ef25f3cd132e9dc07c1c51632eb8bada9cc7a81 Mon Sep 17 00:00:00 2001 From: john-rock Date: Tue, 22 Aug 2023 14:17:13 -0400 Subject: [PATCH 112/486] adjust comments function --- website/api/get-discourse-comments.js | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/website/api/get-discourse-comments.js b/website/api/get-discourse-comments.js index a309c30ef63..7baf70809d8 100644 --- a/website/api/get-discourse-comments.js +++ b/website/api/get-discourse-comments.js @@ -14,10 +14,10 @@ let headers = { 'Api-Username': DISCOURSE_USER_SYSTEM, } -async function getDiscourseComments(event) { +async function getDiscourseComments(req) { let topicId, comments, DISCOURSE_TOPIC_ID; - const blogUrl = await getBlogUrl(event) + const blogUrl = await getBlogUrl(req) if (blogUrl === DEVBLOG_PROD_URL) { DISCOURSE_TOPIC_ID = 21 @@ -32,8 +32,8 @@ async function getDiscourseComments(event) { : blogUrl.includes("localhost") ? DEV_ENV : PREVIEW_ENV; - const postTitle = `${env}${event.queryStringParameters.title}`; - const postSlug = event.queryStringParameters.slug; + const postTitle = `${env}${req.queryStringParameters.title}`; + const postSlug = req.queryStringParameters.slug; const cleanSlug = cleanUrl(postSlug); const externalId = truncateString(`${env}${cleanSlug}`); From cfeb9eb521ba8dcc5a01284325e04e1b36ce2d23 Mon Sep 17 00:00:00 2001 From: john-rock Date: Tue, 22 Aug 2023 14:36:48 -0400 Subject: [PATCH 113/486] try logging a few things --- website/api/get-discourse-comments.js | 13 +++++++------ .../src/components/discourseBlogComments/index.js | 3 +++ 2 files changed, 10 insertions(+), 6 deletions(-) diff --git a/website/api/get-discourse-comments.js b/website/api/get-discourse-comments.js index 7baf70809d8..fb7833096ba 100644 --- a/website/api/get-discourse-comments.js +++ b/website/api/get-discourse-comments.js @@ -14,8 +14,9 @@ let headers = { 'Api-Username': DISCOURSE_USER_SYSTEM, } -async function getDiscourseComments(req) { +async function getDiscourseComments(req, res) { let topicId, comments, DISCOURSE_TOPIC_ID; + console.log(req) const blogUrl = await getBlogUrl(req) @@ -34,7 +35,7 @@ async function getDiscourseComments(req) { : PREVIEW_ENV; const postTitle = `${env}${req.queryStringParameters.title}`; const postSlug = req.queryStringParameters.slug; - const cleanSlug = cleanUrl(postSlug); + const cleanSlug = cleanUrl(req); const externalId = truncateString(`${env}${cleanSlug}`); console.table({ @@ -77,7 +78,7 @@ async function getDiscourseComments(req) { return await returnResponse(200, comments); } catch (err) { console.log("err", err); - return await returnResponse(500, {error: "Unable to get topics from Discourse."}); + return res.status(500).json({ error: "Unable to get topics from Discourse." }); } } @@ -171,10 +172,10 @@ function cleanUrl(url) { } // Create a function to get the host name from the request and add /blog/ to the end -async function getBlogUrl(request) { - const host = request.headers.host +async function getBlogUrl(req) { + const host = req.headers.host return `https://${host}/blog/` } -exports.handler = getDiscourseComments +module.exports = getDiscourseComments; diff --git a/website/src/components/discourseBlogComments/index.js b/website/src/components/discourseBlogComments/index.js index 2d959f76e9d..8ab789697eb 100644 --- a/website/src/components/discourseBlogComments/index.js +++ b/website/src/components/discourseBlogComments/index.js @@ -33,6 +33,9 @@ export const DiscourseBlogComments = ({title,slug}) => { : `/.netlify/functions/get-discourse-comments?title=${title}&slug=${slug}` const { data } = await axios.get(endpoint) + + console.log('endpoint', endpoint) + console.log(data) // Set error state if data not available if(!data) throw new Error('Unable to get latest topics.') From c2869e55fa832e7e6f5482b100417d5f658d1ef8 Mon Sep 17 00:00:00 2001 From: john-rock Date: Tue, 22 Aug 2023 14:45:15 -0400 Subject: [PATCH 114/486] trigger build --- website/api/get-discourse-comments.js | 1 + 1 file changed, 1 insertion(+) diff --git a/website/api/get-discourse-comments.js b/website/api/get-discourse-comments.js index fb7833096ba..6c00080c01c 100644 --- a/website/api/get-discourse-comments.js +++ b/website/api/get-discourse-comments.js @@ -177,5 +177,6 @@ async function getBlogUrl(req) { return `https://${host}/blog/` } +// Test module.exports = getDiscourseComments; From 38adeca6473e672b14e41ea0285db83f53fc06eb Mon Sep 17 00:00:00 2001 From: john-rock Date: Tue, 22 Aug 2023 14:58:17 -0400 Subject: [PATCH 115/486] update trailing slash --- website/vercel.json | 1 + 1 file changed, 1 insertion(+) diff --git a/website/vercel.json b/website/vercel.json index 833588fca51..62cc295d694 100644 --- a/website/vercel.json +++ b/website/vercel.json @@ -1,5 +1,6 @@ { "cleanUrls": true, + "trailingSlash": false, "redirects": [ { "source": "/docs/deploy/job-triggers", From 829e671cab07bf78e47dd0ff8f8efe283352bc44 Mon Sep 17 00:00:00 2001 From: john-rock Date: Tue, 22 Aug 2023 15:00:32 -0400 Subject: [PATCH 116/486] hardcode endpoint to test --- website/src/components/discourseBlogComments/index.js | 11 +++++------ 1 file changed, 5 insertions(+), 6 deletions(-) diff --git a/website/src/components/discourseBlogComments/index.js b/website/src/components/discourseBlogComments/index.js index 8ab789697eb..de4ea193c6e 100644 --- a/website/src/components/discourseBlogComments/index.js +++ b/website/src/components/discourseBlogComments/index.js @@ -28,14 +28,13 @@ export const DiscourseBlogComments = ({title,slug}) => { const fetchData = async () => { try { - const endpoint = process?.env?.VERCEL === '1' - ? `/api/get-discourse-comments?title=${title}&slug=${slug}` - : `/.netlify/functions/get-discourse-comments?title=${title}&slug=${slug}` + //const endpoint = process?.env?.VERCEL === '1' + //? `/api/get-discourse-comments?title=${title}&slug=${slug}` + //: `/.netlify/functions/get-discourse-comments?title=${title}&slug=${slug}` + + const endpoint = '/api/get-discourse-comments?title=${title}&slug=${slug}' const { data } = await axios.get(endpoint) - - console.log('endpoint', endpoint) - console.log(data) // Set error state if data not available if(!data) throw new Error('Unable to get latest topics.') From cb71223818b256768ebb05360a19f19cef0666ab Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Tue, 22 Aug 2023 15:05:31 -0400 Subject: [PATCH 117/486] Update metricflow-cli.md --- website/docs/docs/build/metricflow-cli.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/website/docs/docs/build/metricflow-cli.md b/website/docs/docs/build/metricflow-cli.md index c7afa337027..dce8971a311 100644 --- a/website/docs/docs/build/metricflow-cli.md +++ b/website/docs/docs/build/metricflow-cli.md @@ -158,7 +158,7 @@ Options: --where TEXT SQL-like where statement provided as a string. For example: --where "revenue > 100" - To add a dimension filter to a where filter, you have to indicate that the filter item is part of your model. Reference the [FAQ] for more info on how to do this using a template wrapper. + To add a dimension filter to a where filter, you have to indicate that the filter item is part of your model. Refer to the [FAQ](#faqs) for more info on how to do this using a template wrapper. --limit TEXT Limit the number of rows out using an int or leave blank for no limit. For example: --limit 100 @@ -398,16 +398,16 @@ mf query --metrics revenue --group-by metric_time__month ## FAQs - How can I add a dimension filter to a where filter? - You have to indicate that the filter item is part of your model and use a template wrapper: `{{ Dimension(‘model_name1__model_name2’) }}`. For example, `mf query --metrics order_total --group-by metric_time --where "{{Dimension('order_id__is_food_order')}} = True"` + To add a dimension filter to a where filter, you have to indicate that the filter item is part of your model and use a template wrapper: `{{ Dimension(‘model_name1__model_name2’) }}`. Here's an example query: `mf query --metrics order_total --group-by metric_time --where "{{Dimension('order_id__is_food_order')}} = True"` Before using the template wrapper, however, you will need to set up your terminal to escape curly braces {} for the filter template to work.
How to set up your terminal to escape curly braces? - To configure your `.zshrc` profile to escape curly braces, you can use the `setopt` command to enable the `BRACECCL` option. This option will cause the shell to treat curly braces as literals and prevent brace expansion. Refer to the following steps to set it up: + To configure your .zshrcprofile to escape curly braces, you can use the setopt command to enable the BRACECCL option. This option will cause the shell to treat curly braces as literals and prevent brace expansion. Refer to the following steps to set it up:
1. Open your terminal. -2. Open your `.zshrc` file using a text editor like `nano`, `vim`, or any other text editor you prefer. You can use the following command to open it with `nano`: +2. Open your .zshrc file using a text editor like nano, vim, or any other text editor you prefer. You can use the following command to open it with `nano`: ```bash nano ~/.zshrc From b7dce858c2e5fafed36c67ef0defe4e08982451d Mon Sep 17 00:00:00 2001 From: john-rock Date: Tue, 22 Aug 2023 15:07:10 -0400 Subject: [PATCH 118/486] fix it so we can use the params --- website/src/components/discourseBlogComments/index.js | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/website/src/components/discourseBlogComments/index.js b/website/src/components/discourseBlogComments/index.js index de4ea193c6e..01407150c93 100644 --- a/website/src/components/discourseBlogComments/index.js +++ b/website/src/components/discourseBlogComments/index.js @@ -31,8 +31,8 @@ export const DiscourseBlogComments = ({title,slug}) => { //const endpoint = process?.env?.VERCEL === '1' //? `/api/get-discourse-comments?title=${title}&slug=${slug}` //: `/.netlify/functions/get-discourse-comments?title=${title}&slug=${slug}` - - const endpoint = '/api/get-discourse-comments?title=${title}&slug=${slug}' + + const endpoint = `/api/get-discourse-comments?title=${title}&slug=${slug}` const { data } = await axios.get(endpoint) From dbe40909fdf61f14a8c24bc778140314d2454e96 Mon Sep 17 00:00:00 2001 From: john-rock Date: Tue, 22 Aug 2023 15:14:54 -0400 Subject: [PATCH 119/486] cahnge querystringparams to query --- website/api/get-discourse-comments.js | 6 +++--- website/vercel.json | 1 - 2 files changed, 3 insertions(+), 4 deletions(-) diff --git a/website/api/get-discourse-comments.js b/website/api/get-discourse-comments.js index 6c00080c01c..96814f1d5b8 100644 --- a/website/api/get-discourse-comments.js +++ b/website/api/get-discourse-comments.js @@ -16,7 +16,7 @@ let headers = { async function getDiscourseComments(req, res) { let topicId, comments, DISCOURSE_TOPIC_ID; - console.log(req) + console.log(req.query) const blogUrl = await getBlogUrl(req) @@ -33,8 +33,8 @@ async function getDiscourseComments(req, res) { : blogUrl.includes("localhost") ? DEV_ENV : PREVIEW_ENV; - const postTitle = `${env}${req.queryStringParameters.title}`; - const postSlug = req.queryStringParameters.slug; + const postTitle = `${env}${req.query.title}`; + const postSlug = req.query.slug; const cleanSlug = cleanUrl(req); const externalId = truncateString(`${env}${cleanSlug}`); diff --git a/website/vercel.json b/website/vercel.json index 62cc295d694..833588fca51 100644 --- a/website/vercel.json +++ b/website/vercel.json @@ -1,6 +1,5 @@ { "cleanUrls": true, - "trailingSlash": false, "redirects": [ { "source": "/docs/deploy/job-triggers", From 48a530b5fb891685a2e0c50f594b0bbadd183662 Mon Sep 17 00:00:00 2001 From: john-rock Date: Tue, 22 Aug 2023 15:29:40 -0400 Subject: [PATCH 120/486] use req.url --- website/api/get-discourse-comments.js | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/website/api/get-discourse-comments.js b/website/api/get-discourse-comments.js index 96814f1d5b8..74ec3a4f6bb 100644 --- a/website/api/get-discourse-comments.js +++ b/website/api/get-discourse-comments.js @@ -35,7 +35,7 @@ async function getDiscourseComments(req, res) { : PREVIEW_ENV; const postTitle = `${env}${req.query.title}`; const postSlug = req.query.slug; - const cleanSlug = cleanUrl(req); + const cleanSlug = cleanUrl(req.url); const externalId = truncateString(`${env}${cleanSlug}`); console.table({ @@ -168,7 +168,7 @@ function truncateString(str) { // Remove query params and hash from URL to prevent duplicate topics function cleanUrl(url) { - return url.split("?")[0].split("#")[0]; + return url?.split("?")[0].split("#")[0]; } // Create a function to get the host name from the request and add /blog/ to the end From a8d7e82662f7bab929ed93d889f1538a58243daa Mon Sep 17 00:00:00 2001 From: john-rock Date: Tue, 22 Aug 2023 15:42:25 -0400 Subject: [PATCH 121/486] try using slug query isntead --- website/api/get-discourse-comments.js | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/api/get-discourse-comments.js b/website/api/get-discourse-comments.js index 74ec3a4f6bb..37ae9a149b3 100644 --- a/website/api/get-discourse-comments.js +++ b/website/api/get-discourse-comments.js @@ -35,7 +35,7 @@ async function getDiscourseComments(req, res) { : PREVIEW_ENV; const postTitle = `${env}${req.query.title}`; const postSlug = req.query.slug; - const cleanSlug = cleanUrl(req.url); + const cleanSlug = cleanUrl(req.query.slug); const externalId = truncateString(`${env}${cleanSlug}`); console.table({ From 61004852f4e2c575a4ba7bcc764c9bfe83686301 Mon Sep 17 00:00:00 2001 From: john-rock Date: Tue, 22 Aug 2023 15:57:37 -0400 Subject: [PATCH 122/486] use post slug --- website/api/get-discourse-comments.js | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/api/get-discourse-comments.js b/website/api/get-discourse-comments.js index 37ae9a149b3..faa58a12f28 100644 --- a/website/api/get-discourse-comments.js +++ b/website/api/get-discourse-comments.js @@ -35,7 +35,7 @@ async function getDiscourseComments(req, res) { : PREVIEW_ENV; const postTitle = `${env}${req.query.title}`; const postSlug = req.query.slug; - const cleanSlug = cleanUrl(req.query.slug); + const cleanSlug = cleanUrl(postSlug); const externalId = truncateString(`${env}${cleanSlug}`); console.table({ From 2528648ae11bf6053cf8978e9d343e068a1438ea Mon Sep 17 00:00:00 2001 From: john-rock Date: Tue, 22 Aug 2023 16:08:19 -0400 Subject: [PATCH 123/486] test with slug again --- website/api/get-discourse-comments.js | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/website/api/get-discourse-comments.js b/website/api/get-discourse-comments.js index faa58a12f28..7f16e9d0dc5 100644 --- a/website/api/get-discourse-comments.js +++ b/website/api/get-discourse-comments.js @@ -35,7 +35,7 @@ async function getDiscourseComments(req, res) { : PREVIEW_ENV; const postTitle = `${env}${req.query.title}`; const postSlug = req.query.slug; - const cleanSlug = cleanUrl(postSlug); + const cleanSlug = cleanUrl(req.query.slug); const externalId = truncateString(`${env}${cleanSlug}`); console.table({ @@ -168,7 +168,7 @@ function truncateString(str) { // Remove query params and hash from URL to prevent duplicate topics function cleanUrl(url) { - return url?.split("?")[0].split("#")[0]; + return url.split("?")[0].split("#")[0]; } // Create a function to get the host name from the request and add /blog/ to the end From 08e51b460d3065067c4e9cf47ba1195821284d84 Mon Sep 17 00:00:00 2001 From: john-rock Date: Tue, 22 Aug 2023 16:19:22 -0400 Subject: [PATCH 124/486] try returning json directly --- website/api/get-discourse-comments.js | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/website/api/get-discourse-comments.js b/website/api/get-discourse-comments.js index 7f16e9d0dc5..af3d243ec9c 100644 --- a/website/api/get-discourse-comments.js +++ b/website/api/get-discourse-comments.js @@ -75,7 +75,8 @@ async function getDiscourseComments(req, res) { comments.shift(); comments = { topicId, comments }; - return await returnResponse(200, comments); + //return await returnResponse(200, comments); + return res.status(200).json(comments); } catch (err) { console.log("err", err); return res.status(500).json({ error: "Unable to get topics from Discourse." }); From fec0c253b50b1a5fdbef607d99fd910e1a47ed42 Mon Sep 17 00:00:00 2001 From: john-rock Date: Tue, 22 Aug 2023 16:28:16 -0400 Subject: [PATCH 125/486] await response --- website/api/get-discourse-comments.js | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/website/api/get-discourse-comments.js b/website/api/get-discourse-comments.js index af3d243ec9c..ac46cd743d4 100644 --- a/website/api/get-discourse-comments.js +++ b/website/api/get-discourse-comments.js @@ -76,10 +76,10 @@ async function getDiscourseComments(req, res) { comments = { topicId, comments }; //return await returnResponse(200, comments); - return res.status(200).json(comments); + return await res.status(200).json(comments); } catch (err) { console.log("err", err); - return res.status(500).json({ error: "Unable to get topics from Discourse." }); + return await res.status(500).json({ error: "Unable to get topics from Discourse." }); } } From 7e4a38ed68395f0680d8ac77ee090b298e109e05 Mon Sep 17 00:00:00 2001 From: john-rock Date: Tue, 22 Aug 2023 16:41:53 -0400 Subject: [PATCH 126/486] try to console log the error --- website/api/get-discourse-comments.js | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/api/get-discourse-comments.js b/website/api/get-discourse-comments.js index ac46cd743d4..6c1ae22f8a5 100644 --- a/website/api/get-discourse-comments.js +++ b/website/api/get-discourse-comments.js @@ -103,7 +103,7 @@ async function createDiscourseTopic(title, externalId, slug, blogUrl, DISCOURSE_ return topicId } catch(err) { - console.log('err', err.response) + console.log('err', err) return await returnResponse(500, { error: 'Unable to create Discourse topic.'}) } } From c6ca125cb0c6e6d4b3ca1dd71d6d8352e10c861e Mon Sep 17 00:00:00 2001 From: john-rock Date: Tue, 22 Aug 2023 16:52:44 -0400 Subject: [PATCH 127/486] add more context for logging --- website/api/get-discourse-comments.js | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/website/api/get-discourse-comments.js b/website/api/get-discourse-comments.js index 6c1ae22f8a5..c864a1802d5 100644 --- a/website/api/get-discourse-comments.js +++ b/website/api/get-discourse-comments.js @@ -78,7 +78,7 @@ async function getDiscourseComments(req, res) { //return await returnResponse(200, comments); return await res.status(200).json(comments); } catch (err) { - console.log("err", err); + console.log("err on getDiscourseComments", err); return await res.status(500).json({ error: "Unable to get topics from Discourse." }); } } @@ -103,7 +103,7 @@ async function createDiscourseTopic(title, externalId, slug, blogUrl, DISCOURSE_ return topicId } catch(err) { - console.log('err', err) + console.log('err on createDiscourseTopic', err) return await returnResponse(500, { error: 'Unable to create Discourse topic.'}) } } @@ -129,7 +129,7 @@ async function getDiscourseTopicbyID(topicId) { return post_stream.posts } catch(err) { - console.log('err', err.response) + console.log('err on getDiscourseTopicbyID', err) return await returnResponse(500, { error: 'Unable to get Discourse topic by ID.'}) } } From 3850871a996e2a67226fd0fa14c52bd640f26882 Mon Sep 17 00:00:00 2001 From: john-rock Date: Tue, 22 Aug 2023 17:06:56 -0400 Subject: [PATCH 128/486] remote test comment --- website/api/get-discourse-comments.js | 2 -- 1 file changed, 2 deletions(-) diff --git a/website/api/get-discourse-comments.js b/website/api/get-discourse-comments.js index c864a1802d5..f5080fb3fcc 100644 --- a/website/api/get-discourse-comments.js +++ b/website/api/get-discourse-comments.js @@ -178,6 +178,4 @@ async function getBlogUrl(req) { return `https://${host}/blog/` } -// Test - module.exports = getDiscourseComments; From f81b9880470136a5b07e1febabcf962d6888542a Mon Sep 17 00:00:00 2001 From: "Eddo W. Hintoso" Date: Tue, 22 Aug 2023 15:05:13 -0700 Subject: [PATCH 129/486] discovery-api: Remove legacy job schemas --- .../schema-discovery-exposure.mdx | 66 -------------- .../schema-discovery-exposures.mdx | 66 -------------- .../schema-discovery-metric.mdx | 61 ------------- .../schema-discovery-metrics.mdx | 62 ------------- .../dbt-cloud-apis/schema-discovery-model.mdx | 88 ------------------- .../schema-discovery-modelByEnv.mdx | 52 ----------- .../schema-discovery-models.mdx | 58 ------------ .../dbt-cloud-apis/schema-discovery-seed.mdx | 44 ---------- .../dbt-cloud-apis/schema-discovery-seeds.mdx | 42 --------- .../schema-discovery-snapshots.mdx | 50 ----------- .../schema-discovery-source.mdx | 54 ------------ .../schema-discovery-sources.mdx | 57 ------------ .../dbt-cloud-apis/schema-discovery-test.mdx | 44 ---------- .../dbt-cloud-apis/schema-discovery-tests.mdx | 45 ---------- website/sidebars.js | 14 --- website/static/_redirects | 18 +++- 16 files changed, 17 insertions(+), 804 deletions(-) delete mode 100644 website/docs/docs/dbt-cloud-apis/schema-discovery-exposure.mdx delete mode 100644 website/docs/docs/dbt-cloud-apis/schema-discovery-exposures.mdx delete mode 100644 website/docs/docs/dbt-cloud-apis/schema-discovery-metric.mdx delete mode 100644 website/docs/docs/dbt-cloud-apis/schema-discovery-metrics.mdx delete mode 100644 website/docs/docs/dbt-cloud-apis/schema-discovery-model.mdx delete mode 100644 website/docs/docs/dbt-cloud-apis/schema-discovery-modelByEnv.mdx delete mode 100644 website/docs/docs/dbt-cloud-apis/schema-discovery-models.mdx delete mode 100644 website/docs/docs/dbt-cloud-apis/schema-discovery-seed.mdx delete mode 100644 website/docs/docs/dbt-cloud-apis/schema-discovery-seeds.mdx delete mode 100644 website/docs/docs/dbt-cloud-apis/schema-discovery-snapshots.mdx delete mode 100644 website/docs/docs/dbt-cloud-apis/schema-discovery-source.mdx delete mode 100644 website/docs/docs/dbt-cloud-apis/schema-discovery-sources.mdx delete mode 100644 website/docs/docs/dbt-cloud-apis/schema-discovery-test.mdx delete mode 100644 website/docs/docs/dbt-cloud-apis/schema-discovery-tests.mdx diff --git a/website/docs/docs/dbt-cloud-apis/schema-discovery-exposure.mdx b/website/docs/docs/dbt-cloud-apis/schema-discovery-exposure.mdx deleted file mode 100644 index aa1d27fd83c..00000000000 --- a/website/docs/docs/dbt-cloud-apis/schema-discovery-exposure.mdx +++ /dev/null @@ -1,66 +0,0 @@ ---- -title: "Exposure object schema" -sidebar_label: "Exposure" -id: "discovery-schema-exposure" ---- - -import { QueryArgsTable, SchemaTable } from "./schema"; - -The exposure object allows you to query information about a particular exposure. To learn more, refer to [Add Exposures to your DAG](/docs/build/exposures). - -import DiscoveryApiJobDeprecationNotice from '/snippets/_discovery_api_job_deprecation_notice.md'; - - - -### Arguments - -When querying for an `exposure`, the following arguments are available. If you don't include a `runId`, the API defaults to the most recent run of the specified job: - - - -Below we show some illustrative example queries and outline the schema of the exposure object. - -### Example query - -The example below queries information about an exposure including the owner's name and email, the URL, and information about parent sources and parent models. - -```graphql -{ - exposure(jobId: 123, name: "my_awesome_exposure") { - runId - projectId - name - uniqueId - resourceType - ownerName - url - ownerEmail - parentsSources { - uniqueId - sourceName - name - state - maxLoadedAt - criteria { - warnAfter { - period - count - } - errorAfter { - period - count - } - } - maxLoadedAtTimeAgoInS - } - parentsModels { - uniqueId - } - } -} -``` - -### Fields -When querying for an `exposure`, the following fields are available: - - diff --git a/website/docs/docs/dbt-cloud-apis/schema-discovery-exposures.mdx b/website/docs/docs/dbt-cloud-apis/schema-discovery-exposures.mdx deleted file mode 100644 index ba539c87dc8..00000000000 --- a/website/docs/docs/dbt-cloud-apis/schema-discovery-exposures.mdx +++ /dev/null @@ -1,66 +0,0 @@ ---- -title: "Exposures object schema" -sidebar_label: "Exposures" -id: "discovery-schema-exposures" ---- - -import { QueryArgsTable, SchemaTable } from "./schema"; - -The exposures object allows you to query information about all exposures in a given job. To learn more, refer to [Add Exposures to your DAG](/docs/build/exposures). - -import DiscoveryApiJobDeprecationNotice from '/snippets/_discovery_api_job_deprecation_notice.md'; - - - -### Arguments - -When querying for `exposures`, the following arguments are available. If you don't include a `runId`, the API defaults to the most recent run of the specified job: - - - -Below we show some illustrative example queries and outline the schema of the exposures object. - -### Example query - -The example below queries information about all exposures in a given job including the owner's name and email, the URL, and information about parent sources and parent models for each exposure. - -```graphql -{ - exposures(jobId: 123) { - runId - projectId - name - uniqueId - resourceType - ownerName - url - ownerEmail - parentsSources { - uniqueId - sourceName - name - state - maxLoadedAt - criteria { - warnAfter { - period - count - } - errorAfter { - period - count - } - } - maxLoadedAtTimeAgoInS - } - parentsModels { - uniqueId - } - } -} -``` - -### Fields -When querying for `exposures`, the following fields are available: - - diff --git a/website/docs/docs/dbt-cloud-apis/schema-discovery-metric.mdx b/website/docs/docs/dbt-cloud-apis/schema-discovery-metric.mdx deleted file mode 100644 index aee04ba2cce..00000000000 --- a/website/docs/docs/dbt-cloud-apis/schema-discovery-metric.mdx +++ /dev/null @@ -1,61 +0,0 @@ ---- -title: "Metric object schema" -sidebar_label: "Metric" -id: "discovery-schema-metric" ---- - -import { QueryArgsTable, SchemaTable } from "./schema"; - -The metric object allows you to query information about [metrics](/docs/build/metrics). - -import DiscoveryApiJobDeprecationNotice from '/snippets/_discovery_api_job_deprecation_notice.md'; - - - -### Arguments - -When querying for a `metric`, the following arguments are available. If you don't include a runId, the API defaults to the most recent run of the specified job: - - - -Below we show some illustrative example queries and outline the schema (all possible fields you can query) of the metric object. - -### Example query - -The example query below outputs information about a metric. You can also add any field from the model endpoint (the example simply selects name). This includes schema, database, uniqueId, columns, and more. For details, refer to [Model object schema](/docs/dbt-cloud-apis/discovery-schema-model). - - -```graphql -{ - metric(jobId: 123, uniqueId: "metric.jaffle_shop.new_customers") { - uniqueId - name - packageName - tags - label - runId - description - type - sql - timestamp - timeGrains - dimensions - meta - resourceType - filters { - field - operator - value - } - model { - name - } - } -} - -``` - -### Fields -When querying for a `metric`, the following fields are available: - - diff --git a/website/docs/docs/dbt-cloud-apis/schema-discovery-metrics.mdx b/website/docs/docs/dbt-cloud-apis/schema-discovery-metrics.mdx deleted file mode 100644 index 30d8d68b365..00000000000 --- a/website/docs/docs/dbt-cloud-apis/schema-discovery-metrics.mdx +++ /dev/null @@ -1,62 +0,0 @@ ---- -title: "Metrics object schema" -sidebar_label: "Metrics" -id: "discovery-schema-metrics" ---- - -import { QueryArgsTable, SchemaTable } from "./schema"; - -The metrics object allows you to query information about [metrics](/docs/build/metrics). - -import DiscoveryApiJobDeprecationNotice from '/snippets/_discovery_api_job_deprecation_notice.md'; - - - -### Arguments - -When querying for `metrics`, the following arguments are available. If you don't include a runId, the API defaults to the most recent run of the specified job: - - - -Below we show some illustrative example queries and outline the schema (all possible fields you can query) of the metrics object. - -### Example query - -The example query returns information about all metrics for the given job. - -```graphql -{ - metrics(jobId: 123) { - uniqueId - name - packageName - tags - label - runId - description - type - sql - timestamp - timeGrains - dimensions - meta - resourceType - filters { - field - operator - value - } - model { - name - } - } -} - -``` - -### Fields -The metrics object can access the _same fields_ as the [metric node](/docs/dbt-cloud-apis/discovery-schema-metric). The difference is that the metrics object can output a list so instead of querying for fields for one specific metric, you can query for those parameters for all metrics in a run. - -When querying for `metrics`, the following fields are available: - - diff --git a/website/docs/docs/dbt-cloud-apis/schema-discovery-model.mdx b/website/docs/docs/dbt-cloud-apis/schema-discovery-model.mdx deleted file mode 100644 index 7206fb9a51c..00000000000 --- a/website/docs/docs/dbt-cloud-apis/schema-discovery-model.mdx +++ /dev/null @@ -1,88 +0,0 @@ ---- -title: "Model object schema" -sidebar_label: "Model" -id: "discovery-schema-model" ---- - -import { QueryArgsTable, SchemaTable } from "./schema"; - -The model object allows you to query information about a particular model in a given job. - -import DiscoveryApiJobDeprecationNotice from '/snippets/_discovery_api_job_deprecation_notice.md'; - - - -### Arguments - -When querying for a `model`, the following arguments are available. If you don't include a runId, the API defaults to the most recent run of the specified job: - - - -Below we show some illustrative example queries and outline the schema (all possible fields you can query) of the model object. - -### Example query for finding parent models and sources - -The example query below uses the `parentsModels` and `parentsSources` fields to fetch information about a model’s parent models and parent sources. The jobID and uniqueID fields are placeholders that you will need to replace with your own values. - -```graphql -{ - model(jobId: 123, uniqueId: "model.jaffle_shop.dim_user") { - parentsModels { - runId - uniqueId - executionTime - } - parentsSources { - runId - uniqueId - state - } - } -} -``` - -### Example query for model timing - -The example query below could be useful if you wanted to understand information around execution timing on a given model (start, end, completion). - -```graphql -{ - model(jobId: 123, uniqueId: "model.jaffle_shop.dim_user") { - runId - projectId - name - uniqueId - resourceType - executeStartedAt - executeCompletedAt - executionTime - } -} -``` - -### Example query for column-level information - -You can use the following example query to understand more about the columns of a given model. This query will only work if the job has generated documentation; that is, it will work with the command `dbt docs generate`. - - -```graphql -{ - model(jobId: 123, uniqueId: "model.jaffle_shop.dim_user") { - columns{ - name - index - type - comment - description - tags - meta - } - } -} -``` - - -### Fields -When querying for a `model`, the following fields are available: - - diff --git a/website/docs/docs/dbt-cloud-apis/schema-discovery-modelByEnv.mdx b/website/docs/docs/dbt-cloud-apis/schema-discovery-modelByEnv.mdx deleted file mode 100644 index dade3d32d8a..00000000000 --- a/website/docs/docs/dbt-cloud-apis/schema-discovery-modelByEnv.mdx +++ /dev/null @@ -1,52 +0,0 @@ ---- -title: "Model by environment object schema" -sidebar_label: "Model by environment" -id: "discovery-schema-modelByEnv" ---- - -import { QueryArgsTable, SchemaTable } from "./schema"; - -:::caution - -dbt Labs is making changes to the Discovery API. These changes will take effect on August 15, 2023. - -The model by environment object is being deprecated and will be replaced with `environment { applied { modelHistoricalRuns } }`. When the time comes, you will need to update your API calls accordingly to avoid errors. Refer to the -[Environment object schema](/docs/dbt-cloud-apis/discovery-schema-environment) for details. -::: - -This model by environment object allows you to query information about a particular model based on `environmentId`. - -The [Example query](#example-query) illustrates a few fields you can query in the `modelByEnvironment` object. Refer to [Fields](#fields) to see the entire schema, which provides all possible fields you can query. - -import DiscoveryApiJobDeprecationNotice from '/snippets/_discovery_api_job_deprecation_notice.md'; - - - -### Arguments - -When querying for `modelByEnvironment`, you can use the following arguments. - - - - -### Example query - -You can use the `environmentId` and the model's `uniqueId` to return the model and its execution time for the last 20 times it was run, regardless of which job ran it. - - -```graphql -query{ - modelByEnvironment(environmentId: 834, uniqueId: "model.marketing.customers", lastRunCount: 20) { - runId, # Get historical results for a particular model - runGeneratedAt, - executionTime, # View build time across runs - status, - tests { name, status, executeCompletedAt } # View test results across runs - } -} -``` - -### Fields -When querying for `modelByEnvironment`, you can use the following fields. - - diff --git a/website/docs/docs/dbt-cloud-apis/schema-discovery-models.mdx b/website/docs/docs/dbt-cloud-apis/schema-discovery-models.mdx deleted file mode 100644 index f813d6a9ccf..00000000000 --- a/website/docs/docs/dbt-cloud-apis/schema-discovery-models.mdx +++ /dev/null @@ -1,58 +0,0 @@ ---- -title: "Models object schema" -sidebar_label: "Models" -id: "discovery-schema-models" ---- - -import { QueryArgsTable, SchemaTable } from "./schema"; - - -The models object allows you to query information about all models in a given job. - -import DiscoveryApiJobDeprecationNotice from '/snippets/_discovery_api_job_deprecation_notice.md'; - - - -### Arguments - -When querying for `models`, the following arguments are available. If you don't include a runId, the API defaults to the most recent run of the specified job: - - - -Below we show some illustrative example queries and outline the schema of the models object. - -### Example queries -The database, schema, and identifier arguments are optional. This means that with this endpoint you can: -- Find a specific model by providing `..` -- Find all of the models in a database and/or schema by providing `` and/or `` - -#### Find models by their database, schema, and identifier -The example query below finds a model by its unique database, schema, and identifier. - -```graphql -{ - models(jobId: 123, database:"analytics", schema: "analytics", identifier:"dim_customers") { - uniqueId - } -} -``` - -#### Find models by their schema -The example query below finds all models in this schema and their respective execution times. - -```graphql -{ - models(jobId: 123, schema: "analytics") { - uniqueId - executionTime - } -} -``` - - -### Fields -The models object can access the _same fields_ as the [Model node](/docs/dbt-cloud-apis/discovery-schema-model). The difference is that the models object can output a list so instead of querying for fields for one specific model, you can query for those parameters for all models within a jobID, database, and so on. - -When querying for `models`, the following fields are available: - - diff --git a/website/docs/docs/dbt-cloud-apis/schema-discovery-seed.mdx b/website/docs/docs/dbt-cloud-apis/schema-discovery-seed.mdx deleted file mode 100644 index 110f417769b..00000000000 --- a/website/docs/docs/dbt-cloud-apis/schema-discovery-seed.mdx +++ /dev/null @@ -1,44 +0,0 @@ ---- -title: "Seed object schema" -sidebar_label: "Seed" -id: "discovery-schema-seed" ---- - -import { QueryArgsTable, SchemaTable } from "./schema"; - -The seed object allows you to query information about a particular seed in a given job. - -import DiscoveryApiJobDeprecationNotice from '/snippets/_discovery_api_job_deprecation_notice.md'; - - - -### Arguments - -When querying for a `seed`, the following arguments are available. If you don't include a runId, the API defaults to the most recent run of the specified job: - - - -Below we show some illustrative example queries and outline the schema of the seed object. - -### Example query - -The query below pulls relevant information about a given seed. For instance, you can view the load time. - -```graphql -{ - seed(jobId: 123, uniqueId: "seed.jaffle_shop.raw_customers") { - database - schema - uniqueId - name - status - error - } -} -``` - -### Fields - -When querying for a `seed`, the following fields are available: - - diff --git a/website/docs/docs/dbt-cloud-apis/schema-discovery-seeds.mdx b/website/docs/docs/dbt-cloud-apis/schema-discovery-seeds.mdx deleted file mode 100644 index c0a45664e38..00000000000 --- a/website/docs/docs/dbt-cloud-apis/schema-discovery-seeds.mdx +++ /dev/null @@ -1,42 +0,0 @@ ---- -title: "Seeds object schema" -sidebar_label: "Seeds" -id: "discovery-schema-seeds" ---- - -import { QueryArgsTable, SchemaTable } from "./schema"; - -The seeds object allows you to query information about a all seeds in a given job. - -import DiscoveryApiJobDeprecationNotice from '/snippets/_discovery_api_job_deprecation_notice.md'; - - - -### Arguments - -When querying for `seeds`, the following arguments are available. If you don't include a runId, the API defaults to the most recent run of the specified job: - - - -Below we show some illustrative example queries and outline the schema of the seeds object. - -### Example query - -The query below pulls relevant information about all seeds in a given job. For instance, you can view load times. - -```graphql -{ - seeds(jobId: 123) { - uniqueId - name - executionTime - status - } -} -``` - -### Fields - -When querying for `seeds`, the following fields are available: - - diff --git a/website/docs/docs/dbt-cloud-apis/schema-discovery-snapshots.mdx b/website/docs/docs/dbt-cloud-apis/schema-discovery-snapshots.mdx deleted file mode 100644 index 4d2316cfc6a..00000000000 --- a/website/docs/docs/dbt-cloud-apis/schema-discovery-snapshots.mdx +++ /dev/null @@ -1,50 +0,0 @@ ---- -title: "Snapshots object schema" -sidebar_label: "Snapshots" -id: "discovery-schema-snapshots" ---- - -import { QueryArgsTable, SchemaTable } from "./schema"; - -The snapshots object allows you to query information about all snapshots in a given job. - -import DiscoveryApiJobDeprecationNotice from '/snippets/_discovery_api_job_deprecation_notice.md'; - - - -### Arguments - -When querying for `snapshots`, the following arguments are available. If you don't include a runId, the API defaults to the most recent run of the specified job: - - - -Below we show some illustrative example queries and outline the schema of the snapshots object. - -### Example query -The database, schema, and identifier arguments are optional. This means that with this endpoint you can: -- Find a specific snapshot by providing `..` -- Find all of the snapshots in a database and/or schema by providing `` and/or `` - -#### Find snapshots information for a job -The example query returns information about all snapshots in this job. - -```graphql -{ - snapshots(jobId: 123) { - uniqueId - name - executionTime - environmentId - executeStartedAt - executeCompletedAt - } -} - -``` - -### Fields -The snapshots object can access the _same fields_ as the [Snapshot node](/docs/dbt-cloud-apis/discovery-schema-snapshots). The difference is that the snapshots object can output a list so instead of querying for fields for one specific snapshot, you can query for those parameters for all snapshots within a jobID, database, and so on. - -When querying for `snapshots`, the following fields are available: - - diff --git a/website/docs/docs/dbt-cloud-apis/schema-discovery-source.mdx b/website/docs/docs/dbt-cloud-apis/schema-discovery-source.mdx deleted file mode 100644 index 3d632a035e3..00000000000 --- a/website/docs/docs/dbt-cloud-apis/schema-discovery-source.mdx +++ /dev/null @@ -1,54 +0,0 @@ ---- -title: "Source object schema" -sidebar_label: "Source" -id: "discovery-schema-source" ---- - -import { QueryArgsTable, SchemaTable } from "./schema"; - -The source object allows you to query information about a particular source in a given job. - -import DiscoveryApiJobDeprecationNotice from '/snippets/_discovery_api_job_deprecation_notice.md'; - - - -### Arguments - -When querying for a `source`, the following arguments are available. If you don't include a runId, the API defaults to the most recent run of the specified job: - - - -Below we show some illustrative example queries and outline the schema of the source object. - -### Example query - -The example query below pulls relevant information about a given source. For instance, you can view the load time and the state (pass, fail, error) of that source. - -```graphql -{ - source(jobId: 123, uniqueId: "source.jaffle_shop.snowplow.event") { - uniqueId - sourceName - name - state - maxLoadedAt - criteria { - warnAfter { - period - count - } - errorAfter { - period - count - } - } - maxLoadedAtTimeAgoInS - } -} -``` - -### Fields - -When querying for a `source`, the following fields are available: - - diff --git a/website/docs/docs/dbt-cloud-apis/schema-discovery-sources.mdx b/website/docs/docs/dbt-cloud-apis/schema-discovery-sources.mdx deleted file mode 100644 index 591f8e0307c..00000000000 --- a/website/docs/docs/dbt-cloud-apis/schema-discovery-sources.mdx +++ /dev/null @@ -1,57 +0,0 @@ ---- -title: "Sources object schema" -sidebar_label: "Sources" -id: "discovery-schema-sources" ---- - -import { QueryArgsTable, SchemaTable } from "./schema"; - - -The sources object allows you to query information about all sources in a given job. - -import DiscoveryApiJobDeprecationNotice from '/snippets/_discovery_api_job_deprecation_notice.md'; - - - -### Arguments - -When querying for `sources`, the following arguments are available. If you don't include a runId, the API defaults to the most recent run of the specified job: - - - -Below we show some illustrative example queries and outline the schema of the sources object. - -### Example queries -The database, schema, and identifier arguments are optional. This means that with this endpoint you can: -- Find a specific source by providing `..` -- Find all of the sources in a database and/or schema by providing `` and/or `` - -#### Find sources by their database, schema, and identifier -The example query below finds a source by its unique database, schema, and identifier. - -```graphql -{ - sources(jobId: 123, database:"analytics", schema: "analytics", identifier:"dim_customers") { - uniqueId - } -} -``` - -#### Find sources by their schema -The example query below finds all sources in this schema and their respective states (pass, error, fail). - -```graphql -{ - sources(jobId: 123, schema: "analytics") { - uniqueId - state - } -} -``` - -### Fields -The sources object can access the _same fields_ as the [Source node](/docs/dbt-cloud-apis/discovery-schema-source). The difference is that the sources object can output a list so instead of querying for fields for one specific source, you can query for those parameters for all sources within a jobID, database, and so on. - -When querying for `sources`, the following fields are available: - - diff --git a/website/docs/docs/dbt-cloud-apis/schema-discovery-test.mdx b/website/docs/docs/dbt-cloud-apis/schema-discovery-test.mdx deleted file mode 100644 index ea22a81fc8e..00000000000 --- a/website/docs/docs/dbt-cloud-apis/schema-discovery-test.mdx +++ /dev/null @@ -1,44 +0,0 @@ ---- -title: "Test object schema" -sidebar_label: "Test" -id: "discovery-schema-test" ---- - -import { QueryArgsTable, SchemaTable } from "./schema"; - -The test object allows you to query information about a particular test. - -import DiscoveryApiJobDeprecationNotice from '/snippets/_discovery_api_job_deprecation_notice.md'; - - - -### Arguments - -When querying for a `test`, the following arguments are available. If you don't include a runId, the API defaults to the most recent run of the specified job: - - - -Below we show some illustrative example queries and outline the schema (all possible fields you can query) of the test object. - -### Example query - -The example query below outputs information about a test including the state of the test result. In order of severity, the result can be one of these: "error", "fail", "warn", or "pass". - -```graphql -{ - test(jobId: 123, uniqueId: "test.internal_analytics.not_null_metrics_id") { - runId - accountId - projectId - uniqueId - name - columnName - state - } -} -``` - -### Fields -When querying for a `test`, the following fields are available: - - diff --git a/website/docs/docs/dbt-cloud-apis/schema-discovery-tests.mdx b/website/docs/docs/dbt-cloud-apis/schema-discovery-tests.mdx deleted file mode 100644 index 250a73cea5d..00000000000 --- a/website/docs/docs/dbt-cloud-apis/schema-discovery-tests.mdx +++ /dev/null @@ -1,45 +0,0 @@ ---- -title: "Tests object schema" -sidebar_label: "Tests" -id: "discovery-schema-tests" ---- - -import { QueryArgsTable, SchemaTable } from "./schema"; - -The tests object allows you to query information about all tests in a given job. - - -import DiscoveryApiJobDeprecationNotice from '/snippets/_discovery_api_job_deprecation_notice.md'; - - - -### Arguments - -When querying for `tests`, the following arguments are available. If you don't include a runId, the API defaults to the most recent run of the specified job: - - - -Below we show some illustrative example queries and outline the schema (all possible fields you can query) of the tests object. - -### Example query - -The example query below finds all tests in this job and includes information about those tests. - -```graphql -{ - tests(jobId: 123) { - runId - accountId - projectId - uniqueId - name - columnName - state - } -} -``` - -### Fields -When querying for `tests`, the following fields are available: - - diff --git a/website/sidebars.js b/website/sidebars.js index e319f4d49bf..b558319ef6b 100644 --- a/website/sidebars.js +++ b/website/sidebars.js @@ -502,20 +502,6 @@ const sidebarSettings = { // }, ], }, - "docs/dbt-cloud-apis/discovery-schema-model", - "docs/dbt-cloud-apis/discovery-schema-models", - "docs/dbt-cloud-apis/discovery-schema-modelByEnv", - "docs/dbt-cloud-apis/discovery-schema-metric", - "docs/dbt-cloud-apis/discovery-schema-metrics", - "docs/dbt-cloud-apis/discovery-schema-source", - "docs/dbt-cloud-apis/discovery-schema-sources", - "docs/dbt-cloud-apis/discovery-schema-seed", - "docs/dbt-cloud-apis/discovery-schema-seeds", - "docs/dbt-cloud-apis/discovery-schema-snapshots", - "docs/dbt-cloud-apis/discovery-schema-test", - "docs/dbt-cloud-apis/discovery-schema-tests", - "docs/dbt-cloud-apis/discovery-schema-exposure", - "docs/dbt-cloud-apis/discovery-schema-exposures", ], }, ], diff --git a/website/static/_redirects b/website/static/_redirects index ae726f816c4..7c2cc143cdc 100644 --- a/website/static/_redirects +++ b/website/static/_redirects @@ -111,9 +111,25 @@ https://docs.getdbt.com/blog/how-to-design-and-structure-metrics /docs/use-dbt- /docs/dbt-cloud-apis/metadata-api /docs/dbt-cloud-apis/discovery-api 301 /docs/dbt-cloud-apis/metadata-querying /docs/dbt-cloud-apis/discovery-querying 301 - /docs/core/connection-profiles#understanding-threads /docs/running-a-dbt-project/using-threads 301 +# Deprecating Discovery API (FKA Metadata API) legacy endpoints + +/docs/dbt-cloud-apis/discovery-schema-model /docs/dbt-cloud-apis/discovery-schema-job-model 301 +/docs/dbt-cloud-apis/discovery-schema-models /docs/dbt-cloud-apis/discovery-schema-job-models 301 +/docs/dbt-cloud-apis/discovery-schema-modelByEnv /docs/dbt-cloud-apis/discovery-schema-environment-applied-modelHistoricalRuns 301 +/docs/dbt-cloud-apis/discovery-schema-metric /docs/dbt-cloud-apis/discovery-schema-job-metric 301 +/docs/dbt-cloud-apis/discovery-schema-metrics /docs/dbt-cloud-apis/discovery-schema-job-metrics 301 +/docs/dbt-cloud-apis/discovery-schema-source /docs/dbt-cloud-apis/discovery-schema-job-source 301 +/docs/dbt-cloud-apis/discovery-schema-sources /docs/dbt-cloud-apis/discovery-schema-job-sources 301 +/docs/dbt-cloud-apis/discovery-schema-seed /docs/dbt-cloud-apis/discovery-schema-job-seed 301 +/docs/dbt-cloud-apis/discovery-schema-seeds /docs/dbt-cloud-apis/discovery-schema-job-seeds 301 +/docs/dbt-cloud-apis/discovery-schema-snapshots /docs/dbt-cloud-apis/discovery-schema-job-snapshots 301 +/docs/dbt-cloud-apis/discovery-schema-test /docs/dbt-cloud-apis/discovery-schema-job-test 301 +/docs/dbt-cloud-apis/discovery-schema-tests /docs/dbt-cloud-apis/discovery-schema-job-tests 301 +/docs/dbt-cloud-apis/discovery-schema-exposure /docs/dbt-cloud-apis/discovery-schema-job-exposure 301 +/docs/dbt-cloud-apis/discovery-schema-exposures /docs/dbt-cloud-apis/discovery-schema-job-exposures 301 + # PrivateLink to Secure redirects /docs/cloud/privatelink/about-privatelink /docs/cloud/secure/about-privatelink 301 /docs/cloud/privatelink/snowflake-privatelink /docs/cloud/secure/about-privatelink 301 From a0d8b8d38ebbcefcdc440f7eea2a06bdbaa37044 Mon Sep 17 00:00:00 2001 From: "Eddo W. Hintoso" Date: Tue, 22 Aug 2023 18:18:28 -0700 Subject: [PATCH 130/486] discovery-api: update links --- .../docs/docs/dbt-cloud-apis/discovery-api.md | 17 ++++++++--------- .../docs/dbt-cloud-apis/discovery-querying.md | 6 +++--- .../schema-discovery-job-metric.mdx | 2 +- .../webhooks/serverless-datadog.md | 10 +++++----- 4 files changed, 17 insertions(+), 18 deletions(-) diff --git a/website/docs/docs/dbt-cloud-apis/discovery-api.md b/website/docs/docs/dbt-cloud-apis/discovery-api.md index 16c9bc16ec4..e4441aa55a2 100644 --- a/website/docs/docs/dbt-cloud-apis/discovery-api.md +++ b/website/docs/docs/dbt-cloud-apis/discovery-api.md @@ -2,9 +2,9 @@ title: "About the Discovery API" --- -Every time dbt Cloud runs a project, it generates and stores information about the project. The metadata includes details about your project’s models, sources, and other nodes along with their execution results. With the dbt Cloud Discovery API, you can query this comprehensive information to gain a better understanding of your DAG and the data it produces. +Every time dbt Cloud runs a project, it generates and stores information about the project. The metadata includes details about your project’s models, sources, and other nodes along with their execution results. With the dbt Cloud Discovery API, you can query this comprehensive information to gain a better understanding of your DAG and the data it produces. -By leveraging the metadata in dbt Cloud, you can create systems for data monitoring and alerting, lineage exploration, and automated reporting. This can help you improve data discovery, data quality, and pipeline operations within your organization. +By leveraging the metadata in dbt Cloud, you can create systems for data monitoring and alerting, lineage exploration, and automated reporting. This can help you improve data discovery, data quality, and pipeline operations within your organization. You can access the Discovery API through [ad hoc queries](/docs/dbt-cloud-apis/discovery-querying), custom applications, a wide range of [partner ecosystem integrations](https://www.getdbt.com/product/integrations/) (like BI/analytics, catalog and governance, and quality and observability), and by using dbt Cloud features like [model timing](/docs/deploy/run-visibility#model-timing) and [dashboard status tiles](/docs/deploy/dashboard-status-tiles). @@ -17,13 +17,13 @@ You can query the dbt Cloud metadata: - At the job level for results on a specific dbt Cloud job run for a given resource type, like `models` or `test`. :::tip Public Preview -The Discovery API is currently available in Public Preview for dbt Cloud accounts on a Team or Enterprise plan. It’s available to all multi-tenant and to only select single-tenant accounts (please ask your account team to confirm). Preview features are stable and can be considered for production deployments, but there might still be some planned additions and modifications to product behavior before moving to General Availability. For details, refer to [dbt Product lifecycles](/docs/dbt-versions/product-lifecycles). +The Discovery API is currently available in Public Preview for dbt Cloud accounts on a Team or Enterprise plan. It’s available to all multi-tenant and to only select single-tenant accounts (please ask your account team to confirm). Preview features are stable and can be considered for production deployments, but there might still be some planned additions and modifications to product behavior before moving to General Availability. For details, refer to [dbt Product lifecycles](/docs/dbt-versions/product-lifecycles). ::: ## What you can use the Discovery API for -Click the tabs below to learn more about the API's use cases, the analysis you can do, and the results you can achieve by integrating with it. +Click the tabs below to learn more about the API's use cases, the analysis you can do, and the results you can achieve by integrating with it. To use the API directly or integrate your tool with it, refer to [Uses case and examples](/docs/dbt-cloud-apis/discovery-use-cases-and-examples) for detailed information. @@ -33,7 +33,7 @@ To use the API directly or integrate your tool with it, refer to [Uses case and Use the API to look at historical information like model build time to determine the health of your dbt projects. Finding inefficiencies in orchestration configurations can help decrease infrastructure costs and improve timeliness. To learn more about how to do this, refer to [Performance](/docs/dbt-cloud-apis/discovery-use-cases-and-examples#performance). -You can use, for example, the [model timing](/docs/deploy/run-visibility#model-timing) tab to help identify and optimize bottlenecks in model builds: +You can use, for example, the [model timing](/docs/deploy/run-visibility#model-timing) tab to help identify and optimize bottlenecks in model builds: @@ -53,7 +53,7 @@ Use the API to find and understand dbt assets in integrated tools using informat Data producers must manage and organize data for stakeholders, while data consumers need to quickly and confidently analyze data on a large scale to make informed decisions that improve business outcomes and reduce organizational overhead. The API is useful for discovery data experiences in catalogs, analytics, apps, and machine learning (ML) tools. It can help you understand the origin and meaning of datasets for your analysis. - + @@ -75,7 +75,7 @@ Use the API to review dataset changes and uses by examining exposures, lineage, ## Types of project state -There are two types of [project state](/docs/dbt-cloud-apis/project-state) at the environment level that you can query the results of: +There are two types of [project state](/docs/dbt-cloud-apis/project-state) at the environment level that you can query the results of: - **Definition** — The logical state of a dbt project’s [resources](/docs/build/projects) that update when the project is changed. - **Applied** — The output of successful dbt DAG execution that creates or describes the state of the database (for example: `dbt run`, `dbt test`, source freshness, and so on) @@ -86,5 +86,4 @@ These states allow you to easily examine the difference between a model’s defi - [Use cases and examples for the Discovery API](/docs/dbt-cloud-apis/discovery-use-cases-and-examples) - [Query the Discovery API](/docs/dbt-cloud-apis/discovery-querying) -- [Schema](/docs/dbt-cloud-apis/discovery-schema-model) - +- [Schema](/docs/dbt-cloud-apis/discovery-schema-job) diff --git a/website/docs/docs/dbt-cloud-apis/discovery-querying.md b/website/docs/docs/dbt-cloud-apis/discovery-querying.md index eaa30c36dfb..1aae33e72a9 100644 --- a/website/docs/docs/dbt-cloud-apis/discovery-querying.md +++ b/website/docs/docs/dbt-cloud-apis/discovery-querying.md @@ -26,7 +26,7 @@ Once you've created a token, you can use it in the Authorization header of reque * Replace `{YOUR_ACCESS_URL}` with the appropriate [Access URL](/docs/cloud/about-cloud/regions-ip-addresses) for your region and plan. For example, if your multi-tenant region is North America, your endpoint is `https://metadata.cloud.getdbt.com/graphql`. If your multi-tenant region is EMEA, your endpoint is `https://metadata.emea.dbt.com/graphql`. -3. For specific query points, refer to the [schema documentation](/docs/dbt-cloud-apis/discovery-schema-model). +3. For specific query points, refer to the [schema documentation](/docs/dbt-cloud-apis/discovery-schema-job). ## Run queries using HTTP requests @@ -187,7 +187,7 @@ totalCount # Total number of records across all pages ### Filters -Filtering helps to narrow down the results of an API query. If you want to query and return only models and tests that are failing or find models that are taking too long to run, you can fetch execution details such as [`executionTime`](/docs/dbt-cloud-apis/discovery-schema-models#fields), [`runElapsedTime`](/docs/dbt-cloud-apis/discovery-schema-models#fields), or [`status`](/docs/dbt-cloud-apis/discovery-schema-models#fields). This helps data teams monitor the performance of their models, identify bottlenecks, and optimize the overall data pipeline. +Filtering helps to narrow down the results of an API query. If you want to query and return only models and tests that are failing or find models that are taking too long to run, you can fetch execution details such as [`executionTime`](/docs/dbt-cloud-apis/discovery-schema-job-models#fields), [`runElapsedTime`](/docs/dbt-cloud-apis/discovery-schema-job-models#fields), or [`status`](/docs/dbt-cloud-apis/discovery-schema-job-models#fields). This helps data teams monitor the performance of their models, identify bottlenecks, and optimize the overall data pipeline. Below is an example that filters for results of models that have succeeded on their `lastRunStatus`: @@ -230,4 +230,4 @@ query ModelsAndTests($environmentId: BigInt!, $first: Int!) { ## Related content - [Use cases and examples for the Discovery API](/docs/dbt-cloud-apis/discovery-use-cases-and-examples) -- [Schema](/docs/dbt-cloud-apis/discovery-schema-model) +- [Schema](/docs/dbt-cloud-apis/discovery-schema-job) diff --git a/website/docs/docs/dbt-cloud-apis/schema-discovery-job-metric.mdx b/website/docs/docs/dbt-cloud-apis/schema-discovery-job-metric.mdx index 1f1f490d62f..3a8a52a19cb 100644 --- a/website/docs/docs/dbt-cloud-apis/schema-discovery-job-metric.mdx +++ b/website/docs/docs/dbt-cloud-apis/schema-discovery-job-metric.mdx @@ -18,7 +18,7 @@ Below we show some illustrative example queries and outline the schema (all poss ### Example query -The example query below outputs information about a metric. You can also add any field from the model endpoint (the example simply selects name). This includes schema, database, uniqueId, columns, and more. For details, refer to [Model object schema](/docs/dbt-cloud-apis/discovery-schema-model). +The example query below outputs information about a metric. You can also add any field from the model endpoint (the example simply selects name). This includes schema, database, uniqueId, columns, and more. For details, refer to [Model object schema](/docs/dbt-cloud-apis/discovery-schema-job-model). ```graphql diff --git a/website/docs/guides/orchestration/webhooks/serverless-datadog.md b/website/docs/guides/orchestration/webhooks/serverless-datadog.md index cb03c72c6b5..6bd38869259 100644 --- a/website/docs/guides/orchestration/webhooks/serverless-datadog.md +++ b/website/docs/guides/orchestration/webhooks/serverless-datadog.md @@ -5,7 +5,7 @@ slug: serverless-datadog description: Configure a serverless app to add Datadog logs --- -This guide will teach you how to build and host a basic Python app which will add dbt Cloud job events to Datadog. To do this, when a dbt Cloud job completes it will create a log entry for each node that was run, containing all information about the node provided by the [Discovery API](/docs/dbt-cloud-apis/discovery-schema-models). +This guide will teach you how to build and host a basic Python app which will add dbt Cloud job events to Datadog. To do this, when a dbt Cloud job completes it will create a log entry for each node that was run, containing all information about the node provided by the [Discovery API](/docs/dbt-cloud-apis/discovery-schema-job-models). In this example, we will use [fly.io](https://fly.io) for hosting/running the service. fly.io is a platform for running full stack apps without provisioning servers etc. This level of usage should comfortably fit inside of the Free tier. You can also use an alternative tool such as [AWS Lambda](https://adem.sh/blog/tutorial-fastapi-aws-lambda-serverless) or [Google Cloud Run](https://github.com/sekR4/FastAPI-on-Google-Cloud-Run). @@ -24,7 +24,7 @@ This guide assumes some familiarity with: ### 2. Install `flyctl` and sign up for fly.io -Follow the directions for your OS in the [fly.io docs](https://fly.io/docs/hands-on/install-flyctl/), then from your command line, run the following commands: +Follow the directions for your OS in the [fly.io docs](https://fly.io/docs/hands-on/install-flyctl/), then from your command line, run the following commands: Switch to the directory containing the repo you cloned in step 1: ```shell @@ -48,11 +48,11 @@ Launching your app publishes it to the web and makes it ready to catch webhook e flyctl launch ``` -You will see a message saying that an existing `fly.toml` file was found. Type `y` to copy its configuration to your new app. +You will see a message saying that an existing `fly.toml` file was found. Type `y` to copy its configuration to your new app. Choose an app name of your choosing, such as `YOUR_COMPANY-dbt-cloud-webhook-datadog`, or leave blank and one will be generated for you. Note that your name can only contain numbers, lowercase letters and dashes. -Choose a deployment region, and take note of the hostname that is generated (normally `APP_NAME.fly.dev`). +Choose a deployment region, and take note of the hostname that is generated (normally `APP_NAME.fly.dev`). When asked if you would like to set up Postgresql or Redis databases, type `n` for each. @@ -108,4 +108,4 @@ flyctl secrets set DBT_CLOUD_SERVICE_TOKEN=abc123 DBT_CLOUD_AUTH_TOKEN=def456 DD ``` ### 7. Deploy your app -After you set your secrets, fly.io will redeploy your application. When it has completed successfully, go back to the dbt Cloud webhook settings and click **Test Endpoint**. \ No newline at end of file +After you set your secrets, fly.io will redeploy your application. When it has completed successfully, go back to the dbt Cloud webhook settings and click **Test Endpoint**. From 09a02f42ce06d8e391ee4c2646e18e6efe7b56d2 Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Wed, 23 Aug 2023 11:57:17 +0100 Subject: [PATCH 131/486] fix formatting --- website/docs/docs/build/metricflow-cli.md | 20 ++++++++++++-------- 1 file changed, 12 insertions(+), 8 deletions(-) diff --git a/website/docs/docs/build/metricflow-cli.md b/website/docs/docs/build/metricflow-cli.md index dce8971a311..482d52b4168 100644 --- a/website/docs/docs/build/metricflow-cli.md +++ b/website/docs/docs/build/metricflow-cli.md @@ -157,8 +157,9 @@ Options: time of the data (inclusive) --where TEXT SQL-like where statement provided as a string. For - example: --where "revenue > 100" - To add a dimension filter to a where filter, you have to indicate that the filter item is part of your model. Refer to the [FAQ](#faqs) for more info on how to do this using a template wrapper. + example: --where "revenue > 100". To add a dimension filter to + a where filter, you have to indicate that the filter item is part of your model. + Refer to the [FAQ](#faqs) for more info on how to do this using a template wrapper. --limit TEXT Limit the number of rows out using an int or leave blank for no limit. For example: --limit 100 @@ -397,17 +398,19 @@ mf query --metrics revenue --group-by metric_time__month ## FAQs -- How can I add a dimension filter to a where filter? - To add a dimension filter to a where filter, you have to indicate that the filter item is part of your model and use a template wrapper: `{{ Dimension(‘model_name1__model_name2’) }}`. Here's an example query: `mf query --metrics order_total --group-by metric_time --where "{{Dimension('order_id__is_food_order')}} = True"` +
+How can I add a dimension filter to a where filter? -Before using the template wrapper, however, you will need to set up your terminal to escape curly braces {} for the filter template to work. +To add a dimension filter to a where filter, you have to indicate that the filter item is part of your model and use a template wrapper: {{Dimension('model_name1__model_name2')}}. + +Here's an example query: mf query --metrics order_total --group-by metric_time --where "{{Dimension('order_id__is_food_order')}} = True".

Before using the template wrapper, however, you will need to set up your terminal to escape curly braces for the filter template to work.
How to set up your terminal to escape curly braces? To configure your .zshrcprofile to escape curly braces, you can use the setopt command to enable the BRACECCL option. This option will cause the shell to treat curly braces as literals and prevent brace expansion. Refer to the following steps to set it up:
1. Open your terminal. -2. Open your .zshrc file using a text editor like nano, vim, or any other text editor you prefer. You can use the following command to open it with `nano`: +2. Open your .zshrc file using a text editor like nano, vim, or any other text editor you prefer. You can use the following command to open it with nano: ```bash nano ~/.zshrc @@ -419,7 +422,7 @@ setopt BRACECCL ``` 4. Save and exit the text editor (in `nano`, press Ctrl + O to save, and Ctrl + X to exit). -5. Source your `.zshrc` file to apply the changes: +5. Source your .zshrc file to apply the changes: ```bash source ~/.zshrc @@ -427,8 +430,9 @@ source ~/.zshrc 6. After making these changes, your Zsh shell will treat curly braces as literal characters and will not perform brace expansion. This means that you can use curly braces without worrying about unintended expansions. -Keep in mind that modifying your shell configuration files can have an impact on how your shell behaves. If you're not familiar with shell configuration, it's a good idea to make a backup of your `.zshrc` file before making any changes. If you encounter any issues or unexpected behavior, you can revert to the backup. +Keep in mind that modifying your shell configuration files can have an impact on how your shell behaves. If you're not familiar with shell configuration, it's a good idea to make a backup of your .zshrc file before making any changes. If you encounter any issues or unexpected behavior, you can revert to the backup.
+
From 238544a4c811e29804c72927a2aacbd1868f655a Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Wed, 23 Aug 2023 11:58:14 +0100 Subject: [PATCH 132/486] jordan's suggs --- website/docs/docs/build/metricflow-cli.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/build/metricflow-cli.md b/website/docs/docs/build/metricflow-cli.md index 482d52b4168..2650b2215ae 100644 --- a/website/docs/docs/build/metricflow-cli.md +++ b/website/docs/docs/build/metricflow-cli.md @@ -401,7 +401,7 @@ mf query --metrics revenue --group-by metric_time__month
How can I add a dimension filter to a where filter? -To add a dimension filter to a where filter, you have to indicate that the filter item is part of your model and use a template wrapper: {{Dimension('model_name1__model_name2')}}. +To add a dimension filter to a where filter, you have to indicate that the filter item is part of your model and use a template wrapper: {{Dimension('primary_entity__dimension_name')}}. Here's an example query: mf query --metrics order_total --group-by metric_time --where "{{Dimension('order_id__is_food_order')}} = True".

Before using the template wrapper, however, you will need to set up your terminal to escape curly braces for the filter template to work. From 678daaf41b3ac80576a0623936e6ac9351e82c9b Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Wed, 23 Aug 2023 14:05:31 +0100 Subject: [PATCH 133/486] Update website/docs/docs/dbt-cloud-apis/sl-jdbc.md --- website/docs/docs/dbt-cloud-apis/sl-jdbc.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/dbt-cloud-apis/sl-jdbc.md b/website/docs/docs/dbt-cloud-apis/sl-jdbc.md index e4d1d6ebbaf..45aef7157e1 100644 --- a/website/docs/docs/dbt-cloud-apis/sl-jdbc.md +++ b/website/docs/docs/dbt-cloud-apis/sl-jdbc.md @@ -217,7 +217,7 @@ select * from {{ Where filters in API allow for a filter list or string. We recommend using the filter list for production application as this format will realize all benefits from predicate pushdown where possible. -Where Filters have a few objects that can be used: +Where Filters have a few objects that you can use: - `Dimension()` - This is used for any categorical or time dimensions. If used for a time dimension, granularity is required - `Dimension('metric_time').grain('week')` or `Dimension('customer__country')` From 9c850c799fa1ee0572134dba637db7c16fbe1192 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Wed, 23 Aug 2023 14:07:07 +0100 Subject: [PATCH 134/486] Update website/docs/docs/dbt-cloud-apis/sl-jdbc.md --- website/docs/docs/dbt-cloud-apis/sl-jdbc.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/dbt-cloud-apis/sl-jdbc.md b/website/docs/docs/dbt-cloud-apis/sl-jdbc.md index 45aef7157e1..3db72c845b7 100644 --- a/website/docs/docs/dbt-cloud-apis/sl-jdbc.md +++ b/website/docs/docs/dbt-cloud-apis/sl-jdbc.md @@ -225,7 +225,7 @@ Where Filters have a few objects that you can use: Note: If you prefer more strongly typed `where` clause, you can optionally use `TimeDimension` to separate out categorical dimensions from time ones. The `TimeDimesion` input takes the time dimension name and also requires granularity - an example is `TimeDimension('metric_time', 'MONTH')`. -Use the following example to query using a `where` filter using the string format: +Use the following example to query using a `where` filter with the string format: ```bash select * from {{ From 8f458f660cd00c37685e6b1747eade7951418e13 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Wed, 23 Aug 2023 14:08:56 +0100 Subject: [PATCH 135/486] Update website/docs/docs/dbt-cloud-apis/sl-jdbc.md --- website/docs/docs/dbt-cloud-apis/sl-jdbc.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/dbt-cloud-apis/sl-jdbc.md b/website/docs/docs/dbt-cloud-apis/sl-jdbc.md index 3db72c845b7..2dc256896c3 100644 --- a/website/docs/docs/dbt-cloud-apis/sl-jdbc.md +++ b/website/docs/docs/dbt-cloud-apis/sl-jdbc.md @@ -223,7 +223,7 @@ Where Filters have a few objects that you can use: - `Entity()` - used for entities like primary and foreign keys - `Entity('order_id')` -Note: If you prefer more strongly typed `where` clause, you can optionally use `TimeDimension` to separate out categorical dimensions from time ones. The `TimeDimesion` input takes the time dimension name and also requires granularity - an example is `TimeDimension('metric_time', 'MONTH')`. +Note: If you prefer a more strongly typed `where` clause, you can optionally use the `TimeDimension` feature. This helps separate out categorical dimensions from time-related ones. The `TimeDimesion` input takes the time dimension name and also requires granularity, like this: `TimeDimension('metric_time', 'MONTH')`. Use the following example to query using a `where` filter with the string format: From 364c2d120764c19c018f600a067ddbe64680ea39 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Wed, 23 Aug 2023 14:15:20 +0100 Subject: [PATCH 136/486] Update sl-partner-integration-guide.md move the 'a note' h3s --- .../sl-partner-integration-guide.md | 37 +++++++++---------- 1 file changed, 17 insertions(+), 20 deletions(-) diff --git a/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md b/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md index 615e5729ff8..31e00e41339 100644 --- a/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md +++ b/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md @@ -4,7 +4,6 @@ id: "sl-partner-integration-guide" description: Learn about partner integration guidelines, roadmap, and connectivity. --- - import NewChanges from '/snippets/_new-sl-changes.md'; @@ -37,7 +36,7 @@ We recommend you provide users with separate input fields with these components ## Best practices on exposing metrics: -Best practices for exposing metrics is summarized into five themes: +Best practices for exposing metrics are summarized into five themes: - [Governance](#governance-and-traceability) — Recommendations on how to establish guardrails for governed data work. - [Discoverability](#discoverability) — Recommendations on how to make user-friendly data interactions. @@ -49,7 +48,7 @@ Best practices for exposing metrics is summarized into five themes: When working with more governed data, it's essential to establish clear guardrails. Here are some recommendations: -- **Aggregations control** — Users shouldn't generally be allowed to modify aggregations unless they are performing post-processing calculations on data from the Semantic Layer (such as year over year analysis). +- **Aggregations control** — Users shouldn't generally be allowed to modify aggregations unless they are performing post-processing calculations on data from the Semantic Layer (such as year-over-year analysis). - **Time series alignment and using metric_time** — Make sure users view metrics across the correct time series. When displaying metric graphs, using a non-default time aggregation dimension might lead to misleading interpretations. While users can still group by other time dimensions, they should be careful not to create trend lines with incorrect time axes.

When looking at one or multiple metrics, users should use `metric_time` as the main time dimension to guarantee they are looking at the right time series for the metric(s).

As such, when building an application, we recommend exposing `metric_time` as a separate, "special" time dimension on its own. This dimension is always going to align with all metrics and be common across them. Other time dimensions can still be looked at and grouped by, but having a clear delineation between the `metric_time` dimension and the other time dimensions is clarifying so that people do not confuse how metrics should be plotted.

Also, when a user requests a time granularity change for the main time series, the query that your application runs should use `metric_time` as this will always give you the correct slice. Note that when looking at a single metric, the primary time dimension and `metric_time` are equivalent. @@ -76,25 +75,25 @@ By implementing these recommendations, the data interaction process becomes more We recommend organizing metrics and dimensions in ways that a non-technical user can understand the data model, without needing much context: -- **Organizing Dimensions** — To help non-technical users understand the data model better, we recommend organizing dimensions based on the entity they originated from. For example, consider dimensions like `user__country` and `product__category`.

You can create groups by extracting `user` and `product` and then nest the respective dimensions under each group. This way, dimensions align with the entity or semantic model they belong to and makes them them more user-friendly and accessible. +- **Organizing Dimensions** — To help non-technical users understand the data model better, we recommend organizing dimensions based on the entity they originated from. For example, consider dimensions like `user__country` and `product__category`.

You can create groups by extracting `user` and `product` and then nest the respective dimensions under each group. This way, dimensions align with the entity or semantic model they belong to and make them more user-friendly and accessible. -- **Organizing Metrics** — The goal is to organize metrics into a hierarchy in our configurations, instead of presenting them in a long list.

This hierarchy helps you organize metrics based on a specific criteria, such as business unit or team. By providing this structured organization, users can find and navigate metrics more efficiently, enhancing their overall data analysis experience. +- **Organizing Metrics** — The goal is to organize metrics into a hierarchy in our configurations, instead of presenting them in a long list.

This hierarchy helps you organize metrics based on specific criteria, such as business unit or team. By providing this structured organization, users can find and navigate metrics more efficiently, enhancing their overall data analysis experience. ### Query flexibility Allow users to query either one metric alone without dimensions or multiple metrics with dimensions. -- Allow toggling between metrics / dimensions seamlessly. +- Allow toggling between metrics/dimensions seamlessly. - Be clear on exposing what dimensions are queryable with what metrics and hide things that don’t apply, and vice versa. - Only expose time granularities (monthly, daily, yearly) that match the available metrics. * For example, if a dbt model and its resulting semantic model have a monthly granularity, make sure querying data with a 'daily' granularity isn't available to the user. Our APIs have functionality that will help you surface the correct granularities -- We recommend that time granularity is treated as a general time dimension-specific concept and that it can be applied to more than just the primary aggregation (or `metric_time`). Consider a situation where a user wants to look at `sales` over time by `customer signup month`; in this situation, having the ability able to apply granularities to both time dimensions is crucial. Note: initially, as a starting point, it makes sense to only support `metric_time` or the primary time dimension, but we recommend expanding that as your solution evolves. +- We recommend that time granularity is treated as a general time dimension-specific concept and that it can be applied to more than just the primary aggregation (or `metric_time`). Consider a situation where a user wants to look at `sales` over time by `customer signup month`; in this situation, having the ability to apply granularities to both time dimensions is crucial. Note: Initially, as a starting point, it makes sense to only support `metric_time` or the primary time dimension, but we recommend expanding that as your solution evolves. - You should allow users to filter on date ranges and expose a calendar and nice presets for filtering these. - * For example: last 30 days, last week etc. + * For example, last 30 days, last week, and so on. ### Context and interpretation @@ -110,15 +109,6 @@ For better analysis, it's best to have the context of the metrics close to where - Allow for creating other metadata that’s useful for the metric. We can provide some of this information in our configuration (Display name, Default Granularity for View, Default Time range), but there may be other metadata that your tool wants to provide to make the metric richer. -### A note on transparency and using explain - -For transparency and additional context, we recommend you have an easy way for the user to obtain the SQL that MetricFlow generates. You can do this by appending `explain=True` to any query. This is incredibly powerful because we want to be very transparent to the user about what we're doing and do not want to be a black box. This would be mostly beneficial to a technical user. - - -### A note on Where Filters - -In the cases where our APIs support either a string or a filter list for the `where` clause, we always recommend that your application utilizes the filter list in order to gain maximum pushdown benefits. The `where` string may be more intuititive for users writing queries during testing, but it will not have the performance benefits of the filter list in a production environment. - ### Example stages of an integration These are recommendations on how to evolve a Semantic Layer integration and not a strict runbook. @@ -127,7 +117,7 @@ These are recommendations on how to evolve a Semantic Layer integration and not * Supporting and using the new [JDBC](/docs/dbt-cloud-apis/sl-jdbc) is the first step. Refer to the [dbt Semantic Layer API](/docs/dbt-cloud-apis/sl-api-overview) for more technical details. **Stage 2 - More discoverability and basic querying** -* Support listing metrics defined in project +* Support listing metrics defined in the project * Listing available dimensions based on one or many metrics * Querying defined metric values on their own or grouping by available dimensions * Display metadata from [Discovery API](/docs/dbt-cloud-apis/discovery-api) and other context @@ -135,7 +125,7 @@ These are recommendations on how to evolve a Semantic Layer integration and not **Stage 3 - More querying flexibility and better user experience (UX)** * More advanced filtering * Time filters with good presets/calendar UX - * Filtering metrics on pre-populated set of dimensions values + * Filtering metrics on a pre-populated set of dimension values * Make dimension values more user-friendly by organizing them effectively * Intelligent filtering of metrics based on available dimensions and vice versa @@ -146,7 +136,14 @@ These are recommendations on how to evolve a Semantic Layer integration and not * Querying dimensions without metrics and other more advanced querying functionality * Suggest metrics to users based on teams/identity, and so on. - +### A note on transparency and using explain + +For transparency and additional context, we recommend you have an easy way for the user to obtain the SQL that MetricFlow generates. You can do this by appending `explain=True` to any query. This is incredibly powerful because we want to be very transparent to the user about what we're doing and do not want to be a black box. This would be mostly beneficial to a technical user. + + +### A note on where filters + +In the cases where our APIs support either a string or a filter list for the `where` clause, we always recommend that your application utilizes the filter list in order to gain maximum pushdown benefits. The `where` string may be more intuitive for users writing queries during testing, but it will not have the performance benefits of the filter list in a production environment. ## Related docs From 887430d89132e00d085dbac3e637f30da79c2f43 Mon Sep 17 00:00:00 2001 From: Doug Beatty <44704949+dbeatty10@users.noreply.github.com> Date: Wed, 23 Aug 2023 07:37:36 -0600 Subject: [PATCH 137/486] Fix rendering of `config-version: 2` (and its link) --- website/docs/reference/resource-configs/plus-prefix.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/reference/resource-configs/plus-prefix.md b/website/docs/reference/resource-configs/plus-prefix.md index d8c54aa8e70..34c38655d74 100644 --- a/website/docs/reference/resource-configs/plus-prefix.md +++ b/website/docs/reference/resource-configs/plus-prefix.md @@ -5,7 +5,7 @@ title: Using the + prefix The `+` prefix is a dbt syntax feature, introduced in dbt v0.17.0, which helps disambiguate between [resource paths](/reference/resource-configs/resource-path) and configs in `dbt_project.yml` files. -It is only compatible with `dbt_project.yml` files that use [`config-version](/reference/project-configs/config-version): 2` +It is only compatible with `dbt_project.yml` files that use `[config-version](/reference/project-configs/config-version): 2` For example: From 72b68a9fdeed7e994065940dded6eae19f894f23 Mon Sep 17 00:00:00 2001 From: john-rock Date: Wed, 23 Aug 2023 09:46:01 -0400 Subject: [PATCH 138/486] remove comment --- website/api/get-discourse-comments.js | 1 - 1 file changed, 1 deletion(-) diff --git a/website/api/get-discourse-comments.js b/website/api/get-discourse-comments.js index f5080fb3fcc..4c747ce290e 100644 --- a/website/api/get-discourse-comments.js +++ b/website/api/get-discourse-comments.js @@ -75,7 +75,6 @@ async function getDiscourseComments(req, res) { comments.shift(); comments = { topicId, comments }; - //return await returnResponse(200, comments); return await res.status(200).json(comments); } catch (err) { console.log("err on getDiscourseComments", err); From e9faf48691c0cce67af5263943c02c839d8e19af Mon Sep 17 00:00:00 2001 From: john-rock Date: Wed, 23 Aug 2023 09:46:29 -0400 Subject: [PATCH 139/486] add vercel value to check if the funciton works there --- website/api/get-discourse-comments.js | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/api/get-discourse-comments.js b/website/api/get-discourse-comments.js index 4c747ce290e..28ac5bdfd7d 100644 --- a/website/api/get-discourse-comments.js +++ b/website/api/get-discourse-comments.js @@ -4,7 +4,7 @@ require("dotenv").config(); const { DISCOURSE_DEVBLOG_API_KEY , DISCOURSE_USER_SYSTEM } = process.env const DEVBLOG_PROD_URL = 'https://docs.getdbt.com/blog/' const DEV_ENV = 'dev-' -const PREVIEW_ENV = 'deploy-preview-' +const PREVIEW_ENV = 'deploy-preview-vercel' // Set API endpoint and headers let discourse_endpoint = `https://discourse.getdbt.com` From bf6db30ceb283419215b14862e473a8ce684ed88 Mon Sep 17 00:00:00 2001 From: john-rock Date: Wed, 23 Aug 2023 09:57:13 -0400 Subject: [PATCH 140/486] vercel post creation works removing test val --- website/api/get-discourse-comments.js | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/api/get-discourse-comments.js b/website/api/get-discourse-comments.js index 28ac5bdfd7d..4c747ce290e 100644 --- a/website/api/get-discourse-comments.js +++ b/website/api/get-discourse-comments.js @@ -4,7 +4,7 @@ require("dotenv").config(); const { DISCOURSE_DEVBLOG_API_KEY , DISCOURSE_USER_SYSTEM } = process.env const DEVBLOG_PROD_URL = 'https://docs.getdbt.com/blog/' const DEV_ENV = 'dev-' -const PREVIEW_ENV = 'deploy-preview-vercel' +const PREVIEW_ENV = 'deploy-preview-' // Set API endpoint and headers let discourse_endpoint = `https://discourse.getdbt.com` From 84316aedea41d1a4462895d4f0d327f2b7a568cf Mon Sep 17 00:00:00 2001 From: john-rock Date: Wed, 23 Aug 2023 10:12:20 -0400 Subject: [PATCH 141/486] update exports --- website/api/get-discourse-topics.js | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/api/get-discourse-topics.js b/website/api/get-discourse-topics.js index 9e20020ec97..d98f5eae64b 100644 --- a/website/api/get-discourse-topics.js +++ b/website/api/get-discourse-topics.js @@ -145,4 +145,4 @@ function validateItem({ key, value }) { } } -exports.handler = getDiscourseTopics +module.exports = getDiscourseTopics From 9e921bee272436e8cb4fbf54dadd4bde333cc511 Mon Sep 17 00:00:00 2001 From: Doug Beatty <44704949+dbeatty10@users.noreply.github.com> Date: Wed, 23 Aug 2023 08:16:14 -0600 Subject: [PATCH 142/486] Fix rendering of link --- website/docs/reference/resource-configs/plus-prefix.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/reference/resource-configs/plus-prefix.md b/website/docs/reference/resource-configs/plus-prefix.md index 34c38655d74..3267f52930c 100644 --- a/website/docs/reference/resource-configs/plus-prefix.md +++ b/website/docs/reference/resource-configs/plus-prefix.md @@ -5,7 +5,7 @@ title: Using the + prefix The `+` prefix is a dbt syntax feature, introduced in dbt v0.17.0, which helps disambiguate between [resource paths](/reference/resource-configs/resource-path) and configs in `dbt_project.yml` files. -It is only compatible with `dbt_project.yml` files that use `[config-version](/reference/project-configs/config-version): 2` +It is only compatible with `dbt_project.yml` files that use [`config-version`](/reference/project-configs/config-version) 2. For example: From aeba0aff77acbaac5324161da1d5f7372b4520a8 Mon Sep 17 00:00:00 2001 From: john-rock Date: Wed, 23 Aug 2023 10:23:49 -0400 Subject: [PATCH 143/486] hardcode endpoint for debugging --- website/src/components/discourse/index.js | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/website/src/components/discourse/index.js b/website/src/components/discourse/index.js index a13777d9ae7..edd78adfdec 100644 --- a/website/src/components/discourse/index.js +++ b/website/src/components/discourse/index.js @@ -39,9 +39,11 @@ export const DiscourseFeed = ({ setIsError(false) // Build function endpoint - const endpoint = process?.env?.VERCEL === '1' - ? `/api/get-discourse-topics` - : `/.netlify/functions/get-discourse-topics` + //const endpoint = process?.env?.VERCEL === '1' + // ? `/api/get-discourse-topics` + // : `/.netlify/functions/get-discourse-topics` + + const endpoint = `/api/get-discourse-topics` // If 'after' prop not passed in, set relative after date let afterDate = after From 43c10087a6ee509ce6fe97820c7db075ac861f99 Mon Sep 17 00:00:00 2001 From: john-rock Date: Wed, 23 Aug 2023 10:37:54 -0400 Subject: [PATCH 144/486] adjust return function --- website/api/get-discourse-topics.js | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/website/api/get-discourse-topics.js b/website/api/get-discourse-topics.js index d98f5eae64b..86900a884bb 100644 --- a/website/api/get-discourse-topics.js +++ b/website/api/get-discourse-topics.js @@ -1,6 +1,6 @@ const axios = require('axios') -async function getDiscourseTopics({ body }) { +async function getDiscourseTopics({ body, res }) { const { DISCOURSE_API_KEY , DISCOURSE_USER } = process.env try { @@ -58,7 +58,8 @@ async function getDiscourseTopics({ body }) { } // Return topics - return await returnResponse(200, allTopics) + //return await returnResponse(200, allTopics) + return await res.status(200).json(allTopics) } catch(err) { // Log and return the error console.log('err', err) From ba182af6be2d827f3e6e35286f254f8bd1d37d9c Mon Sep 17 00:00:00 2001 From: john-rock Date: Wed, 23 Aug 2023 10:45:11 -0400 Subject: [PATCH 145/486] add logging --- website/api/get-discourse-topics.js | 18 +++++++++++++----- 1 file changed, 13 insertions(+), 5 deletions(-) diff --git a/website/api/get-discourse-topics.js b/website/api/get-discourse-topics.js index 86900a884bb..573c99d407a 100644 --- a/website/api/get-discourse-topics.js +++ b/website/api/get-discourse-topics.js @@ -74,12 +74,20 @@ async function returnResponse(status, res) { 'Access-Control-Allow-Headers': '*', 'Access-Control-Allow-Methods': 'POST, OPTIONS' } - const resObj = { - statusCode: status, - headers, - body: JSON.stringify(res) + + try { + const resObj = { + statusCode: status, + headers, + body: JSON.stringify(res) + } + console.log('Response Object:', resObj); + + return resObj; + } catch (error) { + console.error('Error:', error); + throw error; } - return resObj } function buildQueryString(body) { From f5dc222599e192e68fe57ba9de8736d80da2eeb7 Mon Sep 17 00:00:00 2001 From: john-rock Date: Wed, 23 Aug 2023 10:55:58 -0400 Subject: [PATCH 146/486] add more logging for debugging --- website/api/get-discourse-topics.js | 3 +++ 1 file changed, 3 insertions(+) diff --git a/website/api/get-discourse-topics.js b/website/api/get-discourse-topics.js index 573c99d407a..0f35331a16d 100644 --- a/website/api/get-discourse-topics.js +++ b/website/api/get-discourse-topics.js @@ -3,6 +3,8 @@ const axios = require('axios') async function getDiscourseTopics({ body, res }) { const { DISCOURSE_API_KEY , DISCOURSE_USER } = process.env + console.log(body) + try { // Set API endpoint and headers let discourse_endpoint = `https://discourse.getdbt.com` @@ -17,6 +19,7 @@ async function getDiscourseTopics({ body, res }) { // Get topics from Discourse let { data: { posts, topics } } = await axios.get(`${discourse_endpoint}/search?q=${query}`, { headers }) + console.log('API Response:', posts, topics); // Return empty array if no topics found for search query // 200 status is used to prevent triggering Datadog alerts From 29c0354541a164e05eb287c6c295e1f707f9f8b4 Mon Sep 17 00:00:00 2001 From: john-rock Date: Wed, 23 Aug 2023 11:03:19 -0400 Subject: [PATCH 147/486] add timeout --- website/api/get-discourse-topics.js | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/website/api/get-discourse-topics.js b/website/api/get-discourse-topics.js index 0f35331a16d..c71ff883b36 100644 --- a/website/api/get-discourse-topics.js +++ b/website/api/get-discourse-topics.js @@ -1,5 +1,7 @@ const axios = require('axios') +const TIMEOUT_DURATION = 10000; + async function getDiscourseTopics({ body, res }) { const { DISCOURSE_API_KEY , DISCOURSE_USER } = process.env @@ -18,7 +20,7 @@ async function getDiscourseTopics({ body, res }) { if(!query) throw new Error('Unable to build query string.') // Get topics from Discourse - let { data: { posts, topics } } = await axios.get(`${discourse_endpoint}/search?q=${query}`, { headers }) + let { data: { posts, topics } } = await axios.get(`${discourse_endpoint}/search?q=${query}`, { headers, timeout: TIMEOUT_DURATION }) console.log('API Response:', posts, topics); // Return empty array if no topics found for search query From 235e0170c3b01e0856ca5b117eeea0a362954454 Mon Sep 17 00:00:00 2001 From: john-rock Date: Wed, 23 Aug 2023 11:32:14 -0400 Subject: [PATCH 148/486] remoe json aprse --- website/api/get-discourse-topics.js | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/website/api/get-discourse-topics.js b/website/api/get-discourse-topics.js index c71ff883b36..0f35331a16d 100644 --- a/website/api/get-discourse-topics.js +++ b/website/api/get-discourse-topics.js @@ -1,7 +1,5 @@ const axios = require('axios') -const TIMEOUT_DURATION = 10000; - async function getDiscourseTopics({ body, res }) { const { DISCOURSE_API_KEY , DISCOURSE_USER } = process.env @@ -20,7 +18,7 @@ async function getDiscourseTopics({ body, res }) { if(!query) throw new Error('Unable to build query string.') // Get topics from Discourse - let { data: { posts, topics } } = await axios.get(`${discourse_endpoint}/search?q=${query}`, { headers, timeout: TIMEOUT_DURATION }) + let { data: { posts, topics } } = await axios.get(`${discourse_endpoint}/search?q=${query}`, { headers }) console.log('API Response:', posts, topics); // Return empty array if no topics found for search query From 28dde53b2d9bb1be1d1002a68007042f09ffe8ce Mon Sep 17 00:00:00 2001 From: john-rock Date: Wed, 23 Aug 2023 11:45:03 -0400 Subject: [PATCH 149/486] more debugging --- website/api/get-discourse-topics.js | 2 ++ 1 file changed, 2 insertions(+) diff --git a/website/api/get-discourse-topics.js b/website/api/get-discourse-topics.js index 0f35331a16d..39e9283195d 100644 --- a/website/api/get-discourse-topics.js +++ b/website/api/get-discourse-topics.js @@ -16,6 +16,8 @@ async function getDiscourseTopics({ body, res }) { const query = buildQueryString(body) if(!query) throw new Error('Unable to build query string.') + + console.log('Query String:', query) // Get topics from Discourse let { data: { posts, topics } } = await axios.get(`${discourse_endpoint}/search?q=${query}`, { headers }) From 7d0f80bdafa1f4f619587559e0ed92cd74899977 Mon Sep 17 00:00:00 2001 From: Doug Beatty <44704949+dbeatty10@users.noreply.github.com> Date: Wed, 23 Aug 2023 09:54:57 -0600 Subject: [PATCH 150/486] Invert the statement since `config-version` is optional beginning dbt v1.5 --- website/docs/reference/resource-configs/plus-prefix.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/reference/resource-configs/plus-prefix.md b/website/docs/reference/resource-configs/plus-prefix.md index 3267f52930c..c1adbc0286a 100644 --- a/website/docs/reference/resource-configs/plus-prefix.md +++ b/website/docs/reference/resource-configs/plus-prefix.md @@ -5,7 +5,7 @@ title: Using the + prefix The `+` prefix is a dbt syntax feature, introduced in dbt v0.17.0, which helps disambiguate between [resource paths](/reference/resource-configs/resource-path) and configs in `dbt_project.yml` files. -It is only compatible with `dbt_project.yml` files that use [`config-version`](/reference/project-configs/config-version) 2. +It is not compatible with `dbt_project.yml` files that use [`config-version`](/reference/project-configs/config-version) 1. For example: From 7e8dfe008806bf9b373f5c4e74f5c7a32af48e91 Mon Sep 17 00:00:00 2001 From: john-rock Date: Wed, 23 Aug 2023 12:39:24 -0400 Subject: [PATCH 151/486] testing --- website/api/get-discourse-topics.js | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/website/api/get-discourse-topics.js b/website/api/get-discourse-topics.js index 39e9283195d..5a8d4e41d92 100644 --- a/website/api/get-discourse-topics.js +++ b/website/api/get-discourse-topics.js @@ -4,6 +4,9 @@ async function getDiscourseTopics({ body, res }) { const { DISCOURSE_API_KEY , DISCOURSE_USER } = process.env console.log(body) + const queryTest = buildQueryString(body) + + console.log('Query String:', queryTest) try { // Set API endpoint and headers @@ -16,8 +19,6 @@ async function getDiscourseTopics({ body, res }) { const query = buildQueryString(body) if(!query) throw new Error('Unable to build query string.') - - console.log('Query String:', query) // Get topics from Discourse let { data: { posts, topics } } = await axios.get(`${discourse_endpoint}/search?q=${query}`, { headers }) From 79fffa4b80fa1a2770ece5691f71ac93f3f649af Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Wed, 23 Aug 2023 17:39:36 +0100 Subject: [PATCH 152/486] Update _redirects move redirects to the top --- website/static/_redirects | 37 ++++++++++++++++++++----------------- 1 file changed, 20 insertions(+), 17 deletions(-) diff --git a/website/static/_redirects b/website/static/_redirects index 7c2cc143cdc..50d87ee7122 100644 --- a/website/static/_redirects +++ b/website/static/_redirects @@ -1,3 +1,22 @@ +# Deprecating Discovery API (FKA Metadata API) legacy endpoints + +/docs/dbt-cloud-apis/discovery-schema-model /docs/dbt-cloud-apis/discovery-schema-job-model 301 +/docs/dbt-cloud-apis/discovery-schema-models /docs/dbt-cloud-apis/discovery-schema-job-models 301 +/docs/dbt-cloud-apis/discovery-schema-modelByEnv /docs/dbt-cloud-apis/discovery-schema-environment-applied-modelHistoricalRuns 301 +/docs/dbt-cloud-apis/discovery-schema-metric /docs/dbt-cloud-apis/discovery-schema-job-metric 301 +/docs/dbt-cloud-apis/discovery-schema-metrics /docs/dbt-cloud-apis/discovery-schema-job-metrics 301 +/docs/dbt-cloud-apis/discovery-schema-source /docs/dbt-cloud-apis/discovery-schema-job-source 301 +/docs/dbt-cloud-apis/discovery-schema-sources /docs/dbt-cloud-apis/discovery-schema-job-sources 301 +/docs/dbt-cloud-apis/discovery-schema-seed /docs/dbt-cloud-apis/discovery-schema-job-seed 301 +/docs/dbt-cloud-apis/discovery-schema-seeds /docs/dbt-cloud-apis/discovery-schema-job-seeds 301 +/docs/dbt-cloud-apis/discovery-schema-snapshots /docs/dbt-cloud-apis/discovery-schema-job-snapshots 301 +/docs/dbt-cloud-apis/discovery-schema-test /docs/dbt-cloud-apis/discovery-schema-job-test 301 +/docs/dbt-cloud-apis/discovery-schema-tests /docs/dbt-cloud-apis/discovery-schema-job-tests 301 +/docs/dbt-cloud-apis/discovery-schema-exposure /docs/dbt-cloud-apis/discovery-schema-job-exposure 301 +/docs/dbt-cloud-apis/discovery-schema-exposures /docs/dbt-cloud-apis/discovery-schema-job-exposures 301 + +# deploy redirects + /docs/deploy/job-triggers /docs/deploy/deploy-jobs 301 /docs/deploy/job-settings /docs/deploy/deploy-jobs 301 /docs/deploy/dbt-cloud-job /docs/deploy/deploy-jobs 301 @@ -23,6 +42,7 @@ https://docs.getdbt.com/blog/how-to-design-and-structure-metrics /docs/use-dbt- /docs/cloud/manage-access/licenses-and-groups /docs/cloud/manage-access/about-user-access 301 /docs/deploy/cloud-ci-job /docs/deploy/continuous-integration 301 + ## quickstarts redirect again /docs/quickstarts/dbt-cloud/bigquery /quickstarts/bigquery 301 @@ -113,23 +133,6 @@ https://docs.getdbt.com/blog/how-to-design-and-structure-metrics /docs/use-dbt- /docs/core/connection-profiles#understanding-threads /docs/running-a-dbt-project/using-threads 301 -# Deprecating Discovery API (FKA Metadata API) legacy endpoints - -/docs/dbt-cloud-apis/discovery-schema-model /docs/dbt-cloud-apis/discovery-schema-job-model 301 -/docs/dbt-cloud-apis/discovery-schema-models /docs/dbt-cloud-apis/discovery-schema-job-models 301 -/docs/dbt-cloud-apis/discovery-schema-modelByEnv /docs/dbt-cloud-apis/discovery-schema-environment-applied-modelHistoricalRuns 301 -/docs/dbt-cloud-apis/discovery-schema-metric /docs/dbt-cloud-apis/discovery-schema-job-metric 301 -/docs/dbt-cloud-apis/discovery-schema-metrics /docs/dbt-cloud-apis/discovery-schema-job-metrics 301 -/docs/dbt-cloud-apis/discovery-schema-source /docs/dbt-cloud-apis/discovery-schema-job-source 301 -/docs/dbt-cloud-apis/discovery-schema-sources /docs/dbt-cloud-apis/discovery-schema-job-sources 301 -/docs/dbt-cloud-apis/discovery-schema-seed /docs/dbt-cloud-apis/discovery-schema-job-seed 301 -/docs/dbt-cloud-apis/discovery-schema-seeds /docs/dbt-cloud-apis/discovery-schema-job-seeds 301 -/docs/dbt-cloud-apis/discovery-schema-snapshots /docs/dbt-cloud-apis/discovery-schema-job-snapshots 301 -/docs/dbt-cloud-apis/discovery-schema-test /docs/dbt-cloud-apis/discovery-schema-job-test 301 -/docs/dbt-cloud-apis/discovery-schema-tests /docs/dbt-cloud-apis/discovery-schema-job-tests 301 -/docs/dbt-cloud-apis/discovery-schema-exposure /docs/dbt-cloud-apis/discovery-schema-job-exposure 301 -/docs/dbt-cloud-apis/discovery-schema-exposures /docs/dbt-cloud-apis/discovery-schema-job-exposures 301 - # PrivateLink to Secure redirects /docs/cloud/privatelink/about-privatelink /docs/cloud/secure/about-privatelink 301 /docs/cloud/privatelink/snowflake-privatelink /docs/cloud/secure/about-privatelink 301 From c15affcc51c7f029c3e2022b0282f8f1f21d9671 Mon Sep 17 00:00:00 2001 From: john-rock Date: Wed, 23 Aug 2023 12:48:12 -0400 Subject: [PATCH 153/486] hardcode query --- website/api/get-discourse-topics.js | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) diff --git a/website/api/get-discourse-topics.js b/website/api/get-discourse-topics.js index 5a8d4e41d92..edc18c27ccf 100644 --- a/website/api/get-discourse-topics.js +++ b/website/api/get-discourse-topics.js @@ -4,9 +4,6 @@ async function getDiscourseTopics({ body, res }) { const { DISCOURSE_API_KEY , DISCOURSE_USER } = process.env console.log(body) - const queryTest = buildQueryString(body) - - console.log('Query String:', queryTest) try { // Set API endpoint and headers @@ -17,7 +14,7 @@ async function getDiscourseTopics({ body, res }) { 'Api-Username': DISCOURSE_USER, } - const query = buildQueryString(body) + const query = buildQueryString('status%3Asolved%20order%3Alatest_topic%20after%3A2000-01-01%20tags%3Awee%20%23help%20') if(!query) throw new Error('Unable to build query string.') // Get topics from Discourse From 31a5504a988a94630ce1d066ead8602c7b10b308 Mon Sep 17 00:00:00 2001 From: john-rock Date: Wed, 23 Aug 2023 12:48:45 -0400 Subject: [PATCH 154/486] hardcode val --- website/api/get-discourse-topics.js | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/api/get-discourse-topics.js b/website/api/get-discourse-topics.js index edc18c27ccf..f356dbaf3d7 100644 --- a/website/api/get-discourse-topics.js +++ b/website/api/get-discourse-topics.js @@ -14,7 +14,7 @@ async function getDiscourseTopics({ body, res }) { 'Api-Username': DISCOURSE_USER, } - const query = buildQueryString('status%3Asolved%20order%3Alatest_topic%20after%3A2000-01-01%20tags%3Awee%20%23help%20') + const query = 'status%3Asolved%20order%3Alatest_topic%20after%3A2000-01-01%20tags%3Awee%20%23help%20' if(!query) throw new Error('Unable to build query string.') // Get topics from Discourse From 29f2be1e1e1d031d7f0b7b7776bc03e9d8750fc3 Mon Sep 17 00:00:00 2001 From: john-rock Date: Wed, 23 Aug 2023 13:13:25 -0400 Subject: [PATCH 155/486] add logging --- website/api/get-discourse-topics.js | 9 +++++++-- 1 file changed, 7 insertions(+), 2 deletions(-) diff --git a/website/api/get-discourse-topics.js b/website/api/get-discourse-topics.js index f356dbaf3d7..f19bb14cbd4 100644 --- a/website/api/get-discourse-topics.js +++ b/website/api/get-discourse-topics.js @@ -5,6 +5,7 @@ async function getDiscourseTopics({ body, res }) { console.log(body) + try { // Set API endpoint and headers let discourse_endpoint = `https://discourse.getdbt.com` @@ -14,7 +15,7 @@ async function getDiscourseTopics({ body, res }) { 'Api-Username': DISCOURSE_USER, } - const query = 'status%3Asolved%20order%3Alatest_topic%20after%3A2000-01-01%20tags%3Awee%20%23help%20' + const query = buildQueryString(body) if(!query) throw new Error('Unable to build query string.') // Get topics from Discourse @@ -100,7 +101,11 @@ function buildQueryString(body) { let query = '' // check param and apply to query if set - for(const [key, value] of Object.entries(JSON.parse(body))) { + for (const [key, value] of Object.entries(body)) { + + console.log('key:', key); + console.log('value:', value); + // validate categories // if valid, add to query string if(validateItem({ key, value })) { From 4fe63749d91ad3774e352e8ba84b78aa701a4c08 Mon Sep 17 00:00:00 2001 From: john-rock Date: Wed, 23 Aug 2023 13:37:11 -0400 Subject: [PATCH 156/486] rever to old return --- website/api/get-discourse-topics.js | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/website/api/get-discourse-topics.js b/website/api/get-discourse-topics.js index f19bb14cbd4..5ce7c31b130 100644 --- a/website/api/get-discourse-topics.js +++ b/website/api/get-discourse-topics.js @@ -62,8 +62,8 @@ async function getDiscourseTopics({ body, res }) { } // Return topics - //return await returnResponse(200, allTopics) - return await res.status(200).json(allTopics) + return await returnResponse(200, allTopics) + //return await res.status(200).json(allTopics) } catch(err) { // Log and return the error console.log('err', err) From 31ced78d91542a1ed361816cd4752a9f327e2370 Mon Sep 17 00:00:00 2001 From: john-rock Date: Wed, 23 Aug 2023 14:13:11 -0400 Subject: [PATCH 157/486] add body res --- website/api/get-discourse-topics.js | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/website/api/get-discourse-topics.js b/website/api/get-discourse-topics.js index 5ce7c31b130..efde0011173 100644 --- a/website/api/get-discourse-topics.js +++ b/website/api/get-discourse-topics.js @@ -1,7 +1,9 @@ const axios = require('axios') -async function getDiscourseTopics({ body, res }) { +async function getDiscourseTopics(request, response) { const { DISCOURSE_API_KEY , DISCOURSE_USER } = process.env + + const body = request.body console.log(body) @@ -62,8 +64,8 @@ async function getDiscourseTopics({ body, res }) { } // Return topics - return await returnResponse(200, allTopics) - //return await res.status(200).json(allTopics) + //return await returnResponse(200, allTopics) + return await response.status(200).json(allTopics) } catch(err) { // Log and return the error console.log('err', err) From 2d3de9e6e1eb9dba452bd5bf7a560a4b75c2736f Mon Sep 17 00:00:00 2001 From: john-rock Date: Wed, 23 Aug 2023 14:24:41 -0400 Subject: [PATCH 158/486] remove consoles from functions --- website/api/get-discourse-comments.js | 15 +++++++-------- website/api/get-discourse-topics.js | 4 ---- 2 files changed, 7 insertions(+), 12 deletions(-) diff --git a/website/api/get-discourse-comments.js b/website/api/get-discourse-comments.js index 4c747ce290e..9d1b3869896 100644 --- a/website/api/get-discourse-comments.js +++ b/website/api/get-discourse-comments.js @@ -14,11 +14,10 @@ let headers = { 'Api-Username': DISCOURSE_USER_SYSTEM, } -async function getDiscourseComments(req, res) { +async function getDiscourseComments(request, response) { let topicId, comments, DISCOURSE_TOPIC_ID; - console.log(req.query) - const blogUrl = await getBlogUrl(req) + const blogUrl = await getBlogUrl(request) if (blogUrl === DEVBLOG_PROD_URL) { DISCOURSE_TOPIC_ID = 21 @@ -33,9 +32,9 @@ async function getDiscourseComments(req, res) { : blogUrl.includes("localhost") ? DEV_ENV : PREVIEW_ENV; - const postTitle = `${env}${req.query.title}`; - const postSlug = req.query.slug; - const cleanSlug = cleanUrl(req.query.slug); + const postTitle = `${env}${request.query.title}`; + const postSlug = request.query.slug; + const cleanSlug = cleanUrl(request.query.slug); const externalId = truncateString(`${env}${cleanSlug}`); console.table({ @@ -75,10 +74,10 @@ async function getDiscourseComments(req, res) { comments.shift(); comments = { topicId, comments }; - return await res.status(200).json(comments); + return await response.status(200).json(comments); } catch (err) { console.log("err on getDiscourseComments", err); - return await res.status(500).json({ error: "Unable to get topics from Discourse." }); + return await response.status(500).json({ error: "Unable to get topics from Discourse." }); } } diff --git a/website/api/get-discourse-topics.js b/website/api/get-discourse-topics.js index efde0011173..e2e694c243c 100644 --- a/website/api/get-discourse-topics.js +++ b/website/api/get-discourse-topics.js @@ -5,9 +5,6 @@ async function getDiscourseTopics(request, response) { const body = request.body - console.log(body) - - try { // Set API endpoint and headers let discourse_endpoint = `https://discourse.getdbt.com` @@ -22,7 +19,6 @@ async function getDiscourseTopics(request, response) { // Get topics from Discourse let { data: { posts, topics } } = await axios.get(`${discourse_endpoint}/search?q=${query}`, { headers }) - console.log('API Response:', posts, topics); // Return empty array if no topics found for search query // 200 status is used to prevent triggering Datadog alerts From be6cbe37b42bfa9faedde1b835344ce1861d7743 Mon Sep 17 00:00:00 2001 From: john-rock Date: Wed, 23 Aug 2023 14:29:49 -0400 Subject: [PATCH 159/486] remove console --- website/api/get-discourse-topics.js | 4 ---- 1 file changed, 4 deletions(-) diff --git a/website/api/get-discourse-topics.js b/website/api/get-discourse-topics.js index e2e694c243c..2481f866cca 100644 --- a/website/api/get-discourse-topics.js +++ b/website/api/get-discourse-topics.js @@ -100,10 +100,6 @@ function buildQueryString(body) { // check param and apply to query if set for (const [key, value] of Object.entries(body)) { - - console.log('key:', key); - console.log('value:', value); - // validate categories // if valid, add to query string if(validateItem({ key, value })) { From af596e4051b012c54cc6a2ffb9a4981f05aa303e Mon Sep 17 00:00:00 2001 From: john-rock Date: Wed, 23 Aug 2023 14:56:42 -0400 Subject: [PATCH 160/486] remove redundent redirect --- website/vercel.json | 6 +----- 1 file changed, 1 insertion(+), 5 deletions(-) diff --git a/website/vercel.json b/website/vercel.json index 833588fca51..c5fb0638fba 100644 --- a/website/vercel.json +++ b/website/vercel.json @@ -1,5 +1,6 @@ { "cleanUrls": true, + "trailingSlash": false, "redirects": [ { "source": "/docs/deploy/job-triggers", @@ -901,11 +902,6 @@ "destination": "/quickstarts/bigquery", "permanent": true }, - { - "source": "/quickstarts/databricks", - "destination": "/quickstarts/databricks", - "permanent": true - }, { "source": "/docs/quickstarts/dbt-cloud/redshift", "destination": "/quickstarts/redshift", From 0ce8f77f77f245e92de366170c12891e044389ef Mon Sep 17 00:00:00 2001 From: john-rock Date: Wed, 23 Aug 2023 15:10:54 -0400 Subject: [PATCH 161/486] remove console log --- website/api/get-discourse-topics.js | 1 - 1 file changed, 1 deletion(-) diff --git a/website/api/get-discourse-topics.js b/website/api/get-discourse-topics.js index 2481f866cca..e15d8ee0032 100644 --- a/website/api/get-discourse-topics.js +++ b/website/api/get-discourse-topics.js @@ -83,7 +83,6 @@ async function returnResponse(status, res) { headers, body: JSON.stringify(res) } - console.log('Response Object:', resObj); return resObj; } catch (error) { From 5c14949b1af8451039573685f62a40fbeb9128cf Mon Sep 17 00:00:00 2001 From: john-rock Date: Wed, 23 Aug 2023 15:30:41 -0400 Subject: [PATCH 162/486] test vercel system en var --- website/src/components/discourse/index.js | 11 +++++++---- 1 file changed, 7 insertions(+), 4 deletions(-) diff --git a/website/src/components/discourse/index.js b/website/src/components/discourse/index.js index edd78adfdec..68d0b1999a0 100644 --- a/website/src/components/discourse/index.js +++ b/website/src/components/discourse/index.js @@ -2,6 +2,8 @@ import React, { useState, useEffect } from 'react' import axios from 'axios' import feedStyles from './styles.module.css'; +const { VERCEL } = process.env + // Bare component with no default props set export const DiscourseFeed = ({ order, @@ -39,11 +41,12 @@ export const DiscourseFeed = ({ setIsError(false) // Build function endpoint - //const endpoint = process?.env?.VERCEL === '1' - // ? `/api/get-discourse-topics` - // : `/.netlify/functions/get-discourse-topics` + const endpoint = VERCEL + ? `/api/get-discourse-topics` + : `/.netlify/functions/get-discourse-topics` - const endpoint = `/api/get-discourse-topics` + console.log(endpoint) + console.log(process.env.VERCEL) // If 'after' prop not passed in, set relative after date let afterDate = after From 7cb2aac664f0c0b2862a1c5f1b9d7dc0444ad49e Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Wed, 23 Aug 2023 15:40:10 -0400 Subject: [PATCH 163/486] Update website/docs/guides/migration/versions/01-upgrading-to-v1.6.md --- website/docs/guides/migration/versions/01-upgrading-to-v1.6.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/guides/migration/versions/01-upgrading-to-v1.6.md b/website/docs/guides/migration/versions/01-upgrading-to-v1.6.md index 9cfdf9cd7a5..8884956e64b 100644 --- a/website/docs/guides/migration/versions/01-upgrading-to-v1.6.md +++ b/website/docs/guides/migration/versions/01-upgrading-to-v1.6.md @@ -27,7 +27,7 @@ The [spec for metrics](https://github.com/dbt-labs/dbt-core/discussions/7456) ha ::: -If your dbt project defines metrics, you'll need to migrate to dbt v1.6 because the YAML spec has moved from dbt_metrics to MetricFlow. This means any tests you have won't compile on v1.5 or older. +If your dbt project defines metrics, you must migrate to dbt v1.6 because the YAML spec has moved from dbt_metrics to MetricFlow. Any tests you have won't compile on v1.5 or older. - dbt Core v1.6 does not support Python 3.7, which reached End Of Life on June 23. Support Python versions are 3.8, 3.9, 3.10, and 3.11. - As part of the [dbt Semantic layer](/docs/use-dbt-semantic-layer/dbt-sl) re-launch (in beta), the spec for `metrics` has changed significantly. Refer to the [migration guide](/guides/migration/sl-migration) for more info on how to migrate to the re-launched dbt Semantic Layer. From 6f093de550aafec4679b707e7fb9fd097b217672 Mon Sep 17 00:00:00 2001 From: john-rock Date: Wed, 23 Aug 2023 16:16:09 -0400 Subject: [PATCH 164/486] adding vercel context for api endpoint --- website/docusaurus.config.js | 3 +++ website/src/components/discourse/index.js | 10 ++++++---- 2 files changed, 9 insertions(+), 4 deletions(-) diff --git a/website/docusaurus.config.js b/website/docusaurus.config.js index 24030624290..5d7a71469e3 100644 --- a/website/docusaurus.config.js +++ b/website/docusaurus.config.js @@ -47,6 +47,9 @@ var siteSettings = { onBrokenLinks: "throw", onBrokenMarkdownLinks: "throw", trailingSlash: false, + customFields: { + isVercel: process.env.REACT_APP_VERCEL_ENV + }, themeConfig: { docs:{ sidebar: { diff --git a/website/src/components/discourse/index.js b/website/src/components/discourse/index.js index 68d0b1999a0..04bec973396 100644 --- a/website/src/components/discourse/index.js +++ b/website/src/components/discourse/index.js @@ -1,8 +1,7 @@ import React, { useState, useEffect } from 'react' import axios from 'axios' import feedStyles from './styles.module.css'; - -const { VERCEL } = process.env +import useDocusaurusContext from '@docusaurus/useDocusaurusContext'; // Bare component with no default props set export const DiscourseFeed = ({ @@ -26,6 +25,9 @@ export const DiscourseFeed = ({ styles = {} }) => { + const { siteConfig: {customFields} } = useDocusaurusContext(); + const siteConfig = useDocusaurusContext(); + const [topics, setTopics] = useState([]) const [loading, setLoading] = useState(true) const [isError, setIsError] = useState(false) @@ -41,12 +43,12 @@ export const DiscourseFeed = ({ setIsError(false) // Build function endpoint - const endpoint = VERCEL + const endpoint = customFields?.isVercel ? `/api/get-discourse-topics` : `/.netlify/functions/get-discourse-topics` console.log(endpoint) - console.log(process.env.VERCEL) + console.log(siteConfig) // If 'after' prop not passed in, set relative after date let afterDate = after From e54f7e0e540581945c582b791df961408d60c022 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Wed, 23 Aug 2023 16:16:57 -0400 Subject: [PATCH 165/486] Updating Billing language --- website/docs/docs/cloud/billing.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/billing.md b/website/docs/docs/cloud/billing.md index e271240e899..9f1b53fa62d 100644 --- a/website/docs/docs/cloud/billing.md +++ b/website/docs/docs/cloud/billing.md @@ -70,7 +70,7 @@ All included successful models built numbers above reflect our most current pric :::note Legacy pricing plans -Customers who purchased the dbt Cloud Team plan before August 8, 2023, may be on a legacy pricing plan that only includes seat-based charges. Legacy plan pricing will be supported through at least July 2024, although we may not release all new features to legacy plan subscribers. Any changes to your current plan pricing will be communicated in advance according to our Terms of Use. To ensure you have access to new features for each plan, you can upgrade now or [contact us](mailto:support@getdbt.com) with questions. +Customers who purchased the dbt Cloud Team plan before August 11, 2023, remain on a legacy pricing plan as long as their account is in good standing. The legacy pricing plan is based on seats and includes unlimited models subject to reasonable use. dbt Labs may institute use limits if reasonable use is exceeded. Additional features, upgrades, or updates may be subject to separate charges. Any changes to your current plan pricing will be communicated in advance according to our Terms of Use. ::: From 0a01ac043e65c77744d8b086b7beba76e1ece8f6 Mon Sep 17 00:00:00 2001 From: john-rock Date: Wed, 23 Aug 2023 16:26:37 -0400 Subject: [PATCH 166/486] add custom env --- website/docusaurus.config.js | 2 +- website/src/components/discourse/index.js | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/website/docusaurus.config.js b/website/docusaurus.config.js index 5d7a71469e3..a1fc20f458f 100644 --- a/website/docusaurus.config.js +++ b/website/docusaurus.config.js @@ -48,7 +48,7 @@ var siteSettings = { onBrokenMarkdownLinks: "throw", trailingSlash: false, customFields: { - isVercel: process.env.REACT_APP_VERCEL_ENV + isVercel: process.env.REACT_APP_VERCEL }, themeConfig: { docs:{ diff --git a/website/src/components/discourse/index.js b/website/src/components/discourse/index.js index 04bec973396..dc29bfb67ae 100644 --- a/website/src/components/discourse/index.js +++ b/website/src/components/discourse/index.js @@ -43,7 +43,7 @@ export const DiscourseFeed = ({ setIsError(false) // Build function endpoint - const endpoint = customFields?.isVercel + const endpoint = customFields?.isVercel === '1' ? `/api/get-discourse-topics` : `/.netlify/functions/get-discourse-topics` From d90204806a065182fee569946c370f222268d819 Mon Sep 17 00:00:00 2001 From: john-rock Date: Wed, 23 Aug 2023 16:38:28 -0400 Subject: [PATCH 167/486] add endpoint check --- website/src/components/discourse/index.js | 4 ---- website/src/components/discourseBlogComments/index.js | 11 ++++++----- 2 files changed, 6 insertions(+), 9 deletions(-) diff --git a/website/src/components/discourse/index.js b/website/src/components/discourse/index.js index dc29bfb67ae..759903a175f 100644 --- a/website/src/components/discourse/index.js +++ b/website/src/components/discourse/index.js @@ -26,7 +26,6 @@ export const DiscourseFeed = ({ }) => { const { siteConfig: {customFields} } = useDocusaurusContext(); - const siteConfig = useDocusaurusContext(); const [topics, setTopics] = useState([]) const [loading, setLoading] = useState(true) @@ -47,9 +46,6 @@ export const DiscourseFeed = ({ ? `/api/get-discourse-topics` : `/.netlify/functions/get-discourse-topics` - console.log(endpoint) - console.log(siteConfig) - // If 'after' prop not passed in, set relative after date let afterDate = after if(!afterDate) { diff --git a/website/src/components/discourseBlogComments/index.js b/website/src/components/discourseBlogComments/index.js index 01407150c93..091f1047cb7 100644 --- a/website/src/components/discourseBlogComments/index.js +++ b/website/src/components/discourseBlogComments/index.js @@ -2,9 +2,12 @@ import React, { useState, useEffect } from 'react' import styles from './styles.module.css' import axios from 'axios' import sanitizeHtml from 'sanitize-html'; +import useDocusaurusContext from '@docusaurus/useDocusaurusContext'; export const DiscourseBlogComments = ({title,slug}) => { + const { siteConfig: {customFields} } = useDocusaurusContext(); + const DISCOURSE_TOPIC_ENDPOINT = `https://discourse.getdbt.com/t/` const commentsToLoad = 6 @@ -28,11 +31,9 @@ export const DiscourseBlogComments = ({title,slug}) => { const fetchData = async () => { try { - //const endpoint = process?.env?.VERCEL === '1' - //? `/api/get-discourse-comments?title=${title}&slug=${slug}` - //: `/.netlify/functions/get-discourse-comments?title=${title}&slug=${slug}` - - const endpoint = `/api/get-discourse-comments?title=${title}&slug=${slug}` + const endpoint = customFields?.isVercel === '1' + ? `/api/get-discourse-comments?title=${title}&slug=${slug}` + : `/.netlify/functions/get-discourse-comments?title=${title}&slug=${slug}` const { data } = await axios.get(endpoint) From 7a2c819ea56cd2d490f26f6cbd083886e8cdc845 Mon Sep 17 00:00:00 2001 From: rpourzand Date: Wed, 23 Aug 2023 19:11:53 -0700 Subject: [PATCH 168/486] Update sl-jdbc.md I always find typos at the weirdest time of night. Found a typo in our metrics for dimensions query --- website/docs/docs/dbt-cloud-apis/sl-jdbc.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/dbt-cloud-apis/sl-jdbc.md b/website/docs/docs/dbt-cloud-apis/sl-jdbc.md index 79864e200a5..75ac38b4064 100644 --- a/website/docs/docs/dbt-cloud-apis/sl-jdbc.md +++ b/website/docs/docs/dbt-cloud-apis/sl-jdbc.md @@ -93,7 +93,7 @@ Note, `metrics` is a required argument that lists with one or multiple metrics i ```bash select * from {{ -semantic_layer.dimension_values(metrics=["food_order_amount"], group_by="customer__customer_name")}} +semantic_layer.dimension_values(metrics=['food_order_amount'], group_by=['customer__customer_name'])}} ``` From 4fcd1dc1a0671193dc20554f88d0b4a83c33207b Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 24 Aug 2023 12:55:29 +0100 Subject: [PATCH 169/486] Update website/docs/docs/build/sl-getting-started.md --- website/docs/docs/build/sl-getting-started.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/build/sl-getting-started.md b/website/docs/docs/build/sl-getting-started.md index d14e2097f6d..1cf4b445e9b 100644 --- a/website/docs/docs/build/sl-getting-started.md +++ b/website/docs/docs/build/sl-getting-started.md @@ -33,7 +33,7 @@ To fully experience the power of a universal [dbt Semantic Layer](/docs/use-dbt- - Have both your production and development environments running dbt version 1.6 or higher. Refer to [upgrade in dbt Cloud](/docs/dbt-versions/upgrade-core-in-cloud) for more info. - Use Snowflake, BigQuery, Databricks, Postgres (CLI only), or Redshift. (dbt Cloud Postgres support coming soon) - Create a successful run in the environment where you configure the Semantic Layer. - - **Note:** Semantic Layer currently supports the Deployment environment. (_development experience coming soon_) + - **Note:** Semantic Layer currently supports the Deployment environment for querying. (_development querying experience coming soon_) - Set up the [Semantic Layer API](/docs/dbt-cloud-apis/sl-api-overview) in the integrated tool to import metric definitions. - **Note:** dbt Core or Developer accounts can only query data manually using the [MetricFlow CLI](/docs/build/metricflow-cli) and SQL. To dynamically query metrics using external tools, you must have a dbt Cloud [Team or Enterprise](https://www.getdbt.com/pricing/) account with access to the Semantic Layer API.
- Understand [MetricFlow's](/docs/build/about-metricflow) key concepts, which powers the revamped dbt Semantic Layer. From 59903601ff8ed2f147d36affec253325c7c2853e Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 24 Aug 2023 12:55:36 +0100 Subject: [PATCH 170/486] Update website/snippets/_v2-sl-prerequisites.md --- website/snippets/_v2-sl-prerequisites.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/snippets/_v2-sl-prerequisites.md b/website/snippets/_v2-sl-prerequisites.md index 036bd93a761..632e2af6412 100644 --- a/website/snippets/_v2-sl-prerequisites.md +++ b/website/snippets/_v2-sl-prerequisites.md @@ -7,7 +7,7 @@ To use the Semantic Layer, you must: - Have both your production and development environments running dbt version 1.6 or higher. Refer to [upgrade in dbt Cloud](/docs/dbt-versions/upgrade-core-in-cloud) for more info. - Use Snowflake, BigQuery, Databricks, or Redshift (dbt Cloud Postgres support coming soon). - Create a successful run in the environment where you configure the Semantic Layer. - - **Note:** Semantic Layer currently supports the Deployment environment. (_development experience coming soon_) + - **Note:** Semantic Layer currently supports the Deployment environment for querying. (_development querying experience coming soon_) - Set up the [Semantic Layer API](/docs/dbt-cloud-apis/sl-api-overview) in the integrated tool to import metric definitions. - **Note:** dbt Core or Developer accounts can only query data manually using the [MetricFlow CLI](/docs/build/metricflow-cli) and SQL. To dynamically query metrics using external tools, you must have a dbt Cloud [Team or Enterprise](https://www.getdbt.com/pricing/) account with access to the Semantic Layer API.
- Understand [MetricFlow's](/docs/build/about-metricflow) key concepts, which powers the revamped dbt Semantic Layer. From 7aae3428556df3e7ff98b6cbf82a5a8fbc336af5 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 24 Aug 2023 13:01:54 +0100 Subject: [PATCH 171/486] Update sidebars.js --- website/sidebars.js | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/sidebars.js b/website/sidebars.js index b558319ef6b..ba70ff85121 100644 --- a/website/sidebars.js +++ b/website/sidebars.js @@ -250,6 +250,7 @@ const sidebarSettings = { link: { type: "doc", id: "docs/build/build-metrics-intro" }, collapsed: true, items: [ + "docs/build/sl-getting-started", { type: "category", label: "About MetricFlow", @@ -261,7 +262,6 @@ const sidebarSettings = { "docs/build/metricflow-cli", ] }, - "docs/build/sl-getting-started", { type: "category", label: "Semantic models", From 188fb7d4c307acada22bc225b9f20fe71a84242d Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 24 Aug 2023 13:08:39 +0100 Subject: [PATCH 172/486] Update website/docs/docs/cloud/dbt-cloud-ide/develop-in-the-cloud.md --- website/docs/docs/cloud/dbt-cloud-ide/develop-in-the-cloud.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/dbt-cloud-ide/develop-in-the-cloud.md b/website/docs/docs/cloud/dbt-cloud-ide/develop-in-the-cloud.md index 1e9bb6e3558..c55e67cf93e 100644 --- a/website/docs/docs/cloud/dbt-cloud-ide/develop-in-the-cloud.md +++ b/website/docs/docs/cloud/dbt-cloud-ide/develop-in-the-cloud.md @@ -54,7 +54,7 @@ To stay informed on IDE updates, read [dbt Cloud IDE release notes](/tags/ide), | **File state indicators** | Ability to see when changes or actions have been made to the file. The indicators **M, D, A,** and **•** appear to the right of your file or folder name and indicate the actions performed:

- Unsaved **(•)** — The IDE detects unsaved changes to your file/folder
- Modification **(M)** — The IDE detects a modification of existing files/folders
- Added **(A)** — The IDE detects added files
- Deleted **(D)** — The IDE detects deleted files. | **IDE version control** | The IDE version control section and git button allow you to apply the concept of [version control](/docs/collaborate/git/version-control-basics) to your project directly into the IDE.

- Create or change branches
- Commit or revert individual files by right-clicking the edited file
- [Resolve merge conflicts](/docs/collaborate/git/merge-conflicts)
- Execute git commands using the git button
- Link to the repo directly by clicking the branch name | | **Project documentation** | Generate and view your [project documentation](/docs/collaborate/build-and-view-your-docs) for your dbt project in real-time. You can inspect and verify what your project's documentation will look like before you deploy your changes to production. | -| **Preview and Compile button** | You can run your code or selected code against your data platform by clicking the [**Preview**](/docs/cloud/dbt-cloud-ide/ide-user-interface#console-section) button.
Use the [**Compile**](/docs/cloud/dbt-cloud-ide/ide-user-interface#console-section) button in the IDE to generate executable SQL, which occurs locally within dbt. | +| **Preview and Compile button** | You can [compile or preview](/docs/cloud/dbt-cloud-ide/ide-user-interface#console-section) code, a snippet of dbt code, or one of your dbt models after editing and saving. | | **Build, test, and run button** | Build, test, and run your project with a button click or by using the Cloud IDE command bar. | **Command bar** | You can enter and run commands from the command bar at the bottom of the IDE. Use the [rich model selection syntax](/reference/node-selection/syntax) to execute [dbt commands](/reference/dbt-commands) directly within dbt Cloud. You can also view the history, status, and logs of previous runs by clicking History on the left of the bar. | **Drag and drop** | Drag and drop files located in the file explorer, and use the file breadcrumb on the top of the IDE for quick, linear navigation. Access adjacent files in the same file by right-clicking on the breadcrumb file. From 7e6bde03d059d403fc1e410d1a8f83d61feec72b Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 24 Aug 2023 13:14:00 +0100 Subject: [PATCH 173/486] Update website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md Co-authored-by: Jeremy Cohen --- website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md b/website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md index 3bf517788cb..5e239ac7e11 100644 --- a/website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md +++ b/website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md @@ -95,7 +95,7 @@ The dbt Cloud IDE returns default row limits, however, you can also specify the
-2. **Compile button —** The **Compile** button compiles the saved or unsaved SQL code from the active file editor, and outputs it to the **Compiled Code** tab. Starting from dbt v1.6 or higher, you can compile a selected portion of saved or unsaved code by highlighting it before clicking the **Compile** button. +2. **Compile button —** The **Compile** button compiles the saved or unsaved SQL code from the active file editor, and outputs it to the **Compiled Code** tab. Starting from dbt v1.6 or higher, after saving changes to a model, you can compile its code with the context of that model — same as you would get while building it — which includes context variables like `{{ this }}` or `{{ is_incremental() }}`. 3. **Build button —** The build button allows users to quickly access dbt commands related to the active model in the File Editor. The available commands include dbt build, dbt test, and dbt run, with options to include only the current resource, the resource and its upstream dependencies, the resource, and its downstream dependencies, or the resource with all dependencies. This menu is available for all executable nodes. From 53594930820e36565e08388e46da5b3428cdaa51 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 24 Aug 2023 13:16:52 +0100 Subject: [PATCH 174/486] Update website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md --- website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md b/website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md index 5e239ac7e11..bbf926f4bbd 100644 --- a/website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md +++ b/website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md @@ -95,7 +95,10 @@ The dbt Cloud IDE returns default row limits, however, you can also specify the
-2. **Compile button —** The **Compile** button compiles the saved or unsaved SQL code from the active file editor, and outputs it to the **Compiled Code** tab. Starting from dbt v1.6 or higher, after saving changes to a model, you can compile its code with the context of that model — same as you would get while building it — which includes context variables like `{{ this }}` or `{{ is_incremental() }}`. +2. **Compile button —** The **Compile** button compiles the saved or unsaved SQL code and displays it in the **Compiled Code** tab. From dbt version 1.6 onwards, when you save changes to a model, you can compile its code with the model's specific context. This context is similar to what you'd have when building the model and involves useful context variables like `{{ this }} `or `{{ is_incremental() }}`. + + +Starting from dbt v1.6 or higher, after saving changes to a model, you can compile its code with the context of that model — same as you would get while building it — which includes context variables like `{{ this }}` or `{{ is_incremental() }}`. 3. **Build button —** The build button allows users to quickly access dbt commands related to the active model in the File Editor. The available commands include dbt build, dbt test, and dbt run, with options to include only the current resource, the resource and its upstream dependencies, the resource, and its downstream dependencies, or the resource with all dependencies. This menu is available for all executable nodes. From 37ff510d129e956d4bf7b54a1857f104d7b746a5 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 24 Aug 2023 13:21:49 +0100 Subject: [PATCH 175/486] Update website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md --- website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md b/website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md index bbf926f4bbd..a0300cd3de3 100644 --- a/website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md +++ b/website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md @@ -83,7 +83,7 @@ The IDE features some delightful tools and layouts to make it easier for you to The console section, located below the File editor, includes various console tabs and buttons to help you with tasks such as previewing, compiling, building, and viewing the . Refer to the following sub-bullets for more details on the console tabs and buttons. -1. **Preview button —** When you click on the Preview button, it runs the SQL in the active file editor regardless of whether you have saved it or not and sends the results to the **Results** console tab. Starting from dbt v1.6 or higher, you can preview a selected portion of saved or unsaved code by highlighting it before clicking the **Preview** button. +1. **Preview button —** When you click on the Preview button, it runs the SQL in the active file editor regardless of whether you have saved it or not and sends the results to the **Results** console tab. From dbt v1.6 or higher, you can preview a selected portion of saved or unsaved code by highlighting it and then clicking the **Preview** button.
Row limits in IDE From 63f979e9f0e4e0c5c305f4fcb6266a16f2bfe5b0 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 24 Aug 2023 13:27:12 +0100 Subject: [PATCH 176/486] Update upsolver-configs.md --- .../reference/resource-configs/upsolver-configs.md | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/website/docs/reference/resource-configs/upsolver-configs.md b/website/docs/reference/resource-configs/upsolver-configs.md index fec5b639eca..1189b889a0b 100644 --- a/website/docs/reference/resource-configs/upsolver-configs.md +++ b/website/docs/reference/resource-configs/upsolver-configs.md @@ -70,7 +70,7 @@ As a dbt model copy job is model with materialized='incremental' }} SELECT * FROM {{ ref() }} ``` -Running this model will compile CREATE TABLE SQL(or ALTER TABLE if exists) and CREATE COPY JOB(or ALTER COPY JOB if exists) SQL and send it to Upsolver engine. Name of the table will be name of the model. Name of the job will be name of the model plus '_job' +Running this model will compile CREATE TABLE SQL(or ALTER TABLE if exists) and CREATE COPY JOB(or ALTER COPY JOB if exists) SQL and send it to Upsolver engine. Name of the table will be name of the model. Name of the job will be the name of the model plus '_job' ## SQL insert job @@ -97,7 +97,7 @@ GROUP BY ... HAVING COUNT(DISTINCT orderid::string) ... ``` -Running this model will compile CREATE TABLE SQL(or ALTER TABLE if exists) and CREATE INSERT JOB(or ALTER INSERT JOB if exists) SQL and send it to Upsolver engine. Name of the table will be name of the model. Name of the job will be name of the model plus '_job' +Running this model will compile CREATE TABLE SQL(or ALTER TABLE if exists) and CREATE INSERT JOB(or ALTER INSERT JOB if exists) SQL and send it to Upsolver engine. Name of the table will be name of the model. Name of the job will be the name of the model plus '_job' ## SQL merge job @@ -124,14 +124,14 @@ GROUP BY ... HAVING COUNT ... ``` -Running this model will compile CREATE TABLE SQL(or ALTER TABLE if exists) and CREATE MERGE JOB(or ALTER MERGE JOB if exists) SQL and send it to Upsolver engine. Name of the table will be name of the model. Name of the job will be name of the model plus '_job' +Running this model will compile CREATE TABLE SQL(or ALTER TABLE if exists) and CREATE MERGE JOB(or ALTER MERGE JOB if exists) SQL and send it to Upsolver engine. Name of the table will be name of the model. Name of the job will be the name of the model plus '_job' ## SQL materialized views When transforming your data, you may find that you need data from multiple source tables in order to achieve your desired result. In such a case, you can create a materialized view from one SQLake table in order to join it with your other table (which in this case is considered the main table). More details on ["Upsolver SQL materialized views"](https://docs.upsolver.com/sqlake/sql-command-reference/sql-jobs/create-job/sql-transformation-jobs/sql-materialized-views). -As a dbt model materialized views is model with materialized='materializedview'. +As a dbt model materialized views are models with materialized='materializedview'. ```sql {{ config( materialized='materializedview', @@ -145,9 +145,9 @@ WHERE ... GROUP BY ... ``` -Running this model will compile CREATE MATERIALIZED VIEW SQL(or ALTER MATERIALIZED VIEW if exists) and send it to Upsolver engine. Name of the materializedview will be name of the model. +Running this model will compile CREATE MATERIALIZED VIEW SQL(or ALTER MATERIALIZED VIEW if exists) and send it to Upsolver engine. Name of the materializedview will be the name of the model. -## Expectations/constraints +## Expectations and constraints Data quality conditions can be added to your job to drop a row or trigger a warning when a column violates a predefined condition. @@ -190,7 +190,7 @@ models: ## Projects examples -> projects examples link: [github.com/dbt-upsolver/examples/](https://github.com/Upsolver/dbt-upsolver/tree/main/examples) +> Refer to the projects examples link: [github.com/dbt-upsolver/examples/](https://github.com/Upsolver/dbt-upsolver/tree/main/examples) ## Connection options From 35805435543f0e19f5e446f49589aeb039a93f23 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 24 Aug 2023 13:28:29 +0100 Subject: [PATCH 177/486] Update website/docs/reference/resource-configs/upsolver-configs.md --- website/docs/reference/resource-configs/upsolver-configs.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/reference/resource-configs/upsolver-configs.md b/website/docs/reference/resource-configs/upsolver-configs.md index 1189b889a0b..c50e49e877f 100644 --- a/website/docs/reference/resource-configs/upsolver-configs.md +++ b/website/docs/reference/resource-configs/upsolver-configs.md @@ -6,7 +6,7 @@ description: "Upsolver Configurations - Read this in-depth guide to learn about ## Supported Upsolver SQLake functionality: -| COMMAND | STATE | MATERIALIZED | +| Command | State | Materialized | | ------ | ------ | ------ | | SQL compute cluster| not supported | - | | SQL connections| supported | connection | From dbc8af1d6d6b087b203ea8c30345df5cda678a1e Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 24 Aug 2023 14:30:06 +0100 Subject: [PATCH 178/486] Update ide-user-interface.md --- website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md b/website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md index a0300cd3de3..98538a539c3 100644 --- a/website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md +++ b/website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md @@ -83,7 +83,7 @@ The IDE features some delightful tools and layouts to make it easier for you to The console section, located below the File editor, includes various console tabs and buttons to help you with tasks such as previewing, compiling, building, and viewing the . Refer to the following sub-bullets for more details on the console tabs and buttons. -1. **Preview button —** When you click on the Preview button, it runs the SQL in the active file editor regardless of whether you have saved it or not and sends the results to the **Results** console tab. From dbt v1.6 or higher, you can preview a selected portion of saved or unsaved code by highlighting it and then clicking the **Preview** button. +1. **Preview button —** When you click on the Preview button, it runs the SQL in the active file editor regardless of whether you have saved it or not and sends the results to the **Results** console tab. You can preview a selected portion of saved or unsaved code by highlighting it and then clicking the **Preview** button.
Row limits in IDE From 51e3aa87c65b923120c9bdf499f2c998acae6e96 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 24 Aug 2023 14:31:53 +0100 Subject: [PATCH 179/486] Update ide-user-interface.md --- website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md b/website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md index 98538a539c3..bafe6b2cd3c 100644 --- a/website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md +++ b/website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md @@ -95,7 +95,7 @@ The dbt Cloud IDE returns default row limits, however, you can also specify the
-2. **Compile button —** The **Compile** button compiles the saved or unsaved SQL code and displays it in the **Compiled Code** tab. From dbt version 1.6 onwards, when you save changes to a model, you can compile its code with the model's specific context. This context is similar to what you'd have when building the model and involves useful context variables like `{{ this }} `or `{{ is_incremental() }}`. +2. **Compile button —** The **Compile** button compiles the saved or unsaved SQL code and displays it in the **Compiled Code** tab. Starting from dbt v1.6 or higher, after saving changes to a model, you can compile its code with the context of that model — same as you would get while building it — which includes context variables like `{{ this }}` or `{{ is_incremental() }}`. From e1e6f2cc7060c73a070395e71da2ff09ab05dbd2 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 24 Aug 2023 14:31:57 +0100 Subject: [PATCH 180/486] Update ide-user-interface.md --- website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md b/website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md index bafe6b2cd3c..de643413a8a 100644 --- a/website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md +++ b/website/docs/docs/cloud/dbt-cloud-ide/ide-user-interface.md @@ -98,7 +98,7 @@ The dbt Cloud IDE returns default row limits, however, you can also specify the 2. **Compile button —** The **Compile** button compiles the saved or unsaved SQL code and displays it in the **Compiled Code** tab. -Starting from dbt v1.6 or higher, after saving changes to a model, you can compile its code with the context of that model — same as you would get while building it — which includes context variables like `{{ this }}` or `{{ is_incremental() }}`. +Starting from dbt v1.6 or higher, when you save changes to a model, you can compile its code with the model's specific context. This context is similar to what you'd have when building the model and involves useful context variables like `{{ this }} `or `{{ is_incremental() }}`. 3. **Build button —** The build button allows users to quickly access dbt commands related to the active model in the File Editor. The available commands include dbt build, dbt test, and dbt run, with options to include only the current resource, the resource and its upstream dependencies, the resource, and its downstream dependencies, or the resource with all dependencies. This menu is available for all executable nodes. From 52d4fc57e45fa5c0d6347738bbb73a2855937728 Mon Sep 17 00:00:00 2001 From: Anna Geller Date: Thu, 24 Aug 2023 16:33:41 +0200 Subject: [PATCH 181/486] Add Kestra deployment option --- website/docs/docs/deploy/deployment-tools.md | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/website/docs/docs/deploy/deployment-tools.md b/website/docs/docs/deploy/deployment-tools.md index b9ab14e1c0c..cefb3b90e39 100644 --- a/website/docs/docs/deploy/deployment-tools.md +++ b/website/docs/docs/deploy/deployment-tools.md @@ -109,6 +109,10 @@ If your organization is using [Prefect](https://www.prefect.io/), the way you wi If your organization is using [Dagster](https://dagster.io/), you can use the [dagster_dbt](https://docs.dagster.io/_apidocs/libraries/dagster-dbt) library to integrate dbt commands into your pipelines. This library supports the execution of dbt through dbt Cloud, dbt CLI and the dbt RPC server. Running dbt from Dagster automatically aggregates metadata about your dbt runs. Refer to the [example pipeline](https://dagster.io/blog/dagster-dbt) for details. +## Kestra + +If your organization uses [Kestra](http://kestra.io/), you can leverage the [dbt plugin](https://kestra.io/plugins/plugin-dbt) to orchestrate dbt core and dbt Cloud jobs. Kestra UI has built-in [Blueprints](https://kestra.io/docs/user-interface-guide/blueprints), providing ready-to-use workflow examples. Navigate to the Blueprints page in the left navigation menu and [select the dbt tag](https://demo.kestra.io/ui/blueprints/community?selectedTag=36) to find several examples of scheduling dbt CLI commands and dbt Cloud jobs as part of your data pipelines. After each scheduled or ad-hoc workflow execution, the Outputs tab in the Kestra UI allows you to download and preview all dbt build artifacts. The Gantt and Topology view additionally render the metadata to visualize dependencies and runtimes of your dbt models and tests. + ## Automation servers Automation servers, like CodeDeploy, GitLab CI/CD ([video](https://youtu.be/-XBIIY2pFpc?t=1301)), Bamboo and Jenkins, can be used to schedule bash commands for dbt. They also provide a UI to view logging to the command line, and integrate with your git repository. From bfb68729b5fa0458b09371661eab150898bb72f0 Mon Sep 17 00:00:00 2001 From: Anna Geller Date: Thu, 24 Aug 2023 16:37:38 +0200 Subject: [PATCH 182/486] Update deployment-tools.md --- website/docs/docs/deploy/deployment-tools.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/deploy/deployment-tools.md b/website/docs/docs/deploy/deployment-tools.md index cefb3b90e39..d95cc28c9c2 100644 --- a/website/docs/docs/deploy/deployment-tools.md +++ b/website/docs/docs/deploy/deployment-tools.md @@ -111,7 +111,7 @@ If your organization is using [Dagster](https://dagster.io/), you can use the [d ## Kestra -If your organization uses [Kestra](http://kestra.io/), you can leverage the [dbt plugin](https://kestra.io/plugins/plugin-dbt) to orchestrate dbt core and dbt Cloud jobs. Kestra UI has built-in [Blueprints](https://kestra.io/docs/user-interface-guide/blueprints), providing ready-to-use workflow examples. Navigate to the Blueprints page in the left navigation menu and [select the dbt tag](https://demo.kestra.io/ui/blueprints/community?selectedTag=36) to find several examples of scheduling dbt CLI commands and dbt Cloud jobs as part of your data pipelines. After each scheduled or ad-hoc workflow execution, the Outputs tab in the Kestra UI allows you to download and preview all dbt build artifacts. The Gantt and Topology view additionally render the metadata to visualize dependencies and runtimes of your dbt models and tests. +If your organization uses [Kestra](http://kestra.io/), you can leverage the [dbt plugin](https://kestra.io/plugins/plugin-dbt) to orchestrate dbt core and dbt Cloud jobs. Kestra UI has built-in [Blueprints](https://kestra.io/docs/user-interface-guide/blueprints), providing ready-to-use workflows. Navigate to the Blueprints page in the left navigation menu and [select the dbt tag](https://demo.kestra.io/ui/blueprints/community?selectedTag=36) to find several examples of scheduling dbt CLI commands and dbt Cloud jobs as part of your data pipelines. After each scheduled or ad-hoc workflow execution, the Outputs tab in the Kestra UI allows you to download and preview all dbt build artifacts. The Gantt and Topology view additionally render the metadata to visualize dependencies and runtimes of your dbt models and tests. The dbt Cloud task provides convenient links to easily navigate between Kestra and dbt Cloud UI. ## Automation servers From ce56bec79d1f5c57f90fd996b76e2383edb77fc3 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 24 Aug 2023 16:10:39 +0100 Subject: [PATCH 183/486] Update website/docs/docs/build/sl-getting-started.md Co-authored-by: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> --- website/docs/docs/build/sl-getting-started.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/build/sl-getting-started.md b/website/docs/docs/build/sl-getting-started.md index 1cf4b445e9b..237bdd59aac 100644 --- a/website/docs/docs/build/sl-getting-started.md +++ b/website/docs/docs/build/sl-getting-started.md @@ -14,7 +14,7 @@ import DefineMetrics from '/snippets/_sl-define-metrics.md'; import ConfigMetric from '/snippets/_sl-configure-metricflow.md'; import TestQuery from '/snippets/_sl-test-and-query-metrics.md'; -This getting started page presents a sample workflow to help you create your first metrics in dbt Cloud or the command line (CLI). It uses the [Jaffle shop example project](https://github.com/dbt-labs/jaffle-sl-template) as the project data source and is available for you to use. If you prefer, you can create semantic models and metrics for your own dbt project. +This getting started page presents a sample workflow to help you create your first metrics in dbt Cloud or the command-line interface (CLI). It uses the [Jaffle shop example project](https://github.com/dbt-labs/jaffle-sl-template) as the project data source and is available for you to use. If you prefer, you can create semantic models and metrics for your own dbt project. This guide will cover the following sections and steps: From 52c480e4bae1a2875bfa29cfabbbc84187904013 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 24 Aug 2023 16:17:05 +0100 Subject: [PATCH 184/486] Update website/docs/docs/build/sl-getting-started.md Co-authored-by: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> --- website/docs/docs/build/sl-getting-started.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/build/sl-getting-started.md b/website/docs/docs/build/sl-getting-started.md index 237bdd59aac..3d4d7767a1d 100644 --- a/website/docs/docs/build/sl-getting-started.md +++ b/website/docs/docs/build/sl-getting-started.md @@ -16,7 +16,7 @@ import TestQuery from '/snippets/_sl-test-and-query-metrics.md'; This getting started page presents a sample workflow to help you create your first metrics in dbt Cloud or the command-line interface (CLI). It uses the [Jaffle shop example project](https://github.com/dbt-labs/jaffle-sl-template) as the project data source and is available for you to use. If you prefer, you can create semantic models and metrics for your own dbt project. -This guide will cover the following sections and steps: +This guide will walk you through how to: - [Create a semantic model](#create-a-semantic-model) using MetricFlow - [Define metrics](#define-metrics) using MetricFlow From 07108865e3a622c0606511e0b33a66d2281d8b44 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 24 Aug 2023 16:23:10 +0100 Subject: [PATCH 185/486] Update website/docs/docs/build/sl-getting-started.md Co-authored-by: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> --- website/docs/docs/build/sl-getting-started.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/build/sl-getting-started.md b/website/docs/docs/build/sl-getting-started.md index 3d4d7767a1d..beeee28bd1a 100644 --- a/website/docs/docs/build/sl-getting-started.md +++ b/website/docs/docs/build/sl-getting-started.md @@ -25,7 +25,7 @@ This guide will walk you through how to: - [Set up dbt Semantic Layer](#set-up-dbt-semantic-layer) in dbt Cloud - [Connect to and query the API](#connect-and-query-api) with dbt Cloud -To fully experience the power of a universal [dbt Semantic Layer](/docs/use-dbt-semantic-layer/dbt-sl), you'll need a dbt Cloud [Team or Enterprise](https://www.getdbt.com/pricing/) account. +To experience the power of a universal [dbt Semantic Layer](/docs/use-dbt-semantic-layer/dbt-sl) and query metrics in downstream tools, you'll need a dbt Cloud [Team or Enterprise](https://www.getdbt.com/pricing/) account. ## Prerequisites From 18620413376f205f2f3f5d9cabcdfee89326e3b4 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 24 Aug 2023 16:23:32 +0100 Subject: [PATCH 186/486] Update website/docs/docs/build/sl-getting-started.md Co-authored-by: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> --- website/docs/docs/build/sl-getting-started.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/build/sl-getting-started.md b/website/docs/docs/build/sl-getting-started.md index beeee28bd1a..612f6bc607d 100644 --- a/website/docs/docs/build/sl-getting-started.md +++ b/website/docs/docs/build/sl-getting-started.md @@ -31,7 +31,7 @@ To experience the power of a universal [dbt Semantic Layer](/docs/use-dbt-semant - Have an understanding of key concepts in [MetricFlow](/docs/build/about-metricflow), which powers the revamped dbt Semantic Layer. - Have both your production and development environments running dbt version 1.6 or higher. Refer to [upgrade in dbt Cloud](/docs/dbt-versions/upgrade-core-in-cloud) for more info. -- Use Snowflake, BigQuery, Databricks, Postgres (CLI only), or Redshift. (dbt Cloud Postgres support coming soon) +- Use Snowflake, BigQuery, Databricks, Redshift, or Postgres (CLI only. dbt Cloud support coming soon). - Create a successful run in the environment where you configure the Semantic Layer. - **Note:** Semantic Layer currently supports the Deployment environment for querying. (_development querying experience coming soon_) - Set up the [Semantic Layer API](/docs/dbt-cloud-apis/sl-api-overview) in the integrated tool to import metric definitions. From 702a9dd57bd2a968013556bc90374ec553a5f9f4 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 24 Aug 2023 16:24:03 +0100 Subject: [PATCH 187/486] Update website/docs/docs/build/sl-getting-started.md Co-authored-by: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> --- website/docs/docs/build/sl-getting-started.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/build/sl-getting-started.md b/website/docs/docs/build/sl-getting-started.md index 612f6bc607d..227cfee20b3 100644 --- a/website/docs/docs/build/sl-getting-started.md +++ b/website/docs/docs/build/sl-getting-started.md @@ -60,7 +60,7 @@ New to dbt or metrics? Try our [Jaffle shop example project](https://github.com/ ## Run a production job -Before you begin, you must have a dbt Cloud Team or Enterprise [multi-tenant](/docs/cloud/about-cloud/regions-ip-addresses) deployment, hosted in North America (cloud.getdbt.com login). +Before you begin, you must have a dbt Cloud Team or Enterprise [multi-tenant](/docs/cloud/about-cloud/regions-ip-addresses) deployment, hosted in North America (cloud.getdbt.com login URL). Once you’ve defined metrics in your dbt project, you can perform a job run in your dbt Cloud deployment environment to materialize your metrics. Only the deployment environment is supported for the dbt Semantic Layer at this moment. From 1d89f480b2fc415c5addb4c3f8a142dd3cd55197 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 24 Aug 2023 16:31:34 +0100 Subject: [PATCH 188/486] Update website/snippets/_sl-test-and-query-metrics.md Co-authored-by: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> --- website/snippets/_sl-test-and-query-metrics.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/snippets/_sl-test-and-query-metrics.md b/website/snippets/_sl-test-and-query-metrics.md index a3fd410e732..fd5058c9d98 100644 --- a/website/snippets/_sl-test-and-query-metrics.md +++ b/website/snippets/_sl-test-and-query-metrics.md @@ -1,6 +1,6 @@ :::important Testing and querying metrics in the dbt Cloud IDE not yet supported -For public beta, testing or querying metrics in the dbt Cloud IDE isn't supported yet, however support is coming soon. +Support for testing or querying metrics in the dbt Cloud IDE is not available in the current beta but is coming soon. You can use the **Preview** or **Compile** buttons in the IDE to run semantic validations and make sure your metrics are defined. And you can [dynamically query metrics](#connect-and-query-api) with integrated tools on a dbt Cloud [Team or Enterprise](https://www.getdbt.com/pricing/) plan using the [Semantic Layer API](/docs/dbt-cloud-apis/sl-api-overview). From a7d973475e75164a852428675854b16f7994d4e4 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 24 Aug 2023 16:31:46 +0100 Subject: [PATCH 189/486] Update website/snippets/_sl-test-and-query-metrics.md Co-authored-by: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> --- website/snippets/_sl-test-and-query-metrics.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/snippets/_sl-test-and-query-metrics.md b/website/snippets/_sl-test-and-query-metrics.md index fd5058c9d98..8027c967df8 100644 --- a/website/snippets/_sl-test-and-query-metrics.md +++ b/website/snippets/_sl-test-and-query-metrics.md @@ -2,7 +2,7 @@ Support for testing or querying metrics in the dbt Cloud IDE is not available in the current beta but is coming soon. -You can use the **Preview** or **Compile** buttons in the IDE to run semantic validations and make sure your metrics are defined. And you can [dynamically query metrics](#connect-and-query-api) with integrated tools on a dbt Cloud [Team or Enterprise](https://www.getdbt.com/pricing/) plan using the [Semantic Layer API](/docs/dbt-cloud-apis/sl-api-overview). +You can use the **Preview** or **Compile** buttons in the IDE to run semantic validations and make sure your metrics are defined. You can [dynamically query metrics](#connect-and-query-api) with integrated tools on a dbt Cloud [Team or Enterprise](https://www.getdbt.com/pricing/) plan using the [Semantic Layer API](/docs/dbt-cloud-apis/sl-api-overview). You can currently only test metrics locally using the MetricFlow CLI. Alternatively, you can test using SQL client tools like DataGrip, DBeaver, or RazorSQL. From 6ac27f3f0344a0625ee8656546f4645ff08402d1 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 24 Aug 2023 16:41:00 +0100 Subject: [PATCH 190/486] Update website/snippets/_sl-test-and-query-metrics.md Co-authored-by: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> --- website/snippets/_sl-test-and-query-metrics.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/snippets/_sl-test-and-query-metrics.md b/website/snippets/_sl-test-and-query-metrics.md index 8027c967df8..0ccea4dc3e8 100644 --- a/website/snippets/_sl-test-and-query-metrics.md +++ b/website/snippets/_sl-test-and-query-metrics.md @@ -4,7 +4,7 @@ Support for testing or querying metrics in the dbt Cloud IDE is not available in You can use the **Preview** or **Compile** buttons in the IDE to run semantic validations and make sure your metrics are defined. You can [dynamically query metrics](#connect-and-query-api) with integrated tools on a dbt Cloud [Team or Enterprise](https://www.getdbt.com/pricing/) plan using the [Semantic Layer API](/docs/dbt-cloud-apis/sl-api-overview). -You can currently only test metrics locally using the MetricFlow CLI. Alternatively, you can test using SQL client tools like DataGrip, DBeaver, or RazorSQL. +Currently, you can test metrics locally using the MetricFlow CLI. dbt Cloud IDE support is coming soon. Alternatively, you can test using SQL client tools like DataGrip, DBeaver, or RazorSQL. ::: From eb0162c2e7e8ae1eecc1a061ad5ffc5460eb35c4 Mon Sep 17 00:00:00 2001 From: john-rock Date: Thu, 24 Aug 2023 11:53:10 -0400 Subject: [PATCH 191/486] add image cahce bust function --- website/functions/image-cache-wrapper.js | 18 ++++++++++++++++++ website/src/components/lightbox/index.js | 3 ++- 2 files changed, 20 insertions(+), 1 deletion(-) create mode 100644 website/functions/image-cache-wrapper.js diff --git a/website/functions/image-cache-wrapper.js b/website/functions/image-cache-wrapper.js new file mode 100644 index 00000000000..420fcbb8705 --- /dev/null +++ b/website/functions/image-cache-wrapper.js @@ -0,0 +1,18 @@ +import useDocusaurusContext from '@docusaurus/useDocusaurusContext'; + +// This function is used to break the cache on images +// preventing stale or broken images from being served + +const CACHE_VERSION = '2' + +export default function imageCacheWrapper(src) { + const { siteConfig: {customFields} } = useDocusaurusContext(); + + const cacheParam = customFields?.isVercel === '1' + ? `?v=${CACHE_VERSION}` + : `` + + return ( + src + cacheParam + ) +} diff --git a/website/src/components/lightbox/index.js b/website/src/components/lightbox/index.js index b4c2da3c905..1c748bbb04f 100644 --- a/website/src/components/lightbox/index.js +++ b/website/src/components/lightbox/index.js @@ -1,5 +1,6 @@ import React from 'react'; import styles from './styles.module.css'; +import imageCacheWrapper from '../../../functions/image-cache-wrapper'; function Lightbox({ src, @@ -35,7 +36,7 @@ function Lightbox({ data-toggle="lightbox" alt={alt ? alt : title ? title : ''} title={title ? title : ''} - src={src} + src={imageCacheWrapper(src)} /> From f28064e9a3199d2a3f1b486a3183e2d6afc350ad Mon Sep 17 00:00:00 2001 From: john-rock Date: Thu, 24 Aug 2023 13:11:59 -0400 Subject: [PATCH 192/486] small adjustment --- website/functions/image-cache-wrapper.js | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/website/functions/image-cache-wrapper.js b/website/functions/image-cache-wrapper.js index 420fcbb8705..84f85c12a17 100644 --- a/website/functions/image-cache-wrapper.js +++ b/website/functions/image-cache-wrapper.js @@ -1,8 +1,8 @@ -import useDocusaurusContext from '@docusaurus/useDocusaurusContext'; - // This function is used to break the cache on images // preventing stale or broken images from being served +import useDocusaurusContext from '@docusaurus/useDocusaurusContext'; + const CACHE_VERSION = '2' export default function imageCacheWrapper(src) { From a4f1a835f5f9472d515d360361bf747d1af4d0ca Mon Sep 17 00:00:00 2001 From: john-rock Date: Thu, 24 Aug 2023 14:16:32 -0400 Subject: [PATCH 193/486] add cache to other image location --- website/src/components/author/index.js | 3 ++- website/src/components/communitySpotlightCard/index.js | 5 +++-- website/src/theme/BlogPostItem/Header/Author/index.js | 3 ++- 3 files changed, 7 insertions(+), 4 deletions(-) diff --git a/website/src/components/author/index.js b/website/src/components/author/index.js index a8b7ad7c0ef..6b49295936d 100644 --- a/website/src/components/author/index.js +++ b/website/src/components/author/index.js @@ -4,6 +4,7 @@ import Link from '@docusaurus/Link'; import useDocusaurusContext from '@docusaurus/useDocusaurusContext'; import BlogLayout from '@theme/BlogLayout'; import getAllPosts from '../../utils/get-all-posts'; +import imageCacheWrapper from '../../../functions/image-cache-wrapper'; function Author(props) { const { authorData } = props @@ -38,7 +39,7 @@ function Author(props) { itemType="http://schema.org/Person">
- {name} + {name}

{name}

diff --git a/website/src/components/communitySpotlightCard/index.js b/website/src/components/communitySpotlightCard/index.js index 06b77aa2be2..08707a93dd4 100644 --- a/website/src/components/communitySpotlightCard/index.js +++ b/website/src/components/communitySpotlightCard/index.js @@ -1,6 +1,7 @@ import React from 'react' import Link from '@docusaurus/Link'; import styles from './styles.module.css'; +import imageCacheWrapper from '../../../functions/image-cache-wrapper'; const SpotlightWrapper = ({ isSpotlightMember, frontMatter, children }) => { return isSpotlightMember ? ( @@ -55,13 +56,13 @@ function CommunitySpotlightCard({ frontMatter, isSpotlightMember = false }) {
{id && isSpotlightMember ? ( {title} ) : ( {title} diff --git a/website/src/theme/BlogPostItem/Header/Author/index.js b/website/src/theme/BlogPostItem/Header/Author/index.js index a37d9e9985a..f82428df789 100644 --- a/website/src/theme/BlogPostItem/Header/Author/index.js +++ b/website/src/theme/BlogPostItem/Header/Author/index.js @@ -1,6 +1,7 @@ import React from 'react'; import clsx from 'clsx'; import Link from '@docusaurus/Link'; +import imageCacheWrapper from '../../../../../functions/image-cache-wrapper'; function MaybeLink(props) { if (props.href || props.slug) { return ; @@ -21,7 +22,7 @@ export default function BlogPostItemHeaderAuthor({author, className}) {
{imageURL && ( - {name} + {name} )} From 836e16373a4d20c80f83db1a895c454341210af0 Mon Sep 17 00:00:00 2001 From: john-rock Date: Thu, 24 Aug 2023 14:39:08 -0400 Subject: [PATCH 194/486] small adjustoment on comment function --- website/api/get-discourse-comments.js | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/api/get-discourse-comments.js b/website/api/get-discourse-comments.js index 9d1b3869896..b2487b5ee20 100644 --- a/website/api/get-discourse-comments.js +++ b/website/api/get-discourse-comments.js @@ -63,7 +63,7 @@ async function getDiscourseComments(request, response) { comments.shift(); comments = { topicId, comments }; - return await returnResponse(200, comments); + return await response.status(200).json(comments); } else { return await returnResponse(500, { error: "Unable to create Discourse topic TopicID is not a number.", From f3b48c6f078b931d0a1a7215910e7488bef9e966 Mon Sep 17 00:00:00 2001 From: David Thorn Date: Thu, 24 Aug 2023 11:58:37 -0700 Subject: [PATCH 195/486] Update programmatic-invocations.md broken link The reference link builds to https://docs.getdbt.com/reference/reference/exit-codes instead of https://docs.getdbt.com/reference/exit-codes. This change corrects it. --- website/docs/reference/programmatic-invocations.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/reference/programmatic-invocations.md b/website/docs/reference/programmatic-invocations.md index 8bd9bf84047..ed385b79898 100644 --- a/website/docs/reference/programmatic-invocations.md +++ b/website/docs/reference/programmatic-invocations.md @@ -30,7 +30,7 @@ Each command returns a `dbtRunnerResult` object, which has three attributes: - `result`: If the command completed (successfully or with handled errors), its result(s). Return type varies by command. - `exception`: If the dbt invocation encountered an unhandled error and did not complete, the exception it encountered. -There is a 1:1 correspondence between [CLI exit codes](reference/exit-codes) and the `dbtRunnerResult` returned by a programmatic invocation: +There is a 1:1 correspondence between [CLI exit codes](/exit-codes) and the `dbtRunnerResult` returned by a programmatic invocation: | Scenario | CLI Exit Code | `success` | `result` | `exception` | |---------------------------------------------------------------------------------------------|--------------:|-----------|-------------------|-------------| From 9a91dcb783b538926108df88baec02afe97c5bca Mon Sep 17 00:00:00 2001 From: Anna Geller Date: Fri, 25 Aug 2023 11:38:29 +0200 Subject: [PATCH 196/486] Update website/docs/docs/deploy/deployment-tools.md Co-authored-by: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> --- website/docs/docs/deploy/deployment-tools.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/deploy/deployment-tools.md b/website/docs/docs/deploy/deployment-tools.md index d95cc28c9c2..80622880c2c 100644 --- a/website/docs/docs/deploy/deployment-tools.md +++ b/website/docs/docs/deploy/deployment-tools.md @@ -111,7 +111,7 @@ If your organization is using [Dagster](https://dagster.io/), you can use the [d ## Kestra -If your organization uses [Kestra](http://kestra.io/), you can leverage the [dbt plugin](https://kestra.io/plugins/plugin-dbt) to orchestrate dbt core and dbt Cloud jobs. Kestra UI has built-in [Blueprints](https://kestra.io/docs/user-interface-guide/blueprints), providing ready-to-use workflows. Navigate to the Blueprints page in the left navigation menu and [select the dbt tag](https://demo.kestra.io/ui/blueprints/community?selectedTag=36) to find several examples of scheduling dbt CLI commands and dbt Cloud jobs as part of your data pipelines. After each scheduled or ad-hoc workflow execution, the Outputs tab in the Kestra UI allows you to download and preview all dbt build artifacts. The Gantt and Topology view additionally render the metadata to visualize dependencies and runtimes of your dbt models and tests. The dbt Cloud task provides convenient links to easily navigate between Kestra and dbt Cloud UI. +If your organization uses [Kestra](http://kestra.io/), you can leverage the [dbt plugin](https://kestra.io/plugins/plugin-dbt) to orchestrate dbt Cloud and dbt Core jobs. Kestra's user interface (UI) has built-in [Blueprints](https://kestra.io/docs/user-interface-guide/blueprints), providing ready-to-use workflows. Navigate to the Blueprints page in the left navigation menu and [select the dbt tag](https://demo.kestra.io/ui/blueprints/community?selectedTag=36) to find several examples of scheduling dbt CLI commands and dbt Cloud jobs as part of your data pipelines. After each scheduled or ad-hoc workflow execution, the Outputs tab in the Kestra UI allows you to download and preview all dbt build artifacts. The Gantt and Topology view additionally render the metadata to visualize dependencies and runtimes of your dbt models and tests. The dbt Cloud task provides convenient links to easily navigate between Kestra and dbt Cloud UI. ## Automation servers From c13deec86ef4500ade771b686d3d3af1b85d1cac Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Fri, 25 Aug 2023 11:00:18 +0100 Subject: [PATCH 197/486] Update website/docs/reference/programmatic-invocations.md --- website/docs/reference/programmatic-invocations.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/reference/programmatic-invocations.md b/website/docs/reference/programmatic-invocations.md index ed385b79898..6afcd65c1bc 100644 --- a/website/docs/reference/programmatic-invocations.md +++ b/website/docs/reference/programmatic-invocations.md @@ -30,7 +30,7 @@ Each command returns a `dbtRunnerResult` object, which has three attributes: - `result`: If the command completed (successfully or with handled errors), its result(s). Return type varies by command. - `exception`: If the dbt invocation encountered an unhandled error and did not complete, the exception it encountered. -There is a 1:1 correspondence between [CLI exit codes](/exit-codes) and the `dbtRunnerResult` returned by a programmatic invocation: +There is a 1:1 correspondence between [CLI exit codes](/reference/exit-codes) and the `dbtRunnerResult` returned by a programmatic invocation: | Scenario | CLI Exit Code | `success` | `result` | `exception` | |---------------------------------------------------------------------------------------------|--------------:|-----------|-------------------|-------------| From 0b94e375435982f838b31decec0e0692331c7b75 Mon Sep 17 00:00:00 2001 From: Greg McKeon Date: Fri, 25 Aug 2023 10:30:53 -0400 Subject: [PATCH 198/486] Update cloud-cli-installation.md Add instructions for creating dbt-cloud.yml --- website/docs/docs/cloud/cloud-cli-installation.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/website/docs/docs/cloud/cloud-cli-installation.md b/website/docs/docs/cloud/cloud-cli-installation.md index 5f03c9fca92..5e6ddf1e6b6 100644 --- a/website/docs/docs/cloud/cloud-cli-installation.md +++ b/website/docs/docs/cloud/cloud-cli-installation.md @@ -78,6 +78,8 @@ Follow the same process in [Installing dbt Cloud CLI](#manually-install-windows- > $ pwd /Users/user/dbt-projects/jaffle_shop +> $ echo "project-id: ''" > test.yml + > $ cat dbt_cloud.yml project-id: '123456' ``` From 9eed58dd54cc6806026af38e0ce79141f600e275 Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Fri, 25 Aug 2023 15:47:08 +0100 Subject: [PATCH 199/486] add add'l context --- website/docs/docs/cloud/cloud-cli-installation.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/cloud-cli-installation.md b/website/docs/docs/cloud/cloud-cli-installation.md index 5e6ddf1e6b6..b464ef74f48 100644 --- a/website/docs/docs/cloud/cloud-cli-installation.md +++ b/website/docs/docs/cloud/cloud-cli-installation.md @@ -41,6 +41,8 @@ Follow the same process in [Installing dbt Cloud CLI](#manually-install-windows- ## Setting up the CLI +The following instructions are for setting up the dbt Cloud CLI. The `$` aren't part of the command, they tell you that you need to input this command. For example, `$ dbt run` means you should type `dbt run` into your terminal. + 1. Ensure that you have created a project in [dbt Cloud](https://cloud.getdbt.com/). 2. Ensure that your personal [development credentials](https://cloud.getdbt.com/settings/profile/credentials) are set on the project. @@ -72,7 +74,7 @@ Follow the same process in [Installing dbt Cloud CLI](#manually-install-windows- > $ cd ~/dbt-projects/jaffle_shop ``` -7. Create a dbt_cloud.yml in the root project directory. The file is required to have a `project-id` field with a valid [project ID](#glossary): +7. Create a dbt_cloud.yml in the root project directory. The file is required to have a `project-id` field with a valid [project ID](#glossary). Enter the following three commands: ```bash > $ pwd From 865482e61fb22d29fd0b7c0c08bbe1e0b20ec795 Mon Sep 17 00:00:00 2001 From: Mike Alfare Date: Fri, 25 Aug 2023 15:28:22 -0400 Subject: [PATCH 200/486] clarify limitations callout for materialized views in general --- website/docs/docs/build/materializations.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/website/docs/docs/build/materializations.md b/website/docs/docs/build/materializations.md index ba3e7b21b8c..a7d6dcea84d 100644 --- a/website/docs/docs/build/materializations.md +++ b/website/docs/docs/build/materializations.md @@ -136,8 +136,8 @@ able to be refreshed on a regular cadence (depending on the database), forgoing required with incremental materializations * `dbt run` on materialized views correspond to a code deployment, just like views * **Cons:** - * Due to the fact that materialized views are more complex database objects, they tend to have -less configuration options + * Due to the fact that materialized views are more complex database objects, database platforms tend to have +less configuration options available, see your database platform's docs for more details * Materialized views may not be supported by every database platform * **Advice:** * Consider materialized views for use cases where incremental models are sufficient, From 75f74ed58c1827ffbd259a66038f1fd86f3bdf61 Mon Sep 17 00:00:00 2001 From: Mike Alfare Date: Fri, 25 Aug 2023 15:36:40 -0400 Subject: [PATCH 201/486] remove changelog blocks, update headers to align with branding standards --- .../resource-configs/postgres-configs.md | 10 ++-------- .../resource-configs/redshift-configs.md | 16 +++++----------- .../resource-configs/snowflake-configs.md | 14 ++++---------- 3 files changed, 11 insertions(+), 29 deletions(-) diff --git a/website/docs/reference/resource-configs/postgres-configs.md b/website/docs/reference/resource-configs/postgres-configs.md index bf1deae668f..79a1a07ad8c 100644 --- a/website/docs/reference/resource-configs/postgres-configs.md +++ b/website/docs/reference/resource-configs/postgres-configs.md @@ -19,7 +19,7 @@ In dbt-postgres, the following incremental materialization strategies are suppor -## Performance Optimizations +## Performance optimizations ### Unlogged @@ -115,18 +115,12 @@ models: ## Materialized views - - - - **v1.6.0:** Introduced support for `materialized_view` - - - The Postgres adapter supports [materialized views](https://www.postgresql.org/docs/current/rules-materializedviews.html). Indexes are the only configuration that is specific to `dbt-postgres`. The remaining configuration follows the general [materialized view](/docs/build/materializations#materialized-view) configuration. There are also some limitations that we hope to address in the next version. -### Monitored Configuration Changes +### Monitored configuration changes The settings below are monitored for changes applicable to `on_configuration_change`. diff --git a/website/docs/reference/resource-configs/redshift-configs.md b/website/docs/reference/resource-configs/redshift-configs.md index 41f8a5f45f0..d751e702e27 100644 --- a/website/docs/reference/resource-configs/redshift-configs.md +++ b/website/docs/reference/resource-configs/redshift-configs.md @@ -70,7 +70,7 @@ For more information on distkeys and sortkeys, view Amazon's docs: - [AWS Documentation » Amazon Redshift » Database Developer Guide » Designing Tables » Choosing a Data Distribution Style](https://docs.aws.amazon.com/redshift/latest/dg/t_Distributing_data.html) - [AWS Documentation » Amazon Redshift » Database Developer Guide » Designing Tables » Choosing Sort Keys](https://docs.aws.amazon.com/redshift/latest/dg/t_Sorting_data.html) -## Late Binding Views +## Late binding views Redshift supports views unbound from their dependencies, or [late binding views](https://docs.aws.amazon.com/redshift/latest/dg/r_CREATE_VIEW.html#late-binding-views). This DDL option "unbinds" a view from the data it selects from. In practice, this means that if upstream views or tables are dropped with a cascade qualifier, the late-binding view does not get dropped as well. @@ -104,13 +104,7 @@ models: -## Materialized Views - - - - - **v1.6.0:** Introduced support for `materialized_view` - - +## Materialized views The Redshift adapter supports [materialized views](https://docs.aws.amazon.com/redshift/latest/dg/materialized-view-overview.html). Redshift-specific configuration includes the typical `dist`, `sort_type`, `sort`, and `backup`. @@ -118,7 +112,7 @@ For materialized views, there is also the `auto_refresh` setting, which allows R The remaining configuration follows the general [materialized view](/docs/build/materializations#Materialized-View) configuration. There are also some limitations that we hope to address in the next version. -### Monitored Configuration Changes +### Monitored configuration changes The settings below are monitored for changes applicable to `on_configuration_change`. @@ -127,7 +121,7 @@ The settings below are monitored for changes applicable to `on_configuration_cha Changes to `dist` will result in a full refresh of the existing materialized view (applied at the time of the next `dbt run` of the model). Redshift requires a materialized view to be dropped and recreated to apply a change to the `distkey` or `diststyle`. -#### Sort Type, Sort +#### Sort type, sort Changes to `sort_type` or `sort` will result in a full refresh. Redshift requires a materialized view to be dropped and recreated to apply a change to the `sortkey` or `sortstyle`. @@ -137,7 +131,7 @@ view to be dropped and recreated to apply a change to the `sortkey` or `sortstyl Changes to `backup` will result in a full refresh. Redshift requires a materialized view to be dropped and recreated to apply a change to the `backup` setting. -#### Auto Refresh +#### Auto refresh The `auto_refresh` setting can be updated via an `ALTER` statement. This setting effectively toggles automatic refreshes on or off. The default setting for this config is off (`False`). If this diff --git a/website/docs/reference/resource-configs/snowflake-configs.md b/website/docs/reference/resource-configs/snowflake-configs.md index b3bdabc12fe..30c7966ec68 100644 --- a/website/docs/reference/resource-configs/snowflake-configs.md +++ b/website/docs/reference/resource-configs/snowflake-configs.md @@ -301,7 +301,7 @@ models: -## Temporary Tables +## Temporary tables Beginning in dbt version 1.3, incremental table merges for Snowflake prefer to utilize a `view` rather than a `temporary table`. The reasoning was to avoid the database write step that a temporary table would initiate and save compile time. @@ -344,13 +344,7 @@ In the configuration format for the model SQL file: -## Dynamic Tables - - - - - **v1.6.0:** Introduced support for `dynamic_table` - - +## Dynamic tables The Snowflake adapter supports [dynamic tables](https://docs.snowflake.com/en/sql-reference/sql/create-dynamic-table). This materialization is specific to Snowflake, which means that any model configuration that @@ -404,11 +398,11 @@ models: -### Monitored Configuration Changes +### Monitored configuration changes The settings below are monitored for changes applicable to `on_configuration_change`. -#### Target Lag +#### Target lag Changes to `target_lag` can be applied by running an `ALTER` statement. Refreshing is essentially always on for dynamic tables; this setting changes how frequently the dynamic table is updated. From 13fdf6fb34fa81e9b86c61f75b160fa18c1cd640 Mon Sep 17 00:00:00 2001 From: Greg McKeon Date: Fri, 25 Aug 2023 15:53:05 -0400 Subject: [PATCH 202/486] Update cloud-cli-installation.md --- website/docs/docs/cloud/cloud-cli-installation.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/cloud-cli-installation.md b/website/docs/docs/cloud/cloud-cli-installation.md index b464ef74f48..5af9b7a173a 100644 --- a/website/docs/docs/cloud/cloud-cli-installation.md +++ b/website/docs/docs/cloud/cloud-cli-installation.md @@ -80,7 +80,7 @@ The following instructions are for setting up the dbt Cloud CLI. The `$` aren't > $ pwd /Users/user/dbt-projects/jaffle_shop -> $ echo "project-id: ''" > test.yml +> $ echo "project-id: ''" > dbt_cloud.yml > $ cat dbt_cloud.yml project-id: '123456' From 2f3fc783cf772bba81f28e01670119a1e56002ae Mon Sep 17 00:00:00 2001 From: Jeremy Yeo Date: Mon, 28 Aug 2023 11:45:29 +1200 Subject: [PATCH 203/486] Update bigquery-setup.md https://dbt-labs.slack.com/archives/C05FWBP9X1U/p1693003813907289?thread_ts=1692914554.692899&cid=C05FWBP9X1U --- .../docs/core/connect-data-platform/bigquery-setup.md | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/website/docs/docs/core/connect-data-platform/bigquery-setup.md b/website/docs/docs/core/connect-data-platform/bigquery-setup.md index b0fc9fa7cf0..6f60c8a6b17 100644 --- a/website/docs/docs/core/connect-data-platform/bigquery-setup.md +++ b/website/docs/docs/core/connect-data-platform/bigquery-setup.md @@ -251,11 +251,17 @@ In older versions of `dbt-bigquery`, this same config was called `timeout_second ::: -No timeout is set by default. (For historical reasons, some query types use a default of 300 seconds when the `job_execution_timeout_seconds` configuration is not set.) When `job_execution_timeout_seconds` is set, if any dbt query, including a model's SQL transformation, takes longer than 300 seconds to complete, BigQuery might cancel the query and issue the following error: +No timeout is set by default. (For historical reasons, some query types use a default of 300 seconds when the `job_execution_timeout_seconds` configuration is not set.) When `job_execution_timeout_seconds` is set, if any dbt query, takes longer than 300 seconds to return a result, the dbt-bigquery adapter will run into an exception: ``` Operation did not complete within the designated timeout. ``` + +:::caution Note + +The `job_execution_timeout_seconds` represents the number of seconds to wait for the [underlying HTTP transport](https://cloud.google.com/python/docs/reference/bigquery/latest/google.cloud.bigquery.job.QueryJob#google_cloud_bigquery_job_QueryJob_result). It DOES NOT represent the maximum allowable time that a BigQuery job can run for within BigQuery itself - this means that even in the scenario above, where dbt-bigquery ran into an exception at 300 seconds, the BigQuery job or query could still be running in BigQuery up to the BigQuery default query job timeout configuration. + +::: You can change the timeout seconds for the job execution step by configuring `job_execution_timeout_seconds` in the BigQuery profile: From 4ed2e0efd5543ab6d54b71e74e533c24e55065d6 Mon Sep 17 00:00:00 2001 From: rpourzand Date: Mon, 28 Aug 2023 15:18:15 -0700 Subject: [PATCH 204/486] Update sl-partner-integration-guide.md --- .../docs/guides/dbt-ecosystem/sl-partner-integration-guide.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md b/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md index 31e00e41339..c4443885168 100644 --- a/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md +++ b/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md @@ -138,7 +138,7 @@ These are recommendations on how to evolve a Semantic Layer integration and not ### A note on transparency and using explain -For transparency and additional context, we recommend you have an easy way for the user to obtain the SQL that MetricFlow generates. You can do this by appending `explain=True` to any query. This is incredibly powerful because we want to be very transparent to the user about what we're doing and do not want to be a black box. This would be mostly beneficial to a technical user. +For transparency and additional context, we recommend you have an easy way for the user to obtain the SQL that MetricFlow generates. Depending on what API you are using, you can do this by using our explain parameter (JDBC) or compileSQL mutation (GraphQL). This is incredibly powerful because we want to be very transparent to the user about what we're doing and do not want to be a black box. This would be mostly beneficial to a technical user. ### A note on where filters From ad40d25858858a8c9c5a8a0c806406f2a40f98fb Mon Sep 17 00:00:00 2001 From: "Leona B. Campbell" <3880403+runleonarun@users.noreply.github.com> Date: Mon, 28 Aug 2023 17:01:02 -0700 Subject: [PATCH 205/486] Update window and grain_to_date to fix typo (#3982) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Fixes https://github.com/dbt-labs/docs.getdbt.com/issues/3981 ## What are you changing in this pull request and why? There seems to be a copy pasta typo 🍝 ## Checklist - [ ] Review the [Content style guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md) and [About versioning](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#adding-a-new-version) so my content adheres to these guidelines. - [ ] Add a checklist item for anything that needs to happen before this PR is merged, such as "needs technical review" or "change base branch." Adding new pages (delete if not applicable): - [ ] Add page to `website/sidebars.js` - [ ] Provide a unique filename for the new page Removing or renaming existing pages (delete if not applicable): - [ ] Remove page from `website/sidebars.js` - [ ] Add an entry `website/static/_redirects` - [ ] [Ran link testing](https://github.com/dbt-labs/docs.getdbt.com#running-the-cypress-tests-locally) to update the links that point to the deleted page --- website/docs/docs/build/cumulative-metrics.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/website/docs/docs/build/cumulative-metrics.md b/website/docs/docs/build/cumulative-metrics.md index 5312d133d4d..3104fd7578a 100644 --- a/website/docs/docs/build/cumulative-metrics.md +++ b/website/docs/docs/build/cumulative-metrics.md @@ -18,8 +18,8 @@ This metric is common for calculating things like weekly active users, or month- | `label` | The value that will be displayed in downstream tools. | Required | | `type_params` | The type parameters of the metric. | Required | | `measure` | The measure you are referencing. | Required | -| `window` | The accumulation window, such as 1 month, 7 days, 1 year. This can't be used with `window`. | Optional | -| `grain_to_date` | Sets the accumulation grain, such as month will accumulate data for one month. Then restart at the beginning of the next. This can't be used with window. | Optional | +| `window` | The accumulation window, such as 1 month, 7 days, 1 year. This can't be used with `grain_to_date`. | Optional | +| `grain_to_date` | Sets the accumulation grain, such as month will accumulate data for one month. Then restart at the beginning of the next. This can't be used with `window`. | Optional | The following displays the complete specification for cumulative metrics, along with an example: From 29e4b0da448fc7b6b8d74da90538c7223e9db521 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Tue, 29 Aug 2023 09:58:46 +0100 Subject: [PATCH 206/486] Update sl-partner-integration-guide.md turn exmple h3 into h2 --- .../guides/dbt-ecosystem/sl-partner-integration-guide.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md b/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md index c4443885168..d707200cd46 100644 --- a/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md +++ b/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md @@ -34,7 +34,7 @@ The dbt Semantic Layer APIs authenticate with `environmentId`, `SERVICE_TOKEN`, We recommend you provide users with separate input fields with these components for authentication (dbt Cloud will surface these parameters for the user). -## Best practices on exposing metrics: +## Best practices on exposing metrics Best practices for exposing metrics are summarized into five themes: @@ -48,7 +48,7 @@ Best practices for exposing metrics are summarized into five themes: When working with more governed data, it's essential to establish clear guardrails. Here are some recommendations: -- **Aggregations control** — Users shouldn't generally be allowed to modify aggregations unless they are performing post-processing calculations on data from the Semantic Layer (such as year-over-year analysis). +- **Aggregations control** — Users shouldn't generally be allowed to modify aggregations unless they perform post-processing calculations on Semantic Layer data (such as year-over-year analysis). - **Time series alignment and using metric_time** — Make sure users view metrics across the correct time series. When displaying metric graphs, using a non-default time aggregation dimension might lead to misleading interpretations. While users can still group by other time dimensions, they should be careful not to create trend lines with incorrect time axes.

When looking at one or multiple metrics, users should use `metric_time` as the main time dimension to guarantee they are looking at the right time series for the metric(s).

As such, when building an application, we recommend exposing `metric_time` as a separate, "special" time dimension on its own. This dimension is always going to align with all metrics and be common across them. Other time dimensions can still be looked at and grouped by, but having a clear delineation between the `metric_time` dimension and the other time dimensions is clarifying so that people do not confuse how metrics should be plotted.

Also, when a user requests a time granularity change for the main time series, the query that your application runs should use `metric_time` as this will always give you the correct slice. Note that when looking at a single metric, the primary time dimension and `metric_time` are equivalent. @@ -109,7 +109,7 @@ For better analysis, it's best to have the context of the metrics close to where - Allow for creating other metadata that’s useful for the metric. We can provide some of this information in our configuration (Display name, Default Granularity for View, Default Time range), but there may be other metadata that your tool wants to provide to make the metric richer. -### Example stages of an integration +## Example stages of an integration These are recommendations on how to evolve a Semantic Layer integration and not a strict runbook. From a4c1dd300e77215039fbc316be035e776ae571e8 Mon Sep 17 00:00:00 2001 From: Amy Chen <46451573+amychen1776@users.noreply.github.com> Date: Tue, 29 Aug 2023 08:49:27 -0400 Subject: [PATCH 207/486] Update website/docs/docs/build/materializations.md --- website/docs/docs/build/materializations.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/build/materializations.md b/website/docs/docs/build/materializations.md index a7d6dcea84d..619880e5d1b 100644 --- a/website/docs/docs/build/materializations.md +++ b/website/docs/docs/build/materializations.md @@ -132,7 +132,7 @@ Materialized views are a combination of a view and a table, and serve use cases * **Pros:** * Materialized views combine the query performance of a table with the data freshness of a view * Materialized views operate much like incremental materializations, however they are usually -able to be refreshed on a regular cadence (depending on the database), forgoing the regular dbt batch refresh +able to be refreshed without manual interference on a regular cadence (depending on the database), forgoing the regular dbt batch refresh required with incremental materializations * `dbt run` on materialized views correspond to a code deployment, just like views * **Cons:** From 21e64980205a43cdcfbda51ae29c222050592b74 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Tue, 29 Aug 2023 17:45:22 +0100 Subject: [PATCH 208/486] Update website/docs/docs/core/connect-data-platform/bigquery-setup.md --- website/docs/docs/core/connect-data-platform/bigquery-setup.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/core/connect-data-platform/bigquery-setup.md b/website/docs/docs/core/connect-data-platform/bigquery-setup.md index 6f60c8a6b17..d76c2652375 100644 --- a/website/docs/docs/core/connect-data-platform/bigquery-setup.md +++ b/website/docs/docs/core/connect-data-platform/bigquery-setup.md @@ -251,7 +251,7 @@ In older versions of `dbt-bigquery`, this same config was called `timeout_second ::: -No timeout is set by default. (For historical reasons, some query types use a default of 300 seconds when the `job_execution_timeout_seconds` configuration is not set.) When `job_execution_timeout_seconds` is set, if any dbt query, takes longer than 300 seconds to return a result, the dbt-bigquery adapter will run into an exception: +No timeout is set by default. (For historical reasons, some query types use a default of 300 seconds when the `job_execution_timeout_seconds` configuration is not set). When you do set the `job_execution_timeout_seconds`, if any dbt query takes more than 300 seconds to finish, the dbt-bigquery adapter will run into an exception: ``` Operation did not complete within the designated timeout. From 832a64a1b38e7c7ce262065926feb5de63ab0f05 Mon Sep 17 00:00:00 2001 From: rpourzand Date: Tue, 29 Aug 2023 13:16:09 -0700 Subject: [PATCH 209/486] Update sl-jdbc.md updated with a queryable granularity example --- website/docs/docs/dbt-cloud-apis/sl-jdbc.md | 21 ++++++++++++++++++--- 1 file changed, 18 insertions(+), 3 deletions(-) diff --git a/website/docs/docs/dbt-cloud-apis/sl-jdbc.md b/website/docs/docs/dbt-cloud-apis/sl-jdbc.md index 92ffd0278c1..4f72b056818 100644 --- a/website/docs/docs/dbt-cloud-apis/sl-jdbc.md +++ b/website/docs/docs/dbt-cloud-apis/sl-jdbc.md @@ -98,9 +98,9 @@ semantic_layer.dimension_values(metrics=['food_order_amount'], group_by=['custom - + -Use this query to fetch queryable granularities for a list of metrics. This argument allows you to only show the time granularities that make sense for the source model that the metrics are built off of. +Use this query to fetch queryable granularities for a list of metrics. This API request allows you to only show the time granularities that make sense for the primary time dimension of the metrics (e.g., `metric_time`), but if you want queryable granularities for other time dimensions, you can use the `dimensions()` call, and find the column queryable_granularities. Note, `metrics` is a required argument that lists with one or multiple metrics in it. @@ -127,6 +127,21 @@ select * from {{ + + +Use this example query to fetch available granularities for all time dimesensions (the similar queryable granularities API call only returns granularities for the primary time dimensions for metrics). The following call is a derivative of the `dimensions()` call and specifically selects the granularities field. + +```bash +select NAME, QUERYABLE_GRANULARITIES from {{ + semantic_layer.dimensions( + metrics=["order_total"] + ) +}} + +``` + + + ## Querying the API for metric values @@ -245,7 +260,7 @@ where=[{{ Dimension('metric_time'.grain('month') }} >= '2017-03-09', {{ Dimensio }} ``` -### Query with a limit and order_by +### Query with a limit and order by Use the following example to query using a `limit` or `order_by` clauses: From 78f4276400d1bd5b3cae7a88031eef20d192f405 Mon Sep 17 00:00:00 2001 From: rpourzand Date: Tue, 29 Aug 2023 13:57:03 -0700 Subject: [PATCH 210/486] Update sl-jdbc.md adding the query Courtney introduced to get the name of the agg time dimension --- website/docs/docs/dbt-cloud-apis/sl-jdbc.md | 12 ++++++++++++ 1 file changed, 12 insertions(+) diff --git a/website/docs/docs/dbt-cloud-apis/sl-jdbc.md b/website/docs/docs/dbt-cloud-apis/sl-jdbc.md index 4f72b056818..44fadedb986 100644 --- a/website/docs/docs/dbt-cloud-apis/sl-jdbc.md +++ b/website/docs/docs/dbt-cloud-apis/sl-jdbc.md @@ -142,6 +142,18 @@ select NAME, QUERYABLE_GRANULARITIES from {{ + + +It may be useful in your application to expose the names of the time dimensions that represent `metric_time` or the common thread across all metrics. +You can first query the `metrics()` argument to fetch a list of measures, then use the `measures()` call which will return the name(s) of the time dimensions that make up metric time. + +```bash +select * from {{ + semantic_layer.measures(metrics=['orders']) +}} +``` + + ## Querying the API for metric values From 412973ca471598ddd9df47dbf93debe9c95024d1 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Tue, 29 Aug 2023 17:26:08 -0400 Subject: [PATCH 211/486] Error handling for dbt retry --- website/docs/reference/commands/retry.md | 76 ++++++++++++++++++++++++ 1 file changed, 76 insertions(+) diff --git a/website/docs/reference/commands/retry.md b/website/docs/reference/commands/retry.md index 8f5c617ef80..987c12a551a 100644 --- a/website/docs/reference/commands/retry.md +++ b/website/docs/reference/commands/retry.md @@ -28,3 +28,79 @@ Retry works with the following commands: `dbt retry` reuses the [selectors](/reference/node-selection/yaml-selectors) from the previously executed command. + +If you run `dbt retry` after successfully executing `dbt run`, you'll get the following results. + +``` +Running with dbt=1.6.1 +Registered adapter: duckdb=1.6.0 +Found 5 models, 3 seeds, 20 tests, 0 sources, 0 exposures, 0 metrics, 348 macros, 0 groups, 0 semantic models + +Nothing to do. Try checking your model configs and model specification args +``` + +In a scenario where `dbt run` has failed due to a syntax error in a model: + +``` +Running with dbt=1.6.1 +Registered adapter: duckdb=1.6.0 +Found 5 models, 3 seeds, 20 tests, 0 sources, 0 exposures, 0 metrics, 348 macros, 0 groups, 0 semantic models + +Concurrency: 24 threads (target='dev') + +1 of 5 START sql view model main.stg_customers ................................. [RUN] +2 of 5 START sql view model main.stg_orders .................................... [RUN] +3 of 5 START sql view model main.stg_payments .................................. [RUN] +1 of 5 OK created sql view model main.stg_customers ............................ [OK in 0.06s] +2 of 5 OK created sql view model main.stg_orders ............................... [OK in 0.06s] +3 of 5 OK created sql view model main.stg_payments ............................. [OK in 0.07s] +4 of 5 START sql table model main.customers .................................... [RUN] +5 of 5 START sql table model main.orders ....................................... [RUN] +4 of 5 ERROR creating sql table model main.customers ........................... [ERROR in 0.03s] +5 of 5 OK created sql table model main.orders .................................. [OK in 0.04s] + +Finished running 3 view models, 2 table models in 0 hours 0 minutes and 0.15 seconds (0.15s). + +Completed with 1 error and 0 warnings: + +Runtime Error in model customers (models/customers.sql) + Parser Error: syntax error at or near "selct" + +Done. PASS=4 WARN=0 ERROR=1 SKIP=0 TOTAL=5 +``` + + +Executing `dbt retry` without fixing the error(s) will result in another failed run: +``` +Running with dbt=1.6.1 +Registered adapter: duckdb=1.6.0 +Found 5 models, 3 seeds, 20 tests, 0 sources, 0 exposures, 0 metrics, 348 macros, 0 groups, 0 semantic models + +Concurrency: 24 threads (target='dev') + +1 of 1 START sql table model main.customers .................................... [RUN] +1 of 1 ERROR creating sql table model main.customers ........................... [ERROR in 0.03s] + +Done. PASS=4 WARN=0 ERROR=1 SKIP=0 TOTAL=5 +``` + +Executing `dbt retry` after a failed run, but correcting the issue, will result in a completed run: + +``` +Running with dbt=1.6.1 +Registered adapter: duckdb=1.6.0 +Found 5 models, 3 seeds, 20 tests, 0 sources, 0 exposures, 0 metrics, 348 macros, 0 groups, 0 semantic models + +Concurrency: 24 threads (target='dev') + +1 of 1 START sql table model main.customers .................................... [RUN] +1 of 1 OK created sql table model main.customers ............................... [OK in 0.05s] + +Finished running 1 table model in 0 hours 0 minutes and 0.09 seconds (0.09s). + +Completed successfully + +Done. PASS=1 WARN=0 ERROR=0 SKIP=0 TOTAL=1 +``` + +In each scenario `dbt retry` picks up from the error rather than running all of the upstream dependencies again. \ No newline at end of file From 9f01ca3555b6715f56f705223145c660c1db1ee0 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Tue, 29 Aug 2023 17:30:56 -0400 Subject: [PATCH 212/486] Update website/docs/reference/commands/retry.md --- website/docs/reference/commands/retry.md | 1 - 1 file changed, 1 deletion(-) diff --git a/website/docs/reference/commands/retry.md b/website/docs/reference/commands/retry.md index 987c12a551a..d65a5a04bf7 100644 --- a/website/docs/reference/commands/retry.md +++ b/website/docs/reference/commands/retry.md @@ -71,7 +71,6 @@ Done. PASS=4 WARN=0 ERROR=1 SKIP=0 TOTAL=5 Executing `dbt retry` without fixing the error(s) will result in another failed run: -``` Running with dbt=1.6.1 Registered adapter: duckdb=1.6.0 Found 5 models, 3 seeds, 20 tests, 0 sources, 0 exposures, 0 metrics, 348 macros, 0 groups, 0 semantic models From a112953417bf450a9bdfc54accb97c2a4742a124 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Tue, 29 Aug 2023 17:31:02 -0400 Subject: [PATCH 213/486] Update website/docs/reference/commands/retry.md --- website/docs/reference/commands/retry.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/reference/commands/retry.md b/website/docs/reference/commands/retry.md index d65a5a04bf7..03503741b95 100644 --- a/website/docs/reference/commands/retry.md +++ b/website/docs/reference/commands/retry.md @@ -29,7 +29,7 @@ Retry works with the following commands: `dbt retry` reuses the [selectors](/reference/node-selection/yaml-selectors) from the previously executed command. -If you run `dbt retry` after successfully executing `dbt run`, you'll get the following results. +Executing `dbt retry` after a successful `dbt run` will yield the following results: ``` Running with dbt=1.6.1 From e146d59295c44185d6ccfddcee63dd8fc49dc096 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Tue, 29 Aug 2023 17:32:16 -0400 Subject: [PATCH 214/486] Update retry.md --- website/docs/reference/commands/retry.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/website/docs/reference/commands/retry.md b/website/docs/reference/commands/retry.md index 03503741b95..71172ce0ca1 100644 --- a/website/docs/reference/commands/retry.md +++ b/website/docs/reference/commands/retry.md @@ -71,6 +71,8 @@ Done. PASS=4 WARN=0 ERROR=1 SKIP=0 TOTAL=5 Executing `dbt retry` without fixing the error(s) will result in another failed run: + +``` Running with dbt=1.6.1 Registered adapter: duckdb=1.6.0 Found 5 models, 3 seeds, 20 tests, 0 sources, 0 exposures, 0 metrics, 348 macros, 0 groups, 0 semantic models @@ -102,4 +104,4 @@ Completed successfully Done. PASS=1 WARN=0 ERROR=0 SKIP=0 TOTAL=1 ``` -In each scenario `dbt retry` picks up from the error rather than running all of the upstream dependencies again. \ No newline at end of file +In each scenario `dbt retry` picks up from the error rather than running all of the upstream dependencies again. From 701a1d46c9c3a632be1d2ad693ec28009de57dec Mon Sep 17 00:00:00 2001 From: rpourzand Date: Tue, 29 Aug 2023 14:39:23 -0700 Subject: [PATCH 215/486] Update sl-partner-integration-guide.md Making a few more recommendations based on our API functionality --- .../docs/guides/dbt-ecosystem/sl-partner-integration-guide.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md b/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md index d707200cd46..9a9b6145916 100644 --- a/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md +++ b/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md @@ -50,7 +50,7 @@ When working with more governed data, it's essential to establish clear guardrai - **Aggregations control** — Users shouldn't generally be allowed to modify aggregations unless they perform post-processing calculations on Semantic Layer data (such as year-over-year analysis). -- **Time series alignment and using metric_time** — Make sure users view metrics across the correct time series. When displaying metric graphs, using a non-default time aggregation dimension might lead to misleading interpretations. While users can still group by other time dimensions, they should be careful not to create trend lines with incorrect time axes.

When looking at one or multiple metrics, users should use `metric_time` as the main time dimension to guarantee they are looking at the right time series for the metric(s).

As such, when building an application, we recommend exposing `metric_time` as a separate, "special" time dimension on its own. This dimension is always going to align with all metrics and be common across them. Other time dimensions can still be looked at and grouped by, but having a clear delineation between the `metric_time` dimension and the other time dimensions is clarifying so that people do not confuse how metrics should be plotted.

Also, when a user requests a time granularity change for the main time series, the query that your application runs should use `metric_time` as this will always give you the correct slice. Note that when looking at a single metric, the primary time dimension and `metric_time` are equivalent. +- **Time series alignment and using metric_time** — Make sure users view metrics across the correct time series. When displaying metric graphs, using a non-default time aggregation dimension might lead to misleading interpretations. While users can still group by other time dimensions, they should be careful not to create trend lines with incorrect time axes.

When looking at one or multiple metrics, users should use `metric_time` as the main time dimension to guarantee they are looking at the right time series for the metric(s).

As such, when building an application, we recommend exposing `metric_time` as a separate, "special" time dimension on its own. This dimension is always going to align with all metrics and be common across them. Other time dimensions can still be looked at and grouped by, but having a clear delineation between the `metric_time` dimension and the other time dimensions is clarifying so that people do not confuse how metrics should be plotted.

Also, when a user requests a time granularity change for the main time series, the query that your application runs should use `metric_time` as this will always give you the correct slice. Related to thsi, we do also strongly recommend that you have a way to expose what dimension `metric_time` actually maps to for users who may not be familiar. Our APIs allow you to fetch the actual underlying time dimensions that make up metric_time (e.g., transaction_date) so you can expose them to your users. - **Units consistency** — If units are supported, it's vital to avoid plotting data incorrectly with different units. Ensuring consistency in unit representation will prevent confusion and misinterpretation of the data. @@ -90,7 +90,7 @@ Allow users to query either one metric alone without dimensions or multiple metr - Only expose time granularities (monthly, daily, yearly) that match the available metrics. * For example, if a dbt model and its resulting semantic model have a monthly granularity, make sure querying data with a 'daily' granularity isn't available to the user. Our APIs have functionality that will help you surface the correct granularities -- We recommend that time granularity is treated as a general time dimension-specific concept and that it can be applied to more than just the primary aggregation (or `metric_time`). Consider a situation where a user wants to look at `sales` over time by `customer signup month`; in this situation, having the ability to apply granularities to both time dimensions is crucial. Note: Initially, as a starting point, it makes sense to only support `metric_time` or the primary time dimension, but we recommend expanding that as your solution evolves. +- We recommend that time granularity is treated as a general time dimension-specific concept and that it can be applied to more than just the primary aggregation (or `metric_time`). Consider a situation where a user wants to look at `sales` over time by `customer signup month`; in this situation, having the ability to apply granularities to both time dimensions is crucial. Our APIs include information to fetch the granularities for the primary (metric_time) dimensions, but as well as all time dimensions, so you can treat each time dimension and granularity selection independently in your application. Note: Initially, as a starting point, it makes sense to only support `metric_time` or the primary time dimension, but we recommend expanding that as your solution evolves. - You should allow users to filter on date ranges and expose a calendar and nice presets for filtering these. * For example, last 30 days, last week, and so on. From b49a727dc968fd67d6d57157a657f36682f1b8af Mon Sep 17 00:00:00 2001 From: rpourzand Date: Tue, 29 Aug 2023 14:40:34 -0700 Subject: [PATCH 216/486] Update sl-partner-integration-guide.md typo fix! --- .../docs/guides/dbt-ecosystem/sl-partner-integration-guide.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md b/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md index 9a9b6145916..10f5cf9910f 100644 --- a/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md +++ b/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md @@ -50,7 +50,7 @@ When working with more governed data, it's essential to establish clear guardrai - **Aggregations control** — Users shouldn't generally be allowed to modify aggregations unless they perform post-processing calculations on Semantic Layer data (such as year-over-year analysis). -- **Time series alignment and using metric_time** — Make sure users view metrics across the correct time series. When displaying metric graphs, using a non-default time aggregation dimension might lead to misleading interpretations. While users can still group by other time dimensions, they should be careful not to create trend lines with incorrect time axes.

When looking at one or multiple metrics, users should use `metric_time` as the main time dimension to guarantee they are looking at the right time series for the metric(s).

As such, when building an application, we recommend exposing `metric_time` as a separate, "special" time dimension on its own. This dimension is always going to align with all metrics and be common across them. Other time dimensions can still be looked at and grouped by, but having a clear delineation between the `metric_time` dimension and the other time dimensions is clarifying so that people do not confuse how metrics should be plotted.

Also, when a user requests a time granularity change for the main time series, the query that your application runs should use `metric_time` as this will always give you the correct slice. Related to thsi, we do also strongly recommend that you have a way to expose what dimension `metric_time` actually maps to for users who may not be familiar. Our APIs allow you to fetch the actual underlying time dimensions that make up metric_time (e.g., transaction_date) so you can expose them to your users. +- **Time series alignment and using metric_time** — Make sure users view metrics across the correct time series. When displaying metric graphs, using a non-default time aggregation dimension might lead to misleading interpretations. While users can still group by other time dimensions, they should be careful not to create trend lines with incorrect time axes.

When looking at one or multiple metrics, users should use `metric_time` as the main time dimension to guarantee they are looking at the right time series for the metric(s).

As such, when building an application, we recommend exposing `metric_time` as a separate, "special" time dimension on its own. This dimension is always going to align with all metrics and be common across them. Other time dimensions can still be looked at and grouped by, but having a clear delineation between the `metric_time` dimension and the other time dimensions is clarifying so that people do not confuse how metrics should be plotted.

Also, when a user requests a time granularity change for the main time series, the query that your application runs should use `metric_time` as this will always give you the correct slice. Related to this, we do also strongly recommend that you have a way to expose what dimension `metric_time` actually maps to for users who may not be familiar. Our APIs allow you to fetch the actual underlying time dimensions that make up metric_time (e.g., transaction_date) so you can expose them to your users. - **Units consistency** — If units are supported, it's vital to avoid plotting data incorrectly with different units. Ensuring consistency in unit representation will prevent confusion and misinterpretation of the data. From e7d4b7b8153714fb4cffc621272720377bd930a8 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Tue, 29 Aug 2023 17:44:17 -0400 Subject: [PATCH 217/486] Empty-Commit From 0cd65a15ba61e5f5b74cc199c8c5d00fd7cef18f Mon Sep 17 00:00:00 2001 From: "Leona B. Campbell" <3880403+runleonarun@users.noreply.github.com> Date: Tue, 29 Aug 2023 16:29:48 -0700 Subject: [PATCH 218/486] Update redshift-configs.md --- website/docs/reference/resource-configs/redshift-configs.md | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/website/docs/reference/resource-configs/redshift-configs.md b/website/docs/reference/resource-configs/redshift-configs.md index d751e702e27..13f2562e677 100644 --- a/website/docs/reference/resource-configs/redshift-configs.md +++ b/website/docs/reference/resource-configs/redshift-configs.md @@ -15,13 +15,18 @@ To-do: In dbt-redshift, the following incremental materialization strategies are supported: + - `append` (default) - `delete+insert` + + + - `append` (default) - `merge` - `delete+insert` + All of these strategies are inheirited via from dbt-postgres. From fed1bd1144751596139f0eebe11cc3981898749b Mon Sep 17 00:00:00 2001 From: "Leona B. Campbell" <3880403+runleonarun@users.noreply.github.com> Date: Tue, 29 Aug 2023 17:42:59 -0700 Subject: [PATCH 219/486] Update website/docs/reference/resource-configs/redshift-configs.md --- website/docs/reference/resource-configs/redshift-configs.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/reference/resource-configs/redshift-configs.md b/website/docs/reference/resource-configs/redshift-configs.md index 13f2562e677..04bdc59f96a 100644 --- a/website/docs/reference/resource-configs/redshift-configs.md +++ b/website/docs/reference/resource-configs/redshift-configs.md @@ -29,7 +29,7 @@ In dbt-redshift, the following incremental materialization strategies are suppor -All of these strategies are inheirited via from dbt-postgres. +All of these strategies are inherited via from dbt-postgres. ## Performance optimizations From 58f9c6a0a188c95b1d17b6e6679be0bb4490baf4 Mon Sep 17 00:00:00 2001 From: "Leona B. Campbell" <3880403+runleonarun@users.noreply.github.com> Date: Tue, 29 Aug 2023 17:46:13 -0700 Subject: [PATCH 220/486] Update website/docs/reference/resource-configs/redshift-configs.md --- website/docs/reference/resource-configs/redshift-configs.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/reference/resource-configs/redshift-configs.md b/website/docs/reference/resource-configs/redshift-configs.md index 04bdc59f96a..474f395d124 100644 --- a/website/docs/reference/resource-configs/redshift-configs.md +++ b/website/docs/reference/resource-configs/redshift-configs.md @@ -14,7 +14,7 @@ To-do: In dbt-redshift, the following incremental materialization strategies are supported: - + - `append` (default) - `delete+insert` From 9f212cbbd3a387168642d191d821a43e91413565 Mon Sep 17 00:00:00 2001 From: "Leona B. Campbell" <3880403+runleonarun@users.noreply.github.com> Date: Tue, 29 Aug 2023 17:57:35 -0700 Subject: [PATCH 221/486] Update cloud-feature-parity.md --- website/snippets/cloud-feature-parity.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/snippets/cloud-feature-parity.md b/website/snippets/cloud-feature-parity.md index 31644343908..1adfb5882c2 100644 --- a/website/snippets/cloud-feature-parity.md +++ b/website/snippets/cloud-feature-parity.md @@ -10,5 +10,5 @@ The following table outlines which dbt Cloud features are supported on the diffe | Continuous Integration, including CI jobs | ✅ | ✅ | ✅ | | Semantic Layer | ✅ (North America Only) | ❌ | ❌ | | IP Restrictions | ✅ | ✅ | ✅ | -| PrivateLink egress | ✅ | ✅ | ✅ | +| PrivateLink egress | ✅ (AWS only)| ✅ | ✅ | | PrivateLink ingress | ❌ | ✅ | ✅ | From acd2eafab4212d236e5547f982ec779ca3a7dfb8 Mon Sep 17 00:00:00 2001 From: "Leona B. Campbell" <3880403+runleonarun@users.noreply.github.com> Date: Tue, 29 Aug 2023 18:01:50 -0700 Subject: [PATCH 222/486] Update website/docs/reference/resource-configs/redshift-configs.md --- website/docs/reference/resource-configs/redshift-configs.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/reference/resource-configs/redshift-configs.md b/website/docs/reference/resource-configs/redshift-configs.md index 474f395d124..04bdc59f96a 100644 --- a/website/docs/reference/resource-configs/redshift-configs.md +++ b/website/docs/reference/resource-configs/redshift-configs.md @@ -14,7 +14,7 @@ To-do: In dbt-redshift, the following incremental materialization strategies are supported: - + - `append` (default) - `delete+insert` From 544f87ea87ffb643410782d9d07c2ca60a9d40e3 Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Wed, 30 Aug 2023 09:44:04 +0100 Subject: [PATCH 223/486] fix spcing for versionblock --- website/docs/reference/resource-configs/redshift-configs.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/website/docs/reference/resource-configs/redshift-configs.md b/website/docs/reference/resource-configs/redshift-configs.md index 04bdc59f96a..9bd127a1e1a 100644 --- a/website/docs/reference/resource-configs/redshift-configs.md +++ b/website/docs/reference/resource-configs/redshift-configs.md @@ -15,7 +15,7 @@ To-do: In dbt-redshift, the following incremental materialization strategies are supported: - + - `append` (default) - `delete+insert` @@ -29,13 +29,13 @@ In dbt-redshift, the following incremental materialization strategies are suppor -All of these strategies are inherited via from dbt-postgres. +All of these strategies are inherited from dbt-postgres. ## Performance optimizations ### Using sortkey and distkey -Tables in Amazon Redshift have two powerful optimizations to improve query performance: distkeys and sortkeys. Supplying these values as model-level configurations apply the corresponding settings in the generated `CREATE TABLE` . Note that these settings will have no effect for models set to `view` or `ephemeral` models. +Tables in Amazon Redshift have two powerful optimizations to improve query performance: distkeys and sortkeys. Supplying these values as model-level configurations apply the corresponding settings in the generated `CREATE TABLE` . Note that these settings will have no effect on models set to `view` or `ephemeral` models. - `dist` can have a setting of `all`, `even`, `auto`, or the name of a key. - `sort` accepts a list of sort keys, for example: `['timestamp', 'userid']`. dbt will build the sort key in the same order the fields are supplied. From 52eb7800de9a1bd8f377afffcc73f7d81b1a6170 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Wed, 30 Aug 2023 09:46:31 +0100 Subject: [PATCH 224/486] Update website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md --- .../docs/guides/dbt-ecosystem/sl-partner-integration-guide.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md b/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md index 10f5cf9910f..549e065b014 100644 --- a/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md +++ b/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md @@ -50,7 +50,7 @@ When working with more governed data, it's essential to establish clear guardrai - **Aggregations control** — Users shouldn't generally be allowed to modify aggregations unless they perform post-processing calculations on Semantic Layer data (such as year-over-year analysis). -- **Time series alignment and using metric_time** — Make sure users view metrics across the correct time series. When displaying metric graphs, using a non-default time aggregation dimension might lead to misleading interpretations. While users can still group by other time dimensions, they should be careful not to create trend lines with incorrect time axes.

When looking at one or multiple metrics, users should use `metric_time` as the main time dimension to guarantee they are looking at the right time series for the metric(s).

As such, when building an application, we recommend exposing `metric_time` as a separate, "special" time dimension on its own. This dimension is always going to align with all metrics and be common across them. Other time dimensions can still be looked at and grouped by, but having a clear delineation between the `metric_time` dimension and the other time dimensions is clarifying so that people do not confuse how metrics should be plotted.

Also, when a user requests a time granularity change for the main time series, the query that your application runs should use `metric_time` as this will always give you the correct slice. Related to this, we do also strongly recommend that you have a way to expose what dimension `metric_time` actually maps to for users who may not be familiar. Our APIs allow you to fetch the actual underlying time dimensions that make up metric_time (e.g., transaction_date) so you can expose them to your users. +- **Time series alignment and using metric_time** — Make sure users view metrics across the correct time series. When displaying metric graphs, using a non-default time aggregation dimension might lead to misleading interpretations. While users can still group by other time dimensions, they should be careful not to create trend lines with incorrect time axes.

When looking at one or multiple metrics, users should use `metric_time` as the main time dimension to guarantee they are looking at the right time series for the metric(s).

As such, when building an application, we recommend exposing `metric_time` as a separate, "special" time dimension on its own. This dimension is always going to align with all metrics and be common across them. Other time dimensions can still be looked at and grouped by, but having a clear delineation between the `metric_time` dimension and the other time dimensions is clarifying so that people do not confuse how metrics should be plotted.

Also, when a user requests a time granularity change for the main time series, the query that your application runs should use `metric_time` as this will always give you the correct slice. Related to this, we also strongly recommend that you have a way to expose what dimension `metric_time` actually maps to for users who may not be familiar. Our APIs allow you to fetch the actual underlying time dimensions that makeup metric_time (such as `transaction_date`) so you can expose them to your users. - **Units consistency** — If units are supported, it's vital to avoid plotting data incorrectly with different units. Ensuring consistency in unit representation will prevent confusion and misinterpretation of the data. From 210601c7618933d43bf2554d99c7bdd320d9a030 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Wed, 30 Aug 2023 09:48:47 +0100 Subject: [PATCH 225/486] Update website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md --- .../docs/guides/dbt-ecosystem/sl-partner-integration-guide.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md b/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md index 549e065b014..20e2d8fce71 100644 --- a/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md +++ b/website/docs/guides/dbt-ecosystem/sl-partner-integration-guide.md @@ -90,7 +90,7 @@ Allow users to query either one metric alone without dimensions or multiple metr - Only expose time granularities (monthly, daily, yearly) that match the available metrics. * For example, if a dbt model and its resulting semantic model have a monthly granularity, make sure querying data with a 'daily' granularity isn't available to the user. Our APIs have functionality that will help you surface the correct granularities -- We recommend that time granularity is treated as a general time dimension-specific concept and that it can be applied to more than just the primary aggregation (or `metric_time`). Consider a situation where a user wants to look at `sales` over time by `customer signup month`; in this situation, having the ability to apply granularities to both time dimensions is crucial. Our APIs include information to fetch the granularities for the primary (metric_time) dimensions, but as well as all time dimensions, so you can treat each time dimension and granularity selection independently in your application. Note: Initially, as a starting point, it makes sense to only support `metric_time` or the primary time dimension, but we recommend expanding that as your solution evolves. +- We recommend that time granularity is treated as a general time dimension-specific concept and that it can be applied to more than just the primary aggregation (or `metric_time`). Consider a situation where a user wants to look at `sales` over time by `customer signup month`; in this situation, having the ability to apply granularities to both time dimensions is crucial. Our APIs include information to fetch the granularities for the primary (metric_time) dimensions, as well as all time dimensions. You can treat each time dimension and granularity selection independently in your application. Note: Initially, as a starting point, it makes sense to only support `metric_time` or the primary time dimension, but we recommend expanding that as your solution evolves. - You should allow users to filter on date ranges and expose a calendar and nice presets for filtering these. * For example, last 30 days, last week, and so on. From cd5c34991176e4f6d738b71b3ae7727c4b2419f0 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Wed, 30 Aug 2023 09:51:12 +0100 Subject: [PATCH 226/486] Update may-ide-updates.md --- .../08-May-2023/may-ide-updates.md | 46 +++++++++++++++++++ 1 file changed, 46 insertions(+) diff --git a/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md b/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md index e69de29bb2d..d85ffa154dd 100644 --- a/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md +++ b/website/docs/docs/dbt-versions/release-notes/08-May-2023/may-ide-updates.md @@ -0,0 +1,46 @@ +--- +title: "May IDE updates and fixes" +id: "may-ide-updates" +description: "May 2023 release note: We've launched SQLFluff in beta, released an IDE UI page, significantly improved IDE performance, improved error messages, fixed bugs, and more." +sidebar_label: "Update and fixes: IDE" +sidebar_position: 2 +tags: [May-2023, IDE] +--- + +To continue improving your [Cloud IDE](/docs/cloud/dbt-cloud-ide/develop-in-the-cloud) development experience, the dbt Labs team continues to work on adding new features, fixing bugs, and increasing reliability ✨. + +Stay up-to-date with [IDE-related changes](/tags/ide). + +## New features +- Lint via SQL Fluff is now available in beta (GA over the next 2-3 weeks) +- Format markdown files with prettier +- Leverage developer experience shortcuts, including ``Ctrl + ` `` (toggle history drawer), `CMD + Option + /` (toggle block comment), `CMD + Shift + P` (open command palette), `Option + W` (close editor tab) +- Display parent folder name for files with same name in Changes section +- Navigate the new IDE features quickly using [the IDE User Interface](/docs/cloud/dbt-cloud-ide/ide-user-interface) help page +- Use `top X` in SQL when previewing in the IDE +- Opt into the new IDE backend layer over the past month (still with dbt-rpc). Ready for beta later in June! + + +## Product refinements + +- Performance-related upgrades: + - Reduced cold start time by 60+% + - Improved render time of modals in the IDE by 98% + - Improved IDE performance with dbt Core v1.5+ (faster and snappier – highly encourage you to [upgrade your dbt version](/docs/dbt-versions/upgrade-core-in-cloud)!) +- Upgraded sqlfmt (which powers the Format button) to 0.18.0 +- Updated Build button to change menu options based on file/model type (snapshot, macro, etc.) +- Display message to disable adblocker for file contents error +- Moved Format button to console bar +- Made many security enhancements in the IDE +## Bug fixes + +- File icon sizes no longer get wonky in small screen +- Toast notifications no longer take over command bar menu +- Hover info inside the text editor no longer gets cut off +- Transition between a file and a recently modified scratchpad no longer triggers a console error +- dbt v1.5+ now can access the IDE +- Confirm button on the Unsaved Changes modal now closes after clicking it +- Long node names no longer overflow in the parsed logs section in history drawer +- Status pill in history drawer no longer scales with longer command +- Tooltip for tab name with a long file name is no longer cut off +- Lint button should no longer available in main branch From 8d39cd9c59ff3fe859449d2f1b5e94c946808b32 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Wed, 30 Aug 2023 10:54:59 +0100 Subject: [PATCH 227/486] Update website/docs/docs/core/connect-data-platform/bigquery-setup.md --- website/docs/docs/core/connect-data-platform/bigquery-setup.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/core/connect-data-platform/bigquery-setup.md b/website/docs/docs/core/connect-data-platform/bigquery-setup.md index d76c2652375..80150917212 100644 --- a/website/docs/docs/core/connect-data-platform/bigquery-setup.md +++ b/website/docs/docs/core/connect-data-platform/bigquery-setup.md @@ -259,7 +259,7 @@ No timeout is set by default. (For historical reasons, some query types use a de :::caution Note -The `job_execution_timeout_seconds` represents the number of seconds to wait for the [underlying HTTP transport](https://cloud.google.com/python/docs/reference/bigquery/latest/google.cloud.bigquery.job.QueryJob#google_cloud_bigquery_job_QueryJob_result). It DOES NOT represent the maximum allowable time that a BigQuery job can run for within BigQuery itself - this means that even in the scenario above, where dbt-bigquery ran into an exception at 300 seconds, the BigQuery job or query could still be running in BigQuery up to the BigQuery default query job timeout configuration. +The `job_execution_timeout_seconds` represents the number of seconds to wait for the [underlying HTTP transport](https://cloud.google.com/python/docs/reference/bigquery/latest/google.cloud.bigquery.job.QueryJob#google_cloud_bigquery_job_QueryJob_result). It _doesn't_ represent the maximum allowable time for a BigQuery job itself. So, if dbt-bigquery ran into an exception at 300 seconds, the actual BigQuery job could still be running for the time set in BigQuery's own timeout settings. ::: From f52294abe70ba7e1fc706e41b59e94e8a9054c10 Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Wed, 30 Aug 2023 17:35:28 +0100 Subject: [PATCH 228/486] adding more weight to test --- website/docs/docs/build/groups.md | 2 +- website/docs/docs/build/projects.md | 1 + website/docs/docs/build/tests.md | 6 ++++-- website/sidebars.js | 10 +++++----- 4 files changed, 11 insertions(+), 8 deletions(-) diff --git a/website/docs/docs/build/groups.md b/website/docs/docs/build/groups.md index aa33db07ccc..7ac5337ba0d 100644 --- a/website/docs/docs/build/groups.md +++ b/website/docs/docs/build/groups.md @@ -1,6 +1,6 @@ --- title: "Add groups to your DAG" -sidebar_title: "Groups" +sidebar_label: "Groups" id: "groups" description: "When you define groups in dbt projects, you turn implicit relationships into an explicit grouping." keywords: diff --git a/website/docs/docs/build/projects.md b/website/docs/docs/build/projects.md index a7ca3638590..0d7dd889fa6 100644 --- a/website/docs/docs/build/projects.md +++ b/website/docs/docs/build/projects.md @@ -18,6 +18,7 @@ At a minimum, all a project needs is the `dbt_project.yml` project configuration | [sources](/docs/build/sources) | A way to name and describe the data loaded into your warehouse by your Extract and Load tools. | | [exposures](/docs/build/exposures) | A way to define and describe a downstream use of your project. | | [metrics](/docs/build/metrics) | A way for you to define metrics for your project. | +| [groups](/docs/build/groups) | Groups enable collaborative node organization in restricted collections. | | [analysis](/docs/build/analyses) | A way to organize analytical SQL queries in your project such as the general ledger from your QuickBooks. | When building out the structure of your project, you should consider these impacts on your organization's workflow: diff --git a/website/docs/docs/build/tests.md b/website/docs/docs/build/tests.md index 1a40dd42b53..e40d180ee9f 100644 --- a/website/docs/docs/build/tests.md +++ b/website/docs/docs/build/tests.md @@ -1,10 +1,12 @@ --- title: "Add tests to your DAG" -sidebar_title: "Tests" +sidebar_label: "Tests" description: "Read this tutorial to learn how to use tests when building in dbt." id: "tests" +keywords: + - test, tests, testing --- - +# Add tests to your DAG ## Related reference docs * [Test command](/reference/commands/test) * [Test properties](/reference/resource-properties/tests) diff --git a/website/sidebars.js b/website/sidebars.js index d1a6c4664e7..20071752310 100644 --- a/website/sidebars.js +++ b/website/sidebars.js @@ -228,7 +228,6 @@ const sidebarSettings = { label: "Build your DAG", collapsed: true, items: [ - "docs/build/sources", { type: "category", label: "Models", @@ -238,11 +237,15 @@ const sidebarSettings = { "docs/build/python-models", ], }, - "docs/build/seeds", "docs/build/snapshots", + "docs/build/seeds", + "docs/build/tests", + "docs/build/jinja-macros", + "docs/build/sources", "docs/build/exposures", "docs/build/metrics", "docs/build/groups", + "docs/build/analyses", ], }, { @@ -291,7 +294,6 @@ const sidebarSettings = { label: "Enhance your models", collapsed: true, items: [ - "docs/build/tests", "docs/build/materializations", "docs/build/incremental-models", ], @@ -301,11 +303,9 @@ const sidebarSettings = { label: "Enhance your code", collapsed: true, items: [ - "docs/build/jinja-macros", "docs/build/project-variables", "docs/build/environment-variables", "docs/build/packages", - "docs/build/analyses", "docs/build/hooks-operations", ], }, From 1d88c9d6ec3ae79d3100b12b2330c404c6815bdb Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Wed, 30 Aug 2023 18:16:42 +0100 Subject: [PATCH 229/486] add keyword --- website/docs/docs/build/tests.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/build/tests.md b/website/docs/docs/build/tests.md index e40d180ee9f..aff8b469b6b 100644 --- a/website/docs/docs/build/tests.md +++ b/website/docs/docs/build/tests.md @@ -4,7 +4,7 @@ sidebar_label: "Tests" description: "Read this tutorial to learn how to use tests when building in dbt." id: "tests" keywords: - - test, tests, testing + - test, tests, testing, dag --- # Add tests to your DAG ## Related reference docs From 72da3f07a85256babe229882fccde4739fc07e06 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Wed, 30 Aug 2023 14:08:47 -0400 Subject: [PATCH 230/486] Apply suggestions from code review Co-authored-by: Ly Nguyen <107218380+nghi-ly@users.noreply.github.com> --- website/docs/reference/commands/retry.md | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/website/docs/reference/commands/retry.md b/website/docs/reference/commands/retry.md index 71172ce0ca1..5e3871d1684 100644 --- a/website/docs/reference/commands/retry.md +++ b/website/docs/reference/commands/retry.md @@ -31,7 +31,7 @@ Retry works with the following commands: Executing `dbt retry` after a successful `dbt run` will yield the following results: -``` +```shell Running with dbt=1.6.1 Registered adapter: duckdb=1.6.0 Found 5 models, 3 seeds, 20 tests, 0 sources, 0 exposures, 0 metrics, 348 macros, 0 groups, 0 semantic models @@ -39,9 +39,9 @@ Found 5 models, 3 seeds, 20 tests, 0 sources, 0 exposures, 0 metrics, 348 macros Nothing to do. Try checking your model configs and model specification args ``` -In a scenario where `dbt run` has failed due to a syntax error in a model: +Example of when `dbt run` encounters a syntax error in a model: -``` +```shell Running with dbt=1.6.1 Registered adapter: duckdb=1.6.0 Found 5 models, 3 seeds, 20 tests, 0 sources, 0 exposures, 0 metrics, 348 macros, 0 groups, 0 semantic models @@ -70,9 +70,9 @@ Done. PASS=4 WARN=0 ERROR=1 SKIP=0 TOTAL=5 ``` -Executing `dbt retry` without fixing the error(s) will result in another failed run: +Example of a subsequent failed `dbt retry` run without fixing the error(s): -``` +```shell Running with dbt=1.6.1 Registered adapter: duckdb=1.6.0 Found 5 models, 3 seeds, 20 tests, 0 sources, 0 exposures, 0 metrics, 348 macros, 0 groups, 0 semantic models @@ -85,9 +85,9 @@ Concurrency: 24 threads (target='dev') Done. PASS=4 WARN=0 ERROR=1 SKIP=0 TOTAL=5 ``` -Executing `dbt retry` after a failed run, but correcting the issue, will result in a completed run: +Example of a successful `dbt retry` run after fixing error(s): -``` +```shell Running with dbt=1.6.1 Registered adapter: duckdb=1.6.0 Found 5 models, 3 seeds, 20 tests, 0 sources, 0 exposures, 0 metrics, 348 macros, 0 groups, 0 semantic models From 63af107bf18429fa4357a732f986c9ec3d06684a Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Wed, 30 Aug 2023 14:08:54 -0400 Subject: [PATCH 231/486] Apply suggestions from code review Co-authored-by: Ly Nguyen <107218380+nghi-ly@users.noreply.github.com> --- website/docs/reference/commands/retry.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/reference/commands/retry.md b/website/docs/reference/commands/retry.md index 5e3871d1684..d494a46cf1f 100644 --- a/website/docs/reference/commands/retry.md +++ b/website/docs/reference/commands/retry.md @@ -29,7 +29,7 @@ Retry works with the following commands: `dbt retry` reuses the [selectors](/reference/node-selection/yaml-selectors) from the previously executed command. -Executing `dbt retry` after a successful `dbt run` will yield the following results: +Example results of executing `dbt retry` after a successful `dbt run`: ```shell Running with dbt=1.6.1 From 2693862825f158c2916f6ba3a535e661f8d70607 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Wed, 30 Aug 2023 14:23:34 -0400 Subject: [PATCH 232/486] Empty-Commit From 0873110cfba01584307f12847cb8ff7e325cbbd5 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Wed, 30 Aug 2023 17:10:19 -0400 Subject: [PATCH 233/486] Multi-cell doc updates --- .../cloud/about-cloud/regions-ip-addresses.md | 9 ++++++++- .../set-up-sso-google-workspace.md | 2 +- website/docs/docs/deploy/webhooks.md | 20 ++++++++++++------- website/snippets/auth0-uri.md | 3 ++- 4 files changed, 24 insertions(+), 10 deletions(-) diff --git a/website/docs/docs/cloud/about-cloud/regions-ip-addresses.md b/website/docs/docs/cloud/about-cloud/regions-ip-addresses.md index bc8c180f2fd..caeb0203a5e 100644 --- a/website/docs/docs/cloud/about-cloud/regions-ip-addresses.md +++ b/website/docs/docs/cloud/about-cloud/regions-ip-addresses.md @@ -11,10 +11,17 @@ dbt Cloud is [hosted](/docs/cloud/about-cloud/architecture) in multiple regions | Region | Location | Access URL | IP addresses | Developer plan | Team plan | Enterprise plan | |--------|----------|------------|--------------|----------------|-----------|-----------------| -| North America [^1] | AWS us-east-1 (N. Virginia) | cloud.getdbt.com | 52.45.144.63
54.81.134.249
52.22.161.231 | ✅ | ✅ | ✅ | +| North America multi-tenant [^1] | AWS us-east-1 (N. Virginia) | cloud.getdbt.com | 52.45.144.63
54.81.134.249
52.22.161.231 | ✅ | ✅ | ✅ | +| North America Cell 1 [^1] | AWS use-east-1 (N.Virginia) | {account prefix}.us1.dbt.com | [Located in Account Settings](#locating-your-dbt-cloud-ip-addresses) | ❌ | ❌ | ❌ | | EMEA [^1] | AWS eu-central-1 (Frankfurt) | emea.dbt.com | 3.123.45.39
3.126.140.248
3.72.153.148 | ❌ | ❌ | ✅ | | APAC [^1] | AWS ap-southeast-2 (Sydney)| au.dbt.com | 52.65.89.235
3.106.40.33
13.239.155.206
| ❌ | ❌ | ✅ | | Virtual Private dbt or Single tenant | Customized | Customized | Ask [Support](/community/resources/getting-help#dbt-cloud-support) for your IPs | ❌ | ❌ | ✅ | [^1]: These regions support [multi-tenant](/docs/cloud/about-cloud/tenancy) deployment environments hosted by dbt Labs. + +### Locating your dbt Cloud IP addresses + +There are two ways to view your dbt Cloud IP addresses: +- If no projects exist in the account, create a new project, and the IP addresses will be displayed during the **Configure your environment** steps. +- If you have an existing project, navigate to **Account Settings** and ensure you are in the **Projects** pane. Click on a project name, and the **Project Settings** window will open. Locate the **Connection** field and click on the name. Scroll down to the **Settings**, and the first text block lists your IP addresses. diff --git a/website/docs/docs/cloud/manage-access/set-up-sso-google-workspace.md b/website/docs/docs/cloud/manage-access/set-up-sso-google-workspace.md index a206d359270..19779baf615 100644 --- a/website/docs/docs/cloud/manage-access/set-up-sso-google-workspace.md +++ b/website/docs/docs/cloud/manage-access/set-up-sso-google-workspace.md @@ -49,7 +49,7 @@ Client Secret for use in dbt Cloud. | **Application type** | internal | required | | **Application name** | dbt Cloud | required | | **Application logo** | Download the logo here | optional | -| **Authorized domains** | `getdbt.com` (US) `dbt.com` (EMEA or AU) | If deploying into a VPC, use the domain for your deployment | +| **Authorized domains** | `getdbt.com` (US multi-tenant) `getdbt.com` and `dbt.com`(US Cell 1) `dbt.com` (EMEA or AU) | If deploying into a VPC, use the domain for your deployment | | **Scopes** | `email, profile, openid` | The default scopes are sufficient | diff --git a/website/docs/docs/deploy/webhooks.md b/website/docs/docs/deploy/webhooks.md index b4ce7195363..069e7a3e283 100644 --- a/website/docs/docs/deploy/webhooks.md +++ b/website/docs/docs/deploy/webhooks.md @@ -167,7 +167,7 @@ An example of a webhook payload for an errored run: You can use the dbt Cloud API to create new webhooks that you want to subscribe to, get detailed information about your webhooks, and to manage the webhooks that are associated with your account. The following sections describe the API endpoints you can use for this. :::info Access URLs -dbt Cloud is hosted in multiple regions in the world and each region has a different access URL. People on Enterprise plans can choose to have their account hosted in any one of these regions. This section uses `cloud.getdbt.com` (which is for North America) as part of the endpoint but your access URL might be different. For a complete list of available dbt Cloud access URLs, refer to [Regions & IP addresses](/docs/cloud/about-cloud/regions-ip-addresses). +dbt Cloud is hosted in multiple regions in the world and each region has a different access URL. People on Enterprise plans can choose to have their account hosted in any one of these regions. For a complete list of available dbt Cloud access URLs, refer to [Regions & IP addresses](/docs/cloud/about-cloud/regions-ip-addresses). ::: ### List all webhook subscriptions @@ -175,12 +175,13 @@ List all webhooks that are available from a specific dbt Cloud account. #### Request ```shell -GET https://cloud.getdbt.com/api/v3/accounts/{account_id}/webhooks/subscriptions +GET https://{your access URL}/api/v3/accounts/{account_id}/webhooks/subscriptions ``` #### Path parameters | Name | Description | |------------|--------------------------------------| +| `your access URL` | The login URL for your dbt Cloud account. | | `account_id` | The dbt Cloud account the webhooks are associated with. | #### Response sample @@ -265,11 +266,12 @@ Get detailed information about a specific webhook. #### Request ```shell -GET https://cloud.getdbt.com/api/v3/accounts/{account_id}/webhooks/subscription/{webhook_id} +GET https://{your access URL}/api/v3/accounts/{account_id}/webhooks/subscription/{webhook_id} ``` #### Path parameters | Name | Description | |------------|--------------------------------------| +| `your access URL` | The login URL for your dbt Cloud account. | | `account_id` | The dbt Cloud account the webhook is associated with. | | `webhook_id` | The webhook you want detailed information on. | @@ -322,7 +324,7 @@ Create a new outbound webhook and specify the endpoint URL that will be subscrib #### Request sample ```shell -POST https://cloud.getdbt.com/api/v3/accounts/{account_id}/webhooks/subscriptions +POST https://{your access URL}/api/v3/accounts/{account_id}/webhooks/subscriptions ``` ```json @@ -344,6 +346,7 @@ POST https://cloud.getdbt.com/api/v3/accounts/{account_id}/webhooks/subscription #### Path parameters | Name | Description | | --- | --- | +| `your access URL` | The login URL for your dbt Cloud account. | | `account_id` | The dbt Cloud account the webhook is associated with. | #### Request parameters @@ -407,7 +410,7 @@ Update the configuration details for a specific webhook. #### Request sample ```shell -PUT https://cloud.getdbt.com/api/v3/accounts/{account_id}/webhooks/subscription/{webhook_id} +PUT https://{your access URL}/api/v3/accounts/{account_id}/webhooks/subscription/{webhook_id} ``` ```json @@ -429,6 +432,7 @@ PUT https://cloud.getdbt.com/api/v3/accounts/{account_id}/webhooks/subscription/ #### Path parameters | Name | Description | |------------|--------------------------------------| +| `your access URL` | The login URL for your dbt Cloud account. | | `account_id` | The dbt Cloud account the webhook is associated with. | | `webhook_id` | The webhook you want to update. | @@ -491,12 +495,13 @@ Test a specific webhook. #### Request ```shell -GET https://cloud.getdbt.com/api/v3/accounts/{account_id}/webhooks/subscription/{webhook_id}/test +GET https://{your access URL}/api/v3/accounts/{account_id}/webhooks/subscription/{webhook_id}/test ``` #### Path parameters | Name | Description | |------------|--------------------------------------| +| `your access URL` | The login URL for your dbt Cloud account. | | `account_id` | The dbt Cloud account the webhook is associated with. | | `webhook_id` | The webhook you want to test. | @@ -518,12 +523,13 @@ Delete a specific webhook. #### Request ```shell -DELETE https://cloud.getdbt.com/api/v3/accounts/{account_id}/webhooks/subscription/{webhook_id} +DELETE https://{your access URL}/api/v3/accounts/{account_id}/webhooks/subscription/{webhook_id} ``` #### Path parameters | Name | Description | |------------|--------------------------------------| +| `your access URL` | The login URL for your dbt Cloud account. | | `account_id` | The dbt Cloud account the webhook is associated with. | | `webhook_id` | The webhook you want to delete. | diff --git a/website/snippets/auth0-uri.md b/website/snippets/auth0-uri.md index 829aa310ba9..1187902f2e4 100644 --- a/website/snippets/auth0-uri.md +++ b/website/snippets/auth0-uri.md @@ -3,7 +3,8 @@ The URI used for SSO connections on multi-tenant dbt Cloud instances will vary b | Region | dbt Cloud Access URL | Auth0 SSO URI | Auth0 Entity ID * | |--------|-----------------------|-------------------------------|----------------------------------------| -| US | cloud.getdbt.com | auth.cloud.getdbt.com | us-production-mt | +| US multi-tenant | cloud.getdbt.com | auth.cloud.getdbt.com | us-production-mt | +| US cell 1 | {account prefix}.us1.dbt.com | auth.cloud.getdbt.com | us-production-mt | | EMEA | emea.dbt.com | auth.emea.dbt.com | emea-production-mt | | APAC | au.dbt.com | auth.au.dbt.com | au-production-mt | From 5467179673f2a10e43e3e95dc27a52a5f985004c Mon Sep 17 00:00:00 2001 From: Jeremy Cohen Date: Thu, 31 Aug 2023 14:07:09 +0200 Subject: [PATCH 234/486] Distinguish 'inferred' vs 'partial' contracts --- website/docs/docs/collaborate/govern/model-contracts.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/website/docs/docs/collaborate/govern/model-contracts.md b/website/docs/docs/collaborate/govern/model-contracts.md index 380da3c1b72..e323bc42349 100644 --- a/website/docs/docs/collaborate/govern/model-contracts.md +++ b/website/docs/docs/collaborate/govern/model-contracts.md @@ -192,8 +192,8 @@ In some cases, you can replace a test with its equivalent constraint. This has t **Why aren't tests part of the contract?** In a parallel for software APIs, the structure of the API response is the contract. Quality and reliability ("uptime") are also very important attributes of an API's quality, but they are not part of the contract per se. When the contract changes in a backwards-incompatible way, it is a breaking change that requires a bump in major version. -### Can I define a "partial" contract? +### Do I need to define every column for a contract? Currently, dbt contracts apply to **all** columns defined in a model, and they require declaring explicit expectations about **all** of those columns. The explicit declaration of a contract is not an accident—it's very much the intent of this feature. -We are investigating the feasibility of supporting "inferred" or "partial" contracts in the future. This would enable you to define constraints and strict data typing for a subset of columns, while still detecting breaking changes on other columns by comparing against the same model in production. If you're interested, please upvote or comment on [dbt-core#7432](https://github.com/dbt-labs/dbt-core/issues/7432). +At the same time, for models with many columns, we understand that this can mean a _lot_ of yaml. We are investigating the feasibility of supporting "inferred" contracts. This would enable you to define constraints and strict data typing for a subset of columns, while still detecting breaking changes on other columns by comparing against the same model in production. This isn't the same as a "partial" contract, because all columns in the model are still checked at runtime, and matched up with what's defined _explicitly_ in your yaml contract or _implicitly_ with the comparison state. If you're interested in "inferred" contract, please upvote or comment on [dbt-core#7432](https://github.com/dbt-labs/dbt-core/issues/7432). From 86f959382d8f5cd568efd25c1d60e2eb18e4f7d0 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 31 Aug 2023 13:09:04 +0100 Subject: [PATCH 235/486] Create predicate-pushdown.md add predicate pushdown term to use in docs --- website/docs/terms/predicate-pushdown.md | 10 ++++++++++ 1 file changed, 10 insertions(+) create mode 100644 website/docs/terms/predicate-pushdown.md diff --git a/website/docs/terms/predicate-pushdown.md b/website/docs/terms/predicate-pushdown.md new file mode 100644 index 00000000000..cd17bd1b6ee --- /dev/null +++ b/website/docs/terms/predicate-pushdown.md @@ -0,0 +1,10 @@ +--- +id: predicate-pushdown +title: Predicate pushdown +description: A predicate pushdown is an expression used to determine what rows in a database apply to a particular query +displayText: Predicate pushdown +hoverSnippet: A predicate pushdown is an expression used to determine what rows in a database apply to a particular query +--- + +A predicate pushdown is an expression used to determine what rows in a database apply to a particular query. For example, if you filter in a `WHERE` clause based on a specific dimension value, the database searches to determine what values in the database apply to the query. The optimization known as "predicate pushdown" involves applying this filtering process to the database, leading to enhanced and faster query performance. + From 33800bbf79236c00a6143a93e57166179abf00f6 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 31 Aug 2023 13:12:57 +0100 Subject: [PATCH 236/486] Update predicate-pushdown.md --- website/docs/terms/predicate-pushdown.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/terms/predicate-pushdown.md b/website/docs/terms/predicate-pushdown.md index cd17bd1b6ee..8e9bad85b6b 100644 --- a/website/docs/terms/predicate-pushdown.md +++ b/website/docs/terms/predicate-pushdown.md @@ -1,6 +1,6 @@ --- id: predicate-pushdown -title: Predicate pushdown +title: predicate pushdown description: A predicate pushdown is an expression used to determine what rows in a database apply to a particular query displayText: Predicate pushdown hoverSnippet: A predicate pushdown is an expression used to determine what rows in a database apply to a particular query From 5d68215df566888cbefa2b162cfe8e4f2c237ab6 Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Thu, 31 Aug 2023 13:16:45 +0100 Subject: [PATCH 237/486] clarify predicate pushdown and add term --- website/docs/docs/dbt-cloud-apis/sl-jdbc.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/dbt-cloud-apis/sl-jdbc.md b/website/docs/docs/dbt-cloud-apis/sl-jdbc.md index 44fadedb986..f847e9896c1 100644 --- a/website/docs/docs/dbt-cloud-apis/sl-jdbc.md +++ b/website/docs/docs/dbt-cloud-apis/sl-jdbc.md @@ -242,7 +242,7 @@ select * from {{ ### Query with where filters -Where filters in API allow for a filter list or string. We recommend using the filter list for production application as this format will realize all benefits from predicate pushdown where possible. +Where filters in API allow for a filter list or string. We recommend using the filter list for production application as this format will realize all benefits from the where possible. Where Filters have a few objects that you can use: From 0c4c8cd0f464240a16d0e31e4335f69262526479 Mon Sep 17 00:00:00 2001 From: Jeremy Cohen Date: Thu, 31 Aug 2023 14:23:26 +0200 Subject: [PATCH 238/486] Clarify note about dbt-rpc deprecation --- website/docs/reference/commands/rpc.md | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/website/docs/reference/commands/rpc.md b/website/docs/reference/commands/rpc.md index a98799356ee..cf9fc57194f 100644 --- a/website/docs/reference/commands/rpc.md +++ b/website/docs/reference/commands/rpc.md @@ -12,16 +12,18 @@ description: "Remote Procedure Call (rpc) dbt server compiles and runs queries, -### Overview +:::caution Deprecation -You can use the `dbt-rpc` plugin to run a Remote Procedure Call (rpc) dbt server. This server compiles and runs queries in the context of a dbt project. Additionally, the RPC server provides methods that enable you to list and terminate running processes. We recommend running an rpc server from a directory containing a dbt project. The server will compile the project into memory, then accept requests to operate against that project's dbt context. +**The dbt-rpc plugin is deprecated.** -:::caution Deprecation -**The dbt-rpc plugin will be fully deprecated by the second half of 2023.** +dbt Labs actively maintained `dbt-rpc` for compatibility with dbt-core versions up to v1.5. Starting with dbt-core v1.6 (released in July 2023), `dbt-rpc` is no longer supported for ongoing compatibility. In the meantime, dbt Labs will be performing critical maintenance only for `dbt-rpc`, until the last compatible version of dbt-core has reached the end of official support (see [version policies](/docs/dbt-versions/core)). At that point, dbt Labs will archive this repository to be read-only. -dbt Labs is actively maintaining `dbt-rpc` up to dbt v1.4. Starting in v1.5, we intend to break `dbt-rpc` compatibility in favor of [the new dbt Server](https://github.com/dbt-labs/dbt-server). dbt Labs will perform critical maintenance only on `dbt-rpc`, until the last compatible version of dbt has reached the end of official support (thus 12 months after release of v1.4; [see Core version policies](/docs/dbt-versions/core)). ::: +### Overview + +You can use the `dbt-rpc` plugin to run a Remote Procedure Call (rpc) dbt server. This server compiles and runs queries in the context of a dbt project. Additionally, the RPC server provides methods that enable you to list and terminate running processes. We recommend running an rpc server from a directory containing a dbt project. The server will compile the project into memory, then accept requests to operate against that project's dbt context. + :::caution Running on Windows We do not recommend running the rpc server on Windows because of reliability issues. A Docker container may provide a useful workaround, if required. ::: From 734b78aa6c99ea0dededf410ad1a754968fd3ece Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Thu, 31 Aug 2023 11:15:54 -0400 Subject: [PATCH 239/486] Fixing text formatting on connection page --- .../connect-redshift-postgresql-alloydb.md | 24 ++++++++----------- 1 file changed, 10 insertions(+), 14 deletions(-) diff --git a/website/docs/docs/cloud/connect-data-platform/connect-redshift-postgresql-alloydb.md b/website/docs/docs/cloud/connect-data-platform/connect-redshift-postgresql-alloydb.md index 72fe9e0449c..dae0ee1d178 100644 --- a/website/docs/docs/cloud/connect-data-platform/connect-redshift-postgresql-alloydb.md +++ b/website/docs/docs/cloud/connect-data-platform/connect-redshift-postgresql-alloydb.md @@ -47,20 +47,16 @@ To configure the SSH tunnel in dbt Cloud, you'll need to provide the hostname/IP - Verify the bastion server has its network security rules set up to accept connections from the [dbt Cloud IP addresses](/docs/cloud/about-cloud/regions-ip-addresses) on whatever port you configured. - Set up the user account by using the bastion servers instance's CLI, The following example uses the username `dbtcloud:` - `sudo groupadd dbtcloud`
- - `sudo useradd -m -g dbtcloud dbtcloud`
- - `sudo su - dbtcloud`
- - `mkdir ~/.ssh`
- - `chmod 700 ~/.ssh`
- - `touch ~/.ssh/authorized_keys`
- - `chmod 600 ~/.ssh/authorized_keys`
- +```shell +sudo groupadd dbtcloud +sudo useradd -m -g dbtcloud dbtcloud +sudo su - dbtcloud +mkdir ~/.ssh +chmod 700 ~/.ssh +touch ~/.ssh/authorized_keys +chmod 600 ~/.ssh/authorized_keys +``` + - Copy and paste the dbt Cloud generated public key, into the authorized_keys file. The Bastion server should now be ready for dbt Cloud to use as a tunnel into the Redshift environment. From 8b5ba8607db8062dd4e808e7eb80e9eaf8e24428 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 31 Aug 2023 16:50:33 +0100 Subject: [PATCH 240/486] Update website/docs/docs/build/tests.md Co-authored-by: Ly Nguyen <107218380+nghi-ly@users.noreply.github.com> --- website/docs/docs/build/tests.md | 1 - 1 file changed, 1 deletion(-) diff --git a/website/docs/docs/build/tests.md b/website/docs/docs/build/tests.md index aff8b469b6b..2cc73847667 100644 --- a/website/docs/docs/build/tests.md +++ b/website/docs/docs/build/tests.md @@ -6,7 +6,6 @@ id: "tests" keywords: - test, tests, testing, dag --- -# Add tests to your DAG ## Related reference docs * [Test command](/reference/commands/test) * [Test properties](/reference/resource-properties/tests) From c62bd35af4d9c72b569c7becae7ec784dbd9bc39 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 31 Aug 2023 16:51:59 +0100 Subject: [PATCH 241/486] Update tests.md add weight for search --- website/docs/docs/build/tests.md | 1 + 1 file changed, 1 insertion(+) diff --git a/website/docs/docs/build/tests.md b/website/docs/docs/build/tests.md index 2cc73847667..c107dacf7b2 100644 --- a/website/docs/docs/build/tests.md +++ b/website/docs/docs/build/tests.md @@ -2,6 +2,7 @@ title: "Add tests to your DAG" sidebar_label: "Tests" description: "Read this tutorial to learn how to use tests when building in dbt." +search_weight: "heavy" id: "tests" keywords: - test, tests, testing, dag From 52e8201e7b11c2c12616ad53083ec2828652649f Mon Sep 17 00:00:00 2001 From: Anders Date: Thu, 31 Aug 2023 14:15:20 -0400 Subject: [PATCH 242/486] Update add-adapter-to-trusted-list.yml --- .github/ISSUE_TEMPLATE/add-adapter-to-trusted-list.yml | 8 +------- 1 file changed, 1 insertion(+), 7 deletions(-) diff --git a/.github/ISSUE_TEMPLATE/add-adapter-to-trusted-list.yml b/.github/ISSUE_TEMPLATE/add-adapter-to-trusted-list.yml index 1706f1c0e6a..30e47c86567 100644 --- a/.github/ISSUE_TEMPLATE/add-adapter-to-trusted-list.yml +++ b/.github/ISSUE_TEMPLATE/add-adapter-to-trusted-list.yml @@ -41,11 +41,5 @@ body: - label: I am a maintainer of the adapter being submited for Trusted status - label: I have read both the [Trusted adapters](https://docs.getdbt.com/docs/trusted-adapters) and [Building a Trusted Adapter](https://docs.getdbt.com/guides/dbt-ecosystem/adapter-development/8-building-a-trusted-adapter) pages. - label: I believe that the adapter currently meets the expectations given above -- label: I will ensure this adapter stays in compliance with the guidelines + - label: I will ensure this adapter stays in compliance with the guidelines - label: I understand that dbt Labs reserves the right to remove an adapter from the trusted adapter list at any time, should any of the below guidelines not be met - validations: - required: true - - - - From 9dec3a3a440a34e86d0ef73cb5092eb5e503d855 Mon Sep 17 00:00:00 2001 From: Anders Date: Thu, 31 Aug 2023 14:18:00 -0400 Subject: [PATCH 243/486] Rename add-adapter-to-trusted-list.yml to zzz_add-adapter-to-trusted-list.yml --- ...er-to-trusted-list.yml => zzz_add-adapter-to-trusted-list.yml} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename .github/ISSUE_TEMPLATE/{add-adapter-to-trusted-list.yml => zzz_add-adapter-to-trusted-list.yml} (100%) diff --git a/.github/ISSUE_TEMPLATE/add-adapter-to-trusted-list.yml b/.github/ISSUE_TEMPLATE/zzz_add-adapter-to-trusted-list.yml similarity index 100% rename from .github/ISSUE_TEMPLATE/add-adapter-to-trusted-list.yml rename to .github/ISSUE_TEMPLATE/zzz_add-adapter-to-trusted-list.yml From b7572a12303d3bce9b5ad3fb89de73d9b3a89aa2 Mon Sep 17 00:00:00 2001 From: allie dukuze Date: Thu, 31 Aug 2023 11:21:44 -0700 Subject: [PATCH 244/486] updating docs for integrations --- website/docs/docs/cloud/git/connect-azure-devops.md | 1 + website/docs/docs/cloud/git/connect-gitlab.md | 2 ++ 2 files changed, 3 insertions(+) diff --git a/website/docs/docs/cloud/git/connect-azure-devops.md b/website/docs/docs/cloud/git/connect-azure-devops.md index a84e593a1e2..1761ea79644 100644 --- a/website/docs/docs/cloud/git/connect-azure-devops.md +++ b/website/docs/docs/cloud/git/connect-azure-devops.md @@ -23,3 +23,4 @@ To connect Azure DevOps in dbt Cloud: 2. dbt Cloud developers need to [personally authenticate with Azure DevOps](/docs/cloud/git/authenticate-azure) from dbt Cloud. +If you're a Business Critical customer using IP restrictions ensure you've added the appropriate Azure DevOps CIDRs to your IP restriction rules, or else the Azure DevOps connection will fail. diff --git a/website/docs/docs/cloud/git/connect-gitlab.md b/website/docs/docs/cloud/git/connect-gitlab.md index 1ec8fb08817..2bb174efc85 100644 --- a/website/docs/docs/cloud/git/connect-gitlab.md +++ b/website/docs/docs/cloud/git/connect-gitlab.md @@ -71,6 +71,8 @@ The application form in GitLab should look as follows when completed: Click **Save application** in GitLab, and GitLab will then generate an **Application ID** and **Secret**. These values will be available even if you close the app screen, so this is not the only chance you have to save them. +If you're a Business Critical customer using IP restrictions ensure you've added the appropriate Gitlab CIDRs to your IP restriction rules, or else the Gitlab connection will fail. + ### Adding the GitLab OAuth application to dbt Cloud After you've created your GitLab application, you need to provide dbt Cloud information about the app. In dbt Cloud, account admins should navigate to **Account Settings**, click on the **Integrations** tab, and expand the GitLab section. From 6bd23db683a27b91b1231d6fc4056db22f8bfa1a Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Thu, 31 Aug 2023 14:52:47 -0400 Subject: [PATCH 245/486] Auto collapse categories when new one is selected --- website/docusaurus.config.js | 1 + 1 file changed, 1 insertion(+) diff --git a/website/docusaurus.config.js b/website/docusaurus.config.js index 24030624290..0cc6299ed39 100644 --- a/website/docusaurus.config.js +++ b/website/docusaurus.config.js @@ -51,6 +51,7 @@ var siteSettings = { docs:{ sidebar: { hideable: true, + autoCollapseCategories: true, }, }, image: "/img/avatar.png", From 16c5525267fd3c0d6bd7df32758b1a2a5d2c11e1 Mon Sep 17 00:00:00 2001 From: Ammar Chalifah <38188988+ammarchalifah@users.noreply.github.com> Date: Thu, 31 Aug 2023 22:00:35 +0300 Subject: [PATCH 246/486] Update databricks-configs.md to include liquid_clustered_by parameter --- website/docs/reference/resource-configs/databricks-configs.md | 1 + 1 file changed, 1 insertion(+) diff --git a/website/docs/reference/resource-configs/databricks-configs.md b/website/docs/reference/resource-configs/databricks-configs.md index 41b0bfcc5ea..5ec110fa30b 100644 --- a/website/docs/reference/resource-configs/databricks-configs.md +++ b/website/docs/reference/resource-configs/databricks-configs.md @@ -12,6 +12,7 @@ When materializing a model as `table`, you may include several optional configs | file_format | The file format to use when creating tables (`parquet`, `delta`, `hudi`, `csv`, `json`, `text`, `jdbc`, `orc`, `hive` or `libsvm`). | Optional | `delta`| | location_root | The created table uses the specified directory to store its data. The table alias is appended to it. | Optional | `/mnt/root` | | partition_by | Partition the created table by the specified columns. A directory is created for each partition. | Optional | `date_day` | +| liquid_clustered_by | Cluster the created table by the specified columns. Clustering method is based on [Delta's Liquid Clustering feature](https://docs.databricks.com/en/delta/clustering.html). | Optional | `date_day` | | clustered_by | Each partition in the created table will be split into a fixed number of buckets by the specified columns. | Optional | `country_code` | | buckets | The number of buckets to create while clustering | Required if `clustered_by` is specified | `8` | From c3a3eee281467f035923b0b5ca134bc23a994e37 Mon Sep 17 00:00:00 2001 From: Ammar Chalifah <38188988+ammarchalifah@users.noreply.github.com> Date: Thu, 31 Aug 2023 22:04:24 +0300 Subject: [PATCH 247/486] Add version information --- website/docs/reference/resource-configs/databricks-configs.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/reference/resource-configs/databricks-configs.md b/website/docs/reference/resource-configs/databricks-configs.md index 5ec110fa30b..dc7f0cd53e3 100644 --- a/website/docs/reference/resource-configs/databricks-configs.md +++ b/website/docs/reference/resource-configs/databricks-configs.md @@ -12,7 +12,7 @@ When materializing a model as `table`, you may include several optional configs | file_format | The file format to use when creating tables (`parquet`, `delta`, `hudi`, `csv`, `json`, `text`, `jdbc`, `orc`, `hive` or `libsvm`). | Optional | `delta`| | location_root | The created table uses the specified directory to store its data. The table alias is appended to it. | Optional | `/mnt/root` | | partition_by | Partition the created table by the specified columns. A directory is created for each partition. | Optional | `date_day` | -| liquid_clustered_by | Cluster the created table by the specified columns. Clustering method is based on [Delta's Liquid Clustering feature](https://docs.databricks.com/en/delta/clustering.html). | Optional | `date_day` | +| liquid_clustered_by | Cluster the created table by the specified columns. Clustering method is based on [Delta's Liquid Clustering feature](https://docs.databricks.com/en/delta/clustering.html). Available since dbt-databricks 1.6.2. | Optional | `date_day` | | clustered_by | Each partition in the created table will be split into a fixed number of buckets by the specified columns. | Optional | `country_code` | | buckets | The number of buckets to create while clustering | Required if `clustered_by` is specified | `8` | From 489412c8ad101902c44cd5351d98e8cfdd63ca5f Mon Sep 17 00:00:00 2001 From: Ly Nguyen Date: Thu, 31 Aug 2023 13:13:12 -0700 Subject: [PATCH 248/486] Release note: changes to Discovery API endpoints --- .../deprecation-endpoints-discovery.md | 126 ++++++++++++++++++ 1 file changed, 126 insertions(+) create mode 100644 website/docs/docs/dbt-versions/release-notes/05-Aug-2023/deprecation-endpoints-discovery.md diff --git a/website/docs/docs/dbt-versions/release-notes/05-Aug-2023/deprecation-endpoints-discovery.md b/website/docs/docs/dbt-versions/release-notes/05-Aug-2023/deprecation-endpoints-discovery.md new file mode 100644 index 00000000000..b821a5ae764 --- /dev/null +++ b/website/docs/docs/dbt-versions/release-notes/05-Aug-2023/deprecation-endpoints-discovery.md @@ -0,0 +1,126 @@ +--- +title: "Query patterns and endpoints in the dbt Cloud Discovery API" +description: "August 2023: Learn about the upcoming deprecation of certain endpoints and query patterns in the Discovery API." +sidebar_position: 6 +sidebar_label: "Deprecation: Certain Dicovery API endpoints and query patterns" +tags: [Aug-2023, API] +date: 2023-08-31 +--- + +dbt Labs has deprecated and will be deprecating certain query patterns and replacing them with new conventions that will enhance the performance of the dbt Cloud [Discovery API](/docs/dbt-cloud-apis/discovery-api). + +All these changes will be in effect on _September 7, 2023_. + +We understand that these changes might require adjustments to your existing integration with the Discovery API. Please [contact us](mailto:support@getdbt.com) with any questions. We're here to help you during this transition period. + +## Job-based queries + +Job-based queries that use the data type `Int` for IDs will be deprecated. They will be marked as deprecated in the [GraphQL explorer](https://metadata.cloud.getdbt.com/graphql). The new convention will be for you to use the data type `BigInt` instead. + +This change will be in effect starting September 7, 2023. + + +Example of query before deprecation: + +```graphql +query ($jobId: Int!) { + models(jobId: $jobId){ + uniqueId + } +} +``` + +Example of query after deprecation: + +```graphql +query ($jobId: BigInt!) { + job(id: $jobId) { + models { + uniqueId + } + } +} +``` + +## modelByEnvironment queries + +The `modelByEnvironment` object will be renamed and is being moved into the `environment` object. This change is in effect starting August 15, 2023. + +Example of query before deprecation: + +```graphql +query ($environmentId: Int!, $uniqueId: String) { + modelByEnvironment(environmentId: $environmentId, uniqueId: $uniqueId) { + uniqueId + executionTime + executeCompletedAt + } +} +``` + +Example of query after deprecation: + +```graphql +query ($environmentId: BigInt!, $uniqueId: String) { + environment(id: $environmentId) { + applied { + modelHistoricalRuns(uniqueId: $uniqueId) { + uniqueId + executionTime + executeCompletedAt + } + } + } +} +``` + + +## Environment and account queries + +Environment and account queries that use `Int` as a data type for ID is deprecated. IDs now must be in `BigInt`. This change is in effect starting on August 15, 2023. + + +Example of query before deprecation: + +```graphql +query ($environmentId: Int!, $first: Int!) { + environment(id: $environmentId) { + applied { + models(first: $first) { + edges { + node { + uniqueId + executionInfo { + lastRunId + } + } + } + } + } + } +} +``` + + +Example of query after deprecation: + +```graphql +query ($environmentId: BigInt!, $first: Int!) { + environment(id: $environmentId) { + applied { + models(first: $first) { + edges { + node { + uniqueId + executionInfo { + lastRunId + } + } + } + } + } + } +} +``` + + From e85a2a61c892546be8bd922c88994d9df605b265 Mon Sep 17 00:00:00 2001 From: Ly Nguyen Date: Thu, 31 Aug 2023 13:41:08 -0700 Subject: [PATCH 249/486] Minor tweaks --- .../05-Aug-2023/deprecation-endpoints-discovery.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/website/docs/docs/dbt-versions/release-notes/05-Aug-2023/deprecation-endpoints-discovery.md b/website/docs/docs/dbt-versions/release-notes/05-Aug-2023/deprecation-endpoints-discovery.md index b821a5ae764..540d6d21b18 100644 --- a/website/docs/docs/dbt-versions/release-notes/05-Aug-2023/deprecation-endpoints-discovery.md +++ b/website/docs/docs/dbt-versions/release-notes/05-Aug-2023/deprecation-endpoints-discovery.md @@ -7,7 +7,7 @@ tags: [Aug-2023, API] date: 2023-08-31 --- -dbt Labs has deprecated and will be deprecating certain query patterns and replacing them with new conventions that will enhance the performance of the dbt Cloud [Discovery API](/docs/dbt-cloud-apis/discovery-api). +dbt Labs has deprecated and will be deprecating certain query patterns and replacing them with new conventions to enhance the performance of the dbt Cloud [Discovery API](/docs/dbt-cloud-apis/discovery-api). All these changes will be in effect on _September 7, 2023_. @@ -44,7 +44,7 @@ query ($jobId: BigInt!) { ## modelByEnvironment queries -The `modelByEnvironment` object will be renamed and is being moved into the `environment` object. This change is in effect starting August 15, 2023. +The `modelByEnvironment` object has been renamed and moved into the `environment` object. This change is in effect and has been since August 15, 2023. Example of query before deprecation: @@ -77,7 +77,7 @@ query ($environmentId: BigInt!, $uniqueId: String) { ## Environment and account queries -Environment and account queries that use `Int` as a data type for ID is deprecated. IDs now must be in `BigInt`. This change is in effect starting on August 15, 2023. +Environment and account queries that use `Int` as a data type for ID has been deprecated. IDs must now be in `BigInt`. This change is in effect and has been since August 15, 2023. Example of query before deprecation: From a048718c042e69f0f6a9650772fcac975d20e7fb Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Thu, 31 Aug 2023 17:08:33 -0400 Subject: [PATCH 250/486] Fixing correct page --- website/docs/docs/build/python-models.md | 6 + .../building-models/python-models.md | 719 ------------------ 2 files changed, 6 insertions(+), 719 deletions(-) delete mode 100644 website/docs/docs/building-a-dbt-project/building-models/python-models.md diff --git a/website/docs/docs/build/python-models.md b/website/docs/docs/build/python-models.md index 12825648501..bff65362d06 100644 --- a/website/docs/docs/build/python-models.md +++ b/website/docs/docs/build/python-models.md @@ -16,11 +16,15 @@ We encourage you to: dbt Python (`dbt-py`) models can help you solve use cases that can't be solved with SQL. You can perform analyses using tools available in the open-source Python ecosystem, including state-of-the-art packages for data science and statistics. Before, you would have needed separate infrastructure and orchestration to run Python transformations in production. Python transformations defined in dbt are models in your project with all the same capabilities around testing, documentation, and lineage. + Python models are supported in dbt Core 1.3 and higher. Learn more about [upgrading your version in dbt Cloud](https://docs.getdbt.com/docs/dbt-cloud/cloud-configuring-dbt-cloud/cloud-upgrading-dbt-versions) and [upgrading dbt Core versions](https://docs.getdbt.com/docs/core-versions#upgrading-to-new-patch-versions). To read more about Python models, change the [docs version to 1.3](/docs/build/python-models?version=1.3) (or higher) in the menu bar. + + + @@ -711,3 +715,5 @@ You can also install packages at cluster creation time by [defining cluster prop
+ + \ No newline at end of file diff --git a/website/docs/docs/building-a-dbt-project/building-models/python-models.md b/website/docs/docs/building-a-dbt-project/building-models/python-models.md deleted file mode 100644 index 9c1127bb9f2..00000000000 --- a/website/docs/docs/building-a-dbt-project/building-models/python-models.md +++ /dev/null @@ -1,719 +0,0 @@ ---- -title: "Python models" ---- - -:::info Brand new! - -dbt Core v1.3 included first-ever support for Python models. Note that only [specific data platforms](#specific-data-platforms) support dbt-py models. - -We encourage you to: -- Read [the original discussion](https://github.com/dbt-labs/dbt-core/discussions/5261) that proposed this feature. -- Contribute to [best practices for developing Python models in dbt](https://discourse.getdbt.com/t/dbt-python-model-dbt-py-best-practices/5204 ). -- Weigh in on [next steps for Python models, beyond v1.3](https://github.com/dbt-labs/dbt-core/discussions/5742). -- Join the **#dbt-core-python-models** channel in the [dbt Community Slack](https://www.getdbt.com/community/join-the-community/). - -Below, you'll see sections entitled "❓ **Our questions**." We are excited to have released a first narrow set of functionality in v1.3, which will solve real use cases. We also know this is a first step into a much wider field of possibility. We don't pretend to have all the answers. We're excited to keep developing our opinionated recommendations and next steps for product development—and we want your help. Comment in the GitHub discussions; leave thoughts in Slack; bring up dbt + Python in casual conversation with colleagues and friends. -::: - -## About Python models in dbt - -dbt Python ("dbt-py") models will help you solve use cases that can't be solved with SQL. You can perform analyses using tools available in the open source Python ecosystem, including state-of-the-art packages for data science and statistics. Before, you would have needed separate infrastructure and orchestration to run Python transformations in production. By defining your Python transformations in dbt, they're just models in your project, with all the same capabilities around testing, documentation, and lineage. - - - -Python models are supported in dbt Core 1.3 and above. Learn more about [upgrading your version in dbt Cloud](https://docs.getdbt.com/docs/dbt-cloud/cloud-configuring-dbt-cloud/cloud-upgrading-dbt-versions) and [upgrading dbt Core versions](https://docs.getdbt.com/docs/core-versions#upgrading-to-new-patch-versions). - -To read more about Python models, change the docs version to 1.3 or higher in the menu above. - - - - - - - - -```python -import ... - -def model(dbt, session): - - my_sql_model_df = dbt.ref("my_sql_model") - - final_df = ... # stuff you can't write in SQL! - - return final_df -``` - - - - - -```yml -version: 2 - -models: - - name: my_python_model - - # Document within the same codebase - description: My transformation written in Python - - # Configure in ways that feel intuitive and familiar - config: - materialized: table - tags: ['python'] - - # Test the results of my Python transformation - columns: - - name: id - # Standard validation for 'grain' of Python results - tests: - - unique - - not_null - tests: - # Write your own validation logic (in SQL) for Python results - - [custom_generic_test](writing-custom-generic-tests) -``` - - - - - - -The prerequisites for dbt Python models include using an adapter for a data platform that supports a fully featured Python runtime. In a dbt Python model, all Python code is executed remotely on the platform. None of it is run by dbt locally. We believe in clearly separating _model definition_ from _model execution_. In this and many other ways, you'll find that dbt's approach to Python models mirrors its longstanding approach to modeling data in SQL. - -We've written this guide assuming that you have some familiarity with dbt. If you've never before written a dbt model, we encourage you to start by first reading [dbt Models](/docs/build/models). Throughout, we'll be drawing connections between Python models and SQL models, as well as making clear their differences. - -### What is a Python model? - -A dbt Python model is a function that reads in dbt sources or other models, applies a series of transformations, and returns a transformed dataset. DataFrame operations define the starting points, the end state, and each step along the way. - -This is similar to the role of CTEs in dbt SQL models. We use CTEs to pull in upstream datasets, define (and name) a series of meaningful transformations, and end with a final `select` statement. You can run the compiled version of a dbt SQL model to see the data included in the resulting view or table. When you `dbt run`, dbt wraps that query in `create view`, `create table`, or more complex DDL to save its results in the database. - -Instead of a final `select` statement, each Python model returns a final DataFrame. Each DataFrame operation is "lazily evaluated." In development, you can preview its data, using methods like `.show()` or `.head()`. When you run a Python model, the full result of the final DataFrame will be saved as a table in your data warehouse. - -dbt Python models have access to almost all of the same configuration options as SQL models. You can test them, document them, add `tags` and `meta` properties to them, grant access to their results to other users, and so on. You can select them by their name, their file path, their configurations, whether they are upstream or downstream of another model, or whether they have been modified compared to a previous project state. - -### Defining a Python model - -Each Python model lives in a `.py` file in your `models/` folder. It defines a function named **`model()`**, which takes two parameters: -- **`dbt`**: A class compiled by dbt Core, unique to each model, enables you to run your Python code in the context of your dbt project and DAG. -- **`session`**: A class representing your data platform’s connection to the Python backend. The session is needed to read in tables as DataFrames, and to write DataFrames back to tables. In PySpark, by convention, the `SparkSession` is named `spark`, and available globally. For consistency across platforms, we always pass it into the `model` function as an explicit argument called `session`. - -The `model()` function must return a single DataFrame. On Snowpark (Snowflake), this can be a Snowpark or pandas DataFrame. Via PySpark (Databricks + BigQuery), this can be a Spark, pandas, or pandas-on-Spark DataFrame. For more about choosing between pandas and native DataFrames, see [DataFrame API + syntax](#dataframe-api--syntax). - -When you `dbt run --select python_model`, dbt will prepare and pass in both arguments (`dbt` and `session`). All you have to do is define the function. This is how every single Python model should look: - - - -```python -def model(dbt, session): - - ... - - return final_df -``` - - - - -### Referencing other models - -Python models participate fully in dbt's directed acyclic graph (DAG) of transformations. Use the `dbt.ref()` method within a Python model to read in data from other models (SQL or Python). If you want to read directly from a raw source table, use `dbt.source()`. These methods return DataFrames pointing to the upstream source, model, seed, or snapshot. - - - -```python -def model(dbt, session): - - # DataFrame representing an upstream model - upstream_model = dbt.ref("upstream_model_name") - - # DataFrame representing an upstream source - upstream_source = dbt.source("upstream_source_name", "table_name") - - ... -``` - - - -Of course, you can `ref()` your Python model in downstream SQL models, too: - - - -```sql -with upstream_python_model as ( - - select * from {{ ref('my_python_model') }} - -), - -... -``` - - - -### Configuring Python models - -Just like SQL models, there are three ways to configure Python models: -1. In `dbt_project.yml`, where you can configure many models at once -2. In a dedicated `.yml` file, within the `models/` directory -3. Within the model's `.py` file, using the `dbt.config()` method - -Calling the `dbt.config()` method will set configurations for your model right within your `.py` file, similar to the `{{ config() }}` macro in `.sql` model files: - - - -```python -def model(dbt, session): - - # setting configuration - dbt.config(materialized="table") -``` - - - -There's a limit to how fancy you can get with the `dbt.config()` method. It accepts _only_ literal values (strings, booleans, and numeric types). Passing another function or a more complex data structure is not possible. The reason is that dbt statically analyzes the arguments to `config()` while parsing your model without executing your Python code. If you need to set a more complex configuration, we recommend you define it using the [`config` property](resource-properties/config) in a YAML file. - -#### Accessing project context - -dbt Python models don't use Jinja to render compiled code. Python models have limited access to global project contexts compared to SQL models. That context is made available from the `dbt` class, passed in as an argument to the `model()` function. - -Out of the box, the `dbt` class supports: -- Returning DataFrames referencing the locations of other resources: `dbt.ref()` + `dbt.source()` -- Accessing the database location of the current model: `dbt.this()` (also: `dbt.this.database`, `.schema`, `.identifier`) -- Determining if the current model's run is incremental: `dbt.is_incremental` - -It is possible to extend this context by "getting" them via `dbt.config.get()` after they are configured in the [model's config](/reference/model-configs). This includes inputs such as `var`, `env_var`, and `target`. If you want to use those values to power conditional logic in your model, we require setting them through a dedicated `.yml` file config: - - - -```yml -version: 2 - -models: - - name: my_python_model - config: - materialized: table - target_name: "{{ target.name }}" - specific_var: "{{ var('SPECIFIC_VAR') }}" - specific_env_var: "{{ env_var('SPECIFIC_ENV_VAR') }}" -``` - - - -Then, within the model's Python code, use the `dbt.config.get()` function to _access_ values of configurations that have been set: - - - -```python -def model(dbt, session): - target_name = dbt.config.get("target_name") - specific_var = dbt.config.get("specific_var") - specific_env_var = dbt.config.get("specific_env_var") - - orders_df = dbt.ref("fct_orders") - - # limit data in dev - if target_name == "dev": - orders_df = orders_df.limit(500) -``` - - - -### Materializations - -Python models support two materializations: -- `table` -- `incremental` - -Incremental Python models support all the same [incremental strategies](/docs/build/incremental-models#about-incremental_strategy) as their SQL counterparts. The specific strategies supported depend on your adapter. - -Python models can't be materialized as `view` or `ephemeral`. Python isn't supported for non-model resource types (like tests and snapshots). - -For incremental models, like SQL models, you will need to filter incoming tables to only new rows of data: - - - -
- - - -```python -import snowflake.snowpark.functions as F - -def model(dbt, session): - dbt.config( - materialized = "incremental", - unique_key = "id", - ) - df = dbt.ref("upstream_table") - - if dbt.is_incremental: - - # only new rows compared to max in current table - max_from_this = f"select max(updated_at) from {dbt.this}" - df = df.filter(df.updated_at > session.sql(max_from_this).collect()[0][0]) - - # or only rows from the past 3 days - df = df.filter(df.updated_at >= F.dateadd("day", F.lit(-3), F.current_timestamp())) - - ... - - return df -``` - - - -
- -
- - - -```python -import pyspark.sql.functions as F - -def model(dbt, session): - dbt.config( - materialized = "incremental", - unique_key = "id", - ) - df = dbt.ref("upstream_table") - - if dbt.is_incremental: - - # only new rows compared to max in current table - max_from_this = f"select max(updated_at) from {dbt.this}" - df = df.filter(df.updated_at > session.sql(max_from_this).collect()[0][0]) - - # or only rows from the past 3 days - df = df.filter(df.updated_at >= F.date_add(F.current_timestamp(), F.lit(-3))) - - ... - - return df -``` - - - -
- - - -**Note:** Incremental models are supported on BigQuery/Dataproc for the `merge` incremental strategy. The `insert_overwrite` strategy is not yet supported. - -## Python-specific functionality - -### Defining functions - -In addition to defining a `model` function, the Python model can import other functions or define its own. Here's an example, on Snowpark, defining a custom `add_one` function: - - - -```python -def add_one(x): - return x + 1 - -def model(dbt, session): - dbt.config(materialized="table") - temps_df = dbt.ref("temperatures") - - # warm things up just a little - df = temps_df.withColumn("degree_plus_one", add_one(temps_df["degree"])) - return df -``` - - - -At present, Python functions defined in one dbt model can't be imported and reused in other models. See the ["Code reuse"](#code-reuse) section for the potential patterns we're considering. - -### Using PyPI packages - -You can also define functions that depend on third-party packages, so long as those packages are installed and available to the Python runtime on your data platform. See notes on "Installing Packages" for [specific data warehouses](#specific-data-warehouses). - -In this example, we use the `holidays` package to determine if a given date is a holiday in France. For simplicity and consistency across platforms, the code below uses the pandas API. The exact syntax, and the need to refactor for multi-node processing, still varies. - - - -
- - - -```python -import holidays - -def is_holiday(date_col): - # Chez Jaffle - french_holidays = holidays.France() - is_holiday = (date_col in french_holidays) - return is_holiday - -def model(dbt, session): - dbt.config( - materialized = "table", - packages = ["holidays"] - ) - - orders_df = dbt.ref("stg_orders") - - df = orders_df.to_pandas() - - # apply our function - # (columns need to be in uppercase on Snowpark) - df["IS_HOLIDAY"] = df["ORDER_DATE"].apply(is_holiday) - - # return final dataset (Pandas DataFrame) - return df -``` - - - -
- -
- - - -```python -import holidays - -def is_holiday(date_col): - # Chez Jaffle - french_holidays = holidays.France() - is_holiday = (date_col in french_holidays) - return is_holiday - -def model(dbt, session): - dbt.config( - materialized = "table", - packages = ["holidays"] - ) - - orders_df = dbt.ref("stg_orders") - - df = orders_df.to_pandas_on_spark() # Spark 3.2+ - # df = orders_df.toPandas() in earlier versions - - # apply our function - df["is_holiday"] = df["order_date"].apply(is_holiday) - - # convert back to PySpark - df = df.to_spark() # Spark 3.2+ - # df = session.createDataFrame(df) in earlier versions - - # return final dataset (PySpark DataFrame) - return df -``` - - - -
- - - -#### Configuring packages - -We encourage you to explicitly configure required packages and versions so dbt can track them in project metadata. This configuration is required for the implementation on some platforms. If you need specific versions of packages, specify them. - - - -```python -def model(dbt, session): - dbt.config( - packages = ["numpy==1.23.1", "scikit-learn"] - ) -``` - - - - - -```yml -version: 2 - -models: - - name: my_python_model - config: - packages: - - "numpy==1.23.1" - - scikit-learn -``` - - - -#### UDFs - -You can use the `@udf` decorator or `udf` function to define an "anonymous" function and call it within your `model` function's DataFrame transformation. This is a typical pattern for applying more complex functions as DataFrame operations, especially if those functions require inputs from third-party packages. -- [Snowpark Python: Creating UDFs](https://docs.snowflake.com/en/developer-guide/snowpark/python/creating-udfs.html) -- [PySpark functions: udf](https://spark.apache.org/docs/latest/api/python/reference/pyspark.sql/api/pyspark.sql.functions.udf.html) - - - -
- - - -```python -import snowflake.snowpark.types as T -import snowflake.snowpark.functions as F -import numpy - -def register_udf_add_random(): - add_random = F.udf( - # use 'lambda' syntax, for simple functional behavior - lambda x: x + numpy.random.normal(), - return_type=T.FloatType(), - input_types=[T.FloatType()] - ) - return add_random - -def model(dbt, session): - - dbt.config( - materialized = "table", - packages = ["numpy"] - ) - - temps_df = dbt.ref("temperatures") - - add_random = register_udf_add_random() - - # warm things up, who knows by how much - df = temps_df.withColumn("degree_plus_random", add_random("degree")) - return df -``` - - - -**Note:** Due to a Snowpark limitation, it is not currently possible to register complex named UDFs within stored procedures, and therefore dbt Python models. We are looking to add native support for Python UDFs as a project/DAG resource type in a future release. For the time being, if you want to create a "vectorized" Python UDF via the Batch API, we recommend either: -- Writing [`create function`](https://docs.snowflake.com/en/developer-guide/udf/python/udf-python-batch.html) inside a SQL macro, to run as a hook or run-operation -- [Registering from a staged file](https://docs.snowflake.com/ko/developer-guide/snowpark/reference/python/_autosummary/snowflake.snowpark.udf.html#snowflake.snowpark.udf.UDFRegistration.register_from_file) within your Python model code - -
- -
- - - -```python -from pyspark.sql.types as T -import pyspark.sql.functions as F -import numpy - -# use a 'decorator' for more readable code -@F.udf(returnType=T.DoubleType()) -def add_random(x): - random_number = numpy.random.normal() - return x + random_number - -def model(dbt, session): - dbt.config( - materialized = "table", - packages = ["numpy"] - ) - - temps_df = dbt.ref("temperatures") - - # warm things up, who knows by how much - df = temps_df.withColumn("degree_plus_random", add_random("degree")) - return df -``` - - - -
- - - -#### Code reuse - -Currently, you cannot import or reuse Python functions defined in one dbt model, in other models. This is something we'd like dbt to support. There are two patterns we're considering: -1. Creating and registering **"named" UDFs**. This process is different across data platforms and has some performance limitations. (Snowpark does support ["vectorized" UDFs](https://docs.snowflake.com/en/developer-guide/udf/python/udf-python-batch.html): pandas-like functions that you can execute in parallel.) -2. Using **private Python packages**. In addition to importing reusable functions from public PyPI packages, many data platforms support uploading custom Python assets and registering them as packages. The upload process looks different across platforms, but your code’s actual `import` looks the same. - -:::note ❓ Our questions - -- Should dbt have a role in abstracting over UDFs? Should dbt support a new type of DAG node, `function`? Would the primary use case be code reuse across Python models or defining Python-language functions that can be called from SQL models? -- How can dbt help users when uploading or initializing private Python assets? Is this a new form of `dbt deps`? -- How can dbt support users who want to test custom functions? If defined as UDFs: "unit testing" in the database? If "pure" functions in packages: encourage adoption of `pytest`? - -💬 Discussion: ["Python models: package, artifact/object storage, and UDF management in dbt"](https://github.com/dbt-labs/dbt-core/discussions/5741) -::: - -### DataFrame API and syntax - -Over the past decade, most people writing data transformations in Python have adopted DataFrame as their common abstraction. dbt follows this convention by returning `ref()` and `source()` as DataFrames, and it expects all Python models to return a DataFrame. - -A DataFrame is a two-dimensional data structure (rows and columns). It supports convenient methods for transforming that data, creating new columns from calculations performed on existing columns. It also offers convenient ways for previewing data while developing locally or in a notebook. - -That's about where the agreement ends. There are numerous frameworks with their own syntaxes and APIs for DataFrames. The [pandas](https://pandas.pydata.org/docs/) library offered one of the original DataFrame APIs, and its syntax is the most common to learn for new data professionals. Most newer DataFrame APIs are compatible with pandas-style syntax, though few can offer perfect interoperability. This is true for Snowpark and PySpark, which have their own DataFrame APIs. - -When developing a Python model, you will find yourself asking these questions: - -**Why pandas?** It's the most common API for DataFrames. It makes it easy to explore sampled data and develop transformations locally. You can “promote” your code as-is into dbt models and run it in production for small datasets. - -**Why _not_ pandas?** Performance. pandas runs "single-node" transformations, which cannot benefit from the parallelism and distributed computing offered by modern data warehouses. This quickly becomes a problem as you operate on larger datasets. Some data platforms support optimizations for code written using pandas' DataFrame API, preventing the need for major refactors. For example, ["pandas on PySpark"](https://spark.apache.org/docs/latest/api/python/getting_started/quickstart_ps.html) offers support for 95% of pandas functionality, using the same API while still leveraging parallel processing. - -:::note ❓ Our questions -- When developing a new dbt Python model, should we recommend pandas-style syntax for rapid iteration and then refactor? -- Which open source libraries provide compelling abstractions across different data engines and vendor-specific APIs? -- Should dbt attempt to play a longer-term role in standardizing across them? - -💬 Discussion: ["Python models: the pandas problem (and a possible solution)"](https://github.com/dbt-labs/dbt-core/discussions/5738) -::: - -### Limitations - -Python models have capabilities that SQL models do not. They also have some drawbacks compared to SQL models: - -- **Time and cost.** Python models are slower to run than SQL models, and the cloud resources that run them can be more expensive. Running Python requires more general-purpose compute. That compute might sometimes live on a separate service or architecture from your SQL models. **However:** We believe that deploying Python models via dbt—with unified lineage, testing, and documentation—is, from a human standpoint, **dramatically** faster and cheaper. By comparison, spinning up separate infrastructure to orchestrate Python transformations in production and different tooling to integrate with dbt is much more time-consuming and expensive. -- **Syntax differences** are even more pronounced. Over the years, dbt has done a lot, via dispatch patterns and packages such as `dbt_utils`, to abstract over differences in SQL dialects across popular data warehouses. Python offers a **much** wider field of play. If there are five ways to do something in SQL, there are 500 ways to write it in Python, all with varying performance and adherence to standards. Those options can be overwhelming. As the maintainers of dbt, we will be learning from state-of-the-art projects tackling this problem and sharing guidance as we develop it. -- **These capabilities are very new.** As data warehouses develop new features, we expect them to offer cheaper, faster, and more intuitive mechanisms for deploying Python transformations. **We reserve the right to change the underlying implementation for executing Python models in future releases.** Our commitment to you is around the code in your model `.py` files, following the documented capabilities and guidance we're providing here. - -As a general rule, if there's a transformation you could write equally well in SQL or Python, we believe that well-written SQL is preferable: it's more accessible to a greater number of colleagues, and it's easier to write code that's performant at scale. If there's a transformation you _can't_ write in SQL, or where ten lines of elegant and well-annotated Python could save you 1000 lines of hard-to-read Jinja-SQL, Python is the way to go. - -## Specific data platforms - -In their initial launch, Python models are supported on three of the most popular data platforms: Snowflake, Databricks, and BigQuery/GCP (via Dataproc). Both Databricks and GCP's Dataproc use PySpark as the processing framework. Snowflake uses its own framework, Snowpark, which has many similarities to PySpark. - - - -
- -**Additional setup:** You will need to [acknowledge and accept Snowflake Third Party Terms](https://docs.snowflake.com/en/developer-guide/udf/python/udf-python-packages.html#getting-started) to use Anaconda packages. - -**Installing packages:** Snowpark supports several popular packages via Anaconda. The complete list is at https://repo.anaconda.com/pkgs/snowflake/. Packages are installed at the time your model is being run. Different models can have different package dependencies. If you are using third-party packages, Snowflake recommends using a dedicated virtual warehouse for best performance rather than one with many concurrent users. - -**About "sprocs":** dbt submits Python models to run as "stored procedures," which some people call "sprocs" for short. By default, dbt will create a named sproc containing your model's compiled Python code, and then "call" it to execute. Snowpark has a Private Preview feature for "temporary" or "anonymous" stored procedures ([docs](https://docs.snowflake.com/en/LIMITEDACCESS/call-with.html)), which are faster and leave a cleaner query history. If this feature is enabled for your account, you can switch it on for your models by configuring `use_anonymous_sproc: True`. We plan to switch this on for all dbt + Snowpark Python models in a future release. - - - -```yml -# I asked Snowflake Support to enable this Private Preview feature, -# and now my dbt-py models run even faster! -models: - use_anonymous_sproc: True -``` - - - -**Docs:** ["Developer Guide: Snowpark Python"](https://docs.snowflake.com/en/developer-guide/snowpark/python/index.html) - -
- -
- -**Submission methods:** Databricks supports a few different mechanisms to submit PySpark code, each with relative advantages. Some are better for supporting iterative development, while others are better for supporting lower-cost production deployments. The options are: -- `all_purpose_cluster` (default): dbt will run your Python model using the cluster ID configured as `cluster` in your connection profile or for this specific model. These clusters are more expensive but also much more responsive. We recommend using an interactive all-purpose cluster for quicker iteration in development. - - `create_notebook: True`: dbt will upload your model's compiled PySpark code to a notebook in the namespace `/Shared/dbt_python_model/{schema}`, where `{schema}` is the configured schema for the model, and execute that notebook to run using the all-purpose cluster. The appeal of this approach is that you can easily open the notebook in the Databricks UI for debugging or fine-tuning right after running your model. Remember to copy any changes into your dbt `.py` model code before re-running. - - `create_notebook: False` (default): dbt will use the [Command API](https://docs.databricks.com/dev-tools/api/1.2/index.html#run-a-command), which is slightly faster. -- `job_cluster`: dbt will upload your model's compiled PySpark code to a notebook in the namespace `/Shared/dbt_python_model/{schema}`, where `{schema}` is the configured schema for the model, and execute that notebook to run using a short-lived jobs cluster. For each Python model, Databricks will need to spin up the cluster, execute the model's PySpark transformation, and then spin down the cluster. As such, job clusters take longer before and after model execution, but they're also less expensive, so we recommend these for longer-running Python models in production. To use the `job_cluster` submission method, your model must be configured with `job_cluster_config`, which defines key-value properties for `new_cluster`, as defined in the [JobRunsSubmit API](https://docs.databricks.com/dev-tools/api/latest/jobs.html#operation/JobsRunsSubmit). - -You can configure each model's `submission_method` in all the standard ways you supply configuration: - -```python -def model(dbt, session): - dbt.config( - submission_method="all_purpose_cluster", - create_notebook=True, - cluster_id="abcd-1234-wxyz" - ) - ... -``` -```yml -version: 2 -models: - - name: my_python_model - config: - submission_method: job_cluster - job_cluster_config: - spark_version: ... - node_type_id: ... -``` -```yml -# dbt_project.yml -models: - project_name: - subfolder: - # set defaults for all .py models defined in this subfolder - +submission_method: all_purpose_cluster - +create_notebook: False - +cluster_id: abcd-1234-wxyz -``` - -If not configured, `dbt-spark` will use the built-in defaults: the all-purpose cluster (based on `cluster` in your connection profile) without creating a notebook. The `dbt-databricks` adapter will default to the cluster configured in `http_path`. We encourage explicitly configuring the clusters for Python models in Databricks projects. - -**Installing packages:** When using all-purpose clusters, we recommend installing packages which you will be using to run your Python models. - -**Docs:** -- [PySpark DataFrame syntax](https://spark.apache.org/docs/latest/api/python/reference/pyspark.sql/api/pyspark.sql.DataFrame.html) -- [Databricks: Introduction to DataFrames - Python](https://docs.databricks.com/spark/latest/dataframes-datasets/introduction-to-dataframes-python.html) - -
- -
- -The `dbt-bigquery` adapter uses a service called Dataproc to submit your Python models as PySpark jobs. That Python/PySpark code will read from your tables and views in BigQuery, perform all computation in Dataproc, and write the final result back to BigQuery. - -**Submission methods.** Dataproc supports two submission methods: `serverless` and `cluster`. Dataproc Serverless does not require a ready cluster, which saves on hassle and cost—but it is slower to start up, and much more limited in terms of available configuration. For example, Dataproc Serverless supports only a small set of Python packages, though it does include `pandas`, `numpy`, and `scikit-learn`. (See the full list [here](https://cloud.google.com/dataproc-serverless/docs/guides/custom-containers#example_custom_container_image_build), under "The following packages are installed in the default image"). Whereas, by creating a Dataproc Cluster in advance, you can fine-tune the cluster's configuration, install any PyPI packages you want, and benefit from faster, more responsive runtimes. - -Use the `cluster` submission method with dedicated Dataproc clusters you or your organization manage. Use the `serverless` submission method to avoid managing a Spark cluster. The latter may be quicker for getting started, but both are valid for production. - -**Additional setup:** -- Create or use an existing [Cloud Storage bucket](https://cloud.google.com/storage/docs/creating-buckets) -- Enable Dataproc APIs for your project + region -- If using the `cluster` submission method: Create or use an existing [Dataproc cluster](https://cloud.google.com/dataproc/docs/guides/create-cluster) with the [Spark BigQuery connector initialization action](https://github.com/GoogleCloudDataproc/initialization-actions/tree/master/connectors#bigquery-connectors). (Google recommends copying the action into your own Cloud Storage bucket, rather than using the example version shown in the screenshot below.) - - - -The following configurations are needed to run Python models on Dataproc. You can add these to your [BigQuery profile](/reference/warehouse-setups/bigquery-setup#running-python-models-on-dataproc), or configure them on specific Python models: -- `gcs_bucket`: Storage bucket to which dbt will upload your model's compiled PySpark code. -- `dataproc_region`: GCP region in which you have enabled Dataproc (for example `us-central1`) -- `dataproc_cluster_name`: Name of Dataproc cluster to use for running Python model (executing PySpark job). Only required if `submission_method: cluster`. - -```python -def model(dbt, session): - dbt.config( - submission_method="cluster", - dataproc_cluster_name="my-favorite-cluster" - ) - ... -``` -```yml -version: 2 -models: - - name: my_python_model - config: - submission_method: serverless -``` - -Any user or service account that runs dbt Python models will need the following permissions, in addition to permissions needed for BigQuery ([docs](https://cloud.google.com/dataproc/docs/concepts/iam/iam)): -``` -dataproc.clusters.use -dataproc.jobs.create -dataproc.jobs.get -dataproc.operations.get -storage.buckets.get -storage.objects.create -storage.objects.delete -``` - -**Installing packages:** If you are using a Dataproc Cluster (as opposed to Dataproc Serverless), you can add third-party packages while creating the cluster. - -Google recommends installing Python packages on Dataproc clusters via initialization actions: -- [How initialization actions are used](https://github.com/GoogleCloudDataproc/initialization-actions/blob/master/README.md#how-initialization-actions-are-used) -- [Actions for installing via `pip` or `conda`](https://github.com/GoogleCloudDataproc/initialization-actions/tree/master/python) - -You can also install packages at cluster creation time by [defining cluster properties](https://cloud.google.com/dataproc/docs/tutorials/python-configuration#image_version_20): `dataproc:pip.packages` or `dataproc:conda.packages`. - - - -**Docs:** -- [Dataproc overview](https://cloud.google.com/dataproc/docs/concepts/overview) -- [PySpark DataFrame syntax](https://spark.apache.org/docs/latest/api/python/reference/pyspark.sql/api/pyspark.sql.DataFrame.html) - -
- - - - From 84fe4a912b637903181ccc22464969e7281c5c9a Mon Sep 17 00:00:00 2001 From: Ly Nguyen <107218380+nghi-ly@users.noreply.github.com> Date: Thu, 31 Aug 2023 15:12:18 -0700 Subject: [PATCH 251/486] Update website/docs/docs/dbt-versions/release-notes/05-Aug-2023/deprecation-endpoints-discovery.md follow convention for sidebar label --- .../05-Aug-2023/deprecation-endpoints-discovery.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/dbt-versions/release-notes/05-Aug-2023/deprecation-endpoints-discovery.md b/website/docs/docs/dbt-versions/release-notes/05-Aug-2023/deprecation-endpoints-discovery.md index 540d6d21b18..d53f892a1ba 100644 --- a/website/docs/docs/dbt-versions/release-notes/05-Aug-2023/deprecation-endpoints-discovery.md +++ b/website/docs/docs/dbt-versions/release-notes/05-Aug-2023/deprecation-endpoints-discovery.md @@ -1,5 +1,5 @@ --- -title: "Query patterns and endpoints in the dbt Cloud Discovery API" +title: "Deprecation: Query patterns and endpoints in the dbt Cloud Discovery API" description: "August 2023: Learn about the upcoming deprecation of certain endpoints and query patterns in the Discovery API." sidebar_position: 6 sidebar_label: "Deprecation: Certain Dicovery API endpoints and query patterns" From 64c55cb7fda06dc5fbfbf229f6e9679d6bdf6eea Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Fri, 1 Sep 2023 11:48:00 +0100 Subject: [PATCH 252/486] Update deprecation-endpoints-discovery.md fix typo --- .../05-Aug-2023/deprecation-endpoints-discovery.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/website/docs/docs/dbt-versions/release-notes/05-Aug-2023/deprecation-endpoints-discovery.md b/website/docs/docs/dbt-versions/release-notes/05-Aug-2023/deprecation-endpoints-discovery.md index d53f892a1ba..cd088b92fab 100644 --- a/website/docs/docs/dbt-versions/release-notes/05-Aug-2023/deprecation-endpoints-discovery.md +++ b/website/docs/docs/dbt-versions/release-notes/05-Aug-2023/deprecation-endpoints-discovery.md @@ -2,7 +2,7 @@ title: "Deprecation: Query patterns and endpoints in the dbt Cloud Discovery API" description: "August 2023: Learn about the upcoming deprecation of certain endpoints and query patterns in the Discovery API." sidebar_position: 6 -sidebar_label: "Deprecation: Certain Dicovery API endpoints and query patterns" +sidebar_label: "Deprecation: Certain Discovery API endpoints and query patterns" tags: [Aug-2023, API] date: 2023-08-31 --- @@ -77,7 +77,7 @@ query ($environmentId: BigInt!, $uniqueId: String) { ## Environment and account queries -Environment and account queries that use `Int` as a data type for ID has been deprecated. IDs must now be in `BigInt`. This change is in effect and has been since August 15, 2023. +Environment and account queries that use `Int` as a data type for ID have been deprecated. IDs must now be in `BigInt`. This change is in effect and has been since August 15, 2023. Example of query before deprecation: From f45ed3b56bede368ccd7a7ed15f23f21b4e9fc8d Mon Sep 17 00:00:00 2001 From: Boris Sorochkin Date: Fri, 1 Sep 2023 15:48:21 +0300 Subject: [PATCH 253/486] UPSOLVER: Documentation for features in v1.5.27 of dbt-upsolver --- .../resource-configs/upsolver-configs.md | 205 +++++++++++------- 1 file changed, 128 insertions(+), 77 deletions(-) diff --git a/website/docs/reference/resource-configs/upsolver-configs.md b/website/docs/reference/resource-configs/upsolver-configs.md index c50e49e877f..b917ee2cc58 100644 --- a/website/docs/reference/resource-configs/upsolver-configs.md +++ b/website/docs/reference/resource-configs/upsolver-configs.md @@ -4,9 +4,9 @@ id: "upsolver-configs" description: "Upsolver Configurations - Read this in-depth guide to learn about configurations in dbt." --- -## Supported Upsolver SQLake functionality: +## Supported Upsolver SQLake functionality -| Command | State | Materialized | +| COMMAND | STATE | MATERIALIZED | | ------ | ------ | ------ | | SQL compute cluster| not supported | - | | SQL connections| supported | connection | @@ -14,7 +14,7 @@ description: "Upsolver Configurations - Read this in-depth guide to learn about | SQL merge job | supported | incremental | | SQL insert job | supported | incremental | | SQL materialized views | supported | materializedview | - +| Expectations | supported | incremental | ## Configs materialization @@ -24,10 +24,12 @@ description: "Upsolver Configurations - Read this in-depth guide to learn about | connection_options | Yes | connection | Dictionary of options supported by selected connection | connection_options={ 'aws_role': 'aws_role', 'external_id': 'SAMPLES', 'read_only': True } | | incremental_strategy | No | incremental | Define one of incremental strategies: merge/copy/insert. Default: copy | incremental_strategy='merge' | | source | No | incremental | Define source to copy from: S3/KAFKA/KINESIS | source = 'S3' | -| target_type | No | incremental | Define supported target to copy into. Default: copy into a table created in a metastore connection | target_type='Snowflake' | -| target_schema | Yes/No | incremental | Define target schema. Required if target_type not table created in a metastore connection | target_schema = 'your_schema' | -| target_connection | Yes/No | incremental | Define target connection. Required if target_type not table created in a metastore connection | target_connection = 'your_snowflake_connection' | -| target_table_alias | Yes/No | incremental | Define target table. Required if target_type not table created in a metastore connection | target_table_alias = 'target_table' | +| target_type | No | incremental | Define target type REDSHIFT/ELASTICSEARCH/S3/SNOWFLAKE/POSTGRES. Default None for Data lake | target_type='Snowflake' | +| target_prefix | False | incremental | Define PREFIX for ELASTICSEARCH target type | target_prefix = 'orders' | +| target_location | False | incremental | Define LOCATION for S3 target type | target_location = 's3://your-bucket-name/path/to/folder/' | +| schema | Yes/No | incremental | Define target schema. Required if target_type, no table created in a metastore connection | schema = 'target_schema' | +| database | Yes/No | incremental | Define target connection. Required if target_type, no table created in a metastore connection | database = 'target_connection' | +| alias | Yes/No | incremental | Define target table. Required if target_type, no table created in a metastore connection | alias = 'target_table' | | delete_condition | No | incremental | Records that match the ON condition and a delete condition can be deleted | delete_condition='nettotal > 1000' | | partition_by | No | incremental | List of dictionaries to define partition_by for target metastore table | partition_by=[{'field':'$field_name'}] | | primary_key | No | incremental | List of dictionaries to define partition_by for target metastore table | primary_key=[{'field':'customer_email', 'type':'string'}] | @@ -35,8 +37,7 @@ description: "Upsolver Configurations - Read this in-depth guide to learn about | sync | No | incremental/materializedview | Boolean option to define if job is synchronized or non-msynchronized. Default: False | sync=True | | options | No | incremental/materializedview | Dictionary of job options | options={ 'START_FROM': 'BEGINNING', 'ADD_MISSING_COLUMNS': True } | - -## SQL connection options +## SQL connection Connections are used to provide Upsolver with the proper credentials to bring your data into SQLake as well as to write out your transformed data to various services. More details on ["Upsolver SQL connections"](https://docs.upsolver.com/sqlake/sql-command-reference/sql-connections) As a dbt model connection is a model with materialized='connection' @@ -52,26 +53,26 @@ As a dbt model connection is a model with materialized='connection' Running this model will compile CREATE CONNECTION(or ALTER CONNECTION if exists) SQL and send it to Upsolver engine. Name of the connection will be name of the model. - ## SQL copy job A COPY FROM job allows you to copy your data from a given source into a table created in a metastore connection. This table then serves as your staging table and can be used with SQLake transformation jobs to write to various target locations. More details on ["Upsolver SQL copy-from"](https://docs.upsolver.com/sqlake/sql-command-reference/sql-jobs/create-job/copy-from) As a dbt model copy job is model with materialized='incremental' + ```sql {{ config( materialized='incremental', sync=True|False, source = 'S3'| 'KAFKA' | ... , - options={ - 'option_name': 'option_value' + options={ + 'option_name': 'option_value' }, - partition_by=[{}] - ) + partition_by=[{}] + ) }} SELECT * FROM {{ ref() }} ``` -Running this model will compile CREATE TABLE SQL(or ALTER TABLE if exists) and CREATE COPY JOB(or ALTER COPY JOB if exists) SQL and send it to Upsolver engine. Name of the table will be name of the model. Name of the job will be the name of the model plus '_job' +Running this model will compile CREATE TABLE SQL for target type Data lake (or ALTER TABLE if exists) and CREATE COPY JOB(or ALTER COPY JOB if exists) SQL and send it to Upsolver engine. Name of the table will be name of the model. Name of the job will be name of the model plus '_job' ## SQL insert job @@ -85,7 +86,7 @@ As a dbt model insert job is model with materialized='incremental' and increment map_columns_by_name=True|False, incremental_strategy='insert', options={ - 'option_name': 'option_value' + 'option_name': 'option_value' }, primary_key=[{}] ) @@ -97,8 +98,7 @@ GROUP BY ... HAVING COUNT(DISTINCT orderid::string) ... ``` -Running this model will compile CREATE TABLE SQL(or ALTER TABLE if exists) and CREATE INSERT JOB(or ALTER INSERT JOB if exists) SQL and send it to Upsolver engine. Name of the table will be name of the model. Name of the job will be the name of the model plus '_job' - +Running this model will compile CREATE TABLE SQL for target type Data lake(or ALTER TABLE if exists) and CREATE INSERT JOB(or ALTER INSERT JOB if exists) SQL and send it to Upsolver engine. Name of the table will be name of the model. Name of the job will be name of the model plus '_job' ## SQL merge job @@ -112,7 +112,7 @@ As a dbt model merge job is model with materialized='incremental' and incrementa map_columns_by_name=True|False, incremental_strategy='merge', options={ - 'option_name': 'option_value' + 'option_name': 'option_value' }, primary_key=[{}] ) @@ -124,14 +124,14 @@ GROUP BY ... HAVING COUNT ... ``` -Running this model will compile CREATE TABLE SQL(or ALTER TABLE if exists) and CREATE MERGE JOB(or ALTER MERGE JOB if exists) SQL and send it to Upsolver engine. Name of the table will be name of the model. Name of the job will be the name of the model plus '_job' +Running this model will compile CREATE TABLE SQL for target type Data lake(or ALTER TABLE if exists) and CREATE MERGE JOB(or ALTER MERGE JOB if exists) SQL and send it to Upsolver engine. Name of the table will be name of the model. Name of the job will be name of the model plus '_job' ## SQL materialized views When transforming your data, you may find that you need data from multiple source tables in order to achieve your desired result. In such a case, you can create a materialized view from one SQLake table in order to join it with your other table (which in this case is considered the main table). More details on ["Upsolver SQL materialized views"](https://docs.upsolver.com/sqlake/sql-command-reference/sql-jobs/create-job/sql-transformation-jobs/sql-materialized-views). -As a dbt model materialized views are models with materialized='materializedview'. +As a dbt model materialized views is model with materialized='materializedview'. ```sql {{ config( materialized='materializedview', @@ -145,9 +145,9 @@ WHERE ... GROUP BY ... ``` -Running this model will compile CREATE MATERIALIZED VIEW SQL(or ALTER MATERIALIZED VIEW if exists) and send it to Upsolver engine. Name of the materializedview will be the name of the model. +Running this model will compile CREATE MATERIALIZED VIEW SQL(or ALTER MATERIALIZED VIEW if exists) and send it to Upsolver engine. Name of the materializedview will be name of the model. -## Expectations and constraints +## Expectations/constraints Data quality conditions can be added to your job to drop a row or trigger a warning when a column violates a predefined condition. @@ -169,7 +169,7 @@ models: # model-level constraints constraints: - type: check - columns: [`''`, `''`] + columns: ['', ''] expression: "column1 <= column2" name: - type: not_null @@ -190,7 +190,7 @@ models: ## Projects examples -> Refer to the projects examples link: [github.com/dbt-upsolver/examples/](https://github.com/Upsolver/dbt-upsolver/tree/main/examples) +> projects examples link: [github.com/dbt-upsolver/examples/](https://github.com/Upsolver/dbt-upsolver/tree/main/examples) ## Connection options @@ -199,12 +199,12 @@ models: | aws_role | s3 | True | True | 'aws_role': `''` | | external_id | s3 | True | True | 'external_id': `''` | | aws_access_key_id | s3 | True | True | 'aws_access_key_id': `''` | -| aws_secret_access_key_id | s3 | True | True | 'aws_secret_access_key_id': `''` | +| aws_secret_access_key | s3 | True | True | 'aws_secret_access_key_id': `''` | | path_display_filter | s3 | True | True | 'path_display_filter': `''` | | path_display_filters | s3 | True | True | 'path_display_filters': (`''`, ...) | | read_only | s3 | True | True | 'read_only': True/False | | encryption_kms_key | s3 | True | True | 'encryption_kms_key': `''` | -| encryption_customer_kms_key | s3 | True | True | 'encryption_customer_kms_key': `''` | +| encryption_customer_managed_key | s3 | True | True | 'encryption_customer_kms_key': `''` | | comment | s3 | True | True | 'comment': `''` | | host | kafka | False | False | 'host': `''` | | hosts | kafka | False | False | 'hosts': (`''`, ...) | @@ -231,19 +231,19 @@ models: | aws_secret_access_key | kinesis | True | True | 'aws_secret_access_key': `''` | | region | kinesis | False | False | 'region': `''` | | read_only | kinesis | False | True | 'read_only': True/False | -| max_writers | kinesis | True | True | 'max_writers': `''` | +| max_writers | kinesis | True | True | 'max_writers': `` | | stream_display_filter | kinesis | True | True | 'stream_display_filter': `''` | | stream_display_filters | kinesis | True | True | 'stream_display_filters': (`''`, ...) | | comment | kinesis | True | True | 'comment': `''` | | connection_string | snowflake | True | False | 'connection_string': `''` | | user_name | snowflake | True | False | 'user_name': `''` | | password | snowflake | True | False | 'password': `''` | -| max_concurrent_connections | snowflake | True | True | 'max_concurrent_connections': `''` | +| max_concurrent_connections | snowflake | True | True | 'max_concurrent_connections': `` | | comment | snowflake | True | True | 'comment': `''` | | connection_string | redshift | True | False | 'connection_string': `''` | | user_name | redshift | True | False | 'user_name': `''` | | password | redshift | True | False | 'password': `''` | -| max_concurrent_connections | redshift | True | True | 'max_concurrent_connections': `''` | +| max_concurrent_connections | redshift | True | True | 'max_concurrent_connections': `` | | comment | redshift | True | True | 'comment': `''` | | connection_string | mysql | True | False | 'connection_string': `''` | | user_name | mysql | True | False | 'user_name': `''` | @@ -257,7 +257,15 @@ models: | user_name | elasticsearch | True | False | 'user_name': `''` | | password | elasticsearch | True | False | 'password': `''` | | comment | elasticsearch | True | True | 'comment': `''` | - +| connection_string | mongodb | True | False | 'connection_string': `''` | +| user_name | mongodb | True | False | 'user_name': `''` | +| password | mongodb | True | False | 'password': `''` | +| timeout | mongodb | True | True | 'timeout': "INTERVAL 'N' SECONDS" | +| comment | mongodb | True | True | 'comment': `''` | +| connection_string | mssql | True | False | 'connection_string': `''` | +| user_name | mssql | True | False | 'user_name': `''` | +| password | mssql | True | False | 'password': `''` | +| comment | mssql | True | True | 'comment': `''` | ## Target options @@ -268,7 +276,7 @@ models: | storage_location | datalake | False | True | 'storage_location': `''` | | compute_cluster | datalake | True | True | 'compute_cluster': `''` | | compression | datalake | True | True | 'compression': 'SNAPPY/GZIP' | -| compaction_processes | datalake | True | True | 'compaction_processes': `''` | +| compaction_processes | datalake | True | True | 'compaction_processes': `` | | disable_compaction | datalake | True | True | 'disable_compaction': True/False | | retention_date_partition | datalake | False | True | 'retention_date_partition': `''` | | table_data_retention | datalake | True | True | 'table_data_retention': `''` | @@ -284,32 +292,33 @@ models: | create_table_if_missing | snowflake | False | True | 'create_table_if_missing': True/False} | | run_interval | snowflake | False | True | 'run_interval': `''` | - ## Transformation options | Option | Storage | Editable | Optional | Config Syntax | | -------| --------- | -------- | -------- | ------------- | | run_interval | s3 | False | True | 'run_interval': `''` | -| start_from | s3 | False | True | 'start_from': `''` | -| end_at | s3 | True | True | 'end_at': `''` | +| start_from | s3 | False | True | 'start_from': `'/NOW/BEGINNING'` | +| end_at | s3 | True | True | 'end_at': `'/NOW'` | | compute_cluster | s3 | True | True | 'compute_cluster': `''` | | comment | s3 | True | True | 'comment': `''` | -| allow_cartesian_products | s3 | False | True | 'allow_cartesian_products': True/False | -| aggregation_parallelism | s3 | True | True | 'aggregation_parallelism': `''` | -| run_parallelism | s3 | True | True | 'run_parallelism': `''` | -| file_format | s3 | False | False | 'file_format': 'CSV/TSV ...' | +| skip_validations | s3 | False | True | 'skip_validations': ('ALLOW_CARTESIAN_PRODUCT', ...) | +| skip_all_validations | s3 | False | True | 'skip_all_validations': True/False | +| aggregation_parallelism | s3 | True | True | 'aggregation_parallelism': `` | +| run_parallelism | s3 | True | True | 'run_parallelism': `` | +| file_format | s3 | False | False | 'file_format': '(type = ``)' | | compression | s3 | False | True | 'compression': 'SNAPPY/GZIP ...' | | date_pattern | s3 | False | True | 'date_pattern': `''` | | output_offset | s3 | False | True | 'output_offset': `''` | -| location | s3 | False | False | 'location': `''` | | run_interval | elasticsearch | False | True | 'run_interval': `''` | -| start_from | elasticsearch | False | True | 'start_from': `''` | -| end_at | elasticsearch | True | True | 'end_at': `''` | +| routing_field_name | elasticsearch | True | True | 'routing_field_name': `''` | +| start_from | elasticsearch | False | True | 'start_from': `'/NOW/BEGINNING'` | +| end_at | elasticsearch | True | True | 'end_at': `'/NOW'` | | compute_cluster | elasticsearch | True | True | 'compute_cluster': `''` | -| allow_cartesian_products | elasticsearch | False | True | 'allow_cartesian_products': True/False | -| aggregation_parallelism | elasticsearch | True | True | 'aggregation_parallelism': `''` | -| run_parallelism | elasticsearch | True | True | 'run_parallelism': `''` | -| bulk_max_size_bytes | elasticsearch | True | True | 'bulk_max_size_bytes': `''` | +| skip_validations | elasticsearch | False | True | 'skip_validations': ('ALLOW_CARTESIAN_PRODUCT', ...) | +| skip_all_validations | elasticsearch | False | True | 'skip_all_validations': True/False | +| aggregation_parallelism | elasticsearch | True | True | 'aggregation_parallelism': `` | +| run_parallelism | elasticsearch | True | True | 'run_parallelism': `` | +| bulk_max_size_bytes | elasticsearch | True | True | 'bulk_max_size_bytes': `` | | index_partition_size | elasticsearch | True | True | 'index_partition_size': 'HOURLY/DAILY ...' | | comment | elasticsearch | True | True | 'comment': `''` | | custom_insert_expressions | snowflake | True | True | 'custom_insert_expressions': {'INSERT_TIME' : 'CURRENT_TIMESTAMP()','MY_VALUE': `''`} | @@ -317,70 +326,88 @@ models: | keep_existing_values_when_null | snowflake | True | True | 'keep_existing_values_when_null': True/False | | add_missing_columns | snowflake | False | True | 'add_missing_columns': True/False | | run_interval | snowflake | False | True | 'run_interval': `''` | -| start_from | snowflake | False | True | 'start_from': `''` | -| end_at | snowflake | True | True | 'end_at': `''` | +| commit_interval | snowflake | True | True | 'commit_interval': `''` | +| start_from | snowflake | False | True | 'start_from': `'/NOW/BEGINNING'` | +| end_at | snowflake | True | True | 'end_at': `'/NOW'` | | compute_cluster | snowflake | True | True | 'compute_cluster': `''` | -| allow_cartesian_products | snowflake | False | True | 'allow_cartesian_products': True/False | -| aggregation_parallelism | snowflake | True | True | 'aggregation_parallelism': `''` | -| run_parallelism | snowflake | True | True | 'run_parallelism': `''` | +| skip_validations | snowflake | False | True | 'skip_validations': ('ALLOW_CARTESIAN_PRODUCT', ...) | +| skip_all_validations | snowflake | False | True | 'skip_all_validations': True/False | +| aggregation_parallelism | snowflake | True | True | 'aggregation_parallelism': `` | +| run_parallelism | snowflake | True | True | 'run_parallelism': `` | | comment | snowflake | True | True | 'comment': `''` | | add_missing_columns | datalake | False | True | 'add_missing_columns': True/False | | run_interval | datalake | False | True | 'run_interval': `''` | -| start_from | datalake | False | True | 'start_from': `''` | -| end_at | datalake | True | True | 'end_at': `'' | +| start_from | datalake | False | True | 'start_from': `'/NOW/BEGINNING'` | +| end_at | datalake | True | True | 'end_at': `'/NOW'` | | compute_cluster | datalake | True | True | 'compute_cluster': `''` | -| allow_cartesian_products | datalake | False | True | 'allow_cartesian_products': True/False | -| aggregation_parallelism | datalake | True | True | 'aggregation_parallelism': `''` | -| run_parallelism | datalake | True | True | 'run_parallelism': `''` | +| skip_validations | datalake | False | True | 'skip_validations': ('ALLOW_CARTESIAN_PRODUCT', ...) | +| skip_all_validations | datalake | False | True | 'skip_all_validations': True/False | +| aggregation_parallelism | datalake | True | True | 'aggregation_parallelism': `` | +| run_parallelism | datalake | True | True | 'run_parallelism': `` | | comment | datalake | True | True | 'comment': `''` | | run_interval | redshift | False | True | 'run_interval': `''` | -| start_from | redshift | False | True | 'start_from': `''` | -| end_at | redshift | True | True | 'end_at': `'` | +| start_from | redshift | False | True | 'start_from': `'/NOW/BEGINNING'` | +| end_at | redshift | True | True | 'end_at': `'/NOW'` | | compute_cluster | redshift | True | True | 'compute_cluster': `''` | -| allow_cartesian_products | redshift | False | True | 'allow_cartesian_products': True/False | -| aggregation_parallelism | redshift | True | True | 'aggregation_parallelism': `''` | -| run_parallelism | redshift | True | True | 'run_parallelism': `''` | +| skip_validations | redshift | False | True | 'skip_validations': ('ALLOW_CARTESIAN_PRODUCT', ...) | +| skip_all_validations | redshift | False | True | 'skip_all_validations': True/False | +| aggregation_parallelism | redshift | True | True | 'aggregation_parallelism': `` | +| run_parallelism | redshift | True | True | 'run_parallelism': `` | | skip_failed_files | redshift | False | True | 'skip_failed_files': True/False | | fail_on_write_error | redshift | False | True | 'fail_on_write_error': True/False | | comment | redshift | True | True | 'comment': `''` | - +| run_interval | postgres | False | True | 'run_interval': `''` | +| start_from | postgres | False | True | 'start_from': `'/NOW/BEGINNING'` | +| end_at | postgres | True | True | 'end_at': `'/NOW'` | +| compute_cluster | postgres | True | True | 'compute_cluster': `''` | +| skip_validations | postgres | False | True | 'skip_validations': ('ALLOW_CARTESIAN_PRODUCT', ...) | +| skip_all_validations | postgres | False | True | 'skip_all_validations': True/False | +| aggregation_parallelism | postgres | True | True | 'aggregation_parallelism': `` | +| run_parallelism | postgres | True | True | 'run_parallelism': `` | +| comment | postgres | True | True | 'comment': `''` | ## Copy options | Option | Storage | Category | Editable | Optional | Config Syntax | | -------| ---------- | -------- | -------- | -------- | ------------- | -| topic | kafka | source_options | False | False | 'comment': `''` | +| topic | kafka | source_options | False | False | 'topic': `''` | | exclude_columns | kafka | job_options | False | True | 'exclude_columns': (`''`, ...) | | deduplicate_with | kafka | job_options | False | True | 'deduplicate_with': {'COLUMNS' : ['col1', 'col2'],'WINDOW': 'N HOURS'} | -| consumer_properties | kafka | job_options | True | True | 'comment': `''` | -| reader_shards | kafka | job_options | True | True | 'reader_shards': `''` | +| consumer_properties | kafka | job_options | True | True | 'consumer_properties': `''` | +| reader_shards | kafka | job_options | True | True | 'reader_shards': `` | | store_raw_data | kafka | job_options | False | True | 'store_raw_data': True/False | | start_from | kafka | job_options | False | True | 'start_from': 'BEGINNING/NOW' | -| end_at | kafka | job_options | True | True | 'end_at': `''` | +| end_at | kafka | job_options | True | True | 'end_at': `'/NOW'` | | compute_cluster | kafka | job_options | True | True | 'compute_cluster': `''` | -| run_parallelism | kafka | job_options | True | True | 'run_parallelism': `''` | +| run_parallelism | kafka | job_options | True | True | 'run_parallelism': `` | | content_type | kafka | job_options | True | True | 'content_type': 'AUTO/CSV/...' | | compression | kafka | job_options | False | True | 'compression': 'AUTO/GZIP/...' | +| column_transformations | kafka | job_options | False | True | 'column_transformations': {`''` : `''` , ...} | +| commit_interval | kafka | job_options | True | True | 'commit_interval': `''` | +| skip_validations | kafka | job_options | False | True | 'skip_validations': ('MISSING_TOPIC') | +| skip_all_validations | kafka | job_options | False | True | 'skip_all_validations': True/False | | comment | kafka | job_options | True | True | 'comment': `''` | | table_include_list | mysql | source_options | True | True | 'table_include_list': (`''`, ...) | | column_exclude_list | mysql | source_options | True | True | 'column_exclude_list': (`''`, ...) | | exclude_columns | mysql | job_options | False | True | 'exclude_columns': (`''`, ...) | | column_transformations | mysql | job_options | False | True | 'column_transformations': {`''` : `''` , ...} | | skip_snapshots | mysql | job_options | True | True | 'skip_snapshots': True/False | -| end_at | mysql | job_options | True | True | 'end_at': `''` | +| end_at | mysql | job_options | True | True | 'end_at': `'/NOW'` | | compute_cluster | mysql | job_options | True | True | 'compute_cluster': `''` | +| snapshot_parallelism | mysql | job_options | True | True | 'snapshot_parallelism': `` | +| ddl_filters | mysql | job_options | False | True | 'ddl_filters': (`''`, ...) | | comment | mysql | job_options | True | True | 'comment': `''` | | table_include_list | postgres | source_options | False | False | 'table_include_list': (`''`, ...) | | column_exclude_list | postgres | source_options | False | True | 'column_exclude_list': (`''`, ...) | | heartbeat_table | postgres | job_options | False | True | 'heartbeat_table': `''` | | skip_snapshots | postgres | job_options | False | True | 'skip_snapshots': True/False | | publication_name | postgres | job_options | False | False | 'publication_name': `''` | -| end_at | postgres | job_options | True | True | 'end_at': `''` | -| start_from | postgres | job_options | False | True | 'start_from': `''` | +| end_at | postgres | job_options | True | True | 'end_at': `'/NOW'` | | compute_cluster | postgres | job_options | True | True | 'compute_cluster': `''` | | comment | postgres | job_options | True | True | 'comment': `''` | | parse_json_columns | postgres | job_options | False | False | 'parse_json_columns': True/False | | column_transformations | postgres | job_options | False | True | 'column_transformations': {`''` : `''` , ...} | +| snapshot_parallelism | postgres | job_options | True | True | 'snapshot_parallelism': `` | | exclude_columns | postgres | job_options | False | True | 'exclude_columns': (`''`, ...) | | location | s3 | source_options | False | False | 'location': `''` | | date_pattern | s3 | job_options | False | True | 'date_pattern': `''` | @@ -389,25 +416,49 @@ models: | initial_load_prefix | s3 | job_options | False | True | 'initial_load_prefix': `''` | | delete_files_after_load | s3 | job_options | False | True | 'delete_files_after_load': True/False | | deduplicate_with | s3 | job_options | False | True | 'deduplicate_with': {'COLUMNS' : ['col1', 'col2'],'WINDOW': 'N HOURS'} | -| end_at | s3 | job_options | True | True | 'end_at': `''` | -| start_from | s3 | job_options | False | True | 'start_from': `''` | +| end_at | s3 | job_options | True | True | 'end_at': `'/NOW'` | +| start_from | s3 | job_options | False | True | 'start_from': `'/NOW/BEGINNING'` | | compute_cluster | s3 | job_options | True | True | 'compute_cluster': `''` | -| run_parallelism | s3 | job_options | True | True | 'run_parallelism': `''` | +| run_parallelism | s3 | job_options | True | True | 'run_parallelism': `` | | content_type | s3 | job_options | True | True | 'content_type': 'AUTO/CSV...' | | compression | s3 | job_options | False | True | 'compression': 'AUTO/GZIP...' | | comment | s3 | job_options | True | True | 'comment': `''` | | column_transformations | s3 | job_options | False | True | 'column_transformations': {`''` : `''` , ...} | +| commit_interval | s3 | job_options | True | True | 'commit_interval': `''` | +| skip_validations | s3 | job_options | False | True | 'skip_validations': ('EMPTY_PATH') | +| skip_all_validations | s3 | job_options | False | True | 'skip_all_validations': True/False | | exclude_columns | s3 | job_options | False | True | 'exclude_columns': (`''`, ...) | | stream | kinesis | source_options | False | False | 'stream': `''` | -| reader_shards | kinesis | job_options | True | True | 'reader_shards': `''` | +| reader_shards | kinesis | job_options | True | True | 'reader_shards': `` | | store_raw_data | kinesis | job_options | False | True | 'store_raw_data': True/False | -| start_from | kinesis | job_options | False | True | 'start_from': `''` | -| end_at | kinesis | job_options | False | True | 'end_at': `''` | +| start_from | kinesis | job_options | False | True | 'start_from': `'/NOW/BEGINNING'` | +| end_at | kinesis | job_options | False | True | 'end_at': `'/NOW'` | | compute_cluster | kinesis | job_options | True | True | 'compute_cluster': `''` | -| run_parallelism | kinesis | job_options | False | True | 'run_parallelism': `''` | +| run_parallelism | kinesis | job_options | False | True | 'run_parallelism': `` | | content_type | kinesis | job_options | True | True | 'content_type': 'AUTO/CSV...' | | compression | kinesis | job_options | False | True | 'compression': 'AUTO/GZIP...' | | comment | kinesis | job_options | True | True | 'comment': `''` | | column_transformations | kinesis | job_options | True | True | 'column_transformations': {`''` : `''` , ...} | | deduplicate_with | kinesis | job_options | False | True | 'deduplicate_with': {'COLUMNS' : ['col1', 'col2'],'WINDOW': 'N HOURS'} | +| commit_interval | kinesis | job_options | True | True | 'commit_interval': `''` | +| skip_validations | kinesis | job_options | False | True | 'skip_validations': ('MISSING_STREAM') | +| skip_all_validations | kinesis | job_options | False | True | 'skip_all_validations': True/False | | exclude_columns | kinesis | job_options | False | True | 'exclude_columns': (`''`, ...) | +| table_include_list | mssql | source_options | True | True | 'table_include_list': (`''`, ...) | +| column_exclude_list | mssql | source_options | True | True | 'column_exclude_list': (`''`, ...) | +| exclude_columns | mssql | job_options | False | True | 'exclude_columns': (`''`, ...) | +| column_transformations | mssql | job_options | False | True | 'column_transformations': {`''` : `''` , ...} | +| skip_snapshots | mssql | job_options | True | True | 'skip_snapshots': True/False | +| end_at | mssql | job_options | True | True | 'end_at': `'/NOW'` | +| compute_cluster | mssql | job_options | True | True | 'compute_cluster': `''` | +| snapshot_parallelism | mssql | job_options | True | True | 'snapshot_parallelism': `` | +| parse_json_columns | mssql | job_options | False | False | 'parse_json_columns': True/False | +| comment | mssql | job_options | True | True | 'comment': `''` | +| collection_include_list | mongodb | source_options | True | True | 'collection_include_list': (`''`, ...) | +| exclude_columns | mongodb | job_options | False | True | 'exclude_columns': (`''`, ...) | +| column_transformations | mongodb | job_options | False | True | 'column_transformations': {`''` : `''` , ...} | +| skip_snapshots | mongodb | job_options | True | True | 'skip_snapshots': True/False | +| end_at | mongodb | job_options | True | True | 'end_at': `'/NOW'` | +| compute_cluster | mongodb | job_options | True | True | 'compute_cluster': `''` | +| snapshot_parallelism | mongodb | job_options | True | True | 'snapshot_parallelism': `` | +| comment | mongodb | job_options | True | True | 'comment': `''` | From af4f431fef55c680d3e7d933dd30a292f944cbc5 Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Fri, 1 Sep 2023 13:53:45 +0100 Subject: [PATCH 254/486] remove $ --- .../docs/docs/cloud/cloud-cli-installation.md | 58 ++++++++++--------- 1 file changed, 30 insertions(+), 28 deletions(-) diff --git a/website/docs/docs/cloud/cloud-cli-installation.md b/website/docs/docs/cloud/cloud-cli-installation.md index 5af9b7a173a..b72a89bc702 100644 --- a/website/docs/docs/cloud/cloud-cli-installation.md +++ b/website/docs/docs/cloud/cloud-cli-installation.md @@ -6,7 +6,9 @@ description: "Instructions for installing and configuring dbt Cloud CLI" :::warning Alpha functionality -The following installation instructions are for the dbt Cloud CLI, currently in alpha. These instructions are not intended for general audiences at this time. +The following installation instructions are for the dbt Cloud CLI, currently in Alpha product lifecycle (actively in development and being tested). + +These instructions are not intended for general audiences at this time. ::: @@ -14,7 +16,7 @@ The following installation instructions are for the dbt Cloud CLI, currently in ### Install and update with Brew on MacOS (recommended) -1. Install the CLI: +1. Install the dbt Cloud CLI: ```bash brew tap dbt-labs/dbt-cli @@ -30,7 +32,7 @@ dbt --help ### Manually install (Windows and Linux) -1. Download the latest release for your platform from [Github](https://github.com/dbt-labs/dbt-cli/releases). +1. Download the latest release for your platform from [GitHub](https://github.com/dbt-labs/dbt-cli/releases). 2. Add the `dbt` executable to your path. 3. Move to a directory with a dbt project, and create a `dbt_cloud.yml` file containing your `project-id` from dbt Cloud. 4. Invoke `dbt --help` from your terminal to see a list of supported commands. @@ -41,54 +43,54 @@ Follow the same process in [Installing dbt Cloud CLI](#manually-install-windows- ## Setting up the CLI -The following instructions are for setting up the dbt Cloud CLI. The `$` aren't part of the command, they tell you that you need to input this command. For example, `$ dbt run` means you should type `dbt run` into your terminal. +The following instructions are for setting up the dbt Cloud CLI. 1. Ensure that you have created a project in [dbt Cloud](https://cloud.getdbt.com/). 2. Ensure that your personal [development credentials](https://cloud.getdbt.com/settings/profile/credentials) are set on the project. -3. Navigate to [your profile](https://cloud.getdbt.com/settings/profile) and enable the "beta features" flag under "Experimental Features." +3. Navigate to [your profile](https://cloud.getdbt.com/settings/profile) and enable the **Beta** flag under **Experimental Features.** -4. Create an environment variable with your [dbt cloud API key](https://cloud.getdbt.com/settings/profile#api-access): +4. Create an environment variable with your [dbt Cloud API key](https://cloud.getdbt.com/settings/profile#api-access): ```bash +vi ~/.zshrc - > $ vi ~/.zshrc - - ... - - # dbt Cloud CLI - export DBT_CLOUD_API_KEY="1234" - +# dbt Cloud CLI +export DBT_CLOUD_API_KEY="1234" # Replace "1234" with your API key ``` -5. Load the new environment variable. Note: you may need to reactivate your python virtual environment after sourcing your shell's dot file. Alternatively, restart your shell instead of sourcing the shell's dot file +5. Load the new environment variable. Note: You may need to reactivate your Python virtual environment after sourcing your shell's dot file. Alternatively, restart your shell instead of sourcing the shell's dot file ```bash - > $ source ~/.zshrc +source ~/.zshrc ``` 6. Navigate to a dbt project ```bash - > $ cd ~/dbt-projects/jaffle_shop +cd ~/dbt-projects/jaffle_shop ``` -7. Create a dbt_cloud.yml in the root project directory. The file is required to have a `project-id` field with a valid [project ID](#glossary). Enter the following three commands: +6. Create a `dbt_cloud.yml` in the root project directory. The file is required to have a `project-id` field with a valid [project ID](#glossary). Enter the following commands: ```bash -> $ pwd -/Users/user/dbt-projects/jaffle_shop +pwd # Input +/Users/user/dbt-projects/jaffle_shop # Output +``` -> $ echo "project-id: ''" > dbt_cloud.yml +```bash +echo "project-id: ''" > dbt_cloud.yml # Input +``` -> $ cat dbt_cloud.yml -project-id: '123456' +```bash +cat dbt_cloud.yml # Input +project-id: '123456' # Output ``` -You can find your project ID by selecting your project and clicking on **Develop** in the navigation bar. Your project ID is the number in the URL: https://cloud.getdbt.com/develop/26228/projects/`PROJECT_ID`. +You can find your project ID by selecting your project and clicking on **Develop** in the navigation bar. Your project ID is the number in the URL: https://cloud.getdbt.com/develop/26228/projects/PROJECT_ID. -If dbt_cloud.yml already exists, edit the file and verify the project ID field uses a valid project ID. +If `dbt_cloud.yml` already exists, edit the file, and verify the project ID field uses a valid project ID. #### Upgrade the CLI with Brew @@ -101,8 +103,8 @@ brew upgrade dbt-cloud-cli **Coming soon** -### Glossary +## Glossary -- **dbt cloud API key:** your API key found by navigating to the **gear icon**, clicking **Profile Settings**, and scrolling down to **API**. -- **Project ID:** the ID of the dbt project you're working with. Can be retrieved from the dbt cloud URL after a project has been selected, for example, `https://cloud.getdbt.com/deploy/{accountID}/projects/{projectID}` -- **Development credentials:** your personal warehouse credentials for the project you’re working with. They can be set by selecting the project and entering them in dbt Cloud. Navigate to the **gear icon**, click **Profile Settings**, and click **Credentials** from the left-side menu. +- **dbt cloud API key:** Your API key found by navigating to the **gear icon**, clicking **Profile Settings**, and scrolling down to **API**. +- **Project ID:** The ID of the dbt project you're working with. Can be retrieved from the dbt Cloud URL after a project has been selected, for example, `https://cloud.getdbt.com/deploy/{accountID}/projects/{projectID}` +- **Development credentials:** Your personal warehouse credentials for the project you’re working with. They can be set by selecting the project and entering them in dbt Cloud. Navigate to the **gear icon**, click **Profile Settings**, and click **Credentials** from the left-side menu. From 68f57c65ff5fee26df78f7c8fb04adde7935eacd Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Fri, 1 Sep 2023 13:57:49 +0100 Subject: [PATCH 255/486] Update website/docs/docs/cloud/cloud-cli-installation.md --- website/docs/docs/cloud/cloud-cli-installation.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/cloud-cli-installation.md b/website/docs/docs/cloud/cloud-cli-installation.md index b72a89bc702..3c7f30fc523 100644 --- a/website/docs/docs/cloud/cloud-cli-installation.md +++ b/website/docs/docs/cloud/cloud-cli-installation.md @@ -6,7 +6,7 @@ description: "Instructions for installing and configuring dbt Cloud CLI" :::warning Alpha functionality -The following installation instructions are for the dbt Cloud CLI, currently in Alpha product lifecycle (actively in development and being tested). +The following installation instructions are for the dbt Cloud CLI, currently in Alpha (actively in development and being tested). These instructions are not intended for general audiences at this time. From 21ec323b6266d4995ebe4c0295a6b95fc77a4a5b Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Fri, 1 Sep 2023 13:59:47 +0100 Subject: [PATCH 256/486] Update cloud-cli-installation.md --- website/docs/docs/cloud/cloud-cli-installation.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/cloud-cli-installation.md b/website/docs/docs/cloud/cloud-cli-installation.md index 3c7f30fc523..68a8ef365d6 100644 --- a/website/docs/docs/cloud/cloud-cli-installation.md +++ b/website/docs/docs/cloud/cloud-cli-installation.md @@ -72,7 +72,7 @@ source ~/.zshrc cd ~/dbt-projects/jaffle_shop ``` -6. Create a `dbt_cloud.yml` in the root project directory. The file is required to have a `project-id` field with a valid [project ID](#glossary). Enter the following commands: +7. Create a `dbt_cloud.yml` in the root project directory. The file is required to have a `project-id` field with a valid [project ID](#glossary). Enter the following commands: ```bash pwd # Input From ca0823036ec630d66acb04f8f791957867e0827a Mon Sep 17 00:00:00 2001 From: mehdi mouloudj Date: Fri, 1 Sep 2023 16:31:50 +0200 Subject: [PATCH 257/486] update dbt-glue documentation according to latest version 1.6.2 --- .../core/connect-data-platform/glue-setup.md | 826 +++++++++++++++++- 1 file changed, 802 insertions(+), 24 deletions(-) diff --git a/website/docs/docs/core/connect-data-platform/glue-setup.md b/website/docs/docs/core/connect-data-platform/glue-setup.md index e0fb9556853..99d40db5c7a 100644 --- a/website/docs/docs/core/connect-data-platform/glue-setup.md +++ b/website/docs/docs/core/connect-data-platform/glue-setup.md @@ -65,7 +65,6 @@ ETL. Read [this documentation](https://docs.aws.amazon.com/glue/latest/dg/glue-is-security.html) to configure these principals. - You will find bellow a least privileged policy to enjoy all features of **`dbt-glue`** adapter. Please to update variables between **`<>`**, here are explanations of these arguments: @@ -74,7 +73,7 @@ Please to update variables between **`<>`**, here are explanations of these argu |---|---| |region|The region where your Glue database is stored | |AWS Account|The AWS account where you run your pipeline| -|dbt output database|The database updated by dbt (this is the database configured in the profile.yml of your dbt environment)| +|dbt output database|The database updated by dbt (this is the schema configured in the profile.yml of your dbt environment)| |dbt source database|All databases used as source| |dbt output bucket|The bucket name where the data will be generated by dbt (the location configured in the profile.yml of your dbt environment)| |dbt source bucket|The bucket name of source databases (if they are not managed by Lake Formation)| @@ -113,9 +112,19 @@ Please to update variables between **`<>`**, here are explanations of these argu "glue:BatchDeleteTableVersion", "glue:BatchDeleteTable", "glue:DeletePartition", + "glue:GetUserDefinedFunctions", "lakeformation:ListResources", "lakeformation:BatchGrantPermissions", - "lakeformation:ListPermissions" + "lakeformation:ListPermissions", + "lakeformation:GetDataAccess", + "lakeformation:GrantPermissions", + "lakeformation:RevokePermissions", + "lakeformation:BatchRevokePermissions", + "lakeformation:AddLFTagsToResource", + "lakeformation:RemoveLFTagsFromResource", + "lakeformation:GetResourceLFTags", + "lakeformation:ListLFTags", + "lakeformation:GetLFTag", ], "Resource": [ "arn:aws:glue:::catalog", @@ -189,7 +198,7 @@ Please to update variables between **`<>`**, here are explanations of these argu ### Configuration of the local environment -Because **`dbt`** and **`dbt-glue`** adapter are compatible with Python versions 3.8, and 3.9, check the version of Python: +Because **`dbt`** and **`dbt-glue`** adapter are compatible with Python versions 3.7, 3.8, and 3.9, check the version of Python: ```bash $ python3 --version @@ -212,12 +221,17 @@ $ unzip awscliv2.zip $ sudo ./aws/install ``` -Configure the aws-glue-session package +Install boto3 package ```bash $ sudo yum install gcc krb5-devel.x86_64 python3-devel.x86_64 -y $ pip3 install —upgrade boto3 -$ pip3 install —upgrade aws-glue-sessions +``` + +Install the package: + +```bash +$ pip3 install dbt-glue ``` ### Example config @@ -232,7 +246,6 @@ workers: 2 worker_type: G.1X idle_timeout: 10 schema: "dbt_demo" -database: "dbt_demo" session_provisioning_timeout_in_seconds: 120 location: "s3://dbt_demo_bucket/dbt_demo_data" ``` @@ -241,24 +254,788 @@ location: "s3://dbt_demo_bucket/dbt_demo_data" The table below describes all the options. -|Option |Description | Mandatory | -|---|---|---| -|project_name |The dbt project name. This must be the same as the one configured in the dbt project. |yes| -|type |The driver to use. |yes| -|query-comment |A string to inject as a comment in each query that dbt runs. |no| -|role_arn |The ARN of the interactive session role created as part of the CloudFormation template. |yes| -|region |The AWS Region where you run the data pipeline. |yes| -|workers |The number of workers of a defined workerType that are allocated when a job runs. |yes| -|worker_type |The type of predefined worker that is allocated when a job runs. Accepts a value of Standard, G.1X, or G.2X. |yes| -|schema |The schema used to organize data stored in Amazon S3. |yes| -|database |The database in Lake Formation. The database stores metadata tables in the Data Catalog. |yes| -|session_provisioning_timeout_in_seconds |The timeout in seconds for AWS Glue interactive session provisioning. |yes| -|location |The Amazon S3 location of your target data. |yes| -|idle_timeout |The AWS Glue session idle timeout in minutes. (The session stops after being idle for the specified amount of time.) |no| -|glue_version |The version of AWS Glue for this session to use. Currently, the only valid options are 2.0 and 3.0. The default value is 2.0. |no| -|security_configuration |The security configuration to use with this session. |no| -|connections |A comma-separated list of connections to use in the session. |no| +| Option | Description | Mandatory | +|-----------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------| +| project_name | The dbt project name. This must be the same as the one configured in the dbt project. | yes | +| type | The driver to use. | yes | +| query-comment | A string to inject as a comment in each query that dbt runs. | no | +| role_arn | The ARN of the glue interactive session IAM role. | yes | +| region | The AWS Region were you run the data pipeline. | yes | +| workers | The number of workers of a defined workerType that are allocated when a job runs. | yes | +| worker_type | The type of predefined worker that is allocated when a job runs. Accepts a value of Standard, G.1X, or G.2X. | yes | +| schema | The schema used to organize data stored in Amazon S3.Additionally, is the database in AWS Lake Formation that stores metadata tables in the Data Catalog. | yes | +| session_provisioning_timeout_in_seconds | The timeout in seconds for AWS Glue interactive session provisioning. | yes | +| location | The Amazon S3 location of your target data. | yes | +| query_timeout_in_minutes | The timeout in minutes for a signle query. Default is 300 | no | +| idle_timeout | The AWS Glue session idle timeout in minutes. (The session stops after being idle for the specified amount of time) | no | +| glue_version | The version of AWS Glue for this session to use. Currently, the only valid options are 2.0 and 3.0. The default value is 3.0. | no | +| security_configuration | The security configuration to use with this session. | no | +| connections | A comma-separated list of connections to use in the session. | no | +| conf | Specific configuration used at the startup of the Glue Interactive Session (arg --conf) | no | +| extra_py_files | Extra python Libs that can be used by the interactive session. | no | +| delta_athena_prefix | A prefix used to create Athena compatible tables for Delta tables (if not specified, then no Athena compatible table will be created) | no | +| tags | The map of key value pairs (tags) belonging to the session. Ex: `KeyName1=Value1,KeyName2=Value2` | no | +| seed_format | By default `parquet`, can be Spark format compatible like `csv` or `json` | no | +| seed_mode | By default `overwrite`, the seed data will be overwritten, you can set it to `append` if you just want to add new data in your dataset | no | +| default_arguments | The map of key value pairs parameters belonging to the session. More information on [Job parameters used by AWS Glue](https://docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-etl-glue-arguments.html). Ex: `--enable-continuous-cloudwatch-log=true,--enable-continuous-log-filter=true` | no | +| glue_session_id | re-use the glue-session to run multiple dbt run commands: set a glue session id you need to use | no | +| glue_session_reuse | re-use the glue-session to run multiple dbt run commands: If set to true, the glue session will not be closed for re-use. If set to false, the session will be closed | no | +| datalake_formats | The ACID datalake format that you want to use if you are doing merge, can be `hudi`, `ìceberg` or `delta` |no| + +## Configs + +### Configuring tables + +When materializing a model as `table`, you may include several optional configs that are specific to the dbt-spark plugin, in addition to the standard [model configs](/reference/model-configs). + +| Option | Description | Required? | Example | +|---------|----------------------------------------------------|-------------------------|--------------------------| +| file_format | The file format to use when creating tables (`parquet`, `csv`, `json`, `text`, `jdbc` or `orc`). | Optional | `parquet`| +| partition_by | Partition the created table by the specified columns. A directory is created for each partition. | Optional | `date_day` | +| clustered_by | Each partition in the created table will be split into a fixed number of buckets by the specified columns. | Optional | `country_code` | +| buckets | The number of buckets to create while clustering | Required if `clustered_by` is specified | `8` | +| custom_location | By default, the adapter will store your data in the following path: `location path`/`schema`/`table`. If you don't want to follow that default behaviour, you can use this parameter to set your own custom location on S3 | No | `s3://mycustombucket/mycustompath` | +| hudi_options | When using file_format `hudi`, gives the ability to overwrite any of the default configuration options. | Optional | `{'hoodie.schema.on.read.enable': 'true'}` | +## Incremental models + +dbt seeks to offer useful and intuitive modeling abstractions by means of its built-in configurations and materializations. + +For that reason, the dbt-glue plugin leans heavily on the [`incremental_strategy` config](/docs/build/incremental-models). This config tells the incremental materialization how to build models in runs beyond their first. It can be set to one of three values: + - **`append`** (default): Insert new records without updating or overwriting any existing data. + - **`insert_overwrite`**: If `partition_by` is specified, overwrite partitions in the table with new data. If no `partition_by` is specified, overwrite the entire table with new data. + - **`merge`** (Apache Hudi and Apache Iceberg only): Match records based on a `unique_key`; update old records, insert new ones. (If no `unique_key` is specified, all new data is inserted, similar to `append`.) + +Each of these strategies has its pros and cons, which we'll discuss below. As with any model config, `incremental_strategy` may be specified in `dbt_project.yml` or within a model file's `config()` block. + +**Notes:** +The default strategy is **`insert_overwrite`** + +### The `append` strategy + +Following the `append` strategy, dbt will perform an `insert into` statement with all new data. The appeal of this strategy is that it is straightforward and functional across all platforms, file types, connection methods, and Apache Spark versions. However, this strategy _cannot_ update, overwrite, or delete existing data, so it is likely to insert duplicate records for many data sources. + +#### Source code +```sql +{{ config( + materialized='incremental', + incremental_strategy='append', +) }} + +-- All rows returned by this query will be appended to the existing table + +select * from {{ ref('events') }} +{% if is_incremental() %} + where event_ts > (select max(event_ts) from {{ this }}) +{% endif %} +``` +#### Run Code +```sql +create temporary view spark_incremental__dbt_tmp as + + select * from analytics.events + + where event_ts >= (select max(event_ts) from {{ this }}) + +; + +insert into table analytics.spark_incremental + select `date_day`, `users` from spark_incremental__dbt_tmp +``` + +### The `insert_overwrite` strategy + +This strategy is most effective when specified alongside a `partition_by` clause in your model config. dbt will run an [atomic `insert overwrite` statement](https://spark.apache.org/docs/latest/sql-ref-syntax-dml-insert-overwrite-table.html) that dynamically replaces all partitions included in your query. Be sure to re-select _all_ of the relevant data for a partition when using this incremental strategy. + +If no `partition_by` is specified, then the `insert_overwrite` strategy will atomically replace all contents of the table, overriding all existing data with only the new records. The column schema of the table remains the same, however. This can be desirable in some limited circumstances, since it minimizes downtime while the table contents are overwritten. The operation is comparable to running `truncate` + `insert` on other databases. For atomic replacement of Delta-formatted tables, use the `table` materialization (which runs `create or replace`) instead. + +#### Source Code +```sql +{{ config( + materialized='incremental', + partition_by=['date_day'], + file_format='parquet' +) }} + +/* + Every partition returned by this query will be overwritten + when this model runs +*/ + +with new_events as ( + + select * from {{ ref('events') }} + + {% if is_incremental() %} + where date_day >= date_add(current_date, -1) + {% endif %} + +) + +select + date_day, + count(*) as users + +from events +group by 1 +``` + +#### Run Code + +```sql +create temporary view spark_incremental__dbt_tmp as + + with new_events as ( + + select * from analytics.events + + + where date_day >= date_add(current_date, -1) + + + ) + + select + date_day, + count(*) as users + + from events + group by 1 + +; + +insert overwrite table analytics.spark_incremental + partition (date_day) + select `date_day`, `users` from spark_incremental__dbt_tmp +``` + +Specifying `insert_overwrite` as the incremental strategy is optional, since it's the default strategy used when none is specified. + +### The `merge` strategy + +**Compatibility:** +- Hudi : OK +- Delta Lake : OK +- Iceberg : OK +- Lake Formation Governed Tables : On going + +NB: + +- For Glue 3: you have to setup a [Glue connectors](https://docs.aws.amazon.com/glue/latest/ug/connectors-chapter.html). + +- For Glue 4: use the `datalake_formats` option in your profile.yml + +When using a connector be sure that your IAM role has these policies: +``` +{ + "Sid": "access_to_connections", + "Action": [ + "glue:GetConnection", + "glue:GetConnections" + ], + "Resource": [ + "arn:aws:glue:::catalog", + "arn:aws:glue:::connection/*" + ], + "Effect": "Allow" +} +``` +and that the managed policy `AmazonEC2ContainerRegistryReadOnly` is attached. +Be sure that you follow the getting started instructions [here](https://docs.aws.amazon.com/glue/latest/ug/setting-up.html#getting-started-min-privs-connectors). + + +This [blog post](https://aws.amazon.com/blogs/big-data/part-1-integrate-apache-hudi-delta-lake-apache-iceberg-datasets-at-scale-aws-glue-studio-notebook/) also explain how to setup and works with Glue Connectors + +#### Hudi + +**Usage notes:** The `merge` with Hudi incremental strategy requires: +- To add `file_format: hudi` in your table configuration +- To add a datalake_formats in your profile : `datalake_formats: hudi` + - Alternatively, to add a connections in your profile : `connections: name_of_your_hudi_connector` +- To add Kryo serializer in your Interactive Session Config (in your profile): `conf: spark.serializer=org.apache.spark.serializer.KryoSerializer --conf spark.sql.hive.convertMetastoreParquet=false` + +dbt will run an [atomic `merge` statement](https://hudi.apache.org/docs/writing_data#spark-datasource-writer) which looks nearly identical to the default merge behavior on Snowflake and BigQuery. If a `unique_key` is specified (recommended), dbt will update old records with values from new records that match on the key column. If a `unique_key` is not specified, dbt will forgo match criteria and simply insert all new records (similar to `append` strategy). + +#### Profile config example +```yaml +test_project: + target: dev + outputs: + dev: + type: glue + query-comment: my comment + role_arn: arn:aws:iam::1234567890:role/GlueInteractiveSessionRole + region: eu-west-1 + glue_version: "4.0" + workers: 2 + worker_type: G.1X + schema: "dbt_test_project" + session_provisioning_timeout_in_seconds: 120 + location: "s3://aws-dbt-glue-datalake-1234567890-eu-west-1/" + conf: spark.serializer=org.apache.spark.serializer.KryoSerializer --conf spark.sql.hive.convertMetastoreParquet=false + datalake_formats: hudi +``` + +#### Source Code example +```sql +{{ config( + materialized='incremental', + incremental_strategy='merge', + unique_key='user_id', + file_format='hudi', + hudi_options={ + 'hoodie.datasource.write.precombine.field': 'eventtime', + } +) }} + +with new_events as ( + + select * from {{ ref('events') }} + + {% if is_incremental() %} + where date_day >= date_add(current_date, -1) + {% endif %} + +) + +select + user_id, + max(date_day) as last_seen + +from events +group by 1 +``` + +#### Delta + +You can also use Delta Lake to be able to use merge feature on tables. + +**Usage notes:** The `merge` with Delta incremental strategy requires: +- To add `file_format: delta` in your table configuration +- To add a datalake_formats in your profile : `datalake_formats: delta` + - Alternatively, to add a connections in your profile : `connections: name_of_your_delta_connector` +- To add the following config in your Interactive Session Config (in your profile): `conf: "spark.sql.extensions=io.delta.sql.DeltaSparkSessionExtension --conf spark.sql.catalog.spark_catalog=org.apache.spark.sql.delta.catalog.DeltaCatalog` + +**Athena:** Athena is not compatible by default with delta tables, but you can configure the adapter to create Athena tables on top of your delta table. To do so, you need to configure the two following options in your profile: +- For Delta Lake 2.1.0 supported natively in Glue 4.0: `extra_py_files: "/opt/aws_glue_connectors/selected/datalake/delta-core_2.12-2.1.0.jar"` +- For Delta Lake 1.0.0 supported natively in Glue 3.0: `extra_py_files: "/opt/aws_glue_connectors/selected/datalake/delta-core_2.12-1.0.0.jar"` +- `delta_athena_prefix: "the_prefix_of_your_choice"` +- If your table is partitioned, then the add of new partition is not automatic, you need to perform an `MSCK REPAIR TABLE your_delta_table` after each new partition adding + +#### Profile config example +```yaml +test_project: + target: dev + outputs: + dev: + type: glue + query-comment: my comment + role_arn: arn:aws:iam::1234567890:role/GlueInteractiveSessionRole + region: eu-west-1 + glue_version: "4.0" + workers: 2 + worker_type: G.1X + schema: "dbt_test_project" + session_provisioning_timeout_in_seconds: 120 + location: "s3://aws-dbt-glue-datalake-1234567890-eu-west-1/" + datalake_formats: delta + conf: "spark.sql.extensions=io.delta.sql.DeltaSparkSessionExtension --conf spark.sql.catalog.spark_catalog=org.apache.spark.sql.delta.catalog.DeltaCatalog" + extra_py_files: "/opt/aws_glue_connectors/selected/datalake/delta-core_2.12-2.1.0.jar" + delta_athena_prefix: "delta" +``` + +#### Source Code example +```sql +{{ config( + materialized='incremental', + incremental_strategy='merge', + unique_key='user_id', + partition_by=['dt'], + file_format='delta' +) }} + +with new_events as ( + + select * from {{ ref('events') }} + + {% if is_incremental() %} + where date_day >= date_add(current_date, -1) + {% endif %} + +) + +select + user_id, + max(date_day) as last_seen, + current_date() as dt + +from events +group by 1 +``` + +#### Iceberg + +**Usage notes:** The `merge` with Iceberg incremental strategy requires: +- To attach the AmazonEC2ContainerRegistryReadOnly Manged policy to your execution role : +- To add the following policy to your execution role to enable commit locking in a dynamodb table (more info [here](https://iceberg.apache.org/docs/latest/aws/#dynamodb-lock-manager)). Note that the DynamoDB table specified in the ressource field of this policy should be the one that is mentionned in your dbt profiles (`--conf spark.sql.catalog.glue_catalog.lock.table=myGlueLockTable`). By default, this table is named `myGlueLockTable` and is created automatically (with On-Demand Pricing) when running a dbt-glue model with Incremental Materialization and Iceberg file format. If you want to name the table differently or to create your own table without letting Glue do it on your behalf, please provide the `iceberg_glue_commit_lock_table` parameter with your table name (eg. `MyDynamoDbTable`) in your dbt profile. +```yaml +iceberg_glue_commit_lock_table: "MyDynamoDbTable" +``` +- the latest connector for iceberg in AWS marketplace uses Ver 0.14.0 for Glue 3.0, and Ver 1.2.1 for Glue 4.0 where Kryo serialization fails when writing iceberg, use "org.apache.spark.serializer.JavaSerializer" for spark.serializer instead, more info [here](https://github.com/apache/iceberg/pull/546) + +Make sure you update your conf with `--conf spark.sql.catalog.glue_catalog.lock.table=` and, you change the below iam permission with your correct table name. +``` +{ + "Version": "2012-10-17", + "Statement": [ + { + "Sid": "CommitLockTable", + "Effect": "Allow", + "Action": [ + "dynamodb:CreateTable", + "dynamodb:BatchGetItem", + "dynamodb:BatchWriteItem", + "dynamodb:ConditionCheckItem", + "dynamodb:PutItem", + "dynamodb:DescribeTable", + "dynamodb:DeleteItem", + "dynamodb:GetItem", + "dynamodb:Scan", + "dynamodb:Query", + "dynamodb:UpdateItem" + ], + "Resource": "arn:aws:dynamodb:::table/myGlueLockTable" + } + ] +} +``` +- To add `file_format: Iceberg` in your table configuration +- To add a datalake_formats in your profile : `datalake_formats: iceberg` + - Alternatively, to add a connections in your profile : `connections: name_of_your_iceberg_connector` ( + - For Athena version 3: + - The adapter is compatible with the Iceberg Connector from AWS Marketplace with Glue 3.0 as Fulfillment option and 0.14.0 (Oct 11, 2022) as Software version) + - the latest connector for iceberg in AWS marketplace uses Ver 0.14.0 for Glue 3.0, and Ver 1.2.1 for Glue 4.0 where Kryo serialization fails when writing iceberg, use "org.apache.spark.serializer.JavaSerializer" for spark.serializer instead, more info [here](https://github.com/apache/iceberg/pull/546) + - For Athena version 2: The adapter is compatible with the Iceberg Connector from AWS Marketplace with Glue 3.0 as Fulfillment option and 0.12.0-2 (Feb 14, 2022) as Software version) +- To add the following config in your Interactive Session Config (in your profile): +```--conf spark.sql.extensions=org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions + --conf spark.serializer=org.apache.spark.serializer.KryoSerializer + --conf spark.sql.warehouse=s3:// + --conf spark.sql.catalog.glue_catalog=org.apache.iceberg.spark.SparkCatalog + --conf spark.sql.catalog.glue_catalog.catalog-impl=org.apache.iceberg.aws.glue.GlueCatalog + --conf spark.sql.catalog.glue_catalog.io-impl=org.apache.iceberg.aws.s3.S3FileIO + --conf spark.sql.catalog.glue_catalog.lock-impl=org.apache.iceberg.aws.dynamodb.DynamoDbLockManager + --conf spark.sql.catalog.glue_catalog.lock.table=myGlueLockTable + --conf spark.sql.extensions=org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions +``` + - For Glue 3.0, set `spark.sql.catalog.glue_catalog.lock-impl` to `org.apache.iceberg.aws.glue.DynamoLockManager` instead + +dbt will run an [atomic `merge` statement](https://iceberg.apache.org/docs/latest/spark-writes/) which looks nearly identical to the default merge behavior on Snowflake and BigQuery. You need to provide a `unique_key` to perform merge operation otherwise it will fail. This key is to provide in a Python list format and can contains multiple column name to create a composite unique_key. + +##### Notes +- When using a custom_location in Iceberg, avoid to use final trailing slash. Adding a final trailing slash lead to an un-proper handling of the location, and issues when reading the data from query engines like Trino. The issue should be fixed for Iceberg version > 0.13. Related Github issue can be find [here](https://github.com/apache/iceberg/issues/4582). +- Iceberg also supports `insert_overwrite` and `append` strategies. +- The `warehouse` conf must be provided, but it's overwritten by the adapter `location` in your profile or `custom_location` in model configuration. +- By default, this materialization has `iceberg_expire_snapshots` set to 'True', if you need to have historical auditable changes, set: `iceberg_expire_snapshots='False'`. +- Currently, due to some dbt internal, the iceberg catalog used internally when running glue interactive sessions with dbt-glue has a hardcoded name `glue_catalog`. This name is an alias pointing to the AWS Glue Catalog but is specific to each session. If you want to interact with your data in another session without using dbt-glue (from a Glue Studio notebook, for example), you can configure another alias (ie. another name for the Iceberg Catalog). To illustrate this concept, you can set in your configuration file : +``` +--conf spark.sql.catalog.RandomCatalogName=org.apache.iceberg.spark.SparkCatalog +``` +And then run in an AWS Glue Studio Notebook a session with the following config: +``` +--conf spark.sql.catalog.AnotherRandomCatalogName=org.apache.iceberg.spark.SparkCatalog +``` +In both cases, the underlying catalog would be the AWS Glue Catalog, unique in your AWS Account and Region, and you would be able to work with the exact same data. Also make sure that if you change the name of the Glue Catalog Alias, you change it in all the other `--conf` where it's used: +``` + --conf spark.sql.catalog.RandomCatalogName=org.apache.iceberg.spark.SparkCatalog + --conf spark.sql.catalog.RandomCatalogName.catalog-impl=org.apache.iceberg.aws.glue.GlueCatalog + ... + --conf spark.sql.catalog.RandomCatalogName.lock-impl=org.apache.iceberg.aws.glue.DynamoLockManager +``` +- A full reference to `table_properties` can be found [here](https://iceberg.apache.org/docs/latest/configuration/). +- Iceberg Tables are natively supported by Athena. Therefore, you can query tables created and operated with dbt-glue adapter from Athena. +- Incremental Materialization with Iceberg file format supports dbt snapshot. You are able to run a dbt snapshot command that queries an Iceberg Table and create a dbt fashioned snapshot of it. + +#### Profile config example +```yaml +test_project: + target: dev + outputs: + dev: + type: glue + query-comment: my comment + role_arn: arn:aws:iam::1234567890:role/GlueInteractiveSessionRole + region: eu-west-1 + glue_version: "4.0" + workers: 2 + worker_type: G.1X + schema: "dbt_test_project" + session_provisioning_timeout_in_seconds: 120 + location: "s3://aws-dbt-glue-datalake-1234567890-eu-west-1/" + datalake_formats: iceberg + conf: --conf spark.sql.extensions=org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions --conf spark.serializer=org.apache.spark.serializer.KryoSerializer --conf spark.sql.warehouse=s3://aws-dbt-glue-datalake-1234567890-eu-west-1/dbt_test_project --conf spark.sql.catalog.glue_catalog=org.apache.iceberg.spark.SparkCatalog --conf spark.sql.catalog.glue_catalog.catalog-impl=org.apache.iceberg.aws.glue.GlueCatalog --conf spark.sql.catalog.glue_catalog.io-impl=org.apache.iceberg.aws.s3.S3FileIO --conf spark.sql.catalog.glue_catalog.lock-impl=org.apache.iceberg.aws.dynamodb.DynamoDbLockManager --conf spark.sql.catalog.glue_catalog.lock.table=myGlueLockTable --conf spark.sql.extensions=org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions +``` + +#### Source Code example +```sql +{{ config( + materialized='incremental', + incremental_strategy='merge', + unique_key=['user_id'], + file_format='iceberg', + iceberg_expire_snapshots='False', + partition_by=['status'] + table_properties={'write.target-file-size-bytes': '268435456'} +) }} + +with new_events as ( + + select * from {{ ref('events') }} + + {% if is_incremental() %} + where date_day >= date_add(current_date, -1) + {% endif %} + +) + +select + user_id, + max(date_day) as last_seen + +from events +group by 1 +``` +#### Iceberg Snapshot source code example +```sql + +{% snapshot demosnapshot %} + +{{ + config( + strategy='timestamp', + target_schema='jaffle_db', + updated_at='dt', + file_format='iceberg' +) }} + +select * from {{ ref('customers') }} + +{% endsnapshot %} + +``` + +## Monitoring your Glue Interactive Session + +Monitoring is an important part of maintaining the reliability, availability, +and performance of AWS Glue and your other AWS solutions. AWS provides monitoring +tools that you can use to watch AWS Glue, identify the required number of workers +required for your Glue Interactive Session, report when something is wrong and +take action automatically when appropriate. AWS Glue provides Spark UI, +and CloudWatch logs and metrics for monitoring your AWS Glue jobs. +More information on: [Monitoring AWS Glue Spark jobs](https://docs.aws.amazon.com/glue/latest/dg/monitor-spark.html) + +**Usage notes:** Monitoring requires: +- To add the following IAM policy to your IAM role: +``` +{ + "Version": "2012-10-17", + "Statement": [ + { + "Sid": "CloudwatchMetrics", + "Effect": "Allow", + "Action": "cloudwatch:PutMetricData", + "Resource": "*", + "Condition": { + "StringEquals": { + "cloudwatch:namespace": "Glue" + } + } + }, + { + "Sid": "CloudwatchLogs", + "Effect": "Allow", + "Action": [ + "s3:PutObject", + "logs:CreateLogStream", + "logs:CreateLogGroup", + "logs:PutLogEvents" + ], + "Resource": [ + "arn:aws:logs:*:*:/aws-glue/*", + "arn:aws:s3:::bucket-to-write-sparkui-logs/*" + ] + } + ] +} +``` + +- To add monitoring parameters in your Interactive Session Config (in your profile). +More information on [Job parameters used by AWS Glue](https://docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-etl-glue-arguments.html) + +#### Profile config example +```yaml +test_project: + target: dev + outputs: + dev: + type: glue + query-comment: my comment + role_arn: arn:aws:iam::1234567890:role/GlueInteractiveSessionRole + region: eu-west-1 + glue_version: "4.0" + workers: 2 + worker_type: G.1X + schema: "dbt_test_project" + session_provisioning_timeout_in_seconds: 120 + location: "s3://aws-dbt-glue-datalake-1234567890-eu-west-1/" + default_arguments: "--enable-metrics=true, --enable-continuous-cloudwatch-log=true, --enable-continuous-log-filter=true, --enable-spark-ui=true, --spark-event-logs-path=s3://bucket-to-write-sparkui-logs/dbt/" +``` + +If you want to use the Spark UI, you can launch the Spark history server using a +AWS CloudFormation template that hosts the server on an EC2 instance, +or launch locally using Docker. More information on [Launching the Spark history server](https://docs.aws.amazon.com/glue/latest/dg/monitor-spark-ui-history.html#monitor-spark-ui-history-local) + +## Enabling AWS Glue Auto Scaling +Auto Scaling is available since AWS Glue version 3.0 or later. More information +on the following AWS blog post: ["Introducing AWS Glue Auto Scaling: Automatically resize serverless computing resources for lower cost with optimized Apache Spark"](https://aws.amazon.com/blogs/big-data/introducing-aws-glue-auto-scaling-automatically-resize-serverless-computing-resources-for-lower-cost-with-optimized-apache-spark/) + +With Auto Scaling enabled, you will get the following benefits: + +* AWS Glue automatically adds and removes workers from the cluster depending on the parallelism at each stage or microbatch of the job run. + +* It removes the need for you to experiment and decide on the number of workers to assign for your AWS Glue Interactive sessions. + +* Once you choose the maximum number of workers, AWS Glue will choose the right size resources for the workload. +* You can see how the size of the cluster changes during the Glue Interactive sessions run by looking at CloudWatch metrics. +More information on [Monitoring your Glue Interactive Session](#Monitoring-your-Glue-Interactive-Session). + +**Usage notes:** AWS Glue Auto Scaling requires: +- To set your AWS Glue version 3.0 or later. +- To set the maximum number of workers (if Auto Scaling is enabled, the `workers` +parameter sets the maximum number of workers) +- To set the `--enable-auto-scaling=true` parameter on your Glue Interactive Session Config (in your profile). +More information on [Job parameters used by AWS Glue](https://docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-etl-glue-arguments.html) + +#### Profile config example +```yaml +test_project: + target: dev + outputs: + dev: + type: glue + query-comment: my comment + role_arn: arn:aws:iam::1234567890:role/GlueInteractiveSessionRole + region: eu-west-1 + glue_version: "3.0" + workers: 2 + worker_type: G.1X + schema: "dbt_test_project" + session_provisioning_timeout_in_seconds: 120 + location: "s3://aws-dbt-glue-datalake-1234567890-eu-west-1/" + default_arguments: "--enable-auto-scaling=true" +``` + +## Access Glue catalog in another AWS account +In many cases, you may need to run you dbt jobs to read from another AWS account. + +Review the following link https://repost.aws/knowledge-center/glue-tables-cross-accounts to set up access policies in source and target accounts + +Add the following `"spark.hadoop.hive.metastore.glue.catalogid="` to your conf in the DBT profile, as such, you can have multiple outputs for each of the accounts that you have access to. + +Note: The access cross-accounts need to be within the same AWS Region +#### Profile config example +```yaml +test_project: + target: dev + outputsAccountB: + dev: + type: glue + query-comment: my comment + role_arn: arn:aws:iam::1234567890:role/GlueInteractiveSessionRole + region: eu-west-1 + glue_version: "3.0" + workers: 2 + worker_type: G.1X + schema: "dbt_test_project" + session_provisioning_timeout_in_seconds: 120 + location: "s3://aws-dbt-glue-datalake-1234567890-eu-west-1/" + conf: "--conf hive.metastore.client.factory.class=com.amazonaws.glue.catalog.metastore.AWSGlueDataCatalogHiveClientFactory + --conf spark.hadoop.hive.metastore.glue.catalogid=" +``` + +## Persisting model descriptions + +Relation-level docs persistence is supported since dbt v0.17.0. For more +information on configuring docs persistence, see [the docs](/reference/resource-configs/persist_docs). + +When the `persist_docs` option is configured appropriately, you'll be able to +see model descriptions in the `Comment` field of `describe [table] extended` +or `show table extended in [database] like '*'`. + +## Always `schema`, never `database` + +Apache Spark uses the terms "schema" and "database" interchangeably. dbt understands +`database` to exist at a higher level than `schema`. As such, you should _never_ +use or set `database` as a node config or in the target profile when running dbt-glue. + +If you want to control the schema/database in which dbt will materialize models, +use the `schema` config and `generate_schema_name` macro _only_. +For more information, check the dbt documentation about [custom schemas](https://docs.getdbt.com/docs/build/custom-schemas). + +## AWS Lakeformation integration +The adapter supports AWS Lake Formation tags management enabling you to associate existing tags defined out of dbt-glue to database objects built by dbt-glue (database, table, view, snapshot, incremental models, seeds). + +- You can enable or disable lf-tags management via config, at model and dbt-project level (disabled by default) +- If enabled, lf-tags will be updated on every dbt run. There are table level lf-tags configs and column-level lf-tags configs. +- You can specify that you want to drop existing database, table column Lake Formation tags by setting the drop_existing config field to True (False by default, meaning existing tags are kept) +- Please note that if the tag you want to associate with the table does not exist, the dbt-glue execution will throw an error + +The adapter also supports AWS Lakeformation data cell filtering. +- You can enable or disable data-cell filtering via config, at model and dbt-project level (disabled by default) +- If enabled, data_cell_filters will be updated on every dbt run. +- You can specify that you want to drop existing table data-cell filters by setting the drop_existing config field to True (False by default, meaning existing filters are kept) +- You can leverage excluded_columns_names **OR** columns config fields to perform Column level security as well. **Please note that you can use one or the other but not both**. +- By default, if you don't specify any column or excluded_columns, dbt-glue does not perform Column level filtering and let the principal access all the columns. + +The below configuration let the specified principal (lf-data-scientist IAM user) access rows that have a customer_lifetime_value > 15 and all the columns specified ('customer_id', 'first_order', 'most_recent_order', 'number_of_orders') + +```sql +lf_grants={ + 'data_cell_filters': { + 'enabled': True, + 'drop_existing' : True, + 'filters': { + 'the_name_of_my_filter': { + 'row_filter': 'customer_lifetime_value>15', + 'principals': ['arn:aws:iam::123456789:user/lf-data-scientist'], + 'column_names': ['customer_id', 'first_order', 'most_recent_order', 'number_of_orders'] + } + }, + } + } +``` +The below configuration let the specified principal (lf-data-scientist IAM user) access rows that have a customer_lifetime_value > 15 and all the columns *except* the one specified ('first_name') + +```sql +lf_grants={ + 'data_cell_filters': { + 'enabled': True, + 'drop_existing' : True, + 'filters': { + 'the_name_of_my_filter': { + 'row_filter': 'customer_lifetime_value>15', + 'principals': ['arn:aws:iam::123456789:user/lf-data-scientist'], + 'excluded_column_names': ['first_name'] + } + }, + } + } +``` + +See below some examples of how you can integrate LF Tags management and data cell filtering to your configurations : + +#### At model level +This way of defining your Lakeformation rules is appropriate if you want to handle the tagging and filtering policy at object level. Remember that it overrides any configuration defined at dbt-project level. + +```sql +{{ config( + materialized='incremental', + unique_key="customer_id", + incremental_strategy='append', + lf_tags_config={ + 'enabled': true, + 'drop_existing' : False, + 'tags_database': + { + 'name_of_my_db_tag': 'value_of_my_db_tag' + }, + 'tags_table': + { + 'name_of_my_table_tag': 'value_of_my_table_tag' + }, + 'tags_columns': { + 'name_of_my_lf_tag': { + 'value_of_my_tag': ['customer_id', 'customer_lifetime_value', 'dt'] + }}}, + lf_grants={ + 'data_cell_filters': { + 'enabled': True, + 'drop_existing' : True, + 'filters': { + 'the_name_of_my_filter': { + 'row_filter': 'customer_lifetime_value>15', + 'principals': ['arn:aws:iam::123456789:user/lf-data-scientist'], + 'excluded_column_names': ['first_name'] + } + }, + } + } +) }} + + select + customers.customer_id, + customers.first_name, + customers.last_name, + customer_orders.first_order, + customer_orders.most_recent_order, + customer_orders.number_of_orders, + customer_payments.total_amount as customer_lifetime_value, + current_date() as dt + + from customers + + left join customer_orders using (customer_id) + + left join customer_payments using (customer_id) + +``` + +#### At dbt-project level +This way you can specify tags and data filtering policy for a particular path in your dbt project (eg. models, seeds, models/model_group1, etc.) +This is especially useful for seeds, for which you can't define configuration in the file directly. + +```yml +seeds: + +lf_tags_config: + enabled: true + tags_table: + name_of_my_table_tag: 'value_of_my_table_tag' + tags_database: + name_of_my_database_tag: 'value_of_my_database_tag' +models: + +lf_tags_config: + enabled: true + drop_existing: True + tags_database: + name_of_my_database_tag: 'value_of_my_database_tag' + tags_table: + name_of_my_table_tag: 'value_of_my_table_tag' +``` + +## Tests + +To perform a functional test: +1. Install dev requirements: +```bash +$ pip3 install -r dev-requirements.txt +``` + +2. Install dev locally +```bash +$ python3 setup.py build && python3 setup.py install_lib +``` + +3. Export variables +```bash +$ export DBT_S3_LOCATION=s3://mybucket/myprefix +$ export DBT_ROLE_ARN=arn:aws:iam::1234567890:role/GlueInteractiveSessionRole +``` + +4. Run the test +```bash +$ python3 -m pytest tests/functional +``` + +For more information, check the dbt documentation about [testing a new adapter](https://docs.getdbt.com/docs/contributing/testing-a-new-adapter). ## Caveats @@ -269,6 +1046,7 @@ Most dbt Core functionality is supported, but some features are only available w Apache Hudi-only features: 1. Incremental model updates by `unique_key` instead of `partition_by` (see [`merge` strategy](/reference/resource-configs/glue-configs#the-merge-strategy)) + Some dbt features, available on the core adapters, are not yet supported on Glue: 1. [Persisting](/reference/resource-configs/persist_docs) column-level descriptions as database comments 2. [Snapshots](/docs/build/snapshots) From 3df67d7c3dce8cac92ba5c31a02ad32bac2d563b Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Fri, 1 Sep 2023 15:57:59 +0100 Subject: [PATCH 258/486] Update glue-setup.md fix typos --- .../core/connect-data-platform/glue-setup.md | 44 +++++++++---------- 1 file changed, 22 insertions(+), 22 deletions(-) diff --git a/website/docs/docs/core/connect-data-platform/glue-setup.md b/website/docs/docs/core/connect-data-platform/glue-setup.md index 99d40db5c7a..e56e5bcd902 100644 --- a/website/docs/docs/core/connect-data-platform/glue-setup.md +++ b/website/docs/docs/core/connect-data-platform/glue-setup.md @@ -58,14 +58,14 @@ For further (and more likely up-to-date) info, see the [README](https://github.c ### Configuring your AWS profile for Glue Interactive Session There are two IAM principals used with interactive sessions. -- Client principal: The princpal (either user or role) calling the AWS APIs (Glue, Lake Formation, Interactive Sessions) -from the local client. This is the principal configured in the AWS CLI and likely the same. +- Client principal: The principal (either user or role) calling the AWS APIs (Glue, Lake Formation, Interactive Sessions) +from the local client. This is the principal configured in the AWS CLI and is likely the same. - Service role: The IAM role that AWS Glue uses to execute your session. This is the same as AWS Glue ETL. Read [this documentation](https://docs.aws.amazon.com/glue/latest/dg/glue-is-security.html) to configure these principals. -You will find bellow a least privileged policy to enjoy all features of **`dbt-glue`** adapter. +You will find below a least privileged policy to enjoy all features of **`dbt-glue`** adapter. Please to update variables between **`<>`**, here are explanations of these arguments: @@ -198,7 +198,7 @@ Please to update variables between **`<>`**, here are explanations of these argu ### Configuration of the local environment -Because **`dbt`** and **`dbt-glue`** adapter are compatible with Python versions 3.7, 3.8, and 3.9, check the version of Python: +Because **`dbt`** and **`dbt-glue`** adapters are compatible with Python versions 3.7, 3.8, and 3.9, check the version of Python: ```bash $ python3 --version @@ -260,27 +260,27 @@ The table below describes all the options. | type | The driver to use. | yes | | query-comment | A string to inject as a comment in each query that dbt runs. | no | | role_arn | The ARN of the glue interactive session IAM role. | yes | -| region | The AWS Region were you run the data pipeline. | yes | +| region | The AWS Region where you run the data pipeline. | yes | | workers | The number of workers of a defined workerType that are allocated when a job runs. | yes | | worker_type | The type of predefined worker that is allocated when a job runs. Accepts a value of Standard, G.1X, or G.2X. | yes | | schema | The schema used to organize data stored in Amazon S3.Additionally, is the database in AWS Lake Formation that stores metadata tables in the Data Catalog. | yes | | session_provisioning_timeout_in_seconds | The timeout in seconds for AWS Glue interactive session provisioning. | yes | | location | The Amazon S3 location of your target data. | yes | -| query_timeout_in_minutes | The timeout in minutes for a signle query. Default is 300 | no | +| query_timeout_in_minutes | The timeout in minutes for a single query. Default is 300 | no | | idle_timeout | The AWS Glue session idle timeout in minutes. (The session stops after being idle for the specified amount of time) | no | | glue_version | The version of AWS Glue for this session to use. Currently, the only valid options are 2.0 and 3.0. The default value is 3.0. | no | | security_configuration | The security configuration to use with this session. | no | | connections | A comma-separated list of connections to use in the session. | no | | conf | Specific configuration used at the startup of the Glue Interactive Session (arg --conf) | no | | extra_py_files | Extra python Libs that can be used by the interactive session. | no | -| delta_athena_prefix | A prefix used to create Athena compatible tables for Delta tables (if not specified, then no Athena compatible table will be created) | no | -| tags | The map of key value pairs (tags) belonging to the session. Ex: `KeyName1=Value1,KeyName2=Value2` | no | +| delta_athena_prefix | A prefix used to create Athena-compatible tables for Delta tables (if not specified, then no Athena-compatible table will be created) | no | +| tags | The map of key-value pairs (tags) belonging to the session. Ex: `KeyName1=Value1,KeyName2=Value2` | no | | seed_format | By default `parquet`, can be Spark format compatible like `csv` or `json` | no | | seed_mode | By default `overwrite`, the seed data will be overwritten, you can set it to `append` if you just want to add new data in your dataset | no | -| default_arguments | The map of key value pairs parameters belonging to the session. More information on [Job parameters used by AWS Glue](https://docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-etl-glue-arguments.html). Ex: `--enable-continuous-cloudwatch-log=true,--enable-continuous-log-filter=true` | no | +| default_arguments | The map of key-value pairs parameters belonging to the session. More information on [Job parameters used by AWS Glue](https://docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-etl-glue-arguments.html). Ex: `--enable-continuous-cloudwatch-log=true,--enable-continuous-log-filter=true` | no | | glue_session_id | re-use the glue-session to run multiple dbt run commands: set a glue session id you need to use | no | -| glue_session_reuse | re-use the glue-session to run multiple dbt run commands: If set to true, the glue session will not be closed for re-use. If set to false, the session will be closed | no | -| datalake_formats | The ACID datalake format that you want to use if you are doing merge, can be `hudi`, `ìceberg` or `delta` |no| +| glue_session_reuse | Reuse the glue-session to run multiple dbt run commands: If set to true, the glue session will not be closed for re-use. If set to false, the session will be closed | no | +| datalake_formats | The ACID data lake format that you want to use if you are doing merge, can be `hudi`, `ìceberg` or `delta` |no| ## Configs @@ -303,7 +303,7 @@ dbt seeks to offer useful and intuitive modeling abstractions by means of its bu For that reason, the dbt-glue plugin leans heavily on the [`incremental_strategy` config](/docs/build/incremental-models). This config tells the incremental materialization how to build models in runs beyond their first. It can be set to one of three values: - **`append`** (default): Insert new records without updating or overwriting any existing data. - **`insert_overwrite`**: If `partition_by` is specified, overwrite partitions in the table with new data. If no `partition_by` is specified, overwrite the entire table with new data. - - **`merge`** (Apache Hudi and Apache Iceberg only): Match records based on a `unique_key`; update old records, insert new ones. (If no `unique_key` is specified, all new data is inserted, similar to `append`.) + - **`merge`** (Apache Hudi and Apache Iceberg only): Match records based on a `unique_key`; update old records, and insert new ones. (If no `unique_key` is specified, all new data is inserted, similar to `append`.) Each of these strategies has its pros and cons, which we'll discuss below. As with any model config, `incremental_strategy` may be specified in `dbt_project.yml` or within a model file's `config()` block. @@ -346,7 +346,7 @@ insert into table analytics.spark_incremental This strategy is most effective when specified alongside a `partition_by` clause in your model config. dbt will run an [atomic `insert overwrite` statement](https://spark.apache.org/docs/latest/sql-ref-syntax-dml-insert-overwrite-table.html) that dynamically replaces all partitions included in your query. Be sure to re-select _all_ of the relevant data for a partition when using this incremental strategy. -If no `partition_by` is specified, then the `insert_overwrite` strategy will atomically replace all contents of the table, overriding all existing data with only the new records. The column schema of the table remains the same, however. This can be desirable in some limited circumstances, since it minimizes downtime while the table contents are overwritten. The operation is comparable to running `truncate` + `insert` on other databases. For atomic replacement of Delta-formatted tables, use the `table` materialization (which runs `create or replace`) instead. +If no `partition_by` is specified, then the `insert_overwrite` strategy will atomically replace all contents of the table, overriding all existing data with only the new records. The column schema of the table remains the same, however. This can be desirable in some limited circumstances since it minimizes downtime while the table contents are overwritten. The operation is comparable to running `truncate` + `insert` on other databases. For atomic replacement of Delta-formatted tables, use the `table` materialization (which runs `create or replace`) instead. #### Source Code ```sql @@ -408,7 +408,7 @@ insert overwrite table analytics.spark_incremental select `date_day`, `users` from spark_incremental__dbt_tmp ``` -Specifying `insert_overwrite` as the incremental strategy is optional, since it's the default strategy used when none is specified. +Specifying `insert_overwrite` as the incremental strategy is optional since it's the default strategy used when none is specified. ### The `merge` strategy @@ -420,7 +420,7 @@ Specifying `insert_overwrite` as the incremental strategy is optional, since it' NB: -- For Glue 3: you have to setup a [Glue connectors](https://docs.aws.amazon.com/glue/latest/ug/connectors-chapter.html). +- For Glue 3: you have to set up a [Glue connectors](https://docs.aws.amazon.com/glue/latest/ug/connectors-chapter.html). - For Glue 4: use the `datalake_formats` option in your profile.yml @@ -443,17 +443,17 @@ and that the managed policy `AmazonEC2ContainerRegistryReadOnly` is attached. Be sure that you follow the getting started instructions [here](https://docs.aws.amazon.com/glue/latest/ug/setting-up.html#getting-started-min-privs-connectors). -This [blog post](https://aws.amazon.com/blogs/big-data/part-1-integrate-apache-hudi-delta-lake-apache-iceberg-datasets-at-scale-aws-glue-studio-notebook/) also explain how to setup and works with Glue Connectors +This [blog post](https://aws.amazon.com/blogs/big-data/part-1-integrate-apache-hudi-delta-lake-apache-iceberg-datasets-at-scale-aws-glue-studio-notebook/) also explains how to set up and works with Glue Connectors #### Hudi **Usage notes:** The `merge` with Hudi incremental strategy requires: - To add `file_format: hudi` in your table configuration - To add a datalake_formats in your profile : `datalake_formats: hudi` - - Alternatively, to add a connections in your profile : `connections: name_of_your_hudi_connector` + - Alternatively, to add a connection in your profile: `connections: name_of_your_hudi_connector` - To add Kryo serializer in your Interactive Session Config (in your profile): `conf: spark.serializer=org.apache.spark.serializer.KryoSerializer --conf spark.sql.hive.convertMetastoreParquet=false` -dbt will run an [atomic `merge` statement](https://hudi.apache.org/docs/writing_data#spark-datasource-writer) which looks nearly identical to the default merge behavior on Snowflake and BigQuery. If a `unique_key` is specified (recommended), dbt will update old records with values from new records that match on the key column. If a `unique_key` is not specified, dbt will forgo match criteria and simply insert all new records (similar to `append` strategy). +dbt will run an [atomic `merge` statement](https://hudi.apache.org/docs/writing_data#spark-datasource-writer) which looks nearly identical to the default merge behavior on Snowflake and BigQuery. If a `unique_key` is specified (recommended), dbt will update old records with values from new records that match the key column. If a `unique_key` is not specified, dbt will forgo match criteria and simply insert all new records (similar to `append` strategy). #### Profile config example ```yaml @@ -512,14 +512,14 @@ You can also use Delta Lake to be able to use merge feature on tables. **Usage notes:** The `merge` with Delta incremental strategy requires: - To add `file_format: delta` in your table configuration - To add a datalake_formats in your profile : `datalake_formats: delta` - - Alternatively, to add a connections in your profile : `connections: name_of_your_delta_connector` + - Alternatively, to add a connection in your profile: `connections: name_of_your_delta_connector` - To add the following config in your Interactive Session Config (in your profile): `conf: "spark.sql.extensions=io.delta.sql.DeltaSparkSessionExtension --conf spark.sql.catalog.spark_catalog=org.apache.spark.sql.delta.catalog.DeltaCatalog` **Athena:** Athena is not compatible by default with delta tables, but you can configure the adapter to create Athena tables on top of your delta table. To do so, you need to configure the two following options in your profile: - For Delta Lake 2.1.0 supported natively in Glue 4.0: `extra_py_files: "/opt/aws_glue_connectors/selected/datalake/delta-core_2.12-2.1.0.jar"` - For Delta Lake 1.0.0 supported natively in Glue 3.0: `extra_py_files: "/opt/aws_glue_connectors/selected/datalake/delta-core_2.12-1.0.0.jar"` - `delta_athena_prefix: "the_prefix_of_your_choice"` -- If your table is partitioned, then the add of new partition is not automatic, you need to perform an `MSCK REPAIR TABLE your_delta_table` after each new partition adding +- If your table is partitioned, then the addition of new partition is not automatic, you need to perform an `MSCK REPAIR TABLE your_delta_table` after each new partition adding #### Profile config example ```yaml @@ -576,7 +576,7 @@ group by 1 **Usage notes:** The `merge` with Iceberg incremental strategy requires: - To attach the AmazonEC2ContainerRegistryReadOnly Manged policy to your execution role : -- To add the following policy to your execution role to enable commit locking in a dynamodb table (more info [here](https://iceberg.apache.org/docs/latest/aws/#dynamodb-lock-manager)). Note that the DynamoDB table specified in the ressource field of this policy should be the one that is mentionned in your dbt profiles (`--conf spark.sql.catalog.glue_catalog.lock.table=myGlueLockTable`). By default, this table is named `myGlueLockTable` and is created automatically (with On-Demand Pricing) when running a dbt-glue model with Incremental Materialization and Iceberg file format. If you want to name the table differently or to create your own table without letting Glue do it on your behalf, please provide the `iceberg_glue_commit_lock_table` parameter with your table name (eg. `MyDynamoDbTable`) in your dbt profile. +- To add the following policy to your execution role to enable commit locking in a dynamodb table (more info [here](https://iceberg.apache.org/docs/latest/aws/#dynamodb-lock-manager)). Note that the DynamoDB table specified in the resource field of this policy should be the one that is mentioned in your dbt profiles (`--conf spark.sql.catalog.glue_catalog.lock.table=myGlueLockTable`). By default, this table is named `myGlueLockTable` and is created automatically (with On-Demand Pricing) when running a dbt-glue model with Incremental Materialization and Iceberg file format. If you want to name the table differently or to create your own table without letting Glue do it on your behalf, please provide the `iceberg_glue_commit_lock_table` parameter with your table name (eg. `MyDynamoDbTable`) in your dbt profile. ```yaml iceberg_glue_commit_lock_table: "MyDynamoDbTable" ``` @@ -610,7 +610,7 @@ Make sure you update your conf with `--conf spark.sql.catalog.glue_catalog.lock. ``` - To add `file_format: Iceberg` in your table configuration - To add a datalake_formats in your profile : `datalake_formats: iceberg` - - Alternatively, to add a connections in your profile : `connections: name_of_your_iceberg_connector` ( + - Alternatively, to add connections in your profile: `connections: name_of_your_iceberg_connector` ( - For Athena version 3: - The adapter is compatible with the Iceberg Connector from AWS Marketplace with Glue 3.0 as Fulfillment option and 0.14.0 (Oct 11, 2022) as Software version) - the latest connector for iceberg in AWS marketplace uses Ver 0.14.0 for Glue 3.0, and Ver 1.2.1 for Glue 4.0 where Kryo serialization fails when writing iceberg, use "org.apache.spark.serializer.JavaSerializer" for spark.serializer instead, more info [here](https://github.com/apache/iceberg/pull/546) From 978b76555d949254e42f039f9bd785e5939cd604 Mon Sep 17 00:00:00 2001 From: tromsky <100031072+tromsky@users.noreply.github.com> Date: Sat, 2 Sep 2023 06:04:28 -0400 Subject: [PATCH 259/486] Update pip install instructions in semantic-layer-2-setup.md Adding double-quotes around the module name and extra information in installation command to help guarantee success --- .../how-we-build-our-metrics/semantic-layer-2-setup.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/website/docs/guides/best-practices/how-we-build-our-metrics/semantic-layer-2-setup.md b/website/docs/guides/best-practices/how-we-build-our-metrics/semantic-layer-2-setup.md index 7861767e25d..34c0e813725 100644 --- a/website/docs/guides/best-practices/how-we-build-our-metrics/semantic-layer-2-setup.md +++ b/website/docs/guides/best-practices/how-we-build-our-metrics/semantic-layer-2-setup.md @@ -23,8 +23,8 @@ We'll use pip to install MetricFlow and our dbt adapter: python -m venv [virtual environment name] source [virtual environment name]/bin/activate # install dbt and MetricFlow -pip install dbt-metricflow[adapter name] -# e.g. dbt-metricflow[snowflake] +pip install "dbt-metricflow[adapter name]" +# e.g. pip install "dbt-metricflow[snowflake]" ``` Lastly, to get to the pre-Semantic Layer starting state, checkout the `start-here` branch. From 963aa86d43dd40191611bdcbdcd3a6754ae39fef Mon Sep 17 00:00:00 2001 From: tromsky <100031072+tromsky@users.noreply.github.com> Date: Sat, 2 Sep 2023 11:05:23 -0400 Subject: [PATCH 260/486] Update SL-MF tutorial for proper expr usage and BigQuery Using an expression in a dimension name is not valid, and the expression is not valid for BigQuery --- .../semantic-layer-3-build-semantic-models.md | 10 ++++++++-- 1 file changed, 8 insertions(+), 2 deletions(-) diff --git a/website/docs/guides/best-practices/how-we-build-our-metrics/semantic-layer-3-build-semantic-models.md b/website/docs/guides/best-practices/how-we-build-our-metrics/semantic-layer-3-build-semantic-models.md index 2c2122572b8..73fa2363aaf 100644 --- a/website/docs/guides/best-practices/how-we-build-our-metrics/semantic-layer-3-build-semantic-models.md +++ b/website/docs/guides/best-practices/how-we-build-our-metrics/semantic-layer-3-build-semantic-models.md @@ -148,7 +148,9 @@ from source ```YAML dimensions: - - name: date_trunc('day', ordered_at) + - name: ordered_at + expr: date_trunc('day', ordered_at) + # use date_trunc(ordered_at, DAY) if using BigQuery type: time type_params: time_granularity: day @@ -166,7 +168,9 @@ We'll discuss an alternate situation, dimensional tables that have static numeri ```YAML ... dimensions: - - name: date_trunc('day', ordered_at) + - name: ordered_at + expr: date_trunc('day', ordered_at) + # use date_trunc(ordered_at, DAY) if using BigQuery type: time type_params: time_granularity: day @@ -254,6 +258,8 @@ semantic_models: dimensions: - name: ordered_at + expr: date_trunc('day', ordered_at) + # use date_trunc(ordered_at, DAY) if using BigQuery type: time type_params: time_granularity: day From 27d3aa69213e1de0fa4a9ebc465b8cf728064cc8 Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Mon, 4 Sep 2023 12:39:56 +0100 Subject: [PATCH 261/486] add relation examples for {{this}} jinja function --- .../reference/dbt-jinja-functions/this.md | 68 ++++++++++++++++++- 1 file changed, 67 insertions(+), 1 deletion(-) diff --git a/website/docs/reference/dbt-jinja-functions/this.md b/website/docs/reference/dbt-jinja-functions/this.md index 9065c660cb0..f41b46109ea 100644 --- a/website/docs/reference/dbt-jinja-functions/this.md +++ b/website/docs/reference/dbt-jinja-functions/this.md @@ -3,13 +3,14 @@ title: "about this" sidebar_label: "this" id: "this" description: "Represents the current model in the database." +keywords: relation, relation object, this function, this jinja, --- `this` is the database representation of the current model. It is useful when: - Defining a `where` statement within [incremental models](/docs/build/incremental-models) - Using [pre or post hooks](/reference/resource-configs/pre-hook-post-hook) -`this` is a [Relation](/reference/dbt-classes#relation), and as such, properties such as `{{ this.database }}` and `{{ this.schema }}` compile as expected. +`this` is a [Relation](/reference/dbt-classes#relation), and as such, properties such as `{{ this.database }}` and `{{ this.schema }}` compile as expected. Refer to [using relation objects](#using-relation-objects) for more examples. `this` can be thought of as equivalent to `ref('')`, and is a neat way to avoid circular dependencies. @@ -54,3 +55,68 @@ from raw_app_data.events ``` + + +### Using relation objects + +`{{this}}` is a [relation object](/reference/dbt-classes#relation_) in dbt that simplifies the handling of database schema and table names while ensuring appropriate quoting in SQL code. You can use `{{this}}` for various tasks, such as accessing attributes or validating relation types. For example: + +1. Open a new file and [create](/reference/dbt-classes#using-relations) a relation by calling the `create` class method on the `Relation` class. + +2. In a separate file, set the `{{this}}` relation object with specific database, schema, and identifier values: + + + + ```sql + {% set this = api.Relation.create(database='mydb', schema='public', identifier='my_table') %} + ``` + + + This code creates a `{{this}}` object representing a table named "my_table" in the "public" schema of the "mydb" database. + +2. Once you create a `{{this}}` relation object, you can access its attributes using the double curly brackets `{{ }}` or validate the type of relation. + + The following example commands prints out the database, schema, identifier, and validates the relation type using the **Compile** button: + + + + + + ```sql + -- Accessing attributes + + {{ this.database }} # Fetches the database name + {{ this.schema }} # Fetches the schema + {{ this.identifier }} # Fetches the identifier (table name in this case) + + -- Validating relation type + + Is Table: {{ this.is_table }} # Validate if it's a table + Is View: {{ this.is_view }} # Validate if it's a view + Is CTE: {{ this.is_cte }} # Validate if it's a CTE + ``` + + + + + + + + + ```sql + -- Accessing attributes + + {{ this.database }} # Fetches the database name + {{ this.schema }} # Fetches the schema + {{ this.identifier }} # Returns the request + + -- Validating relation type + + Is Table: {{ this.is_table }} # Validate if it's a table + Is View: {{ this.is_view }} # Validate if it's a view + Is CTE: {{ this.is_cte }} # Validate if it's a CTE + ``` + + + + From e3effaa5673058cb86a901098f8811cd4e11896c Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Mon, 4 Sep 2023 12:45:43 +0100 Subject: [PATCH 262/486] fix keywords --- website/docs/reference/dbt-jinja-functions/this.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/website/docs/reference/dbt-jinja-functions/this.md b/website/docs/reference/dbt-jinja-functions/this.md index f41b46109ea..35319655b66 100644 --- a/website/docs/reference/dbt-jinja-functions/this.md +++ b/website/docs/reference/dbt-jinja-functions/this.md @@ -3,7 +3,8 @@ title: "about this" sidebar_label: "this" id: "this" description: "Represents the current model in the database." -keywords: relation, relation object, this function, this jinja, +keywords: + relation, relation object, this function, this jinja, this --- `this` is the database representation of the current model. It is useful when: From 7fc7cad9cac0a4b6c0b8fef1c32313195e9ffc3b Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Mon, 4 Sep 2023 14:55:17 +0100 Subject: [PATCH 263/486] fix keyword error --- website/docs/reference/dbt-jinja-functions/this.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/reference/dbt-jinja-functions/this.md b/website/docs/reference/dbt-jinja-functions/this.md index 35319655b66..96e95703952 100644 --- a/website/docs/reference/dbt-jinja-functions/this.md +++ b/website/docs/reference/dbt-jinja-functions/this.md @@ -4,7 +4,7 @@ sidebar_label: "this" id: "this" description: "Represents the current model in the database." keywords: - relation, relation object, this function, this jinja, this + - relation, relation object, this function, this jinja, this --- `this` is the database representation of the current model. It is useful when: From a438f7e95f0ac219869fff6da9adf3b04f8f2037 Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Mon, 4 Sep 2023 14:56:12 +0100 Subject: [PATCH 264/486] more keywords --- website/docs/reference/dbt-jinja-functions/this.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/reference/dbt-jinja-functions/this.md b/website/docs/reference/dbt-jinja-functions/this.md index 96e95703952..4d55405ef97 100644 --- a/website/docs/reference/dbt-jinja-functions/this.md +++ b/website/docs/reference/dbt-jinja-functions/this.md @@ -4,7 +4,7 @@ sidebar_label: "this" id: "this" description: "Represents the current model in the database." keywords: - - relation, relation object, this function, this jinja, this + - relation, relation object, this function, this jinja, this.database, this.schema, this.identifier --- `this` is the database representation of the current model. It is useful when: From 48eff7482a16c9210e47f23f65051234afec40b5 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Mon, 4 Sep 2023 16:00:28 +0100 Subject: [PATCH 265/486] Update website/docs/reference/commands/rpc.md --- website/docs/reference/commands/rpc.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/website/docs/reference/commands/rpc.md b/website/docs/reference/commands/rpc.md index cf9fc57194f..0f61ddec9ae 100644 --- a/website/docs/reference/commands/rpc.md +++ b/website/docs/reference/commands/rpc.md @@ -16,7 +16,9 @@ description: "Remote Procedure Call (rpc) dbt server compiles and runs queries, **The dbt-rpc plugin is deprecated.** -dbt Labs actively maintained `dbt-rpc` for compatibility with dbt-core versions up to v1.5. Starting with dbt-core v1.6 (released in July 2023), `dbt-rpc` is no longer supported for ongoing compatibility. In the meantime, dbt Labs will be performing critical maintenance only for `dbt-rpc`, until the last compatible version of dbt-core has reached the end of official support (see [version policies](/docs/dbt-versions/core)). At that point, dbt Labs will archive this repository to be read-only. +dbt Labs actively maintained `dbt-rpc` for compatibility with dbt-core versions up to v1.5. Starting with [dbt-core v1.6 (released in July 2023), `dbt-rpc` is no longer supported for ongoing compatibility. + +In the meantime, dbt Labs will be performing critical maintenance only for `dbt-rpc`, until the last compatible version of dbt-core has reached the [end of official support](/docs/dbt-versions/core#latest-releases). At that point, dbt Labs will archive this repository to be read-only. ::: From 97a480b273a75a7007ca38b9a2b953946b4e9b92 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Mon, 4 Sep 2023 16:00:33 +0100 Subject: [PATCH 266/486] Update website/docs/reference/commands/rpc.md --- website/docs/reference/commands/rpc.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/reference/commands/rpc.md b/website/docs/reference/commands/rpc.md index 0f61ddec9ae..7b39b3bef20 100644 --- a/website/docs/reference/commands/rpc.md +++ b/website/docs/reference/commands/rpc.md @@ -12,7 +12,7 @@ description: "Remote Procedure Call (rpc) dbt server compiles and runs queries, -:::caution Deprecation +:::caution The dbt-rpc plugin is deprecated **The dbt-rpc plugin is deprecated.** From 7b06fdbc4ab7b8a776c00eb3186c25ee89f4657f Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Mon, 4 Sep 2023 16:05:53 +0100 Subject: [PATCH 267/486] Update website/docs/reference/commands/rpc.md --- website/docs/reference/commands/rpc.md | 1 - 1 file changed, 1 deletion(-) diff --git a/website/docs/reference/commands/rpc.md b/website/docs/reference/commands/rpc.md index 7b39b3bef20..af7d3312e0c 100644 --- a/website/docs/reference/commands/rpc.md +++ b/website/docs/reference/commands/rpc.md @@ -14,7 +14,6 @@ description: "Remote Procedure Call (rpc) dbt server compiles and runs queries, :::caution The dbt-rpc plugin is deprecated -**The dbt-rpc plugin is deprecated.** dbt Labs actively maintained `dbt-rpc` for compatibility with dbt-core versions up to v1.5. Starting with [dbt-core v1.6 (released in July 2023), `dbt-rpc` is no longer supported for ongoing compatibility. From e2937d4a95d1c5f0cc39066e316dbea502afe66f Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Mon, 4 Sep 2023 16:06:13 +0100 Subject: [PATCH 268/486] Update website/docs/reference/commands/rpc.md --- website/docs/reference/commands/rpc.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/reference/commands/rpc.md b/website/docs/reference/commands/rpc.md index af7d3312e0c..2b9a96688de 100644 --- a/website/docs/reference/commands/rpc.md +++ b/website/docs/reference/commands/rpc.md @@ -15,7 +15,7 @@ description: "Remote Procedure Call (rpc) dbt server compiles and runs queries, :::caution The dbt-rpc plugin is deprecated -dbt Labs actively maintained `dbt-rpc` for compatibility with dbt-core versions up to v1.5. Starting with [dbt-core v1.6 (released in July 2023), `dbt-rpc` is no longer supported for ongoing compatibility. +dbt Labs actively maintained `dbt-rpc` for compatibility with dbt-core versions up to v1.5. Starting with dbt-core v1.6 (released in July 2023), `dbt-rpc` is no longer supported for ongoing compatibility. In the meantime, dbt Labs will be performing critical maintenance only for `dbt-rpc`, until the last compatible version of dbt-core has reached the [end of official support](/docs/dbt-versions/core#latest-releases). At that point, dbt Labs will archive this repository to be read-only. From f782012d693457cbddc2b2091f98643e74cb1296 Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Tue, 5 Sep 2023 11:56:41 +0100 Subject: [PATCH 269/486] tabs and move content --- .../reference/resource-configs/contract.md | 29 --------- .../reference/resource-properties/versions.md | 59 +++++++++++++++++++ 2 files changed, 59 insertions(+), 29 deletions(-) diff --git a/website/docs/reference/resource-configs/contract.md b/website/docs/reference/resource-configs/contract.md index 66072fc8b89..e8ea6d82287 100644 --- a/website/docs/reference/resource-configs/contract.md +++ b/website/docs/reference/resource-configs/contract.md @@ -95,32 +95,3 @@ Imagine: - The result is a delta between the yaml-defined contract, and the actual table in the database - which means the contract is now incorrect! Why `append_new_columns`, rather than `sync_all_columns`? Because removing existing columns is a breaking change for contracted models! - -### Detecting breaking changes - -When you use the `state:modified` selection method in Slim CI, dbt will detect changes to model contracts, and raise an error if any of those changes could be breaking for downstream consumers. - -Breaking changes include: -- Removing an existing column -- Changing the `data_type` of an existing column -- Removing or modifying one of the `constraints` on an existing column (dbt v1.6 or higher) - -``` -Breaking Change to Contract Error in model sometable (models/sometable.sql) - While comparing to previous project state, dbt detected a breaking change to an enforced contract. - - The contract's enforcement has been disabled. - - Columns were removed: - - order_name - - Columns with data_type changes: - - order_id (number -> int) - - Consider making an additive (non-breaking) change instead, if possible. - Otherwise, create a new model version: https://docs.getdbt.com/docs/collaborate/govern/model-versions -``` - -Additive changes are **not** considered breaking: -- Adding a new column to a contracted model -- Adding new `constraints` to an existing column in a contracted model diff --git a/website/docs/reference/resource-properties/versions.md b/website/docs/reference/resource-properties/versions.md index 3b8aa7dd1b3..29e342212b4 100644 --- a/website/docs/reference/resource-properties/versions.md +++ b/website/docs/reference/resource-properties/versions.md @@ -65,3 +65,62 @@ Note that the value of `defined_in` and the `alias` configuration of a model are - Follow a consistent naming convention for model versions and aliases. - Use `defined_in` and `alias` only if you have good reason. - Create a view that always points to the latest version of your model. You can automate this for all versioned models in your project with an `on-run-end` hook. For more details, read the full docs on ["Model versions"](/docs/collaborate/govern/model-versions#configuring-database-location-with-alias) + +### Detecting breaking changes + +When you use the `state:modified` selection method in Slim CI, dbt will detect changes to model contracts, and raise an error if any of those changes could be breaking for downstream consumers. + +Breaking changes include: +- Removing an existing column +- Changing the `data_type` of an existing column +- Removing or modifying one of the `constraints` on an existing column (dbt v1.6 or higher) +- Changing unversioned, contracted models. + - dbt also warns if a model has or had a contract but isn't versioned + + + + + +``` + Breaking Change to Unversioned Contract for contracted_model (models/contracted_models/contracted_model.sql) + While comparing to previous project state, dbt detected a breaking change to an unversioned model. + - Contract enforcement was removed: Previously, this model's configuration included contract: {enforced: true}. It is no longer configured to enforce its contract, and this is a breaking change. + - Columns were removed: + - color + - date_day + - Enforced column level constraints were removed: + - id (ConstraintType.not_null) + - id (ConstraintType.primary_key) + - Enforced model level constraints were removed: + - ConstraintType.check -> ['id'] + - Materialization changed with enforced constraints: + - table -> view +``` + + + + +``` +Breaking Change to Contract Error in model sometable (models/sometable.sql) + While comparing to previous project state, dbt detected a breaking change to an enforced contract. + + The contract's enforcement has been disabled. + + Columns were removed: + - order_name + + Columns with data_type changes: + - order_id (number -> int) + + Consider making an additive (non-breaking) change instead, if possible. + Otherwise, create a new model version: https://docs.getdbt.com/docs/collaborate/govern/model-versions +``` + + + + + + +Additive changes are **not** considered breaking: +- Adding a new column to a contracted model +- Adding new `constraints` to an existing column in a contracted model From 0ee0aa7ea7cf6dd77d280d36ce97788769657770 Mon Sep 17 00:00:00 2001 From: john-rock Date: Tue, 5 Sep 2023 08:50:44 -0400 Subject: [PATCH 270/486] trigger build From 270b9cffc1e9250ba1b8a5c30aa8377303b50b20 Mon Sep 17 00:00:00 2001 From: john-rock Date: Tue, 5 Sep 2023 09:34:01 -0400 Subject: [PATCH 271/486] adjust function response --- website/api/get-discourse-comments.js | 32 +++++++++------------------ 1 file changed, 11 insertions(+), 21 deletions(-) diff --git a/website/api/get-discourse-comments.js b/website/api/get-discourse-comments.js index b2487b5ee20..5ac59cfe5f2 100644 --- a/website/api/get-discourse-comments.js +++ b/website/api/get-discourse-comments.js @@ -65,9 +65,8 @@ async function getDiscourseComments(request, response) { return await response.status(200).json(comments); } else { - return await returnResponse(500, { - error: "Unable to create Discourse topic TopicID is not a number.", - }); + console.log("Unable to create Discourse topic TopicID is not a number."); + return await response.status(500).json({ error: "Unable to create Discourse topic TopicID is not a number." }); } } @@ -82,7 +81,7 @@ async function getDiscourseComments(request, response) { } async function createDiscourseTopic(title, externalId, slug, blogUrl, DISCOURSE_TOPIC_ID) { - console.log(`No topics found. Creating a new topic in Discourse - ${title}`) + console.log(`Creating a new topic in Discourse - ${title}`) try { const response = await axios.post(`${discourse_endpoint}/posts`, { title: title, @@ -102,7 +101,7 @@ async function createDiscourseTopic(title, externalId, slug, blogUrl, DISCOURSE_ } catch(err) { console.log('err on createDiscourseTopic', err) - return await returnResponse(500, { error: 'Unable to create Discourse topic.'}) + return err } } @@ -128,7 +127,7 @@ async function getDiscourseTopicbyID(topicId) { return post_stream.posts } catch(err) { console.log('err on getDiscourseTopicbyID', err) - return await returnResponse(500, { error: 'Unable to get Discourse topic by ID.'}) + return err } } @@ -138,24 +137,15 @@ async function searchDiscourseExternalId(externalId) { const data = await axios.get(`${discourse_endpoint}/t/external_id/${externalId}.json`, { headers }); return data.data.id; } catch (err) { - return await returnResponse(500, { error: 'Unable to search Discourse topics.' }); + if (err.response.status === 404) { + console.log("No topics found in Discourse."); + return null; + } + console.log("Unable to search Discourse for external_id.", err); + return err; } } -async function returnResponse(status, res) { - const headers = { - 'Content-Type': 'application/json', - 'Access-Control-Allow-Origin': '*', - 'Access-Control-Allow-Headers': '*', - 'Access-Control-Allow-Methods': 'POST, OPTIONS, GET' - } - const resObj = { - statusCode: status, - headers, - body: JSON.stringify(res) - } - return resObj -} // Truncate external_id to 50 characters per Discourse API requirements function truncateString(str) { From 16aa6aa8d7e46791c61c60cad387dc2c8a92d31f Mon Sep 17 00:00:00 2001 From: john-rock Date: Tue, 5 Sep 2023 09:39:00 -0400 Subject: [PATCH 272/486] adjust topics response --- website/api/get-discourse-topics.js | 26 ++------------------------ 1 file changed, 2 insertions(+), 24 deletions(-) diff --git a/website/api/get-discourse-topics.js b/website/api/get-discourse-topics.js index e15d8ee0032..90d6e5af80e 100644 --- a/website/api/get-discourse-topics.js +++ b/website/api/get-discourse-topics.js @@ -26,7 +26,7 @@ async function getDiscourseTopics(request, response) { // Log message with encoded query and end function console.log('Unable to get results from api request.') console.log(`Search query: ${query}`) - return returnResponse(200, []) + return await response.status(200).json([]) } // Set author and like_count for topics if not querying by specific term @@ -65,29 +65,7 @@ async function getDiscourseTopics(request, response) { } catch(err) { // Log and return the error console.log('err', err) - return await returnResponse(500, { error: 'Unable to get topics from Discourse.'}) - } -} - -async function returnResponse(status, res) { - const headers = { - 'Content-Type': 'application/json', - 'Access-Control-Allow-Origin': '*', - 'Access-Control-Allow-Headers': '*', - 'Access-Control-Allow-Methods': 'POST, OPTIONS' - } - - try { - const resObj = { - statusCode: status, - headers, - body: JSON.stringify(res) - } - - return resObj; - } catch (error) { - console.error('Error:', error); - throw error; + return await response.status(500).json({ error: 'Unable to get topics from Discourse.'}) } } From 593b83a38f5a76edd92212e980d9dbe81e7788c9 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Tue, 5 Sep 2023 14:47:21 +0100 Subject: [PATCH 273/486] Update website/docs/terms/monotonically-increasing.md --- website/docs/terms/monotonically-increasing.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/terms/monotonically-increasing.md b/website/docs/terms/monotonically-increasing.md index 6d1264237ab..4317d39b2fa 100644 --- a/website/docs/terms/monotonically-increasing.md +++ b/website/docs/terms/monotonically-increasing.md @@ -1,7 +1,7 @@ --- id: monotonically-increasing title: Monotonically increasing -description: A monotonically-increasing sequence is a sequence whose values do not decrease, for example the sequences 1, 6, 7, 11, 131 or 2, 5, 5, 5, 6, 10. +description: A monotonically increasing sequence is a sequence whose values are sorted in ascending order and do not decrease. For example, the sequences 1, 6, 7, 11, 131 or 2, 5, 5, 5, 6, 10. displayText: monotonically increasing hoverSnippet: A monotonically-increasing sequence is a sequence whose values do not decrease, for example the sequences 1, 6, 7, 11, 131 or 2, 5, 5, 5, 6, 10. --- From 9d4a4b9bc7f4779119efb9045929b35cdb811e6c Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Tue, 5 Sep 2023 14:47:53 +0100 Subject: [PATCH 274/486] Update website/docs/terms/monotonically-increasing.md --- website/docs/terms/monotonically-increasing.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/terms/monotonically-increasing.md b/website/docs/terms/monotonically-increasing.md index 4317d39b2fa..c7455572850 100644 --- a/website/docs/terms/monotonically-increasing.md +++ b/website/docs/terms/monotonically-increasing.md @@ -3,7 +3,7 @@ id: monotonically-increasing title: Monotonically increasing description: A monotonically increasing sequence is a sequence whose values are sorted in ascending order and do not decrease. For example, the sequences 1, 6, 7, 11, 131 or 2, 5, 5, 5, 6, 10. displayText: monotonically increasing -hoverSnippet: A monotonically-increasing sequence is a sequence whose values do not decrease, for example the sequences 1, 6, 7, 11, 131 or 2, 5, 5, 5, 6, 10. +hoverSnippet: A monotonically-increasing sequence is a sequence whose values are sorted in ascending order and do not decrease. For example, the sequences 1, 6, 7, 11, 131 or 2, 5, 5, 5, 6, 10. --- Monotonicity means unchanging (think monotone); a monotonic sequence is a sequence where the order of the value of the elements does not change. In other words, a monotonically-increasing sequence is a sequence whose values do not decrease. For example the sequences `[1, 6, 7, 11, 131]` or `[2, 5, 5, 5, 6, 10]`. From e9f231ada0da484efb59b849643d7d34dc27c61f Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Tue, 5 Sep 2023 14:48:01 +0100 Subject: [PATCH 275/486] Update website/docs/terms/monotonically-increasing.md --- website/docs/terms/monotonically-increasing.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/terms/monotonically-increasing.md b/website/docs/terms/monotonically-increasing.md index c7455572850..b4e3987995d 100644 --- a/website/docs/terms/monotonically-increasing.md +++ b/website/docs/terms/monotonically-increasing.md @@ -6,6 +6,6 @@ displayText: monotonically increasing hoverSnippet: A monotonically-increasing sequence is a sequence whose values are sorted in ascending order and do not decrease. For example, the sequences 1, 6, 7, 11, 131 or 2, 5, 5, 5, 6, 10. --- -Monotonicity means unchanging (think monotone); a monotonic sequence is a sequence where the order of the value of the elements does not change. In other words, a monotonically-increasing sequence is a sequence whose values do not decrease. For example the sequences `[1, 6, 7, 11, 131]` or `[2, 5, 5, 5, 6, 10]`. +Monotonicity means unchanging (think monotone); a monotonic sequence is a sequence where the order of the value of the elements does not change. In other words, a monotonically-increasing sequence is a sequence whose values are sorted in ascending order and do not decrease. For example the sequences `[1, 6, 7, 11, 131]` or `[2, 5, 5, 5, 6, 10]`.. Monotonically-increasing values often appear in primary keys generated by production systems. In an analytics engineering context, you should avoid generating such values or assuming their existence in your models, because they make it more difficult to create an data model. Instead you should create a which is derived from the unique component(s) of a row. From 97bd5a186f7f2dd0bbdc7552ae793904ebcd3750 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Tue, 5 Sep 2023 15:17:17 +0100 Subject: [PATCH 276/486] Update website/docs/docs/dbt-cloud-apis/sl-jdbc.md --- website/docs/docs/dbt-cloud-apis/sl-jdbc.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/dbt-cloud-apis/sl-jdbc.md b/website/docs/docs/dbt-cloud-apis/sl-jdbc.md index f847e9896c1..f60985b26db 100644 --- a/website/docs/docs/dbt-cloud-apis/sl-jdbc.md +++ b/website/docs/docs/dbt-cloud-apis/sl-jdbc.md @@ -100,7 +100,7 @@ semantic_layer.dimension_values(metrics=['food_order_amount'], group_by=['custom -Use this query to fetch queryable granularities for a list of metrics. This API request allows you to only show the time granularities that make sense for the primary time dimension of the metrics (e.g., `metric_time`), but if you want queryable granularities for other time dimensions, you can use the `dimensions()` call, and find the column queryable_granularities. +Use this query to fetch queryable granularities for a list of metrics. This API request allows you to only show the time granularities that make sense for the primary time dimension of the metrics (such as `metric_time`), but if you want queryable granularities for other time dimensions, you can use the `dimensions()` call, and find the column queryable_granularities. Note, `metrics` is a required argument that lists with one or multiple metrics in it. From 0eb4521d3bc44684d5f06be18b7275f3dfcb81d4 Mon Sep 17 00:00:00 2001 From: Emily Rockman Date: Tue, 5 Sep 2023 14:30:37 -0500 Subject: [PATCH 277/486] create workflow to label autogenerated issues from core repos (#4018) ## What are you changing in this pull request and why? Creating a new workflow to label autogenerate issues from the core repo. Workflows need to live on the default branch. ## Checklist - [ ] ~~Review the [Content style guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md) and [About versioning](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#adding-a-new-version) so my content adheres to these guidelines.~~ not applicable - [ ] Add a checklist item for anything that needs to happen before this PR is merged, such as "needs technical review" or "change base branch." Needs technical review since this is for label automation and is unrelated to docs. Relates to https://github.com/dbt-labs/dbt-core/issues/8439 --- .github/workflows/autogenerated_labeler.yml | 40 +++++++++++++++++++++ 1 file changed, 40 insertions(+) create mode 100644 .github/workflows/autogenerated_labeler.yml diff --git a/.github/workflows/autogenerated_labeler.yml b/.github/workflows/autogenerated_labeler.yml new file mode 100644 index 00000000000..4aa41b7f0d4 --- /dev/null +++ b/.github/workflows/autogenerated_labeler.yml @@ -0,0 +1,40 @@ +# **what?** +# Labels issues autogenerated in dbt-core + +# **why?** +# To organize autogenerated issues from dbt-core to make it easier to find and track them. + +# **when?** +# When an issue is opened by the FishtownBuildBot + +name: Add Labels to Autogenerated Issues + +on: + issues: + types: [opened] + +jobs: + add_customized_labels: + if: github.event.issue.user.login == 'FishtownBuildBot' + permissions: + issues: write + + runs-on: ubuntu-latest + steps: + - name: "Determine appropriate labels by repo in title" + id: repo + env: + ISSUE_TITLE: ${{ github.event.issue.title }} + run: | + if [[ "$ISSUE_TITLE" == *"dbt-core"* ]]; then + echo "labels='content,improvement,dbt Core'" >> $GITHUB_OUTPUT + else + echo "labels='content,improvement,adapters'" >> $GITHUB_OUTPUT + fi + + - name: Add Labels to autogenerated Issues + id: add-labels + run: | + gh issue edit ${{ github.event.issue.number }} --add-label "${{ steps.repo.outputs.labels }}" + env: + GITHUB_TOKEN: ${{ secrets.FISHTOWN_BOT_PAT }} From 7abd5d3ed17494fbfa6f5c0091612cd9fcd26d87 Mon Sep 17 00:00:00 2001 From: Emily Rockman Date: Tue, 5 Sep 2023 14:52:46 -0500 Subject: [PATCH 278/486] swap out token and token name (#4020) ## What are you changing in this pull request and why? Fixing the token name so the workflow stops failing. ## Checklist - [ ] ~~Review the [Content style guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md) and [About versioning](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#adding-a-new-version) so my content adheres to these guidelines.~~ n/a - [ ] Add a checklist item for anything that needs to happen before this PR is merged, such as "needs technical review" or "change base branch." Needs technical review --- .github/workflows/autogenerated_labeler.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/autogenerated_labeler.yml b/.github/workflows/autogenerated_labeler.yml index 4aa41b7f0d4..d72601c069a 100644 --- a/.github/workflows/autogenerated_labeler.yml +++ b/.github/workflows/autogenerated_labeler.yml @@ -37,4 +37,4 @@ jobs: run: | gh issue edit ${{ github.event.issue.number }} --add-label "${{ steps.repo.outputs.labels }}" env: - GITHUB_TOKEN: ${{ secrets.FISHTOWN_BOT_PAT }} + GH_TOKEN: ${{ secrets.DOCS_SECRET }} From 12db4fbf8eb4ce0db954ccf9ed53b4876f96678d Mon Sep 17 00:00:00 2001 From: David Thorn Date: Tue, 5 Sep 2023 15:18:33 -0700 Subject: [PATCH 279/486] Update deploy-jobs.md for self-deferral The CI Phase 2 beta will now include the ability for Deploy jobs to self-defer. This will be useful for jobs running compile, source_freshness:fresher, and other commands that need to defer to the last successful state of that particular job. Feel free to suggest other language as well, this is not perfect. --- website/docs/docs/deploy/deploy-jobs.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/website/docs/docs/deploy/deploy-jobs.md b/website/docs/docs/deploy/deploy-jobs.md index 3d754beb609..5287bfd3109 100644 --- a/website/docs/docs/deploy/deploy-jobs.md +++ b/website/docs/docs/deploy/deploy-jobs.md @@ -90,7 +90,7 @@ If you're interested in joining our beta, please fill out our Google Form to [si - **Environment Variables** — Define [environment variables](/docs/build/environment-variables) to customize the behavior of your project when the deploy job runs. - **Target Name** — Define the [target name](/docs/build/custom-target-names) to customize the behavior of your project when the deploy job runs. Environment variables and target names are often used interchangeably. - **Run Timeout** — Cancel the deploy job if the run time exceeds the timeout value. - - **Compare changes against an environment (Deferral)** option — By default, it’s set to **No deferral**. + - **Compare changes against ** option — By default, it’s set to **No deferral**. For Deploy jobs, you can select either no deferral, deferral to an environment, or self defer (to the same job). :::info Older versions of dbt Cloud only allow you to defer to a specific job instead of an environment. Deferral to a job compares state against the project code that was run in the deferred job's last successful run. While deferral to an environment is more efficient as dbt Cloud will compare against the project representation (which is stored in the `manifest.json`) of the last successful deploy job run that executed in the deferred environment. By considering _all_ deploy jobs that run in the deferred environment, dbt Cloud will get a more accurate, latest project representation state. @@ -148,4 +148,4 @@ Refer to the following example snippets: - [Artifacts](/docs/deploy/artifacts) - [Continuous integration (CI) jobs](/docs/deploy/ci-jobs) -- [Webhooks](/docs/deploy/webhooks) \ No newline at end of file +- [Webhooks](/docs/deploy/webhooks) From 5608123d7c015769551f7187cdebeea0b74c7ece Mon Sep 17 00:00:00 2001 From: Emily Rockman Date: Tue, 5 Sep 2023 19:23:05 -0500 Subject: [PATCH 280/486] add repo and remove extra quotation marks (#4024) ## What are you changing in this pull request and why? Fixing a run error where the repo was missing because we never check ti out. Now sending in the repo as an arg to the update call. ## Checklist - [ ] ~~Review the [Content style guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md) and [About versioning](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#adding-a-new-version) so my content adheres to these guidelines.~~ n/a - [ ] Add a checklist item for anything that needs to happen before this PR is merged, such as "needs technical review" or "change base branch." Needs technical review --- .github/workflows/autogenerated_labeler.yml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.github/workflows/autogenerated_labeler.yml b/.github/workflows/autogenerated_labeler.yml index d72601c069a..e6aab0492b8 100644 --- a/.github/workflows/autogenerated_labeler.yml +++ b/.github/workflows/autogenerated_labeler.yml @@ -32,9 +32,9 @@ jobs: echo "labels='content,improvement,adapters'" >> $GITHUB_OUTPUT fi - - name: Add Labels to autogenerated Issues + - name: "Add Labels to autogenerated Issues" id: add-labels run: | - gh issue edit ${{ github.event.issue.number }} --add-label "${{ steps.repo.outputs.labels }}" + gh issue edit ${{ github.event.issue.number }} --repo ${{ github.repository }} --add-label ${{ steps.repo.outputs.labels }} env: GH_TOKEN: ${{ secrets.DOCS_SECRET }} From d392f4f1b05fabf93565129f437532bba6d7e5a4 Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Wed, 6 Sep 2023 13:00:55 +0100 Subject: [PATCH 281/486] add link to this on relation page --- website/docs/reference/dbt-classes.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/website/docs/reference/dbt-classes.md b/website/docs/reference/dbt-classes.md index 5984826a2a2..3bb4dd39f01 100644 --- a/website/docs/reference/dbt-classes.md +++ b/website/docs/reference/dbt-classes.md @@ -32,6 +32,8 @@ class Relation: ### Using relations +Use relations in your SQL code by wrapping them in double curly brackets `{{ }}` (such as the [Jinja function {{ this }}](/reference/dbt-jinja-functions/this)). For example: + ```jinja2 From c13183772a3fc950c7d5e2aaf4a77a7f54a19291 Mon Sep 17 00:00:00 2001 From: Henri-Maxime Ducoulombier Date: Wed, 6 Sep 2023 15:06:29 +0200 Subject: [PATCH 282/486] Update bigquery-setup.md Fix BigQuery name (no space) --- website/docs/docs/core/connect-data-platform/bigquery-setup.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/core/connect-data-platform/bigquery-setup.md b/website/docs/docs/core/connect-data-platform/bigquery-setup.md index 80150917212..ad056ab46b1 100644 --- a/website/docs/docs/core/connect-data-platform/bigquery-setup.md +++ b/website/docs/docs/core/connect-data-platform/bigquery-setup.md @@ -11,7 +11,7 @@ meta: min_supported_version: 'n/a' slack_channel_name: '#db-bigquery' slack_channel_link: 'https://getdbt.slack.com/archives/C99SNSRTK' - platform_name: 'Big Query' + platform_name: 'BigQuery' config_page: '/reference/resource-configs/bigquery-configs' --- From df2165cd937dbf0b8b23317e45c16115942cb3c7 Mon Sep 17 00:00:00 2001 From: Jeremy Cohen Date: Wed, 6 Sep 2023 15:10:37 +0200 Subject: [PATCH 283/486] Hotfix: replace --skip-populate-cache with --no-populate-cache --- website/docs/reference/global-configs/cache.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/website/docs/reference/global-configs/cache.md b/website/docs/reference/global-configs/cache.md index db4eabd14b7..6157e1a3bfb 100644 --- a/website/docs/reference/global-configs/cache.md +++ b/website/docs/reference/global-configs/cache.md @@ -17,7 +17,7 @@ There are two ways to optionally modify this behavior: For example, to quickly compile a model that requires no database metadata or introspective queries: ```text -dbt --skip-populate-cache compile --select my_model_name +dbt --no-populate-cache compile --select my_model_name ``` @@ -63,4 +63,4 @@ config: - \ No newline at end of file + From 95c476614a922b48a4c5bdb8d315ba6dfc1918e4 Mon Sep 17 00:00:00 2001 From: Anders Swanson Date: Wed, 6 Sep 2023 11:43:13 -0400 Subject: [PATCH 284/486] athena is trusted --- website/snippets/_adapters-trusted.md | 11 +++-------- website/static/img/icons/athena.svg | 1 + website/static/img/icons/white/athena.svg | 1 + 3 files changed, 5 insertions(+), 8 deletions(-) create mode 100644 website/static/img/icons/athena.svg create mode 100644 website/static/img/icons/white/athena.svg diff --git a/website/snippets/_adapters-trusted.md b/website/snippets/_adapters-trusted.md index 7d961e62ee6..10af0218e22 100644 --- a/website/snippets/_adapters-trusted.md +++ b/website/snippets/_adapters-trusted.md @@ -1,13 +1,8 @@
- - + title="Athena*" + body="Install using the CLI

" + icon="athena"/>
diff --git a/website/static/img/icons/athena.svg b/website/static/img/icons/athena.svg new file mode 100644 index 00000000000..c2c6a81dd64 --- /dev/null +++ b/website/static/img/icons/athena.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/website/static/img/icons/white/athena.svg b/website/static/img/icons/white/athena.svg new file mode 100644 index 00000000000..c2c6a81dd64 --- /dev/null +++ b/website/static/img/icons/white/athena.svg @@ -0,0 +1 @@ + \ No newline at end of file From d53ed0c56e50a71c11fafb800bf4a0a841c180ee Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Wed, 6 Sep 2023 17:23:44 +0100 Subject: [PATCH 285/486] Update website/docs/reference/resource-properties/versions.md --- website/docs/reference/resource-properties/versions.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/reference/resource-properties/versions.md b/website/docs/reference/resource-properties/versions.md index 29e342212b4..86e9abf34a8 100644 --- a/website/docs/reference/resource-properties/versions.md +++ b/website/docs/reference/resource-properties/versions.md @@ -68,7 +68,7 @@ Note that the value of `defined_in` and the `alias` configuration of a model are ### Detecting breaking changes -When you use the `state:modified` selection method in Slim CI, dbt will detect changes to model contracts, and raise an error if any of those changes could be breaking for downstream consumers. +When you use the `state:modified` selection method in Slim CI, dbt will detect changes to versioned model contracts, and raise an error if any of those changes could be breaking for downstream consumers. Breaking changes include: - Removing an existing column From a5d1732ae694580d4576d78b28d29a95bec34b8e Mon Sep 17 00:00:00 2001 From: Anders Swanson Date: Wed, 6 Sep 2023 14:01:23 -0400 Subject: [PATCH 286/486] cleaner card layout --- website/docs/docs/trusted-adapters.md | 1 + 1 file changed, 1 insertion(+) diff --git a/website/docs/docs/trusted-adapters.md b/website/docs/docs/trusted-adapters.md index f3ff07467c3..e19bb40785f 100644 --- a/website/docs/docs/trusted-adapters.md +++ b/website/docs/docs/trusted-adapters.md @@ -1,6 +1,7 @@ --- title: "Trusted adapters" id: "trusted-adapters" +hide_table_of_contents: true --- Trusted adapters are adapters not maintained by dbt Labs, that we feel comfortable recommending to users for use in production. From eadc0cb1e73cf0654befc134dea231799bc3c94c Mon Sep 17 00:00:00 2001 From: Anders Swanson Date: Wed, 6 Sep 2023 14:33:45 -0400 Subject: [PATCH 287/486] clarify --- .../zzz_add-adapter-to-trusted-list.yml | 31 ++++++++++++++----- 1 file changed, 24 insertions(+), 7 deletions(-) diff --git a/.github/ISSUE_TEMPLATE/zzz_add-adapter-to-trusted-list.yml b/.github/ISSUE_TEMPLATE/zzz_add-adapter-to-trusted-list.yml index 30e47c86567..e19accf6ebb 100644 --- a/.github/ISSUE_TEMPLATE/zzz_add-adapter-to-trusted-list.yml +++ b/.github/ISSUE_TEMPLATE/zzz_add-adapter-to-trusted-list.yml @@ -1,12 +1,14 @@ name: Add adapter to Trusted list -description: > - For adapter maintainers who wish to have theirs added to the list of [Trusted adapters](https://docs.getdbt.com/docs/trusted-adapters) +description: For adapter maintainers who wish to have theirs added to the list of Trusted adapters. +title: "Trust dbt-myadapter" labels: ["adapter maintainers"] +assignees: + - dataders body: - type: markdown attributes: value: | - We're excited that you'd like to support your adapter formally as "Trusted"! This template will ensure that you are aware of the process and the guidelines. Additionally, that you can vouch that your adapter currently meets the standards of a Trusted adapter + We're excited that you'd like to support your adapter formally as "Trusted"! This template will ensure that you are aware of the process and the guidelines. Additionally, that you can vouch that your adapter currently meets the standards of a Trusted adapter. For more information, see [Trusted adapters](https://docs.getdbt.com/docs/trusted-adapters) - type: input id: adapter-repo @@ -25,13 +27,15 @@ body: validations: required: true - - type: checkboxes + - type: dropdown id: author_type attributes: label: Which of these best describes you? options: - - label: I am a dbt Community member - - label: I work for the vendor on top of which the dbt adapter functions + - I am a dbt Community member + - I work for the vendor on top of which the dbt adapter functions + validations: + required: true - type: checkboxes id: read-program-guide @@ -39,7 +43,20 @@ body: label: Please agree to the each of the following options: - label: I am a maintainer of the adapter being submited for Trusted status + required: true - label: I have read both the [Trusted adapters](https://docs.getdbt.com/docs/trusted-adapters) and [Building a Trusted Adapter](https://docs.getdbt.com/guides/dbt-ecosystem/adapter-development/8-building-a-trusted-adapter) pages. + required: true - label: I believe that the adapter currently meets the expectations given above - - label: I will ensure this adapter stays in compliance with the guidelines + required: true + - label: I will ensure this adapter stays in compliance with the guidelines + required: true - label: I understand that dbt Labs reserves the right to remove an adapter from the trusted adapter list at any time, should any of the below guidelines not be met + required: true + + - type: textarea + id: icon + attributes: + label: What icon should be used? + description: | + Please share an svg image that you'd like to be displayed in for your adapter. Normally, this is the logo for the data platform on top of which your adapter works. If there's a dark mode version, please also share that. + Pasting the image from your clipboard will upload the file to GitHub and create markdown formatting for it to be rendered inline From 40020c01287f6b577a05864fc5197b4a635cccf0 Mon Sep 17 00:00:00 2001 From: Anders Swanson Date: Wed, 6 Sep 2023 16:51:27 -0400 Subject: [PATCH 288/486] drop cloud-specifc requirements --- .../adapter-development/8-building-a-trusted-adapter.md | 2 -- 1 file changed, 2 deletions(-) diff --git a/website/docs/guides/dbt-ecosystem/adapter-development/8-building-a-trusted-adapter.md b/website/docs/guides/dbt-ecosystem/adapter-development/8-building-a-trusted-adapter.md index b8cef0ea34a..9783ec66460 100644 --- a/website/docs/guides/dbt-ecosystem/adapter-development/8-building-a-trusted-adapter.md +++ b/website/docs/guides/dbt-ecosystem/adapter-development/8-building-a-trusted-adapter.md @@ -44,8 +44,6 @@ Trusted adapters will not do any of the following: - Output to logs or file either access credentials information to or data from the underlying data platform itself. - Make API calls other than those expressly required for using dbt features (adapters may not add additional logging) - Obfuscate code and/or functionality so as to avoid detection -- Use the Python runtime of dbt to execute arbitrary Python code -- Draw a dependency on dbt’s Python API beyond what is required for core data transformation functionality as described in the Essential and Extended feature tiers Additionally, to avoid supply-chain attacks: From 7629843b8d060ba4b9e5077a7076607dd0b2ade6 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Wed, 6 Sep 2023 22:32:10 +0100 Subject: [PATCH 289/486] breakdown cli quickstart steps (#4012) the core quickstart currently embeds multiple h3 steps into one h2. this makes the pages quite long and misrepresents the steps as well. After discussion with @runleonarun and feedback from @greg-mckeon , this pr breaks down the h3 steps into h2 to give users more bite-sized chunks of content. this pr also adds redirects from steps to anchored links. [docs project](https://www.notion.so/dbtlabs/Breakdown-Core-quickstart-into-steps-0f1d500635fa4d288371dc4a033cc4e4) --------- Co-authored-by: Leona B. Campbell <3880403+runleonarun@users.noreply.github.com> Co-authored-by: John Rock <46692803+john-rock@users.noreply.github.com> --- website/docs/quickstarts/manual-install-qs.md | 433 +++++++++--------- website/src/components/quickstartTOC/index.js | 20 +- .../dbt-cloud/deployment/run-overview.jpg | Bin 0 -> 101608 bytes 3 files changed, 230 insertions(+), 223 deletions(-) create mode 100644 website/static/img/docs/dbt-cloud/deployment/run-overview.jpg diff --git a/website/docs/quickstarts/manual-install-qs.md b/website/docs/quickstarts/manual-install-qs.md index ea3c6c7ec84..05336178ff6 100644 --- a/website/docs/quickstarts/manual-install-qs.md +++ b/website/docs/quickstarts/manual-install-qs.md @@ -18,11 +18,11 @@ When you use dbt Core to work with dbt, you will be editing files locally using * Complete [Setting up (in BigQuery)](/quickstarts/bigquery?step=2) and [Loading data (BigQuery)](/quickstarts/bigquery?step=3). * [Create a GitHub account](https://github.com/join) if you don't already have one. -## Create a starter project +### Create a starter project After setting up BigQuery to work with dbt, you are ready to create a starter project with example models, before building your own models. -### Create a repository +## Create a repository The following steps use [GitHub](https://github.com/) as the Git provider for this guide, but you can use any Git provider. You should have already [created a GitHub account](https://github.com/join). @@ -32,7 +32,7 @@ The following steps use [GitHub](https://github.com/) as the Git provider for th 4. Click **Create repository**. 5. Save the commands from "…or create a new repository on the command line" to use later in [Commit your changes](#commit-your-changes). -### Create a project +## Create a project Learn how to use a series of commands using the command line of the Terminal to create your project. dbt Core includes an `init` command that helps scaffold a dbt project. @@ -40,56 +40,56 @@ To create your dbt project: 1. Make sure you have dbt Core installed and check the version using the `dbt --version` command: - ```terminal - dbt --version - ``` +```shell +dbt --version +``` 2. Initiate the `jaffle_shop` project using the `init` command: - ```terminal - dbt init jaffle_shop - ``` +```shell +dbt init jaffle_shop +``` 3. Navigate into your project's directory: - ```terminal - cd jaffle_shop - ``` +```shell +cd jaffle_shop +``` 4. Use `pwd` to confirm that you are in the right spot: - ```terminal - $ pwd - > Users/BBaggins/dbt-tutorial/jaffle_shop - ``` +```shell +$ pwd +> Users/BBaggins/dbt-tutorial/jaffle_shop +``` 5. Use a code editor like Atom or VSCode to open the project directory you created in the previous steps, which we named jaffle_shop. The content includes folders and `.sql` and `.yml` files generated by the `init` command. -
- -
+
+ +
6. Update the following values in the `dbt_project.yml` file: - + - ```yaml - name: jaffle_shop # Change from the default, `my_new_project` +```yaml +name: jaffle_shop # Change from the default, `my_new_project` - ... +... - profile: jaffle_shop # Change from the default profile name, `default` +profile: jaffle_shop # Change from the default profile name, `default` - ... +... - models: - jaffle_shop: # Change from `my_new_project` to match the previous value for `name:` - ... - ``` +models: + jaffle_shop: # Change from `my_new_project` to match the previous value for `name:` + ... +``` - + -### Connect to BigQuery +## Connect to BigQuery When developing locally, dbt connects to your using a [profile](/docs/core/connect-data-platform/connection-profiles), which is a YAML file with all the connection details to your warehouse. @@ -97,38 +97,38 @@ When developing locally, dbt connects to your using 2. Move your BigQuery keyfile into this directory. 3. Copy the following and paste into the new profiles.yml file. Make sure you update the values where noted. - - - ```yaml - jaffle_shop: # this needs to match the profile in your dbt_project.yml file - target: dev - outputs: - dev: - type: bigquery - method: service-account - keyfile: /Users/BBaggins/.dbt/dbt-tutorial-project-331118.json # replace this with the full path to your keyfile - project: grand-highway-265418 # Replace this with your project id - dataset: dbt_bbagins # Replace this with dbt_your_name, e.g. dbt_bilbo - threads: 1 - timeout_seconds: 300 - location: US - priority: interactive - ``` - - + + +```yaml +jaffle_shop: # this needs to match the profile in your dbt_project.yml file + target: dev + outputs: + dev: + type: bigquery + method: service-account + keyfile: /Users/BBaggins/.dbt/dbt-tutorial-project-331118.json # replace this with the full path to your keyfile + project: grand-highway-265418 # Replace this with your project id + dataset: dbt_bbagins # Replace this with dbt_your_name, e.g. dbt_bilbo + threads: 1 + timeout_seconds: 300 + location: US + priority: interactive +``` + + 4. Run the `debug` command from your project to confirm that you can successfully connect: - ```terminal - $ dbt debug - > Connection test: OK connection ok - ``` +```shell +$ dbt debug +> Connection test: OK connection ok +``` -
- -
+
+ +
-#### FAQs +### FAQs @@ -136,69 +136,72 @@ When developing locally, dbt connects to your using -### Perform your first dbt run +## Perform your first dbt run Our sample project has some example models in it. We're going to check that we can run them to confirm everything is in order. 1. Enter the `run` command to build example models: - ```terminal - dbt run - ``` +```shell +dbt run +``` You should have an output that looks like this: +
-### Commit your changes +## Commit your changes Commit your changes so that the repository contains the latest code. 1. Link the GitHub repository you created to your dbt project by running the following commands in Terminal. Make sure you use the correct git URL for your repository, which you should have saved from step 5 in [Create a repository](#create-a-repository). - ```terminal - git init - git branch -M main - git add . - git commit -m "Create a dbt project" - git remote add origin https://github.com/USERNAME/dbt-tutorial.git - git push -u origin main - ``` +```shell +git init +git branch -M main +git add . +git commit -m "Create a dbt project" +git remote add origin https://github.com/USERNAME/dbt-tutorial.git +git push -u origin main +``` 2. Return to your GitHub repository to verify your new files have been added. -## Build your first models +### Build your first models -Now that you set up your sample project, you can get to the fun part — [building models](/docs/build/sql-models)! You will take a sample query and turn it into a model in your dbt project. +Now that you set up your sample project, you can get to the fun part — [building models](/docs/build/sql-models)! +In the next steps, you will take a sample query and turn it into a model in your dbt project. -### Checkout a new git branch +## Checkout a new git branch Check out a new git branch to work on new code: 1. Create a new branch by using the `checkout` command and passing the `-b` flag: - ```terminal - $ git checkout -b add-customers-model - > Switched to a new branch `add-customer-model` - ``` +```shell +$ git checkout -b add-customers-model +> Switched to a new branch `add-customer-model` +``` + +## Build your first model -### Build your first model 1. Open your project in your favorite code editor. 2. Create a new SQL file in the `models` directory, named `models/customers.sql`. 3. Paste the following query into the `models/customers.sql` file. - + 4. From the command line, enter `dbt run`. -
- -
+
+ +
When you return to the BigQuery console, you can `select` from this model. -#### FAQs +### FAQs @@ -206,210 +209,210 @@ When you return to the BigQuery console, you can `select` from this model. -### Change the way your model is materialized +## Change the way your model is materialized -### Delete the example models +## Delete the example models -### Build models on top of other models +## Build models on top of other models 1. Create a new SQL file, `models/stg_customers.sql`, with the SQL from the `customers` CTE in our original query. 2. Create a second new SQL file, `models/stg_orders.sql`, with the SQL from the `orders` CTE in our original query. - + -
+
- + - ```sql - select - id as customer_id, - first_name, - last_name +```sql +select + id as customer_id, + first_name, + last_name - from `dbt-tutorial`.jaffle_shop.customers - ``` +from `dbt-tutorial`.jaffle_shop.customers +``` - + - + - ```sql - select - id as order_id, - user_id as customer_id, - order_date, - status +```sql +select + id as order_id, + user_id as customer_id, + order_date, + status - from `dbt-tutorial`.jaffle_shop.orders - ``` +from `dbt-tutorial`.jaffle_shop.orders +``` - + -
+
-
+
- + - ```sql - select - id as customer_id, - first_name, - last_name +```sql +select + id as customer_id, + first_name, + last_name - from jaffle_shop_customers - ``` +from jaffle_shop_customers +``` - + - + - ```sql - select - id as order_id, - user_id as customer_id, - order_date, - status +```sql +select + id as order_id, + user_id as customer_id, + order_date, + status - from jaffle_shop_orders - ``` +from jaffle_shop_orders +``` - + -
+
-
+
- + - ```sql - select - id as customer_id, - first_name, - last_name +```sql +select + id as customer_id, + first_name, + last_name - from jaffle_shop.customers - ``` +from jaffle_shop.customers +``` - + - + - ```sql - select - id as order_id, - user_id as customer_id, - order_date, - status +```sql +select + id as order_id, + user_id as customer_id, + order_date, + status - from jaffle_shop.orders - ``` +from jaffle_shop.orders +``` - + -
+
-
+
- + - ```sql - select - id as customer_id, - first_name, - last_name +```sql +select + id as customer_id, + first_name, + last_name - from raw.jaffle_shop.customers - ``` +from raw.jaffle_shop.customers +``` - + - + - ```sql - select - id as order_id, - user_id as customer_id, - order_date, - status +```sql +select + id as order_id, + user_id as customer_id, + order_date, + status - from raw.jaffle_shop.orders - ``` +from raw.jaffle_shop.orders +``` - + -
+
- + 3. Edit the SQL in your `models/customers.sql` file as follows: - + + +```sql +with customers as ( - ```sql - with customers as ( + select * from {{ ref('stg_customers') }} - select * from {{ ref('stg_customers') }} +), - ), +orders as ( - orders as ( + select * from {{ ref('stg_orders') }} - select * from {{ ref('stg_orders') }} +), - ), +customer_orders as ( - customer_orders as ( + select + customer_id, - select - customer_id, + min(order_date) as first_order_date, + max(order_date) as most_recent_order_date, + count(order_id) as number_of_orders - min(order_date) as first_order_date, - max(order_date) as most_recent_order_date, - count(order_id) as number_of_orders + from orders - from orders + group by 1 - group by 1 +), - ), +final as ( - final as ( + select + customers.customer_id, + customers.first_name, + customers.last_name, + customer_orders.first_order_date, + customer_orders.most_recent_order_date, + coalesce(customer_orders.number_of_orders, 0) as number_of_orders - select - customers.customer_id, - customers.first_name, - customers.last_name, - customer_orders.first_order_date, - customer_orders.most_recent_order_date, - coalesce(customer_orders.number_of_orders, 0) as number_of_orders + from customers - from customers + left join customer_orders using (customer_id) - left join customer_orders using (customer_id) +) - ) +select * from final - select * from final - - ``` +``` - + 4. Execute `dbt run`. - This time, when you performed a `dbt run`, separate views/tables were created for `stg_customers`, `stg_orders` and `customers`. dbt inferred the order to run these models. Because `customers` depends on `stg_customers` and `stg_orders`, dbt builds `customers` last. You do not need to explicitly define these dependencies. +This time, when you performed a `dbt run`, separate views/tables were created for `stg_customers`, `stg_orders` and `customers`. dbt inferred the order to run these models. Because `customers` depends on `stg_customers` and `stg_orders`, dbt builds `customers` last. You do not need to explicitly define these dependencies. -#### FAQs {#faq-2} +### FAQs {#faq-2} @@ -424,13 +427,11 @@ You can also explore: * The `target` directory to see all of the compiled SQL. The `run` directory shows the create or replace table statements that are running, which are the select statements wrapped in the correct DDL. * The `logs` file to see how dbt Core logs all of the action happening within your project. It shows the select statements that are running and the python logging happening when dbt runs. -## Test and document your project - -### Add tests to your models +## Add tests to your models -### Document your models +## Document your models @@ -446,7 +447,7 @@ You can also explore: -### Commit updated changes +## Commit updated changes You need to commit the changes you made to the project so that the repository has your latest code. @@ -457,4 +458,10 @@ You need to commit the changes you made to the project so that the repository ha ## Schedule a job -We recommend using dbt Cloud to schedule a job. For more information about using dbt Core to schedule a job, see [dbt airflow](/blog/dbt-airflow-spiritual-alignment) blog post or [deployments](/docs/deploy/deployments). +We recommend using dbt Cloud as the easiest and most reliable way to [deploy jobs](/docs/deploy/deployments) and automate your dbt project in production. + +For more info on how to get started, refer to [create and schedule jobs](/docs/deploy/deploy-jobs#create-and-schedule-jobs). + + + +For more information about using dbt Core to schedule a job, refer [dbt airflow](/blog/dbt-airflow-spiritual-alignment) blog post. diff --git a/website/src/components/quickstartTOC/index.js b/website/src/components/quickstartTOC/index.js index 49209273964..8c9b8fba910 100644 --- a/website/src/components/quickstartTOC/index.js +++ b/website/src/components/quickstartTOC/index.js @@ -26,16 +26,6 @@ function QuickstartTOC() { const steps = quickstartContainer.querySelectorAll("h2"); const snippetContainer = document.querySelectorAll(".snippet"); - // Add snippet container to its parent step - snippetContainer.forEach((snippet) => { - const parent = snippet?.parentNode; - while (snippet?.firstChild && parent.className) { - if (parent) { - parent.insertBefore(snippet.firstChild, snippet); - } - } - }); - // Create an array of objects with the id and title of each step const data = Array.from(steps).map((step, index) => ({ id: step.id, @@ -49,6 +39,16 @@ function QuickstartTOC() { // Wrap all h2 (steps), along with all of their direct siblings, in a div until the next h2 if (mounted) { + // Add snippet container to its parent step + snippetContainer.forEach((snippet) => { + const parent = snippet?.parentNode; + while (snippet?.firstChild && parent.className) { + if (parent) { + parent.insertBefore(snippet.firstChild, snippet); + } + } + }); + steps.forEach((step, index) => { const wrapper = document.createElement("div"); wrapper.classList.add(style.stepWrapper); diff --git 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zeCyDcm7YgA|2TN3=9^IO`nY-y>zuhoZ=HOT)e~&SCGr**7h4I(1^ly94qmy&?>5ukzUKDAaVgZ?Zh0`1e=K zfA^)gR360%bma)mfc`Iz|KKb&vdH`CwIlC?h`4~AWe8!Rt^)nl@#Un7VZ<+@e{peT z@qj&^Cw_bNSI7UKee*t9emE;DtLPgA=l*SB@UPwjtr~oipT@>UWC&qq$f*7w|MPD% z^ZNp+fkynI`33Mb`Xo2_7rlYJM|{@QYg8VTd1eMi;gzStYkoECZdHI^OE+B}{DzB}rsRR0u`U=!7u(@K+ zXZtLYS9ABhVDf}RvE*XAHv#x@3^X)IS-<2m6c-_S0lW8$&U7;NIWep7K(c?Q=|2Ac zI8BF1KPD=faW2**##mh@4kmd?mu#;i#5>2J7k1Hj;pl-Qb@OD@?d_*ADSV3tg|RK~ z(fH=8L(KHN3>t!5#Ds?=yLbE~f6+hBf}XmCMQ!YuxHNMO8Cdl`A2lfh&p&WQbwRrtSpK?<05peq|>`elDLRjPxzE;+>GSBEDB xGqLU@tNE2*v{eoV%aDP3i^MMu-%CtPAScj0uQYZ|#vKD+igIeQh4-HM{ukv}#}5Di literal 0 HcmV?d00001 From 5000de55bf3801125917cfaa66b3d9851a1ea0ad Mon Sep 17 00:00:00 2001 From: Andrew Tsao Date: Wed, 6 Sep 2023 17:37:41 -0400 Subject: [PATCH 290/486] Update extended attributes Add an additional bullet to clarify that extended attributes only support top-level keys / fields. This will prevent confusion in case users try to pass in partial or individual sub-key values (instead of passing in the entire top-level key as a nested JSON block in the YAML). The latter will work while the former will cause an error when you actually try to run dbt. --- website/snippets/_cloud-environments-info.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/website/snippets/_cloud-environments-info.md b/website/snippets/_cloud-environments-info.md index 9311dc25139..aed2a6316bb 100644 --- a/website/snippets/_cloud-environments-info.md +++ b/website/snippets/_cloud-environments-info.md @@ -65,6 +65,8 @@ If you're developing in the [dbt Cloud IDE](/docs/cloud/dbt-cloud-ide/develop-in - If the attribute doesn't exist, it will add the attribute or value pair to the profile. +- Only **top-level** keys are accepted in extended attributes. In other words, if you wish to update a particular *sub-key value*, you will need to update the entire top-level key as a JSON block in your resulting YAML. For example, assuming you wish to pass in a custom override for a specific individual [service account JSON field](/docs/core/connect-data-platform/bigquery-setup#service-account-json) for your BigQuery connection (e.g. `project_id` or `client_email`), you will need to pass in an override for the entire top-level `keyfile_json` key / attribute instead via extended attributes (with the sub-fields passed in as a nested JSON block). + The following code is an example of the types of attributes you can add in the **Extended Attributes** text box: ```yaml From a5da59087fa536f244e24c99e436296704d73c0e Mon Sep 17 00:00:00 2001 From: "Leona B. Campbell" <3880403+runleonarun@users.noreply.github.com> Date: Wed, 6 Sep 2023 15:04:48 -0700 Subject: [PATCH 291/486] Simplify the templates (#4031) ## What are you changing in this pull request and why? * Reorder the issue templates to make more sense. * Removing unused templates ## Checklist - [ ] Review the [Content style guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md) and [About versioning](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#adding-a-new-version) so my content adheres to these guidelines. - [ ] Add a checklist item for anything that needs to happen before this PR is merged, such as "needs technical review" or "change base branch." Adding new pages (delete if not applicable): - [ ] Add page to `website/sidebars.js` - [ ] Provide a unique filename for the new page Removing or renaming existing pages (delete if not applicable): - [ ] Remove page from `website/sidebars.js` - [ ] Add an entry `website/static/_redirects` - [ ] [Ran link testing](https://github.com/dbt-labs/docs.getdbt.com#running-the-cypress-tests-locally) to update the links that point to the deleted page --------- Co-authored-by: Ly Nguyen <107218380+nghi-ly@users.noreply.github.com> --- .../{improve-docs.yml => a-improve-docs.yml} | 2 +- .github/ISSUE_TEMPLATE/config.yml | 3 -- .github/ISSUE_TEMPLATE/improve-the-site.yml | 8 ++--- .github/ISSUE_TEMPLATE/new-dbt-feature.yml | 33 ------------------- 4 files changed, 5 insertions(+), 41 deletions(-) rename .github/ISSUE_TEMPLATE/{improve-docs.yml => a-improve-docs.yml} (98%) delete mode 100644 .github/ISSUE_TEMPLATE/new-dbt-feature.yml diff --git a/.github/ISSUE_TEMPLATE/improve-docs.yml b/.github/ISSUE_TEMPLATE/a-improve-docs.yml similarity index 98% rename from .github/ISSUE_TEMPLATE/improve-docs.yml rename to .github/ISSUE_TEMPLATE/a-improve-docs.yml index 57dc64cc312..70b173e49a4 100644 --- a/.github/ISSUE_TEMPLATE/improve-docs.yml +++ b/.github/ISSUE_TEMPLATE/a-improve-docs.yml @@ -39,4 +39,4 @@ body: label: Additional information description: Add any other context or screenshots about the feature request here. validations: - required: false \ No newline at end of file + required: false diff --git a/.github/ISSUE_TEMPLATE/config.yml b/.github/ISSUE_TEMPLATE/config.yml index 9349000f66b..f3a3521bdec 100644 --- a/.github/ISSUE_TEMPLATE/config.yml +++ b/.github/ISSUE_TEMPLATE/config.yml @@ -1,8 +1,5 @@ blank_issues_enabled: true contact_links: - - name: Want to see new content? Open a discussion! - url: https://github.com/dbt-labs/docs.getdbt.com/discussions/new - about: You can open a discussion to propose new content for the dbt product documentation. - name: Have questions about dbt? Join the Community! url: https://www.getdbt.com/community/join-the-community about: You can join the dbt Labs Community to ask and answer questions. diff --git a/.github/ISSUE_TEMPLATE/improve-the-site.yml b/.github/ISSUE_TEMPLATE/improve-the-site.yml index e0556d7374f..dd585324f89 100644 --- a/.github/ISSUE_TEMPLATE/improve-the-site.yml +++ b/.github/ISSUE_TEMPLATE/improve-the-site.yml @@ -1,6 +1,6 @@ -name: Improve the docs.getdbt.com site -description: Make a suggestion or report a problem about the technical implementation of docs.getdbt.com. -labels: ["engineering"] +name: Report a docs.getdbt.com site issue +description: Report a problem about the technical implementation of docs.getdbt.com. +labels: ["engineering","bug"] body: - type: markdown attributes: @@ -39,4 +39,4 @@ body: label: Additional information description: Any additional information, configuration, or data that might be necessary to reproduce the issue. validations: - required: false \ No newline at end of file + required: false diff --git a/.github/ISSUE_TEMPLATE/new-dbt-feature.yml b/.github/ISSUE_TEMPLATE/new-dbt-feature.yml deleted file mode 100644 index fa46a189fc4..00000000000 --- a/.github/ISSUE_TEMPLATE/new-dbt-feature.yml +++ /dev/null @@ -1,33 +0,0 @@ -name: Start docs project for a new feature -description: For dbt PMs to add docs for their new or updated dbt product features. -labels: ["content","upcoming release"] -body: - - type: markdown - attributes: - value: | - * Before you file an issue read the [Contributing guide](https://github.com/dbt-labs/docs.getdbt.com#contributing). - * Check to make sure someone hasn't already opened a similar [issue](https://github.com/dbt-labs/docs.getdbt.com/issues). - - - type: checkboxes - id: contributions - attributes: - label: Contributions - description: This applies to new, unreleased content. - options: - - label: I am a PM or subject matter expert at dbt who is responsible for this feature. - - - type: textarea - attributes: - label: Where does this content belong? - description: | - - Give as much detail as you can to help us understand where you expect the content to live. - validations: - required: true - - - type: textarea - attributes: - label: Link to source material - description: | - Use the [source material template](https://docs.google.com/document/d/1lLWGMXJFjkY4p7r8ZKhBX73dOLmIjgXZBYq39LqmAJs/edit) to provide source material for this feature. - validations: - required: true \ No newline at end of file From 1379c87a3eb58979a3df15d3526439724968ac6d Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Thu, 7 Sep 2023 10:52:59 +0100 Subject: [PATCH 292/486] remove duplication --- .../reference/dbt-jinja-functions/this.md | 21 +++---------------- 1 file changed, 3 insertions(+), 18 deletions(-) diff --git a/website/docs/reference/dbt-jinja-functions/this.md b/website/docs/reference/dbt-jinja-functions/this.md index 4d55405ef97..26df6507708 100644 --- a/website/docs/reference/dbt-jinja-functions/this.md +++ b/website/docs/reference/dbt-jinja-functions/this.md @@ -60,24 +60,9 @@ from raw_app_data.events ### Using relation objects -`{{this}}` is a [relation object](/reference/dbt-classes#relation_) in dbt that simplifies the handling of database schema and table names while ensuring appropriate quoting in SQL code. You can use `{{this}}` for various tasks, such as accessing attributes or validating relation types. For example: +`{{ this }}` is a [relation object](/reference/dbt-classes#relation_) built in dbt that simplifies the handling of database schema and table names while ensuring appropriate quoting in SQL code. You can use `{{ this }}` for various tasks, such as accessing attributes or validating relation types. -1. Open a new file and [create](/reference/dbt-classes#using-relations) a relation by calling the `create` class method on the `Relation` class. - -2. In a separate file, set the `{{this}}` relation object with specific database, schema, and identifier values: - - - - ```sql - {% set this = api.Relation.create(database='mydb', schema='public', identifier='my_table') %} - ``` - - - This code creates a `{{this}}` object representing a table named "my_table" in the "public" schema of the "mydb" database. - -2. Once you create a `{{this}}` relation object, you can access its attributes using the double curly brackets `{{ }}` or validate the type of relation. - - The following example commands prints out the database, schema, identifier, and validates the relation type using the **Compile** button: +The following command examples print out the database, schema, and identifier and also validate the relation type using the **Compile** button. @@ -88,7 +73,7 @@ from raw_app_data.events {{ this.database }} # Fetches the database name {{ this.schema }} # Fetches the schema - {{ this.identifier }} # Fetches the identifier (table name in this case) + {{ this.identifier }} # Fetches the identifier (For example, table name) -- Validating relation type From 3772d66d8c595d14117c42620bc21cf9cd7da935 Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Thu, 7 Sep 2023 10:58:15 +0100 Subject: [PATCH 293/486] simplify example paragraph --- website/docs/reference/dbt-jinja-functions/this.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/reference/dbt-jinja-functions/this.md b/website/docs/reference/dbt-jinja-functions/this.md index 26df6507708..187edaf7134 100644 --- a/website/docs/reference/dbt-jinja-functions/this.md +++ b/website/docs/reference/dbt-jinja-functions/this.md @@ -60,7 +60,7 @@ from raw_app_data.events ### Using relation objects -`{{ this }}` is a [relation object](/reference/dbt-classes#relation_) built in dbt that simplifies the handling of database schema and table names while ensuring appropriate quoting in SQL code. You can use `{{ this }}` for various tasks, such as accessing attributes or validating relation types. +Since `{{ this }}` is a [relation object](/reference/dbt-classes#relation_) included in dbt, you can use it to simplify the handling of database schema and table names. This also helps you ensure appropriate quoting in SQL code. You can use `{{ this }}` for various tasks, such as accessing attributes or validating relation types. The following command examples print out the database, schema, and identifier and also validate the relation type using the **Compile** button. From 5b1b5baf7eba7e3e367626255a253c7bb3bde166 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 7 Sep 2023 11:48:31 +0100 Subject: [PATCH 294/486] Update audit-log.md fix image sizes --- website/docs/docs/cloud/manage-access/audit-log.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/website/docs/docs/cloud/manage-access/audit-log.md b/website/docs/docs/cloud/manage-access/audit-log.md index 818ec553e7b..434a67dc1fb 100644 --- a/website/docs/docs/cloud/manage-access/audit-log.md +++ b/website/docs/docs/cloud/manage-access/audit-log.md @@ -20,7 +20,7 @@ To access audit log, click the gear icon in the top right, then click **Audit Lo
- +
@@ -163,7 +163,7 @@ You can search the audit log to find a specific event or actor, which is limited
- +
@@ -174,6 +174,6 @@ You can use the audit log to export all historical audit results for security, c - For events within 90 days — dbt Cloud will automatically display the 90 days selectable date range. Select **Export Selection** to download a CSV file of all the events that occurred in your organization within 90 days. - For events beyond 90 days — Select **Export All**. The Account Admin will receive an email link to download a CSV file of all the events that occurred in your organization. - + From 3bd04934c86d271bdb31faeb6b8dab80aa96cbb2 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 7 Sep 2023 11:59:39 +0100 Subject: [PATCH 295/486] Update audit-log.md --- website/docs/docs/cloud/manage-access/audit-log.md | 10 ++-------- 1 file changed, 2 insertions(+), 8 deletions(-) diff --git a/website/docs/docs/cloud/manage-access/audit-log.md b/website/docs/docs/cloud/manage-access/audit-log.md index 434a67dc1fb..80ee7f3d116 100644 --- a/website/docs/docs/cloud/manage-access/audit-log.md +++ b/website/docs/docs/cloud/manage-access/audit-log.md @@ -16,14 +16,10 @@ The dbt Cloud audit log stores all the events that occurred in your organization ## Accessing the audit log -To access audit log, click the gear icon in the top right, then click **Audit Log**. - -
+To access the audit log, click the gear icon in the top right, then click **Audit Log**. -
- ## Understanding the audit log On the audit log page, you will see a list of various events and their associated event data. Each of these events show the following information in dbt: @@ -161,17 +157,15 @@ The audit log supports various events for different objects in dbt Cloud. You wi You can search the audit log to find a specific event or actor, which is limited to the ones listed in [Events in audit log](#events-in-audit-log). The audit log successfully lists historical events spanning the last 90 days. You can search for an actor or event using the search bar, and then narrow your results using the time window. -
-
## Exporting logs You can use the audit log to export all historical audit results for security, compliance, and analysis purposes: -- For events within 90 days — dbt Cloud will automatically display the 90 days selectable date range. Select **Export Selection** to download a CSV file of all the events that occurred in your organization within 90 days. +- For events within 90 days — dbt Cloud will automatically display the 90-day selectable date range. Select **Export Selection** to download a CSV file of all the events that occurred in your organization within 90 days. - For events beyond 90 days — Select **Export All**. The Account Admin will receive an email link to download a CSV file of all the events that occurred in your organization. From 2b49cfa35c2eccd1cdde8e9efb23e4d6ed287ed6 Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Thu, 7 Sep 2023 13:21:37 +0100 Subject: [PATCH 296/486] add metric offset --- website/docs/docs/build/derived-metrics.md | 109 ++++++++++++++++++--- 1 file changed, 95 insertions(+), 14 deletions(-) diff --git a/website/docs/docs/build/derived-metrics.md b/website/docs/docs/build/derived-metrics.md index 375794cc5c8..0c5ba3778a1 100644 --- a/website/docs/docs/build/derived-metrics.md +++ b/website/docs/docs/build/derived-metrics.md @@ -6,7 +6,7 @@ sidebar_label: Derived tags: [Metrics, Semantic Layer] --- -In MetricFlow, derived metrics are metrics created by defining an expression using other metrics. They allow performing calculations on top of existing metrics. This proves useful for combining metrics and applying arithmetic functions to aggregated columns, such as, you can define a profit metric. +In MetricFlow, derived metrics are metrics created by defining an expression using other metrics. They enable you to perform calculations with existing metrics. This is helpful for combining metrics and doing math functions on aggregated columns, like creating a profit metric. The parameters, description, and type for derived metrics are: @@ -21,7 +21,8 @@ In MetricFlow, derived metrics are metrics created by defining an expression usi | `metrics` | The list of metrics used in the derived metrics. | Required | | `alias` | Optional alias for the metric that you can use in the expr. | Optional | | `filter` | Optional filter to apply to the metric. | Optional | -| `offset_window` | Set the period for the offset window, such as 1 month. This will return the value of the metric one month from the metric time. | Required | +| `offset_window` | Set the period for the offset window, such as 1 month. This will return the value of the metric one month from the metric time. This can't be used with `offset_to_grain`. | Required | +| `offset_to_grain` | Specifies the granularity or level of detail for the offset, such as a day. This means if you set your `offset_to_grain: day`, the offset is applied at the daily level. If you set it to "hour," it means the offset is at the hourly level. This can't be used with `offset_window`. | Required | The following displays the complete specification for derived metrics, along with an example. @@ -37,7 +38,7 @@ metrics: - name: the name of the metrics. must reference a metric you have already defined # Required alias: optional alias for the metric that you can use in the expr # Optional filter: optional filter to apply to the metric # Optional - offset_window: set the period for the offset window i.e 1 month. This will return the value of the metric one month from the metric time. # Required + offset_window: set the period for the offset window, such as 1 month. This will return the value of the metric one month from the metric time. # Required ``` ## Derived metrics example @@ -85,17 +86,97 @@ metrics: ## Derived metric offset -You may want to use an offset value of a metric in the definition of a derived metric. For example, you can model the retention rate by using a derived metric with an offset, which involves calculating (active customers at the end of the month/active customers at the beginning of the month). +To perform calculations using a metric's value from a previous time period, you can add an offset parameter to a derived metric. For example, if you want to calculate period-over-period growth or track user retention, you can use this metric offset. + +**Note:** You must include the [`metric_time` dimension](/docs/build/dimensions#time) when querying a derived metric with an offset window. + +The following example displays how you can calculate monthly revenue growth using a 1-month offset window: ```yaml -metrics: -- name: user_retention - type: derived - type_params: - expr: active_customers/active_customers_t1m - metrics: - - name: active_customers # these are all metrics (can be a derived metric, meaning building a derived metric with derived metrics) - - name: active_customers - offset_window: 1 month - alias: active_customers_t1m +- name: customer_retention + description: "Percentage of customers that are active now and those active 1 month ago" + label: customer_retention + type_params: + expr: (active_customers/ active_customers_prev_month) + metrics: + - name: active_customers + alias: current_active_customers + - name: active_customers + offset_window: 1 month + alias: active_customers_prev_month +``` + +### Offset windows and granularity + +You can query any granularity and offset window combination. The following examples queries a metric with a 7-day offset and a monthly grain: + +```yaml +- name: d7_booking_change + description: "Difference between bookings now and 7 days ago" + type: derived + label: d7 Bookings Change + type_params: + expr: bookings - bookings_7_days_ago + metrics: + - name: bookings + alias: current_bookings + - name: bookings + offset_window: 7 days + alias: bookings_7_days_ago + +``` + +**Using `offset_to_grain`** + +You can set an `offset_to_grain` to specify the granularity or level of detail for the offset, such as a day or hour. Something to note is that you can't use this with `offset_window`. The following example queries a metric with an hourly offset and a monthly grain: + +```yaml +- name: d7_booking_change + description: "Calculate bookings per hour for the current month" + type: derived + label: d7 Bookings Change + type_params: + expr: bookings * bookings_hourly + metrics: + - name: bookings + alias: current_bookings + - name: bookings + offset_to_grain: hour + alias: bookings_hourly +``` + +### Derived metric offset calculation + +When you run the query `mf query --metrics d7_booking_change --group-by metric_time__month` for the metric, here's how it's calculated: + +1. We retrieve the raw, unaggregated dataset with the specified measures and dimensions at the smallest level of detail, which is currently 'day'. +2. Then, we perform an offset join on the daily dataset, followed by performing a date trunc and aggregation to the requested granularity. + For example, to calculate `d7_booking_change` for July 2017: + - First we sum up all the booking values for each day in July to calculate the bookings metric. + - The following table displays the range of days that make up this monthly aggregation. + +| | Orders | Metric_time | +| - | ---- | -------- | +| | 330 | 2017-07-31 | +| | 7030 | 2017-07-30 to 2017-07-02 | +| | 78 | 2017-07-01 | +| Total | 7438 | 2017-07-01 | + +3. Next, we calculate July's bookings with a 7-day offset. The following table displays the range of days that make up this monthly aggregation. Note that the month begins 7 days later (offset by 7 days) on 2017-07-24. + +| | Orders | Metric_time | +| - | ---- | -------- | +| | 329 | 2017-07-24 | +| | 6840 | 2017-07-23 to 2017-06-35 | +| | 83 | 2017-06-24 | +| Total | 7252 | 2017-07-01 | + +4. Lastly, we calculate the derived metric and return the final result set: + +```bash +bookings - bookings_7_days_ago would be compile as 7438 - 7252 = 186. ``` + +| d7_booking_change | metric_time__month | +| ----------------- | ------------------ | +| 186 | 2017-07-01 | From 0267590e19f006dbb22ce22135cc297c2b5c977c Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 7 Sep 2023 13:23:17 +0100 Subject: [PATCH 297/486] Update website/docs/docs/cloud/manage-access/audit-log.md --- website/docs/docs/cloud/manage-access/audit-log.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/manage-access/audit-log.md b/website/docs/docs/cloud/manage-access/audit-log.md index 80ee7f3d116..c2f19274097 100644 --- a/website/docs/docs/cloud/manage-access/audit-log.md +++ b/website/docs/docs/cloud/manage-access/audit-log.md @@ -18,7 +18,7 @@ The dbt Cloud audit log stores all the events that occurred in your organization To access the audit log, click the gear icon in the top right, then click **Audit Log**. - + ## Understanding the audit log From 3616038281cded73a4b4cfb70fe2fff3ab6ad08b Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 7 Sep 2023 13:26:49 +0100 Subject: [PATCH 298/486] Update derived-metrics.md --- website/docs/docs/build/derived-metrics.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/website/docs/docs/build/derived-metrics.md b/website/docs/docs/build/derived-metrics.md index 0c5ba3778a1..f255f71b07c 100644 --- a/website/docs/docs/build/derived-metrics.md +++ b/website/docs/docs/build/derived-metrics.md @@ -108,7 +108,7 @@ The following example displays how you can calculate monthly revenue growth usin ### Offset windows and granularity -You can query any granularity and offset window combination. The following examples queries a metric with a 7-day offset and a monthly grain: +You can query any granularity and offset window combination. The following example queries a metric with a 7-day offset and a monthly grain: ```yaml - name: d7_booking_change @@ -152,7 +152,7 @@ When you run the query `mf query --metrics d7_booking_change --group-by metric_ 1. We retrieve the raw, unaggregated dataset with the specified measures and dimensions at the smallest level of detail, which is currently 'day'. 2. Then, we perform an offset join on the daily dataset, followed by performing a date trunc and aggregation to the requested granularity. For example, to calculate `d7_booking_change` for July 2017: - - First we sum up all the booking values for each day in July to calculate the bookings metric. + - First, we sum up all the booking values for each day in July to calculate the bookings metric. - The following table displays the range of days that make up this monthly aggregation. | | Orders | Metric_time | From c8be2b0c01ee6ba7f4e673e75766e2d57293e17b Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 7 Sep 2023 13:37:38 +0100 Subject: [PATCH 299/486] Update audit-log.md --- website/docs/docs/cloud/manage-access/audit-log.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/manage-access/audit-log.md b/website/docs/docs/cloud/manage-access/audit-log.md index c2f19274097..bebc68306c4 100644 --- a/website/docs/docs/cloud/manage-access/audit-log.md +++ b/website/docs/docs/cloud/manage-access/audit-log.md @@ -18,7 +18,7 @@ The dbt Cloud audit log stores all the events that occurred in your organization To access the audit log, click the gear icon in the top right, then click **Audit Log**. - + ## Understanding the audit log From ec3ed16cf888a6282fae978dd73f3f03cdce6233 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 7 Sep 2023 13:42:15 +0100 Subject: [PATCH 300/486] Update website/snippets/_cloud-environments-info.md --- website/snippets/_cloud-environments-info.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/snippets/_cloud-environments-info.md b/website/snippets/_cloud-environments-info.md index aed2a6316bb..26ef01248f8 100644 --- a/website/snippets/_cloud-environments-info.md +++ b/website/snippets/_cloud-environments-info.md @@ -65,7 +65,7 @@ If you're developing in the [dbt Cloud IDE](/docs/cloud/dbt-cloud-ide/develop-in - If the attribute doesn't exist, it will add the attribute or value pair to the profile. -- Only **top-level** keys are accepted in extended attributes. In other words, if you wish to update a particular *sub-key value*, you will need to update the entire top-level key as a JSON block in your resulting YAML. For example, assuming you wish to pass in a custom override for a specific individual [service account JSON field](/docs/core/connect-data-platform/bigquery-setup#service-account-json) for your BigQuery connection (e.g. `project_id` or `client_email`), you will need to pass in an override for the entire top-level `keyfile_json` key / attribute instead via extended attributes (with the sub-fields passed in as a nested JSON block). +Only the **top-level keys** are accepted in extended attributes. This means that if you want to change a specific sub-key value, you must provide the entire top-level key as a JSON block in your resulting YAML. For example, if you want to customize a particular field within a [service account JSON](/docs/core/connect-data-platform/bigquery-setup#service-account-json) for your BigQuery connection (like 'project_id' or 'client_email'), you need to provide an override for the entire top-level 'keyfile_json' main key/attribute using extended attributes. Include the sub-fields as a nested JSON block. The following code is an example of the types of attributes you can add in the **Extended Attributes** text box: From dcd73f57c3f0b64a80b3bdebf909e4d83f779128 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 7 Sep 2023 13:42:44 +0100 Subject: [PATCH 301/486] Update website/snippets/_cloud-environments-info.md --- website/snippets/_cloud-environments-info.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/snippets/_cloud-environments-info.md b/website/snippets/_cloud-environments-info.md index 26ef01248f8..5388379dc34 100644 --- a/website/snippets/_cloud-environments-info.md +++ b/website/snippets/_cloud-environments-info.md @@ -65,7 +65,7 @@ If you're developing in the [dbt Cloud IDE](/docs/cloud/dbt-cloud-ide/develop-in - If the attribute doesn't exist, it will add the attribute or value pair to the profile. -Only the **top-level keys** are accepted in extended attributes. This means that if you want to change a specific sub-key value, you must provide the entire top-level key as a JSON block in your resulting YAML. For example, if you want to customize a particular field within a [service account JSON](/docs/core/connect-data-platform/bigquery-setup#service-account-json) for your BigQuery connection (like 'project_id' or 'client_email'), you need to provide an override for the entire top-level 'keyfile_json' main key/attribute using extended attributes. Include the sub-fields as a nested JSON block. +Only the **top-level keys** are accepted in extended attributes. This means that if you want to change a specific sub-key value, you must provide the entire top-level key as a JSON block in your resulting YAML. For example, if you want to customize a particular field within a [service account JSON](/docs/core/connect-data-platform/bigquery-setup#service-account-json) for your BigQuery connection (like 'project_id' or 'client_email'), you need to provide an override for the entire top-level `keyfile_json` main key/attribute using extended attributes. Include the sub-fields as a nested JSON block. The following code is an example of the types of attributes you can add in the **Extended Attributes** text box: From dae162a96249802fbd80489a860cc1012de705cb Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 7 Sep 2023 13:45:25 +0100 Subject: [PATCH 302/486] Update website/docs/docs/cloud/manage-access/audit-log.md --- website/docs/docs/cloud/manage-access/audit-log.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/manage-access/audit-log.md b/website/docs/docs/cloud/manage-access/audit-log.md index bebc68306c4..98bf660b259 100644 --- a/website/docs/docs/cloud/manage-access/audit-log.md +++ b/website/docs/docs/cloud/manage-access/audit-log.md @@ -18,7 +18,7 @@ The dbt Cloud audit log stores all the events that occurred in your organization To access the audit log, click the gear icon in the top right, then click **Audit Log**. - + ## Understanding the audit log From 46f2d4a830c09bf5b34478cc30d7b5fd2b3b426c Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 7 Sep 2023 13:52:08 +0100 Subject: [PATCH 303/486] Update cloud-seats-and-users.md users are confused and asking for more clarify on IT licenses and job notifications. this pr clarifies that IT users can't set job notifications, only receive them. eng and product determining whether this is something that will change in the future. until then, this pr confirms the above. --- .../docs/docs/cloud/manage-access/cloud-seats-and-users.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/website/docs/docs/cloud/manage-access/cloud-seats-and-users.md b/website/docs/docs/cloud/manage-access/cloud-seats-and-users.md index 6b68d440ba3..4589619f8ff 100644 --- a/website/docs/docs/cloud/manage-access/cloud-seats-and-users.md +++ b/website/docs/docs/cloud/manage-access/cloud-seats-and-users.md @@ -21,8 +21,8 @@ The user's assigned license determines the specific capabilities they can access | API Access | ✅ | ❌ | ❌ | | Use [Source Freshness](/docs/deploy/source-freshness) | ✅ | ✅ | ❌ | | Use [Docs](/docs/collaborate/build-and-view-your-docs) | ✅ | ✅ | ❌ | -| Receive [Job notifications](/docs/deploy/job-notifications) | ✅ | ✅ | ✅ | -*Available on Enterprise and Team plans only and doesn't count toward seat usage. Please note, IT seats are limited to 1 seat per Team or Enterprise account. +| Receive [Job notifications](/docs/deploy/job-notifications) | ✅ | ✅ | ✅ Note, that IT users set job notifications.| +*Available on Enterprise and Team plans only and doesn't count toward seat usage. Please note, that IT seats are limited to 1 seat per Team or Enterprise account. ## Licenses From 63d3a145f4d3e6f4f3c108fbd015b84ac95f756a Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 7 Sep 2023 13:55:06 +0100 Subject: [PATCH 304/486] Update job-notifications.md --- website/docs/docs/deploy/job-notifications.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/website/docs/docs/deploy/job-notifications.md b/website/docs/docs/deploy/job-notifications.md index 72725a1e460..8d242abac78 100644 --- a/website/docs/docs/deploy/job-notifications.md +++ b/website/docs/docs/deploy/job-notifications.md @@ -9,10 +9,10 @@ Setting up notifications in dbt Cloud will allow you to receive alerts via Email ### Email -These are the following options for setting up email notifications: +These are the following options for setting up email notifications. Refer to [Users and licenses](/docs/cloud/manage-access/seats-and-users) for info on license types eligible for email notifications. -- As a **user** — You can set up email notifications for yourself under your Profile. -- As an **admin** — You can set up notifications on behalf of your team members. Refer to [Users and licenses](/docs/cloud/manage-access/seats-and-users) for info on license types eligible for email notifications. +- As a **user** — You can set up email notifications for yourself under your Profile. +- As an **admin** — You can set up notifications on behalf of your team members. To set up job notifications, follow these steps: From 59689fd84dd5b775f1acead720cfd61d84a4e51b Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 7 Sep 2023 13:56:31 +0100 Subject: [PATCH 305/486] Update cloud-seats-and-users.md --- website/docs/docs/cloud/manage-access/cloud-seats-and-users.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/manage-access/cloud-seats-and-users.md b/website/docs/docs/cloud/manage-access/cloud-seats-and-users.md index 4589619f8ff..67e05964e89 100644 --- a/website/docs/docs/cloud/manage-access/cloud-seats-and-users.md +++ b/website/docs/docs/cloud/manage-access/cloud-seats-and-users.md @@ -21,7 +21,7 @@ The user's assigned license determines the specific capabilities they can access | API Access | ✅ | ❌ | ❌ | | Use [Source Freshness](/docs/deploy/source-freshness) | ✅ | ✅ | ❌ | | Use [Docs](/docs/collaborate/build-and-view-your-docs) | ✅ | ✅ | ❌ | -| Receive [Job notifications](/docs/deploy/job-notifications) | ✅ | ✅ | ✅ Note, that IT users set job notifications.| +| Receive [Job notifications](/docs/deploy/job-notifications) | ✅ | ✅ Note, that Read-Only users can't set job notifications. | ✅ Note, that IT users can't set job notifications.| *Available on Enterprise and Team plans only and doesn't count toward seat usage. Please note, that IT seats are limited to 1 seat per Team or Enterprise account. ## Licenses From 33616bc149ece46a9085d8ae932faca98e6d3c6f Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 7 Sep 2023 15:25:30 +0100 Subject: [PATCH 306/486] Update cloud-seats-and-users.md --- website/docs/docs/cloud/manage-access/cloud-seats-and-users.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/manage-access/cloud-seats-and-users.md b/website/docs/docs/cloud/manage-access/cloud-seats-and-users.md index 67e05964e89..d35837e6890 100644 --- a/website/docs/docs/cloud/manage-access/cloud-seats-and-users.md +++ b/website/docs/docs/cloud/manage-access/cloud-seats-and-users.md @@ -21,7 +21,7 @@ The user's assigned license determines the specific capabilities they can access | API Access | ✅ | ❌ | ❌ | | Use [Source Freshness](/docs/deploy/source-freshness) | ✅ | ✅ | ❌ | | Use [Docs](/docs/collaborate/build-and-view-your-docs) | ✅ | ✅ | ❌ | -| Receive [Job notifications](/docs/deploy/job-notifications) | ✅ | ✅ Note, that Read-Only users can't set job notifications. | ✅ Note, that IT users can't set job notifications.| +| Receive [Job notifications](/docs/deploy/job-notifications) | ✅ | ✅
Can't set job notifications. | ✅
Can't set job notifications.| *Available on Enterprise and Team plans only and doesn't count toward seat usage. Please note, that IT seats are limited to 1 seat per Team or Enterprise account. ## Licenses From a6ec7fdd459b37069284438639b749b0eef5ed43 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 7 Sep 2023 16:39:27 +0100 Subject: [PATCH 307/486] Update cloud-seats-and-users.md clarify it/readonly can't set job notifications --- .../docs/docs/cloud/manage-access/cloud-seats-and-users.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/website/docs/docs/cloud/manage-access/cloud-seats-and-users.md b/website/docs/docs/cloud/manage-access/cloud-seats-and-users.md index d35837e6890..3e3b829cfbf 100644 --- a/website/docs/docs/cloud/manage-access/cloud-seats-and-users.md +++ b/website/docs/docs/cloud/manage-access/cloud-seats-and-users.md @@ -8,8 +8,8 @@ sidebar: "Users and licenses" In dbt Cloud, _licenses_ are used to allocate users to your account. There are three different types of licenses in dbt Cloud: - **Developer** — Granted access to the Deployment and [Development](/docs/cloud/dbt-cloud-ide/develop-in-the-cloud) functionality in dbt Cloud. -- **Read-Only** — Intended to view the [artifacts](/docs/deploy/artifacts) created in a dbt Cloud account. -- **IT** — Can manage users, groups, and licenses, among other permissions. Available on Enterprise and Team plans only. +- **Read-Only** — Intended to view the [artifacts](/docs/deploy/artifacts) created in a dbt Cloud account, can receive job notifications but not configure them. +- **IT** — Can manage users, groups, and licenses, among other permissions. Can receive job notifications but not configure them. Available on Enterprise and Team plans only. The user's assigned license determines the specific capabilities they can access in dbt Cloud. @@ -21,7 +21,7 @@ The user's assigned license determines the specific capabilities they can access | API Access | ✅ | ❌ | ❌ | | Use [Source Freshness](/docs/deploy/source-freshness) | ✅ | ✅ | ❌ | | Use [Docs](/docs/collaborate/build-and-view-your-docs) | ✅ | ✅ | ❌ | -| Receive [Job notifications](/docs/deploy/job-notifications) | ✅ | ✅
Can't set job notifications. | ✅
Can't set job notifications.| +| Receive [Job notifications](/docs/deploy/job-notifications) | ✅ | ✅ | ✅ | *Available on Enterprise and Team plans only and doesn't count toward seat usage. Please note, that IT seats are limited to 1 seat per Team or Enterprise account. ## Licenses From 5a14b28bc6dd5852ccb29cd895a618a19e5b1c0f Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 7 Sep 2023 16:47:31 +0100 Subject: [PATCH 308/486] Update derived-metrics.md removed offset_to_grain --- website/docs/docs/build/derived-metrics.md | 24 +--------------------- 1 file changed, 1 insertion(+), 23 deletions(-) diff --git a/website/docs/docs/build/derived-metrics.md b/website/docs/docs/build/derived-metrics.md index f255f71b07c..703c5ecf756 100644 --- a/website/docs/docs/build/derived-metrics.md +++ b/website/docs/docs/build/derived-metrics.md @@ -22,7 +22,6 @@ In MetricFlow, derived metrics are metrics created by defining an expression usi | `alias` | Optional alias for the metric that you can use in the expr. | Optional | | `filter` | Optional filter to apply to the metric. | Optional | | `offset_window` | Set the period for the offset window, such as 1 month. This will return the value of the metric one month from the metric time. This can't be used with `offset_to_grain`. | Required | -| `offset_to_grain` | Specifies the granularity or level of detail for the offset, such as a day. This means if you set your `offset_to_grain: day`, the offset is applied at the daily level. If you set it to "hour," it means the offset is at the hourly level. This can't be used with `offset_window`. | Required | The following displays the complete specification for derived metrics, along with an example. @@ -126,27 +125,6 @@ You can query any granularity and offset window combination. The following examp ``` -**Using `offset_to_grain`** - -You can set an `offset_to_grain` to specify the granularity or level of detail for the offset, such as a day or hour. Something to note is that you can't use this with `offset_window`. The following example queries a metric with an hourly offset and a monthly grain: - -```yaml -- name: d7_booking_change - description: "Calculate bookings per hour for the current month" - type: derived - label: d7 Bookings Change - type_params: - expr: bookings * bookings_hourly - metrics: - - name: bookings - alias: current_bookings - - name: bookings - offset_to_grain: hour - alias: bookings_hourly -``` - -### Derived metric offset calculation - When you run the query `mf query --metrics d7_booking_change --group-by metric_time__month` for the metric, here's how it's calculated: 1. We retrieve the raw, unaggregated dataset with the specified measures and dimensions at the smallest level of detail, which is currently 'day'. @@ -167,7 +145,7 @@ When you run the query `mf query --metrics d7_booking_change --group-by metric_ | | Orders | Metric_time | | - | ---- | -------- | | | 329 | 2017-07-24 | -| | 6840 | 2017-07-23 to 2017-06-35 | +| | 6840 | 2017-07-23 to 2017-06-30 | | | 83 | 2017-06-24 | | Total | 7252 | 2017-07-01 | From bcdc8553e47e59f965a43187204af21ba740aba7 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 7 Sep 2023 16:55:35 +0100 Subject: [PATCH 309/486] Update derived-metrics.md fix yaml indentations --- website/docs/docs/build/derived-metrics.md | 43 +++++++++++----------- 1 file changed, 21 insertions(+), 22 deletions(-) diff --git a/website/docs/docs/build/derived-metrics.md b/website/docs/docs/build/derived-metrics.md index 703c5ecf756..bef7346b353 100644 --- a/website/docs/docs/build/derived-metrics.md +++ b/website/docs/docs/build/derived-metrics.md @@ -93,16 +93,16 @@ The following example displays how you can calculate monthly revenue growth usin ```yaml - name: customer_retention - description: "Percentage of customers that are active now and those active 1 month ago" - label: customer_retention - type_params: - expr: (active_customers/ active_customers_prev_month) - metrics: - - name: active_customers - alias: current_active_customers - - name: active_customers - offset_window: 1 month - alias: active_customers_prev_month + description: Percentage of customers that are active now and those active 1 month ago + label: customer_retention + type_params: + expr: (active_customers/ active_customers_prev_month) + metrics: + - name: active_customers + alias: current_active_customers + - name: active_customers + offset_window: 1 month + alias: active_customers_prev_month ``` ### Offset windows and granularity @@ -111,18 +111,17 @@ You can query any granularity and offset window combination. The following examp ```yaml - name: d7_booking_change - description: "Difference between bookings now and 7 days ago" - type: derived - label: d7 Bookings Change - type_params: - expr: bookings - bookings_7_days_ago - metrics: - - name: bookings - alias: current_bookings - - name: bookings - offset_window: 7 days - alias: bookings_7_days_ago - + description: Difference between bookings now and 7 days ago + type: derived + label: d7 Bookings Change + type_params: + expr: bookings - bookings_7_days_ago + metrics: + - name: bookings + alias: current_bookings + - name: bookings + offset_window: 7 days + alias: bookings_7_days_ago ``` When you run the query `mf query --metrics d7_booking_change --group-by metric_time__month` for the metric, here's how it's calculated: From 56be8807f134ce77ce1996c06effead9747841d5 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 7 Sep 2023 16:58:48 +0100 Subject: [PATCH 310/486] Update cloud-seats-and-users.md --- .../docs/docs/cloud/manage-access/cloud-seats-and-users.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/website/docs/docs/cloud/manage-access/cloud-seats-and-users.md b/website/docs/docs/cloud/manage-access/cloud-seats-and-users.md index 3e3b829cfbf..04dfbe093c3 100644 --- a/website/docs/docs/cloud/manage-access/cloud-seats-and-users.md +++ b/website/docs/docs/cloud/manage-access/cloud-seats-and-users.md @@ -8,8 +8,8 @@ sidebar: "Users and licenses" In dbt Cloud, _licenses_ are used to allocate users to your account. There are three different types of licenses in dbt Cloud: - **Developer** — Granted access to the Deployment and [Development](/docs/cloud/dbt-cloud-ide/develop-in-the-cloud) functionality in dbt Cloud. -- **Read-Only** — Intended to view the [artifacts](/docs/deploy/artifacts) created in a dbt Cloud account, can receive job notifications but not configure them. -- **IT** — Can manage users, groups, and licenses, among other permissions. Can receive job notifications but not configure them. Available on Enterprise and Team plans only. +- **Read-Only** — Intended to view the [artifacts](/docs/deploy/artifacts) created in a dbt Cloud account. Read-Only users can receive job notifications but not configure them. +- **IT** — Can manage users, groups, and licenses, among other permissions. IT users can receive job notifications but not configure them. Available on Enterprise and Team plans only. The user's assigned license determines the specific capabilities they can access in dbt Cloud. From d1ae33efc19b30229bef9b8f031f5739112b5ef7 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 7 Sep 2023 17:21:49 +0100 Subject: [PATCH 311/486] Update derived-metrics.md removing 'This can't be used with `offset_to_grain`.' as it's not applicable now --- website/docs/docs/build/derived-metrics.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/build/derived-metrics.md b/website/docs/docs/build/derived-metrics.md index bef7346b353..2ad1c3e368c 100644 --- a/website/docs/docs/build/derived-metrics.md +++ b/website/docs/docs/build/derived-metrics.md @@ -21,7 +21,7 @@ In MetricFlow, derived metrics are metrics created by defining an expression usi | `metrics` | The list of metrics used in the derived metrics. | Required | | `alias` | Optional alias for the metric that you can use in the expr. | Optional | | `filter` | Optional filter to apply to the metric. | Optional | -| `offset_window` | Set the period for the offset window, such as 1 month. This will return the value of the metric one month from the metric time. This can't be used with `offset_to_grain`. | Required | +| `offset_window` | Set the period for the offset window, such as 1 month. This will return the value of the metric one month from the metric time. | Required | The following displays the complete specification for derived metrics, along with an example. From f6b740d1509c0d991ed860c20881fc50cdd12619 Mon Sep 17 00:00:00 2001 From: Ly Nguyen <107218380+nghi-ly@users.noreply.github.com> Date: Thu, 7 Sep 2023 10:06:43 -0700 Subject: [PATCH 312/486] Update website/docs/docs/deploy/deploy-jobs.md --- website/docs/docs/deploy/deploy-jobs.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/deploy/deploy-jobs.md b/website/docs/docs/deploy/deploy-jobs.md index 5287bfd3109..82abcb0548b 100644 --- a/website/docs/docs/deploy/deploy-jobs.md +++ b/website/docs/docs/deploy/deploy-jobs.md @@ -90,7 +90,7 @@ If you're interested in joining our beta, please fill out our Google Form to [si - **Environment Variables** — Define [environment variables](/docs/build/environment-variables) to customize the behavior of your project when the deploy job runs. - **Target Name** — Define the [target name](/docs/build/custom-target-names) to customize the behavior of your project when the deploy job runs. Environment variables and target names are often used interchangeably. - **Run Timeout** — Cancel the deploy job if the run time exceeds the timeout value. - - **Compare changes against ** option — By default, it’s set to **No deferral**. For Deploy jobs, you can select either no deferral, deferral to an environment, or self defer (to the same job). + - **Compare changes against** — By default, it’s set to **No deferral**. Select either **Environment** or **This Job** to let dbt Cloud know what it should compare the changes against. :::info Older versions of dbt Cloud only allow you to defer to a specific job instead of an environment. Deferral to a job compares state against the project code that was run in the deferred job's last successful run. While deferral to an environment is more efficient as dbt Cloud will compare against the project representation (which is stored in the `manifest.json`) of the last successful deploy job run that executed in the deferred environment. By considering _all_ deploy jobs that run in the deferred environment, dbt Cloud will get a more accurate, latest project representation state. From b032b3d7a31a0eb135dc0ec8159523b936f891e2 Mon Sep 17 00:00:00 2001 From: Ly Nguyen <107218380+nghi-ly@users.noreply.github.com> Date: Thu, 7 Sep 2023 10:07:21 -0700 Subject: [PATCH 313/486] Update website/docs/docs/deploy/deploy-jobs.md --- website/docs/docs/deploy/deploy-jobs.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/deploy/deploy-jobs.md b/website/docs/docs/deploy/deploy-jobs.md index 82abcb0548b..ea510827a07 100644 --- a/website/docs/docs/deploy/deploy-jobs.md +++ b/website/docs/docs/deploy/deploy-jobs.md @@ -90,7 +90,7 @@ If you're interested in joining our beta, please fill out our Google Form to [si - **Environment Variables** — Define [environment variables](/docs/build/environment-variables) to customize the behavior of your project when the deploy job runs. - **Target Name** — Define the [target name](/docs/build/custom-target-names) to customize the behavior of your project when the deploy job runs. Environment variables and target names are often used interchangeably. - **Run Timeout** — Cancel the deploy job if the run time exceeds the timeout value. - - **Compare changes against** — By default, it’s set to **No deferral**. Select either **Environment** or **This Job** to let dbt Cloud know what it should compare the changes against. + - **Compare changes against** — By default, it’s set to **No deferral**. Select either **Environment** or **This Job** to let dbt Cloud know what it should compare the changes against. :::info Older versions of dbt Cloud only allow you to defer to a specific job instead of an environment. Deferral to a job compares state against the project code that was run in the deferred job's last successful run. While deferral to an environment is more efficient as dbt Cloud will compare against the project representation (which is stored in the `manifest.json`) of the last successful deploy job run that executed in the deferred environment. By considering _all_ deploy jobs that run in the deferred environment, dbt Cloud will get a more accurate, latest project representation state. From 421a8bfbc2620c73c3c14ee7900c4e8a68dcd9bb Mon Sep 17 00:00:00 2001 From: Ly Nguyen <107218380+nghi-ly@users.noreply.github.com> Date: Thu, 7 Sep 2023 10:07:47 -0700 Subject: [PATCH 314/486] Update website/docs/docs/deploy/deploy-jobs.md --- website/docs/docs/deploy/deploy-jobs.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/deploy/deploy-jobs.md b/website/docs/docs/deploy/deploy-jobs.md index ea510827a07..56b8400213f 100644 --- a/website/docs/docs/deploy/deploy-jobs.md +++ b/website/docs/docs/deploy/deploy-jobs.md @@ -90,7 +90,7 @@ If you're interested in joining our beta, please fill out our Google Form to [si - **Environment Variables** — Define [environment variables](/docs/build/environment-variables) to customize the behavior of your project when the deploy job runs. - **Target Name** — Define the [target name](/docs/build/custom-target-names) to customize the behavior of your project when the deploy job runs. Environment variables and target names are often used interchangeably. - **Run Timeout** — Cancel the deploy job if the run time exceeds the timeout value. - - **Compare changes against** — By default, it’s set to **No deferral**. Select either **Environment** or **This Job** to let dbt Cloud know what it should compare the changes against. + - **Compare changes against** — By default, it’s set to **No deferral**. Select either **Environment** or **This Job** to let dbt Cloud know what it should compare the changes against. :::info Older versions of dbt Cloud only allow you to defer to a specific job instead of an environment. Deferral to a job compares state against the project code that was run in the deferred job's last successful run. While deferral to an environment is more efficient as dbt Cloud will compare against the project representation (which is stored in the `manifest.json`) of the last successful deploy job run that executed in the deferred environment. By considering _all_ deploy jobs that run in the deferred environment, dbt Cloud will get a more accurate, latest project representation state. From 5f79405f28db2cf864e93f810ecc98a72a67560d Mon Sep 17 00:00:00 2001 From: allie dukuze Date: Thu, 7 Sep 2023 12:52:56 -0700 Subject: [PATCH 315/486] adding whitespace --- website/docs/docs/cloud/secure/ip-restrictions.md | 1 + 1 file changed, 1 insertion(+) diff --git a/website/docs/docs/cloud/secure/ip-restrictions.md b/website/docs/docs/cloud/secure/ip-restrictions.md index ba5fb32bdfc..4ff1e312a05 100644 --- a/website/docs/docs/cloud/secure/ip-restrictions.md +++ b/website/docs/docs/cloud/secure/ip-restrictions.md @@ -20,6 +20,7 @@ To configure IP restrictions, go to **Account Settings** → **IP Restrictions** - Allow only VPN traffic but make an exception for contractors’ IP addresses IP restrictions will block all service tokens, user requests done via the API (via personal user token), and the UI. + ### Allowing IPs To add an IP to the allowlist, from the **IP Restrictions** page: From 835fadbcdb327825948cd58ca2514376aed06b1a Mon Sep 17 00:00:00 2001 From: Ben Cassell <98852248+benc-db@users.noreply.github.com> Date: Thu, 7 Sep 2023 15:28:06 -0700 Subject: [PATCH 316/486] Update databricks-configs.md to include MV/ST * Expanded configuration table to indicate that we now support all of the main table config options in Python as well as SQL, with the exception of Liquid Clustering, which is not yet part of PySpark. * Added section describing support for materialized_view and streaming_table. --- .../resource-configs/databricks-configs.md | 55 ++++++++++++++++--- 1 file changed, 47 insertions(+), 8 deletions(-) diff --git a/website/docs/reference/resource-configs/databricks-configs.md b/website/docs/reference/resource-configs/databricks-configs.md index dc7f0cd53e3..9dfeb9ef32a 100644 --- a/website/docs/reference/resource-configs/databricks-configs.md +++ b/website/docs/reference/resource-configs/databricks-configs.md @@ -7,14 +7,14 @@ id: "databricks-configs" When materializing a model as `table`, you may include several optional configs that are specific to the dbt-databricks plugin, in addition to the standard [model configs](/reference/model-configs). -| Option | Description | Required? | Example | -|---------|------------------------------------------------------------------------------------------------------------------------------------|-------------------------|--------------------------| -| file_format | The file format to use when creating tables (`parquet`, `delta`, `hudi`, `csv`, `json`, `text`, `jdbc`, `orc`, `hive` or `libsvm`). | Optional | `delta`| -| location_root | The created table uses the specified directory to store its data. The table alias is appended to it. | Optional | `/mnt/root` | -| partition_by | Partition the created table by the specified columns. A directory is created for each partition. | Optional | `date_day` | -| liquid_clustered_by | Cluster the created table by the specified columns. Clustering method is based on [Delta's Liquid Clustering feature](https://docs.databricks.com/en/delta/clustering.html). Available since dbt-databricks 1.6.2. | Optional | `date_day` | -| clustered_by | Each partition in the created table will be split into a fixed number of buckets by the specified columns. | Optional | `country_code` | -| buckets | The number of buckets to create while clustering | Required if `clustered_by` is specified | `8` | +| Option | Description | Required? | Model Support | Example | +|---------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------|---------------|----------------| +| file_format | The file format to use when creating tables (`parquet`, `delta`, `hudi`, `csv`, `json`, `text`, `jdbc`, `orc`, `hive` or `libsvm`). | Optional | SQL, Python | `delta` | +| location_root | The created table uses the specified directory to store its data. The table alias is appended to it. | Optional | SQL, Python | `/mnt/root` | +| partition_by | Partition the created table by the specified columns. A directory is created for each partition. | Optional | SQL, Python | `date_day` | +| liquid_clustered_by | Cluster the created table by the specified columns. Clustering method is based on [Delta's Liquid Clustering feature](https://docs.databricks.com/en/delta/clustering.html). Available since dbt-databricks 1.6.2. | Optional | SQL | `date_day` | +| clustered_by | Each partition in the created table will be split into a fixed number of buckets by the specified columns. | Optional | SQL, Python | `country_code` | +| buckets | The number of buckets to create while clustering | Required if `clustered_by` is specified | SQL, Python | `8` | ## Incremental models @@ -281,3 +281,42 @@ snapshots: ``` + + +## Advanced Materializations + +Starting with version 1.6.0, we are rolling out support for [materialized views](https://docs.databricks.com/en/sql/user/materialized-views.html) and [streaming tables](https://docs.databricks.com/en/sql/load-data-streaming-table.html), alternatives to incremental tables that are powered by (Delta Live Tables)[https://docs.databricks.com/en/delta-live-tables/index.html]. +Read their entries [here](https://docs.databricks.com/en/delta-live-tables/index.html#what-are-delta-live-tables-datasets) to understand their use cases. +These features are still in preview, and the support in the dbt-databricks adapter should, for now, be considered experimental. +In order to adopt these materialization strategies, you will need a workspace that is enabled for Unity Catalog and serverless SQL Warehouses. + + + +```sql +{{ config( + materialized = 'materialized_view' + ) }} +``` + + + +or + + + +```sql +{{ config( + materialized = 'streaming_table' + ) }} +``` + + + +When a pre-existing relation of these types is detected, a `REFRESH` [command](https://docs.databricks.com/en/sql/language-manual/sql-ref-syntax-ddl-refresh-full.html) is issued. + +### Limitations + +As mentioned above, support for these materializations should be considered experimental. +At this time we do not support specifying a refresh schedule for these materializations. +Nor do we monitor changes to respect the `on_configuration_change` settings. +Both of these configuration settings are expected to be supported in the near future. From 28140e2a0d73f8de4a806f30a95233428bf6e582 Mon Sep 17 00:00:00 2001 From: Ben Cassell <98852248+benc-db@users.noreply.github.com> Date: Thu, 7 Sep 2023 15:37:34 -0700 Subject: [PATCH 317/486] Small changes to conform better to the style guide. --- .../reference/resource-configs/databricks-configs.md | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/website/docs/reference/resource-configs/databricks-configs.md b/website/docs/reference/resource-configs/databricks-configs.md index 9dfeb9ef32a..d0c050c9aee 100644 --- a/website/docs/reference/resource-configs/databricks-configs.md +++ b/website/docs/reference/resource-configs/databricks-configs.md @@ -287,7 +287,7 @@ snapshots: Starting with version 1.6.0, we are rolling out support for [materialized views](https://docs.databricks.com/en/sql/user/materialized-views.html) and [streaming tables](https://docs.databricks.com/en/sql/load-data-streaming-table.html), alternatives to incremental tables that are powered by (Delta Live Tables)[https://docs.databricks.com/en/delta-live-tables/index.html]. Read their entries [here](https://docs.databricks.com/en/delta-live-tables/index.html#what-are-delta-live-tables-datasets) to understand their use cases. -These features are still in preview, and the support in the dbt-databricks adapter should, for now, be considered experimental. +These features are still in preview, and the support in the dbt-databricks adapter should, for now, be considered _experimental_. In order to adopt these materialization strategies, you will need a workspace that is enabled for Unity Catalog and serverless SQL Warehouses. @@ -317,6 +317,9 @@ When a pre-existing relation of these types is detected, a `REFRESH` [command](h ### Limitations As mentioned above, support for these materializations should be considered experimental. -At this time we do not support specifying a refresh schedule for these materializations. -Nor do we monitor changes to respect the `on_configuration_change` settings. +At this time the following configuration options are not available: + +* Specifying a refresh schedule for these materializations +* Specifying `on_configuration_change` settings. + Both of these configuration settings are expected to be supported in the near future. From 06c8f1f504d664dd130b6418b7bd88341e652b46 Mon Sep 17 00:00:00 2001 From: Ben Cassell <98852248+benc-db@users.noreply.github.com> Date: Thu, 7 Sep 2023 15:44:38 -0700 Subject: [PATCH 318/486] Using more active voice --- .../docs/reference/resource-configs/databricks-configs.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/website/docs/reference/resource-configs/databricks-configs.md b/website/docs/reference/resource-configs/databricks-configs.md index d0c050c9aee..885bc88b2a5 100644 --- a/website/docs/reference/resource-configs/databricks-configs.md +++ b/website/docs/reference/resource-configs/databricks-configs.md @@ -285,7 +285,7 @@ snapshots: ## Advanced Materializations -Starting with version 1.6.0, we are rolling out support for [materialized views](https://docs.databricks.com/en/sql/user/materialized-views.html) and [streaming tables](https://docs.databricks.com/en/sql/load-data-streaming-table.html), alternatives to incremental tables that are powered by (Delta Live Tables)[https://docs.databricks.com/en/delta-live-tables/index.html]. +Starting with version 1.6.0, the dbt-databricks adapter supports [materialized views](https://docs.databricks.com/en/sql/user/materialized-views.html) and [streaming tables](https://docs.databricks.com/en/sql/load-data-streaming-table.html), as alternatives to incremental tables that are powered by (Delta Live Tables)[https://docs.databricks.com/en/delta-live-tables/index.html]. Read their entries [here](https://docs.databricks.com/en/delta-live-tables/index.html#what-are-delta-live-tables-datasets) to understand their use cases. These features are still in preview, and the support in the dbt-databricks adapter should, for now, be considered _experimental_. In order to adopt these materialization strategies, you will need a workspace that is enabled for Unity Catalog and serverless SQL Warehouses. @@ -312,14 +312,14 @@ or -When a pre-existing relation of these types is detected, a `REFRESH` [command](https://docs.databricks.com/en/sql/language-manual/sql-ref-syntax-ddl-refresh-full.html) is issued. +When dbt detects a pre-existing relation of one of these types, it issues a `REFRESH` [command](https://docs.databricks.com/en/sql/language-manual/sql-ref-syntax-ddl-refresh-full.html). ### Limitations -As mentioned above, support for these materializations should be considered experimental. +As mentioned above, support for these materializations in the Databricks adapter is still limited. At this time the following configuration options are not available: * Specifying a refresh schedule for these materializations * Specifying `on_configuration_change` settings. -Both of these configuration settings are expected to be supported in the near future. +These configuration settings will be supported in the near future. From ba10bed55211987ce5378ea5d6aaa19a9977812b Mon Sep 17 00:00:00 2001 From: Ben Cassell <98852248+benc-db@users.noreply.github.com> Date: Thu, 7 Sep 2023 15:48:28 -0700 Subject: [PATCH 319/486] Be clearer about a link destination --- website/docs/reference/resource-configs/databricks-configs.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/reference/resource-configs/databricks-configs.md b/website/docs/reference/resource-configs/databricks-configs.md index 885bc88b2a5..6518a316652 100644 --- a/website/docs/reference/resource-configs/databricks-configs.md +++ b/website/docs/reference/resource-configs/databricks-configs.md @@ -286,7 +286,7 @@ snapshots: ## Advanced Materializations Starting with version 1.6.0, the dbt-databricks adapter supports [materialized views](https://docs.databricks.com/en/sql/user/materialized-views.html) and [streaming tables](https://docs.databricks.com/en/sql/load-data-streaming-table.html), as alternatives to incremental tables that are powered by (Delta Live Tables)[https://docs.databricks.com/en/delta-live-tables/index.html]. -Read their entries [here](https://docs.databricks.com/en/delta-live-tables/index.html#what-are-delta-live-tables-datasets) to understand their use cases. +Read their entries in the [Delta Live Tables documentation site](https://docs.databricks.com/en/delta-live-tables/index.html#what-are-delta-live-tables-datasets) to understand their use cases. These features are still in preview, and the support in the dbt-databricks adapter should, for now, be considered _experimental_. In order to adopt these materialization strategies, you will need a workspace that is enabled for Unity Catalog and serverless SQL Warehouses. From 6c37321bc76a33b6a759b13c76606ae23df8ac8f Mon Sep 17 00:00:00 2001 From: Ly Nguyen Date: Thu, 7 Sep 2023 16:41:19 -0700 Subject: [PATCH 320/486] Add API triggers for CI jobs --- website/docs/docs/deploy/ci-jobs.md | 37 ++++++++++++++++++++++------- 1 file changed, 29 insertions(+), 8 deletions(-) diff --git a/website/docs/docs/deploy/ci-jobs.md b/website/docs/docs/deploy/ci-jobs.md index 74a39dd7828..2e532493bd1 100644 --- a/website/docs/docs/deploy/ci-jobs.md +++ b/website/docs/docs/deploy/ci-jobs.md @@ -4,7 +4,7 @@ sidebar_label: "CI jobs" description: "Learn how to create and set up CI checks to test code changes before deploying to production." --- -You can set up [continuous integration](/docs/deploy/continuous-integration) (CI) jobs to run when someone opens a new pull request in your dbt repository. By running and testing only _modified_ models, dbt Cloud ensures these jobs are as efficient and resource conscientious as possible on your data platform. +You can set up [continuous integration](/docs/deploy/continuous-integration) (CI) jobs to run when someone opens a new pull request (PR) in your dbt repository. By running and testing only _modified_ models, dbt Cloud ensures these jobs are as efficient and resource conscientious as possible on your data platform. :::tip Join our beta @@ -14,18 +14,18 @@ If you're interested in joining our beta, please fill out our Google Form to [si ::: -## Prerequisites - -- You have a dbt Cloud account. - - For the [Concurrent CI checks](/docs/deploy/continuous-integration#concurrent-ci-checks) and [Smart cancellation of stale builds](/docs/deploy/continuous-integration#smart-cancellation) features, your account must be on the [Team or Enterprise plan](https://www.getdbt.com/pricing/). -- You must be connected using dbt Cloud’s native integration with [GitHub account](/docs/cloud/git/connect-github), [GitLab account](/docs/cloud/git/connect-gitlab), or [Azure DevOps account](/docs/cloud/git/connect-azure-devops). - - If you’re using GitLab, you must use a paid or self-hosted account which includes support for GitLab webhooks. - - If you previously configured your dbt project by providing a generic git URL that clones using SSH, you must reconfigure the project to connect through dbt Cloud's native integration. ## Set up CI jobs {#set-up-ci-jobs} dbt Labs recommends that you create your CI job in a dedicated dbt Cloud [deployment environment](/docs/deploy/deploy-environments#create-a-deployment-environment) that's connected to a staging database. Having a separate environment dedicated for CI will provide better isolation between your temporary CI schema builds and your production data builds. Additionally, sometimes teams need their CI jobs to be triggered when a PR is made to a branch other than main. If your team maintains a staging branch as part of your release process, having a separate environment will allow you to set a [custom branch](/faqs/environments/custom-branch-settings) and, accordingly, the CI job in that dedicated environment will be triggered only when PRs are made to the specified custom branch. To learn more, refer to [Get started with CI tests](/guides/orchestration/set-up-ci/overview). +### Prerequisites +- You have a dbt Cloud account. +- For the [Concurrent CI checks](/docs/deploy/continuous-integration#concurrent-ci-checks) and [Smart cancellation of stale builds](/docs/deploy/continuous-integration#smart-cancellation) features, your dbt Cloud account must be on the [Team or Enterprise plan](https://www.getdbt.com/pricing/). +- You must be connected using dbt Cloud’s native Git integration with [GitHub](/docs/cloud/git/connect-github), [GitLab](/docs/cloud/git/connect-gitlab), or [Azure DevOps](/docs/cloud/git/connect-azure-devops). + - If you’re using GitLab, you must use a paid or self-hosted account which includes support for GitLab webhooks. + - If you previously configured your dbt project by providing a generic git URL that clones using SSH, you must reconfigure the project to connect through dbt Cloud's native integration. + @@ -79,6 +79,26 @@ To make CI job creation easier, many options on the **CI job** page are set to d + +## Trigger a CI job with the API + +If you're not using dbt Cloud’s native Git integration with [GitHub](/docs/cloud/git/connect-github), [GitLab](/docs/cloud/git/connect-gitlab), or [Azure DevOps](/docs/cloud/git/connect-azure-devops), you can use the [Administrative API](/docs/dbt-cloud-apis/admin-cloud-api) to trigger a CI job to run. However, dbt Cloud will not automatically delete the temporary schema for you. This is because automatic deletion relies on incoming webhooks from Git providers, which is only available through the native integrations. + +### Prerequisites + +- You have a dbt Cloud account. +- For the [Concurrent CI checks](/docs/deploy/continuous-integration#concurrent-ci-checks) and [Smart cancellation of stale builds](/docs/deploy/continuous-integration#smart-cancellation) features, your dbt Cloud account must be on the [Team or Enterprise plan](https://www.getdbt.com/pricing/). + + +1. Set up a CI job with the [Create Job](/dbt-cloud/api-v2#/operations/Create%20Job) API endpoint using `"job_type": ci` or from the [dbt Cloud UI](#set-up-ci-jobs). +1. To trigger the CI job, make a call to the [Trigger Job Run](/dbt-cloud/api-v2#/operations/Trigger%20Job%20Run) API endpoint. Provide the pull request (PR) ID to the payload using one of these fields, even if you're using a different Git provider (like Bitbucket): + + - `github_pull_request_id` + - `gitlab_merge_request_id` + - `azure_devops_pull_request_id`  + + This can make your code less human-readable but it will _not_ affect dbt functionality. + ## Example pull requests The green checkmark means the dbt build and tests were successful. Clicking on the dbt Cloud section navigates you to the relevant CI run in dbt Cloud. @@ -112,6 +132,7 @@ If you're experiencing any issues, review some of the common questions and answe Confirm that you'd like to disconnect your repository. You should then see a new Configure a repository link in your old repository's place. Click through to the configuration page:



+ Select the GitHub, GitLab, or AzureDevOps tab and reselect your repository. That should complete the setup of the project and enable you to set up a dbt Cloud CI job.
From eb27b39a7c7759849b5c3d3f17726ec36805fabc Mon Sep 17 00:00:00 2001 From: Doug Beatty <44704949+dbeatty10@users.noreply.github.com> Date: Thu, 7 Sep 2023 18:04:38 -0600 Subject: [PATCH 321/486] Remove-1.6 from future releases table --- website/snippets/core-versions-table.md | 1 - 1 file changed, 1 deletion(-) diff --git a/website/snippets/core-versions-table.md b/website/snippets/core-versions-table.md index fb2e2a5d60e..5832f9f14c3 100644 --- a/website/snippets/core-versions-table.md +++ b/website/snippets/core-versions-table.md @@ -17,7 +17,6 @@ _Future release dates are tentative and subject to change._ | dbt Core | Planned Release | Critical & dbt Cloud Support Until | |----------|-----------------|-------------------------------------| -| **v1.6** | _July 2023_ | _July 2024_ | | **v1.7** | _Oct 2023_ | _Oct 2024_ | | **v1.8** | _Jan 2024_ | _Jan 2025_ | | **v1.9** | _Apr 2024_ | _Apr 2025_ | From 875a43b7b4bf277a76fbb473b49c2d2acf57ce6f Mon Sep 17 00:00:00 2001 From: Jeremy Cohen Date: Fri, 8 Sep 2023 12:20:07 +0200 Subject: [PATCH 322/486] Update use cases for 'local' packages --- website/docs/docs/build/packages.md | 23 ++++++++++++++++++++--- 1 file changed, 20 insertions(+), 3 deletions(-) diff --git a/website/docs/docs/build/packages.md b/website/docs/docs/build/packages.md index d4cebc7a6f0..fd3ebebfac0 100644 --- a/website/docs/docs/build/packages.md +++ b/website/docs/docs/build/packages.md @@ -284,18 +284,35 @@ packages: ### Local packages -Packages that you have stored locally can be installed by specifying the path to the project, like so: +A "local" package is another dbt project that you have access to from within the local file system. It can be installed by specifying the path to the project. The best-supported pattern is when the project is nested within a subdirectory, relative to the current project's directory. ```yaml packages: - - local: /opt/dbt/redshift # use a local path + - local: relative/path/to/subdirectory ``` -Local packages should only be used for specific situations, for example, when testing local changes to a package. +Other patterns may work in some cases, but not always. For example, if you install this project as a package elsewhere, or try running it on a different system, the relative and absolute paths will yield the same results. + + + +```yaml +packages: + # not recommended - these support for these patterns vary + - local: /../../redshift # relative path to a parent directory + - local: /opt/dbt/redshift # absolute path on the system +``` + + + +As such, there are a few specific use cases where a "local" package is recommended: +1. A monorepo containing multiple projects, each nested in a subdirectory. "Local" packages enable combining projects together, for coordinated development and deployment. +2. Testing changes to one project/package within the context of a downstream project/package that uses it. By temporarily switching the installation to a "local" package, you can make changes to the former and immediately test them in the latter, enabling quicker iteration. This is similar to [editable installs](https://pip.pypa.io/en/stable/topics/local-project-installs/) in Python. +3. A nested project that defines fixtures and tests for a project of utility macros — for example, [the integration tests within the `dbt-utils` package](https://github.com/dbt-labs/dbt-utils/tree/main/integration_tests) + ## What packages are available? Check out [dbt Hub](https://hub.getdbt.com) to see the library of published dbt packages! From 768dbd7def72a363214344edd566351ab5cbda18 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Fri, 8 Sep 2023 13:27:15 +0100 Subject: [PATCH 323/486] Update website/docs/docs/build/packages.md --- website/docs/docs/build/packages.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/build/packages.md b/website/docs/docs/build/packages.md index fd3ebebfac0..3f24e10bdfe 100644 --- a/website/docs/docs/build/packages.md +++ b/website/docs/docs/build/packages.md @@ -284,7 +284,7 @@ packages: ### Local packages -A "local" package is another dbt project that you have access to from within the local file system. It can be installed by specifying the path to the project. The best-supported pattern is when the project is nested within a subdirectory, relative to the current project's directory. +A "local" package is a dbt project accessible from your local file system. You can install it by specifying the project's path. It works best when you nest the project within a subdirectory relative to your current project's directory. From 696f025dc541eae36c79481e93131ec27e2dfd45 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Fri, 8 Sep 2023 13:27:30 +0100 Subject: [PATCH 324/486] Update website/docs/docs/build/packages.md --- website/docs/docs/build/packages.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/build/packages.md b/website/docs/docs/build/packages.md index 3f24e10bdfe..833dbfcee63 100644 --- a/website/docs/docs/build/packages.md +++ b/website/docs/docs/build/packages.md @@ -301,7 +301,7 @@ Other patterns may work in some cases, but not always. For example, if you insta ```yaml packages: - # not recommended - these support for these patterns vary + # not recommended - the support for these patterns vary - local: /../../redshift # relative path to a parent directory - local: /opt/dbt/redshift # absolute path on the system ``` From d31edceca2ff8b7ebc294de63a7504fa6ba47be6 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Fri, 8 Sep 2023 13:27:42 +0100 Subject: [PATCH 325/486] Update website/docs/docs/build/packages.md --- website/docs/docs/build/packages.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/build/packages.md b/website/docs/docs/build/packages.md index 833dbfcee63..851e898d5bd 100644 --- a/website/docs/docs/build/packages.md +++ b/website/docs/docs/build/packages.md @@ -308,7 +308,7 @@ packages: -As such, there are a few specific use cases where a "local" package is recommended: +There are a few specific use cases where we recommend using a "local" package: 1. A monorepo containing multiple projects, each nested in a subdirectory. "Local" packages enable combining projects together, for coordinated development and deployment. 2. Testing changes to one project/package within the context of a downstream project/package that uses it. By temporarily switching the installation to a "local" package, you can make changes to the former and immediately test them in the latter, enabling quicker iteration. This is similar to [editable installs](https://pip.pypa.io/en/stable/topics/local-project-installs/) in Python. 3. A nested project that defines fixtures and tests for a project of utility macros — for example, [the integration tests within the `dbt-utils` package](https://github.com/dbt-labs/dbt-utils/tree/main/integration_tests) From 495b3ace5de4b909e2c8c79e2601426b1ba75a2d Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Fri, 8 Sep 2023 13:27:49 +0100 Subject: [PATCH 326/486] Update website/docs/docs/build/packages.md --- website/docs/docs/build/packages.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/build/packages.md b/website/docs/docs/build/packages.md index 851e898d5bd..c8f980e45f2 100644 --- a/website/docs/docs/build/packages.md +++ b/website/docs/docs/build/packages.md @@ -309,7 +309,7 @@ packages: There are a few specific use cases where we recommend using a "local" package: -1. A monorepo containing multiple projects, each nested in a subdirectory. "Local" packages enable combining projects together, for coordinated development and deployment. +1. **Monorepo** — When you have multiple projects, each nested in a subdirectory, within a monorepo. "Local" packages allow you to combine projects for coordinated development and deployment. 2. Testing changes to one project/package within the context of a downstream project/package that uses it. By temporarily switching the installation to a "local" package, you can make changes to the former and immediately test them in the latter, enabling quicker iteration. This is similar to [editable installs](https://pip.pypa.io/en/stable/topics/local-project-installs/) in Python. 3. A nested project that defines fixtures and tests for a project of utility macros — for example, [the integration tests within the `dbt-utils` package](https://github.com/dbt-labs/dbt-utils/tree/main/integration_tests) From 6fbb7dbfdd7a9806a5cd3308e6181fd8c613ac54 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Fri, 8 Sep 2023 13:27:56 +0100 Subject: [PATCH 327/486] Update website/docs/docs/build/packages.md --- website/docs/docs/build/packages.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/build/packages.md b/website/docs/docs/build/packages.md index c8f980e45f2..12ae7d916ca 100644 --- a/website/docs/docs/build/packages.md +++ b/website/docs/docs/build/packages.md @@ -311,7 +311,7 @@ packages: There are a few specific use cases where we recommend using a "local" package: 1. **Monorepo** — When you have multiple projects, each nested in a subdirectory, within a monorepo. "Local" packages allow you to combine projects for coordinated development and deployment. 2. Testing changes to one project/package within the context of a downstream project/package that uses it. By temporarily switching the installation to a "local" package, you can make changes to the former and immediately test them in the latter, enabling quicker iteration. This is similar to [editable installs](https://pip.pypa.io/en/stable/topics/local-project-installs/) in Python. -3. A nested project that defines fixtures and tests for a project of utility macros — for example, [the integration tests within the `dbt-utils` package](https://github.com/dbt-labs/dbt-utils/tree/main/integration_tests) +3. **Nested project** — When you have a nested project that defines fixtures and tests for a project of utility macros, like [the integration tests within the `dbt-utils` package](https://github.com/dbt-labs/dbt-utils/tree/main/integration_tests). ## What packages are available? From 6e522feb2959d961cc4b5f7a0bf8c67bc754642d Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Fri, 8 Sep 2023 13:28:01 +0100 Subject: [PATCH 328/486] Update website/docs/docs/build/packages.md --- website/docs/docs/build/packages.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/build/packages.md b/website/docs/docs/build/packages.md index 12ae7d916ca..4d0bfd808a1 100644 --- a/website/docs/docs/build/packages.md +++ b/website/docs/docs/build/packages.md @@ -310,7 +310,7 @@ packages: There are a few specific use cases where we recommend using a "local" package: 1. **Monorepo** — When you have multiple projects, each nested in a subdirectory, within a monorepo. "Local" packages allow you to combine projects for coordinated development and deployment. -2. Testing changes to one project/package within the context of a downstream project/package that uses it. By temporarily switching the installation to a "local" package, you can make changes to the former and immediately test them in the latter, enabling quicker iteration. This is similar to [editable installs](https://pip.pypa.io/en/stable/topics/local-project-installs/) in Python. +2. **Testing changes** — To test changes in one project or package within the context of a downstream project or package that uses it. By temporarily switching the installation to a "local" package, you can make changes to the former and immediately test them in the latter for quicker iteration. This is similar to [editable installs](https://pip.pypa.io/en/stable/topics/local-project-installs/) in Python. 3. **Nested project** — When you have a nested project that defines fixtures and tests for a project of utility macros, like [the integration tests within the `dbt-utils` package](https://github.com/dbt-labs/dbt-utils/tree/main/integration_tests). From 9d4f4912e0c6fabf598b7a931a93eec4ea336b00 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Fri, 8 Sep 2023 13:28:15 +0100 Subject: [PATCH 329/486] Update website/docs/docs/build/packages.md --- website/docs/docs/build/packages.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/build/packages.md b/website/docs/docs/build/packages.md index 4d0bfd808a1..97e8784416e 100644 --- a/website/docs/docs/build/packages.md +++ b/website/docs/docs/build/packages.md @@ -301,7 +301,7 @@ Other patterns may work in some cases, but not always. For example, if you insta ```yaml packages: - # not recommended - the support for these patterns vary + # not recommended - support for these patterns vary - local: /../../redshift # relative path to a parent directory - local: /opt/dbt/redshift # absolute path on the system ``` From 0bdfbd5b29b75da4ea3acbbc1d7e0aac866bba90 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Fri, 8 Sep 2023 16:37:45 +0100 Subject: [PATCH 330/486] Update builtins.md adding 1.5+ and <=v1.5 versioning and macro explaining for ref maco --- .../reference/dbt-jinja-functions/builtins.md | 34 ++++++++++++++++++- 1 file changed, 33 insertions(+), 1 deletion(-) diff --git a/website/docs/reference/dbt-jinja-functions/builtins.md b/website/docs/reference/dbt-jinja-functions/builtins.md index 40848705dc4..c37a46365d6 100644 --- a/website/docs/reference/dbt-jinja-functions/builtins.md +++ b/website/docs/reference/dbt-jinja-functions/builtins.md @@ -15,7 +15,38 @@ The `builtins` variable is a dictionary containing the following keys: ## Usage -The following macro overrides the `ref` method available in the model compilation context to return a [Relation](/reference/dbt-classes#relation) with the database name overriden to `dev`. + + +The following macro extracts user-provided arguments, including `version`, and calls the `builtins.ref()` function with either a single `modelname` argument or both `packagename` and `modelname` arguments, based on the number of positional arguments in `varargs`: + +``` +{% macro ref() %} + +-- extract user-provided positional and keyword arguments +{% set version = kwargs.get('version') %} +{% set packagename = none %} +{%- if (varargs | length) == 1 -%} + {% set modelname = varargs[0] %} +{%- else -%} + {% set packagename = varargs[0] %} + {% set modelname = varargs[1] %} +{% endif %} + +-- call builtins.ref based on provided positional arguments +{% if packagename is not none %} + {% do return(builtins.ref(packagename, modelname, version=version)) %} +{% else %} + {% do return(builtins.ref(modelname, version=version)) %} +{% endif %} + +{% endmacro %} +``` + + + + + +The following macro overrides the `ref` method available in the model compilation context to return a [Relation](/reference/dbt-classes#relation) with the database name overriden to `dev`: ``` {% macro ref(model_name) %} @@ -26,6 +57,7 @@ The following macro overrides the `ref` method available in the model compilatio {% endmacro %} ``` + The ref macro can also be used to control which elements of the model path are rendered when run, for example the following macro overrides the `ref` method to render only the schema and object identifier, but not the database reference i.e. `my_schema.my_model` rather than `my_database.my_schema.my_model`. This is especially useful when using snowflake as a warehouse, if you intend to change the name of the database post-build and wish the references to remain accurate. From efd22fb11f169150c0e058d283d79ba0f5764be8 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Fri, 8 Sep 2023 16:41:34 +0100 Subject: [PATCH 331/486] Update builtins.md --- website/docs/reference/dbt-jinja-functions/builtins.md | 1 - 1 file changed, 1 deletion(-) diff --git a/website/docs/reference/dbt-jinja-functions/builtins.md b/website/docs/reference/dbt-jinja-functions/builtins.md index c37a46365d6..17dcf679541 100644 --- a/website/docs/reference/dbt-jinja-functions/builtins.md +++ b/website/docs/reference/dbt-jinja-functions/builtins.md @@ -41,7 +41,6 @@ The following macro extracts user-provided arguments, including `version`, and c {% endmacro %} ``` - From 5d7c98abce6055d4e0268be977a6ba76744695e5 Mon Sep 17 00:00:00 2001 From: Ly Nguyen Date: Fri, 8 Sep 2023 09:49:26 -0700 Subject: [PATCH 332/486] Release notes for CI updates phase 2 --- .../04-Sept-2023/ci-updates-phase2-rn.md | 25 +++++++++++++++++++ 1 file changed, 25 insertions(+) create mode 100644 website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md diff --git a/website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md b/website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md new file mode 100644 index 00000000000..304252846c4 --- /dev/null +++ b/website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md @@ -0,0 +1,25 @@ +--- +title: "Update: Improvements to dbt Cloud continuous integration" +description: "September 2023: dbt Cloud now has two types of jobs — deploy jobs and CI jobs — with streamlined setup and improved efficiency. " +sidebar_label: "Update: Improvements to dbt jobs" +tags: [Sept-2023, CI] +date: 2023-09-11 +sidebar_position: 10 +--- + +dbt Labs have separated out [deploy jobs](/docs/deploy/deploy-jobs), used to build production data assets, and [CI jobs](/docs/deploy/ci-jobs), used to check code changes, into two distinct types of jobs. These jobs perform fundamentally different tasks, and we’ve been improving the experience of both for you to have better fit for purpose tools. + +Since there are now two types of jobs, instead of one generic type, we can better guide you through the setup flow. Best practices are built into the default settings so you can go from curious to being set up in seconds. + +And, we now have more efficient state comparisons on CI checks: Never waste a build or test on code that hasn’t been changed. We now diff between the PR code and what’s running in production more efficiently, with the introduction of deferral to an environment versus a job. To learn more, refer to [Continuous integration in dbt Cloud](/docs/deploy/continuous-integration). + +Below is a comparison table that describes how deploy jobs and CI jobs behave differently: + +| | Deploy Jobs | CI Jobs | +| --- | --- | --- | +| Purpose | Builds production data assets. | Builds and tests new code before merging changes into production. | +| Trigger types | Triggered by a schedule or by API. | Triggered by a webhook from a commit to a PR or by API. | +| Destination | Builds into a production database and schema. | Builds into a staging database and ephemeral schema, lived for the lifetime of the PR. | +| Execution mode | Runs execute sequentially, so as to not have collisions on the underlying DAG. | Runs execute in parallel to promote team velocity. | +| Efficiency run savings | Detects over-scheduled jobs and cancels unnecessary runs to avoid queue clog. | Cancels runs when an in-flight run becomes stale when a new commit is pushed to the pull request. | +| State comparison | Only sometimes needs to detect state. | Almost always needs to compare state against the production environment to build on modified code and its dependents. | From fc1e487621c329ea14d47a0a8733332feb84b0cf Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Fri, 8 Sep 2023 15:31:02 -0400 Subject: [PATCH 333/486] Update website/docs/docs/core/connect-data-platform/spark-setup.md --- website/docs/docs/core/connect-data-platform/spark-setup.md | 1 - 1 file changed, 1 deletion(-) diff --git a/website/docs/docs/core/connect-data-platform/spark-setup.md b/website/docs/docs/core/connect-data-platform/spark-setup.md index 5d74a932c45..b22416fd3a5 100644 --- a/website/docs/docs/core/connect-data-platform/spark-setup.md +++ b/website/docs/docs/core/connect-data-platform/spark-setup.md @@ -230,7 +230,6 @@ connect_retries: 3 - ### Server side configuration From 2869a9de133ba56831ea4466ad52c50ee4c1ddeb Mon Sep 17 00:00:00 2001 From: "Leona B. Campbell" <3880403+runleonarun@users.noreply.github.com> Date: Fri, 8 Sep 2023 12:33:19 -0700 Subject: [PATCH 334/486] Update ref.md (#4052) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## What are you changing in this pull request and why? Adding that you need to set cross project dependencies when using 2 arguments with projects. Per feedback from @b-per 🙇🏻 Co-authored-by: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> --- website/docs/reference/dbt-jinja-functions/ref.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/reference/dbt-jinja-functions/ref.md b/website/docs/reference/dbt-jinja-functions/ref.md index b9b14bed42a..6df06a2f415 100644 --- a/website/docs/reference/dbt-jinja-functions/ref.md +++ b/website/docs/reference/dbt-jinja-functions/ref.md @@ -69,7 +69,7 @@ select * from {{ ref('model_name') }} ### Two-argument variant -There is also a two-argument variant of the `ref` function. With this variant, you can pass both a namespace (project or package) and model name to `ref` to avoid ambiguity. +You can also use a two-argument variant of the `ref` function. With this variant, you can pass both a namespace (project or package) and model name to `ref` to avoid ambiguity. When using two arguments with projects (not packages), you also need to set [cross project dependencies](/docs/collaborate/govern/project-dependencies). ```sql select * from {{ ref('project_or_package', 'model_name') }} From 82ed4eab6fa9735d6062eeb01a125c25f6f8f2a8 Mon Sep 17 00:00:00 2001 From: Alex Python Date: Fri, 8 Sep 2023 16:10:45 -0400 Subject: [PATCH 335/486] Update Databricks Section of grants.md Add bullet point for Databricks specific grants that aren't supported by dbt grants --- website/docs/reference/resource-configs/grants.md | 1 + 1 file changed, 1 insertion(+) diff --git a/website/docs/reference/resource-configs/grants.md b/website/docs/reference/resource-configs/grants.md index 68d1e6eb14e..3a65672fa5e 100644 --- a/website/docs/reference/resource-configs/grants.md +++ b/website/docs/reference/resource-configs/grants.md @@ -243,6 +243,7 @@ models: - Databricks automatically enables `grants` on SQL endpoints. For interactive clusters, admins should enable grant functionality using these two setup steps in the Databricks documentation: - [Enable table access control for your workspace](https://docs.databricks.com/administration-guide/access-control/table-acl.html) - [Enable table access control for a cluster](https://docs.databricks.com/security/access-control/table-acls/table-acl.html) +- In order to grant `READ_METADATA` or `USAGE`, use [post-hooks](https://docs.getdbt.com/reference/resource-configs/pre-hook-post-hook)
From aff0b9e4b32858aa51b33e22b896543760991085 Mon Sep 17 00:00:00 2001 From: Ly Nguyen <107218380+nghi-ly@users.noreply.github.com> Date: Fri, 8 Sep 2023 15:17:27 -0700 Subject: [PATCH 336/486] Update website/docs/docs/deploy/ci-jobs.md Co-authored-by: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> --- website/docs/docs/deploy/ci-jobs.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/deploy/ci-jobs.md b/website/docs/docs/deploy/ci-jobs.md index 2e532493bd1..8a87310e67f 100644 --- a/website/docs/docs/deploy/ci-jobs.md +++ b/website/docs/docs/deploy/ci-jobs.md @@ -91,7 +91,7 @@ If you're not using dbt Cloud’s native Git integration with [GitHub](/docs/cl 1. Set up a CI job with the [Create Job](/dbt-cloud/api-v2#/operations/Create%20Job) API endpoint using `"job_type": ci` or from the [dbt Cloud UI](#set-up-ci-jobs). -1. To trigger the CI job, make a call to the [Trigger Job Run](/dbt-cloud/api-v2#/operations/Trigger%20Job%20Run) API endpoint. Provide the pull request (PR) ID to the payload using one of these fields, even if you're using a different Git provider (like Bitbucket): +1. Call the [Trigger Job Run](/dbt-cloud/api-v2#/operations/Trigger%20Job%20Run) API endpoint to trigger the CI job. Provide the pull request (PR) ID to the payload using one of these fields, even if you're using a different Git provider (like Bitbucket): - `github_pull_request_id` - `gitlab_merge_request_id` From 02f18ca697e4358bb3a0b599c6ad5148c3efa0f3 Mon Sep 17 00:00:00 2001 From: Ly Nguyen <107218380+nghi-ly@users.noreply.github.com> Date: Fri, 8 Sep 2023 15:19:34 -0700 Subject: [PATCH 337/486] Update website/docs/docs/deploy/ci-jobs.md --- website/docs/docs/deploy/ci-jobs.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/deploy/ci-jobs.md b/website/docs/docs/deploy/ci-jobs.md index 8a87310e67f..db1a87ba5f7 100644 --- a/website/docs/docs/deploy/ci-jobs.md +++ b/website/docs/docs/deploy/ci-jobs.md @@ -4,7 +4,7 @@ sidebar_label: "CI jobs" description: "Learn how to create and set up CI checks to test code changes before deploying to production." --- -You can set up [continuous integration](/docs/deploy/continuous-integration) (CI) jobs to run when someone opens a new pull request (PR) in your dbt repository. By running and testing only _modified_ models, dbt Cloud ensures these jobs are as efficient and resource conscientious as possible on your data platform. +You can set up [continuous integration](/docs/deploy/continuous-integration) (CI) jobs to run when someone opens a new pull request (PR) in your dbt Git repository. By running and testing only _modified_ models, dbt Cloud ensures these jobs are as efficient and resource conscientious as possible on your data platform. :::tip Join our beta From 2b54b817bd2adae6ac49bf0bf7eba05b54126ee6 Mon Sep 17 00:00:00 2001 From: Ben Cassell <98852248+benc-db@users.noreply.github.com> Date: Fri, 8 Sep 2023 16:18:41 -0700 Subject: [PATCH 338/486] Apply suggestions from code review Co-authored-by: Anders --- .../docs/reference/resource-configs/databricks-configs.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/website/docs/reference/resource-configs/databricks-configs.md b/website/docs/reference/resource-configs/databricks-configs.md index 6518a316652..bb987d5352b 100644 --- a/website/docs/reference/resource-configs/databricks-configs.md +++ b/website/docs/reference/resource-configs/databricks-configs.md @@ -283,10 +283,10 @@ snapshots: -## Advanced Materializations +## Materialized views and streaming stables -Starting with version 1.6.0, the dbt-databricks adapter supports [materialized views](https://docs.databricks.com/en/sql/user/materialized-views.html) and [streaming tables](https://docs.databricks.com/en/sql/load-data-streaming-table.html), as alternatives to incremental tables that are powered by (Delta Live Tables)[https://docs.databricks.com/en/delta-live-tables/index.html]. -Read their entries in the [Delta Live Tables documentation site](https://docs.databricks.com/en/delta-live-tables/index.html#what-are-delta-live-tables-datasets) to understand their use cases. +Starting with version 1.6.0, the dbt-databricks adapter supports [materialized views](https://docs.databricks.com/en/sql/user/materialized-views.html) and [streaming tables](https://docs.databricks.com/en/sql/load-data-streaming-table.html), as alternatives to incremental tables that are powered by [Delta Live Tables](https://docs.databricks.com/en/delta-live-tables/index.html). +See [What are Delta Live Tables?](https://docs.databricks.com/en/delta-live-tables/index.html#what-are-delta-live-tables-datasets) for more information and use cases. These features are still in preview, and the support in the dbt-databricks adapter should, for now, be considered _experimental_. In order to adopt these materialization strategies, you will need a workspace that is enabled for Unity Catalog and serverless SQL Warehouses. From ed8b3ae520b209dbb5c51109e5ff7b7f3f24dd11 Mon Sep 17 00:00:00 2001 From: stavhaco Date: Sat, 9 Sep 2023 22:46:59 +0300 Subject: [PATCH 339/486] fix cte query does not referencing the right name --- website/docs/reference/resource-configs/databricks-configs.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/reference/resource-configs/databricks-configs.md b/website/docs/reference/resource-configs/databricks-configs.md index dc7f0cd53e3..31dcc827741 100644 --- a/website/docs/reference/resource-configs/databricks-configs.md +++ b/website/docs/reference/resource-configs/databricks-configs.md @@ -121,7 +121,7 @@ select date_day, count(*) as users -from events +from new_events group by 1 ``` From 4eea835c0caebea3ebb489e3f95d28d08f4ad382 Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Mon, 11 Sep 2023 10:51:32 +0100 Subject: [PATCH 340/486] add jinja.ext.do --- .../reference/dbt-jinja-functions/builtins.md | 22 ++++++++++--------- 1 file changed, 12 insertions(+), 10 deletions(-) diff --git a/website/docs/reference/dbt-jinja-functions/builtins.md b/website/docs/reference/dbt-jinja-functions/builtins.md index 17dcf679541..9fa1ac46120 100644 --- a/website/docs/reference/dbt-jinja-functions/builtins.md +++ b/website/docs/reference/dbt-jinja-functions/builtins.md @@ -17,21 +17,22 @@ The `builtins` variable is a dictionary containing the following keys: -The following macro extracts user-provided arguments, including `version`, and calls the `builtins.ref()` function with either a single `modelname` argument or both `packagename` and `modelname` arguments, based on the number of positional arguments in `varargs`: +From dbt v1.6 and higher, use the following macro to extract user-provided arguments, including version, and call the builtins.ref() function with either a single modelname argument or both packagename and modelname arguments, based on the number of positional arguments in varargs : + -``` -{% macro ref() %} +```jinja2 +jinja2.ext.do +{% macro ref() %} -- extract user-provided positional and keyword arguments -{% set version = kwargs.get('version') %} -{% set packagename = none %} -{%- if (varargs | length) == 1 -%} + {% set version = kwargs.get('version') %} + {% set packagename = none %} + {%- if (varargs | length) == 1 -%} {% set modelname = varargs[0] %} {%- else -%} {% set packagename = varargs[0] %} {% set modelname = varargs[1] %} {% endif %} - -- call builtins.ref based on provided positional arguments {% if packagename is not none %} {% do return(builtins.ref(packagename, modelname, version=version)) %} @@ -45,9 +46,10 @@ The following macro extracts user-provided arguments, including `version`, and c -The following macro overrides the `ref` method available in the model compilation context to return a [Relation](/reference/dbt-classes#relation) with the database name overriden to `dev`: +From dbt v1.5 and lower, use the following macro to override the `ref` method available in the model compilation context to return a [Relation](/reference/dbt-classes#relation) with the database name overriden to `dev`: + +```jinja2 -``` {% macro ref(model_name) %} {% set rel = builtins.ref(model_name) %} @@ -60,7 +62,7 @@ The following macro overrides the `ref` method available in the model compilatio The ref macro can also be used to control which elements of the model path are rendered when run, for example the following macro overrides the `ref` method to render only the schema and object identifier, but not the database reference i.e. `my_schema.my_model` rather than `my_database.my_schema.my_model`. This is especially useful when using snowflake as a warehouse, if you intend to change the name of the database post-build and wish the references to remain accurate. -``` +```jinja2 -- Macro to override ref and to render identifiers without a database. {% macro ref(model_name) %} From fb08d60471cfe8791dccef13944d0f3c4093b170 Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Mon, 11 Sep 2023 11:01:24 +0100 Subject: [PATCH 341/486] add line break --- website/docs/reference/dbt-jinja-functions/builtins.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/website/docs/reference/dbt-jinja-functions/builtins.md b/website/docs/reference/dbt-jinja-functions/builtins.md index 9fa1ac46120..014446d2405 100644 --- a/website/docs/reference/dbt-jinja-functions/builtins.md +++ b/website/docs/reference/dbt-jinja-functions/builtins.md @@ -17,7 +17,9 @@ The `builtins` variable is a dictionary containing the following keys: -From dbt v1.6 and higher, use the following macro to extract user-provided arguments, including version, and call the builtins.ref() function with either a single modelname argument or both packagename and modelname arguments, based on the number of positional arguments in varargs : +From dbt v1.6 and higher, use the following macro to extract user-provided arguments, including version, and call the builtins.ref() function with either a single modelname argument or both packagename and modelname arguments, based on the number of positional arguments in varargs: + +

```jinja2 From 32d7fdf6f395178ee42b443c9c3ebb5a490d4691 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Mon, 11 Sep 2023 12:18:23 +0100 Subject: [PATCH 342/486] Update website/docs/guides/best-practices/how-we-build-our-metrics/semantic-layer-3-build-semantic-models.md --- .../semantic-layer-3-build-semantic-models.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/guides/best-practices/how-we-build-our-metrics/semantic-layer-3-build-semantic-models.md b/website/docs/guides/best-practices/how-we-build-our-metrics/semantic-layer-3-build-semantic-models.md index 73fa2363aaf..a2dc55e37ae 100644 --- a/website/docs/guides/best-practices/how-we-build-our-metrics/semantic-layer-3-build-semantic-models.md +++ b/website/docs/guides/best-practices/how-we-build-our-metrics/semantic-layer-3-build-semantic-models.md @@ -150,7 +150,7 @@ from source dimensions: - name: ordered_at expr: date_trunc('day', ordered_at) - # use date_trunc(ordered_at, DAY) if using BigQuery + # use date_trunc(ordered_at, DAY) if using [BigQuery](/docs/build/dimensions#time) type: time type_params: time_granularity: day From 421e633f49917780b67fa18e167fc4dbd10ff9f9 Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Mon, 11 Sep 2023 13:08:14 +0100 Subject: [PATCH 343/486] address jerco's feedback --- .../reference/dbt-jinja-functions/builtins.md | 31 ++++++++++++------- 1 file changed, 20 insertions(+), 11 deletions(-) diff --git a/website/docs/reference/dbt-jinja-functions/builtins.md b/website/docs/reference/dbt-jinja-functions/builtins.md index 014446d2405..a7e96640351 100644 --- a/website/docs/reference/dbt-jinja-functions/builtins.md +++ b/website/docs/reference/dbt-jinja-functions/builtins.md @@ -5,6 +5,7 @@ id: "builtins" description: "Read this guide to understand the builtins Jinja function in dbt." --- + The `builtins` variable exists to provide references to builtin dbt context methods. This allows macros to be created with names that _mask_ dbt builtin context methods, while still making those methods accessible in the dbt compilation context. The `builtins` variable is a dictionary containing the following keys: @@ -15,16 +16,19 @@ The `builtins` variable is a dictionary containing the following keys: ## Usage - +:::important + +Using the `builtins` variable in this way is an advanced development workflow. Users should be ready to maintain and update these overrides when upgrading in the future. +::: + + -From dbt v1.6 and higher, use the following macro to extract user-provided arguments, including version, and call the builtins.ref() function with either a single modelname argument or both packagename and modelname arguments, based on the number of positional arguments in varargs: +From dbt v1.5 and higher, use the following macro to extract user-provided arguments, including version, and call the builtins.ref() function with either a single modelname argument or both packagename and modelname arguments, based on the number of positional arguments in varargs:

-```jinja2 -jinja2.ext.do - +``` {% macro ref() %} -- extract user-provided positional and keyword arguments {% set version = kwargs.get('version') %} @@ -36,21 +40,26 @@ jinja2.ext.do {% set modelname = varargs[1] %} {% endif %} -- call builtins.ref based on provided positional arguments +{% set rel = None %} {% if packagename is not none %} - {% do return(builtins.ref(packagename, modelname, version=version)) %} + {% set rel = return(builtins.ref(packagename, modelname, version=version)) %} {% else %} - {% do return(builtins.ref(modelname, version=version)) %} + {% set rel = return(builtins.ref(modelname, version=version)) %} {% endif %} +-- finally, override the database name with "dev" +{% set newrel = rel.replace_path(database="dev") %} +{% do return(newrel) %} + {% endmacro %} ``` - + -From dbt v1.5 and lower, use the following macro to override the `ref` method available in the model compilation context to return a [Relation](/reference/dbt-classes#relation) with the database name overriden to `dev`: +From dbt v1.4 and lower, use the following macro to override the `ref` method available in the model compilation context to return a [Relation](/reference/dbt-classes#relation) with the database name overriden to `dev`: -```jinja2 +``` {% macro ref(model_name) %} @@ -64,7 +73,7 @@ From dbt v1.5 and lower, use the following macro to override the `ref` method av The ref macro can also be used to control which elements of the model path are rendered when run, for example the following macro overrides the `ref` method to render only the schema and object identifier, but not the database reference i.e. `my_schema.my_model` rather than `my_database.my_schema.my_model`. This is especially useful when using snowflake as a warehouse, if you intend to change the name of the database post-build and wish the references to remain accurate. -```jinja2 +``` -- Macro to override ref and to render identifiers without a database. {% macro ref(model_name) %} From 19ccd8ce3ce8a8eabd2897e94cfc4f6b76980eae Mon Sep 17 00:00:00 2001 From: allie dukuze Date: Mon, 11 Sep 2023 10:01:47 -0400 Subject: [PATCH 344/486] minor changes --- website/docs/docs/cloud/git/connect-azure-devops.md | 2 +- website/docs/docs/cloud/git/connect-gitlab.md | 2 +- website/docs/docs/cloud/secure/ip-restrictions.md | 4 +++- 3 files changed, 5 insertions(+), 3 deletions(-) diff --git a/website/docs/docs/cloud/git/connect-azure-devops.md b/website/docs/docs/cloud/git/connect-azure-devops.md index 1761ea79644..bc5bb81dd24 100644 --- a/website/docs/docs/cloud/git/connect-azure-devops.md +++ b/website/docs/docs/cloud/git/connect-azure-devops.md @@ -23,4 +23,4 @@ To connect Azure DevOps in dbt Cloud: 2. dbt Cloud developers need to [personally authenticate with Azure DevOps](/docs/cloud/git/authenticate-azure) from dbt Cloud. -If you're a Business Critical customer using IP restrictions ensure you've added the appropriate Azure DevOps CIDRs to your IP restriction rules, or else the Azure DevOps connection will fail. +If you're a Business Critical customer using [IP restrictions](/docs/cloud/secure/ip-restrictions), ensure you've added the appropriate Azure DevOps CIDRs to your IP restriction rules, or else the Azure DevOps connection will fail. diff --git a/website/docs/docs/cloud/git/connect-gitlab.md b/website/docs/docs/cloud/git/connect-gitlab.md index 2bb174efc85..b0e56778d48 100644 --- a/website/docs/docs/cloud/git/connect-gitlab.md +++ b/website/docs/docs/cloud/git/connect-gitlab.md @@ -71,7 +71,7 @@ The application form in GitLab should look as follows when completed: Click **Save application** in GitLab, and GitLab will then generate an **Application ID** and **Secret**. These values will be available even if you close the app screen, so this is not the only chance you have to save them. -If you're a Business Critical customer using IP restrictions ensure you've added the appropriate Gitlab CIDRs to your IP restriction rules, or else the Gitlab connection will fail. +If you're a Business Critical customer using [IP restrictions](/docs/cloud/secure/ip-restrictions) ensure you've added the appropriate Gitlab CIDRs to your IP restriction rules, or else the Gitlab connection will fail. ### Adding the GitLab OAuth application to dbt Cloud After you've created your GitLab application, you need to provide dbt Cloud information about the app. In dbt Cloud, account admins should navigate to **Account Settings**, click on the **Integrations** tab, and expand the GitLab section. diff --git a/website/docs/docs/cloud/secure/ip-restrictions.md b/website/docs/docs/cloud/secure/ip-restrictions.md index 4ff1e312a05..35cf87a3b0a 100644 --- a/website/docs/docs/cloud/secure/ip-restrictions.md +++ b/website/docs/docs/cloud/secure/ip-restrictions.md @@ -19,7 +19,9 @@ To configure IP restrictions, go to **Account Settings** → **IP Restrictions** - Deny IPs flagged by the Security team - Allow only VPN traffic but make an exception for contractors’ IP addresses -IP restrictions will block all service tokens, user requests done via the API (via personal user token), and the UI. +IP restrictions will block all service tokens, user requests done via the API (via personal user token), and the UI, if they are coming from blocked IP addresses. + +For any version control system integrations inbound into dbt Cloud, ensure their IP addresses are added to the allowed list. Examples: Gitlab, ADO and Github. ### Allowing IPs From a10cb3a2a8bc5428438de82a8e6f2b5bce2c9a55 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Mon, 11 Sep 2023 10:36:39 -0400 Subject: [PATCH 345/486] Apply suggestions from code review --- website/docs/docs/cloud/secure/ip-restrictions.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/website/docs/docs/cloud/secure/ip-restrictions.md b/website/docs/docs/cloud/secure/ip-restrictions.md index 35cf87a3b0a..49a7fe4f267 100644 --- a/website/docs/docs/cloud/secure/ip-restrictions.md +++ b/website/docs/docs/cloud/secure/ip-restrictions.md @@ -19,9 +19,9 @@ To configure IP restrictions, go to **Account Settings** → **IP Restrictions** - Deny IPs flagged by the Security team - Allow only VPN traffic but make an exception for contractors’ IP addresses -IP restrictions will block all service tokens, user requests done via the API (via personal user token), and the UI, if they are coming from blocked IP addresses. +IP restrictions will block all service tokens, user requests done via the API (via personal user token), and the UI if they come from blocked IP addresses. -For any version control system integrations inbound into dbt Cloud, ensure their IP addresses are added to the allowed list. Examples: Gitlab, ADO and Github. +For any version control system integrations (Github, Gitlab, ADO, etc.) inbound into dbt Cloud, ensure their IP addresses are added to the allowed list. ### Allowing IPs From 9ed5f59dc9b1088e27a32fe98ae9d2839b45e599 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Mon, 11 Sep 2023 10:37:15 -0400 Subject: [PATCH 346/486] Update website/docs/docs/cloud/git/connect-gitlab.md --- website/docs/docs/cloud/git/connect-gitlab.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/git/connect-gitlab.md b/website/docs/docs/cloud/git/connect-gitlab.md index b0e56778d48..9bf0d3971e1 100644 --- a/website/docs/docs/cloud/git/connect-gitlab.md +++ b/website/docs/docs/cloud/git/connect-gitlab.md @@ -71,7 +71,7 @@ The application form in GitLab should look as follows when completed: Click **Save application** in GitLab, and GitLab will then generate an **Application ID** and **Secret**. These values will be available even if you close the app screen, so this is not the only chance you have to save them. -If you're a Business Critical customer using [IP restrictions](/docs/cloud/secure/ip-restrictions) ensure you've added the appropriate Gitlab CIDRs to your IP restriction rules, or else the Gitlab connection will fail. +If you're a Business Critical customer using [IP restrictions](/docs/cloud/secure/ip-restrictions), ensure you've added the appropriate Gitlab CIDRs to your IP restriction rules, or else the Gitlab connection will fail. ### Adding the GitLab OAuth application to dbt Cloud After you've created your GitLab application, you need to provide dbt Cloud information about the app. In dbt Cloud, account admins should navigate to **Account Settings**, click on the **Integrations** tab, and expand the GitLab section. From ce4feeb0d188919ad43276719d797b8659fc4fed Mon Sep 17 00:00:00 2001 From: Ly Nguyen <107218380+nghi-ly@users.noreply.github.com> Date: Mon, 11 Sep 2023 08:02:14 -0700 Subject: [PATCH 347/486] Update website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md Co-authored-by: Joel Labes --- .../release-notes/04-Sept-2023/ci-updates-phase2-rn.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md b/website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md index 304252846c4..145fd0bb51e 100644 --- a/website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md +++ b/website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md @@ -21,5 +21,5 @@ Below is a comparison table that describes how deploy jobs and CI jobs behave di | Trigger types | Triggered by a schedule or by API. | Triggered by a webhook from a commit to a PR or by API. | | Destination | Builds into a production database and schema. | Builds into a staging database and ephemeral schema, lived for the lifetime of the PR. | | Execution mode | Runs execute sequentially, so as to not have collisions on the underlying DAG. | Runs execute in parallel to promote team velocity. | -| Efficiency run savings | Detects over-scheduled jobs and cancels unnecessary runs to avoid queue clog. | Cancels runs when an in-flight run becomes stale when a new commit is pushed to the pull request. | +| Efficiency run savings | Detects over-scheduled jobs and cancels unnecessary runs to avoid queue clog. | Cancels existing runs when a newer commit is pushed to avoid redundant work. | | State comparison | Only sometimes needs to detect state. | Almost always needs to compare state against the production environment to build on modified code and its dependents. | From 9fe9a0f9e449bd2a73229b76e0ba8079d2b6f80d Mon Sep 17 00:00:00 2001 From: Ly Nguyen <107218380+nghi-ly@users.noreply.github.com> Date: Mon, 11 Sep 2023 08:02:50 -0700 Subject: [PATCH 348/486] Update website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md Co-authored-by: Joel Labes --- .../release-notes/04-Sept-2023/ci-updates-phase2-rn.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md b/website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md index 145fd0bb51e..00272834ef8 100644 --- a/website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md +++ b/website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md @@ -18,7 +18,7 @@ Below is a comparison table that describes how deploy jobs and CI jobs behave di | | Deploy Jobs | CI Jobs | | --- | --- | --- | | Purpose | Builds production data assets. | Builds and tests new code before merging changes into production. | -| Trigger types | Triggered by a schedule or by API. | Triggered by a webhook from a commit to a PR or by API. | +| Trigger types | Triggered by a schedule or by API. | Triggered by a commit to a PR or by API. | | Destination | Builds into a production database and schema. | Builds into a staging database and ephemeral schema, lived for the lifetime of the PR. | | Execution mode | Runs execute sequentially, so as to not have collisions on the underlying DAG. | Runs execute in parallel to promote team velocity. | | Efficiency run savings | Detects over-scheduled jobs and cancels unnecessary runs to avoid queue clog. | Cancels existing runs when a newer commit is pushed to avoid redundant work. | From ceed9bc77f5509b07c442af782ab19ef4dcd7288 Mon Sep 17 00:00:00 2001 From: Ly Nguyen <107218380+nghi-ly@users.noreply.github.com> Date: Mon, 11 Sep 2023 08:08:06 -0700 Subject: [PATCH 349/486] Update website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md --- .../release-notes/04-Sept-2023/ci-updates-phase2-rn.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md b/website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md index 00272834ef8..338aa841283 100644 --- a/website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md +++ b/website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md @@ -7,7 +7,7 @@ date: 2023-09-11 sidebar_position: 10 --- -dbt Labs have separated out [deploy jobs](/docs/deploy/deploy-jobs), used to build production data assets, and [CI jobs](/docs/deploy/ci-jobs), used to check code changes, into two distinct types of jobs. These jobs perform fundamentally different tasks, and we’ve been improving the experience of both for you to have better fit for purpose tools. +dbt Labs have separated out [deploy jobs](/docs/deploy/deploy-jobs), used to build production data assets, and [CI jobs](/docs/deploy/ci-jobs), used to check code changes, into two distinct types of jobs. These jobs perform fundamentally different tasks so we’ve improved the setup experience with sensible defaults for each. Since there are now two types of jobs, instead of one generic type, we can better guide you through the setup flow. Best practices are built into the default settings so you can go from curious to being set up in seconds. From 9d76a23748d9d880ce8e3f8a517e4c9789960df3 Mon Sep 17 00:00:00 2001 From: Ly Nguyen <107218380+nghi-ly@users.noreply.github.com> Date: Mon, 11 Sep 2023 08:32:03 -0700 Subject: [PATCH 350/486] Update website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md --- .../release-notes/04-Sept-2023/ci-updates-phase2-rn.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md b/website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md index 338aa841283..31183e0ccd2 100644 --- a/website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md +++ b/website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md @@ -7,7 +7,7 @@ date: 2023-09-11 sidebar_position: 10 --- -dbt Labs have separated out [deploy jobs](/docs/deploy/deploy-jobs), used to build production data assets, and [CI jobs](/docs/deploy/ci-jobs), used to check code changes, into two distinct types of jobs. These jobs perform fundamentally different tasks so we’ve improved the setup experience with sensible defaults for each. +dbt Cloud now separates [deploy jobs](/docs/deploy/deploy-jobs), used to build production data assets, and [CI jobs](/docs/deploy/ci-jobs), used to check code changes, into two distinct types of jobs. These jobs perform fundamentally different tasks so dbt Labs have improved the setup experience with sensible defaults for each. Since there are now two types of jobs, instead of one generic type, we can better guide you through the setup flow. Best practices are built into the default settings so you can go from curious to being set up in seconds. From f6680253c9a5b30641f5bcf262913e15f8357f23 Mon Sep 17 00:00:00 2001 From: Brian Jan Date: Mon, 11 Sep 2023 11:30:34 -0500 Subject: [PATCH 351/486] Update set-up-sso-saml-2.0.md Removed unnecessary Okta/SAML user attribute formatting --- .../docs/cloud/manage-access/set-up-sso-saml-2.0.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/website/docs/docs/cloud/manage-access/set-up-sso-saml-2.0.md b/website/docs/docs/cloud/manage-access/set-up-sso-saml-2.0.md index 22a8094553d..e7ecf5a97d8 100644 --- a/website/docs/docs/cloud/manage-access/set-up-sso-saml-2.0.md +++ b/website/docs/docs/cloud/manage-access/set-up-sso-saml-2.0.md @@ -56,9 +56,9 @@ Additionally, you may configure the IdP attributes passed from your identity pro | name | name format | value | description | | ---- | ----------- | ----- | ----------- | -| email | Unspecified | ${user.email} | The user's email address | -| first_name | Unspecified | ${user.first_name} | The user's first name | -| last_name | Unspecified | ${user.last_name} | The user's last name | +| email | Unspecified | user.email | The user's email address | +| first_name | Unspecified | user.first_name | The user's first name | +| last_name | Unspecified | user.last_name | The user's last name | dbt Cloud's [role-based access control](/docs/cloud/manage-access/about-user-access#role-based-access-control) relies on group mappings from the IdP to assign dbt Cloud users to dbt Cloud groups. To @@ -154,9 +154,9 @@ dbt Cloud expects by using the Attribute Statements and Group Attribute Statemen | Name | Name format | Value | Description | | -------------- | ----------- | -------------------- | -------------------------- | - | `email` | Unspecified | `${user.email}` | _The user's email address_ | - | `first_name` | Unspecified | `${user.firstName}` | _The user's first name_ | - | `last_name` | Unspecified | `${user.lastName}` | _The user's last name_ | + | `email` | Unspecified | `user.email` | _The user's email address_ | + | `first_name` | Unspecified | `user.firstName` | _The user's first name_ | + | `last_name` | Unspecified | `user.lastName` | _The user's last name_ | 4. The following table illustrates expected **Group Attribute Statements**: From cb6b26c99d8a4f351e11e29c8989af5d82249a7c Mon Sep 17 00:00:00 2001 From: Ben Cassell <98852248+benc-db@users.noreply.github.com> Date: Mon, 11 Sep 2023 09:33:50 -0700 Subject: [PATCH 352/486] Updating MV/ST section Updating to indicate this is a 1.6 feature with limitations that we plan to address in the 1.7 timeframe. --- .../reference/resource-configs/databricks-configs.md | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/website/docs/reference/resource-configs/databricks-configs.md b/website/docs/reference/resource-configs/databricks-configs.md index 5f3875d03be..bbccabecc7a 100644 --- a/website/docs/reference/resource-configs/databricks-configs.md +++ b/website/docs/reference/resource-configs/databricks-configs.md @@ -282,7 +282,7 @@ snapshots: - + ## Materialized views and streaming stables Starting with version 1.6.0, the dbt-databricks adapter supports [materialized views](https://docs.databricks.com/en/sql/user/materialized-views.html) and [streaming tables](https://docs.databricks.com/en/sql/load-data-streaming-table.html), as alternatives to incremental tables that are powered by [Delta Live Tables](https://docs.databricks.com/en/delta-live-tables/index.html). @@ -321,5 +321,8 @@ At this time the following configuration options are not available: * Specifying a refresh schedule for these materializations * Specifying `on_configuration_change` settings. - -These configuration settings will be supported in the near future. + +Additionally, if you change the model definition of your materialized view or streaming table, you will need to drop the materialization in your warehouse directly before running dbt again; otherwise, you will get a refresh error. + +We plan to address these limitations during the 1.7.x timeframe. + From fabd1d4fdec8414b714233308aec842b730bbf5f Mon Sep 17 00:00:00 2001 From: Brian Jan Date: Mon, 11 Sep 2023 11:52:33 -0500 Subject: [PATCH 353/486] Update set-up-sso-okta.md Removed unnecessary Okta user attribute formatting --- website/docs/docs/cloud/manage-access/set-up-sso-okta.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/website/docs/docs/cloud/manage-access/set-up-sso-okta.md b/website/docs/docs/cloud/manage-access/set-up-sso-okta.md index 0d493bcf29f..41381b57eca 100644 --- a/website/docs/docs/cloud/manage-access/set-up-sso-okta.md +++ b/website/docs/docs/cloud/manage-access/set-up-sso-okta.md @@ -95,9 +95,9 @@ Expected **User Attribute Statements**: | Name | Name format | Value | Description | | -------------- | ----------- | -------------------- | -------------------------- | -| `email` | Unspecified | `${user.email}` | _The user's email address_ | -| `first_name` | Unspecified | `${user.firstName}` | _The user's first name_ | -| `last_name` | Unspecified | `${user.lastName}` | _The user's last name_ | +| `email` | Unspecified | `user.email` | _The user's email address_ | +| `first_name` | Unspecified | `user.firstName` | _The user's first name_ | +| `last_name` | Unspecified | `user.lastName` | _The user's last name_ | Expected **Group Attribute Statements**: From 82d655df5f0b4d14a6490c426818339c5d127235 Mon Sep 17 00:00:00 2001 From: Ly Nguyen Date: Mon, 11 Sep 2023 09:59:04 -0700 Subject: [PATCH 354/486] Add gif --- .../04-Sept-2023/ci-updates-phase2-rn.md | 2 ++ .../img/docs/release-notes/ci-job-setup.gif | Bin 0 -> 2016603 bytes 2 files changed, 2 insertions(+) create mode 100644 website/static/img/docs/release-notes/ci-job-setup.gif diff --git a/website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md b/website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md index 31183e0ccd2..b7940d04714 100644 --- a/website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md +++ b/website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md @@ -11,6 +11,8 @@ dbt Cloud now separates [deploy jobs](/docs/deploy/deploy-jobs), used to build p Since there are now two types of jobs, instead of one generic type, we can better guide you through the setup flow. Best practices are built into the default settings so you can go from curious to being set up in seconds. + + And, we now have more efficient state comparisons on CI checks: Never waste a build or test on code that hasn’t been changed. We now diff between the PR code and what’s running in production more efficiently, with the introduction of deferral to an environment versus a job. To learn more, refer to [Continuous integration in dbt Cloud](/docs/deploy/continuous-integration). 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zr1w{8srMACKhx59U92&#g`X|Pf6>xhF4p|3MUW~Xpov<_C0ckQQMZI>Oe9&BkQ|8G zE+yI?L>-?JonWGFc!_QlQSWq#-Z>)qLJ2vIsGn1!Ur02#Sz>U9XxLa{_>f4f0E`sf z(ETNwR<}F6D>42;+??aO@%wb)0P7g!eF1{h8v&R#7I&(UOk0pR0B&wcDx_VvxP#mh z-?haj%=AduRcgEEev(x_()tb{C#G7z?zJu?UCj>b)xK``kVNUZPI*SMe|_D4+=k>Z zd)?s+$#MC*<6jb0O54G~)iylLtm1usE@^8f-%7VfQh>^#keIn)2xgb_R&5u{e);b- zD)2vPDgZDlhwcV60X@my*eU>#RFR`6b4}q`gCNA@q|*h34Qc+f|UUbeq?>lR@AqEge$Hl;KW6RbKMHj`;<5IV$euiYUFfu&almB9C3WE=RnRI1*1 zmZ`0UK<(LfXdmo`^3ITV1`EhHMgh`Cc6i;=^<|$y%v(QUid7pyWuOfEn0Y{LNymr1J5EW(PT5_)5?%iHFjcuz1a%2gE^y!Q=@OJ2q{IXW zw5xhv^Qgj>E>HkM7J8zIbX0MB5;E>>&3l@(9DJz$_?k-0o~;HW2+UGhTY*ZUmh-2< z?o^Z#Je;=uk1Fbwu~k#ZTg;86F&#-Hdc$9n!^$`yJXY1Xbsvvw57Ir4cXq)*D{scc zU)lf`Cy7M6XlfR2gFev~rxY Date: Mon, 11 Sep 2023 11:53:00 -0700 Subject: [PATCH 355/486] Update website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md --- .../release-notes/04-Sept-2023/ci-updates-phase2-rn.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md b/website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md index b7940d04714..6901fb2bb6c 100644 --- a/website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md +++ b/website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md @@ -7,7 +7,7 @@ date: 2023-09-11 sidebar_position: 10 --- -dbt Cloud now separates [deploy jobs](/docs/deploy/deploy-jobs), used to build production data assets, and [CI jobs](/docs/deploy/ci-jobs), used to check code changes, into two distinct types of jobs. These jobs perform fundamentally different tasks so dbt Labs have improved the setup experience with sensible defaults for each. +dbt Cloud now has two distinct job types: [deploy jobs](/docs/deploy/deploy-jobs) for building production data assets, and [CI jobs](/docs/deploy/ci-jobs) for checking code changes. These jobs perform fundamentally different tasks so dbt Labs improved the setup experience with better defaults for each. Since there are now two types of jobs, instead of one generic type, we can better guide you through the setup flow. Best practices are built into the default settings so you can go from curious to being set up in seconds. From c0c9b1775b613d9995c5bc615d839dd5030e2722 Mon Sep 17 00:00:00 2001 From: Ly Nguyen <107218380+nghi-ly@users.noreply.github.com> Date: Mon, 11 Sep 2023 11:57:18 -0700 Subject: [PATCH 356/486] Update website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md --- .../release-notes/04-Sept-2023/ci-updates-phase2-rn.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md b/website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md index 6901fb2bb6c..ad3e0e87cb8 100644 --- a/website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md +++ b/website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md @@ -9,7 +9,7 @@ sidebar_position: 10 dbt Cloud now has two distinct job types: [deploy jobs](/docs/deploy/deploy-jobs) for building production data assets, and [CI jobs](/docs/deploy/ci-jobs) for checking code changes. These jobs perform fundamentally different tasks so dbt Labs improved the setup experience with better defaults for each. -Since there are now two types of jobs, instead of one generic type, we can better guide you through the setup flow. Best practices are built into the default settings so you can go from curious to being set up in seconds. +With two types of jobs, instead of one generic type, we can better guide you through the setup flow. Best practices are built into the default settings so you can go from curious to being set up in seconds. From aeab4ea4c106a91f9588aeb88018bf2a75931f59 Mon Sep 17 00:00:00 2001 From: Ly Nguyen <107218380+nghi-ly@users.noreply.github.com> Date: Mon, 11 Sep 2023 12:01:40 -0700 Subject: [PATCH 357/486] Update website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md --- .../release-notes/04-Sept-2023/ci-updates-phase2-rn.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md b/website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md index ad3e0e87cb8..5582a47ed50 100644 --- a/website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md +++ b/website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md @@ -13,7 +13,7 @@ With two types of jobs, instead of one generic type, we can better guide you thr -And, we now have more efficient state comparisons on CI checks: Never waste a build or test on code that hasn’t been changed. We now diff between the PR code and what’s running in production more efficiently, with the introduction of deferral to an environment versus a job. To learn more, refer to [Continuous integration in dbt Cloud](/docs/deploy/continuous-integration). +And, we now have more efficient state comparisons on CI checks: never waste a build or test on code that hasn’t been changed. We now diff between the Git PR code and what’s running in production more efficiently, with the introduction of deferral to an environment versus a job. To learn more, refer to [Continuous integration in dbt Cloud](/docs/deploy/continuous-integration). Below is a comparison table that describes how deploy jobs and CI jobs behave differently: From ee909e268b159a30f066edf44b24553681f6b5a0 Mon Sep 17 00:00:00 2001 From: Ly Nguyen <107218380+nghi-ly@users.noreply.github.com> Date: Mon, 11 Sep 2023 12:04:54 -0700 Subject: [PATCH 358/486] Update website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md --- .../release-notes/04-Sept-2023/ci-updates-phase2-rn.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md b/website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md index 5582a47ed50..61cd2645e14 100644 --- a/website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md +++ b/website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md @@ -13,7 +13,7 @@ With two types of jobs, instead of one generic type, we can better guide you thr -And, we now have more efficient state comparisons on CI checks: never waste a build or test on code that hasn’t been changed. We now diff between the Git PR code and what’s running in production more efficiently, with the introduction of deferral to an environment versus a job. To learn more, refer to [Continuous integration in dbt Cloud](/docs/deploy/continuous-integration). +And, we now have more efficient state comparisons on CI checks: never waste a build or test on code that hasn’t been changed. We now diff between the Git PR code and what’s running in production more efficiently, with the introduction of deferral to an environment versus a job. To learn more, refer to [Continuous integration in dbt Cloud](/docs/deploy/continuous-integration) and [Get started with continuous integration tests](/guides/orchestration/set-up-ci/overview). Below is a comparison table that describes how deploy jobs and CI jobs behave differently: From 94dbb32619aedfcf7dc2bd531d41724285fbecd5 Mon Sep 17 00:00:00 2001 From: Ly Nguyen <107218380+nghi-ly@users.noreply.github.com> Date: Mon, 11 Sep 2023 12:05:22 -0700 Subject: [PATCH 359/486] Update website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md --- .../release-notes/04-Sept-2023/ci-updates-phase2-rn.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md b/website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md index 61cd2645e14..0db1de2b310 100644 --- a/website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md +++ b/website/docs/docs/dbt-versions/release-notes/04-Sept-2023/ci-updates-phase2-rn.md @@ -13,7 +13,7 @@ With two types of jobs, instead of one generic type, we can better guide you thr -And, we now have more efficient state comparisons on CI checks: never waste a build or test on code that hasn’t been changed. We now diff between the Git PR code and what’s running in production more efficiently, with the introduction of deferral to an environment versus a job. To learn more, refer to [Continuous integration in dbt Cloud](/docs/deploy/continuous-integration) and [Get started with continuous integration tests](/guides/orchestration/set-up-ci/overview). +And, we now have more efficient state comparisons on CI checks: never waste a build or test on code that hasn’t been changed. We now diff between the Git PR code and what’s running in production more efficiently with the introduction of deferral to an environment versus a job. To learn more, refer to [Continuous integration in dbt Cloud](/docs/deploy/continuous-integration) and [Get started with continuous integration tests](/guides/orchestration/set-up-ci/overview). Below is a comparison table that describes how deploy jobs and CI jobs behave differently: From ea866d20263989bc8f4af5b102748f37ffcc49e7 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Agust=C3=ADn=20Castro=20Bugallo?= Date: Tue, 12 Sep 2023 10:07:04 +0200 Subject: [PATCH 360/486] Update run.md Correcting link to the wrong article. --- website/docs/reference/commands/run.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/reference/commands/run.md b/website/docs/reference/commands/run.md index fbc1a513cb1..f22cea71522 100644 --- a/website/docs/reference/commands/run.md +++ b/website/docs/reference/commands/run.md @@ -77,7 +77,7 @@ For more information on running parents or children of specific models, see the -See [global configs](/reference/global-configs/failing-fast) +See [global configs](/reference/global-configs/warnings) ## Failing fast From 4ebc67fca100dc6731b384ece1a481bdc92c1adb Mon Sep 17 00:00:00 2001 From: Brian Jan Date: Tue, 12 Sep 2023 09:40:12 -0500 Subject: [PATCH 361/486] Update set-up-sso-azure-active-directory.md Updated instructions on supplying Azure AD domains for the dbt Cloud SSO config --- .../cloud/manage-access/set-up-sso-azure-active-directory.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/manage-access/set-up-sso-azure-active-directory.md b/website/docs/docs/cloud/manage-access/set-up-sso-azure-active-directory.md index f58bceff816..e0e3880d803 100644 --- a/website/docs/docs/cloud/manage-access/set-up-sso-azure-active-directory.md +++ b/website/docs/docs/cloud/manage-access/set-up-sso-azure-active-directory.md @@ -146,7 +146,7 @@ To complete setup, follow the steps below in the dbt Cloud application. | **Client ID** | Paste the **Application (client) ID** recorded in the steps above | | **Client Secret** | Paste the **Client Secret** (remember to use the Secret Value instead of the Secret ID) recorded in the steps above | | **Tenant ID** | Paste the **Directory (tenant ID)** recorded in the steps above | -| **Domain** | Enter the domain name for your Azure directory (eg. `fishtownanalytics.com`). Only users with accounts in this directory with this primary domain will be able to log into the dbt Cloud application. Optionally, you may specify a CSV of domains which are _all_ authorized to access your dbt Cloud account (eg. `fishtownanalytics.com, fishtowndata.com`) Ensure that the domain(s) match the values configured on user accounts in Azure | +| **Domain** | Enter the domain name for your Azure directory (eg. `fishtownanalytics.com`). Only use the primary domain; this won't block access for other domains | | **Slug** | Enter your desired login slug. Users will be able to log into dbt Cloud by navigating to `https://YOUR_ACCESS_URL/enterprise-login/LOGIN-SLUG`, replacing `YOUR_ACCESS_URL` with the [appropriate Access URL](/docs/cloud/manage-access/sso-overview#auth0-multi-tenant-uris) for your region and plan. Login slugs must be unique across all dbt Cloud accounts, so pick a slug that uniquely identifies your company. | From bafb7742b39d9ed114bf77f345d0d6c08e4a3165 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Tue, 12 Sep 2023 16:05:19 +0100 Subject: [PATCH 362/486] Update website/docs/docs/cloud/manage-access/set-up-sso-azure-active-directory.md --- .../cloud/manage-access/set-up-sso-azure-active-directory.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/cloud/manage-access/set-up-sso-azure-active-directory.md b/website/docs/docs/cloud/manage-access/set-up-sso-azure-active-directory.md index e0e3880d803..349c3d8ecd7 100644 --- a/website/docs/docs/cloud/manage-access/set-up-sso-azure-active-directory.md +++ b/website/docs/docs/cloud/manage-access/set-up-sso-azure-active-directory.md @@ -146,7 +146,7 @@ To complete setup, follow the steps below in the dbt Cloud application. | **Client ID** | Paste the **Application (client) ID** recorded in the steps above | | **Client Secret** | Paste the **Client Secret** (remember to use the Secret Value instead of the Secret ID) recorded in the steps above | | **Tenant ID** | Paste the **Directory (tenant ID)** recorded in the steps above | -| **Domain** | Enter the domain name for your Azure directory (eg. `fishtownanalytics.com`). Only use the primary domain; this won't block access for other domains | +| **Domain** | Enter the domain name for your Azure directory (such as `fishtownanalytics.com`). Only use the primary domain; this won't block access for other domains. | | **Slug** | Enter your desired login slug. Users will be able to log into dbt Cloud by navigating to `https://YOUR_ACCESS_URL/enterprise-login/LOGIN-SLUG`, replacing `YOUR_ACCESS_URL` with the [appropriate Access URL](/docs/cloud/manage-access/sso-overview#auth0-multi-tenant-uris) for your region and plan. Login slugs must be unique across all dbt Cloud accounts, so pick a slug that uniquely identifies your company. | From d8b406b43c1b173e05069490e970f03fb0824b96 Mon Sep 17 00:00:00 2001 From: john-rock Date: Tue, 12 Sep 2023 14:06:09 -0400 Subject: [PATCH 363/486] update netlify mention in readme --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 4dfd8a8be9e..da82ab45fd6 100644 --- a/README.md +++ b/README.md @@ -42,7 +42,7 @@ You can add code snippets and other content in a tabbed view. To learn more abou # Running the Docs site locally -You can click a link available in a netlify bot PR comment to see and review your changes rendered on a staging server. You are also able to see and review your proposed modifications locally on your computer. Our setup instructions use [homebrew](https://brew.sh/): +You can click a link available in a Vercel bot PR comment to see and review your changes rendered on a staging server. You are also able to see and review your proposed modifications locally on your computer. Our setup instructions use [homebrew](https://brew.sh/): ## Prerequisites From 7e155f6fae0944a9f2208f11157b2f765784adbc Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Tue, 12 Sep 2023 20:24:25 +0100 Subject: [PATCH 364/486] update ide image (#4066) this pr replaces the old ide image with the new one --- website/docs/terms/data-lineage.md | 2 +- .../docs/terms/data-lineage/dag_example.jpg | Bin 0 -> 186194 bytes 2 files changed, 1 insertion(+), 1 deletion(-) create mode 100644 website/static/img/docs/terms/data-lineage/dag_example.jpg diff --git a/website/docs/terms/data-lineage.md b/website/docs/terms/data-lineage.md index bb3751df3da..a03687eaba3 100644 --- a/website/docs/terms/data-lineage.md +++ b/website/docs/terms/data-lineage.md @@ -63,7 +63,7 @@ In the greater data world, you may often hear of data lineage systems based on t If you use a transformation tool such as dbt that automatically infers relationships between data sources and models, a DAG automatically populates to show you the lineage that exists for your [data transformations](https://www.getdbt.com/analytics-engineering/transformation/). - + Your is used to visually show upstream dependencies, the nodes that must come before a current model, and downstream relationships, the work that is impacted by the current model. 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427260e4adc499bc5572496082654e510c2e5b21 Mon Sep 17 00:00:00 2001 From: john-rock Date: Tue, 12 Sep 2023 15:29:58 -0400 Subject: [PATCH 365/486] trigger vercel build From 7645255194665a0eddc491167184c7f12fe4a98e Mon Sep 17 00:00:00 2001 From: Brian Jan Date: Tue, 12 Sep 2023 14:53:01 -0500 Subject: [PATCH 366/486] Update set-up-sso-saml-2.0.md Add NameID as a user attribute for OneLogin --- website/docs/docs/cloud/manage-access/set-up-sso-saml-2.0.md | 1 + 1 file changed, 1 insertion(+) diff --git a/website/docs/docs/cloud/manage-access/set-up-sso-saml-2.0.md b/website/docs/docs/cloud/manage-access/set-up-sso-saml-2.0.md index e7ecf5a97d8..9aa600e34b6 100644 --- a/website/docs/docs/cloud/manage-access/set-up-sso-saml-2.0.md +++ b/website/docs/docs/cloud/manage-access/set-up-sso-saml-2.0.md @@ -380,6 +380,7 @@ We recommend using the following values: | name | name format | value | | ---- | ----------- | ----- | +| NameID | Unspecified | Email | | email | Unspecified | Email | | first_name | Unspecified | First Name | | last_name | Unspecified | Last Name | From 3b823c4a2beac47248c29fa7a7bd9f75aae3256e Mon Sep 17 00:00:00 2001 From: Ly Nguyen Date: Tue, 12 Sep 2023 20:55:05 -0700 Subject: [PATCH 367/486] dbt Explorer phase 1 --- .../cloud/about-cloud/dbt-cloud-features.md | 6 + .../docs/docs/collaborate/explore-projects.md | 142 ++++++++++++++++++ .../node-selection/graph-operators.md | 9 -- website/sidebars.js | 1 + .../dbt-explorer/catalog-sidebar-v1.gif | Bin 0 -> 1922201 bytes .../collaborate/dbt-explorer/lineage-v1.gif | Bin 0 -> 1049573 bytes .../model-resource-details-v1.gif | Bin 0 -> 3072265 bytes .../collaborate/dbt-explorer/search-v1.gif | Bin 0 -> 2012638 bytes 8 files changed, 149 insertions(+), 9 deletions(-) create mode 100644 website/docs/docs/collaborate/explore-projects.md create mode 100644 website/static/img/docs/collaborate/dbt-explorer/catalog-sidebar-v1.gif create mode 100644 website/static/img/docs/collaborate/dbt-explorer/lineage-v1.gif create mode 100644 website/static/img/docs/collaborate/dbt-explorer/model-resource-details-v1.gif create mode 100644 website/static/img/docs/collaborate/dbt-explorer/search-v1.gif diff --git a/website/docs/docs/cloud/about-cloud/dbt-cloud-features.md b/website/docs/docs/cloud/about-cloud/dbt-cloud-features.md index a7555adb6a8..b7731e62676 100644 --- a/website/docs/docs/cloud/about-cloud/dbt-cloud-features.md +++ b/website/docs/docs/cloud/about-cloud/dbt-cloud-features.md @@ -78,6 +78,12 @@ link="/docs/cloud/dbt-cloud-ide/develop-in-the-cloud" body="View the history of your runs and the model timing dashboard to help identify where improvements can be made to the scheduled jobs." link="/docs/deploy/run-visibility" icon="pencil-paper"/> + +


*These features are available on [selected plans](https://www.getdbt.com/pricing/). diff --git a/website/docs/docs/collaborate/explore-projects.md b/website/docs/docs/collaborate/explore-projects.md new file mode 100644 index 00000000000..c15aecf9ba9 --- /dev/null +++ b/website/docs/docs/collaborate/explore-projects.md @@ -0,0 +1,142 @@ +--- +title: "Explore your dbt projects (beta)" +sidebar_label: "Explore dbt projects (beta)" +description: "Learn about dbt Explorer and how to interact with it to understand, improve, and leverage your data pipelines." +--- + +With dbt Explorer, you can view your project's [resources](/docs/build/projects) (such as models, tests, and metrics) and their lineage to gain a better understanding of its latest production state. Navigate and manage your projects within dbt Cloud to help your data consumers discover and leverage your dbt resources. + +To display the details about your [project state](/docs/dbt-cloud-apis/project-state), dbt Explorer utilizes the metadata provided through the [Discovery API](/docs/dbt-cloud-apis/discovery-api). The metadata that's available on your project depends on the [deployment environment](/docs/deploy/deploy-environments) you've designated as _production_ in your dbt Cloud project. dbt Explorer automatically retrieves the metadata updates after each job run in the production deployment environment so it will always have the latest state on your project. The metadata it displays depends on the [commands executed by the jobs](/docs/deploy/job-commands). For instance: + +- To update **model details** or results, you must run `dbt run` or `dbt build` on a given model within a job in the environment. +- To view **catalog statistics and columns**, you must run `docs generate` within a job in the environment. +- To view **test results**, you must run `dbt test` or `dbt build` within a job in the environment. +- To view **source freshness** check results, you must run `source freshness` within a job in the environment. + +The need to run these commands will diminish and richer, more timely metadata will become available as the Discovery API and its underlying platform evolve. + +:::tip Join the beta + +dbt Explorer is a [beta feature](/docs/dbt-versions/product-lifecycles#dbt-cloud) and subject to change without notification. More updates to this feature coming soon. + +If you’re interested in joining the beta, please contact your account team. + +::: + +## Prerequisites + +- You have a [multi-tenant](/docs/cloud/about-cloud/tenancy#multi-tenant) or AWS single-tenant dbt Cloud account on the [Team or Enterprise plan](https://www.getdbt.com/pricing/). +- You have set up a [production deployment environment](/docs/deploy/deploy-environments#set-as-production-environment-beta) for each project you want to explore. + - There has been at least one successful job run in the production deployment environment. +- You are on the dbt Explorer page. + - To go to the page, select **Explore (Beta)** from the top navigation bar in dbt Cloud. + +## Explore the project’s lineage + +dbt Explorer provides a visualization of your project’s DAG that you can interact with. To start, select **Overview** in the left sidebar and click the **Explore Lineage** button on the main (center) section of the page. + +If you don't see the lineage graph immediately, click **Render Lineage**. It can take some time for the graph to render depending on the size of your project and your computer’s available memory. The graph of very large projects might not render so, instead, you can select a subset of nodes by using selectors. + +The nodes in the lineage graph represent the project’s resources and the edges represent the relationships between the nodes. Resources like tests and macros display in the lineage within their [resource details pages](#view-resource-details) but not within the overall project lineage graph. Nodes are color-coded and include iconography according to their resource type. + +To interact with the lineage graph, you can: + +- Hover over any item in the graph to display the resource’s name and type. +- Zoom in and out on the graph by mouse-scrolling. +- Grab and move the graph. +- Click on a resource to highlight its relationship with other resources in your project. +- [Search and select specific resources](#search-resources) or a subset of the DAG using selectors and lineage (for example, `+[YOUR_RESOURCE_NAME]` displays all nodes upstream of a particular resource). +- [View resource details](#view-resource-details) by selecting a node in the graph (double-clicking). + + + + + +## Search for resources {#search-resources} +With the search bar (on the upper left of the page or in a lineage graph), you can search using keywords or selectors (also known as *selector methods*). The resources that match your search criteria will display as a table in the main section of the page. When you select a resource in the table, its [resource details page](#view-resource-details) will display. + +When using keyword search, dbt Explorer will search through your resources using metadata such as resource type, resource name, column name, source name, tags, schema, database, version, alias/identifier, and package name. + +When using selector search, you can utilize the dbt node selection syntax including set and graph operators (like `+`). To learn more about selectors, refer to [Syntax overview](/reference/node-selection/syntax), [Graph operators](/reference/node-selection/graph-operators), and [Set operators](/reference/node-selection/set-operators). + +Below are the selection methods currently available in dbt Explorer. For more information about each of them, refer to [Methods](/reference/node-selection/methods). + +- **fqn:** — Find resources by [file or fully qualified name](/reference/node-selection/methods#the-file-or-fqn-method). +- **source:** — Find resources by a specified [source](/reference/node-selection/methods#the-source-method). +- **resource_type:** — Find resources by their [type](/reference/node-selection/methods#the-resource_type-method). +- **package:** — Find resources by the [dbt package](/reference/node-selection/methods#the-package-method) that defines them. +- **tag:** — Find resources by a specified [tag](/reference/node-selection/methods#the-tag-method). + + + +- **group:** — Find models defined within a specified [group](/reference/node-selection/methods#the-group-method). +- **access:** — Find models based on their [access](/reference/node-selection/methods#the-access-method) property. + + + + + +## Use the catalog sidebar + +By default, the catalog sidebar lists all your project’s resources. Select any resource type in the list and all those resources in the project will display as a table in the main section of the page. For a description on the different resource types (like models, metrics, and so on), refer to [About dbt projects](https://docs.getdbt.com/docs/build/projects). + +To browse using a different view, you can choose one of these options from the **View by** dropdown: + +- **Resources** (default) — All resources in the project organized by type. +- **Packages** — All resources in the project organized by the project in which they are defined. +- **File Tree** — All resources in the project organized by the file in which they are defined. This mirrors the file tree in your dbt project repository. +- **Database** — All resources in the project organized by the database and schema in which they are built. This mirrors your data platform structure. + + + +## View resource details {#view-resource-details} +You can view the definition and latest run results of any resource in your project. To find a resource and view its details, you can interact with the lineage graph, use search, or browse the catalog. The details (metadata) available to you depends on the resource’s type, its definition, and the [commands](/docs/deploy/job-commands) run within jobs in the production environment. + + + + + +### Example of model details + +An example of the details you might get for a model: + +- **General** — The model’s lineage graph that you can interact with. +- **Code** — The source code and compiled code for the model. +- **Columns** — The available columns in the model. +- **Description** — A [description of the model](/docs/collaborate/documentation#adding-descriptions-to-your-project). +- **Recent** — Information on the last time the model ran, how long it ran for, whether the run was successful, the job ID, and the run ID. +- **Tests** — [Tests](/docs/build/tests) for the model. +- **Details** — Key properties like the model’s relation name (for example, how it’s represented and how you can query it in the data platform: `database.schema.identifier`); model governance attributes like access, group, and if contracted; and more. +- **Relationships** — The nodes the model **Depends On** and is **Referenced by.** + +### Example of exposure details + +An example of the details you might get for an exposure: + +- **Status** — The status on data freshness and data quality. +- **Lineage** — The exposure’s lineage graph. +- **Description** — A description of the exposure. +- **Details** — Details like exposure type, maturity, owner information, and more. +- **Relationships** — The nodes the exposure **Depends On**. + +### Example of test details + +An example of the details you might get for a test: + +- **General** — The test’s lineage graph that you can interact with. +- **Code** — The source code and compiled code for the test. +- **Description** — A description of the test. +- **Recent** — Information on the last time the test ran, how long it ran for, whether the test passed, the job ID, and the run ID. +- **Details** — Details like schema, severity, package, and more. +- **Relationships** — The nodes the test **Depends On**. + +### Example of source details + +An example of the details you might get for each source table within a source collection: + +- **General** — The source’s lineage graph that you can interact with. +- **Columns** — The available columns in the source. +- **Description** — A description of the source. +- **Source freshness** — Information on whether refreshing the data was successful, the last time the source was loaded, the timestamp of when a run generated data, and the run ID. +- **Details** — Details like database, schema, and more. +- **Relationships** — A table that lists all the sources used with their freshness status, the timestamp of when freshness was last checked, and the timestamp of when the source was last loaded. \ No newline at end of file diff --git a/website/docs/reference/node-selection/graph-operators.md b/website/docs/reference/node-selection/graph-operators.md index 1e7c88fadfc..4fdc2f10628 100644 --- a/website/docs/reference/node-selection/graph-operators.md +++ b/website/docs/reference/node-selection/graph-operators.md @@ -34,12 +34,3 @@ The `@` operator is similar to `+`, but will also include _the parents of the ch ```bash $ dbt run --models @my_model # select my_model, its children, and the parents of its children ``` - -### The "star" operator -The `*` operator matches all models within a package or directory. - - - ```bash - $ dbt run --select snowplow.* # run all of the models in the snowplow package - $ dbt run --select finance.base.* # run all of the models in models/finance/base - ``` diff --git a/website/sidebars.js b/website/sidebars.js index fde16bc4983..be4e20e75e1 100644 --- a/website/sidebars.js +++ b/website/sidebars.js @@ -365,6 +365,7 @@ const sidebarSettings = { type: "category", label: "Collaborate with others", items: [ + "docs/collaborate/explore-projects", { type: "category", label: "Git version control", diff --git 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