From 4007204e64617e08fb1fdc3f0ebf2c3ce9d5efa8 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Tue, 21 Nov 2023 13:30:30 -0500 Subject: [PATCH 001/134] Updating release notes --- .../{02-Nov-2023 => 75-Nov-2023}/job-notifications-rn.md | 0 .../{02-Nov-2023 => 75-Nov-2023}/microsoft-fabric-support-rn.md | 0 .../release-notes/{03-Oct-2023 => 76-Oct-2023}/api-v2v3-limit.md | 0 .../release-notes/{03-Oct-2023 => 76-Oct-2023}/cloud-cli-pp.md | 0 .../{03-Oct-2023 => 76-Oct-2023}/custom-branch-fix-rn.md | 0 .../{03-Oct-2023 => 76-Oct-2023}/dbt-deps-auto-install.md | 0 .../{03-Oct-2023 => 76-Oct-2023}/explorer-public-preview-rn.md | 0 .../{03-Oct-2023 => 76-Oct-2023}/native-retry-support-rn.md | 0 .../{03-Oct-2023 => 76-Oct-2023}/product-docs-sept-rn.md | 0 .../release-notes/{03-Oct-2023 => 76-Oct-2023}/sl-ga.md | 0 .../{04-Sept-2023 => 77-Sept-2023}/ci-updates-phase2-rn.md | 0 .../{04-Sept-2023 => 77-Sept-2023}/ci-updates-phase3-rn.md | 0 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.../{32-February-2022 => 96-February-2022}/service-tokens-more.md | 0 .../{33-January-2022 => 97-January-2022}/IDE-autocomplete-more.md | 0 .../{33-January-2022 => 97-January-2022}/model-timing-more.md | 0 ...dbt-cloud-changelog-2021.md => 98-dbt-cloud-changelog-2021.md} | 0 ...changelog-2019-2020.md => 99-dbt-cloud-changelog-2019-2020.md} | 0 65 files changed, 0 insertions(+), 0 deletions(-) rename website/docs/docs/dbt-versions/release-notes/{02-Nov-2023 => 75-Nov-2023}/job-notifications-rn.md (100%) rename website/docs/docs/dbt-versions/release-notes/{02-Nov-2023 => 75-Nov-2023}/microsoft-fabric-support-rn.md (100%) rename website/docs/docs/dbt-versions/release-notes/{03-Oct-2023 => 76-Oct-2023}/api-v2v3-limit.md (100%) rename website/docs/docs/dbt-versions/release-notes/{03-Oct-2023 => 76-Oct-2023}/cloud-cli-pp.md (100%) rename website/docs/docs/dbt-versions/release-notes/{03-Oct-2023 => 76-Oct-2023}/custom-branch-fix-rn.md (100%) rename 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website/docs/docs/dbt-versions/release-notes/99-dbt-cloud-changelog-2019-2020.md From 5ea7f732ed82d4deabe3974fbfaaccf4cd699abe Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Thu, 30 Nov 2023 06:51:11 -0500 Subject: [PATCH 002/134] add ST support caveat --- website/docs/docs/use-dbt-semantic-layer/gsheets.md | 2 ++ .../docs/docs/use-dbt-semantic-layer/quickstart-sl.md | 2 +- website/docs/docs/use-dbt-semantic-layer/tableau.md | 3 ++- website/snippets/_new-sl-setup.md | 3 ++- website/snippets/_sl-connect-and-query-api.md | 6 ++---- website/snippets/_sl-plan-info.md | 2 +- website/snippets/_v2-sl-prerequisites.md | 9 +++++---- 7 files changed, 15 insertions(+), 12 deletions(-) diff --git a/website/docs/docs/use-dbt-semantic-layer/gsheets.md b/website/docs/docs/use-dbt-semantic-layer/gsheets.md index cb9f4014803..ab14ddeda75 100644 --- a/website/docs/docs/use-dbt-semantic-layer/gsheets.md +++ b/website/docs/docs/use-dbt-semantic-layer/gsheets.md @@ -17,6 +17,8 @@ The dbt Semantic Layer offers a seamless integration with Google Sheets through - You have a Google account with access to Google Sheets. - You can install Google add-ons. - You have a dbt Cloud Environment ID and a [service token](/docs/dbt-cloud-apis/service-tokens) to authenticate with from a dbt Cloud account. +- You must have a dbt Cloud Team or Enterprise [account](https://www.getdbt.com/pricing). Suitable for both Multi-tenant and Single-tenant deployment. + - Single-tenant accounts should contact their account representative for necessary setup and enablement. ## Installing the add-on 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 84e3227b4e7..591e922336a 100644 --- a/website/docs/docs/use-dbt-semantic-layer/quickstart-sl.md +++ b/website/docs/docs/use-dbt-semantic-layer/quickstart-sl.md @@ -26,7 +26,7 @@ MetricFlow, a powerful component of the dbt Semantic Layer, simplifies the creat Use this guide to fully experience the power of the universal dbt Semantic Layer. Here are the following steps you'll take: - [Create a semantic model](#create-a-semantic-model) in dbt Cloud using MetricFlow -- [Define metrics](#define-metrics) in dbt Cloud using MetricFlow +- [Define metrics](#define-metrics) in dbt using MetricFlow - [Test and query metrics](#test-and-query-metrics) with MetricFlow - [Run a production job](#run-a-production-job) in dbt Cloud - [Set up dbt Semantic Layer](#setup) in dbt Cloud diff --git a/website/docs/docs/use-dbt-semantic-layer/tableau.md b/website/docs/docs/use-dbt-semantic-layer/tableau.md index 1d283023dda..d3e9444fdd6 100644 --- a/website/docs/docs/use-dbt-semantic-layer/tableau.md +++ b/website/docs/docs/use-dbt-semantic-layer/tableau.md @@ -21,7 +21,8 @@ This integration provides a live connection to the dbt Semantic Layer through Ta - Note that Tableau Online does not currently support custom connectors natively. If you use Tableau Online, you will only be able to access the connector in Tableau Desktop. - Log in to Tableau Desktop (with Online or Server credentials) or a license to Tableau Server - You need your dbt Cloud host, [Environment ID](/docs/use-dbt-semantic-layer/setup-sl#set-up-dbt-semantic-layer) and [service token](/docs/dbt-cloud-apis/service-tokens) to log in. This account should be set up with the dbt Semantic Layer. -- You must have a dbt Cloud Team or Enterprise [account](https://www.getdbt.com/pricing) and multi-tenant [deployment](/docs/cloud/about-cloud/regions-ip-addresses). (Single-Tenant coming soon) +- You must have a dbt Cloud Team or Enterprise [account](https://www.getdbt.com/pricing). Suitable for both Multi-tenant and Single-tenant deployment. + - Single-tenant accounts should contact their account representative for necessary setup and enablement. ## Installing the Connector diff --git a/website/snippets/_new-sl-setup.md b/website/snippets/_new-sl-setup.md index 3cb6e09eb4c..18e75c3278d 100644 --- a/website/snippets/_new-sl-setup.md +++ b/website/snippets/_new-sl-setup.md @@ -1,6 +1,7 @@ You can set up the dbt Semantic Layer in dbt Cloud at the environment and project level. Before you begin: -- You must have a dbt Cloud Team or Enterprise [multi-tenant](/docs/cloud/about-cloud/regions-ip-addresses) deployment. Single-tenant coming soon. +- You must have a dbt Cloud Team or Enterprise account. Suitable for both Multi-tenant and Single-tenant deployment. + - Single-tenant accounts should contact their account representative for necessary setup and enablement. - You must be part of the Owner group, and have the correct [license](/docs/cloud/manage-access/seats-and-users) and [permissions](/docs/cloud/manage-access/self-service-permissions) to configure the Semantic Layer: * Enterprise plan — Developer license with Account Admin permissions. Or Owner with a Developer license, assigned Project Creator, Database Admin, or Admin permissions. * Team plan — Owner with a Developer license. diff --git a/website/snippets/_sl-connect-and-query-api.md b/website/snippets/_sl-connect-and-query-api.md index 429f41c3bf6..f7f1d2add24 100644 --- a/website/snippets/_sl-connect-and-query-api.md +++ b/website/snippets/_sl-connect-and-query-api.md @@ -1,10 +1,8 @@ You can query your metrics in a JDBC-enabled tool or use existing first-class integrations with the dbt Semantic Layer. -You must have a dbt Cloud Team or Enterprise [multi-tenant](/docs/cloud/about-cloud/regions-ip-addresses) deployment. Single-tenant coming soon. - +- You must have a dbt Cloud Team or Enterprise account. Suitable for both Multi-tenant and Single-tenant deployment. + - Single-tenant accounts should contact their account representative for necessary setup and enablement. - To learn how to use the JDBC or GraphQL API and what tools you can query it with, refer to [dbt Semantic Layer APIs](/docs/dbt-cloud-apis/sl-api-overview). - * To authenticate, you need to [generate a service token](/docs/dbt-cloud-apis/service-tokens) with Semantic Layer Only and Metadata Only permissions. * Refer to the [SQL query syntax](/docs/dbt-cloud-apis/sl-jdbc#querying-the-api-for-metric-metadata) to query metrics using the API. - - To learn more about the sophisticated integrations that connect to the dbt Semantic Layer, refer to [Available integrations](/docs/use-dbt-semantic-layer/avail-sl-integrations) for more info. diff --git a/website/snippets/_sl-plan-info.md b/website/snippets/_sl-plan-info.md index 083ab2209bc..fe4e6024226 100644 --- a/website/snippets/_sl-plan-info.md +++ b/website/snippets/_sl-plan-info.md @@ -1,2 +1,2 @@ -To define and query metrics with the {props.product}, you must be on a {props.plan} multi-tenant plan .


+To define and query metrics with the {props.product}, you must be on a {props.plan} account. Suitable for both Multi-tenant and Single-tenant accounts. Note: Single-tenant accounts should contact their account representative for necessary setup and enablement.

diff --git a/website/snippets/_v2-sl-prerequisites.md b/website/snippets/_v2-sl-prerequisites.md index c80db4d1c8f..6a9babcf0e0 100644 --- a/website/snippets/_v2-sl-prerequisites.md +++ b/website/snippets/_v2-sl-prerequisites.md @@ -1,15 +1,16 @@ -- Have a dbt Cloud Team or Enterprise [multi-tenant](/docs/cloud/about-cloud/regions-ip-addresses) deployment. Single-tenant coming soon. -- 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. +- Have a dbt Cloud Team or Enterprise account. Suitable for both Multi-tenant and Single-tenant deploymnet. + - Note: Single-tenant accounts should contact their account representative for necessary setup and enablement. +- Have both your production and development environments running [dbt version 1.6 or higher](/docs/dbt-versions/upgrade-core-in-cloud). - Use Snowflake, BigQuery, Databricks, or Redshift. - 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. - - To access the API and query metrics in downstream tools, you must have a dbt Cloud [Team or Enterprise](https://www.getdbt.com/pricing/) account. dbt Core or Developer accounts can define metrics but won't be able to dynamically query them.
+ - dbt Core or Developer accounts can define metrics but won't be able to dynamically query them.
- Understand [MetricFlow's](/docs/build/about-metricflow) key concepts, which powers the latest dbt Semantic Layer. -- Note that SSH tunneling for [Postgres and Redshift](/docs/cloud/connect-data-platform/connect-redshift-postgresql-alloydb) connections, [PrivateLink](/docs/cloud/secure/about-privatelink), and [Single sign-on (SSO)](/docs/cloud/manage-access/sso-overview) isn't supported yet. +- Note that SSH tunneling for [Postgres and Redshift](/docs/cloud/connect-data-platform/connect-redshift-postgresql-alloydb) connections, [PrivateLink](/docs/cloud/secure/about-privatelink), and [Single sign-on (SSO)](/docs/cloud/manage-access/sso-overview) doesn't supported the dbt Semantic Layer yet. From 869a56d0977712da238ac240e014f883a678f7b4 Mon Sep 17 00:00:00 2001 From: Ben Cassell <98852248+benc-db@users.noreply.github.com> Date: Thu, 30 Nov 2023 12:58:50 -0800 Subject: [PATCH 003/134] Update databricks-configs.md to cover compute per model --- .../resource-configs/databricks-configs.md | 144 ++++++++++++++++++ 1 file changed, 144 insertions(+) diff --git a/website/docs/reference/resource-configs/databricks-configs.md b/website/docs/reference/resource-configs/databricks-configs.md index a3b00177967..8b09eb5326c 100644 --- a/website/docs/reference/resource-configs/databricks-configs.md +++ b/website/docs/reference/resource-configs/databricks-configs.md @@ -361,6 +361,150 @@ insert into analytics.replace_where_incremental + + +## Selecting compute per model + +Beginning in version 1.7.2, you can assign which compute to use on a per-model basis. +To take advantage of this capability, you will need to add compute blocks to your profile: + + + +```yaml + +: + target: # this is the default target + outputs: + : + type: databricks + catalog: [optional catalog name if you are using Unity Catalog] + schema: [schema name] # Required + host: [yourorg.databrickshost.com] # Required + + ### This path is used as the default compute + http_path: [/sql/your/http/path] # Required + + ### New compute section + compute: + + ### Name that you will use to refer to an alternate compute + AltCompute: + http_path: [‘/sql/your/http/path’] # Required of each alternate compute + + ### A third named compute, use whatever name you like + Compute2: + http_path: [‘/some/other/path’] # Required of each alternate compute + ... + + : # additional targets + ... + ### For each target, you need to define the same compute, + ### but you can specify different paths + compute: + + ### Name that you will use to refer to an alternate compute + Compute1: + http_path: [‘/sql/your/http/path’] # Required of each alternate compute + + ### A third named compute, use whatever name you like + Compute2: + http_path: [‘/some/other/path’] # Required of each alternate compute + ... + +``` + + + +The new compute section is a map of user chosen names to objects with an http_path property. +Each compute is keyed by a name which is used in the model definition/configuration to indicate which compute you wish to use for that model/selection of models. + +:::note + +You need to use the same set of names for compute across your outputs, though you may supply different http_paths, allowing you to use different computes in different deployment scenarios. + +::: + +### Specifying the compute for models + +As with many other configuaration options, you can specify the compute for a model in multiple ways, using `databricks_compute`. +In your `dbt_project.yml`, the selected compute can be specified for all the models in a given directory: + + + +```yaml + +... + +models: + +databricks_compute: "Compute1" # use the `Compute1` warehouse/cluster for all models in the project... + my_project: + clickstream: + +databricks_compute: "Compute2" # ...except for the models in the `clickstream` folder, which will use `Compute2`. + +snapshots: + +databricks_compute: "Compute1" # all Snapshot models are configured to use `Compute1`. + +``` + + + +For an individual model the compute can be specified in the model config in your schema file. + + + +```yaml + +models: + - name: table_model + config: + databricks_compute: Compute1 + columns: + - name: id + data_type: int + +``` + + + + +Alternatively the warehouse can be specified in the config block of a model's SQL file. + + + +```sql + +{{ + config( + materialized='table', + databricks_compute='Compute1' + ) +}} +select * from {{ ref('seed') }} + +``` + + + +:::note + +In the absence of a specified compute, we will default to the compute specified by http_path in the top level of the output section in your profile. +This is also the compute that will be used for tasks not associated with a particular model, such as gathering metadata for all tables in a schema. + +::: + +To validate that the specified compute is being used, look for lines in your dbt.log like: + +``` +Databricks adapter ... using default compute resource. +``` + +or + +``` +Databricks adapter ... using compute resource . +``` + + ## Persisting model descriptions From 51ffdc274a6308e044e07cb0ae741ac83482c993 Mon Sep 17 00:00:00 2001 From: Ben Cassell <98852248+benc-db@users.noreply.github.com> Date: Thu, 30 Nov 2023 13:30:49 -0800 Subject: [PATCH 004/134] Update website/docs/reference/resource-configs/databricks-configs.md Co-authored-by: Amy Chen <46451573+amychen1776@users.noreply.github.com> --- 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 8b09eb5326c..e4027edaf2e 100644 --- a/website/docs/reference/resource-configs/databricks-configs.md +++ b/website/docs/reference/resource-configs/databricks-configs.md @@ -388,7 +388,7 @@ To take advantage of this capability, you will need to add compute blocks to you compute: ### Name that you will use to refer to an alternate compute - AltCompute: + Compute1: http_path: [‘/sql/your/http/path’] # Required of each alternate compute ### A third named compute, use whatever name you like From 7389ad9fd15212192a79c6a92cc9e7c325fb6825 Mon Sep 17 00:00:00 2001 From: Ben Cassell <98852248+benc-db@users.noreply.github.com> Date: Thu, 30 Nov 2023 13:31:49 -0800 Subject: [PATCH 005/134] Update website/docs/reference/resource-configs/databricks-configs.md Co-authored-by: Amy Chen <46451573+amychen1776@users.noreply.github.com> --- .../docs/reference/resource-configs/databricks-configs.md | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/website/docs/reference/resource-configs/databricks-configs.md b/website/docs/reference/resource-configs/databricks-configs.md index e4027edaf2e..bb226045788 100644 --- a/website/docs/reference/resource-configs/databricks-configs.md +++ b/website/docs/reference/resource-configs/databricks-configs.md @@ -423,7 +423,14 @@ Each compute is keyed by a name which is used in the model definition/configurat You need to use the same set of names for compute across your outputs, though you may supply different http_paths, allowing you to use different computes in different deployment scenarios. ::: +To configure this inside of dbt Cloud, use the [extended attributes feature](/docs/dbt-cloud-environments#extended-attributes-) on the desired environments. You can input them as such. +```yaml +compute: + Compute1: + http_path:[`/some/other/path'] + Compute2: + http_path:[`/some/other/path'] ### Specifying the compute for models As with many other configuaration options, you can specify the compute for a model in multiple ways, using `databricks_compute`. From 2434bda1646fcf63bf81d7bb61d8bdcee67323a9 Mon Sep 17 00:00:00 2001 From: Ben Cassell <98852248+benc-db@users.noreply.github.com> Date: Thu, 30 Nov 2023 13:32:03 -0800 Subject: [PATCH 006/134] Update website/docs/reference/resource-configs/databricks-configs.md Co-authored-by: Amy Chen <46451573+amychen1776@users.noreply.github.com> --- 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 bb226045788..800ba7430f0 100644 --- a/website/docs/reference/resource-configs/databricks-configs.md +++ b/website/docs/reference/resource-configs/databricks-configs.md @@ -416,7 +416,7 @@ To take advantage of this capability, you will need to add compute blocks to you The new compute section is a map of user chosen names to objects with an http_path property. -Each compute is keyed by a name which is used in the model definition/configuration to indicate which compute you wish to use for that model/selection of models. +Each compute is keyed by a name which is used in the model definition/configuration to indicate which compute you wish to use for that model/selection of models. We recommend choosing a name that is easily recognized as to what compute resources you're using, such as what the compute resource is named inside of the Databricks UI. :::note From 99a0345d161a6a956669cc1f60f20370937179a8 Mon Sep 17 00:00:00 2001 From: Ben Cassell <98852248+benc-db@users.noreply.github.com> Date: Thu, 30 Nov 2023 16:29:52 -0800 Subject: [PATCH 007/134] Update databricks-configs.md - Adding python discussion. --- .../resource-configs/databricks-configs.md | 25 ++++++++++++++++++- 1 file changed, 24 insertions(+), 1 deletion(-) diff --git a/website/docs/reference/resource-configs/databricks-configs.md b/website/docs/reference/resource-configs/databricks-configs.md index 800ba7430f0..f218cec3172 100644 --- a/website/docs/reference/resource-configs/databricks-configs.md +++ b/website/docs/reference/resource-configs/databricks-configs.md @@ -363,7 +363,7 @@ insert into analytics.replace_where_incremental -## Selecting compute per model +### Selecting compute per model Beginning in version 1.7.2, you can assign which compute to use on a per-model basis. To take advantage of this capability, you will need to add compute blocks to your profile: @@ -511,6 +511,29 @@ or Databricks adapter ... using compute resource . ``` +### Selecting compute for a Python model + +Materializing a python model requires execution of SQL as well as python. +Specifically, if your python model is incremental, the current execution pattern involves executing python to create a staging table that is then merged into your target table using SQL. +The python code needs to run on an all purpose cluster, while the SQL code can run on an all purpose cluster or a SQL Warehouse. +When you specify your `databricks_compute` for a python model, you are currently only specifying which compute to use when running the model-specific SQL. +If you wish to use a different compute for executing the python itself, you must specify an alternate `http_path` in the config for the model: + + + + ```python + +def model(dbt, session): + dbt.config( + http_path="sql/protocolv1/..." + ) + +``` + + + +If your default compute is a SQL Warehouse, you will need to specify an all purpose cluster `http_path` in this way. + ## Persisting model descriptions From c129674e9d9f0eca1421bc7f35228c5e5911f7dc Mon Sep 17 00:00:00 2001 From: Ben Cassell <98852248+benc-db@users.noreply.github.com> Date: Thu, 30 Nov 2023 16:44:04 -0800 Subject: [PATCH 008/134] Update databricks-configs.md - clean up --- .../resource-configs/databricks-configs.md | 16 ++++++++++++---- 1 file changed, 12 insertions(+), 4 deletions(-) diff --git a/website/docs/reference/resource-configs/databricks-configs.md b/website/docs/reference/resource-configs/databricks-configs.md index f218cec3172..49aa4dd3a84 100644 --- a/website/docs/reference/resource-configs/databricks-configs.md +++ b/website/docs/reference/resource-configs/databricks-configs.md @@ -363,9 +363,11 @@ insert into analytics.replace_where_incremental -### Selecting compute per model +## Selecting compute per model -Beginning in version 1.7.2, you can assign which compute to use on a per-model basis. +Beginning in version 1.7.2, you can assign which compute resource to use on a per-model basis. +For SQL models, you can select a SQL Warehouse (serverless or provisioned) or an all purpose cluster. +For details on how this feature interacts with python models, see [Specifying compute for Python models](#specifying-compute-for-python-models). To take advantage of this capability, you will need to add compute blocks to your profile: @@ -423,14 +425,20 @@ Each compute is keyed by a name which is used in the model definition/configurat You need to use the same set of names for compute across your outputs, though you may supply different http_paths, allowing you to use different computes in different deployment scenarios. ::: -To configure this inside of dbt Cloud, use the [extended attributes feature](/docs/dbt-cloud-environments#extended-attributes-) on the desired environments. You can input them as such. + +To configure this inside of dbt Cloud, use the [extended attributes feature](/docs/dbt-cloud-environments#extended-attributes-) on the desired environments. +You can input like so: ```yaml + compute: Compute1: http_path:[`/some/other/path'] Compute2: http_path:[`/some/other/path'] + +``` + ### Specifying the compute for models As with many other configuaration options, you can specify the compute for a model in multiple ways, using `databricks_compute`. @@ -511,7 +519,7 @@ or Databricks adapter ... using compute resource . ``` -### Selecting compute for a Python model +### Specifying compute for Python models Materializing a python model requires execution of SQL as well as python. Specifically, if your python model is incremental, the current execution pattern involves executing python to create a staging table that is then merged into your target table using SQL. From 1d6bf4997b88f7e99ef1c6fb10cd125a3370545f Mon Sep 17 00:00:00 2001 From: Ben Cassell <98852248+benc-db@users.noreply.github.com> Date: Thu, 30 Nov 2023 16:48:30 -0800 Subject: [PATCH 009/134] Update databricks-configs.md - minor touch ups --- .../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 49aa4dd3a84..8426846997c 100644 --- a/website/docs/reference/resource-configs/databricks-configs.md +++ b/website/docs/reference/resource-configs/databricks-configs.md @@ -418,7 +418,8 @@ To take advantage of this capability, you will need to add compute blocks to you The new compute section is a map of user chosen names to objects with an http_path property. -Each compute is keyed by a name which is used in the model definition/configuration to indicate which compute you wish to use for that model/selection of models. We recommend choosing a name that is easily recognized as to what compute resources you're using, such as what the compute resource is named inside of the Databricks UI. +Each compute is keyed by a name which is used in the model definition/configuration to indicate which compute you wish to use for that model/selection of models. +We recommend choosing a name that is easily recognized as the compute resources you're using, such as the name of the compute resource inside the Databricks UI. :::note @@ -426,8 +427,7 @@ You need to use the same set of names for compute across your outputs, though yo ::: -To configure this inside of dbt Cloud, use the [extended attributes feature](/docs/dbt-cloud-environments#extended-attributes-) on the desired environments. -You can input like so: +To configure this inside of dbt Cloud, use the [extended attributes feature](/docs/dbt-cloud-environments#extended-attributes-) on the desired environments: ```yaml From 7c1ab3b2e0045f462e3146305152ab107dfe3d5a Mon Sep 17 00:00:00 2001 From: Jason Karlavige Date: Fri, 1 Dec 2023 09:58:02 -0500 Subject: [PATCH 010/134] add badge styling --- .../communitySpotlightCard/index.js | 74 ++++++++++++------- .../communitySpotlightCard/styles.module.css | 20 ++++- 2 files changed, 65 insertions(+), 29 deletions(-) diff --git a/website/src/components/communitySpotlightCard/index.js b/website/src/components/communitySpotlightCard/index.js index 08707a93dd4..32c5ab55346 100644 --- a/website/src/components/communitySpotlightCard/index.js +++ b/website/src/components/communitySpotlightCard/index.js @@ -50,21 +50,24 @@ function CommunitySpotlightCard({ frontMatter, isSpotlightMember = false }) { socialLinks } = frontMatter - return ( - + return ( + +
+ Community Award Recipient +
{image && (
{id && isSpotlightMember ? ( - {title} + {title} ) : ( - - {title} + + {title} )}
@@ -72,19 +75,26 @@ function CommunitySpotlightCard({ frontMatter, isSpotlightMember = false }) {
{!isSpotlightMember && id ? (

- {title} + + {title} +

- ) : ( + ) : (

{title}

)} - {pronouns &&
{pronouns}
} - + {pronouns && ( +
{pronouns}
+ )} + {isSpotlightMember && (
{(jobTitle || companyName) && (
{jobTitle && jobTitle} - {jobTitle && companyName && ', '} + {jobTitle && companyName && ", "} {companyName && companyName}
)} @@ -101,7 +111,10 @@ function CommunitySpotlightCard({ frontMatter, isSpotlightMember = false }) {
)} {description && !isSpotlightMember && ( -

+

)} {socialLinks && isSpotlightMember && socialLinks?.length > 0 && (

@@ -109,8 +122,15 @@ function CommunitySpotlightCard({ frontMatter, isSpotlightMember = false }) { <> {item?.name && item?.link && ( <> - {i !== 0 && ' | '} - {item.name} + {i !== 0 && " | "} + + {item.name} + )} @@ -118,21 +138,25 @@ function CommunitySpotlightCard({ frontMatter, isSpotlightMember = false }) {
)} {id && !isSpotlightMember && ( - Read More + > + Read More + )}
{description && isSpotlightMember && (

About

-

- +

)} - ) + ); } // Truncate text diff --git a/website/src/components/communitySpotlightCard/styles.module.css b/website/src/components/communitySpotlightCard/styles.module.css index 253a561ebea..5df85c8a4cc 100644 --- a/website/src/components/communitySpotlightCard/styles.module.css +++ b/website/src/components/communitySpotlightCard/styles.module.css @@ -15,6 +15,19 @@ header.spotlightMemberCard { div.spotlightMemberCard { margin-bottom: 2.5rem; } +.spotlightMemberCard .awardBadge { + flex: 0 0 100%; + margin-bottom: .5rem; +} +.spotlightMemberCard .awardBadge span { + max-width: fit-content; + color: #fff; + background: var(--ifm-color-primary); + display: block; + border-radius: 1rem; + padding: 5px 10px; + font-size: .7rem; +} .spotlightMemberCard .spotlightMemberImgContainer { flex: 0 0 100%; } @@ -81,6 +94,9 @@ div.spotlightMemberCard { margin-bottom: 0; padding-left: 0; } + .spotlightMemberCard .awardBadge span { + font-size: .8rem; + } .spotlightMemberCard .spotlightMemberImgContainer { flex: 0 0 346px; margin-right: 2rem; @@ -100,7 +116,3 @@ div.spotlightMemberCard { line-height: 2rem; } } - - - - From 4547e4b333e2b9daa363644a69e97280b1f8f8d6 Mon Sep 17 00:00:00 2001 From: Jason Karlavige Date: Fri, 1 Dec 2023 10:05:27 -0500 Subject: [PATCH 011/134] add communityAward frontmatter property and add examples --- website/docs/community/spotlight/josh-devlin.md | 1 + website/docs/community/spotlight/sydney-burns.md | 1 + .../src/components/communitySpotlightCard/index.js | 11 +++++++---- 3 files changed, 9 insertions(+), 4 deletions(-) diff --git a/website/docs/community/spotlight/josh-devlin.md b/website/docs/community/spotlight/josh-devlin.md index d8a9b91c282..6036105940b 100644 --- a/website/docs/community/spotlight/josh-devlin.md +++ b/website/docs/community/spotlight/josh-devlin.md @@ -23,6 +23,7 @@ socialLinks: link: https://www.linkedin.com/in/josh-devlin/ dateCreated: 2023-11-10 hide_table_of_contents: true +communityAward: true --- ## When did you join the dbt community and in what way has it impacted your career? diff --git a/website/docs/community/spotlight/sydney-burns.md b/website/docs/community/spotlight/sydney-burns.md index ecebd6cdec0..25278ac6ecf 100644 --- a/website/docs/community/spotlight/sydney-burns.md +++ b/website/docs/community/spotlight/sydney-burns.md @@ -15,6 +15,7 @@ socialLinks: link: https://www.linkedin.com/in/sydneyeburns/ dateCreated: 2023-11-09 hide_table_of_contents: true +communityAward: true --- ## When did you join the dbt community and in what way has it impacted your career? diff --git a/website/src/components/communitySpotlightCard/index.js b/website/src/components/communitySpotlightCard/index.js index 32c5ab55346..b134fff7cb9 100644 --- a/website/src/components/communitySpotlightCard/index.js +++ b/website/src/components/communitySpotlightCard/index.js @@ -47,7 +47,8 @@ function CommunitySpotlightCard({ frontMatter, isSpotlightMember = false }) { jobTitle, companyName, organization, - socialLinks + socialLinks, + communityAward } = frontMatter return ( @@ -55,9 +56,11 @@ function CommunitySpotlightCard({ frontMatter, isSpotlightMember = false }) { isSpotlightMember={isSpotlightMember} frontMatter={frontMatter} > -
- Community Award Recipient -
+ {communityAward ? ( +
+ Community Award Recipient +
+ ) : null} {image && (
{id && isSpotlightMember ? ( From de9f3c17a0cd4dd883ba7d4911dcd838b749d914 Mon Sep 17 00:00:00 2001 From: Jason Karlavige Date: Fri, 1 Dec 2023 10:51:22 -0500 Subject: [PATCH 012/134] add function to prep meta description text from description field --- .../communitySpotlightCard/index.js | 37 ++++++++++++++++++- .../communitySpotlightList/index.js | 1 + 2 files changed, 36 insertions(+), 2 deletions(-) diff --git a/website/src/components/communitySpotlightCard/index.js b/website/src/components/communitySpotlightCard/index.js index b134fff7cb9..122edee8f06 100644 --- a/website/src/components/communitySpotlightCard/index.js +++ b/website/src/components/communitySpotlightCard/index.js @@ -1,5 +1,6 @@ import React from 'react' import Link from '@docusaurus/Link'; +import Head from "@docusaurus/Head"; import styles from './styles.module.css'; import imageCacheWrapper from '../../../functions/image-cache-wrapper'; @@ -51,11 +52,26 @@ function CommunitySpotlightCard({ frontMatter, isSpotlightMember = false }) { communityAward } = frontMatter + // Get meta description text + const metaDescription = stripHtml(description) + return ( + {isSpotlightMember && metaDescription ? ( + + + + + ) : null} {communityAward ? (
Community Award Recipient @@ -162,12 +178,12 @@ function CommunitySpotlightCard({ frontMatter, isSpotlightMember = false }) { ); } -// Truncate text +// Truncate description text for community member cards function truncateText(str) { // Max length of string let maxLength = 300 - // Check if anchor link starts within first 300 characters + // Check if anchor link starts within maxLength let hasLinks = false if(str.substring(0, maxLength - 3).match(/(?:]+)>)/gi, "") + + // Strip new lines and return 130 character substring for description + const updatedDesc = strippedHtml + ?.substring(0, maxLength) + ?.replace(/(\r\n|\r|\n)/g, ""); + + return desc?.length > maxLength ? `${updatedDesc}...` : updatedDesc +} + export default CommunitySpotlightCard diff --git a/website/src/components/communitySpotlightList/index.js b/website/src/components/communitySpotlightList/index.js index 6885f5ff2ac..ed0dbf6d653 100644 --- a/website/src/components/communitySpotlightList/index.js +++ b/website/src/components/communitySpotlightList/index.js @@ -36,6 +36,7 @@ function CommunitySpotlightList({ spotlightData }) { {metaTitle} + Date: Fri, 1 Dec 2023 14:39:08 -0500 Subject: [PATCH 013/134] update static URLs for both US MT and US MC --- website/docs/docs/cloud/about-cloud/regions-ip-addresses.md | 4 ++-- 1 file changed, 2 insertions(+), 2 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 cc1c2531f56..7f32505d56e 100644 --- a/website/docs/docs/cloud/about-cloud/regions-ip-addresses.md +++ b/website/docs/docs/cloud/about-cloud/regions-ip-addresses.md @@ -11,8 +11,8 @@ 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 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 us-east-1 (N.Virginia) | {account prefix}.us1.dbt.com | [Located in Account Settings](#locating-your-dbt-cloud-ip-addresses) | ❌ | ❌ | ✅ | +| 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
52.3.77.232
3.214.191.130
34.233.79.135 | ✅ | ✅ | ✅ | +| North America Cell 1 [^1] | AWS us-east-1 (N. Virginia) | {account prefix}.us1.dbt.com | 52.45.144.63
54.81.134.249
52.22.161.231
52.3.77.232
3.214.191.130
34.233.79.135 | ❌ | ❌ | ✅ | | 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 | ❌ | ❌ | ✅ | From 00dac80447ece75e118ad8457527a9803c57ad7a Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Mon, 4 Dec 2023 06:10:41 -0500 Subject: [PATCH 014/134] Update semantic-models.md fix typo per slack feedback --- website/docs/docs/build/semantic-models.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/build/semantic-models.md b/website/docs/docs/build/semantic-models.md index 09f808d7a17..5c6883cdcee 100644 --- a/website/docs/docs/build/semantic-models.md +++ b/website/docs/docs/build/semantic-models.md @@ -43,7 +43,7 @@ semantic_models: - name: the_name_of_the_semantic_model ## Required description: same as always ## Optional model: ref('some_model') ## Required - default: ## Required + defaults: ## Required agg_time_dimension: dimension_name ## Required if the model contains dimensions entities: ## Required - see more information in entities From 3590022abfc320305002404e27a7d812965a3617 Mon Sep 17 00:00:00 2001 From: Ernesto Ongaro Date: Mon, 4 Dec 2023 11:56:34 +0000 Subject: [PATCH 015/134] Add related defer in Cloud doc --- website/docs/reference/node-selection/defer.md | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/website/docs/reference/node-selection/defer.md b/website/docs/reference/node-selection/defer.md index 03c3b2aac12..81a0f4a0328 100644 --- a/website/docs/reference/node-selection/defer.md +++ b/website/docs/reference/node-selection/defer.md @@ -234,3 +234,8 @@ dbt will check to see if `dev_alice.model_a` exists. If it doesn't exist, dbt wi + +## Related docs + +- [Using defer in dbt Cloud](/docs/cloud/about-cloud-develop-defer) + From 97b4f415bf91741e7189421f9113fa58d273991d Mon Sep 17 00:00:00 2001 From: john-rock Date: Mon, 4 Dec 2023 09:19:06 -0500 Subject: [PATCH 016/134] remove changes for demo in pr --- website/docs/community/spotlight/josh-devlin.md | 1 - website/docs/community/spotlight/sydney-burns.md | 1 - 2 files changed, 2 deletions(-) diff --git a/website/docs/community/spotlight/josh-devlin.md b/website/docs/community/spotlight/josh-devlin.md index 6036105940b..d8a9b91c282 100644 --- a/website/docs/community/spotlight/josh-devlin.md +++ b/website/docs/community/spotlight/josh-devlin.md @@ -23,7 +23,6 @@ socialLinks: link: https://www.linkedin.com/in/josh-devlin/ dateCreated: 2023-11-10 hide_table_of_contents: true -communityAward: true --- ## When did you join the dbt community and in what way has it impacted your career? diff --git a/website/docs/community/spotlight/sydney-burns.md b/website/docs/community/spotlight/sydney-burns.md index 25278ac6ecf..ecebd6cdec0 100644 --- a/website/docs/community/spotlight/sydney-burns.md +++ b/website/docs/community/spotlight/sydney-burns.md @@ -15,7 +15,6 @@ socialLinks: link: https://www.linkedin.com/in/sydneyeburns/ dateCreated: 2023-11-09 hide_table_of_contents: true -communityAward: true --- ## When did you join the dbt community and in what way has it impacted your career? From cda1f755137d95fb7b55e087f6cd92e3c237b34e Mon Sep 17 00:00:00 2001 From: Amy Chen <46451573+amychen1776@users.noreply.github.com> Date: Mon, 4 Dec 2023 13:30:29 -0500 Subject: [PATCH 017/134] Update service-tokens.md --- website/docs/docs/dbt-cloud-apis/service-tokens.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/dbt-cloud-apis/service-tokens.md b/website/docs/docs/dbt-cloud-apis/service-tokens.md index f1369711d2b..230a08023a8 100644 --- a/website/docs/docs/dbt-cloud-apis/service-tokens.md +++ b/website/docs/docs/dbt-cloud-apis/service-tokens.md @@ -51,7 +51,7 @@ Job admin service tokens can authorize requests for viewing, editing, and creati Member service tokens can authorize requests for viewing and editing resources, triggering runs, and inviting members to the account. Tokens assigned the Member permission set will have the same permissions as a Member user. For more information about Member users, see "[Self-service permissions](/docs/cloud/manage-access/self-service-permissions)". **Read-only**
-Read-only service tokens can authorize requests for viewing a read-only dashboard, viewing generated documentation, and viewing source freshness reports. +Read-only service tokens can authorize requests for viewing a read-only dashboard, viewing generated documentation, and viewing source freshness reports. This token can access retrieve account level information endpoints on the Admin API and authorize requests to the Discovery API. ### Enterprise plans using service account tokens From d553b0dd2fc3132aa7f70dda3d8738eea763ed83 Mon Sep 17 00:00:00 2001 From: Doug Beatty <44704949+dbeatty10@users.noreply.github.com> Date: Mon, 4 Dec 2023 12:10:07 -0700 Subject: [PATCH 018/134] Instructions for reaching Cloud support via email or in-product chat --- website/docs/docs/dbt-support.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/dbt-support.md b/website/docs/docs/dbt-support.md index 40968b9d763..19cd2b94e37 100644 --- a/website/docs/docs/dbt-support.md +++ b/website/docs/docs/dbt-support.md @@ -17,7 +17,7 @@ If you're developing on the command line (CLI) and have questions or need some h ## dbt Cloud support -The global dbt Support team is available to dbt Cloud customers by email or in-product live chat. We want to help you work through implementing and utilizing dbt Cloud at your organization. Have a question you can't find an answer to in [our docs](https://docs.getdbt.com/) or [the Community Forum](https://discourse.getdbt.com/)? Our Support team is here to `dbt help` you! +The global dbt Support team is available to dbt Cloud customers by email (support@getdbt.com) or in-product live chat (💬). We want to help you work through implementing and utilizing dbt Cloud at your organization. Have a question you can't find an answer to in [our docs](https://docs.getdbt.com/) or [the Community Forum](https://discourse.getdbt.com/)? Our Support team is here to `dbt help` you! - **Enterprise plans** — Priority [support](#severity-level-for-enterprise-support), options for custom support coverage hours, implementation assistance, dedicated management, and dbt Labs security reviews depending on price point. - **Developer and Team plans** — 24x5 support (no service level agreement (SLA); [contact Sales](https://www.getdbt.com/pricing/) for Enterprise plan inquiries). From 384066249358358a05dead9b6438369f9267b2da Mon Sep 17 00:00:00 2001 From: Mike Alfare Date: Mon, 4 Dec 2023 14:55:08 -0500 Subject: [PATCH 019/134] add materialized view configuration --- .../resource-configs/bigquery-configs.md | 97 +++++++++++++++++++ 1 file changed, 97 insertions(+) diff --git a/website/docs/reference/resource-configs/bigquery-configs.md b/website/docs/reference/resource-configs/bigquery-configs.md index ffbaa37c059..eabefe90d4e 100644 --- a/website/docs/reference/resource-configs/bigquery-configs.md +++ b/website/docs/reference/resource-configs/bigquery-configs.md @@ -718,3 +718,100 @@ Views with this configuration will be able to select from objects in `project_1. The `grant_access_to` config is not thread-safe when multiple views need to be authorized for the same dataset. The initial `dbt run` operation after a new `grant_access_to` config is added should therefore be executed in a single thread. Subsequent runs using the same configuration will not attempt to re-apply existing access grants, and can make use of multiple threads. + + +## Materialized views + +The BigQuery adapter supports [materialized views](https://cloud.google.com/bigquery/docs/materialized-views-intro) +with the following configuration parameters: + +| Parameter | Type | Default | Change Monitoring Support | Reference | +|------------------------------|----------------------|---------|---------------------------|--------------------------------------------------| +| `cluster_by` | LIST[STRING] | `None` | DROP/CREATE | [Clustering](#clustering-clause) | +| `partition_by` | DICT | `None` | DROP/CREATE | [Partitioning](#partition-clause) | +| `enable_refresh` | BOOLEAN | `True` | ALTER | [Auto-refresh](#auto-refresh) | +| `refresh_interval_minutes` | FLOAT | `30` | ALTER | [Auto-refresh](#auto-refresh) | +| `max_staleness` (in Preview) | INTERVAL | `None` | ALTER | [Auto-refresh](#auto-refresh) | +| `description` | STRING | `None` | ALTER | | +| `labels` | DICT[STRING, STRING] | `None` | ALTER | [Labels](#specifying-labels) | +| `hours_to_expiration` | INTEGER | `None` | ALTER | [Table expiration](controlling-table-expiration) | +| `kms_key_name` | STRING | `None` | ALTER | [KMS encryption](#using-kms-encryption) | + +#### Sample model file: + + + +```sql +{{ config( + materialized='materialized_view', + cluster_by=['', ...], + partition_by={ + 'field': '', + 'data_type': '', + + # only if `data_type` is not 'int64' + 'granularity': '' + + # only if `data_type` is 'int64' + 'range': { + 'start': , + 'end': , + 'interval': , + } + }, + + # auto-refresh options + enable_refresh=, + refresh_interval_minutes=, + max_staleness='', + + # additional options + description='', + labels={'': '', ...}, + hours_to_expiration=, + kms_key_name='', +) }} + +select * from {{ ref('my_base_table') }} +``` + + + +Many of these parameters correspond to their table counterparts and have been linked above. +The set of parameters which are unique to materialized views covers auto-refresh functionality, which is covered [below](#auto-refresh). + +Find more information about these parameters in the BigQuery docs: +- [CREATE MATERIALIZED VIEW statement](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-definition-language#create_materialized_view_statement) +- [materialized_view_option_list](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-definition-language#materialized_view_option_list) + +### Auto-refresh + +| Parameter | Type | Default | Change Monitoring Support | +|-------------------------------|----------|---------|---------------------------| +| `enable_refresh` | BOOLEAN | `True` | ALTER | +| `max_staleness` (in Preview) | INTERVAL | `None` | ALTER | +| `refresh_interval_minutes` | FLOAT | `30` | ALTER | + +BigQuery supports [automatic refresh](https://cloud.google.com/bigquery/docs/materialized-views-manage#automatic_refresh) configuration for materialized views. +By default, a materialized view will automatically refresh within 5 minutes of changes in the base table, but no more frequently than every 30 minutes. +BigQuery only officially supports configuration of the frequency (the "30 minutes" part); +however, there is a feature in preview that allows for configuration of the staleness (the "5 minutes" part). +dbt will monitor these parameters for changes and apply them using an `ALTER` statement. + +Find more information about these parameters in the BigQuery docs: +- [materialized_view_option_list](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-definition-language#materialized_view_option_list) +- [max_staleness](https://cloud.google.com/bigquery/docs/materialized-views-create#max_staleness) + +### Limitations + +As with most data platforms, there are limitations associated with materialized views. Some worth noting include: + +- Materialized view SQL has a [limited feature set](https://cloud.google.com/bigquery/docs/materialized-views-create#supported-mvs) +- Materialized view SQL cannot be updated; the materialized view must go through a `--full-refresh` (DROP/CREATE) +- The `partition_by` clause on a materialized view must match that of the underlying base table +- While materialized views can have descriptions, materialized view *columns* cannot +- Recreating/dropping the base table requires recreating/dropping the materialized view + +Find more information about materialized view limitations in Google's BigQuery [docs](https://cloud.google.com/bigquery/docs/materialized-views-intro#limitations). + + From d468848bb6c59f2b09486a9a1c6e85c3a0b22a65 Mon Sep 17 00:00:00 2001 From: Aaron Bini Date: Mon, 4 Dec 2023 12:16:53 -0800 Subject: [PATCH 020/134] [ENT-1039] add link to the new VCS docs on the about-privatelink page --- website/docs/docs/cloud/secure/about-privatelink.md | 1 + 1 file changed, 1 insertion(+) diff --git a/website/docs/docs/cloud/secure/about-privatelink.md b/website/docs/docs/cloud/secure/about-privatelink.md index b31e4c08a26..2134ab25cfe 100644 --- a/website/docs/docs/cloud/secure/about-privatelink.md +++ b/website/docs/docs/cloud/secure/about-privatelink.md @@ -23,3 +23,4 @@ dbt Cloud supports the following data platforms for use with the PrivateLink fea - [Databricks](/docs/cloud/secure/databricks-privatelink) - [Redshift](/docs/cloud/secure/redshift-privatelink) - [Postgres](/docs/cloud/secure/postgres-privatelink) +- [VCS](/docs/cloud/secure/vcs-privatelink) From ea0f2d8627c894100cbfd26c5c6d3870f6e85b63 Mon Sep 17 00:00:00 2001 From: "Leona B. Campbell" <3880403+runleonarun@users.noreply.github.com> Date: Mon, 4 Dec 2023 13:41:23 -0800 Subject: [PATCH 021/134] Updating QS to reflect service account correct roles --- website/docs/guides/bigquery-qs.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/guides/bigquery-qs.md b/website/docs/guides/bigquery-qs.md index c1f632f0621..9cf2447fa52 100644 --- a/website/docs/guides/bigquery-qs.md +++ b/website/docs/guides/bigquery-qs.md @@ -78,7 +78,7 @@ In order to let dbt connect to your warehouse, you'll need to generate a keyfile - Click **Next** to create a new service account. 2. Create a service account for your new project from the [Service accounts page](https://console.cloud.google.com/projectselector2/iam-admin/serviceaccounts?supportedpurview=project). For more information, refer to [Create a service account](https://developers.google.com/workspace/guides/create-credentials#create_a_service_account) in the Google Cloud docs. As an example for this guide, you can: - Type `dbt-user` as the **Service account name** - - From the **Select a role** dropdown, choose **BigQuery Admin** and click **Continue** + - From the **Select a role** dropdown, choose **BigQuery Job User** and **BigQuery Data Editor** roles and click **Continue** - Leave the **Grant users access to this service account** fields blank - Click **Done** 3. Create a service account key for your new project from the [Service accounts page](https://console.cloud.google.com/iam-admin/serviceaccounts?walkthrough_id=iam--create-service-account-keys&start_index=1#step_index=1). For more information, refer to [Create a service account key](https://cloud.google.com/iam/docs/creating-managing-service-account-keys#creating) in the Google Cloud docs. When downloading the JSON file, make sure to use a filename you can easily remember. For example, `dbt-user-creds.json`. For security reasons, dbt Labs recommends that you protect this JSON file like you would your identity credentials; for example, don't check the JSON file into your version control software. From 2ccbc79b386aa9193357cb0ccbf643f4f55a1f19 Mon Sep 17 00:00:00 2001 From: Mike Alfare Date: Mon, 4 Dec 2023 17:27:58 -0500 Subject: [PATCH 022/134] add dynamic table configuration for snowflake --- .../resource-configs/snowflake-configs.md | 85 ++++++++++--------- 1 file changed, 46 insertions(+), 39 deletions(-) diff --git a/website/docs/reference/resource-configs/snowflake-configs.md b/website/docs/reference/resource-configs/snowflake-configs.md index 30c7966ec68..6c7ba86d353 100644 --- a/website/docs/reference/resource-configs/snowflake-configs.md +++ b/website/docs/reference/resource-configs/snowflake-configs.md @@ -346,82 +346,87 @@ In the configuration format for the model SQL file: ## Dynamic tables -The Snowflake adapter supports [dynamic tables](https://docs.snowflake.com/en/sql-reference/sql/create-dynamic-table). +The Snowflake adapter supports [dynamic tables](https://docs.snowflake.com/en/user-guide/dynamic-tables-about). 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. +Dynamic tables are supported with the following configuration parameters: -### Parameters +| Parameter | Type | Required | Default | Change Monitoring Support | Reference | +|---------------------------|----------|----------|-----------|---------------------------|----------------------------------------------| +| `on_configuration_change` | STRING | NO | `'apply'` | N/A | | +| `target_lag` | STRING | YES | | ALTER | [Target lag](#target-lag) | +| `snowflake_warehouse` | STRING | YES | | ALTER | [Warehouse](#configuring-virtual-warehouses) | -Dynamic tables in `dbt-snowflake` require the following parameters: -- `target_lag` -- `snowflake_warehouse` -- `on_configuration_change` +#### Sample model file: -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). - -### Usage - -You can create a dynamic table by editing _one_ of these files: - -- the SQL file for your model -- the `dbt_project.yml` configuration file - -The following examples create a dynamic table: - - + ```sql {{ config( - materialized = 'dynamic_table', - snowflake_warehouse = 'snowflake_warehouse', - target_lag = '10 minutes', + materialized='dynamic_table', + on_configuration_change='', + target_lag='< { seconds | minutes | hours | days } | DOWNSTREAM>', + snowflake_warehouse='', ) }} + +select * from {{ ref('my_base_table') }} ``` +#### Sample project file: + ```yaml models: path: materialized: dynamic_table - snowflake_warehouse: snowflake_warehouse - target_lag: '10 minutes' + on_configuration_change: '' + snowflake_warehouse: '' + target_lag: '< { seconds | minutes | hours | days } | DOWNSTREAM>' ``` -### Monitored configuration changes +Find more information about these parameters in the Snowflake docs: +- [CREATE DYNAMIC TABLE](https://docs.snowflake.com/en/sql-reference/sql/create-dynamic-table) -The settings below are monitored for changes applicable to `on_configuration_change`. +### Target lag -#### Target lag +Snowflake allows two configuration scenarios for scheduling automatic refreshes: time-based and dependency-based. +For time-based automatic refreshes, provide a value of the form ` { seconds | minutes | hours | days }`. +For example, if the dynamic table needs to be updated every 30 minutes, use `target_lag='30 minutes'`. +However, for scenarios where the referenced objects are themselves dynamic tables, it might be desirable to refresh +the dynamic table whenever the underlying dynamic table is refreshed. In this scenario, use `target_lag='downstream'`. +This allows for refresh schedules to be controlled once, at the source, instead of at each layer. -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. +### Limitations -#### Warehouse +As with materialized views on most data platforms, there are limitations associated with dynamic tables. Some worth noting include: -Changes to `snowflake_warehouse` can be applied via an `ALTER` statement. +- Dynamic table SQL has a [limited feature set](https://docs.snowflake.com/en/user-guide/dynamic-tables-tasks-create#query-constructs-not-currently-supported-in-dynamic-tables) +- Dynamic table SQL cannot be updated; the dynamic table must go through a `--full-refresh` (DROP/CREATE) +- Dynamic tables cannot be downstream from: materialized views, external tables, streams +- Dynamic tables cannot reference a view that is downstream from another dynamic table -### Limitations +Find more information about dynamic table limitations in Snowflake's [docs](https://docs.snowflake.com/en/user-guide/dynamic-tables-tasks-create#dynamic-table-limitations-and-supported-functions). + + #### 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 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. +Version `1.6.x` does not support altering the materialization from a non-dynamic table be a dynamic table and vice versa. +Re-running with the `--full-refresh` does not resolve this either. +The workaround is manually dropping the existing model in the warehouse prior to calling `dbt run`. +This only needs to be done once for the conversion. 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. +If the model config is updated to `materialized="dynamic_table"`, dbt will return an error. The workaround is to execute `DROP TABLE my_model` on the data warehouse before trying the model again. @@ -429,7 +434,7 @@ The workaround is to execute `DROP TABLE my_model` on the data warehouse before ```yaml {{ config( - materialized="table" # or any model type eg view, incremental + materialized="table" # or any model type (e.g. view, incremental) ) }} ``` @@ -437,3 +442,5 @@ The workaround is to execute `DROP TABLE my_model` on the data warehouse before + + From 790f13abe7feadb2249e665f2c10344d7f07373a Mon Sep 17 00:00:00 2001 From: Ly Nguyen Date: Mon, 4 Dec 2023 15:33:56 -0800 Subject: [PATCH 023/134] Explorer updates --- .../docs/docs/collaborate/explore-projects.md | 2 +- .../docs/collaborate/model-performance.md | 41 +++++++++++++++ .../collaborate/project-recommendations.md | 47 ++++++++++++++++++ website/sidebars.js | 2 + .../dbt-explorer/ex-2-week-default.png | Bin 0 -> 60937 bytes .../example-model-performance-tab.png | Bin 0 -> 184001 bytes .../example-performance-overview-page.png | Bin 0 -> 210939 bytes .../example-recommendations-overview.png | Bin 0 -> 502964 bytes .../example-recommendations-tab.png | Bin 0 -> 189705 bytes 9 files changed, 91 insertions(+), 1 deletion(-) create mode 100644 website/docs/docs/collaborate/model-performance.md create mode 100644 website/docs/docs/collaborate/project-recommendations.md create mode 100644 website/static/img/docs/collaborate/dbt-explorer/ex-2-week-default.png create mode 100644 website/static/img/docs/collaborate/dbt-explorer/example-model-performance-tab.png create mode 100644 website/static/img/docs/collaborate/dbt-explorer/example-performance-overview-page.png create mode 100644 website/static/img/docs/collaborate/dbt-explorer/example-recommendations-overview.png create mode 100644 website/static/img/docs/collaborate/dbt-explorer/example-recommendations-tab.png diff --git a/website/docs/docs/collaborate/explore-projects.md b/website/docs/docs/collaborate/explore-projects.md index 05326016fab..7cddc87cb0b 100644 --- a/website/docs/docs/collaborate/explore-projects.md +++ b/website/docs/docs/collaborate/explore-projects.md @@ -2,7 +2,7 @@ title: "Explore your dbt projects" sidebar_label: "Explore dbt projects" description: "Learn about dbt Explorer and how to interact with it to understand, improve, and leverage your data pipelines." -pagination_next: "docs/collaborate/explore-multiple-projects" +pagination_next: "docs/collaborate/model-performance" pagination_prev: null --- diff --git a/website/docs/docs/collaborate/model-performance.md b/website/docs/docs/collaborate/model-performance.md new file mode 100644 index 00000000000..1b6f4f4e92e --- /dev/null +++ b/website/docs/docs/collaborate/model-performance.md @@ -0,0 +1,41 @@ +--- +title: "Model performance" +sidebar_label: "Model performance" +description: "Learn about ." +--- + +dbt Explorer provides metadata on dbt Cloud runs for in-depth model performance and quality analysis. This feature assists in reducing infrastructure costs and saving time for data teams by highlighting where to fine-tune projects and deployments — such as model refactoring or job configuration adjustments. + + + +:::tip Public preview + +The model performance feature is now available in dbt Explorer! Check it out! +::: + +## The Performance overview page + +The Performance overview page presents a comprehensive analysis across all project models, helping to pinpoint areas for performance enhancement. It displays the longest-running models, those most frequently executed, and the ones with the highest failure rates during runs/tests. Data can be segmented by environment and job type which can offer insights into: + +- Most executed models (total count). +- Models with the longest execution time (average duration). +- Models with the most failures, detailing run failures (percentage and count) and test failures (percentage and count). + +Each data point links to individual models in Explorer. + + + +You can view historical metadata for up to the past three months. Select the time horizon using the filter, which defaults to a two-week lookback. + + + +## The Model performance tab + +The Model performance tab allows for historical performance analysis, showing trends in execution times, counts, and failures. Daily execution data includes: + +- Average model execution time. +- Model execution counts, including failures/errors (total sum). + +Clicking on a data point reveals a table listing all job runs for that day, with each row providing a direct link to the details of a specific run. + + \ No newline at end of file diff --git a/website/docs/docs/collaborate/project-recommendations.md b/website/docs/docs/collaborate/project-recommendations.md new file mode 100644 index 00000000000..368237de9c0 --- /dev/null +++ b/website/docs/docs/collaborate/project-recommendations.md @@ -0,0 +1,47 @@ +--- +title: "Project recommendations" +sidebar_label: "Project recommendations" +description: "dbt Explorer provides recommendations that you can take to improve the quality of your dbt project." +--- + +:::tip Public preview + +The project recommendations feature is now available in dbt Explorer! Check it out! + +::: + +dbt Explorer provides recommendations about your project from the `dbt_project_evaluator` [package](https://hub.getdbt.com/dbt-labs/dbt_project_evaluator/latest/) using metadata from the Discovery API. + +Explorer also offers a global view, showing all the recommendations across the project for easy sorting and summarizing. This overview page includes two top-level metrics measuring the test and documentation coverage of the models in your project. + +- **Model test coverage** — The percent of models in your project (models not from a package or imported via dbt Mesh) with at least one dbt test configured on them. +- **Model documentation coverage** — The percent of models in your project (models not from a package or imported via dbt Mesh) with a description. + +These recommendations provide insight into how you can build a more well documented, well tested, and well built project, leading to less confusion and more trust. + + + +The current list of rules are: + +| Category | Name | Description | Package Docs Link | +| --- | --- | --- | --- | +| Modeling | Direct Join to Source | Model that joins both a model and source, indicating a missing staging model | [GitHub](https://dbt-labs.github.io/dbt-project-evaluator/0.8/rules/modeling/#direct-join-to-source) | +| Modeling | Duplicate Sources | More than one source node corresponds to the same data warehouse relation | [GitHub](https://dbt-labs.github.io/dbt-project-evaluator/0.8/rules/modeling/#duplicate-sources) | +| Modeling | Multiple Sources Joined | Models with more than one source parent, indicating lack of staging models | [GitHub](https://dbt-labs.github.io/dbt-project-evaluator/0.8/rules/modeling/#multiple-sources-joined) | +| Modeling | Root Model | Models with no parents, indicating potential hardcoded references and need for sources | [GitHub](https://dbt-labs.github.io/dbt-project-evaluator/0.8/rules/modeling/#root-models) | +| Modeling | Source Fanout | Sources with more than one model child, indicating a need for staging models | [GitHub](https://dbt-labs.github.io/dbt-project-evaluator/0.8/rules/modeling/#source-fanout) | +| Modeling | Unused Source | Sources that are not referenced by any resource | [GitHub](https://dbt-labs.github.io/dbt-project-evaluator/0.8/rules/modeling/#unused-sources) | +| Performance | Exposure Dependent on View | Exposures with at least one model parent materialized as a view, indicating potential query performance issues | [GitHub](https://dbt-labs.github.io/dbt-project-evaluator/0.8/rules/performance/#exposure-parents-materializations) | +| Testing | Missing Primary Key Test | Models with insufficient testing on the grain of the model. | [GitHub](https://dbt-labs.github.io/dbt-project-evaluator/0.8/rules/testing/#missing-primary-key-tests) | +| Documentation | Undocumented Models | Models without a model-level description | [GitHub](https://dbt-labs.github.io/dbt-project-evaluator/0.8/rules/documentation/#undocumented-models) | +| Documentation | Undocumented Source | Sources (collections of source tables) without descriptions | [GitHub](https://dbt-labs.github.io/dbt-project-evaluator/0.8/rules/documentation/#undocumented-sources) | +| Documentation | Undocumented Source Tables | Source tables without descriptions | [GitHub](https://dbt-labs.github.io/dbt-project-evaluator/0.8/rules/documentation/#undocumented-source-tables) | +| Governance | Public Model Missing Contract | Models with public access that do not have a model contract to ensure the data types | [GitHub](https://dbt-labs.github.io/dbt-project-evaluator/0.8/rules/governance/#public-models-without-contracts) | + + +Models, sources and exposures each also have a Recommendations tab on their resource details page, with the specific recommendations that correspond to that resource: + + + + + diff --git a/website/sidebars.js b/website/sidebars.js index 4653b028ef9..598fffc7f0d 100644 --- a/website/sidebars.js +++ b/website/sidebars.js @@ -424,6 +424,8 @@ const sidebarSettings = { link: { type: "doc", id: "docs/collaborate/explore-projects" }, items: [ "docs/collaborate/explore-projects", + "docs/collaborate/model-performance", + "docs/collaborate/project-recommendations", "docs/collaborate/explore-multiple-projects", ], }, diff --git 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z=X0!F?Q*?5t!llIEWK9I$M{pdz`|NBXEeL_MP#}~w49``-}v8^&iXa@mV0owR+i{Y zr*~P;3*8c4qTl6VBBleKl-!T^k=i2@8Kz#>4Q~8#)BPU-qd&hCN2m$63(VF^`^2Kg z!m-y<6f3UCB9-FtG=_~=+x$61pFMcQMD@?V_ZR;&&ImW%5b(=;WbwS<(?-%zW4v6!G9)UXF30j)ns*@$MHVFqB-rj^}Q5mSTo=W#dqfl&1C zrtnYyj~(3bsT597Cfym*w^tf`Mqtc#@qnS>%_O`Y=?;{-ADNk3t`Aq$+jhM_qGN zG)z32$8WEp{OcbAFx`Zw4eY8BN~7(-q^bC{dvS07Xvghhejc%tE3(TiU>kCb^`>@O zF{b~roq|3o+4g91M?El^UzG4KKK8elsvGvE(3VA)hq}8@oS(FuO|I>@Tt2Noqp0MS zI%ki$RQ$KY`k#-ELc2*PXI&Zn?}q#PkRTAn Date: Mon, 4 Dec 2023 17:42:06 -0800 Subject: [PATCH 024/134] Clarify Explorer lineage state --- website/docs/docs/collaborate/explore-projects.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/website/docs/docs/collaborate/explore-projects.md b/website/docs/docs/collaborate/explore-projects.md index 05326016fab..83e97e5c304 100644 --- a/website/docs/docs/collaborate/explore-projects.md +++ b/website/docs/docs/collaborate/explore-projects.md @@ -36,7 +36,7 @@ For a richer experience with dbt Explorer, you must: - Run [dbt source freshness](/reference/commands/source#dbt-source-freshness) within a job in the environment to view source freshness data. - Run [dbt snapshot](/reference/commands/snapshot) or [dbt build](/reference/commands/build) within a job in the environment to view snapshot details. -Richer and more timely metadata will become available as dbt, the Discovery API, and the underlying dbt Cloud platform evolves. +Richer and more timely metadata will become available as dbt Core, the Discovery API, and the underlying dbt Cloud platform evolves. ## Explore your project's lineage graph {#project-lineage} @@ -46,6 +46,8 @@ If you don't see the project lineage graph immediately, click **Render Lineage** The nodes in the lineage graph represent the project’s resources and the edges represent the relationships between the nodes. Nodes are color-coded and include iconography according to their resource type. +By default, dbt Explorer shows the project's [applied state](/dbt-cloud-apis/project-state#definition-logical-vs-applied-state-of-dbt-nodes) lineage. That is, models that have successfully been built and are available to query, not those just defined in the project + To explore the lineage graphs of tests and macros, view [their resource details pages](#view-resource-details). By default, dbt Explorer excludes these resources from the full lineage graph unless a search query returns them as results. To interact with the full lineage graph, you can: From 0f8fc14021435f38b688d0069066d4931944520e Mon Sep 17 00:00:00 2001 From: Joel Labes Date: Tue, 5 Dec 2023 15:24:20 +1300 Subject: [PATCH 025/134] Fix API endpoint link --- website/docs/docs/deploy/retry-jobs.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/website/docs/docs/deploy/retry-jobs.md b/website/docs/docs/deploy/retry-jobs.md index ea616121f38..beefb35379e 100644 --- a/website/docs/docs/deploy/retry-jobs.md +++ b/website/docs/docs/deploy/retry-jobs.md @@ -26,7 +26,7 @@ If your dbt job run completed with a status of **Error**, you can rerun it from ## Related content -- [Retry a failed run for a job](/dbt-cloud/api-v2#/operations/Retry%20a%20failed%20run%20for%20a%20job) API endpoint +- [Retry a failed run for a job](/dbt-cloud/api-v2#/operations/Retry%20Failed%20Job) API endpoint - [Run visibility](/docs/deploy/run-visibility) - [Jobs](/docs/deploy/jobs) -- [Job commands](/docs/deploy/job-commands) \ No newline at end of file +- [Job commands](/docs/deploy/job-commands) From 89503381a1a0cbe76c4caacb9def3071e4a7d782 Mon Sep 17 00:00:00 2001 From: Joel Labes Date: Tue, 5 Dec 2023 15:52:47 +1300 Subject: [PATCH 026/134] Fix image issues in airflow guide --- website/docs/guides/airflow-and-dbt-cloud.md | 188 +++++++----------- .../connection-type-configured.png | Bin 0 -> 251473 bytes 2 files changed, 69 insertions(+), 119 deletions(-) create mode 100644 website/static/img/guides/orchestration/airflow-and-dbt-cloud/connection-type-configured.png diff --git a/website/docs/guides/airflow-and-dbt-cloud.md b/website/docs/guides/airflow-and-dbt-cloud.md index a3ff59af14e..0473043f16f 100644 --- a/website/docs/guides/airflow-and-dbt-cloud.md +++ b/website/docs/guides/airflow-and-dbt-cloud.md @@ -11,50 +11,29 @@ recently_updated: true ## Introduction -In some cases, [Airflow](https://airflow.apache.org/) may be the preferred orchestrator for your organization over working fully within dbt Cloud. There are a few reasons your team might be considering using Airflow to orchestrate your dbt jobs: - -- Your team is already using Airflow to orchestrate other processes -- Your team needs to ensure that a [dbt job](https://docs.getdbt.com/docs/dbt-cloud/cloud-overview#schedule-and-run-dbt-jobs-in-production) kicks off before or after another process outside of dbt Cloud -- Your team needs flexibility to manage more complex scheduling, such as kicking off one dbt job only after another has completed -- Your team wants to own their own orchestration solution -- You need code to work right now without starting from scratch - -### Prerequisites - -- [dbt Cloud Teams or Enterprise account](https://www.getdbt.com/pricing/) (with [admin access](https://docs.getdbt.com/docs/cloud/manage-access/enterprise-permissions)) in order to create a service token. Permissions for service tokens can be found [here](https://docs.getdbt.com/docs/dbt-cloud-apis/service-tokens#permissions-for-service-account-tokens). -- A [free Docker account](https://hub.docker.com/signup) in order to sign in to Docker Desktop, which will be installed in the initial setup. -- A local digital scratchpad for temporarily copy-pasting API keys and URLs - -### Airflow + dbt Core - -There are [so many great examples](https://gitlab.com/gitlab-data/analytics/-/blob/master/dags/transformation/dbt_snowplow_backfill.py) from GitLab through their open source data engineering work. This is especially appropriate if you are well-versed in Kubernetes, CI/CD, and docker task management when building your airflow pipelines. If this is you and your team, you’re in good hands reading through more details [here](https://about.gitlab.com/handbook/business-technology/data-team/platform/infrastructure/#airflow) and [here](https://about.gitlab.com/handbook/business-technology/data-team/platform/dbt-guide/). - -### Airflow + dbt Cloud API w/Custom Scripts - -This has served as a bridge until the fabled Astronomer + dbt Labs-built dbt Cloud provider became generally available [here](https://registry.astronomer.io/providers/dbt%20Cloud/versions/latest). - -There are many different permutations of this over time: - -- [Custom Python Scripts](https://github.com/sungchun12/airflow-dbt-cloud/blob/main/archive/dbt_cloud_example.py): This is an airflow DAG based on [custom python API utilities](https://github.com/sungchun12/airflow-dbt-cloud/blob/main/archive/dbt_cloud_utils.py) -- [Make API requests directly through the BashOperator based on the docs](https://docs.getdbt.com/dbt-cloud/api-v2-legacy#operation/triggerRun): You can make cURL requests to invoke dbt Cloud to do what you want -- For more options, check out the [official dbt Docs](/docs/deploy/deployments#airflow) on the various ways teams are running dbt in airflow - -These solutions are great, but can be difficult to trust as your team grows and management for things like: testing, job definitions, secrets, and pipelines increase past your team’s capacity. Roles become blurry (or were never clearly defined at the start!). Both data and analytics engineers start digging through custom logging within each other’s workflows to make heads or tails of where and what the issue really is. Not to mention that when the issue is found, it can be even harder to decide on the best path forward for safely implementing fixes. This complex workflow and unclear delineation on process management results in a lot of misunderstandings and wasted time just trying to get the process to work smoothly! +Many organization already use [Airflow](https://airflow.apache.org/) to orchestrate their data workflows. dbt Cloud works great with Airflow, letting you execute your dbt code in dbt Cloud while keeping orchestration duties with Airflow. This ensures your project's metadata (important for tools like dbt Explorer) is available and up-to-date, while still enabling you to use Airflow for general tasks such as: +- Scheduling other processes outside of dbt runs +- Ensuring that a [dbt job](https://docs.getdbt.com/docs/dbt-cloud/cloud-overview#schedule-and-run-dbt-jobs-in-production) kicks off before or after another process outside of dbt Cloud +- Triggering a dbt job only after another has completed In this guide, you'll learn how to: -1. Creating a working local Airflow environment -2. Invoking a dbt Cloud job with Airflow (with proof!) -3. Reusing tested and trusted Airflow code for your specific use cases +1. Create a working local Airflow environment +2. Invoke a dbt Cloud job with Airflow +3. Reuse tested and trusted Airflow code for your specific use cases You’ll also gain a better understanding of how this will: - Reduce the cognitive load when building and maintaining pipelines - Avoid dependency hell (think: `pip install` conflicts) -- Implement better recoveries from failures -- Define clearer workflows so that data and analytics engineers work better, together ♥️ +- Define clearer handoff of workflows between data engineers and analytics engineers +## Prerequisites + +- [dbt Cloud Teams or Enterprise account](https://www.getdbt.com/pricing/) (with [admin access](https://docs.getdbt.com/docs/cloud/manage-access/enterprise-permissions)) in order to create a service token. Permissions for service tokens can be found [here](https://docs.getdbt.com/docs/dbt-cloud-apis/service-tokens#permissions-for-service-account-tokens). +- A [free Docker account](https://hub.docker.com/signup) in order to sign in to Docker Desktop, which will be installed in the initial setup. +- A local digital scratchpad for temporarily copy-pasting API keys and URLs 🙌 Let’s get started! 🙌 @@ -72,7 +51,7 @@ brew install astro ## Install and start Docker Desktop -Docker allows us to spin up an environment with all the apps and dependencies we need for the example. +Docker allows us to spin up an environment with all the apps and dependencies we need for this guide. Follow the instructions [here](https://docs.docker.com/desktop/) to install Docker desktop for your own operating system. Once Docker is installed, ensure you have it up and running for the next steps. @@ -80,7 +59,7 @@ Follow the instructions [here](https://docs.docker.com/desktop/) to install Dock ## Clone the airflow-dbt-cloud repository -Open your terminal and clone the [airflow-dbt-cloud repository](https://github.com/sungchun12/airflow-dbt-cloud.git). This contains example Airflow DAGs that you’ll use to orchestrate your dbt Cloud job. Once cloned, navigate into the `airflow-dbt-cloud` project. +Open your terminal and clone the [airflow-dbt-cloud repository](https://github.com/sungchun12/airflow-dbt-cloud). This contains example Airflow DAGs that you’ll use to orchestrate your dbt Cloud job. Once cloned, navigate into the `airflow-dbt-cloud` project. ```bash git clone https://github.com/sungchun12/airflow-dbt-cloud.git @@ -91,12 +70,9 @@ cd airflow-dbt-cloud ## Start the Docker container -You can initialize an Astronomer project in an empty local directory using a Docker container, and then run your project locally using the `start` command. - -1. Run the following commands to initialize your project and start your local Airflow deployment: +1. From the `airflow-dbt-cloud` directory you cloned and opened in the prior step, run the following command to start your local Airflow deployment: ```bash - astro dev init astro dev start ``` @@ -110,10 +86,10 @@ You can initialize an Astronomer project in an empty local directory using a Doc Airflow Webserver: http://localhost:8080 Postgres Database: localhost:5432/postgres The default Airflow UI credentials are: admin:admin - The default Postrgres DB credentials are: postgres:postgres + The default Postgres DB credentials are: postgres:postgres ``` -2. Open the Airflow interface. Launch your web browser and navigate to the address for the **Airflow Webserver** from your output in Step 1. +2. Open the Airflow interface. Launch your web browser and navigate to the address for the **Airflow Webserver** from your output above (for us, `http://localhost:8080`). This will take you to your local instance of Airflow. You’ll need to log in with the **default credentials**: @@ -126,15 +102,15 @@ You can initialize an Astronomer project in an empty local directory using a Doc ## Create a dbt Cloud service token -Create a service token from within dbt Cloud using the instructions [found here](https://docs.getdbt.com/docs/dbt-cloud-apis/service-tokens). Ensure that you save a copy of the token, as you won’t be able to access this later. In this example we use `Account Admin`, but you can also use `Job Admin` instead for token permissions. +[Create a service token](/docs/dbt-cloud-apis/service-tokens) with `Job Admin` privileges from within dbt Cloud. Ensure that you save a copy of the token, as you won’t be able to access this later. ## Create a dbt Cloud job -In your dbt Cloud account create a job, paying special attention to the information in the bullets below. Additional information for creating a dbt Cloud job can be found [here](/guides/bigquery). +[Create a job in your dbt Cloud account](/docs/deploy/deploy-jobs#create-and-schedule-jobs), paying special attention to the information in the bullets below. -- Configure the job with the commands that you want to include when this job kicks off, as Airflow will be referring to the job’s configurations for this rather than being explicitly coded in the Airflow DAG. This job will run a set of commands rather than a single command. +- Configure the job with the full commands that you want to include when this job kicks off. This sample code has Airflow triggering the dbt Cloud job and all of its commands, instead of explicitly identifying individual models to run from inside of Airflow. - Ensure that the schedule is turned **off** since we’ll be using Airflow to kick things off. - Once you hit `save` on the job, make sure you copy the URL and save it for referencing later. The url will look similar to this: @@ -144,77 +120,59 @@ https://cloud.getdbt.com/#/accounts/{account_id}/projects/{project_id}/jobs/{job -## Add your dbt Cloud API token as a secure connection +## Connect dbt Cloud to Airflow - +Now you have all the working pieces to get up and running with Airflow + dbt Cloud. It's time to **set up a connection** and **run a DAG in Airflow** that kicks off a dbt Cloud job. -Now you have all the working pieces to get up and running with Airflow + dbt Cloud. Let’s dive into make this all work together. We will **set up a connection** and **run a DAG in Airflow** that kicks off a dbt Cloud job. - -1. Navigate to Admin and click on **Connections** +1. From the Airflow interface, navigate to Admin and click on **Connections** ![Airflow connections menu](/img/guides/orchestration/airflow-and-dbt-cloud/airflow-connections-menu.png) 2. Click on the `+` sign to add a new connection, then click on the drop down to search for the dbt Cloud Connection Type - ![Create connection](/img/guides/orchestration/airflow-and-dbt-cloud/create-connection.png) - ![Connection type](/img/guides/orchestration/airflow-and-dbt-cloud/connection-type.png) 3. Add in your connection details and your default dbt Cloud account id. This is found in your dbt Cloud URL after the accounts route section (`/accounts/{YOUR_ACCOUNT_ID}`), for example the account with id 16173 would see this in their URL: `https://cloud.getdbt.com/#/accounts/16173/projects/36467/jobs/65767/` -![https://lh3.googleusercontent.com/sRxe5xbv_LYhIKblc7eiY7AmByr1OibOac2_fIe54rpU3TBGwjMpdi_j0EPEFzM1_gNQXry7Jsm8aVw9wQBSNs1I6Cyzpvijaj0VGwSnmVf3OEV8Hv5EPOQHrwQgK2RhNBdyBxN2](https://lh3.googleusercontent.com/sRxe5xbv_LYhIKblc7eiY7AmByr1OibOac2_fIe54rpU3TBGwjMpdi_j0EPEFzM1_gNQXry7Jsm8aVw9wQBSNs1I6Cyzpvijaj0VGwSnmVf3OEV8Hv5EPOQHrwQgK2RhNBdyBxN2) + ![Connection type](/img/guides/orchestration/airflow-and-dbt-cloud/connection-type-configured.png) -## Add your `job_id` and `account_id` config details to the python file +## Update the placeholders in the sample code - Add your `job_id` and `account_id` config details to the python file: [dbt_cloud_provider_eltml.py](https://github.com/sungchun12/airflow-dbt-cloud/blob/main/dags/dbt_cloud_provider_eltml.py). + Add your `account_id` and `job_id` to the python file [dbt_cloud_provider_eltml.py](https://github.com/sungchun12/airflow-dbt-cloud/blob/main/dags/dbt_cloud_provider_eltml.py). -1. You’ll find these details within the dbt Cloud job URL, see the comments in the code snippet below for an example. +Both IDs are included inside of the dbt Cloud job URL as shown in the following snippets: - ```python - # dbt Cloud Job URL: https://cloud.getdbt.com/#/accounts/16173/projects/36467/jobs/65767/ - # account_id: 16173 - #job_id: 65767 +```python +# For the dbt Cloud Job URL https://cloud.getdbt.com/#/accounts/16173/projects/36467/jobs/65767/ +# The account_id is 16173 - # line 28 - default_args={"dbt_cloud_conn_id": "dbt_cloud", "account_id": 16173}, - - trigger_dbt_cloud_job_run = DbtCloudRunJobOperator( - task_id="trigger_dbt_cloud_job_run", - job_id=65767, # line 39 - check_interval=10, - timeout=300, - ) - ``` - -2. Turn on the DAG and verify the job succeeded after running. Note: screenshots taken from different job runs, but the user experience is consistent. - - ![https://lh6.googleusercontent.com/p8AqQRy0UGVLjDGPmcuGYmQ_BRodyL0Zis-eQgSmp69EHbKW51o4S-bCl1fXHlOmwpYEBxD0A-O1Q1hwt-VDVMO1wWH-AIeaoelBx06JXRJ0m1OcHaPpFKH0xDiduIhNlQhhbLiy](https://lh6.googleusercontent.com/p8AqQRy0UGVLjDGPmcuGYmQ_BRodyL0Zis-eQgSmp69EHbKW51o4S-bCl1fXHlOmwpYEBxD0A-O1Q1hwt-VDVMO1wWH-AIeaoelBx06JXRJ0m1OcHaPpFKH0xDiduIhNlQhhbLiy) - - ![Airflow DAG](/img/guides/orchestration/airflow-and-dbt-cloud/airflow-dag.png) - - ![Task run instance](/img/guides/orchestration/airflow-and-dbt-cloud/task-run-instance.png) - - ![https://lh6.googleusercontent.com/S9QdGhLAdioZ3x634CChugsJRiSVtTTd5CTXbRL8ADA6nSbAlNn4zV0jb3aC946c8SGi9FRTfyTFXqjcM-EBrJNK5hQ0HHAsR5Fj7NbdGoUfBI7xFmgeoPqnoYpjyZzRZlXkjtxS](https://lh6.googleusercontent.com/S9QdGhLAdioZ3x634CChugsJRiSVtTTd5CTXbRL8ADA6nSbAlNn4zV0jb3aC946c8SGi9FRTfyTFXqjcM-EBrJNK5hQ0HHAsR5Fj7NbdGoUfBI7xFmgeoPqnoYpjyZzRZlXkjtxS) - -## How do I rerun the dbt Cloud job and downstream tasks in my pipeline? - -If you have worked with dbt Cloud before, you have likely encountered cases where a job fails. In those cases, you have likely logged into dbt Cloud, investigated the error, and then manually restarted the job. - -This section of the guide will show you how to restart the job directly from Airflow. This will specifically run *just* the `trigger_dbt_cloud_job_run` and downstream tasks of the Airflow DAG and not the entire DAG. If only the transformation step fails, you don’t need to re-run the extract and load processes. Let’s jump into how to do that in Airflow. - -1. Click on the task +# Update line 28 +default_args={"dbt_cloud_conn_id": "dbt_cloud", "account_id": 16173}, +``` - ![Task DAG view](/img/guides/orchestration/airflow-and-dbt-cloud/task-dag-view.png) +```python +# For the dbt Cloud Job URL https://cloud.getdbt.com/#/accounts/16173/projects/36467/jobs/65767/ +# The job_id is 65767 + +# Update line 39 +trigger_dbt_cloud_job_run = DbtCloudRunJobOperator( + task_id="trigger_dbt_cloud_job_run", + job_id=65767, + check_interval=10, + timeout=300, + ) +``` -2. Clear the task instance + - ![Clear task instance](/img/guides/orchestration/airflow-and-dbt-cloud/clear-task-instance.png) +## Run the Airflow DAG - ![Approve clearing](/img/guides/orchestration/airflow-and-dbt-cloud/approve-clearing.png) +Turn on the DAG and trigger it to run. Verify the job succeeded after running. -3. Watch it rerun in real time +![Airflow DAG](/img/guides/orchestration/airflow-and-dbt-cloud/airflow-dag.png) - ![Re-run](/img/guides/orchestration/airflow-and-dbt-cloud/re-run.png) +Click Monitor Job Run to open the run details in dbt Cloud. +![Task run instance](/img/guides/orchestration/airflow-and-dbt-cloud/task-run-instance.png) ## Cleaning up @@ -224,9 +182,9 @@ At the end of this guide, make sure you shut down your docker container. When y $ astrocloud dev stop [+] Running 3/3 - ⠿ Container airflow-dbt-cloud_e3fe3c-webserver-1 Stopped 7.5s - ⠿ Container airflow-dbt-cloud_e3fe3c-scheduler-1 Stopped 3.3s - ⠿ Container airflow-dbt-cloud_e3fe3c-postgres-1 Stopped 0.3s + ⠿ Container airflow-dbt-cloud_e3fe3c-webserver-1 Stopped 7.5s + ⠿ Container airflow-dbt-cloud_e3fe3c-scheduler-1 Stopped 3.3s + ⠿ Container airflow-dbt-cloud_e3fe3c-postgres-1 Stopped 0.3s ``` To verify that the deployment has stopped, use the following command: @@ -244,37 +202,29 @@ airflow-dbt-cloud_e3fe3c-scheduler-1 exited airflow-dbt-cloud_e3fe3c-postgres-1 exited ``` - + ## Frequently asked questions ### How can we run specific subsections of the dbt DAG in Airflow? -Because of the way we configured the dbt Cloud job to run in Airflow, you can leave this job to your analytics engineers to define in the job configurations from dbt Cloud. If, for example, we need to run hourly-tagged models every hour and daily-tagged models daily, we can create jobs like `Hourly Run` or `Daily Run` and utilize the commands `dbt run -s tag:hourly` and `dbt run -s tag:daily` within each, respectively. We only need to grab our dbt Cloud `account` and `job id`, configure it in an Airflow DAG with the code provided, and then we can be on your way. See more node selection options: [here](/reference/node-selection/syntax) - -### How can I re-run models from the point of failure? - -You may want to parse the dbt DAG in Airflow to get the benefit of re-running from the point of failure. However, when you have hundreds of models in your DAG expanded out, it becomes useless for diagnosis and rerunning due to the overhead that comes along with creating an expansive Airflow DAG. +Because the Airflow DAG references dbt Cloud jobs, your analytics engineers can take responsibility for configuring the jobs in dbt Cloud. -You can’t re-run from failure natively in dbt Cloud today (feature coming!), but you can use a custom rerun parser. +For example, to run some models hourly and others daily, there will be jobs like `Hourly Run` or `Daily Run` using the commands `dbt run --select tag:hourly` and `dbt run --select tag:daily` respectively. Once configured in dbt Cloud, these can be added as steps in an Airflow DAG as shown in this guide. Refer to our full [node selection syntax docs here](/reference/node-selection/syntax). -Using a simple python script coupled with the dbt Cloud provider, you can: - -- Avoid managing artifacts in a separate storage bucket(dbt Cloud does this for you) -- Avoid building your own parsing logic -- Get clear logs on what models you're rerunning in dbt Cloud (without hard coding step override commands) - -Watch the video below to see how it works! +### How can I re-run models from the point of failure? - +You can trigger re-run from point of failure with the `rerun` API endpoint. See the docs on [retrying jobs](/docs/deploy/retry-jobs) for more information. ### Should Airflow run one big dbt job or many dbt jobs? -Overall we recommend being as purposeful and minimalistic as you can. This is because dbt manages all of the dependencies between models and the orchestration of running those dependencies in order, which in turn has benefits in terms of warehouse processing efforts. +dbt jobs are most effective when a build command contains as many models at once as is practical. This is because dbt manages the dependencies between models and coordinates running them in order, which ensures that your jobs can run in a highly parallelized fashion. It also streamlines the debugging process when a model fails and enables re-run from point of failure. + +As an explicit example, it's not recommended to have a dbt job for every single node in your DAG. Try combining your steps according to desired run frequency, or grouping by department (finance, marketing, customer success...) instead. ### We want to kick off our dbt jobs after our ingestion tool (such as Fivetran) / data pipelines are done loading data. Any best practices around that? -Our friends at Astronomer answer this question with this example: [here](https://registry.astronomer.io/dags/fivetran-dbt-cloud-census) +Astronomer's DAG registry has a sample workflow combining Fivetran, dbt Cloud and Census [here](https://registry.astronomer.io/dags/fivetran-dbt_cloud-census/versions/3.0.0). ### How do you set up a CI/CD workflow with Airflow? @@ -285,12 +235,12 @@ Check out these two resources for accomplishing your own CI/CD pipeline: ### Can dbt dynamically create tasks in the DAG like Airflow can? -We prefer to keep models bundled vs. unbundled. You can go this route, but if you have hundreds of dbt models, it’s more effective to let the dbt Cloud job handle the models and dependencies. Bundling provides the solution to clear observability when things go wrong - we've seen more success in having the ability to clearly see issues in a bundled dbt Cloud job than combing through the nodes of an expansive Airflow DAG. If you still have a use case for this level of control though, our friends at Astronomer answer this question [here](https://www.astronomer.io/blog/airflow-dbt-1/)! +As discussed above, we prefer to keep jobs bundled together and containing as many nodes as are necessary. If you must run nodes one at a time for some reason, then review [this article](https://www.astronomer.io/blog/airflow-dbt-1/) for some pointers. -### Can you trigger notifications if a dbt job fails with Airflow? Is there any way to access the status of the dbt Job to do that? +### Can you trigger notifications if a dbt job fails with Airflow? -Yes, either through [Airflow's email/slack](https://www.astronomer.io/guides/error-notifications-in-airflow/) functionality by itself or combined with [dbt Cloud's notifications](/docs/deploy/job-notifications), which support email and slack notifications. +Yes, either through [Airflow's email/slack](https://www.astronomer.io/guides/error-notifications-in-airflow/) functionality, or [dbt Cloud's notifications](/docs/deploy/job-notifications), which support email and Slack notifications. You could also create a [webhook](/docs/deploy/webhooks). -### Are there decision criteria for how to best work with dbt Cloud and airflow? +### How should I plan my dbt Cloud + Airflow implementation? -Check out this deep dive into planning your dbt Cloud + Airflow implementation [here](https://www.youtube.com/watch?v=n7IIThR8hGk)! +Check out [this recording](https://www.youtube.com/watch?v=n7IIThR8hGk) of a dbt meetup for some tips. diff --git a/website/static/img/guides/orchestration/airflow-and-dbt-cloud/connection-type-configured.png b/website/static/img/guides/orchestration/airflow-and-dbt-cloud/connection-type-configured.png new file mode 100644 index 0000000000000000000000000000000000000000..f77d3e188fcad1702a9071fbdf3891cd6aececd5 GIT binary patch literal 251473 zcmZU(19TwkEc1>qHaVb}|#&wrz7JHcsq`b7D@M`RBR!zVCb2_wBW+ ztGcRwRlTwH+ST0=%8F7*2zUqp002owT3i(XfGGw5Am8CWeP~oIF}eT%gla1>F=ZJs zF%o5G2XiZ1GXOw3A|(x0IcXI;@bYh2Sa2#T1Z@Eqm@zOJ6?ojU3MUh&EczK5t*f#9 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z)XjGhJgp9DL%uXM0W{zv8_s2enTHWJ(UP0OLrJ)Ed1a>oDGsJ|A4N^gNJAEPgj^iWB2zxrtP)+ zbwroq9TNin7;tLereuJ)rmycT6$_*))Jj|_c4=SJb278N3zU2NzT7tJb-I>7_yMAs zq|_r#n^YG+nn0nq>*>9G(LBJ&x>|YJo8a?$M8m&jpYq}?U?oFeSEdx{&;xBIn2#jeAIakHi$d~j}F(!T@Ks)(m}W<#8d0P3XYqhFa!_8w*t z~BN+4~?E0 zwq-0?^s4$z6xrB6u?)Yt@d%T1bD?jaA6PNZy1222@|z>^AuvX(GXBIDVJuy!^I|&ssC9@*bQQ1t6i>;+e1wVe~Yrupv=kE zt!b~uWw%Kfir;b?RjvyA_R<}DmNw-&rKN@r_~CWnZuR;A3cUN-5% z?K?0*7K+Ij>@x@0w$A+B5feV@CbKB6RNgtH$}GJg9Xph8jMJd;;;q#Bo;4_TAJuVI z9%y77KxAXpCZkjh>$qmHw0Mz@i-Be0ADg=}#QSG>`GcClo_bP0kDJp{;PI*E+Oe17 zsc2p}p^~aPImL?FFQl_~$rcqWjNz!I$5rkxuDUa^9(~t){^mJZ^7vV9ji)Rl^PS#~ zDlZ(>`hIPLEZ6B;ZKv!Qa Date: Tue, 5 Dec 2023 07:26:18 -0500 Subject: [PATCH 027/134] Update website/docs/guides/airflow-and-dbt-cloud.md --- website/docs/guides/airflow-and-dbt-cloud.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/guides/airflow-and-dbt-cloud.md b/website/docs/guides/airflow-and-dbt-cloud.md index 0473043f16f..89de21cd992 100644 --- a/website/docs/guides/airflow-and-dbt-cloud.md +++ b/website/docs/guides/airflow-and-dbt-cloud.md @@ -31,7 +31,7 @@ You’ll also gain a better understanding of how this will: ## Prerequisites -- [dbt Cloud Teams or Enterprise account](https://www.getdbt.com/pricing/) (with [admin access](https://docs.getdbt.com/docs/cloud/manage-access/enterprise-permissions)) in order to create a service token. Permissions for service tokens can be found [here](https://docs.getdbt.com/docs/dbt-cloud-apis/service-tokens#permissions-for-service-account-tokens). +- [dbt Cloud Teams or Enterprise account](https://www.getdbt.com/pricing/) (with [admin access](/docs/cloud/manage-access/enterprise-permissions)) in order to create a service token. Permissions for service tokens can be found [here](/docs/dbt-cloud-apis/service-tokens#permissions-for-service-account-tokens). - A [free Docker account](https://hub.docker.com/signup) in order to sign in to Docker Desktop, which will be installed in the initial setup. - A local digital scratchpad for temporarily copy-pasting API keys and URLs From 5057aea21c992b9dbe556bb723027a9390b81165 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Tue, 5 Dec 2023 07:26:27 -0500 Subject: [PATCH 028/134] Update website/docs/guides/airflow-and-dbt-cloud.md --- website/docs/guides/airflow-and-dbt-cloud.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/guides/airflow-and-dbt-cloud.md b/website/docs/guides/airflow-and-dbt-cloud.md index 89de21cd992..b3c331920c8 100644 --- a/website/docs/guides/airflow-and-dbt-cloud.md +++ b/website/docs/guides/airflow-and-dbt-cloud.md @@ -14,7 +14,7 @@ recently_updated: true Many organization already use [Airflow](https://airflow.apache.org/) to orchestrate their data workflows. dbt Cloud works great with Airflow, letting you execute your dbt code in dbt Cloud while keeping orchestration duties with Airflow. This ensures your project's metadata (important for tools like dbt Explorer) is available and up-to-date, while still enabling you to use Airflow for general tasks such as: - Scheduling other processes outside of dbt runs -- Ensuring that a [dbt job](https://docs.getdbt.com/docs/dbt-cloud/cloud-overview#schedule-and-run-dbt-jobs-in-production) kicks off before or after another process outside of dbt Cloud +- Ensuring that a [dbt job](/docs/dbt-cloud/cloud-overview#schedule-and-run-dbt-jobs-in-production) kicks off before or after another process outside of dbt Cloud - Triggering a dbt job only after another has completed In this guide, you'll learn how to: From 2997e674e67c7eef9fbd8199e1acd0f7bd51acc1 Mon Sep 17 00:00:00 2001 From: Ly Nguyen <107218380+nghi-ly@users.noreply.github.com> Date: Tue, 5 Dec 2023 08:03:42 -0800 Subject: [PATCH 029/134] Update website/docs/docs/collaborate/model-performance.md Co-authored-by: Leona B. Campbell <3880403+runleonarun@users.noreply.github.com> --- website/docs/docs/collaborate/model-performance.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/collaborate/model-performance.md b/website/docs/docs/collaborate/model-performance.md index 1b6f4f4e92e..fbbabdff3fc 100644 --- a/website/docs/docs/collaborate/model-performance.md +++ b/website/docs/docs/collaborate/model-performance.md @@ -15,7 +15,7 @@ The model performance feature is now available in dbt Explorer! Check it out! ## The Performance overview page -The Performance overview page presents a comprehensive analysis across all project models, helping to pinpoint areas for performance enhancement. It displays the longest-running models, those most frequently executed, and the ones with the highest failure rates during runs/tests. Data can be segmented by environment and job type which can offer insights into: +You can pinpoint areas for performance enhancement by using the Performance overview page. This page presents a comprehensive analysis across all project models and displays the longest-running models, those most frequently executed, and the ones with the highest failure rates during runs/tests. Data can be segmented by environment and job type which can offer insights into: - Most executed models (total count). - Models with the longest execution time (average duration). From a649e0e61f3d8fcd3727573c699db6c7dc5f49a8 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Tue, 5 Dec 2023 11:14:00 -0500 Subject: [PATCH 030/134] Update website/docs/guides/airflow-and-dbt-cloud.md --- website/docs/guides/airflow-and-dbt-cloud.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/guides/airflow-and-dbt-cloud.md b/website/docs/guides/airflow-and-dbt-cloud.md index b3c331920c8..e7f754ef02d 100644 --- a/website/docs/guides/airflow-and-dbt-cloud.md +++ b/website/docs/guides/airflow-and-dbt-cloud.md @@ -14,7 +14,7 @@ recently_updated: true Many organization already use [Airflow](https://airflow.apache.org/) to orchestrate their data workflows. dbt Cloud works great with Airflow, letting you execute your dbt code in dbt Cloud while keeping orchestration duties with Airflow. This ensures your project's metadata (important for tools like dbt Explorer) is available and up-to-date, while still enabling you to use Airflow for general tasks such as: - Scheduling other processes outside of dbt runs -- Ensuring that a [dbt job](/docs/dbt-cloud/cloud-overview#schedule-and-run-dbt-jobs-in-production) kicks off before or after another process outside of dbt Cloud +- Ensuring that a [dbt job](/docs/deploy/job-scheduler) kicks off before or after another process outside of dbt Cloud - Triggering a dbt job only after another has completed In this guide, you'll learn how to: From bf57f5102375efbb1cddd19bb11c519eaddf0cab Mon Sep 17 00:00:00 2001 From: Mike Alfare Date: Tue, 5 Dec 2023 12:31:58 -0500 Subject: [PATCH 031/134] add materialized view configuration for redshift --- .../resource-configs/redshift-configs.md | 84 ++++++++++++++----- 1 file changed, 64 insertions(+), 20 deletions(-) diff --git a/website/docs/reference/resource-configs/redshift-configs.md b/website/docs/reference/resource-configs/redshift-configs.md index 9bd127a1e1a..ea0e4cad7b5 100644 --- a/website/docs/reference/resource-configs/redshift-configs.md +++ b/website/docs/reference/resource-configs/redshift-configs.md @@ -111,40 +111,82 @@ models: ## 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`. -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 Redshift adapter supports [materialized views](https://docs.aws.amazon.com/redshift/latest/dg/materialized-view-overview.html) +with the following configuration parameters: -### Monitored configuration changes +| Parameter | Type | Default | Change Monitoring Support | Reference | +|----------------|--------------|------------------------|---------------------------|-------------------------------------------------| +| `dist` | STRING | `'EVEN'` | DROP/CREATE | [Sortkey / Distkey](#using-sortkey-and-distkey) | +| `sort` | LIST[STRING] | `None` | DROP/CREATE | [Sortkey / Distkey](#using-sortkey-and-distkey) | +| `sort_type` | STRING | `'AUTO'` if no `sort` | DROP/CREATE | [Sortkey / Distkey](#using-sortkey-and-distkey) | +| | | `'COMPOUND'` if `sort` | | | +| `auto_refresh` | BOOLEAN | `False` | ALTER | [Auto refresh](#auto-refresh) | +| `backup` | BOOLEAN | `True` | N/A | [Backup](#backup) | -The settings below are monitored for changes applicable to `on_configuration_change`. +#### Sample model file: -#### Dist + -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`. +```sql +{{ config( + materialized='materialized_view', + dist='{ ALL | AUTO | EVEN | }', + sort=['', ...], + sort_type='{ AUTO | COMPOUND | INTERLEAVED }' + auto_refresh=, + backup=, +) }} + +select * from {{ ref('my_base_table') }} +``` + + + +Many of these parameters correspond to their table counterparts and have been linked above. +The set of parameters which are unique to materialized views covers auto-refresh and backup functionality, which is covered below. + +Find more information about these parameters in the Redshift docs: +- [CREATE MATERIALIZED VIEW](https://docs.aws.amazon.com/redshift/latest/dg/materialized-view-create-sql-command.html) + +#### Auto-refresh -#### Sort type, sort +| Parameter | Type | Default | Change Monitoring Support | +|----------------|---------|---------|---------------------------| +| `auto_refresh` | BOOLEAN | `False` | ALTER | -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`. +Redshift supports [automatic refresh](https://docs.aws.amazon.com/redshift/latest/dg/materialized-view-refresh.html#materialized-view-auto-refresh) configuration for materialized views. +By default, a materialized view will not automatically refresh. +dbt will monitor this parameter for changes and apply them using an `ALTER` statement. + +Find more information about this parameter in the Redshift docs: +- [Parameters](https://docs.aws.amazon.com/redshift/latest/dg/materialized-view-create-sql-command.html#mv_CREATE_MATERIALIZED_VIEW-parameters) #### 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. +| Parameter | Type | Default | Change Monitoring Support | +|-----------|---------|---------|---------------------------| +| `backup` | BOOLEAN | `True` | N/A | -#### Auto refresh +Redshift supports [backup](https://docs.aws.amazon.com/redshift/latest/mgmt/working-with-snapshots.html) configuration of clusters at the object level. +This parameter identifies if the materialized view should be backed up as part of the cluster snapshot. +By default, a materialized view will be backed up during a cluster snapshot. +dbt cannot monitor this parameter as it is not queryable within Redshift. +If the value is changed, the materialized view will need to go through a `--full-refresh` in order to set it. -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, +Find more information about this parameter in the Redshift docs: +- [Parameters](https://docs.aws.amazon.com/redshift/latest/dg/materialized-view-create-sql-command.html#mv_CREATE_MATERIALIZED_VIEW-parameters) ### Limitations +As with most data platforms, there are limitations associated with materialized views. Some worth noting include: + +- Materialized views cannot reference: views, temporary tables, user defined functions, late-binding tables +- Auto-refresh cannot be used if the materialized view references: mutable functions, external schemas, another materialized view + +Find more information about materialized view limitations in Redshift's [docs](https://docs.aws.amazon.com/redshift/latest/dg/materialized-view-create-sql-command.html#mv_CREATE_MATERIALIZED_VIEW-limitations). + + + #### Changing materialization from "materialized_view" to "table" or "view" Swapping a materialized view to a table or view is not supported. @@ -157,3 +199,5 @@ If the user changes the model's config to `materialized="table"`, they will get The workaround is to execute `DROP MATERIALIZED VIEW my_mv CASCADE` on the data warehouse before trying the model again. + + From 9a034927f2647cd6c7d95511540a4b0e0eefee72 Mon Sep 17 00:00:00 2001 From: Ly Nguyen Date: Tue, 5 Dec 2023 09:55:04 -0800 Subject: [PATCH 032/134] Feedback --- website/docs/docs/collaborate/model-performance.md | 2 +- .../docs/collaborate/project-recommendations.md | 13 ++++++++----- 2 files changed, 9 insertions(+), 6 deletions(-) diff --git a/website/docs/docs/collaborate/model-performance.md b/website/docs/docs/collaborate/model-performance.md index fbbabdff3fc..950703359c1 100644 --- a/website/docs/docs/collaborate/model-performance.md +++ b/website/docs/docs/collaborate/model-performance.md @@ -31,7 +31,7 @@ You can view historical metadata for up to the past three months. Select the tim ## The Model performance tab -The Model performance tab allows for historical performance analysis, showing trends in execution times, counts, and failures. Daily execution data includes: +You can view trends in execution times, counts, and failures by using the Model performance tab for historical performance analysis. Daily execution data includes: - Average model execution time. - Model execution counts, including failures/errors (total sum). diff --git a/website/docs/docs/collaborate/project-recommendations.md b/website/docs/docs/collaborate/project-recommendations.md index 368237de9c0..2874c646e60 100644 --- a/website/docs/docs/collaborate/project-recommendations.md +++ b/website/docs/docs/collaborate/project-recommendations.md @@ -12,16 +12,18 @@ The project recommendations feature is now available in dbt Explorer! Check it o dbt Explorer provides recommendations about your project from the `dbt_project_evaluator` [package](https://hub.getdbt.com/dbt-labs/dbt_project_evaluator/latest/) using metadata from the Discovery API. -Explorer also offers a global view, showing all the recommendations across the project for easy sorting and summarizing. This overview page includes two top-level metrics measuring the test and documentation coverage of the models in your project. +Explorer also offers a global view, showing all the recommendations across the project for easy sorting and summarizing. + +These recommendations provide insight into how you can build a more well documented, well tested, and well built project, leading to less confusion and more trust. + +The Recommendations overview page includes two top-level metrics measuring the test and documentation coverage of the models in your project. - **Model test coverage** — The percent of models in your project (models not from a package or imported via dbt Mesh) with at least one dbt test configured on them. - **Model documentation coverage** — The percent of models in your project (models not from a package or imported via dbt Mesh) with a description. -These recommendations provide insight into how you can build a more well documented, well tested, and well built project, leading to less confusion and more trust. - -The current list of rules are: +## List of rules | Category | Name | Description | Package Docs Link | | --- | --- | --- | --- | @@ -39,8 +41,9 @@ The current list of rules are: | Governance | Public Model Missing Contract | Models with public access that do not have a model contract to ensure the data types | [GitHub](https://dbt-labs.github.io/dbt-project-evaluator/0.8/rules/governance/#public-models-without-contracts) | -Models, sources and exposures each also have a Recommendations tab on their resource details page, with the specific recommendations that correspond to that resource: +## The Recommendations tab +Models, sources and exposures each also have a Recommendations tab on their resource details page, with the specific recommendations that correspond to that resource: From 9b78aac637159a654c64742612fb70d8236694f0 Mon Sep 17 00:00:00 2001 From: Ly Nguyen <107218380+nghi-ly@users.noreply.github.com> Date: Tue, 5 Dec 2023 10:08:47 -0800 Subject: [PATCH 033/134] Update website/docs/docs/collaborate/explore-projects.md Fix build error and feedback on text --- website/docs/docs/collaborate/explore-projects.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/collaborate/explore-projects.md b/website/docs/docs/collaborate/explore-projects.md index 83e97e5c304..71a1d7384f8 100644 --- a/website/docs/docs/collaborate/explore-projects.md +++ b/website/docs/docs/collaborate/explore-projects.md @@ -46,7 +46,7 @@ If you don't see the project lineage graph immediately, click **Render Lineage** The nodes in the lineage graph represent the project’s resources and the edges represent the relationships between the nodes. Nodes are color-coded and include iconography according to their resource type. -By default, dbt Explorer shows the project's [applied state](/dbt-cloud-apis/project-state#definition-logical-vs-applied-state-of-dbt-nodes) lineage. That is, models that have successfully been built and are available to query, not those just defined in the project +By default, dbt Explorer shows the project's [applied state](/docs/dbt-cloud-apis/project-state#definition-logical-vs-applied-state-of-dbt-nodes) lineage. That is, it shows models that have been successfully built and are available to query, not just the models defined in the project. To explore the lineage graphs of tests and macros, view [their resource details pages](#view-resource-details). By default, dbt Explorer excludes these resources from the full lineage graph unless a search query returns them as results. From 406b40851a34268a194b2ae0e15ca5c180c09e92 Mon Sep 17 00:00:00 2001 From: Mike Alfare Date: Tue, 5 Dec 2023 13:10:15 -0500 Subject: [PATCH 034/134] add materialized view configuration for postgres --- .../resource-configs/postgres-configs.md | 46 ++++++++++++++----- 1 file changed, 35 insertions(+), 11 deletions(-) diff --git a/website/docs/reference/resource-configs/postgres-configs.md b/website/docs/reference/resource-configs/postgres-configs.md index 97a695ee12e..f9bd4e11cbc 100644 --- a/website/docs/reference/resource-configs/postgres-configs.md +++ b/website/docs/reference/resource-configs/postgres-configs.md @@ -108,21 +108,43 @@ models: ## Materialized views -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. +The Postgres adapter supports [materialized views](https://www.postgresql.org/docs/current/rules-materializedviews.html) +with the following configuration parameters: -### Monitored configuration changes +| Parameter | Type | Required | Default | Change Monitoring Support | Reference | +|---------------------------|------------|----------|-----------|---------------------------|---------------------| +| `on_configuration_change` | STRING | NO | `'apply'` | N/A | | +| `indexes` | LIST[DICT] | NO | | ALTER | [Indexes](#indexes) | -The settings below are monitored for changes applicable to `on_configuration_change`. +#### Sample model file: -#### Indexes + -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. +```sql +{{ config( + materialized='materialized_view', + on_configuration_change='{ apply | continue | fail }' + indexes=[ + { + 'columns': ['', ...], + 'unique': }, + 'type': '{ HASH | B-TREE | GIST | SP-GIST | GIN | BRIN }', + ] +) }} + +select * from {{ ref('my_base_table') }} +``` + + + +The `indexes` parameter corresponds to that of a table, as linked above. +It's worth noting that, unlike with tables, dbt will monitor this parameter for changes and apply the changes without dropping the materialized view. +This happens via a `DROP/CREATE` of the indexes, which could be thought of as a `ALTER` of the materialized view. + +Find more information about materialized view parameters in the Postgres docs: +- [CREATE MATERIALIZED VIEW](https://www.postgresql.org/docs/current/sql-creatematerializedview.html) + + ### Limitations @@ -138,3 +160,5 @@ If the user changes the model's config to `materialized="materialized_view"`, th The solution is to execute `DROP TABLE my_model` on the data warehouse before trying the model again. + + From 99ba899848b319af3943c0b526ff6754de21bd29 Mon Sep 17 00:00:00 2001 From: Mike Alfare Date: Tue, 5 Dec 2023 13:16:15 -0500 Subject: [PATCH 035/134] add required column --- .../resource-configs/redshift-configs.md | 28 +++++++++---------- 1 file changed, 14 insertions(+), 14 deletions(-) diff --git a/website/docs/reference/resource-configs/redshift-configs.md b/website/docs/reference/resource-configs/redshift-configs.md index ea0e4cad7b5..635fecc5e02 100644 --- a/website/docs/reference/resource-configs/redshift-configs.md +++ b/website/docs/reference/resource-configs/redshift-configs.md @@ -114,14 +114,14 @@ models: The Redshift adapter supports [materialized views](https://docs.aws.amazon.com/redshift/latest/dg/materialized-view-overview.html) with the following configuration parameters: -| Parameter | Type | Default | Change Monitoring Support | Reference | -|----------------|--------------|------------------------|---------------------------|-------------------------------------------------| -| `dist` | STRING | `'EVEN'` | DROP/CREATE | [Sortkey / Distkey](#using-sortkey-and-distkey) | -| `sort` | LIST[STRING] | `None` | DROP/CREATE | [Sortkey / Distkey](#using-sortkey-and-distkey) | -| `sort_type` | STRING | `'AUTO'` if no `sort` | DROP/CREATE | [Sortkey / Distkey](#using-sortkey-and-distkey) | -| | | `'COMPOUND'` if `sort` | | | -| `auto_refresh` | BOOLEAN | `False` | ALTER | [Auto refresh](#auto-refresh) | -| `backup` | BOOLEAN | `True` | N/A | [Backup](#backup) | +| Parameter | Type | Required | Default | Change Monitoring Support | Reference | +|----------------|--------------|----------|------------------------|---------------------------|-------------------------------------------------| +| `dist` | STRING | NO | `'EVEN'` | DROP/CREATE | [Sortkey / Distkey](#using-sortkey-and-distkey) | +| `sort` | LIST[STRING] | NO | | DROP/CREATE | [Sortkey / Distkey](#using-sortkey-and-distkey) | +| `sort_type` | STRING | NO | `'AUTO'` if no `sort` | DROP/CREATE | [Sortkey / Distkey](#using-sortkey-and-distkey) | +| | | | `'COMPOUND'` if `sort` | | | +| `auto_refresh` | BOOLEAN | NO | `False` | ALTER | [Auto refresh](#auto-refresh) | +| `backup` | BOOLEAN | HO | `True` | N/A | [Backup](#backup) | #### Sample model file: @@ -150,9 +150,9 @@ Find more information about these parameters in the Redshift docs: #### Auto-refresh -| Parameter | Type | Default | Change Monitoring Support | -|----------------|---------|---------|---------------------------| -| `auto_refresh` | BOOLEAN | `False` | ALTER | +| Parameter | Type | Required | Default | Change Monitoring Support | +|----------------|---------|----------|---------|---------------------------| +| `auto_refresh` | BOOLEAN | NO | `False` | ALTER | Redshift supports [automatic refresh](https://docs.aws.amazon.com/redshift/latest/dg/materialized-view-refresh.html#materialized-view-auto-refresh) configuration for materialized views. By default, a materialized view will not automatically refresh. @@ -163,9 +163,9 @@ Find more information about this parameter in the Redshift docs: #### Backup -| Parameter | Type | Default | Change Monitoring Support | -|-----------|---------|---------|---------------------------| -| `backup` | BOOLEAN | `True` | N/A | +| Parameter | Type | Required | Default | Change Monitoring Support | +|-----------|---------|----------|---------|---------------------------| +| `backup` | BOOLEAN | NO | `True` | N/A | Redshift supports [backup](https://docs.aws.amazon.com/redshift/latest/mgmt/working-with-snapshots.html) configuration of clusters at the object level. This parameter identifies if the materialized view should be backed up as part of the cluster snapshot. From 0256471955d8480994f515a9e98092317939ea8d Mon Sep 17 00:00:00 2001 From: Mike Alfare Date: Tue, 5 Dec 2023 13:19:21 -0500 Subject: [PATCH 036/134] add required column --- .../resource-configs/bigquery-configs.md | 32 +++++++++---------- 1 file changed, 16 insertions(+), 16 deletions(-) diff --git a/website/docs/reference/resource-configs/bigquery-configs.md b/website/docs/reference/resource-configs/bigquery-configs.md index eabefe90d4e..9d2b4abed75 100644 --- a/website/docs/reference/resource-configs/bigquery-configs.md +++ b/website/docs/reference/resource-configs/bigquery-configs.md @@ -725,17 +725,17 @@ The `grant_access_to` config is not thread-safe when multiple views need to be a The BigQuery adapter supports [materialized views](https://cloud.google.com/bigquery/docs/materialized-views-intro) with the following configuration parameters: -| Parameter | Type | Default | Change Monitoring Support | Reference | -|------------------------------|----------------------|---------|---------------------------|--------------------------------------------------| -| `cluster_by` | LIST[STRING] | `None` | DROP/CREATE | [Clustering](#clustering-clause) | -| `partition_by` | DICT | `None` | DROP/CREATE | [Partitioning](#partition-clause) | -| `enable_refresh` | BOOLEAN | `True` | ALTER | [Auto-refresh](#auto-refresh) | -| `refresh_interval_minutes` | FLOAT | `30` | ALTER | [Auto-refresh](#auto-refresh) | -| `max_staleness` (in Preview) | INTERVAL | `None` | ALTER | [Auto-refresh](#auto-refresh) | -| `description` | STRING | `None` | ALTER | | -| `labels` | DICT[STRING, STRING] | `None` | ALTER | [Labels](#specifying-labels) | -| `hours_to_expiration` | INTEGER | `None` | ALTER | [Table expiration](controlling-table-expiration) | -| `kms_key_name` | STRING | `None` | ALTER | [KMS encryption](#using-kms-encryption) | +| Parameter | Type | Required | Default | Change Monitoring Support | Reference | +|------------------------------|----------------------|----------|---------|---------------------------|--------------------------------------------------| +| `cluster_by` | LIST[STRING] | NO | | DROP/CREATE | [Clustering](#clustering-clause) | +| `partition_by` | DICT | NO | | DROP/CREATE | [Partitioning](#partition-clause) | +| `enable_refresh` | BOOLEAN | NO | `True` | ALTER | [Auto-refresh](#auto-refresh) | +| `refresh_interval_minutes` | FLOAT | NO | `30` | ALTER | [Auto-refresh](#auto-refresh) | +| `max_staleness` (in Preview) | INTERVAL | NO | | ALTER | [Auto-refresh](#auto-refresh) | +| `description` | STRING | NO | | ALTER | | +| `labels` | DICT[STRING, STRING] | NO | | ALTER | [Labels](#specifying-labels) | +| `hours_to_expiration` | INTEGER | NO | | ALTER | [Table expiration](controlling-table-expiration) | +| `kms_key_name` | STRING | NO | | ALTER | [KMS encryption](#using-kms-encryption) | #### Sample model file: @@ -786,11 +786,11 @@ Find more information about these parameters in the BigQuery docs: ### Auto-refresh -| Parameter | Type | Default | Change Monitoring Support | -|-------------------------------|----------|---------|---------------------------| -| `enable_refresh` | BOOLEAN | `True` | ALTER | -| `max_staleness` (in Preview) | INTERVAL | `None` | ALTER | -| `refresh_interval_minutes` | FLOAT | `30` | ALTER | +| Parameter | Type | Required | Default | Change Monitoring Support | +|-------------------------------|----------|----------|---------|---------------------------| +| `enable_refresh` | BOOLEAN | NO | `True` | ALTER | +| `refresh_interval_minutes` | FLOAT | NO | `30` | ALTER | +| `max_staleness` (in Preview) | INTERVAL | NO | | ALTER | BigQuery supports [automatic refresh](https://cloud.google.com/bigquery/docs/materialized-views-manage#automatic_refresh) configuration for materialized views. By default, a materialized view will automatically refresh within 5 minutes of changes in the base table, but no more frequently than every 30 minutes. From 88d681930b0ed629ed3c5e464cc65ec692d4d036 Mon Sep 17 00:00:00 2001 From: Mike Alfare Date: Tue, 5 Dec 2023 13:23:01 -0500 Subject: [PATCH 037/134] add on_configuration_change --- .../resource-configs/bigquery-configs.md | 24 ++++++++++--------- 1 file changed, 13 insertions(+), 11 deletions(-) diff --git a/website/docs/reference/resource-configs/bigquery-configs.md b/website/docs/reference/resource-configs/bigquery-configs.md index 9d2b4abed75..97acb73ce33 100644 --- a/website/docs/reference/resource-configs/bigquery-configs.md +++ b/website/docs/reference/resource-configs/bigquery-configs.md @@ -725,17 +725,18 @@ The `grant_access_to` config is not thread-safe when multiple views need to be a The BigQuery adapter supports [materialized views](https://cloud.google.com/bigquery/docs/materialized-views-intro) with the following configuration parameters: -| Parameter | Type | Required | Default | Change Monitoring Support | Reference | -|------------------------------|----------------------|----------|---------|---------------------------|--------------------------------------------------| -| `cluster_by` | LIST[STRING] | NO | | DROP/CREATE | [Clustering](#clustering-clause) | -| `partition_by` | DICT | NO | | DROP/CREATE | [Partitioning](#partition-clause) | -| `enable_refresh` | BOOLEAN | NO | `True` | ALTER | [Auto-refresh](#auto-refresh) | -| `refresh_interval_minutes` | FLOAT | NO | `30` | ALTER | [Auto-refresh](#auto-refresh) | -| `max_staleness` (in Preview) | INTERVAL | NO | | ALTER | [Auto-refresh](#auto-refresh) | -| `description` | STRING | NO | | ALTER | | -| `labels` | DICT[STRING, STRING] | NO | | ALTER | [Labels](#specifying-labels) | -| `hours_to_expiration` | INTEGER | NO | | ALTER | [Table expiration](controlling-table-expiration) | -| `kms_key_name` | STRING | NO | | ALTER | [KMS encryption](#using-kms-encryption) | +| Parameter | Type | Required | Default | Change Monitoring Support | Reference | +|------------------------------|----------------------|----------|-----------|---------------------------|--------------------------------------------------| +| `on_configuration_change` | STRING | NO | `'apply'` | N/A | | +| `cluster_by` | LIST[STRING] | NO | | DROP/CREATE | [Clustering](#clustering-clause) | +| `partition_by` | DICT | NO | | DROP/CREATE | [Partitioning](#partition-clause) | +| `enable_refresh` | BOOLEAN | NO | `True` | ALTER | [Auto-refresh](#auto-refresh) | +| `refresh_interval_minutes` | FLOAT | NO | `30` | ALTER | [Auto-refresh](#auto-refresh) | +| `max_staleness` (in Preview) | INTERVAL | NO | | ALTER | [Auto-refresh](#auto-refresh) | +| `description` | STRING | NO | | ALTER | | +| `labels` | DICT[STRING, STRING] | NO | | ALTER | [Labels](#specifying-labels) | +| `hours_to_expiration` | INTEGER | NO | | ALTER | [Table expiration](controlling-table-expiration) | +| `kms_key_name` | STRING | NO | | ALTER | [KMS encryption](#using-kms-encryption) | #### Sample model file: @@ -744,6 +745,7 @@ with the following configuration parameters: ```sql {{ config( materialized='materialized_view', + on_configuration_change='{ apply | continue | fail }' cluster_by=['', ...], partition_by={ 'field': '', From bd764ceb01701d9d36ded64b4ae02843ac49a23c Mon Sep 17 00:00:00 2001 From: Mike Alfare Date: Tue, 5 Dec 2023 13:24:48 -0500 Subject: [PATCH 038/134] add on_configuration_change --- .../resource-configs/redshift-configs.md | 18 ++++++++++-------- 1 file changed, 10 insertions(+), 8 deletions(-) diff --git a/website/docs/reference/resource-configs/redshift-configs.md b/website/docs/reference/resource-configs/redshift-configs.md index 635fecc5e02..8c9b015ded3 100644 --- a/website/docs/reference/resource-configs/redshift-configs.md +++ b/website/docs/reference/resource-configs/redshift-configs.md @@ -114,14 +114,15 @@ models: The Redshift adapter supports [materialized views](https://docs.aws.amazon.com/redshift/latest/dg/materialized-view-overview.html) with the following configuration parameters: -| Parameter | Type | Required | Default | Change Monitoring Support | Reference | -|----------------|--------------|----------|------------------------|---------------------------|-------------------------------------------------| -| `dist` | STRING | NO | `'EVEN'` | DROP/CREATE | [Sortkey / Distkey](#using-sortkey-and-distkey) | -| `sort` | LIST[STRING] | NO | | DROP/CREATE | [Sortkey / Distkey](#using-sortkey-and-distkey) | -| `sort_type` | STRING | NO | `'AUTO'` if no `sort` | DROP/CREATE | [Sortkey / Distkey](#using-sortkey-and-distkey) | -| | | | `'COMPOUND'` if `sort` | | | -| `auto_refresh` | BOOLEAN | NO | `False` | ALTER | [Auto refresh](#auto-refresh) | -| `backup` | BOOLEAN | HO | `True` | N/A | [Backup](#backup) | +| Parameter | Type | Required | Default | Change Monitoring Support | Reference | +|---------------------------|--------------|----------|------------------------|---------------------------|-------------------------------------------------| +| `on_configuration_change` | STRING | NO | `'apply'` | N/A | | +| `dist` | STRING | NO | `'EVEN'` | DROP/CREATE | [Sortkey / Distkey](#using-sortkey-and-distkey) | +| `sort` | LIST[STRING] | NO | | DROP/CREATE | [Sortkey / Distkey](#using-sortkey-and-distkey) | +| `sort_type` | STRING | NO | `'AUTO'` if no `sort` | DROP/CREATE | [Sortkey / Distkey](#using-sortkey-and-distkey) | +| | | | `'COMPOUND'` if `sort` | | | +| `auto_refresh` | BOOLEAN | NO | `False` | ALTER | [Auto refresh](#auto-refresh) | +| `backup` | BOOLEAN | HO | `True` | N/A | [Backup](#backup) | #### Sample model file: @@ -130,6 +131,7 @@ with the following configuration parameters: ```sql {{ config( materialized='materialized_view', + on_configuration_change='{ apply | continue | fail }' dist='{ ALL | AUTO | EVEN | }', sort=['', ...], sort_type='{ AUTO | COMPOUND | INTERLEAVED }' From 3ca806c8e56a14ebf3c470a19bf625b8342a8379 Mon Sep 17 00:00:00 2001 From: Mike Alfare Date: Tue, 5 Dec 2023 13:25:57 -0500 Subject: [PATCH 039/134] add on_configuration_change --- 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 6c7ba86d353..39dd4430c4c 100644 --- a/website/docs/reference/resource-configs/snowflake-configs.md +++ b/website/docs/reference/resource-configs/snowflake-configs.md @@ -368,7 +368,7 @@ Dynamic tables are supported with the following configuration parameters: ```sql {{ config( materialized='dynamic_table', - on_configuration_change='', + on_configuration_change='{ apply | continue | fail }', target_lag='< { seconds | minutes | hours | days } | DOWNSTREAM>', snowflake_warehouse='', ) }} From 2932198a7ada0b29c7eca9fd2e879d71f6608399 Mon Sep 17 00:00:00 2001 From: Florian Eiden Date: Tue, 5 Dec 2023 11:04:40 -0800 Subject: [PATCH 040/134] Remove beta tag --- 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 4e1cba64e00..6e096b83750 100644 --- a/website/snippets/_cloud-environments-info.md +++ b/website/snippets/_cloud-environments-info.md @@ -62,7 +62,7 @@ By default, all environments will use the default branch in your repository (usu For more info, check out this [FAQ page on this topic](/faqs/Environments/custom-branch-settings)! -### Extended attributes +### Extended attributes :::note Extended attributes are retrieved and applied only at runtime when `profiles.yml` is requested for a specific Cloud run. Extended attributes are currently _not_ taken into consideration for Cloud-specific features such as PrivateLink or SSH Tunneling that do not rely on `profiles.yml` values. From df810bf70bdabea28148cbd51375c9a91022eb1f Mon Sep 17 00:00:00 2001 From: Ly Nguyen Date: Tue, 5 Dec 2023 12:35:51 -0800 Subject: [PATCH 041/134] Fix callouts --- website/docs/docs/collaborate/model-performance.md | 4 ++-- website/docs/docs/collaborate/project-recommendations.md | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/website/docs/docs/collaborate/model-performance.md b/website/docs/docs/collaborate/model-performance.md index 950703359c1..7ef675b4e1e 100644 --- a/website/docs/docs/collaborate/model-performance.md +++ b/website/docs/docs/collaborate/model-performance.md @@ -8,9 +8,9 @@ dbt Explorer provides metadata on dbt Cloud runs for in-depth model performance -:::tip Public preview +:::tip Beta -The model performance feature is now available in dbt Explorer! Check it out! +The model performance beta feature is now available in dbt Explorer! Check it out! ::: ## The Performance overview page diff --git a/website/docs/docs/collaborate/project-recommendations.md b/website/docs/docs/collaborate/project-recommendations.md index 2874c646e60..e6263a875fc 100644 --- a/website/docs/docs/collaborate/project-recommendations.md +++ b/website/docs/docs/collaborate/project-recommendations.md @@ -4,9 +4,9 @@ sidebar_label: "Project recommendations" description: "dbt Explorer provides recommendations that you can take to improve the quality of your dbt project." --- -:::tip Public preview +:::tip Beta -The project recommendations feature is now available in dbt Explorer! Check it out! +The project recommendations beta feature is now available in dbt Explorer! Check it out! ::: From 55d37b71142f270cff5cdce03b74d528f31e7f9b Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Tue, 5 Dec 2023 16:35:28 -0500 Subject: [PATCH 042/134] Apply suggestions from code review --- .../resource-configs/redshift-configs.md | 19 ++++++++----------- 1 file changed, 8 insertions(+), 11 deletions(-) diff --git a/website/docs/reference/resource-configs/redshift-configs.md b/website/docs/reference/resource-configs/redshift-configs.md index 8c9b015ded3..0e079453ec6 100644 --- a/website/docs/reference/resource-configs/redshift-configs.md +++ b/website/docs/reference/resource-configs/redshift-configs.md @@ -145,10 +145,9 @@ select * from {{ ref('my_base_table') }} Many of these parameters correspond to their table counterparts and have been linked above. -The set of parameters which are unique to materialized views covers auto-refresh and backup functionality, which is covered below. +The parameters unique to materialized views are the auto-refresh and backup functionality, which are covered below. -Find more information about these parameters in the Redshift docs: -- [CREATE MATERIALIZED VIEW](https://docs.aws.amazon.com/redshift/latest/dg/materialized-view-create-sql-command.html) +Find more information about the [CREATE MATERIALIZED VIEW](https://docs.aws.amazon.com/redshift/latest/dg/materialized-view-create-sql-command.html) parameters in the Redshift docs. #### Auto-refresh @@ -157,11 +156,10 @@ Find more information about these parameters in the Redshift docs: | `auto_refresh` | BOOLEAN | NO | `False` | ALTER | Redshift supports [automatic refresh](https://docs.aws.amazon.com/redshift/latest/dg/materialized-view-refresh.html#materialized-view-auto-refresh) configuration for materialized views. -By default, a materialized view will not automatically refresh. -dbt will monitor this parameter for changes and apply them using an `ALTER` statement. +By default, a materialized view does not automatically refresh. +dbt monitors this parameter for changes and applies them using an `ALTER` statement. -Find more information about this parameter in the Redshift docs: -- [Parameters](https://docs.aws.amazon.com/redshift/latest/dg/materialized-view-create-sql-command.html#mv_CREATE_MATERIALIZED_VIEW-parameters) +Find more information about the [parameters](https://docs.aws.amazon.com/redshift/latest/dg/materialized-view-create-sql-command.html#mv_CREATE_MATERIALIZED_VIEW-parameters) in the Redshift docs. #### Backup @@ -175,15 +173,14 @@ By default, a materialized view will be backed up during a cluster snapshot. dbt cannot monitor this parameter as it is not queryable within Redshift. If the value is changed, the materialized view will need to go through a `--full-refresh` in order to set it. -Find more information about this parameter in the Redshift docs: -- [Parameters](https://docs.aws.amazon.com/redshift/latest/dg/materialized-view-create-sql-command.html#mv_CREATE_MATERIALIZED_VIEW-parameters) +Find more information about the [parameters](https://docs.aws.amazon.com/redshift/latest/dg/materialized-view-create-sql-command.html#mv_CREATE_MATERIALIZED_VIEW-parameters) in the Redshift docs. ### Limitations As with most data platforms, there are limitations associated with materialized views. Some worth noting include: -- Materialized views cannot reference: views, temporary tables, user defined functions, late-binding tables -- Auto-refresh cannot be used if the materialized view references: mutable functions, external schemas, another materialized view +- Materialized views cannot reference views, temporary tables, user-defined functions, or late-binding tables. +- Auto-refresh cannot be used if the materialized view references mutable functions, external schemas, or another materialized view. Find more information about materialized view limitations in Redshift's [docs](https://docs.aws.amazon.com/redshift/latest/dg/materialized-view-create-sql-command.html#mv_CREATE_MATERIALIZED_VIEW-limitations). From c9047178285e293d54ebe7e175d3509a6d124900 Mon Sep 17 00:00:00 2001 From: Pat Kearns Date: Wed, 6 Dec 2023 09:54:45 +1100 Subject: [PATCH 043/134] Update sso-overview.md You might want to update the documentation to highlight that access with local password authentication will persist unless a departed employees user record is deleted in dbt. --- website/docs/docs/cloud/manage-access/sso-overview.md | 1 + 1 file changed, 1 insertion(+) diff --git a/website/docs/docs/cloud/manage-access/sso-overview.md b/website/docs/docs/cloud/manage-access/sso-overview.md index f613df7907e..e0695708957 100644 --- a/website/docs/docs/cloud/manage-access/sso-overview.md +++ b/website/docs/docs/cloud/manage-access/sso-overview.md @@ -67,4 +67,5 @@ If you have any non-admin users logging into dbt Cloud with a password today: 1. Ensure that all users have a user account in your identity provider and are assigned dbt Cloud so they won’t lose access. 2. Alert all dbt Cloud users that they won’t be able to use a password for logging in anymore unless they are already an Admin with a password. 3. We **DO NOT** recommend promoting any users to Admins just to preserve password-based logins because you will reduce security of your dbt Cloud environment. +4. If an Admin leaves your company, manually delete their user to prevent non-SSO access via username and password. ** From dd528759bc7dcf08e7e5e7a7d4e177387eee16c9 Mon Sep 17 00:00:00 2001 From: Doug Beatty <44704949+dbeatty10@users.noreply.github.com> Date: Tue, 5 Dec 2023 16:15:21 -0700 Subject: [PATCH 044/134] Update content-style-guide.md --- contributing/content-style-guide.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/contributing/content-style-guide.md b/contributing/content-style-guide.md index 0d2bf243d45..e6fafec4593 100644 --- a/contributing/content-style-guide.md +++ b/contributing/content-style-guide.md @@ -284,7 +284,7 @@ If the list starts getting lengthy and dense, consider presenting the same conte A bulleted list with introductory text: -> A dbt project is a directory of `.sql` and .yml` files. The directory must contain at a minimum: +> A dbt project is a directory of `.sql` and `.yml` files. The directory must contain at a minimum: > > - Models: A model is a single `.sql` file. Each model contains a single `select` statement that either transforms raw data into a dataset that is ready for analytics or, more often, is an intermediate step in such a transformation. > - A project file: A `dbt_project.yml` file, which configures and defines your dbt project. From e4bfe566212d1cc2d46a8f2b4ed5938f3407aeea Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Tue, 5 Dec 2023 18:23:35 -0500 Subject: [PATCH 045/134] Update _v2-sl-prerequisites.md fix typo in snippet: deploymnet --> deployment --- 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 6a9babcf0e0..eb8b5fc27e4 100644 --- a/website/snippets/_v2-sl-prerequisites.md +++ b/website/snippets/_v2-sl-prerequisites.md @@ -1,7 +1,7 @@ -- Have a dbt Cloud Team or Enterprise account. Suitable for both Multi-tenant and Single-tenant deploymnet. +- Have a dbt Cloud Team or Enterprise account. Suitable for both Multi-tenant and Single-tenant deployment. - Note: Single-tenant accounts should contact their account representative for necessary setup and enablement. - Have both your production and development environments running [dbt version 1.6 or higher](/docs/dbt-versions/upgrade-core-in-cloud). - Use Snowflake, BigQuery, Databricks, or Redshift. From eb162a0e3964ff65d59556a2a798d41cc618b88e Mon Sep 17 00:00:00 2001 From: richardgourley Date: Wed, 6 Dec 2023 13:13:18 +0100 Subject: [PATCH 046/134] Small typo fixed --- website/docs/terms/data-wrangling.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/terms/data-wrangling.md b/website/docs/terms/data-wrangling.md index 58034fe8e91..d251119c96a 100644 --- a/website/docs/terms/data-wrangling.md +++ b/website/docs/terms/data-wrangling.md @@ -51,7 +51,7 @@ The cleaning stage involves using different functions so that the values in your - Removing appropriate duplicates or nulls you found in the discovery process - Eliminating unnecessary characters or spaces from values -Certain cleaning steps, like removing rows with null values, are helpful to do at the beginning of the process because removing nulls and duplicates from the start can increase the performance of your downstream models. In the cleaning step, it’s important to follow a standard for your transformations here. This means you should be following a consistent naming convention for your columns (especially for your primary keys) and casting to the same timezone and datatypes throughout your models. Examples include making sure all dates are in UTC time rather than source timezone-specific, all string in either lower or upper case, etc. +Certain cleaning steps, like removing rows with null values, are helpful to do at the beginning of the process because removing nulls and duplicates from the start can increase the performance of your downstream models. In the cleaning step, it’s important to follow a standard for your transformations here. This means you should be following a consistent naming convention for your columns (especially for your primary keys) and casting to the same timezone and datatypes throughout your models. Examples include making sure all dates are in UTC time rather than source timezone-specific, all strings in either lower or upper case, etc. :::tip dbt to the rescue! If you're struggling to do all the cleaning on your own, remember that dbt packages ([dbt expectations](https://github.com/calogica/dbt-expectations), [dbt_utils](https://hub.getdbt.com/dbt-labs/dbt_utils/latest/), and [re_data](https://www.getre.io/)) and their macros are also available to help you clean up your data. From 88221a2c4ac615a6da7f82b98765ba0f8c9cf372 Mon Sep 17 00:00:00 2001 From: richardgourley Date: Wed, 6 Dec 2023 13:18:57 +0100 Subject: [PATCH 047/134] Typo fixed - small adjustment --- website/docs/terms/data-wrangling.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/terms/data-wrangling.md b/website/docs/terms/data-wrangling.md index d251119c96a..b164855ff9b 100644 --- a/website/docs/terms/data-wrangling.md +++ b/website/docs/terms/data-wrangling.md @@ -51,7 +51,7 @@ The cleaning stage involves using different functions so that the values in your - Removing appropriate duplicates or nulls you found in the discovery process - Eliminating unnecessary characters or spaces from values -Certain cleaning steps, like removing rows with null values, are helpful to do at the beginning of the process because removing nulls and duplicates from the start can increase the performance of your downstream models. In the cleaning step, it’s important to follow a standard for your transformations here. This means you should be following a consistent naming convention for your columns (especially for your primary keys) and casting to the same timezone and datatypes throughout your models. Examples include making sure all dates are in UTC time rather than source timezone-specific, all strings in either lower or upper case, etc. +Certain cleaning steps, like removing rows with null values, are helpful to do at the beginning of the process because removing nulls and duplicates from the start can increase the performance of your downstream models. In the cleaning step, it’s important to follow a standard for your transformations here. This means you should be following a consistent naming convention for your columns (especially for your primary keys) and casting to the same timezone and datatypes throughout your models. Examples include making sure all dates are in UTC time rather than source timezone-specific, all strings are in either lower or upper case, etc. :::tip dbt to the rescue! If you're struggling to do all the cleaning on your own, remember that dbt packages ([dbt expectations](https://github.com/calogica/dbt-expectations), [dbt_utils](https://hub.getdbt.com/dbt-labs/dbt_utils/latest/), and [re_data](https://www.getre.io/)) and their macros are also available to help you clean up your data. From 4fea0df1ee4d6516846bf837dca150c6253d174f Mon Sep 17 00:00:00 2001 From: john-rock Date: Wed, 6 Dec 2023 08:37:26 -0500 Subject: [PATCH 048/134] update community awards --- website/docs/community/spotlight/alison-stanton.md | 1 + website/docs/community/spotlight/bruno-de-lima.md | 1 + website/docs/community/spotlight/dakota-kelley.md | 1 + website/docs/community/spotlight/fabiyi-opeyemi.md | 1 + website/docs/community/spotlight/josh-devlin.md | 1 + website/docs/community/spotlight/karen-hsieh.md | 1 + website/docs/community/spotlight/oliver-cramer.md | 1 + website/docs/community/spotlight/sam-debruyn.md | 1 + website/docs/community/spotlight/stacy-lo.md | 1 + website/docs/community/spotlight/sydney-burns.md | 1 + 10 files changed, 10 insertions(+) diff --git a/website/docs/community/spotlight/alison-stanton.md b/website/docs/community/spotlight/alison-stanton.md index 2054f78b0b7..fd4a1796411 100644 --- a/website/docs/community/spotlight/alison-stanton.md +++ b/website/docs/community/spotlight/alison-stanton.md @@ -17,6 +17,7 @@ socialLinks: link: https://github.com/alison985/ dateCreated: 2023-11-07 hide_table_of_contents: true +communityAward: true --- ## When did you join the dbt community and in what way has it impacted your career? diff --git a/website/docs/community/spotlight/bruno-de-lima.md b/website/docs/community/spotlight/bruno-de-lima.md index 0365ee6c6a8..3cce6135ae0 100644 --- a/website/docs/community/spotlight/bruno-de-lima.md +++ b/website/docs/community/spotlight/bruno-de-lima.md @@ -20,6 +20,7 @@ socialLinks: link: https://medium.com/@bruno.szdl dateCreated: 2023-11-05 hide_table_of_contents: true +communityAward: true --- ## When did you join the dbt community and in what way has it impacted your career? diff --git a/website/docs/community/spotlight/dakota-kelley.md b/website/docs/community/spotlight/dakota-kelley.md index 57834d9cdff..85b79f0e85a 100644 --- a/website/docs/community/spotlight/dakota-kelley.md +++ b/website/docs/community/spotlight/dakota-kelley.md @@ -15,6 +15,7 @@ socialLinks: link: https://www.linkedin.com/in/dakota-kelley/ dateCreated: 2023-11-08 hide_table_of_contents: true +communityAward: true --- ## When did you join the dbt community and in what way has it impacted your career? diff --git a/website/docs/community/spotlight/fabiyi-opeyemi.md b/website/docs/community/spotlight/fabiyi-opeyemi.md index f67ff4aaefc..67efd90e1c5 100644 --- a/website/docs/community/spotlight/fabiyi-opeyemi.md +++ b/website/docs/community/spotlight/fabiyi-opeyemi.md @@ -18,6 +18,7 @@ socialLinks: link: https://www.linkedin.com/in/opeyemifabiyi/ dateCreated: 2023-11-06 hide_table_of_contents: true +communityAward: true --- ## When did you join the dbt community and in what way has it impacted your career? diff --git a/website/docs/community/spotlight/josh-devlin.md b/website/docs/community/spotlight/josh-devlin.md index d8a9b91c282..6036105940b 100644 --- a/website/docs/community/spotlight/josh-devlin.md +++ b/website/docs/community/spotlight/josh-devlin.md @@ -23,6 +23,7 @@ socialLinks: link: https://www.linkedin.com/in/josh-devlin/ dateCreated: 2023-11-10 hide_table_of_contents: true +communityAward: true --- ## When did you join the dbt community and in what way has it impacted your career? diff --git a/website/docs/community/spotlight/karen-hsieh.md b/website/docs/community/spotlight/karen-hsieh.md index 5147f39ce59..22d6915baf7 100644 --- a/website/docs/community/spotlight/karen-hsieh.md +++ b/website/docs/community/spotlight/karen-hsieh.md @@ -24,6 +24,7 @@ socialLinks: link: https://medium.com/@ijacwei dateCreated: 2023-11-04 hide_table_of_contents: true +communityAward: true --- ## When did you join the dbt community and in what way has it impacted your career? diff --git a/website/docs/community/spotlight/oliver-cramer.md b/website/docs/community/spotlight/oliver-cramer.md index bfd62db0908..7e9974a8a2c 100644 --- a/website/docs/community/spotlight/oliver-cramer.md +++ b/website/docs/community/spotlight/oliver-cramer.md @@ -16,6 +16,7 @@ socialLinks: link: https://www.linkedin.com/in/oliver-cramer/ dateCreated: 2023-11-02 hide_table_of_contents: true +communityAward: true --- ## When did you join the dbt community and in what way has it impacted your career? diff --git a/website/docs/community/spotlight/sam-debruyn.md b/website/docs/community/spotlight/sam-debruyn.md index 166adf58b09..24ce7aa1b15 100644 --- a/website/docs/community/spotlight/sam-debruyn.md +++ b/website/docs/community/spotlight/sam-debruyn.md @@ -18,6 +18,7 @@ socialLinks: link: https://debruyn.dev/ dateCreated: 2023-11-03 hide_table_of_contents: true +communityAward: true --- ## When did you join the dbt community and in what way has it impacted your career? diff --git a/website/docs/community/spotlight/stacy-lo.md b/website/docs/community/spotlight/stacy-lo.md index f0b70fcc225..23a5491dd18 100644 --- a/website/docs/community/spotlight/stacy-lo.md +++ b/website/docs/community/spotlight/stacy-lo.md @@ -17,6 +17,7 @@ socialLinks: link: https://www.linkedin.com/in/olycats/ dateCreated: 2023-11-01 hide_table_of_contents: true +communityAward: true --- ## When did you join the dbt community and in what way has it impacted your career? diff --git a/website/docs/community/spotlight/sydney-burns.md b/website/docs/community/spotlight/sydney-burns.md index ecebd6cdec0..25278ac6ecf 100644 --- a/website/docs/community/spotlight/sydney-burns.md +++ b/website/docs/community/spotlight/sydney-burns.md @@ -15,6 +15,7 @@ socialLinks: link: https://www.linkedin.com/in/sydneyeburns/ dateCreated: 2023-11-09 hide_table_of_contents: true +communityAward: true --- ## When did you join the dbt community and in what way has it impacted your career? From 025bbac6d50ad512388aa48b86778a7827e83801 Mon Sep 17 00:00:00 2001 From: Ly Nguyen Date: Wed, 6 Dec 2023 09:58:35 -0800 Subject: [PATCH 049/134] Release note for GA of extended attrs --- .../74-Dec-2023/external-attributes.md | 16 ++++++++++++++++ 1 file changed, 16 insertions(+) create mode 100644 website/docs/docs/dbt-versions/release-notes/74-Dec-2023/external-attributes.md diff --git a/website/docs/docs/dbt-versions/release-notes/74-Dec-2023/external-attributes.md b/website/docs/docs/dbt-versions/release-notes/74-Dec-2023/external-attributes.md new file mode 100644 index 00000000000..25791b66fb1 --- /dev/null +++ b/website/docs/docs/dbt-versions/release-notes/74-Dec-2023/external-attributes.md @@ -0,0 +1,16 @@ +--- +title: "Update: Extended attributes is GA" +description: "December 2023: The extended attributes feature is now GA in dbt Cloud. It enables you to override dbt adapter YAML attributes at the environment level." +sidebar_label: "Update: Extended attributes is GA" +sidebar_position: 10 +tags: [Dec-2023] +date: 2023-12-06 +--- + +The extended attributes feature in dbt Cloud is now GA! It allows for an environment level override on any YAML attribute that a dbt adapter accepts in its `profiles.yml`. You can provide a YAML snippet to add or replace any [profile](/docs/core/connect-data-platform/profiles.yml) value. + +To learn more, refer to [Extended attributes](/docs/dbt-cloud-environments#extended-attributes). + +The **Extended Atrributes** text box is available from your environment's settings page: + + From 2a37313cc201d71ec83d03c746dac5482ea05811 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Wed, 6 Dec 2023 16:42:24 -0500 Subject: [PATCH 050/134] Update sso-overview.md Moving the addition up to security best practices --- website/docs/docs/cloud/manage-access/sso-overview.md | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/website/docs/docs/cloud/manage-access/sso-overview.md b/website/docs/docs/cloud/manage-access/sso-overview.md index e0695708957..b4954955c8c 100644 --- a/website/docs/docs/cloud/manage-access/sso-overview.md +++ b/website/docs/docs/cloud/manage-access/sso-overview.md @@ -57,8 +57,9 @@ Non-admin users that currently login with a password will no longer be able to d ### Security best practices There are a few scenarios that might require you to login with a password. We recommend these security best-practices for the two most common scenarios: -* **Onboarding partners and contractors** - We highly recommend that you add partners and contractors to your Identity Provider. IdPs like Okta and Azure Active Directory (AAD) offer capabilities explicitly for temporary employees. We highly recommend that you reach out to your IT team to provision an SSO license for these situations. Using an IdP highly secure, reduces any breach risk, and significantly increases the security posture of your dbt Cloud environment. -* **Identity Provider is down -** Account admins will continue to be able to log in with a password which would allow them to work with your Identity Provider to troubleshoot the problem. +* **Onboarding partners and contractors** — We highly recommend that you add partners and contractors to your Identity Provider. IdPs like Okta and Azure Active Directory (AAD) offer capabilities explicitly for temporary employees. We highly recommend that you reach out to your IT team to provision an SSO license for these situations. Using an IdP highly secure, reduces any breach risk, and significantly increases the security posture of your dbt Cloud environment. +* **Identity Provider is down** — Account admins will continue to be able to log in with a password which would allow them to work with your Identity Provider to troubleshoot the problem. +* **Offboarding admins** — When offboarding admins, revoke access to dbt Cloud by deleting the user from your environment; otherwise, they can continue to use username/password credentials to log in. ### Next steps for non-admin users currently logging in with passwords @@ -67,5 +68,5 @@ If you have any non-admin users logging into dbt Cloud with a password today: 1. Ensure that all users have a user account in your identity provider and are assigned dbt Cloud so they won’t lose access. 2. Alert all dbt Cloud users that they won’t be able to use a password for logging in anymore unless they are already an Admin with a password. 3. We **DO NOT** recommend promoting any users to Admins just to preserve password-based logins because you will reduce security of your dbt Cloud environment. -4. If an Admin leaves your company, manually delete their user to prevent non-SSO access via username and password. -** + + From 54b29418138dfae2e7c153a83a3b1e8b9d1ae26c Mon Sep 17 00:00:00 2001 From: Mike Alfare <13974384+mikealfare@users.noreply.github.com> Date: Wed, 6 Dec 2023 17:36:24 -0500 Subject: [PATCH 051/134] Update website/docs/reference/resource-configs/postgres-configs.md Co-authored-by: Doug Beatty <44704949+dbeatty10@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 f9bd4e11cbc..855c17d8883 100644 --- a/website/docs/reference/resource-configs/postgres-configs.md +++ b/website/docs/reference/resource-configs/postgres-configs.md @@ -127,7 +127,7 @@ with the following configuration parameters: indexes=[ { 'columns': ['', ...], - 'unique': }, + 'unique': , 'type': '{ HASH | B-TREE | GIST | SP-GIST | GIN | BRIN }', ] ) }} From 964e12563623525ccffc3a52ab6b2b2795f957f2 Mon Sep 17 00:00:00 2001 From: Mike Alfare <13974384+mikealfare@users.noreply.github.com> Date: Wed, 6 Dec 2023 17:36:39 -0500 Subject: [PATCH 052/134] Update website/docs/reference/resource-configs/postgres-configs.md Co-authored-by: Doug Beatty <44704949+dbeatty10@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 855c17d8883..109bd595bb9 100644 --- a/website/docs/reference/resource-configs/postgres-configs.md +++ b/website/docs/reference/resource-configs/postgres-configs.md @@ -129,7 +129,7 @@ with the following configuration parameters: 'columns': ['', ...], 'unique': , 'type': '{ HASH | B-TREE | GIST | SP-GIST | GIN | BRIN }', - ] + }] ) }} select * from {{ ref('my_base_table') }} From a6f69eb551ce902cef2a9191c3bef052e98e664d Mon Sep 17 00:00:00 2001 From: Mike Alfare <13974384+mikealfare@users.noreply.github.com> Date: Wed, 6 Dec 2023 17:47:36 -0500 Subject: [PATCH 053/134] Update website/docs/reference/resource-configs/snowflake-configs.md Co-authored-by: Doug Beatty <44704949+dbeatty10@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 39dd4430c4c..900860ea287 100644 --- a/website/docs/reference/resource-configs/snowflake-configs.md +++ b/website/docs/reference/resource-configs/snowflake-configs.md @@ -357,7 +357,7 @@ Dynamic tables are supported with the following configuration parameters: | Parameter | Type | Required | Default | Change Monitoring Support | Reference | |---------------------------|----------|----------|-----------|---------------------------|----------------------------------------------| -| `on_configuration_change` | STRING | NO | `'apply'` | N/A | | +| `on_configuration_change` | STRING | NO | `apply` | N/A | | | `target_lag` | STRING | YES | | ALTER | [Target lag](#target-lag) | | `snowflake_warehouse` | STRING | YES | | ALTER | [Warehouse](#configuring-virtual-warehouses) | From 9372ab347348b403c1f1a0f9ffdecf6f596d5062 Mon Sep 17 00:00:00 2001 From: Doug Beatty <44704949+dbeatty10@users.noreply.github.com> Date: Wed, 6 Dec 2023 18:08:28 -0700 Subject: [PATCH 054/134] Fix menu display for the Jinja `return` function --- website/docs/reference/dbt-jinja-functions/return.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/reference/dbt-jinja-functions/return.md b/website/docs/reference/dbt-jinja-functions/return.md index 43bbddfa2d1..d2069bc9254 100644 --- a/website/docs/reference/dbt-jinja-functions/return.md +++ b/website/docs/reference/dbt-jinja-functions/return.md @@ -1,6 +1,6 @@ --- title: "About return function" -sidebar_variable: "return" +sidebar_label: "return" id: "return" description: "Read this guide to understand the return Jinja function in dbt." --- From 0d4dd63ad767fcb480ca39f9ee8d2999e920a1d1 Mon Sep 17 00:00:00 2001 From: Mike Alfare Date: Wed, 6 Dec 2023 21:40:59 -0500 Subject: [PATCH 055/134] incorporate style standards --- .../resource-configs/postgres-configs.md | 86 +++++++++++++++---- 1 file changed, 70 insertions(+), 16 deletions(-) diff --git a/website/docs/reference/resource-configs/postgres-configs.md b/website/docs/reference/resource-configs/postgres-configs.md index 109bd595bb9..98ef0d56d27 100644 --- a/website/docs/reference/resource-configs/postgres-configs.md +++ b/website/docs/reference/resource-configs/postgres-configs.md @@ -111,32 +111,86 @@ models: The Postgres adapter supports [materialized views](https://www.postgresql.org/docs/current/rules-materializedviews.html) with the following configuration parameters: -| Parameter | Type | Required | Default | Change Monitoring Support | Reference | -|---------------------------|------------|----------|-----------|---------------------------|---------------------| -| `on_configuration_change` | STRING | NO | `'apply'` | N/A | | -| `indexes` | LIST[DICT] | NO | | ALTER | [Indexes](#indexes) | +| Parameter | Type | Required | Default | Change Monitoring Support | +|---------------------------|------------------|----------|---------|---------------------------| +| `on_configuration_change` | | no | `apply` | n/a | +| [`indexes`](#indexes) | [{}] | no | `none` | alter | + + + + -#### Sample model file: + - +```yaml +models: + [](/reference/resource-configs/resource-path): + [+](/reference/resource-configs/plus-prefix)[materialized](/reference/resource-configs/materialized): materialized_view + [+](/reference/resource-configs/plus-prefix)on_configuration_change: apply | continue | fail + [+](/reference/resource-configs/plus-prefix)[indexes](#indexes): + - columns: [] + unique: true | false + type: hash | btree +``` -```sql + + + + + + + + +```yaml +version: 2 + +models: + - name: [] + config: + [materialized](/reference/resource-configs/materialized): materialized_view + on_configuration_change: apply | continue | fail + [indexes](#indexes): + - columns: [] + unique: true | false + type: hash | btree +``` + + + + + + + + + +```jinja {{ config( - materialized='materialized_view', - on_configuration_change='{ apply | continue | fail }' - indexes=[ + [materialized](/reference/resource-configs/materialized)="materialized_view", + on_configuration_change="apply" | "continue" | "fail" + [indexes](#indexes)=[ { - 'columns': ['', ...], - 'unique': , - 'type': '{ HASH | B-TREE | GIST | SP-GIST | GIN | BRIN }', - }] + "columns": [""], + "unique": true | false, + "type": "hash" | "btree", + } + ] ) }} - -select * from {{ ref('my_base_table') }} ``` + + + + The `indexes` parameter corresponds to that of a table, as linked above. It's worth noting that, unlike with tables, dbt will monitor this parameter for changes and apply the changes without dropping the materialized view. This happens via a `DROP/CREATE` of the indexes, which could be thought of as a `ALTER` of the materialized view. From bd6c4fc146678f0aeae9a9e15f15b2591cdd4bf8 Mon Sep 17 00:00:00 2001 From: Mike Alfare Date: Wed, 6 Dec 2023 22:08:42 -0500 Subject: [PATCH 056/134] incorporate style standards --- website/docs/reference/resource-configs/postgres-configs.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/website/docs/reference/resource-configs/postgres-configs.md b/website/docs/reference/resource-configs/postgres-configs.md index 98ef0d56d27..d5960231c66 100644 --- a/website/docs/reference/resource-configs/postgres-configs.md +++ b/website/docs/reference/resource-configs/postgres-configs.md @@ -145,6 +145,7 @@ models: + @@ -167,6 +168,7 @@ models: + @@ -174,7 +176,7 @@ models: ```jinja {{ config( [materialized](/reference/resource-configs/materialized)="materialized_view", - on_configuration_change="apply" | "continue" | "fail" + on_configuration_change="apply" | "continue" | "fail", [indexes](#indexes)=[ { "columns": [""], From 5e904f13d54f8228f2c89848f8ca8a0440b5f026 Mon Sep 17 00:00:00 2001 From: Mike Alfare Date: Wed, 6 Dec 2023 22:34:56 -0500 Subject: [PATCH 057/134] remove tabs to test build --- .../resource-configs/postgres-configs.md | 77 ------------------- 1 file changed, 77 deletions(-) diff --git a/website/docs/reference/resource-configs/postgres-configs.md b/website/docs/reference/resource-configs/postgres-configs.md index d5960231c66..c4d60ba905d 100644 --- a/website/docs/reference/resource-configs/postgres-configs.md +++ b/website/docs/reference/resource-configs/postgres-configs.md @@ -116,83 +116,6 @@ with the following configuration parameters: | `on_configuration_change` | | no | `apply` | n/a | | [`indexes`](#indexes) | [{}] | no | `none` | alter | - - - - - - -```yaml -models: - [](/reference/resource-configs/resource-path): - [+](/reference/resource-configs/plus-prefix)[materialized](/reference/resource-configs/materialized): materialized_view - [+](/reference/resource-configs/plus-prefix)on_configuration_change: apply | continue | fail - [+](/reference/resource-configs/plus-prefix)[indexes](#indexes): - - columns: [] - unique: true | false - type: hash | btree -``` - - - - - - - - - - -```yaml -version: 2 - -models: - - name: [] - config: - [materialized](/reference/resource-configs/materialized): materialized_view - on_configuration_change: apply | continue | fail - [indexes](#indexes): - - columns: [] - unique: true | false - type: hash | btree -``` - - - - - - - - - - -```jinja -{{ config( - [materialized](/reference/resource-configs/materialized)="materialized_view", - on_configuration_change="apply" | "continue" | "fail", - [indexes](#indexes)=[ - { - "columns": [""], - "unique": true | false, - "type": "hash" | "btree", - } - ] -) }} -``` - - - - - - - The `indexes` parameter corresponds to that of a table, as linked above. It's worth noting that, unlike with tables, dbt will monitor this parameter for changes and apply the changes without dropping the materialized view. This happens via a `DROP/CREATE` of the indexes, which could be thought of as a `ALTER` of the materialized view. From 76df337ea6acb03da8fcd1ab313deb6ed0e4e4c3 Mon Sep 17 00:00:00 2001 From: Mike Alfare Date: Wed, 6 Dec 2023 22:43:16 -0500 Subject: [PATCH 058/134] remove quotes to test build --- website/docs/reference/resource-configs/postgres-configs.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/website/docs/reference/resource-configs/postgres-configs.md b/website/docs/reference/resource-configs/postgres-configs.md index c4d60ba905d..de084f9eb02 100644 --- a/website/docs/reference/resource-configs/postgres-configs.md +++ b/website/docs/reference/resource-configs/postgres-configs.md @@ -111,10 +111,10 @@ models: The Postgres adapter supports [materialized views](https://www.postgresql.org/docs/current/rules-materializedviews.html) with the following configuration parameters: -| Parameter | Type | Required | Default | Change Monitoring Support | -|---------------------------|------------------|----------|---------|---------------------------| +| Parameter | Type | Required | Default | Change Monitoring Support | +|-------------------------|------------------|----------|---------|---------------------------| | `on_configuration_change` | | no | `apply` | n/a | -| [`indexes`](#indexes) | [{}] | no | `none` | alter | +| [indexes](#indexes) | [{}] | no | `none` | alter | The `indexes` parameter corresponds to that of a table, as linked above. It's worth noting that, unlike with tables, dbt will monitor this parameter for changes and apply the changes without dropping the materialized view. From b744ea85e0b24fcbad5a73d4c2fc4d8deba1e206 Mon Sep 17 00:00:00 2001 From: Mike Alfare Date: Wed, 6 Dec 2023 22:53:13 -0500 Subject: [PATCH 059/134] test build --- .../reference/resource-configs/postgres-configs.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/website/docs/reference/resource-configs/postgres-configs.md b/website/docs/reference/resource-configs/postgres-configs.md index de084f9eb02..e230641c37a 100644 --- a/website/docs/reference/resource-configs/postgres-configs.md +++ b/website/docs/reference/resource-configs/postgres-configs.md @@ -111,10 +111,10 @@ models: The Postgres adapter supports [materialized views](https://www.postgresql.org/docs/current/rules-materializedviews.html) with the following configuration parameters: -| Parameter | Type | Required | Default | Change Monitoring Support | -|-------------------------|------------------|----------|---------|---------------------------| -| `on_configuration_change` | | no | `apply` | n/a | -| [indexes](#indexes) | [{}] | no | `none` | alter | +| Parameter | Type | Required | Default | Change Monitoring Support | +|---------------------------|--------------|----------|---------|---------------------------| +| `on_configuration_change` | | no | `apply` | n/a | +| [indexes](#indexes) | | no | `none` | alter | The `indexes` parameter corresponds to that of a table, as linked above. It's worth noting that, unlike with tables, dbt will monitor this parameter for changes and apply the changes without dropping the materialized view. @@ -123,7 +123,7 @@ This happens via a `DROP/CREATE` of the indexes, which could be thought of as a Find more information about materialized view parameters in the Postgres docs: - [CREATE MATERIALIZED VIEW](https://www.postgresql.org/docs/current/sql-creatematerializedview.html) - + ### Limitations From fb00255b8588c8df6a324f00780adc85858978b1 Mon Sep 17 00:00:00 2001 From: Mike Alfare Date: Wed, 6 Dec 2023 22:59:24 -0500 Subject: [PATCH 060/134] test build --- .../docs/reference/resource-configs/postgres-configs.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/website/docs/reference/resource-configs/postgres-configs.md b/website/docs/reference/resource-configs/postgres-configs.md index e230641c37a..d4e53efbc1d 100644 --- a/website/docs/reference/resource-configs/postgres-configs.md +++ b/website/docs/reference/resource-configs/postgres-configs.md @@ -111,10 +111,10 @@ models: The Postgres adapter supports [materialized views](https://www.postgresql.org/docs/current/rules-materializedviews.html) with the following configuration parameters: -| Parameter | Type | Required | Default | Change Monitoring Support | -|---------------------------|--------------|----------|---------|---------------------------| -| `on_configuration_change` | | no | `apply` | n/a | -| [indexes](#indexes) | | no | `none` | alter | +| Parameter | Type | Required | Default | Change Monitoring Support | +|---------------------------|------------|----------|---------|---------------------------| +| `on_configuration_change` | string | no | `apply` | n/a | +| [indexes](#indexes) | dictionary | no | `none` | alter | The `indexes` parameter corresponds to that of a table, as linked above. It's worth noting that, unlike with tables, dbt will monitor this parameter for changes and apply the changes without dropping the materialized view. From d19ea838bfd9d1538e7c1e264886e0620feebada Mon Sep 17 00:00:00 2001 From: Mike Alfare Date: Wed, 6 Dec 2023 23:08:08 -0500 Subject: [PATCH 061/134] add tabs back in --- .../resource-configs/postgres-configs.md | 78 +++++++++++++++++++ 1 file changed, 78 insertions(+) diff --git a/website/docs/reference/resource-configs/postgres-configs.md b/website/docs/reference/resource-configs/postgres-configs.md index d4e53efbc1d..d47aaad7559 100644 --- a/website/docs/reference/resource-configs/postgres-configs.md +++ b/website/docs/reference/resource-configs/postgres-configs.md @@ -116,6 +116,84 @@ with the following configuration parameters: | `on_configuration_change` | string | no | `apply` | n/a | | [indexes](#indexes) | dictionary | no | `none` | alter | + + + + + + + +```yaml +models: + [](/reference/resource-configs/resource-path): + [+](/reference/resource-configs/plus-prefix)[materialized](/reference/resource-configs/materialized): materialized_view + [+](/reference/resource-configs/plus-prefix)on_configuration_change: apply | continue | fail + [+](/reference/resource-configs/plus-prefix)[indexes](#indexes): + - columns: [] + unique: true | false + type: hash | btree +``` + + + + + + + + + + +```yaml +version: 2 + +models: + - name: [] + config: + [materialized](/reference/resource-configs/materialized): materialized_view + on_configuration_change: apply | continue | fail + [indexes](#indexes): + - columns: [] + unique: true | false + type: hash | btree +``` + + + + + + + + + + +```jinja +{{ config( + [materialized](/reference/resource-configs/materialized)="materialized_view", + on_configuration_change="apply" | "continue" | "fail", + [indexes](#indexes)=[ + { + "columns": [""], + "unique": true | false, + "type": "hash" | "btree", + } + ] +) }} +``` + + + + + + + The `indexes` parameter corresponds to that of a table, as linked above. It's worth noting that, unlike with tables, dbt will monitor this parameter for changes and apply the changes without dropping the materialized view. This happens via a `DROP/CREATE` of the indexes, which could be thought of as a `ALTER` of the materialized view. From 139046b04d6d55fae6336ede64dbdf8afa7a7556 Mon Sep 17 00:00:00 2001 From: Mike Alfare Date: Wed, 6 Dec 2023 23:33:23 -0500 Subject: [PATCH 062/134] add formatting back --- .../docs/reference/resource-configs/postgres-configs.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/website/docs/reference/resource-configs/postgres-configs.md b/website/docs/reference/resource-configs/postgres-configs.md index d47aaad7559..c904802d598 100644 --- a/website/docs/reference/resource-configs/postgres-configs.md +++ b/website/docs/reference/resource-configs/postgres-configs.md @@ -111,10 +111,10 @@ models: The Postgres adapter supports [materialized views](https://www.postgresql.org/docs/current/rules-materializedviews.html) with the following configuration parameters: -| Parameter | Type | Required | Default | Change Monitoring Support | -|---------------------------|------------|----------|---------|---------------------------| -| `on_configuration_change` | string | no | `apply` | n/a | -| [indexes](#indexes) | dictionary | no | `none` | alter | +| Parameter | Type | Required | Default | Change Monitoring Support | +|---------------------------|--------------------|----------|---------|---------------------------| +| `on_configuration_change` | `` | no | `apply` | n/a | +| [`indexes`](#indexes) | `[{}]` | no | `none` | alter | Date: Thu, 7 Dec 2023 10:43:19 -0500 Subject: [PATCH 063/134] add faq --- website/snippets/_sl-faqs.md | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/website/snippets/_sl-faqs.md b/website/snippets/_sl-faqs.md index 5bc556ae00a..def8f3837f6 100644 --- a/website/snippets/_sl-faqs.md +++ b/website/snippets/_sl-faqs.md @@ -10,6 +10,11 @@ As we refine MetricFlow’s API layers, some users may find it easier to set up their own custom service layers for managing query requests. This is not currently recommended, as the API boundaries around MetricFlow are not sufficiently well-defined for broad-based community use +- **Why is my query limited to 100 rows in the dbt Cloud CLI?** +- The default `limit` for query issues from the dbt Cloud CLI is 100 rows. We set this default to prevent returning unnecessarily large data sets as the dbt Cloud CLI is typically used to query the dbt Semantic Layer during the development process, not for production reporting or to access large data sets. For most workflows, you only need to return a subset of the data. + + However, you can change this limit if needed by setting the `--limit` option in your query. For example, to return 1000 rows, you can run `dbt sl list metrics --limit 1000`. + - **Can I reference MetricFlow queries inside dbt models?** - dbt relies on Jinja macros to compile SQL, while MetricFlow is Python-based and does direct SQL rendering targeting at a specific dialect. MetricFlow does not support pass-through rendering of Jinja macros, so we can’t easily reference MetricFlow queries inside of dbt models. From cde1079ba598000006206f609ee3bd7c25c3b7d5 Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Thu, 7 Dec 2023 10:43:58 -0500 Subject: [PATCH 064/134] add faq --- website/docs/docs/build/metricflow-commands.md | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/website/docs/docs/build/metricflow-commands.md b/website/docs/docs/build/metricflow-commands.md index 7e535e4ea62..fb7146fc09e 100644 --- a/website/docs/docs/build/metricflow-commands.md +++ b/website/docs/docs/build/metricflow-commands.md @@ -556,3 +556,8 @@ Keep in mind that modifying your shell configuration files can have an impact on +

+Why is my query limited to 100 rows in the dbt Cloud CLI? +The default limit for query issues from the dbt Cloud CLI is 100 rows. We set this default to prevent returning unnecessarily large data sets as the dbt Cloud CLI is typically used to query the dbt Semantic Layer during the development process, not for production reporting or to access large data sets. For most workflows, you only need to return a subset of the data.

+However, you can change this limit if needed by setting the --limit option in your query. For example, to return 1000 rows, you can run dbt sl list metrics --limit 1000. +
From 5ef2704ff20d48d7abba48f04901ca74a4faeeb8 Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Thu, 7 Dec 2023 10:49:48 -0500 Subject: [PATCH 065/134] fix spacing --- website/docs/docs/build/metricflow-commands.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/build/metricflow-commands.md b/website/docs/docs/build/metricflow-commands.md index fb7146fc09e..e3bb93da964 100644 --- a/website/docs/docs/build/metricflow-commands.md +++ b/website/docs/docs/build/metricflow-commands.md @@ -558,6 +558,6 @@ Keep in mind that modifying your shell configuration files can have an impact on
Why is my query limited to 100 rows in the dbt Cloud CLI? -The default limit for query issues from the dbt Cloud CLI is 100 rows. We set this default to prevent returning unnecessarily large data sets as the dbt Cloud CLI is typically used to query the dbt Semantic Layer during the development process, not for production reporting or to access large data sets. For most workflows, you only need to return a subset of the data.

+The default limit for query issues from the dbt Cloud CLI is 100 rows. We set this default to prevent returning unnecessarily large data sets as the dbt Cloud CLI is typically used to query the dbt Semantic Layer during the development process, not for production reporting or to access large data sets. For most workflows, you only need to return a subset of the data.

However, you can change this limit if needed by setting the --limit option in your query. For example, to return 1000 rows, you can run dbt sl list metrics --limit 1000.
From f027ab1403140705ab585c79c81ab7a4c94ca41c Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 7 Dec 2023 11:50:21 -0500 Subject: [PATCH 066/134] add other artifacts link this pr adds a 'other artifacts' link in the 'about artifacts' [page](https://docs.getdbt.com/reference/artifacts/dbt-artifacts) Resolves #4370 --- website/docs/reference/artifacts/dbt-artifacts.md | 3 +++ 1 file changed, 3 insertions(+) diff --git a/website/docs/reference/artifacts/dbt-artifacts.md b/website/docs/reference/artifacts/dbt-artifacts.md index 859fde7c908..31525777500 100644 --- a/website/docs/reference/artifacts/dbt-artifacts.md +++ b/website/docs/reference/artifacts/dbt-artifacts.md @@ -48,3 +48,6 @@ In the manifest, the `metadata` may also include: #### Notes: - The structure of dbt artifacts is canonized by [JSON schemas](https://json-schema.org/), which are hosted at **schemas.getdbt.com**. - Artifact versions may change in any minor version of dbt (`v1.x.0`). Each artifact is versioned independently. + +## Related docs +- [Other artifacts](/reference/artifacts/other-artifacts) files such as `index.html` or `graph_summary.json`. From 3950f843ce8ef07788b160033c717a1b6fb51ec7 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Thu, 7 Dec 2023 11:56:47 -0500 Subject: [PATCH 067/134] Update other-artifacts.md typo --- website/docs/reference/artifacts/other-artifacts.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/reference/artifacts/other-artifacts.md b/website/docs/reference/artifacts/other-artifacts.md index 205bdfc1a14..60050a6be66 100644 --- a/website/docs/reference/artifacts/other-artifacts.md +++ b/website/docs/reference/artifacts/other-artifacts.md @@ -21,7 +21,7 @@ This file is used to store a compressed representation of files dbt has parsed. **Produced by:** commands supporting [node selection](/reference/node-selection/syntax) -Stores the networkx representation of the dbt resource DAG. +Stores the network representation of the dbt resource DAG. ### graph_summary.json From f50eb361a0066c9a264361d3bbce909ac0240eb2 Mon Sep 17 00:00:00 2001 From: Mike Alfare Date: Thu, 7 Dec 2023 12:20:56 -0500 Subject: [PATCH 068/134] update to use appropriate style guidelines --- .../resource-configs/bigquery-configs.md | 165 +++++++++++++----- 1 file changed, 126 insertions(+), 39 deletions(-) diff --git a/website/docs/reference/resource-configs/bigquery-configs.md b/website/docs/reference/resource-configs/bigquery-configs.md index 97acb73ce33..f9b447fdc0b 100644 --- a/website/docs/reference/resource-configs/bigquery-configs.md +++ b/website/docs/reference/resource-configs/bigquery-configs.md @@ -725,60 +725,147 @@ The `grant_access_to` config is not thread-safe when multiple views need to be a The BigQuery adapter supports [materialized views](https://cloud.google.com/bigquery/docs/materialized-views-intro) with the following configuration parameters: -| Parameter | Type | Required | Default | Change Monitoring Support | Reference | -|------------------------------|----------------------|----------|-----------|---------------------------|--------------------------------------------------| -| `on_configuration_change` | STRING | NO | `'apply'` | N/A | | -| `cluster_by` | LIST[STRING] | NO | | DROP/CREATE | [Clustering](#clustering-clause) | -| `partition_by` | DICT | NO | | DROP/CREATE | [Partitioning](#partition-clause) | -| `enable_refresh` | BOOLEAN | NO | `True` | ALTER | [Auto-refresh](#auto-refresh) | -| `refresh_interval_minutes` | FLOAT | NO | `30` | ALTER | [Auto-refresh](#auto-refresh) | -| `max_staleness` (in Preview) | INTERVAL | NO | | ALTER | [Auto-refresh](#auto-refresh) | -| `description` | STRING | NO | | ALTER | | -| `labels` | DICT[STRING, STRING] | NO | | ALTER | [Labels](#specifying-labels) | -| `hours_to_expiration` | INTEGER | NO | | ALTER | [Table expiration](controlling-table-expiration) | -| `kms_key_name` | STRING | NO | | ALTER | [KMS encryption](#using-kms-encryption) | - -#### Sample model file: - - +| Parameter | Type | Required | Default | Change Monitoring Support | +|--------------------------------------------------------|------------------------|----------|---------|---------------------------| +| `on_configuration_change` | `` | no | `apply` | n/a | +| [`cluster_by`](#clustering-clause) | `[]` | no | `none` | drop/create | +| [`partition_by`](#partition-clause) | `{}` | no | `none` | drop/create | +| [`enable_refresh`](#auto-refresh) | `` | no | `true` | alter | +| [`refresh_interval_minutes`](#auto-refresh) | `` | no | `30` | alter | +| [`max_staleness`](#auto-refresh) (in Preview) | `` | no | `none` | alter | +| `description` | `` | no | `none` | alter | +| [`labels`](#specifying-labels) | `{: }` | no | `none` | alter | +| [`hours_to_expiration`](#controlling-table-expiration) | `` | no | `none` | alter | +| [`kms_key_name`](#using-kms-encryption) | `` | no | `none` | alter | -```sql + + + + + + +directly to the materialized view in place. + +```yaml +models: + [](/reference/resource-configs/resource-path): + [+](/reference/resource-configs/plus-prefix)[materialized](/reference/resource-configs/materialized): materialized_view + [+](/reference/resource-configs/plus-prefix)on_configuration_change: apply | continue | fail + [+](/reference/resource-configs/plus-prefix)[cluster_by](#clustering-clause): | [] + [+](/reference/resource-configs/plus-prefix)[partition_by](#partition-clause): + - field: + - data_type: timestamp | date | datetime | int64 + # only if `data_type` is not 'int64' + - granularity: hour | day | month | year + # only if `data_type` is 'int64' + - range: + - start: + - end: + - interval: + [+](/reference/resource-configs/plus-prefix)[enable_refresh](#auto-refresh): true | false + [+](/reference/resource-configs/plus-prefix)[refresh_interval_minutes](#auto-refresh): + [+](/reference/resource-configs/plus-prefix)[max_staleness](#auto-refresh): + [+](/reference/resource-configs/plus-prefix)description: + [+](/reference/resource-configs/plus-prefix)[labels](#specifying-labels): {: } + [+](/reference/resource-configs/plus-prefix)[hours_to_expiration](#acontrolling-table-expiration): + [+](/reference/resource-configs/plus-prefix)[kms_key_name](##using-kms-encryption): +``` + + + + + + + + + + +```yaml +version: 2 + +models: + - name: [] + config: + [materialized](/reference/resource-configs/materialized): materialized_view + on_configuration_change: apply | continue | fail + [cluster_by](#clustering-clause): | [] + [partition_by](#partition-clause): + - field: + - data_type: timestamp | date | datetime | int64 + # only if `data_type` is not 'int64' + - granularity: hour | day | month | year + # only if `data_type` is 'int64' + - range: + - start: + - end: + - interval: + [enable_refresh](#auto-refresh): true | false + [refresh_interval_minutes](#auto-refresh): + [max_staleness](#auto-refresh): + description: + [labels](#specifying-labels): {: } + [hours_to_expiration](#acontrolling-table-expiration): + [kms_key_name](##using-kms-encryption): +``` + + + + + + + + + + +```jinja {{ config( materialized='materialized_view', - on_configuration_change='{ apply | continue | fail }' - cluster_by=['', ...], + on_configuration_change="apply" | "continue" | "fail", + cluster_by="" | [""], partition_by={ - 'field': '', - 'data_type': '', + "field": "", + "data_type": "timestamp" | "date" | "datetime" | "int64", # only if `data_type` is not 'int64' - 'granularity': '' + "granularity": "hour" | "day" | "month" | "year, # only if `data_type` is 'int64' - 'range': { - 'start': , - 'end': , - 'interval': , + "range": { + "start": , + "end": , + "interval": , } }, # auto-refresh options - enable_refresh=, + enable_refresh= true | false, refresh_interval_minutes=, - max_staleness='', + max_staleness="", # additional options - description='', - labels={'': '', ...}, - hours_to_expiration=, - kms_key_name='', + description="", + labels={ + "": "", + }, + hours_to_expiration=, + kms_key_name="", ) }} - -select * from {{ ref('my_base_table') }} ``` + + + + Many of these parameters correspond to their table counterparts and have been linked above. The set of parameters which are unique to materialized views covers auto-refresh functionality, which is covered [below](#auto-refresh). @@ -788,11 +875,11 @@ Find more information about these parameters in the BigQuery docs: ### Auto-refresh -| Parameter | Type | Required | Default | Change Monitoring Support | -|-------------------------------|----------|----------|---------|---------------------------| -| `enable_refresh` | BOOLEAN | NO | `True` | ALTER | -| `refresh_interval_minutes` | FLOAT | NO | `30` | ALTER | -| `max_staleness` (in Preview) | INTERVAL | NO | | ALTER | +| Parameter | Type | Required | Default | Change Monitoring Support | +|------------------------------|--------------|----------|---------|---------------------------| +| `enable_refresh` | `` | no | `true` | alter | +| `refresh_interval_minutes` | `` | no | `30` | alter | +| `max_staleness` (in Preview) | `` | no | `none` | alter | BigQuery supports [automatic refresh](https://cloud.google.com/bigquery/docs/materialized-views-manage#automatic_refresh) configuration for materialized views. By default, a materialized view will automatically refresh within 5 minutes of changes in the base table, but no more frequently than every 30 minutes. From 503253ef6a6b3ba5f6eb0586e6053bc26dcade6c Mon Sep 17 00:00:00 2001 From: Mike Alfare Date: Thu, 7 Dec 2023 12:33:30 -0500 Subject: [PATCH 069/134] update to use appropriate style guidelines --- .../resource-configs/snowflake-configs.md | 81 ++++++++++++++----- 1 file changed, 59 insertions(+), 22 deletions(-) diff --git a/website/docs/reference/resource-configs/snowflake-configs.md b/website/docs/reference/resource-configs/snowflake-configs.md index 900860ea287..c6ef5c4b339 100644 --- a/website/docs/reference/resource-configs/snowflake-configs.md +++ b/website/docs/reference/resource-configs/snowflake-configs.md @@ -355,44 +355,81 @@ of [materialized views](/docs/build/materializations#Materialized-View). In particular, dynamic tables have access to the `on_configuration_change` setting. Dynamic tables are supported with the following configuration parameters: -| Parameter | Type | Required | Default | Change Monitoring Support | Reference | -|---------------------------|----------|----------|-----------|---------------------------|----------------------------------------------| -| `on_configuration_change` | STRING | NO | `apply` | N/A | | -| `target_lag` | STRING | YES | | ALTER | [Target lag](#target-lag) | -| `snowflake_warehouse` | STRING | YES | | ALTER | [Warehouse](#configuring-virtual-warehouses) | +| Parameter | Type | Required | Default | Change Monitoring Support | +|----------------------------------------------------------|------------|----------|---------|---------------------------| +| `on_configuration_change` | `` | no | `apply` | n/a | +| [`target_lag`](#target-lag) | `` | yes | | alter | +| [`snowflake_warehouse`](#configuring-virtual-warehouses) | `` | yes | | alter | -#### Sample model file: + - -```sql -{{ config( - materialized='dynamic_table', - on_configuration_change='{ apply | continue | fail }', - target_lag='< { seconds | minutes | hours | days } | DOWNSTREAM>', - snowflake_warehouse='', -) }} + + + -select * from {{ ref('my_base_table') }} +```yaml +models: + [](/reference/resource-configs/resource-path): + [+](/reference/resource-configs/plus-prefix)[materialized](/reference/resource-configs/materialized): dynamic_table + [+](/reference/resource-configs/plus-prefix)on_configuration_change: apply | continue | fail + [+](/reference/resource-configs/plus-prefix)[target_lag](#target-lag): downstream | + [+](/reference/resource-configs/plus-prefix)[snowflake_warehouse](#configuring-virtual-warehouses): ``` -#### Sample project file: + - + + + + ```yaml +version: 2 + models: - path: - materialized: dynamic_table - on_configuration_change: '' - snowflake_warehouse: '' - target_lag: '< { seconds | minutes | hours | days } | DOWNSTREAM>' + - name: [] + config: + [materialized](/reference/resource-configs/materialized): dynamic_table + on_configuration_change: apply | continue | fail + [target_lag](#target-lag): downstream | + [snowflake_warehouse](#configuring-virtual-warehouses): ``` + + + + + + + +```jinja +{{ config( + materialized="dynamic_table", + on_configuration_change="apply" | "continue" | "fail", + target_lag="downstream" | " seconds | minutes | hours | days", + snowflake_warehouse="", +) }} +``` + + + + + + + Find more information about these parameters in the Snowflake docs: - [CREATE DYNAMIC TABLE](https://docs.snowflake.com/en/sql-reference/sql/create-dynamic-table) From ab2584c86a86052c84a1da4cda57ce8f391a0331 Mon Sep 17 00:00:00 2001 From: Mike Alfare Date: Thu, 7 Dec 2023 13:11:04 -0500 Subject: [PATCH 070/134] update to use appropriate style guidelines --- .../resource-configs/redshift-configs.md | 112 +++++++++++++----- 1 file changed, 85 insertions(+), 27 deletions(-) diff --git a/website/docs/reference/resource-configs/redshift-configs.md b/website/docs/reference/resource-configs/redshift-configs.md index 0e079453ec6..44b66b30005 100644 --- a/website/docs/reference/resource-configs/redshift-configs.md +++ b/website/docs/reference/resource-configs/redshift-configs.md @@ -114,36 +114,94 @@ models: The Redshift adapter supports [materialized views](https://docs.aws.amazon.com/redshift/latest/dg/materialized-view-overview.html) with the following configuration parameters: -| Parameter | Type | Required | Default | Change Monitoring Support | Reference | -|---------------------------|--------------|----------|------------------------|---------------------------|-------------------------------------------------| -| `on_configuration_change` | STRING | NO | `'apply'` | N/A | | -| `dist` | STRING | NO | `'EVEN'` | DROP/CREATE | [Sortkey / Distkey](#using-sortkey-and-distkey) | -| `sort` | LIST[STRING] | NO | | DROP/CREATE | [Sortkey / Distkey](#using-sortkey-and-distkey) | -| `sort_type` | STRING | NO | `'AUTO'` if no `sort` | DROP/CREATE | [Sortkey / Distkey](#using-sortkey-and-distkey) | -| | | | `'COMPOUND'` if `sort` | | | -| `auto_refresh` | BOOLEAN | NO | `False` | ALTER | [Auto refresh](#auto-refresh) | -| `backup` | BOOLEAN | HO | `True` | N/A | [Backup](#backup) | +| Parameter | Type | Required | Default | Change Monitoring Support | +|-------------------------------------------|--------------|----------|----------------------|---------------------------| +| `on_configuration_change` | `` | no | `apply` | n/a | +| [`dist`](#using-sortkey-and-distkey) | `` | no | `even` | drop/create | +| [`sort`](#using-sortkey-and-distkey) | `[]` | no | `none` | drop/create | +| [`sort_type`](#using-sortkey-and-distkey) | `` | no | `auto` if no `sort` | drop/create | +| | | | `compound` if `sort` | | +| [`auto_refresh`](#auto-refresh) | `` | no | `false` | alter | +| [`backup`](#backup) | `` | no | `true` | n/a | + + + + + -#### Sample model file: + - +```yaml +models: + [](/reference/resource-configs/resource-path): + [+](/reference/resource-configs/plus-prefix)[materialized](/reference/resource-configs/materialized): materialized_view + [+](/reference/resource-configs/plus-prefix)on_configuration_change: apply | continue | fail + [+](/reference/resource-configs/plus-prefix)[dist](#using-sortkey-and-distkey): all | auto | even | + [+](/reference/resource-configs/plus-prefix)[sort](#using-sortkey-and-distkey): | [] + [+](/reference/resource-configs/plus-prefix)[sort_type](#using-sortkey-and-distkey): auto | compound | interleaved + [+](/reference/resource-configs/plus-prefix)[auto_refresh](#auto-refresh): true | false + [+](/reference/resource-configs/plus-prefix)[backup](#backup): true | false +``` -```sql + + + + + + + + + +```yaml +version: 2 + +models: + - name: [] + config: + [materialized](/reference/resource-configs/materialized): materialized_view + on_configuration_change: apply | continue | fail + [dist](#using-sortkey-and-distkey): all | auto | even | + [sort](#using-sortkey-and-distkey): | [] + [sort_type](#using-sortkey-and-distkey): auto | compound | interleaved + [auto_refresh](#auto-refresh): true | false + [backup](#backup): true | false +``` + + + + + + + + + + +```jinja {{ config( - materialized='materialized_view', - on_configuration_change='{ apply | continue | fail }' - dist='{ ALL | AUTO | EVEN | }', - sort=['', ...], - sort_type='{ AUTO | COMPOUND | INTERLEAVED }' - auto_refresh=, - backup=, + materialized="materialized_view", + on_configuration_change="apply" | "continue" | "fail", + dist="all" | "auto" | "even" | "", + sort=[""], + sort_type="auto" | "compound" | "interleaved", + auto_refresh=true | false, + backup=true | false, ) }} - -select * from {{ ref('my_base_table') }} ``` + + + + Many of these parameters correspond to their table counterparts and have been linked above. The parameters unique to materialized views are the auto-refresh and backup functionality, which are covered below. @@ -151,9 +209,9 @@ Find more information about the [CREATE MATERIALIZED VIEW](https://docs.aws.amaz #### Auto-refresh -| Parameter | Type | Required | Default | Change Monitoring Support | -|----------------|---------|----------|---------|---------------------------| -| `auto_refresh` | BOOLEAN | NO | `False` | ALTER | +| Parameter | Type | Required | Default | Change Monitoring Support | +|----------------|-------------|----------|---------|---------------------------| +| `auto_refresh` | `` | no | `false` | alter | Redshift supports [automatic refresh](https://docs.aws.amazon.com/redshift/latest/dg/materialized-view-refresh.html#materialized-view-auto-refresh) configuration for materialized views. By default, a materialized view does not automatically refresh. @@ -163,9 +221,9 @@ Find more information about the [parameters](https://docs.aws.amazon.com/redshif #### Backup -| Parameter | Type | Required | Default | Change Monitoring Support | -|-----------|---------|----------|---------|---------------------------| -| `backup` | BOOLEAN | NO | `True` | N/A | +| Parameter | Type | Required | Default | Change Monitoring Support | +|-----------|-------------|----------|---------|---------------------------| +| `backup` | `` | no | `true` | n/a | Redshift supports [backup](https://docs.aws.amazon.com/redshift/latest/mgmt/working-with-snapshots.html) configuration of clusters at the object level. This parameter identifies if the materialized view should be backed up as part of the cluster snapshot. From c5858e6038496449c123bb1243a5209c3ca6e821 Mon Sep 17 00:00:00 2001 From: Tania <92768464+Tonayya@users.noreply.github.com> Date: Fri, 8 Dec 2023 13:56:43 +1100 Subject: [PATCH 071/134] Update deploy-jobs.md Added some examples where we are using the L expression to specify the last day of the month. Relevant conversation can be found in Slack [here](https://dbt-labs.slack.com/archives/C04KKUHLT32/p1702002328874979). --- website/docs/docs/deploy/deploy-jobs.md | 17 ++++++++++++----- 1 file changed, 12 insertions(+), 5 deletions(-) diff --git a/website/docs/docs/deploy/deploy-jobs.md b/website/docs/docs/deploy/deploy-jobs.md index e43020bf66e..cb62de00e7e 100644 --- a/website/docs/docs/deploy/deploy-jobs.md +++ b/website/docs/docs/deploy/deploy-jobs.md @@ -87,12 +87,19 @@ Use tools such as [crontab.guru](https://crontab.guru/) to generate the correct Refer to the following example snippets: -- `0 * * * *`: Every hour, at minute 0 -- `*/5 * * * *`: Every 5 minutes -- `5 4 * * *`: At exactly 4:05 AM UTC -- `30 */4 * * *`: At minute 30 past every 4th hour (e.g. 4:30AM, 8:30AM, 12:30PM, etc., all UTC) -- `0 0 */2 * *`: At midnight UTC every other day +- `0 * * * *`: Every hour, at minute 0. +- `*/5 * * * *`: Every 5 minutes. +- `5 4 * * *`: At exactly 4:05 AM UTC. +- `30 */4 * * *`: At minute 30 past every 4th hour (e.g. 4:30AM, 8:30AM, 12:30PM, etc., all UTC). +- `0 0 */2 * *`: At midnight UTC every other day. - `0 0 * * 1`: At midnight UTC every Monday. +- `0 0 L * *`: At 12:00 AM, on the last day of the month. +- `0 0 L 1,2,3,4,5,6,8,9,10,11,12 *`: At 12:00 AM, on the last day of the month, only in January, February, March, April, May, June, August, September, October, November, and December. +- `0 0 L 7 *`: At 12:00 AM, on the last day of the month, only in July. +- `0 0 L * FRI,SAT`: At 12:00 AM, on the last day of the month, and on Friday and Saturday. +- `0 12 L * *`: At 12:00 PM, on the last day of the month. +- `0 7 L * 5`: At 07:00 AM, on the last day of the month, and on Friday. +- `30 14 L * *`: At 02:30 PM, on the last day of the month. ## Related docs From b0b94c64f9ee1978ac2f0a6bfe21bb1a695b9d05 Mon Sep 17 00:00:00 2001 From: Mike Alfare Date: Thu, 7 Dec 2023 23:18:29 -0500 Subject: [PATCH 072/134] combine sort type option into the same row --- .../resource-configs/redshift-configs.md | 17 ++++++++--------- 1 file changed, 8 insertions(+), 9 deletions(-) diff --git a/website/docs/reference/resource-configs/redshift-configs.md b/website/docs/reference/resource-configs/redshift-configs.md index 44b66b30005..c7fc0671c0b 100644 --- a/website/docs/reference/resource-configs/redshift-configs.md +++ b/website/docs/reference/resource-configs/redshift-configs.md @@ -114,15 +114,14 @@ models: The Redshift adapter supports [materialized views](https://docs.aws.amazon.com/redshift/latest/dg/materialized-view-overview.html) with the following configuration parameters: -| Parameter | Type | Required | Default | Change Monitoring Support | -|-------------------------------------------|--------------|----------|----------------------|---------------------------| -| `on_configuration_change` | `` | no | `apply` | n/a | -| [`dist`](#using-sortkey-and-distkey) | `` | no | `even` | drop/create | -| [`sort`](#using-sortkey-and-distkey) | `[]` | no | `none` | drop/create | -| [`sort_type`](#using-sortkey-and-distkey) | `` | no | `auto` if no `sort` | drop/create | -| | | | `compound` if `sort` | | -| [`auto_refresh`](#auto-refresh) | `` | no | `false` | alter | -| [`backup`](#backup) | `` | no | `true` | n/a | +| Parameter | Type | Required | Default | Change Monitoring Support | +|-------------------------------------------|--------------|----------|------------------------------------------------|---------------------------| +| `on_configuration_change` | `` | no | `apply` | n/a | +| [`dist`](#using-sortkey-and-distkey) | `` | no | `even` | drop/create | +| [`sort`](#using-sortkey-and-distkey) | `[]` | no | `none` | drop/create | +| [`sort_type`](#using-sortkey-and-distkey) | `` | no | `auto` if no `sort`
`compound` if `sort` | drop/create | +| [`auto_refresh`](#auto-refresh) | `` | no | `false` | alter | +| [`backup`](#backup) | `` | no | `true` | n/a | Date: Fri, 8 Dec 2023 11:32:25 +0000 Subject: [PATCH 073/134] Update materializations-guide-4-incremental-models.md - Add missing "is" - Fix typo --- .../materializations-guide-4-incremental-models.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/website/docs/best-practices/materializations/materializations-guide-4-incremental-models.md b/website/docs/best-practices/materializations/materializations-guide-4-incremental-models.md index 71b24ef58f2..a195812ff1c 100644 --- a/website/docs/best-practices/materializations/materializations-guide-4-incremental-models.md +++ b/website/docs/best-practices/materializations/materializations-guide-4-incremental-models.md @@ -7,7 +7,7 @@ displayText: Materializations best practices hoverSnippet: Read this guide to understand the incremental models you can create in dbt. --- -So far we’ve looked at tables and views, which map to the traditional objects in the data warehouse. As mentioned earlier, incremental models are a little different. This where we start to deviate from this pattern with more powerful and complex materializations. +So far we’ve looked at tables and views, which map to the traditional objects in the data warehouse. As mentioned earlier, incremental models are a little different. This is where we start to deviate from this pattern with more powerful and complex materializations. - 📚 **Incremental models generate tables.** They physically persist the data itself to the warehouse, just piece by piece. What’s different is **how we build that table**. - 💅 **Only apply our transformations to rows of data with new or updated information**, this maximizes efficiency. @@ -53,7 +53,7 @@ where updated_at > (select max(updated_at) from {{ this }}) ``` -Let’s break down that `where` clause a bit, because this where the action is with incremental models. Stepping through the code **_right-to-left_** we: +Let’s break down that `where` clause a bit, because this is where the action is with incremental models. Stepping through the code **_right-to-left_** we: 1. Get our **cutoff.** 1. Select the `max(updated_at)` timestamp — the **most recent record** @@ -138,7 +138,7 @@ where {% endif %} ``` -Fantastic! We’ve got a working incremental model. On our first run, when there is no corresponding table in the warehouse, `is_incremental` will evaluate to false and we’ll capture the entire table. On subsequent runs is it will evaluate to true and we’ll apply our filter logic, capturing only the newer data. +Fantastic! We’ve got a working incremental model. On our first run, when there is no corresponding table in the warehouse, `is_incremental` will evaluate to false and we’ll capture the entire table. On subsequent runs it will evaluate to true and we’ll apply our filter logic, capturing only the newer data. ### Late arriving facts From c38cde999d6f7d037326a33fb6e3ae0ce7883331 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Fri, 8 Dec 2023 07:14:15 -0500 Subject: [PATCH 074/134] 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 cb62de00e7e..d7fe0b361d2 100644 --- a/website/docs/docs/deploy/deploy-jobs.md +++ b/website/docs/docs/deploy/deploy-jobs.md @@ -90,7 +90,7 @@ Refer to the following example snippets: - `0 * * * *`: Every hour, at minute 0. - `*/5 * * * *`: Every 5 minutes. - `5 4 * * *`: At exactly 4:05 AM UTC. -- `30 */4 * * *`: At minute 30 past every 4th hour (e.g. 4:30AM, 8:30AM, 12:30PM, etc., all UTC). +- `30 */4 * * *`: At minute 30 past every 4th hour (such as 4:30 AM, 8:30 AM, 12:30 PM, and so on, all UTC). - `0 0 */2 * *`: At midnight UTC every other day. - `0 0 * * 1`: At midnight UTC every Monday. - `0 0 L * *`: At 12:00 AM, on the last day of the month. From 69227e0d4f178e4b6472d6fbdef7bd469366d49e Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Fri, 8 Dec 2023 07:14:42 -0500 Subject: [PATCH 075/134] 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 d7fe0b361d2..09b5491b1db 100644 --- a/website/docs/docs/deploy/deploy-jobs.md +++ b/website/docs/docs/deploy/deploy-jobs.md @@ -93,7 +93,7 @@ Refer to the following example snippets: - `30 */4 * * *`: At minute 30 past every 4th hour (such as 4:30 AM, 8:30 AM, 12:30 PM, and so on, all UTC). - `0 0 */2 * *`: At midnight UTC every other day. - `0 0 * * 1`: At midnight UTC every Monday. -- `0 0 L * *`: At 12:00 AM, on the last day of the month. +- `0 0 L * *`: At 12:00 AM (midnight), on the last day of the month. - `0 0 L 1,2,3,4,5,6,8,9,10,11,12 *`: At 12:00 AM, on the last day of the month, only in January, February, March, April, May, June, August, September, October, November, and December. - `0 0 L 7 *`: At 12:00 AM, on the last day of the month, only in July. - `0 0 L * FRI,SAT`: At 12:00 AM, on the last day of the month, and on Friday and Saturday. From f076c2d6742a70832801f7522cb65954d09c2fad Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Fri, 8 Dec 2023 07:15:01 -0500 Subject: [PATCH 076/134] 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 09b5491b1db..ef46b368b91 100644 --- a/website/docs/docs/deploy/deploy-jobs.md +++ b/website/docs/docs/deploy/deploy-jobs.md @@ -91,7 +91,7 @@ Refer to the following example snippets: - `*/5 * * * *`: Every 5 minutes. - `5 4 * * *`: At exactly 4:05 AM UTC. - `30 */4 * * *`: At minute 30 past every 4th hour (such as 4:30 AM, 8:30 AM, 12:30 PM, and so on, all UTC). -- `0 0 */2 * *`: At midnight UTC every other day. +- `0 0 */2 * *`: At 12:00 AM (midnight) UTC every other day. - `0 0 * * 1`: At midnight UTC every Monday. - `0 0 L * *`: At 12:00 AM (midnight), on the last day of the month. - `0 0 L 1,2,3,4,5,6,8,9,10,11,12 *`: At 12:00 AM, on the last day of the month, only in January, February, March, April, May, June, August, September, October, November, and December. From e3c7326f12994ed901a5d9de2a9934e2dea48569 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Fri, 8 Dec 2023 07:16:50 -0500 Subject: [PATCH 077/134] 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 ef46b368b91..5c7ef0ca8b3 100644 --- a/website/docs/docs/deploy/deploy-jobs.md +++ b/website/docs/docs/deploy/deploy-jobs.md @@ -97,7 +97,7 @@ Refer to the following example snippets: - `0 0 L 1,2,3,4,5,6,8,9,10,11,12 *`: At 12:00 AM, on the last day of the month, only in January, February, March, April, May, June, August, September, October, November, and December. - `0 0 L 7 *`: At 12:00 AM, on the last day of the month, only in July. - `0 0 L * FRI,SAT`: At 12:00 AM, on the last day of the month, and on Friday and Saturday. -- `0 12 L * *`: At 12:00 PM, on the last day of the month. +- `0 12 L * *`: At 12:00 PM (afternoon), on the last day of the month. - `0 7 L * 5`: At 07:00 AM, on the last day of the month, and on Friday. - `30 14 L * *`: At 02:30 PM, on the last day of the month. From 4f60817e258b7e50548a2cc8ab7611b7dae25e01 Mon Sep 17 00:00:00 2001 From: Shohei Hagiwara Date: Fri, 8 Dec 2023 21:16:50 +0900 Subject: [PATCH 078/134] Add setting up and loading data steps to prerequisites Make clear that setting up and loading data steps are required for users using other adapters than BigQuery. --- website/docs/guides/manual-install-qs.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/guides/manual-install-qs.md b/website/docs/guides/manual-install-qs.md index c74d30db51c..c84898f2464 100644 --- a/website/docs/guides/manual-install-qs.md +++ b/website/docs/guides/manual-install-qs.md @@ -16,7 +16,7 @@ When you use dbt Core to work with dbt, you will be editing files locally using * To use dbt Core, it's important that you know some basics of the Terminal. In particular, you should understand `cd`, `ls` and `pwd` to navigate through the directory structure of your computer easily. * Install dbt Core using the [installation instructions](/docs/core/installation-overview) for your operating system. -* Complete [Setting up (in BigQuery)](/guides/bigquery?step=2) and [Loading data (BigQuery)](/guides/bigquery?step=3). +* Complete appropriate Setting up and Loading data steps in the Quickstart for dbt Cloud series (For BigQuery adapter, for example, complete [Setting up (in BigQuery)](/guides/bigquery?step=2) and [Loading data (BigQuery)](/guides/bigquery?step=3). * [Create a GitHub account](https://github.com/join) if you don't already have one. ### Create a starter project From b237f544d461378bcab7b8ea5590543b5fbfe618 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Fri, 8 Dec 2023 07:26:55 -0500 Subject: [PATCH 079/134] 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 5c7ef0ca8b3..cee6e245359 100644 --- a/website/docs/docs/deploy/deploy-jobs.md +++ b/website/docs/docs/deploy/deploy-jobs.md @@ -84,7 +84,7 @@ To fully customize the scheduling of your job, choose the **Custom cron schedule Use tools such as [crontab.guru](https://crontab.guru/) to generate the correct cron syntax. This tool allows you to input cron snippets and returns their plain English translations. -Refer to the following example snippets: +Here are examples of cron job schedules. The dbt Cloud job scheduler supports using `L` to schedule jobs on the last day of the month: - `0 * * * *`: Every hour, at minute 0. From 20b422cbf22e36f0326e3cb4a26bf4c8df47a7a6 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Fri, 8 Dec 2023 07:57:43 -0500 Subject: [PATCH 080/134] Update website/docs/guides/manual-install-qs.md --- website/docs/guides/manual-install-qs.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/guides/manual-install-qs.md b/website/docs/guides/manual-install-qs.md index c84898f2464..e9c1af259ac 100644 --- a/website/docs/guides/manual-install-qs.md +++ b/website/docs/guides/manual-install-qs.md @@ -16,7 +16,7 @@ When you use dbt Core to work with dbt, you will be editing files locally using * To use dbt Core, it's important that you know some basics of the Terminal. In particular, you should understand `cd`, `ls` and `pwd` to navigate through the directory structure of your computer easily. * Install dbt Core using the [installation instructions](/docs/core/installation-overview) for your operating system. -* Complete appropriate Setting up and Loading data steps in the Quickstart for dbt Cloud series (For BigQuery adapter, for example, complete [Setting up (in BigQuery)](/guides/bigquery?step=2) and [Loading data (BigQuery)](/guides/bigquery?step=3). +* Complete appropriate Setting up and Loading data steps in the Quickstart for dbt Cloud series. For example, for BigQuery, complete [Setting up (in BigQuery)](/guides/bigquery?step=2) and [Loading data (BigQuery)](/guides/bigquery?step=3). * [Create a GitHub account](https://github.com/join) if you don't already have one. ### Create a starter project From 2b7e51f32b93651b82ec0281a442dfe1cc5bef1b Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Fri, 8 Dec 2023 08:49:07 -0500 Subject: [PATCH 081/134] Update website/docs/docs/dbt-support.md --- website/docs/docs/dbt-support.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/website/docs/docs/dbt-support.md b/website/docs/docs/dbt-support.md index 19cd2b94e37..84bf92482c5 100644 --- a/website/docs/docs/dbt-support.md +++ b/website/docs/docs/dbt-support.md @@ -17,7 +17,9 @@ If you're developing on the command line (CLI) and have questions or need some h ## dbt Cloud support -The global dbt Support team is available to dbt Cloud customers by email (support@getdbt.com) or in-product live chat (💬). We want to help you work through implementing and utilizing dbt Cloud at your organization. Have a question you can't find an answer to in [our docs](https://docs.getdbt.com/) or [the Community Forum](https://discourse.getdbt.com/)? Our Support team is here to `dbt help` you! +The global dbt Support team is available to dbt Cloud customers by [email](mailto:support@getdbt.com) or using the in-product live chat (💬). + +We want to help you work through implementing and utilizing dbt Cloud at your organization. Have a question you can't find an answer to in [our docs](https://docs.getdbt.com/) or [the Community Forum](https://discourse.getdbt.com/)? Our Support team is here to `dbt help` you! - **Enterprise plans** — Priority [support](#severity-level-for-enterprise-support), options for custom support coverage hours, implementation assistance, dedicated management, and dbt Labs security reviews depending on price point. - **Developer and Team plans** — 24x5 support (no service level agreement (SLA); [contact Sales](https://www.getdbt.com/pricing/) for Enterprise plan inquiries). From 9141272b9c07885529791037c49ee2597c7ef9e3 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Fri, 8 Dec 2023 08:49:33 -0500 Subject: [PATCH 082/134] Update dbt-support.md From aa7b29da2104fca529a615f0d1eddbc0224c145e Mon Sep 17 00:00:00 2001 From: Mike Alfare Date: Fri, 8 Dec 2023 15:32:25 -0500 Subject: [PATCH 083/134] add reference links to config block version --- .../reference/resource-configs/redshift-configs.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/website/docs/reference/resource-configs/redshift-configs.md b/website/docs/reference/resource-configs/redshift-configs.md index c7fc0671c0b..f610d19a346 100644 --- a/website/docs/reference/resource-configs/redshift-configs.md +++ b/website/docs/reference/resource-configs/redshift-configs.md @@ -185,13 +185,13 @@ models: ```jinja {{ config( - materialized="materialized_view", + [materialized](/reference/resource-configs/materialized)="materialized_view", on_configuration_change="apply" | "continue" | "fail", - dist="all" | "auto" | "even" | "", - sort=[""], - sort_type="auto" | "compound" | "interleaved", - auto_refresh=true | false, - backup=true | false, + [dist](#using-sortkey-and-distkey)="all" | "auto" | "even" | "", + [sort](#using-sortkey-and-distkey)=[""], + [sort_type](#using-sortkey-and-distkey)="auto" | "compound" | "interleaved", + [auto_refresh](#auto-refresh)=true | false, + [backup](#backup)=true | false, ) }} ``` From 20ae17beeecb7d2eced51a81f1f157421139b372 Mon Sep 17 00:00:00 2001 From: Mike Alfare Date: Fri, 8 Dec 2023 15:34:31 -0500 Subject: [PATCH 084/134] add reference links to config block version --- .../resource-configs/bigquery-configs.md | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/website/docs/reference/resource-configs/bigquery-configs.md b/website/docs/reference/resource-configs/bigquery-configs.md index f9b447fdc0b..ea20be4fb41 100644 --- a/website/docs/reference/resource-configs/bigquery-configs.md +++ b/website/docs/reference/resource-configs/bigquery-configs.md @@ -827,10 +827,10 @@ models: ```jinja {{ config( - materialized='materialized_view', + [materialized](/reference/resource-configs/materialized)='materialized_view', on_configuration_change="apply" | "continue" | "fail", - cluster_by="" | [""], - partition_by={ + [cluster_by](#clustering-clause)="" | [""], + [partition_by](#partition-clause)={ "field": "", "data_type": "timestamp" | "date" | "datetime" | "int64", @@ -846,17 +846,17 @@ models: }, # auto-refresh options - enable_refresh= true | false, - refresh_interval_minutes=, - max_staleness="", + [enable_refresh](#auto-refresh)= true | false, + [refresh_interval_minutes](#auto-refresh)=, + [max_staleness](#auto-refresh)="", # additional options description="", - labels={ + [labels](#specifying-labels)={ "": "", }, - hours_to_expiration=, - kms_key_name="", + [hours_to_expiration](#acontrolling-table-expiration)=, + [kms_key_name](##using-kms-encryption)="", ) }} ``` From ecc39ab9c905e9750016e7f9d689aeafd508fbbc Mon Sep 17 00:00:00 2001 From: Mike Alfare Date: Fri, 8 Dec 2023 15:35:39 -0500 Subject: [PATCH 085/134] add reference links to config block version --- .../docs/reference/resource-configs/snowflake-configs.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/website/docs/reference/resource-configs/snowflake-configs.md b/website/docs/reference/resource-configs/snowflake-configs.md index c6ef5c4b339..a5c2e6f57d9 100644 --- a/website/docs/reference/resource-configs/snowflake-configs.md +++ b/website/docs/reference/resource-configs/snowflake-configs.md @@ -417,10 +417,10 @@ models: ```jinja {{ config( - materialized="dynamic_table", + [materialized](/reference/resource-configs/materialized)="dynamic_table", on_configuration_change="apply" | "continue" | "fail", - target_lag="downstream" | " seconds | minutes | hours | days", - snowflake_warehouse="", + [target_lag](#target-lag)="downstream" | " seconds | minutes | hours | days", + [snowflake_warehouse](#configuring-virtual-warehouses)="", ) }} ``` From 178b89c69d3732862e72f7bb2baf119692126d75 Mon Sep 17 00:00:00 2001 From: Amy Chen <46451573+amychen1776@users.noreply.github.com> Date: Fri, 8 Dec 2023 15:49:09 -0500 Subject: [PATCH 086/134] Update dbt-unity-catalog-best-practices.md --- .../docs/best-practices/dbt-unity-catalog-best-practices.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/website/docs/best-practices/dbt-unity-catalog-best-practices.md b/website/docs/best-practices/dbt-unity-catalog-best-practices.md index 89153fe1b86..a55e1d121af 100644 --- a/website/docs/best-practices/dbt-unity-catalog-best-practices.md +++ b/website/docs/best-practices/dbt-unity-catalog-best-practices.md @@ -49,9 +49,9 @@ The **prod** service principal should have “read” access to raw source data, | | Source Data | Development catalog | Production catalog | Test catalog | | --- | --- | --- | --- | --- | -| developers | use | use, create table & create view | use or none | none | -| production service principal | use | none | use, create table & create view | none | -| Test service principal | use | none | none | use, create table & create view | +| developers | use | use, create schema, table, & view | use or none | none | +| production service principal | use | none | use, create schema, table & view | none | +| Test service principal | use | none | none | use, create schema, table & view | ## Next steps From 3b034c9cdfd01cf017e81ccb330673dd184a46c3 Mon Sep 17 00:00:00 2001 From: Jeremy Yeo Date: Mon, 11 Dec 2023 10:55:47 +1300 Subject: [PATCH 087/134] Update audit-log.md --- website/docs/docs/cloud/manage-access/audit-log.md | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/website/docs/docs/cloud/manage-access/audit-log.md b/website/docs/docs/cloud/manage-access/audit-log.md index b90bceef570..85eb06b4713 100644 --- a/website/docs/docs/cloud/manage-access/audit-log.md +++ b/website/docs/docs/cloud/manage-access/audit-log.md @@ -172,4 +172,12 @@ You can use the audit log to export all historical audit results for security, c +:::info Azure single tenant +For customers deployed in [Azure single tenant](https://docs.getdbt.com/docs/cloud/about-cloud/tenancy), the **Export All** button will not be available. Use one of the following APIs to retrieve alll events instead: +* [Get Recent Audit Log Events CSV](https://docs.getdbt.com/dbt-cloud/api-v3#/operations/Get%20Recent%20Audit%20Log%20Events%20CSV). + * This API will return all events in a single CSV without pagination. +* [List Recent Audit Log Events](https://docs.getdbt.com/dbt-cloud/api-v3#/operations/List%20Recent%20Audit%20Log%20Events). + * You will need to paginate the results as this API returns a limited number of events at a time. + +::: From 6d7ae9c49e8e0c4d6243526ab04e059dbe031bb6 Mon Sep 17 00:00:00 2001 From: Jeremy Yeo Date: Mon, 11 Dec 2023 10:57:03 +1300 Subject: [PATCH 088/134] 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 85eb06b4713..4c5f4938538 100644 --- a/website/docs/docs/cloud/manage-access/audit-log.md +++ b/website/docs/docs/cloud/manage-access/audit-log.md @@ -174,7 +174,7 @@ You can use the audit log to export all historical audit results for security, c :::info Azure single tenant -For customers deployed in [Azure single tenant](https://docs.getdbt.com/docs/cloud/about-cloud/tenancy), the **Export All** button will not be available. Use one of the following APIs to retrieve alll events instead: +For customers deployed in [Azure single tenant](https://docs.getdbt.com/docs/cloud/about-cloud/tenancy), the **Export All** button will not be available. Use one of the following APIs to retrieve all events instead: * [Get Recent Audit Log Events CSV](https://docs.getdbt.com/dbt-cloud/api-v3#/operations/Get%20Recent%20Audit%20Log%20Events%20CSV). * This API will return all events in a single CSV without pagination. * [List Recent Audit Log Events](https://docs.getdbt.com/dbt-cloud/api-v3#/operations/List%20Recent%20Audit%20Log%20Events). From 08972fe81b37c325692942689cbb772b6c4b67fe Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Mon, 11 Dec 2023 10:16:18 -0500 Subject: [PATCH 089/134] clarify and add links --- .../docs/reference/node-selection/syntax.md | 27 ++++++++++++++----- 1 file changed, 21 insertions(+), 6 deletions(-) diff --git a/website/docs/reference/node-selection/syntax.md b/website/docs/reference/node-selection/syntax.md index d0ea4a9acd8..14ec34eb8a6 100644 --- a/website/docs/reference/node-selection/syntax.md +++ b/website/docs/reference/node-selection/syntax.md @@ -35,7 +35,7 @@ To follow [POSIX standards](https://pubs.opengroup.org/onlinepubs/9699919799/bas 3. dbt now has a list of still-selected resources of varying types. As a final step, it tosses away any resource that does not match the resource type of the current task. (Only seeds are kept for `dbt seed`, only models for `dbt run`, only tests for `dbt test`, and so on.) -### Shorthand +## Shorthand Select resources to build (run, test, seed, snapshot) or check freshness: `--select`, `-s` @@ -43,6 +43,10 @@ Select resources to build (run, test, seed, snapshot) or check freshness: `--sel By default, `dbt run` will execute _all_ of the models in the dependency graph. During development (and deployment), it is useful to specify only a subset of models to run. Use the `--select` flag with `dbt run` to select a subset of models to run. Note that the following arguments (`--select`, `--exclude`, and `--selector`) also apply to other dbt tasks, such as `test` and `build`. + + + + The `--select` flag accepts one or more arguments. Each argument can be one of: 1. a package name @@ -52,8 +56,7 @@ The `--select` flag accepts one or more arguments. Each argument can be one of: Examples: - - ```bash +```bash dbt run --select "my_dbt_project_name" # runs all models in your project dbt run --select "my_dbt_model" # runs a specific model dbt run --select "path.to.my.models" # runs all models in a specific directory @@ -61,12 +64,20 @@ dbt run --select "my_package.some_model" # run a specific model in a specific pa dbt run --select "tag:nightly" # run models with the "nightly" tag dbt run --select "path/to/models" # run models contained in path/to/models dbt run --select "path/to/my_model.sql" # run a specific model by its path - ``` +``` -dbt supports a shorthand language for defining subsets of nodes. This language uses the characters `+`, `@`, `*`, and `,`. + + - ```bash +dbt supports a shorthand language for defining subsets of nodes. This language uses the following characters: + +- plus operator [(`+`)](/reference/node-selection/graph-operators#the-plus-operator) +- at operator [(`@`)](/reference/node-selection/graph-operators#the-at-operator) +- asterisk operator (`*`) +- comma operator (`,`) + +```bash # multiple arguments can be provided to --select dbt run --select "my_first_model my_second_model" @@ -77,6 +88,10 @@ dbt run --select "tag:nightly my_model finance.base.*" dbt run --select "path:marts/finance,tag:nightly,config.materialized:table" ``` + + + + As your selection logic gets more complex, and becomes unwieldly to type out as command-line arguments, consider using a [yaml selector](/reference/node-selection/yaml-selectors). You can use a predefined definition with the `--selector` flag. Note that when you're using `--selector`, most other flags (namely `--select` and `--exclude`) will be ignored. From e198da4b6fce4188af82c308544717d0590805ec Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Mon, 11 Dec 2023 10:16:59 -0500 Subject: [PATCH 090/134] add example --- website/docs/reference/node-selection/syntax.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/website/docs/reference/node-selection/syntax.md b/website/docs/reference/node-selection/syntax.md index 14ec34eb8a6..1edc28a4c41 100644 --- a/website/docs/reference/node-selection/syntax.md +++ b/website/docs/reference/node-selection/syntax.md @@ -77,6 +77,8 @@ dbt supports a shorthand language for defining subsets of nodes. This language u - asterisk operator (`*`) - comma operator (`,`) +Examples: + ```bash # multiple arguments can be provided to --select dbt run --select "my_first_model my_second_model" From f4ceaf326758cc037e8ce2e2ee3bf56d9515a5fd Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Mon, 11 Dec 2023 10:26:59 -0500 Subject: [PATCH 091/134] fix label --- website/docs/reference/node-selection/syntax.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/website/docs/reference/node-selection/syntax.md b/website/docs/reference/node-selection/syntax.md index 1edc28a4c41..31e4f878ff3 100644 --- a/website/docs/reference/node-selection/syntax.md +++ b/website/docs/reference/node-selection/syntax.md @@ -45,7 +45,7 @@ By default, `dbt run` will execute _all_ of the models in the dependency graph. - + The `--select` flag accepts one or more arguments. Each argument can be one of: @@ -68,7 +68,7 @@ dbt run --select "path/to/my_model.sql" # run a specific model by its path - + dbt supports a shorthand language for defining subsets of nodes. This language uses the following characters: From 4bec0feee303863ff1589cfb569e92ffa0b98018 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Mon, 11 Dec 2023 10:50:27 -0500 Subject: [PATCH 092/134] Update audit-log.md add add azure ST option --- .../docs/cloud/manage-access/audit-log.md | 26 +++++++++---------- 1 file changed, 12 insertions(+), 14 deletions(-) diff --git a/website/docs/docs/cloud/manage-access/audit-log.md b/website/docs/docs/cloud/manage-access/audit-log.md index 4c5f4938538..d44240a2a27 100644 --- a/website/docs/docs/cloud/manage-access/audit-log.md +++ b/website/docs/docs/cloud/manage-access/audit-log.md @@ -34,7 +34,7 @@ On the audit log page, you will see a list of various events and their associate Click the event card to see the details about the activity that triggered the event. This view provides important details, including when it happened and what type of event was triggered. For example, if someone changes the settings for a job, you can use the event details to see which job was changed (type of event: `v1.events.job_definition.Changed`), by whom (person who triggered the event: `actor`), and when (time it was triggered: `created_at_utc`). For types of events and their descriptions, see [Events in audit log](#events-in-audit-log). -The event details provides the key factors of an event: +The event details provide the key factors of an event: | Name | Description | | -------------------- | --------------------------------------------- | @@ -160,24 +160,22 @@ 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-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. +- **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. - + -:::info Azure single tenant - -For customers deployed in [Azure single tenant](https://docs.getdbt.com/docs/cloud/about-cloud/tenancy), the **Export All** button will not be available. Use one of the following APIs to retrieve all events instead: -* [Get Recent Audit Log Events CSV](https://docs.getdbt.com/dbt-cloud/api-v3#/operations/Get%20Recent%20Audit%20Log%20Events%20CSV). - * This API will return all events in a single CSV without pagination. -* [List Recent Audit Log Events](https://docs.getdbt.com/dbt-cloud/api-v3#/operations/List%20Recent%20Audit%20Log%20Events). - * You will need to paginate the results as this API returns a limited number of events at a time. - -::: +- **Azure Single-tenant deployment** — For users deployed in [Azure single tenant](/docs/cloud/about-cloud/tenancy), while the **Export All** button isn't available, you can conveniently use specific APIs to access all events: + + - [Get recent audit log events CSV](/dbt-cloud/api-v3#/operations/Get%20Recent%20Audit%20Log%20Events%20CSV). + - This API returns all events in a single CSV without pagination. + - [List recent audit log events](/dbt-cloud/api-v3#/operations/List%20Recent%20Audit%20Log%20Events). + - This API returns a limited number of events at a time, which means you will need to paginate the results. From 4ee9af99709339fca7201fa30f7d84725fe237cb Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Mon, 11 Dec 2023 10:59:29 -0500 Subject: [PATCH 093/134] Update audit-log.md turn into h3 --- .../docs/docs/cloud/manage-access/audit-log.md | 15 ++++++++------- 1 file changed, 8 insertions(+), 7 deletions(-) diff --git a/website/docs/docs/cloud/manage-access/audit-log.md b/website/docs/docs/cloud/manage-access/audit-log.md index d44240a2a27..e8e7a9689c5 100644 --- a/website/docs/docs/cloud/manage-access/audit-log.md +++ b/website/docs/docs/cloud/manage-access/audit-log.md @@ -168,14 +168,15 @@ You can search the audit log to find a specific event or actor, which is limited 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-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. -- **Azure Single-tenant deployment** — For users deployed in [Azure single tenant](/docs/cloud/about-cloud/tenancy), while the **Export All** button isn't available, you can conveniently use specific APIs to access all events: - - - [Get recent audit log events CSV](/dbt-cloud/api-v3#/operations/Get%20Recent%20Audit%20Log%20Events%20CSV). - - This API returns all events in a single CSV without pagination. - - [List recent audit log events](/dbt-cloud/api-v3#/operations/List%20Recent%20Audit%20Log%20Events). - - This API returns a limited number of events at a time, which means you will need to paginate the results. +### Azure Single-tenant deployment +For users deployed in [Azure single tenant](/docs/cloud/about-cloud/tenancy), while the **Export All** button isn't available, you can conveniently use specific APIs to access all events: + +- [Get recent audit log events CSV](/dbt-cloud/api-v3#/operations/Get%20Recent%20Audit%20Log%20Events%20CSV). + - This API returns all events in a single CSV without pagination. +- [List recent audit log events](/dbt-cloud/api-v3#/operations/List%20Recent%20Audit%20Log%20Events). + - This API returns a limited number of events at a time, which means you will need to paginate the results. From ff3bd0c98cecf7823efc05495656010a6e39abdb Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Mon, 11 Dec 2023 11:27:43 -0500 Subject: [PATCH 094/134] Update audit-log.md conslidate --- website/docs/docs/cloud/manage-access/audit-log.md | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) diff --git a/website/docs/docs/cloud/manage-access/audit-log.md b/website/docs/docs/cloud/manage-access/audit-log.md index e8e7a9689c5..774400529e9 100644 --- a/website/docs/docs/cloud/manage-access/audit-log.md +++ b/website/docs/docs/cloud/manage-access/audit-log.md @@ -173,10 +173,9 @@ You can use the audit log to export all historical audit results for security, c -### Azure Single-tenant deployment +### Azure Single-tenant + For users deployed in [Azure single tenant](/docs/cloud/about-cloud/tenancy), while the **Export All** button isn't available, you can conveniently use specific APIs to access all events: -- [Get recent audit log events CSV](/dbt-cloud/api-v3#/operations/Get%20Recent%20Audit%20Log%20Events%20CSV). - - This API returns all events in a single CSV without pagination. -- [List recent audit log events](/dbt-cloud/api-v3#/operations/List%20Recent%20Audit%20Log%20Events). - - This API returns a limited number of events at a time, which means you will need to paginate the results. +- [Get recent audit log events CSV](/dbt-cloud/api-v3#/operations/Get%20Recent%20Audit%20Log%20Events%20CSV) — This API returns all events in a single CSV without pagination. +- [List recent audit log events](/dbt-cloud/api-v3#/operations/List%20Recent%20Audit%20Log%20Events) — This API returns a limited number of events at a time, which means you will need to paginate the results. From eecc36d8cfe5c9a4753a277f19b39388f083b3eb Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Mon, 11 Dec 2023 11:40:52 -0500 Subject: [PATCH 095/134] remove sso limitation --- 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 f3294477611..8d2196696aa 100644 --- a/website/docs/docs/cloud/cloud-cli-installation.md +++ b/website/docs/docs/cloud/cloud-cli-installation.md @@ -26,7 +26,7 @@ dbt commands are run against dbt Cloud's infrastructure and benefit from: The dbt Cloud CLI is available in all [deployment regions](/docs/cloud/about-cloud/regions-ip-addresses) and for both multi-tenant and single-tenant accounts (Azure single-tenant not supported at this time). - Ensure you are using dbt version 1.5 or higher. Refer to [dbt Cloud versions](/docs/dbt-versions/upgrade-core-in-cloud) to upgrade. -- Note that SSH tunneling for [Postgres and Redshift](/docs/cloud/connect-data-platform/connect-redshift-postgresql-alloydb) connections and [Single sign-on (SSO)](/docs/cloud/manage-access/sso-overview) doesn't support the dbt Cloud CLI yet. +- Note that SSH tunneling for [Postgres and Redshift](/docs/cloud/connect-data-platform/connect-redshift-postgresql-alloydb) connections doesn't support the dbt Cloud CLI yet. ## Install dbt Cloud CLI From 1e38c0ec4f027cb30a6d6fe5f2265036f950bd2b Mon Sep 17 00:00:00 2001 From: Amy Chen <46451573+amychen1776@users.noreply.github.com> Date: Mon, 11 Dec 2023 13:06:03 -0500 Subject: [PATCH 096/134] Update set-up-your-databricks-dbt-project.md --- website/docs/guides/set-up-your-databricks-dbt-project.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/guides/set-up-your-databricks-dbt-project.md b/website/docs/guides/set-up-your-databricks-dbt-project.md index c17c6a1f99e..895ca253b87 100644 --- a/website/docs/guides/set-up-your-databricks-dbt-project.md +++ b/website/docs/guides/set-up-your-databricks-dbt-project.md @@ -62,7 +62,7 @@ Let’s [create a Databricks SQL warehouse](https://docs.databricks.com/sql/admi 5. Click *Create* 6. Configure warehouse permissions to ensure our service principal and developer have the right access. -We are not covering python in this post but if you want to learn more, check out these [docs](https://docs.getdbt.com/docs/build/python-models#specific-data-platforms). Depending on your workload, you may wish to create a larger SQL Warehouse for production workflows while having a smaller development SQL Warehouse (if you’re not using Serverless SQL Warehouses). +We are not covering python in this post but if you want to learn more, check out these [docs](https://docs.getdbt.com/docs/build/python-models#specific-data-platforms). Depending on your workload, you may wish to create a larger SQL Warehouse for production workflows while having a smaller development SQL Warehouse (if you’re not using Serverless SQL Warehouses). As your project grows, you might wish to apply (compute per model configurations)[/resource-configs/databricks-configs#specifying-the-compute-for-models] ## Configure your dbt project From a8ae9bdde4aff9808c3d79e07f9f75ba260d9f80 Mon Sep 17 00:00:00 2001 From: "Eddo W. Hintoso" Date: Mon, 11 Dec 2023 10:18:44 -0800 Subject: [PATCH 097/134] Do not display 'metric' and 'metrics' in Discovery API job query fields table --- website/docs/docs/dbt-cloud-apis/schema-discovery-job.mdx | 2 +- website/docs/docs/dbt-cloud-apis/schema.jsx | 3 ++- 2 files changed, 3 insertions(+), 2 deletions(-) diff --git a/website/docs/docs/dbt-cloud-apis/schema-discovery-job.mdx b/website/docs/docs/dbt-cloud-apis/schema-discovery-job.mdx index 8b02c5601ad..faebcd9ec2c 100644 --- a/website/docs/docs/dbt-cloud-apis/schema-discovery-job.mdx +++ b/website/docs/docs/dbt-cloud-apis/schema-discovery-job.mdx @@ -61,4 +61,4 @@ query JobQueryExample { ### Fields When querying an `job`, you can use the following fields. - + diff --git a/website/docs/docs/dbt-cloud-apis/schema.jsx b/website/docs/docs/dbt-cloud-apis/schema.jsx index 31568671573..9ac4656c984 100644 --- a/website/docs/docs/dbt-cloud-apis/schema.jsx +++ b/website/docs/docs/dbt-cloud-apis/schema.jsx @@ -173,7 +173,7 @@ export const NodeArgsTable = ({ parent, name, useBetaAPI }) => { ) } -export const SchemaTable = ({ nodeName, useBetaAPI }) => { +export const SchemaTable = ({ nodeName, useBetaAPI, exclude = [] }) => { const [data, setData] = useState(null) useEffect(() => { const fetchData = () => { @@ -255,6 +255,7 @@ export const SchemaTable = ({ nodeName, useBetaAPI }) => { {data.data.__type.fields.map(function ({ name, description, type }) { + if (exclude.includes(name)) return; return ( {name} From 721f8af7460e7d2dc47e20d7faaf7dfcd9a48dbd Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Mon, 11 Dec 2023 13:21:10 -0500 Subject: [PATCH 098/134] Update website/docs/guides/set-up-your-databricks-dbt-project.md --- website/docs/guides/set-up-your-databricks-dbt-project.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/guides/set-up-your-databricks-dbt-project.md b/website/docs/guides/set-up-your-databricks-dbt-project.md index 895ca253b87..5015f715f89 100644 --- a/website/docs/guides/set-up-your-databricks-dbt-project.md +++ b/website/docs/guides/set-up-your-databricks-dbt-project.md @@ -62,7 +62,7 @@ Let’s [create a Databricks SQL warehouse](https://docs.databricks.com/sql/admi 5. Click *Create* 6. Configure warehouse permissions to ensure our service principal and developer have the right access. -We are not covering python in this post but if you want to learn more, check out these [docs](https://docs.getdbt.com/docs/build/python-models#specific-data-platforms). Depending on your workload, you may wish to create a larger SQL Warehouse for production workflows while having a smaller development SQL Warehouse (if you’re not using Serverless SQL Warehouses). As your project grows, you might wish to apply (compute per model configurations)[/resource-configs/databricks-configs#specifying-the-compute-for-models] +We are not covering python in this post but if you want to learn more, check out these [docs](https://docs.getdbt.com/docs/build/python-models#specific-data-platforms). Depending on your workload, you may wish to create a larger SQL Warehouse for production workflows while having a smaller development SQL Warehouse (if you’re not using Serverless SQL Warehouses). As your project grows, you might want to apply [compute per model configurations](/resource-configs/databricks-configs#specifying-the-compute-for-models). ## Configure your dbt project From 4f8f3914f4001eb8e7f402904be8d3ba4b9b2ef7 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Mon, 11 Dec 2023 13:23:20 -0500 Subject: [PATCH 099/134] Update website/docs/guides/set-up-your-databricks-dbt-project.md --- website/docs/guides/set-up-your-databricks-dbt-project.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/guides/set-up-your-databricks-dbt-project.md b/website/docs/guides/set-up-your-databricks-dbt-project.md index 5015f715f89..b2988f36589 100644 --- a/website/docs/guides/set-up-your-databricks-dbt-project.md +++ b/website/docs/guides/set-up-your-databricks-dbt-project.md @@ -62,7 +62,7 @@ Let’s [create a Databricks SQL warehouse](https://docs.databricks.com/sql/admi 5. Click *Create* 6. Configure warehouse permissions to ensure our service principal and developer have the right access. -We are not covering python in this post but if you want to learn more, check out these [docs](https://docs.getdbt.com/docs/build/python-models#specific-data-platforms). Depending on your workload, you may wish to create a larger SQL Warehouse for production workflows while having a smaller development SQL Warehouse (if you’re not using Serverless SQL Warehouses). As your project grows, you might want to apply [compute per model configurations](/resource-configs/databricks-configs#specifying-the-compute-for-models). +We are not covering python in this post but if you want to learn more, check out these [docs](https://docs.getdbt.com/docs/build/python-models#specific-data-platforms). Depending on your workload, you may wish to create a larger SQL Warehouse for production workflows while having a smaller development SQL Warehouse (if you’re not using Serverless SQL Warehouses). As your project grows, you might want to apply [compute per model configurations](/reference/resource-configs/databricks-configs#specifying-the-compute-for-models). ## Configure your dbt project From 49d97537460a3c1603daa68e8f4f989acdfbfccc Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Mon, 11 Dec 2023 13:25:18 -0500 Subject: [PATCH 100/134] Updating MC1 availability --- website/docs/docs/cloud/about-cloud/regions-ip-addresses.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) 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 7f32505d56e..119201b389d 100644 --- a/website/docs/docs/cloud/about-cloud/regions-ip-addresses.md +++ b/website/docs/docs/cloud/about-cloud/regions-ip-addresses.md @@ -12,7 +12,7 @@ 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 multi-tenant [^1] | AWS us-east-1 (N. Virginia) | cloud.getdbt.com | 52.45.144.63
54.81.134.249
52.22.161.231
52.3.77.232
3.214.191.130
34.233.79.135 | ✅ | ✅ | ✅ | -| North America Cell 1 [^1] | AWS us-east-1 (N. Virginia) | {account prefix}.us1.dbt.com | 52.45.144.63
54.81.134.249
52.22.161.231
52.3.77.232
3.214.191.130
34.233.79.135 | ❌ | ❌ | ✅ | +| North America Cell 1 [^1] | AWS us-east-1 (N. Virginia) | {account prefix}.us1.dbt.com | 52.45.144.63
54.81.134.249
52.22.161.231
52.3.77.232
3.214.191.130
34.233.79.135 | ✅ | ❌ | ✅ | | 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 | ❌ | ❌ | ✅ | From be08d4b8dfca6c7afd3ad4ba8d1d4f4fced1f708 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Mon, 11 Dec 2023 15:19:28 -0500 Subject: [PATCH 101/134] Update website/docs/docs/dbt-cloud-apis/service-tokens.md --- website/docs/docs/dbt-cloud-apis/service-tokens.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/dbt-cloud-apis/service-tokens.md b/website/docs/docs/dbt-cloud-apis/service-tokens.md index 230a08023a8..b0b5fbd6cfe 100644 --- a/website/docs/docs/dbt-cloud-apis/service-tokens.md +++ b/website/docs/docs/dbt-cloud-apis/service-tokens.md @@ -51,7 +51,7 @@ Job admin service tokens can authorize requests for viewing, editing, and creati Member service tokens can authorize requests for viewing and editing resources, triggering runs, and inviting members to the account. Tokens assigned the Member permission set will have the same permissions as a Member user. For more information about Member users, see "[Self-service permissions](/docs/cloud/manage-access/self-service-permissions)". **Read-only**
-Read-only service tokens can authorize requests for viewing a read-only dashboard, viewing generated documentation, and viewing source freshness reports. This token can access retrieve account level information endpoints on the Admin API and authorize requests to the Discovery API. +Read-only service tokens can authorize requests for viewing a read-only dashboard, viewing generated documentation, and viewing source freshness reports. This token can access and retrieve account-level information endpoints on the [Admin API](/docs/dbt-cloud-apis/admin-cloud-api) and authorize requests to the [Discovery API](/docs/dbt-cloud-apis/discovery-api). ### Enterprise plans using service account tokens From 3a0d77cc2dd9ec76a54cc3a249009c8dba8f162c Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Mon, 11 Dec 2023 15:45:55 -0500 Subject: [PATCH 102/134] Update website/docs/reference/node-selection/syntax.md Co-authored-by: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> --- website/docs/reference/node-selection/syntax.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/reference/node-selection/syntax.md b/website/docs/reference/node-selection/syntax.md index 31e4f878ff3..d7d2136b325 100644 --- a/website/docs/reference/node-selection/syntax.md +++ b/website/docs/reference/node-selection/syntax.md @@ -45,7 +45,7 @@ By default, `dbt run` will execute _all_ of the models in the dependency graph. - + The `--select` flag accepts one or more arguments. Each argument can be one of: From 706dbb021e9335e0bbc7104d2ba5b7a624d102d4 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Mon, 11 Dec 2023 15:46:09 -0500 Subject: [PATCH 103/134] Update website/docs/reference/node-selection/syntax.md Co-authored-by: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> --- website/docs/reference/node-selection/syntax.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/reference/node-selection/syntax.md b/website/docs/reference/node-selection/syntax.md index d7d2136b325..969db486c0e 100644 --- a/website/docs/reference/node-selection/syntax.md +++ b/website/docs/reference/node-selection/syntax.md @@ -68,7 +68,7 @@ dbt run --select "path/to/my_model.sql" # run a specific model by its path - + dbt supports a shorthand language for defining subsets of nodes. This language uses the following characters: From b6a08ea56cf65415976626e9e3dfda0bc098cdd9 Mon Sep 17 00:00:00 2001 From: Jordan Stein Date: Mon, 11 Dec 2023 20:03:57 -0800 Subject: [PATCH 104/134] sl blog --- ...-12-11-semantic-layer-on-semantic-layer.md | 98 ++++++++++++++++++ website/blog/authors.yml | 8 ++ .../Screenshot-dag.png | Bin 0 -> 290575 bytes .../Screenshot-gsheets.png | Bin 0 -> 104987 bytes .../Screenshot-hex.png | Bin 0 -> 280943 bytes .../Screenshot-metrics-dag.png | Bin 0 -> 332777 bytes website/static/img/blog/authors/jordan.jpeg | Bin 0 -> 180802 bytes 7 files changed, 106 insertions(+) create mode 100644 website/blog/2023-12-11-semantic-layer-on-semantic-layer.md create mode 100644 website/static/img/blog/2023-12-11-semantic-layer-on-semantic-layer/Screenshot-dag.png create mode 100644 website/static/img/blog/2023-12-11-semantic-layer-on-semantic-layer/Screenshot-gsheets.png create mode 100644 website/static/img/blog/2023-12-11-semantic-layer-on-semantic-layer/Screenshot-hex.png create mode 100644 website/static/img/blog/2023-12-11-semantic-layer-on-semantic-layer/Screenshot-metrics-dag.png create mode 100644 website/static/img/blog/authors/jordan.jpeg diff --git a/website/blog/2023-12-11-semantic-layer-on-semantic-layer.md b/website/blog/2023-12-11-semantic-layer-on-semantic-layer.md new file mode 100644 index 00000000000..b321f0cd78d --- /dev/null +++ b/website/blog/2023-12-11-semantic-layer-on-semantic-layer.md @@ -0,0 +1,98 @@ +--- +title: "How we built consitent product launch metrics with the dbt Semantic Layer." +description: "We built and end-to-end data pipeline for measuring the launch of the dbt Semantic Layer using the dbt Semantic Layer." +slug: product-analytics-pipeline-with-dbt-semantic-layer + +authors: [jordan_stein] + +tags: [dbt Cloud] +hide_table_of_contents: false + +date: 2023-12-11 +is_featured: false +--- +There’s nothing quite like the feeling of launching a new product. +On launch day emotions can range from excitement, to fear, to accomplishment all in the same hour. +Once the dust settles and the product is in the wild, the next thing the team needs to do is track how the product is doing. +How many users do we have? How is performance looking? What features are customers using? How often? Answering these questions is vital to understanding the success of any product launch. + +At dbt we recently made the [Semantic Layer Generally Available](https://www.getdbt.com/blog/new-dbt-cloud-features-announced-at-coalesce-2023). The Semantic Layer lets teams define business metrics centrally, in dbt, and access them in multiple analytics tools through our semantic layer APIs. +I’m a Product Manager on the Semantic Layer team, and the launch of the Semantic Layer put our team in an interesting, somewhat “meta,” position: we need to understand how a product launch is doing, and the product we just launched is designed to make defining and consuming metrics much more efficient. It’s the perfect opportunity to put the semantic layer through its paces for product analytics. This blog post walks through the end-to-end process we used to set up product analytics for the dbt Semantic Layer using the dbt Semantic Layer. + +## Getting your data ready for metrics + +The first steps to building a product analytics pipeline with the Semantic Layer look the same as just using dbt - it’s all about data transformation. The steps we followed were broadly: + +1. Work with engineering to understand the data sources. In our case, it’s db exports from Semantic Layer Server. +2. Load the data into our warehouse. We use Fivetran and Snowflake. +3. Transform the data into normalized tables with dbt. This step is a classic. dbt’s bread and butter. You probably know the drill by now. + +There are [plenty of other great resources](https://docs.getdbt.com/docs/build/projects) on how to accomplish the above steps, I’m going to skip that in this post and focus on how we built business metrics using the Semantic Layer. Once the data is loaded and modeling is complete, our DAG for the Semantic Layer data looks like the following: + +![Screenshot 2023-09-28 at 4.05.25 PM.png](../static/img/blog/2023-12-11-semantic-layer-on-semantic-layer/Screenshot-dag.png) + +*Good old-fashioned debt DAG, with an extra node at the end* + + + +Let’s walk through the DAG from left to right: First, we have raw tables from the Semantic Layer Server loaded into our warehouse, next we have staging models where we apply business logic and finally a clean, normalized `fct_semantic_layer_queries` model. Finally, we built a semantic model named `semantic_layer_queries` on top of our normalized fact model. This is a typical DAG for a dbt project that contains semantic objects. Now let’s zoom in to the section of the DAG that contains our semantic layer objects and look in more detail at how we defined our semantic layer product metrics. + +## How we build semantic models and metrics + +What [is a semantic model](https://docs.getdbt.com/docs/build/semantic-models)? Put simply, semantic models contain the components we need to build metrics. Semantic models are YAML files that live in your dbt project. They contain metadata about your dbt models in a format that MetricFlow, the query builder that powers the semantic layer, can understand. The DAG below in [dbt Explorer](https://docs.getdbt.com/docs/collaborate/explore-projects) shows the metrics we’ve built off of `semantic_layer_queries`. + +![Screenshot 2023-10-11 at 4.41.13 PM.png](../static/img/blog/2023-12-11-semantic-layer-on-semantic-layer/Screenshot-metrics-dag.png) + + *Semantic Layer DAG in dbt Explorer* + +Let’s dig into semantic models and metrics a bit more, and explain some of the data modeling decisions we made. First, we needed to decide what model to use as a base for our semantic model. We decide to use`fct_semantic_layer`queries as our base model because defining a semantic model on top of a normalized fact table gives us maximum flexibility to join to other tables. This increased the number of dimensions available, which means we can answer more questions. + +You may wonder: why not just build our metrics on top of raw tables and let MetricFlow figure out the rest? The reality is, that you will almost almost always need to do some form of data modeling to create the data set you want to build your metrics off of. MetricFlow’s job isn’t to do data modeling. The transformation step is done with dbt. + +Next, we had to decide what we wanted to put into our semantic models. Semantic models contain [dimensions](https://docs.getdbt.com/docs/build/dimensions), [measures](https://docs.getdbt.com/docs/build/measures), and [entities](https://docs.getdbt.com/docs/build/entities). We took the following approach to add each of these components: + +- Dimensions: We included all the relevant dimensions in our semantic model that stakeholders might ask for, like the time a query was created, the query status, and booleans showing if a query contained certain elements like a where filter or multiple metrics. +- Entities: We added entities to our semantic model, like dbt cloud environment id. Entities function as join keys in semantic models, which means any other semantic models that have a j[oinable entity](https://docs.getdbt.com/docs/build/join-logic) can be used when querying metrics. +- Measures: Next we added Measures. Measures define the aggregation you want to run on your data. I think of measures as a metric primitive, we’ll use them to build metrics and can reuse them to keep our code [DRY](https://docs.getdbt.com/terms/dry). + +Finally, we reference the measures defined in our semantic model to create metrics. Our initial set of usage metrics are all relatively simple aggregations. For example, the total number of queries run. + +```yaml +metrics: + - name: queries + description: The total number of queries run + type: simple + label: Semantic Layer Queries + type_params: + measure: queries +``` + +*Queries metric configuration** + +Having our metrics in the semantic layer is powerful in a few ways. Firstly, metric definitions and the generated SQL are centralized, and live in our dbt project, instead of being scattered across BI tools or sql clients. Secondly, the types of queries I can run are dynamic and flexible. Traditionally, I would materialize a cube or rollup table which needs to contain all the different dimensional slices my users might be curious about. Now, users can join tables and add dimensionality to their metrics queries on the fly at query time, saving our data team cycles of updating and adding new fields to rollup tables. Thirdly, we can expose these metrics to a variety of downstream BI tools so stakeholders in product, finance, or GTM can understand product performance regardless of their technical skills. + +Now that we’ve done the pipeline work to set up our metrics for the semantic layer launch we’re ready to analyze how the launch went! + +## Our Finance, Operations and GTM teams are all looking at the same metrics 😊 + +To query to Semantic Layer you have two paths: you can query metrics directly through the Semantic Layer APIs or use one of our [first-class integrations](https://docs.getdbt.com/docs/use-dbt-semantic-layer/avail-sl-integrations). Our analytics team and product teams are big Hex users, while our operations and finance teams live and breathe Google Sheets, so it’s important for us to have the same metric definitions available in both tools. + +The leg work of building our pipeline and defining metrics is all done, which makes last-mile consumption much easier. First, we set up a launch dashboard in Hex as the source of truth for semantic layer product metrics. This tool is used by cross-functional partners like marketing, sales, and the executive team to easily check product and usage metrics like total semantic layer queries, or weekly active semantic layer users. To set up our Hex connection, we simply enter a few details from our dbt Cloud environment and then we can work with metrics directly in Hex notebooks. We can use the JDBC interface, or use Hex’s GUI metric builder to build reports. We run all our WBRs off this dashboard, which allows us to spot trends in consumption and react quickly to changes in our business. + +![Screenshot 2023-12-06 at 2.52.03 PM.png](../static/img/blog/2023-12-11-semantic-layer-on-semantic-layer/Screenshot-hex.png) + +*Semantic Layer query builder in Hex* + +On the finance and operations side, product usage data is crucial to making informed pricing decisions. All our pricing models are created in spreadsheets, so we leverage the Google Sheets integration to give those teams access to consistent data sets without the need to download CSVs from the Hex dashboard. This lets the Pricing team add dimensional slices, like tier and company size, to the data in a self-serve manner without having to request data team resources to generate those insights. This allows our finance team to iteratively build financial models and be more self-sufficient in pulling data, instead of relying on data team resources. + +![Screenshot 2023-12-06 at 2.56.18 PM.png](../static/img/blog/2023-12-11-semantic-layer-on-semantic-layer/Screenshot-gsheets.png) + + *Semantic Layer query builder in Google Sheets* + +As a former data scientist and data engineer, I personally think this is a huge improvement over the approach I would have used without the semantic layer. My old approach would have been to materialize One Big Table with all the numeric and categorical columns I needed for analysis. Then write a ton of SQL in Hex or various notebooks to create reports for stakeholders. Inevitably I’m signing up for more development cycles to update the pipeline whenever a new dimension needs to be added or the data needs to be aggregated in a slightly different way. From a data team management perspective, using a central semantic layer saves data analysts cycles since users can more easily self-serve. At every company I’ve ever worked at, data analysts are always in high demand, with more requests than they can reasonably accomplish. This means any time a stakeholder can self-serve their data without pulling us in is a huge win. + +## The Result: Consistent Governed Metrics + +And just like that, we have an end-to-end pipeline for product analytics on the dbt Semantic Layer using the dbt Semantic Layer 🤯. Part of the foundational work to build this pipeline will be familiar to you, like building out a normalized fact table using dbt. Hopefully walking through the next step of adding semantic models and metrics on top of those dbt models helped give you some ideas about how you can use the semantic layer for your team. Having launch metrics defined in dbt made keeping the entire organization up to date on product adoption and performance much easier. Instead of a rollup table or static materialized cubes, we added flexible metrics without rewriting logic in SQL, or adding additional tables to the end of our DAG. + +The result is access to consistent and governed metrics in the tool our stakeholders are already using to do their jobs. We are able to keep the entire organization aligned and give them access to consistent, accurate data they need to do their part to make the semantic layer product successful. Thanks for reading! If you’re thinking of using the semantic layer, or have questions we’re always happy to keep the conversation going in the [dbt community slack.](https://www.getdbt.com/community/join-the-community) Drop us a note in #dbt-cloud-semantic-layer. We’d love to hear from you! \ No newline at end of file diff --git a/website/blog/authors.yml b/website/blog/authors.yml index 31d69824ed4..cd2bd162935 100644 --- a/website/blog/authors.yml +++ b/website/blog/authors.yml @@ -287,6 +287,14 @@ jonathan_natkins: url: https://twitter.com/nattyice name: Jon "Natty" Natkins organization: dbt Labs +jordan_stein: + image_url: /img/blog/authors/jordan.jpeg + job_title: Product Manager + links: + - icon: fa-linkedin + url: https://www.linkedin.com/in/jstein5/ + name: Jordan Stein + organization: dbt Labs josh_fell: image_url: /img/blog/authors/josh-fell.jpeg diff --git a/website/static/img/blog/2023-12-11-semantic-layer-on-semantic-layer/Screenshot-dag.png b/website/static/img/blog/2023-12-11-semantic-layer-on-semantic-layer/Screenshot-dag.png new file mode 100644 index 0000000000000000000000000000000000000000..c053e595b778b0e65e32ca32e12345f858f4e566 GIT binary patch literal 290575 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During development (and deployment), it is useful to specify only a subset of models to run. Use the `--select` flag with `dbt run` to select a subset of models to run. Note that the following arguments (`--select`, `--exclude`, and `--selector`) also apply to other dbt tasks, such as `test` and `build`. - @@ -81,7 +80,13 @@ Examples: ```bash # multiple arguments can be provided to --select - dbt run --select "my_first_model my_second_model" +dbt run --select "my_first_model my_second_model" + +# select my_model and all of its children +dbt run --select "my_model+" + +# select my_model, its children, and the parents of its children +dbt run --models @my_model # these arguments can be projects, models, directory paths, tags, or sources dbt run --select "tag:nightly my_model finance.base.*" From 4cdfdf65ad5f6dec6d890f397f03c28db0bba5e3 Mon Sep 17 00:00:00 2001 From: Amy Chen <46451573+amychen1776@users.noreply.github.com> Date: Tue, 12 Dec 2023 08:12:38 -0500 Subject: [PATCH 106/134] Update databricks-configs.md --- .../resource-configs/databricks-configs.md | 19 +++++++++++-------- 1 file changed, 11 insertions(+), 8 deletions(-) diff --git a/website/docs/reference/resource-configs/databricks-configs.md b/website/docs/reference/resource-configs/databricks-configs.md index 8426846997c..fb3c9e7f5c3 100644 --- a/website/docs/reference/resource-configs/databricks-configs.md +++ b/website/docs/reference/resource-configs/databricks-configs.md @@ -365,9 +365,18 @@ insert into analytics.replace_where_incremental ## Selecting compute per model -Beginning in version 1.7.2, you can assign which compute resource to use on a per-model basis. +Beginning in version 1.7.2, you can assign which compute resource to use on a per-model basis. For SQL models, you can select a SQL Warehouse (serverless or provisioned) or an all purpose cluster. For details on how this feature interacts with python models, see [Specifying compute for Python models](#specifying-compute-for-python-models). + +:::note + +This is an optional setting. If you do not configure this as shown below, we will default to the compute specified by http_path in the top level of the output section in your profile. +This is also the compute that will be used for tasks not associated with a particular model, such as gathering metadata for all tables in a schema. + +::: + + To take advantage of this capability, you will need to add compute blocks to your profile: @@ -500,12 +509,6 @@ select * from {{ ref('seed') }} -:::note - -In the absence of a specified compute, we will default to the compute specified by http_path in the top level of the output section in your profile. -This is also the compute that will be used for tasks not associated with a particular model, such as gathering metadata for all tables in a schema. - -::: To validate that the specified compute is being used, look for lines in your dbt.log like: @@ -525,7 +528,7 @@ Materializing a python model requires execution of SQL as well as python. Specifically, if your python model is incremental, the current execution pattern involves executing python to create a staging table that is then merged into your target table using SQL. The python code needs to run on an all purpose cluster, while the SQL code can run on an all purpose cluster or a SQL Warehouse. When you specify your `databricks_compute` for a python model, you are currently only specifying which compute to use when running the model-specific SQL. -If you wish to use a different compute for executing the python itself, you must specify an alternate `http_path` in the config for the model: +If you wish to use a different compute for executing the python itself, you must specify an alternate `http_path` in the config for the model. Please note that declaring a separate SQL compute and a python compute for your python dbt models is optional. If you wish to do this: From 52c289c47c2467f09dea2a917dd530b4d4ef889a Mon Sep 17 00:00:00 2001 From: Thomas Lento Date: Tue, 12 Dec 2023 09:05:49 -0800 Subject: [PATCH 107/134] Switch SCD example to entity type `natural` We recommend using the `natural` type for what is normally the `primary` entity in an SCD semantic model layout. The distinction is that `primary` indicates one row per entity value, while `natural` does not, and in an SCD context there is one row per entity value/time window set, rather than one row per entity value as in standard conformed dimension tables. --- website/docs/docs/build/dimensions.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/website/docs/docs/build/dimensions.md b/website/docs/docs/build/dimensions.md index 683ff730d3c..97e2fdd502e 100644 --- a/website/docs/docs/build/dimensions.md +++ b/website/docs/docs/build/dimensions.md @@ -252,7 +252,7 @@ This example shows how to create slowly changing dimensions (SCD) using a semant | 333 | 2 | 2020-08-19 | 2021-10-22| | 333 | 3 | 2021-10-22 | 2048-01-01| -Take note of the extra arguments under `validity_params`: `is_start` and `is_end`. These arguments indicate the columns in the SCD table that contain the start and end dates for each tier (or beginning or ending timestamp column for a dimensional value). +Take note of the extra arguments under `validity_params`: `is_start` and `is_end`. These arguments indicate the columns in the SCD table that contain the start and end dates for each tier (or beginning or ending timestamp column for a dimensional value). Note also the entity is tagged as `natural` - this is to distinguish it from a `primary` entity, where we expect one row per entity value. Here, we expect one row per entity value/validity window combination. ```yaml semantic_models: @@ -282,7 +282,7 @@ semantic_models: entities: - name: sales_person - type: primary + type: natural expr: sales_person_id ``` From 62def67a0d548d3bca1609acdfe62f61bf023876 Mon Sep 17 00:00:00 2001 From: Thomas Lento Date: Tue, 12 Dec 2023 09:34:06 -0800 Subject: [PATCH 108/134] Apply suggestions from code review Co-authored-by: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> --- website/docs/docs/build/dimensions.md | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/website/docs/docs/build/dimensions.md b/website/docs/docs/build/dimensions.md index 97e2fdd502e..3c4edd9aef0 100644 --- a/website/docs/docs/build/dimensions.md +++ b/website/docs/docs/build/dimensions.md @@ -252,7 +252,8 @@ This example shows how to create slowly changing dimensions (SCD) using a semant | 333 | 2 | 2020-08-19 | 2021-10-22| | 333 | 3 | 2021-10-22 | 2048-01-01| -Take note of the extra arguments under `validity_params`: `is_start` and `is_end`. These arguments indicate the columns in the SCD table that contain the start and end dates for each tier (or beginning or ending timestamp column for a dimensional value). Note also the entity is tagged as `natural` - this is to distinguish it from a `primary` entity, where we expect one row per entity value. Here, we expect one row per entity value/validity window combination. + +The `validity_params` include two important arguments — `is_start` and `is_end`. These specify the columns in the SCD table that mark the start and end dates (or timestamps) for each tier or dimension. Additionally, the entity is tagged as `natural` to differentiate it from a `primary` entity. In a `primary` entity, each entity value has one row. In contrast, a `natural` entity has one row for each combination of entity value and its validity period. ```yaml semantic_models: @@ -280,6 +281,8 @@ semantic_models: - name: tier type: categorical + primary_entity: sales_person + entities: - name: sales_person type: natural From b8095bc6fa033d64101659808eca3b4641a853d7 Mon Sep 17 00:00:00 2001 From: Jordan Date: Tue, 12 Dec 2023 10:08:16 -0800 Subject: [PATCH 109/134] Update website/blog/2023-12-11-semantic-layer-on-semantic-layer.md Co-authored-by: Jason Ganz --- website/blog/2023-12-11-semantic-layer-on-semantic-layer.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/blog/2023-12-11-semantic-layer-on-semantic-layer.md b/website/blog/2023-12-11-semantic-layer-on-semantic-layer.md index b321f0cd78d..1bc07d71e58 100644 --- a/website/blog/2023-12-11-semantic-layer-on-semantic-layer.md +++ b/website/blog/2023-12-11-semantic-layer-on-semantic-layer.md @@ -8,7 +8,7 @@ authors: [jordan_stein] tags: [dbt Cloud] hide_table_of_contents: false -date: 2023-12-11 +date: 2023-12-12 is_featured: false --- There’s nothing quite like the feeling of launching a new product. From dc5320b82f97f8a866004e34eaa76ca461e1e747 Mon Sep 17 00:00:00 2001 From: Jordan Date: Tue, 12 Dec 2023 10:13:31 -0800 Subject: [PATCH 110/134] Update website/blog/2023-12-11-semantic-layer-on-semantic-layer.md Co-authored-by: Jason Ganz --- website/blog/2023-12-11-semantic-layer-on-semantic-layer.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/blog/2023-12-11-semantic-layer-on-semantic-layer.md b/website/blog/2023-12-11-semantic-layer-on-semantic-layer.md index 1bc07d71e58..1b93981287c 100644 --- a/website/blog/2023-12-11-semantic-layer-on-semantic-layer.md +++ b/website/blog/2023-12-11-semantic-layer-on-semantic-layer.md @@ -18,7 +18,7 @@ How many users do we have? How is performance looking? What features are custome At dbt we recently made the [Semantic Layer Generally Available](https://www.getdbt.com/blog/new-dbt-cloud-features-announced-at-coalesce-2023). The Semantic Layer lets teams define business metrics centrally, in dbt, and access them in multiple analytics tools through our semantic layer APIs. I’m a Product Manager on the Semantic Layer team, and the launch of the Semantic Layer put our team in an interesting, somewhat “meta,” position: we need to understand how a product launch is doing, and the product we just launched is designed to make defining and consuming metrics much more efficient. It’s the perfect opportunity to put the semantic layer through its paces for product analytics. This blog post walks through the end-to-end process we used to set up product analytics for the dbt Semantic Layer using the dbt Semantic Layer. - + ## Getting your data ready for metrics The first steps to building a product analytics pipeline with the Semantic Layer look the same as just using dbt - it’s all about data transformation. The steps we followed were broadly: From c90a2815cc2ca0f44a92adce1103683732059226 Mon Sep 17 00:00:00 2001 From: Jordan Date: Tue, 12 Dec 2023 10:14:20 -0800 Subject: [PATCH 111/134] Update 2023-12-11-semantic-layer-on-semantic-layer.md --- website/blog/2023-12-11-semantic-layer-on-semantic-layer.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/website/blog/2023-12-11-semantic-layer-on-semantic-layer.md b/website/blog/2023-12-11-semantic-layer-on-semantic-layer.md index 1b93981287c..4537f25ead1 100644 --- a/website/blog/2023-12-11-semantic-layer-on-semantic-layer.md +++ b/website/blog/2023-12-11-semantic-layer-on-semantic-layer.md @@ -37,7 +37,7 @@ There are [plenty of other great resources](https://docs.getdbt.com/docs/build/p Let’s walk through the DAG from left to right: First, we have raw tables from the Semantic Layer Server loaded into our warehouse, next we have staging models where we apply business logic and finally a clean, normalized `fct_semantic_layer_queries` model. Finally, we built a semantic model named `semantic_layer_queries` on top of our normalized fact model. This is a typical DAG for a dbt project that contains semantic objects. Now let’s zoom in to the section of the DAG that contains our semantic layer objects and look in more detail at how we defined our semantic layer product metrics. -## How we build semantic models and metrics +## [How we build semantic models and metrics](https://docs.getdbt.com/best-practices/how-we-build-our-metrics/semantic-layer-1-intro) What [is a semantic model](https://docs.getdbt.com/docs/build/semantic-models)? Put simply, semantic models contain the components we need to build metrics. Semantic models are YAML files that live in your dbt project. They contain metadata about your dbt models in a format that MetricFlow, the query builder that powers the semantic layer, can understand. The DAG below in [dbt Explorer](https://docs.getdbt.com/docs/collaborate/explore-projects) shows the metrics we’ve built off of `semantic_layer_queries`. @@ -95,4 +95,4 @@ As a former data scientist and data engineer, I personally think this is a huge And just like that, we have an end-to-end pipeline for product analytics on the dbt Semantic Layer using the dbt Semantic Layer 🤯. Part of the foundational work to build this pipeline will be familiar to you, like building out a normalized fact table using dbt. Hopefully walking through the next step of adding semantic models and metrics on top of those dbt models helped give you some ideas about how you can use the semantic layer for your team. Having launch metrics defined in dbt made keeping the entire organization up to date on product adoption and performance much easier. Instead of a rollup table or static materialized cubes, we added flexible metrics without rewriting logic in SQL, or adding additional tables to the end of our DAG. -The result is access to consistent and governed metrics in the tool our stakeholders are already using to do their jobs. We are able to keep the entire organization aligned and give them access to consistent, accurate data they need to do their part to make the semantic layer product successful. Thanks for reading! If you’re thinking of using the semantic layer, or have questions we’re always happy to keep the conversation going in the [dbt community slack.](https://www.getdbt.com/community/join-the-community) Drop us a note in #dbt-cloud-semantic-layer. We’d love to hear from you! \ No newline at end of file +The result is access to consistent and governed metrics in the tool our stakeholders are already using to do their jobs. We are able to keep the entire organization aligned and give them access to consistent, accurate data they need to do their part to make the semantic layer product successful. Thanks for reading! If you’re thinking of using the semantic layer, or have questions we’re always happy to keep the conversation going in the [dbt community slack.](https://www.getdbt.com/community/join-the-community) Drop us a note in #dbt-cloud-semantic-layer. We’d love to hear from you! From 4ddba3212e6d29a2d123d914f061d29a652a85ee Mon Sep 17 00:00:00 2001 From: Jordan Stein Date: Mon, 11 Dec 2023 20:12:48 -0800 Subject: [PATCH 112/134] update images --- ...023-12-11-semantic-layer-on-semantic-layer.md | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/website/blog/2023-12-11-semantic-layer-on-semantic-layer.md b/website/blog/2023-12-11-semantic-layer-on-semantic-layer.md index 4537f25ead1..18e8ca96a81 100644 --- a/website/blog/2023-12-11-semantic-layer-on-semantic-layer.md +++ b/website/blog/2023-12-11-semantic-layer-on-semantic-layer.md @@ -29,9 +29,10 @@ The first steps to building a product analytics pipeline with the Semantic Layer There are [plenty of other great resources](https://docs.getdbt.com/docs/build/projects) on how to accomplish the above steps, I’m going to skip that in this post and focus on how we built business metrics using the Semantic Layer. Once the data is loaded and modeling is complete, our DAG for the Semantic Layer data looks like the following: -![Screenshot 2023-09-28 at 4.05.25 PM.png](../static/img/blog/2023-12-11-semantic-layer-on-semantic-layer/Screenshot-dag.png) -*Good old-fashioned debt DAG, with an extra node at the end* + + + @@ -41,9 +42,8 @@ Let’s walk through the DAG from left to right: First, we have raw tables from What [is a semantic model](https://docs.getdbt.com/docs/build/semantic-models)? Put simply, semantic models contain the components we need to build metrics. Semantic models are YAML files that live in your dbt project. They contain metadata about your dbt models in a format that MetricFlow, the query builder that powers the semantic layer, can understand. The DAG below in [dbt Explorer](https://docs.getdbt.com/docs/collaborate/explore-projects) shows the metrics we’ve built off of `semantic_layer_queries`. -![Screenshot 2023-10-11 at 4.41.13 PM.png](../static/img/blog/2023-12-11-semantic-layer-on-semantic-layer/Screenshot-metrics-dag.png) + - *Semantic Layer DAG in dbt Explorer* Let’s dig into semantic models and metrics a bit more, and explain some of the data modeling decisions we made. First, we needed to decide what model to use as a base for our semantic model. We decide to use`fct_semantic_layer`queries as our base model because defining a semantic model on top of a normalized fact table gives us maximum flexibility to join to other tables. This increased the number of dimensions available, which means we can answer more questions. @@ -79,15 +79,15 @@ To query to Semantic Layer you have two paths: you can query metrics directly th The leg work of building our pipeline and defining metrics is all done, which makes last-mile consumption much easier. First, we set up a launch dashboard in Hex as the source of truth for semantic layer product metrics. This tool is used by cross-functional partners like marketing, sales, and the executive team to easily check product and usage metrics like total semantic layer queries, or weekly active semantic layer users. To set up our Hex connection, we simply enter a few details from our dbt Cloud environment and then we can work with metrics directly in Hex notebooks. We can use the JDBC interface, or use Hex’s GUI metric builder to build reports. We run all our WBRs off this dashboard, which allows us to spot trends in consumption and react quickly to changes in our business. -![Screenshot 2023-12-06 at 2.52.03 PM.png](../static/img/blog/2023-12-11-semantic-layer-on-semantic-layer/Screenshot-hex.png) -*Semantic Layer query builder in Hex* + + On the finance and operations side, product usage data is crucial to making informed pricing decisions. All our pricing models are created in spreadsheets, so we leverage the Google Sheets integration to give those teams access to consistent data sets without the need to download CSVs from the Hex dashboard. This lets the Pricing team add dimensional slices, like tier and company size, to the data in a self-serve manner without having to request data team resources to generate those insights. This allows our finance team to iteratively build financial models and be more self-sufficient in pulling data, instead of relying on data team resources. -![Screenshot 2023-12-06 at 2.56.18 PM.png](../static/img/blog/2023-12-11-semantic-layer-on-semantic-layer/Screenshot-gsheets.png) - *Semantic Layer query builder in Google Sheets* + + As a former data scientist and data engineer, I personally think this is a huge improvement over the approach I would have used without the semantic layer. My old approach would have been to materialize One Big Table with all the numeric and categorical columns I needed for analysis. Then write a ton of SQL in Hex or various notebooks to create reports for stakeholders. Inevitably I’m signing up for more development cycles to update the pipeline whenever a new dimension needs to be added or the data needs to be aggregated in a slightly different way. From a data team management perspective, using a central semantic layer saves data analysts cycles since users can more easily self-serve. At every company I’ve ever worked at, data analysts are always in high demand, with more requests than they can reasonably accomplish. This means any time a stakeholder can self-serve their data without pulling us in is a huge win. From 4ab9c07dd03cbefbf3bb3a498f23d5d44fb73078 Mon Sep 17 00:00:00 2001 From: Jordan Stein Date: Tue, 12 Dec 2023 10:19:41 -0800 Subject: [PATCH 113/134] update caption for metric config --- website/blog/2023-12-11-semantic-layer-on-semantic-layer.md | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/website/blog/2023-12-11-semantic-layer-on-semantic-layer.md b/website/blog/2023-12-11-semantic-layer-on-semantic-layer.md index 18e8ca96a81..1b80297bb44 100644 --- a/website/blog/2023-12-11-semantic-layer-on-semantic-layer.md +++ b/website/blog/2023-12-11-semantic-layer-on-semantic-layer.md @@ -58,6 +58,7 @@ Next, we had to decide what we wanted to put into our semantic models. Semantic Finally, we reference the measures defined in our semantic model to create metrics. Our initial set of usage metrics are all relatively simple aggregations. For example, the total number of queries run. ```yaml +## Example of a metric definition metrics: - name: queries description: The total number of queries run @@ -67,8 +68,6 @@ metrics: measure: queries ``` -*Queries metric configuration** - Having our metrics in the semantic layer is powerful in a few ways. Firstly, metric definitions and the generated SQL are centralized, and live in our dbt project, instead of being scattered across BI tools or sql clients. Secondly, the types of queries I can run are dynamic and flexible. Traditionally, I would materialize a cube or rollup table which needs to contain all the different dimensional slices my users might be curious about. Now, users can join tables and add dimensionality to their metrics queries on the fly at query time, saving our data team cycles of updating and adding new fields to rollup tables. Thirdly, we can expose these metrics to a variety of downstream BI tools so stakeholders in product, finance, or GTM can understand product performance regardless of their technical skills. Now that we’ve done the pipeline work to set up our metrics for the semantic layer launch we’re ready to analyze how the launch went! From 3d38463b2ea1a0267a5f82b0de765d4d00171c59 Mon Sep 17 00:00:00 2001 From: Jordan Stein Date: Tue, 12 Dec 2023 10:22:34 -0800 Subject: [PATCH 114/134] remove beta flag --- .../how-we-build-our-metrics/semantic-layer-1-intro.md | 4 ---- 1 file changed, 4 deletions(-) diff --git a/website/docs/best-practices/how-we-build-our-metrics/semantic-layer-1-intro.md b/website/docs/best-practices/how-we-build-our-metrics/semantic-layer-1-intro.md index 19c6717063c..ee3d4262882 100644 --- a/website/docs/best-practices/how-we-build-our-metrics/semantic-layer-1-intro.md +++ b/website/docs/best-practices/how-we-build-our-metrics/semantic-layer-1-intro.md @@ -4,10 +4,6 @@ description: Getting started with the dbt and MetricFlow hoverSnippet: Learn how to get started with the dbt and MetricFlow --- -:::tip -**This is a guide for a beta product.** We anticipate this guide will evolve alongside the Semantic Layer through community collaboration. We welcome discussions, ideas, issues, and contributions to refining best practices. -::: - Flying cars, hoverboards, and true self-service analytics: this is the future we were promised. The first two might still be a few years out, but real self-service analytics is here today. With dbt Cloud's Semantic Layer, you can resolve the tension between accuracy and flexibility that has hampered analytics tools for years, empowering everybody in your organization to explore a shared reality of metrics. Best of all for analytics engineers, building with these new tools will significantly [DRY](https://docs.getdbt.com/terms/dry) up and simplify your codebase. As you'll see, the deep interaction between your dbt models and the Semantic Layer make your dbt project the ideal place to craft your metrics. ## Learning goals From 279238f500dbdef1a30ea098a4d48318757aa0a7 Mon Sep 17 00:00:00 2001 From: Mike Alfare <13974384+mikealfare@users.noreply.github.com> Date: Tue, 12 Dec 2023 18:06:04 -0500 Subject: [PATCH 115/134] Update website/docs/reference/resource-configs/bigquery-configs.md Co-authored-by: Doug Beatty <44704949+dbeatty10@users.noreply.github.com> --- website/docs/reference/resource-configs/bigquery-configs.md | 1 - 1 file changed, 1 deletion(-) diff --git a/website/docs/reference/resource-configs/bigquery-configs.md b/website/docs/reference/resource-configs/bigquery-configs.md index ea20be4fb41..9e61a8d5265 100644 --- a/website/docs/reference/resource-configs/bigquery-configs.md +++ b/website/docs/reference/resource-configs/bigquery-configs.md @@ -752,7 +752,6 @@ with the following configuration parameters: -directly to the materialized view in place. ```yaml models: From 06e7ad826d952b54c466779f742bcb60e65b7f5d Mon Sep 17 00:00:00 2001 From: Doug Beatty <44704949+dbeatty10@users.noreply.github.com> Date: Tue, 12 Dec 2023 16:41:34 -0700 Subject: [PATCH 116/134] Fix missing end backtick for config name --- .../core-upgrade/11-Older versions/upgrading-to-0-14-0.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/dbt-versions/core-upgrade/11-Older versions/upgrading-to-0-14-0.md b/website/docs/docs/dbt-versions/core-upgrade/11-Older versions/upgrading-to-0-14-0.md index 036a9a2aedf..48aa14a42e5 100644 --- a/website/docs/docs/dbt-versions/core-upgrade/11-Older versions/upgrading-to-0-14-0.md +++ b/website/docs/docs/dbt-versions/core-upgrade/11-Older versions/upgrading-to-0-14-0.md @@ -189,7 +189,7 @@ models: -**Configuring the `incremental_strategy for a single model:** +**Configuring the `incremental_strategy` for a single model:** From 219dfcc92ad84dea5df5380128dfb845904f1b12 Mon Sep 17 00:00:00 2001 From: Doug Beatty <44704949+dbeatty10@users.noreply.github.com> Date: Tue, 12 Dec 2023 17:09:21 -0700 Subject: [PATCH 117/134] OSS expectations for testing in pull requests --- website/docs/community/resources/oss-expectations.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/website/docs/community/resources/oss-expectations.md b/website/docs/community/resources/oss-expectations.md index 9c916de1240..762e87d97fb 100644 --- a/website/docs/community/resources/oss-expectations.md +++ b/website/docs/community/resources/oss-expectations.md @@ -94,6 +94,8 @@ PRs are your surest way to make the change you want to see in dbt / packages / d **Every PR should be associated with an issue.** Why? Before you spend a lot of time working on a contribution, we want to make sure that your proposal will be accepted. You should open an issue first, describing your desired outcome and outlining your planned change. If you've found an older issue that's already open, comment on it with an outline for your planned implementation. Exception to this rule: If you're just opening a PR for a cosmetic fix, such as a typo in documentation, an issue isn't needed. +**PRs should include robust testing.** With the goal to substantially cut down the number and impact of regressions, we are taking a more meticulous approach to the tests that we require to merge a pull request. We recognize that robust testing can often take significantly more effort than the main portion of the code. Thank you for your help in contributing to this goal! + **Our goal is to review most new PRs within 7 days.** The first review will include some high-level comments about the implementation, including (at a high level) whether it’s something we think suitable to merge. Depending on the scope of the PR, the first review may include line-level code suggestions, or we may delay specific code review until the PR is more finalized / until we have more time. **Automation that can help us:** Many repositories have a template for pull request descriptions, which will include a checklist that must be completed before the PR can be merged. You don’t have to do all of these things to get an initial PR, but they definitely help. Those many include things like: From 254c514b590bd96575883b66566ab5bc83dd9f75 Mon Sep 17 00:00:00 2001 From: Joel Labes Date: Wed, 13 Dec 2023 16:45:05 +1300 Subject: [PATCH 118/134] Fix typos in blog name and description --- website/blog/2023-12-11-semantic-layer-on-semantic-layer.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/website/blog/2023-12-11-semantic-layer-on-semantic-layer.md b/website/blog/2023-12-11-semantic-layer-on-semantic-layer.md index 1b80297bb44..ea77072a6dd 100644 --- a/website/blog/2023-12-11-semantic-layer-on-semantic-layer.md +++ b/website/blog/2023-12-11-semantic-layer-on-semantic-layer.md @@ -1,6 +1,6 @@ --- -title: "How we built consitent product launch metrics with the dbt Semantic Layer." -description: "We built and end-to-end data pipeline for measuring the launch of the dbt Semantic Layer using the dbt Semantic Layer." +title: "How we built consistent product launch metrics with the dbt Semantic Layer." +description: "We built an end-to-end data pipeline for measuring the launch of the dbt Semantic Layer using the dbt Semantic Layer." slug: product-analytics-pipeline-with-dbt-semantic-layer authors: [jordan_stein] From 99a3ed283f118aba1463bf99a330669991108793 Mon Sep 17 00:00:00 2001 From: Erik Mathiesen Date: Wed, 13 Dec 2023 09:50:05 +0100 Subject: [PATCH 119/134] Update infer-dbt documentation to fix broken links and add configuration page. --- .../core/connect-data-platform/infer-setup.md | 25 +++++++++--- .../resource-configs/infer-configs.md | 39 +++++++++++++++++++ website/sidebars.js | 1 + 3 files changed, 59 insertions(+), 6 deletions(-) create mode 100644 website/docs/reference/resource-configs/infer-configs.md diff --git a/website/docs/docs/core/connect-data-platform/infer-setup.md b/website/docs/docs/core/connect-data-platform/infer-setup.md index 7642c553cc4..c04fba59a56 100644 --- a/website/docs/docs/core/connect-data-platform/infer-setup.md +++ b/website/docs/docs/core/connect-data-platform/infer-setup.md @@ -12,16 +12,21 @@ meta: slack_channel_name: n/a slack_channel_link: platform_name: 'Infer' - config_page: '/reference/resource-configs/no-configs' + config_page: '/reference/resource-configs/infer-configs' min_supported_version: n/a --- +:::info Vendor-supported plugin + +Certain core functionality may vary. If you would like to report a bug, request a feature, or contribute, you can check out the linked repository and open an issue. + +::: + import SetUpPages from '/snippets/_setup-pages-intro.md'; - ## Connecting to Infer with **dbt-infer** Infer allows you to perform advanced ML Analytics within SQL as if native to your data warehouse. @@ -30,10 +35,18 @@ you can build advanced analysis for any business use case. Read more about SQL-inf and Infer in the [Infer documentation](https://docs.getinfer.io/). The `dbt-infer` package allow you to use SQL-inf easily within your DBT models. -You can read more about the `dbt-infer` package itself and how it connecst to Infer in the [dbt-infer documentation](https://dbt.getinfer.io/). +You can read more about the `dbt-infer` package itself and how it connects to Infer in the [dbt-infer documentation](https://dbt.getinfer.io/). + +The dbt-infer adapter is maintained via PyPi and installed with pip. +To install the latest dbt-infer package simply run the following within the same shell as you run dbt. +```python +pip install dbt-infer +``` + +Versioning of dbt-infer follows the standard dbt versioning scheme - meaning if you are using dbt 1.2 the corresponding dbt-infer will be named 1.2.x where is the latest minor version number. Before using SQL-inf in your DBT models you need to setup an Infer account and generate an API-key for the connection. -You can read how to do that in the [Getting Started Guide](https://dbt.getinfer.io/docs/getting_started#sign-up-to-infer). +You can read how to do that in the [Getting Started Guide](https://docs.getinfer.io/docs/reference/integrations/dbt). The profile configuration in `profiles.yml` for `dbt-infer` should look something like this: @@ -101,10 +114,10 @@ as native SQL functions. Infer supports a number of SQL-inf commands, including `PREDICT`, `EXPLAIN`, `CLUSTER`, `SIMILAR_TO`, `TOPICS`, `SENTIMENT`. -You can read more about SQL-inf and the commands it supports in the [SQL-inf Reference Guide](https://docs.getinfer.io/docs/reference). +You can read more about SQL-inf and the commands it supports in the [SQL-inf Reference Guide](https://docs.getinfer.io/docs/category/commands). To get you started we will give a brief example here of what such a model might look like. -You can find other more complex examples on the [dbt-infer examples page](https://dbt.getinfer.io/docs/examples). +You can find other more complex examples in the [dbt-infer examples repo](https://github.com/inferlabs/dbt-infer-examples). In our simple example, we will show how to use a previous model 'user_features' to predict churn by predicting the column `has_churned`. diff --git a/website/docs/reference/resource-configs/infer-configs.md b/website/docs/reference/resource-configs/infer-configs.md new file mode 100644 index 00000000000..c4837806935 --- /dev/null +++ b/website/docs/reference/resource-configs/infer-configs.md @@ -0,0 +1,39 @@ +--- +title: "Infer configurations" +description: "Read this guide to understand how to configure Infer with dbt." +id: "infer-configs" +--- + + +## Authentication + +To connect to Infer from your dbt instance you need to set up a correct profile in your `profiles.yml`. + +The format of this should look like this: + + + +```yaml +: + target: + outputs: + : + type: infer + url: "" + username: "" + apikey: "" + data_config: + [configuration for your underlying data warehouse] +``` + + + +### Description of Infer Profile Fields + +| Field | Required | Description | +|------------|----------|---------------------------------------------------------------------------------------------------------------------------------------------------| +| `type` | Yes | Must be set to `infer`. This must be included either in `profiles.yml` or in the `dbt_project.yml` file. | +| `url` | Yes | The host name of the Infer server to connect to. Typically this is `https://app.getinfer.io`. | +| `username` | Yes | Your Infer username - the one you use to login. | +| `apikey` | Yes | Your Infer api key. | +| `data_config` | Yes | The configuration for your underlying data warehouse. The format of this follows the format of the configuration for your data warehouse adapter. | diff --git a/website/sidebars.js b/website/sidebars.js index 598fffc7f0d..ba00ba582b2 100644 --- a/website/sidebars.js +++ b/website/sidebars.js @@ -723,6 +723,7 @@ const sidebarSettings = { "reference/resource-configs/oracle-configs", "reference/resource-configs/upsolver-configs", "reference/resource-configs/starrocks-configs", + "reference/resource-configs/infer-configs", ], }, { From 0a73352bfa3de4ffa59190c83cbaa22005103857 Mon Sep 17 00:00:00 2001 From: Doug Beatty <44704949+dbeatty10@users.noreply.github.com> Date: Wed, 13 Dec 2023 08:41:17 -0700 Subject: [PATCH 120/134] Correct default incremental strategy for dbt-databricks `merge` has been the default since dbt-databricks 1.0.0: https://github.com/databricks/dbt-databricks/blob/7ad5507a8a38bde682bb28eb37466bbfc341ac94/CHANGELOG.md?plain=1#L404 --- website/docs/docs/build/incremental-models.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/website/docs/docs/build/incremental-models.md b/website/docs/docs/build/incremental-models.md index 3a597499f04..afff3950c44 100644 --- a/website/docs/docs/build/incremental-models.md +++ b/website/docs/docs/build/incremental-models.md @@ -256,7 +256,7 @@ The `merge` strategy is available in dbt-postgres and dbt-redshift beginning in | [dbt-redshift](/reference/resource-configs/redshift-configs#incremental-materialization-strategies) | `append` | `delete+insert` | | [dbt-bigquery](/reference/resource-configs/bigquery-configs#merge-behavior-incremental-models) | `merge` | `insert_overwrite` | | [dbt-spark](/reference/resource-configs/spark-configs#incremental-models) | `append` | `merge` (Delta only) `insert_overwrite` | -| [dbt-databricks](/reference/resource-configs/databricks-configs#incremental-models) | `append` | `merge` (Delta only) `insert_overwrite` | +| [dbt-databricks](/reference/resource-configs/databricks-configs#incremental-models) | `merge` | `append`, `insert_overwrite` | | [dbt-snowflake](/reference/resource-configs/snowflake-configs#merge-behavior-incremental-models) | `merge` | `append`, `delete+insert` | | [dbt-trino](/reference/resource-configs/trino-configs#incremental) | `append` | `merge` `delete+insert` | @@ -271,7 +271,7 @@ The `merge` strategy is available in dbt-postgres and dbt-redshift beginning in | [dbt-redshift](/reference/resource-configs/redshift-configs#incremental-materialization-strategies) | `append` | `merge`, `delete+insert` | | [dbt-bigquery](/reference/resource-configs/bigquery-configs#merge-behavior-incremental-models) | `merge` | `insert_overwrite` | | [dbt-spark](/reference/resource-configs/spark-configs#incremental-models) | `append` | `merge` (Delta only) `insert_overwrite` | -| [dbt-databricks](/reference/resource-configs/databricks-configs#incremental-models) | `append` | `merge` (Delta only) `insert_overwrite` | +| [dbt-databricks](/reference/resource-configs/databricks-configs#incremental-models) | `merge` | `append`, `insert_overwrite` | | [dbt-snowflake](/reference/resource-configs/snowflake-configs#merge-behavior-incremental-models) | `merge` | `append`, `delete+insert` | | [dbt-trino](/reference/resource-configs/trino-configs#incremental) | `append` | `merge` `delete+insert` | From 7d56df5d580e7954718292f2945354d2fada5307 Mon Sep 17 00:00:00 2001 From: Doug Beatty <44704949+dbeatty10@users.noreply.github.com> Date: Wed, 13 Dec 2023 09:18:09 -0700 Subject: [PATCH 121/134] Commas for consistency --- website/docs/docs/build/incremental-models.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/website/docs/docs/build/incremental-models.md b/website/docs/docs/build/incremental-models.md index afff3950c44..fc9a8313d60 100644 --- a/website/docs/docs/build/incremental-models.md +++ b/website/docs/docs/build/incremental-models.md @@ -258,7 +258,7 @@ The `merge` strategy is available in dbt-postgres and dbt-redshift beginning in | [dbt-spark](/reference/resource-configs/spark-configs#incremental-models) | `append` | `merge` (Delta only) `insert_overwrite` | | [dbt-databricks](/reference/resource-configs/databricks-configs#incremental-models) | `merge` | `append`, `insert_overwrite` | | [dbt-snowflake](/reference/resource-configs/snowflake-configs#merge-behavior-incremental-models) | `merge` | `append`, `delete+insert` | -| [dbt-trino](/reference/resource-configs/trino-configs#incremental) | `append` | `merge` `delete+insert` | +| [dbt-trino](/reference/resource-configs/trino-configs#incremental) | `append` | `merge`, `delete+insert` | @@ -273,7 +273,7 @@ The `merge` strategy is available in dbt-postgres and dbt-redshift beginning in | [dbt-spark](/reference/resource-configs/spark-configs#incremental-models) | `append` | `merge` (Delta only) `insert_overwrite` | | [dbt-databricks](/reference/resource-configs/databricks-configs#incremental-models) | `merge` | `append`, `insert_overwrite` | | [dbt-snowflake](/reference/resource-configs/snowflake-configs#merge-behavior-incremental-models) | `merge` | `append`, `delete+insert` | -| [dbt-trino](/reference/resource-configs/trino-configs#incremental) | `append` | `merge` `delete+insert` | +| [dbt-trino](/reference/resource-configs/trino-configs#incremental) | `append` | `merge`, `delete+insert` | From 55f9664e864cf5f580b36762aaa0388f049d93f0 Mon Sep 17 00:00:00 2001 From: Doug Beatty <44704949+dbeatty10@users.noreply.github.com> Date: Wed, 13 Dec 2023 09:24:18 -0700 Subject: [PATCH 122/134] Remove out-dated references to Delta --- website/docs/docs/build/incremental-models.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/website/docs/docs/build/incremental-models.md b/website/docs/docs/build/incremental-models.md index fc9a8313d60..f55870a3425 100644 --- a/website/docs/docs/build/incremental-models.md +++ b/website/docs/docs/build/incremental-models.md @@ -255,7 +255,7 @@ The `merge` strategy is available in dbt-postgres and dbt-redshift beginning in | [dbt-postgres](/reference/resource-configs/postgres-configs#incremental-materialization-strategies) | `append` | `delete+insert` | | [dbt-redshift](/reference/resource-configs/redshift-configs#incremental-materialization-strategies) | `append` | `delete+insert` | | [dbt-bigquery](/reference/resource-configs/bigquery-configs#merge-behavior-incremental-models) | `merge` | `insert_overwrite` | -| [dbt-spark](/reference/resource-configs/spark-configs#incremental-models) | `append` | `merge` (Delta only) `insert_overwrite` | +| [dbt-spark](/reference/resource-configs/spark-configs#incremental-models) | `append` | `merge`, `insert_overwrite` | | [dbt-databricks](/reference/resource-configs/databricks-configs#incremental-models) | `merge` | `append`, `insert_overwrite` | | [dbt-snowflake](/reference/resource-configs/snowflake-configs#merge-behavior-incremental-models) | `merge` | `append`, `delete+insert` | | [dbt-trino](/reference/resource-configs/trino-configs#incremental) | `append` | `merge`, `delete+insert` | @@ -270,7 +270,7 @@ The `merge` strategy is available in dbt-postgres and dbt-redshift beginning in | [dbt-postgres](/reference/resource-configs/postgres-configs#incremental-materialization-strategies) | `append` | `merge` , `delete+insert` | | [dbt-redshift](/reference/resource-configs/redshift-configs#incremental-materialization-strategies) | `append` | `merge`, `delete+insert` | | [dbt-bigquery](/reference/resource-configs/bigquery-configs#merge-behavior-incremental-models) | `merge` | `insert_overwrite` | -| [dbt-spark](/reference/resource-configs/spark-configs#incremental-models) | `append` | `merge` (Delta only) `insert_overwrite` | +| [dbt-spark](/reference/resource-configs/spark-configs#incremental-models) | `append` | `merge`, `insert_overwrite` | | [dbt-databricks](/reference/resource-configs/databricks-configs#incremental-models) | `merge` | `append`, `insert_overwrite` | | [dbt-snowflake](/reference/resource-configs/snowflake-configs#merge-behavior-incremental-models) | `merge` | `append`, `delete+insert` | | [dbt-trino](/reference/resource-configs/trino-configs#incremental) | `append` | `merge`, `delete+insert` | From 69ca5bab37fa9f6ef10a36007bb476e2c85bc3f5 Mon Sep 17 00:00:00 2001 From: Doug Beatty <44704949+dbeatty10@users.noreply.github.com> Date: Wed, 13 Dec 2023 09:26:28 -0700 Subject: [PATCH 123/134] Standardize width of markdown table --- website/docs/docs/build/incremental-models.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/website/docs/docs/build/incremental-models.md b/website/docs/docs/build/incremental-models.md index f55870a3425..01a392c12fe 100644 --- a/website/docs/docs/build/incremental-models.md +++ b/website/docs/docs/build/incremental-models.md @@ -258,7 +258,7 @@ The `merge` strategy is available in dbt-postgres and dbt-redshift beginning in | [dbt-spark](/reference/resource-configs/spark-configs#incremental-models) | `append` | `merge`, `insert_overwrite` | | [dbt-databricks](/reference/resource-configs/databricks-configs#incremental-models) | `merge` | `append`, `insert_overwrite` | | [dbt-snowflake](/reference/resource-configs/snowflake-configs#merge-behavior-incremental-models) | `merge` | `append`, `delete+insert` | -| [dbt-trino](/reference/resource-configs/trino-configs#incremental) | `append` | `merge`, `delete+insert` | +| [dbt-trino](/reference/resource-configs/trino-configs#incremental) | `append` | `merge`, `delete+insert` | @@ -267,13 +267,13 @@ The `merge` strategy is available in dbt-postgres and dbt-redshift beginning in | data platform adapter | default strategy | additional supported strategies | | :----------------- | :----------------| : ---------------------------------- | -| [dbt-postgres](/reference/resource-configs/postgres-configs#incremental-materialization-strategies) | `append` | `merge` , `delete+insert` | -| [dbt-redshift](/reference/resource-configs/redshift-configs#incremental-materialization-strategies) | `append` | `merge`, `delete+insert` | +| [dbt-postgres](/reference/resource-configs/postgres-configs#incremental-materialization-strategies) | `append` | `merge` , `delete+insert` | +| [dbt-redshift](/reference/resource-configs/redshift-configs#incremental-materialization-strategies) | `append` | `merge`, `delete+insert` | | [dbt-bigquery](/reference/resource-configs/bigquery-configs#merge-behavior-incremental-models) | `merge` | `insert_overwrite` | | [dbt-spark](/reference/resource-configs/spark-configs#incremental-models) | `append` | `merge`, `insert_overwrite` | | [dbt-databricks](/reference/resource-configs/databricks-configs#incremental-models) | `merge` | `append`, `insert_overwrite` | | [dbt-snowflake](/reference/resource-configs/snowflake-configs#merge-behavior-incremental-models) | `merge` | `append`, `delete+insert` | -| [dbt-trino](/reference/resource-configs/trino-configs#incremental) | `append` | `merge`, `delete+insert` | +| [dbt-trino](/reference/resource-configs/trino-configs#incremental) | `append` | `merge`, `delete+insert` | From 1fc78210e06413cc8722b6d323298cdd92735ffe Mon Sep 17 00:00:00 2001 From: Mike Alfare Date: Wed, 13 Dec 2023 12:04:45 -0500 Subject: [PATCH 124/134] add link to description docs --- .../resource-configs/bigquery-configs.md | 30 +++++++++---------- 1 file changed, 15 insertions(+), 15 deletions(-) diff --git a/website/docs/reference/resource-configs/bigquery-configs.md b/website/docs/reference/resource-configs/bigquery-configs.md index 9e61a8d5265..d47562ec2bb 100644 --- a/website/docs/reference/resource-configs/bigquery-configs.md +++ b/website/docs/reference/resource-configs/bigquery-configs.md @@ -725,18 +725,18 @@ The `grant_access_to` config is not thread-safe when multiple views need to be a The BigQuery adapter supports [materialized views](https://cloud.google.com/bigquery/docs/materialized-views-intro) with the following configuration parameters: -| Parameter | Type | Required | Default | Change Monitoring Support | -|--------------------------------------------------------|------------------------|----------|---------|---------------------------| -| `on_configuration_change` | `` | no | `apply` | n/a | -| [`cluster_by`](#clustering-clause) | `[]` | no | `none` | drop/create | -| [`partition_by`](#partition-clause) | `{}` | no | `none` | drop/create | -| [`enable_refresh`](#auto-refresh) | `` | no | `true` | alter | -| [`refresh_interval_minutes`](#auto-refresh) | `` | no | `30` | alter | -| [`max_staleness`](#auto-refresh) (in Preview) | `` | no | `none` | alter | -| `description` | `` | no | `none` | alter | -| [`labels`](#specifying-labels) | `{: }` | no | `none` | alter | -| [`hours_to_expiration`](#controlling-table-expiration) | `` | no | `none` | alter | -| [`kms_key_name`](#using-kms-encryption) | `` | no | `none` | alter | +| Parameter | Type | Required | Default | Change Monitoring Support | +|-------------------------------------------------------------|------------------------|----------|---------|---------------------------| +| `on_configuration_change` | `` | no | `apply` | n/a | +| [`cluster_by`](#clustering-clause) | `[]` | no | `none` | drop/create | +| [`partition_by`](#partition-clause) | `{}` | no | `none` | drop/create | +| [`enable_refresh`](#auto-refresh) | `` | no | `true` | alter | +| [`refresh_interval_minutes`](#auto-refresh) | `` | no | `30` | alter | +| [`max_staleness`](#auto-refresh) (in Preview) | `` | no | `none` | alter | +| [`description`](/reference/resource-properties/description) | `` | no | `none` | alter | +| [`labels`](#specifying-labels) | `{: }` | no | `none` | alter | +| [`hours_to_expiration`](#controlling-table-expiration) | `` | no | `none` | alter | +| [`kms_key_name`](#using-kms-encryption) | `` | no | `none` | alter | [+](/reference/resource-configs/plus-prefix)[max_staleness](#auto-refresh): - [+](/reference/resource-configs/plus-prefix)description: + [+](/reference/resource-configs/plus-prefix)[description](/reference/resource-properties/description): [+](/reference/resource-configs/plus-prefix)[labels](#specifying-labels): {: } [+](/reference/resource-configs/plus-prefix)[hours_to_expiration](#acontrolling-table-expiration): [+](/reference/resource-configs/plus-prefix)[kms_key_name](##using-kms-encryption): @@ -809,7 +809,7 @@ models: [enable_refresh](#auto-refresh): true | false [refresh_interval_minutes](#auto-refresh): [max_staleness](#auto-refresh): - description: + [description](/reference/resource-properties/description): [labels](#specifying-labels): {: } [hours_to_expiration](#acontrolling-table-expiration): [kms_key_name](##using-kms-encryption): @@ -850,7 +850,7 @@ models: [max_staleness](#auto-refresh)="", # additional options - description="", + [description](/reference/resource-properties/description)="", [labels](#specifying-labels)={ "": "", }, From 8f1268241aad643772c0e9308eff5a2c7ada5ac8 Mon Sep 17 00:00:00 2001 From: Doug Beatty <44704949+dbeatty10@users.noreply.github.com> Date: Wed, 13 Dec 2023 10:13:54 -0700 Subject: [PATCH 125/134] Update description of robust testing --- website/docs/community/resources/oss-expectations.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/community/resources/oss-expectations.md b/website/docs/community/resources/oss-expectations.md index 762e87d97fb..a57df7fe67f 100644 --- a/website/docs/community/resources/oss-expectations.md +++ b/website/docs/community/resources/oss-expectations.md @@ -94,7 +94,7 @@ PRs are your surest way to make the change you want to see in dbt / packages / d **Every PR should be associated with an issue.** Why? Before you spend a lot of time working on a contribution, we want to make sure that your proposal will be accepted. You should open an issue first, describing your desired outcome and outlining your planned change. If you've found an older issue that's already open, comment on it with an outline for your planned implementation. Exception to this rule: If you're just opening a PR for a cosmetic fix, such as a typo in documentation, an issue isn't needed. -**PRs should include robust testing.** With the goal to substantially cut down the number and impact of regressions, we are taking a more meticulous approach to the tests that we require to merge a pull request. We recognize that robust testing can often take significantly more effort than the main portion of the code. Thank you for your help in contributing to this goal! +**PRs should include robust testing.** Comprehensive testing within pull requests is crucial for the stability of our project. By prioritizing robust testing, we ensure the reliability of our codebase, minimize unforeseen issues and safeguard against potential regressions. We understand that creating thorough tests often requires significant effort, and your dedication to this process greatly contributes to the project's overall reliability. Thank you for your commitment to maintaining the integrity of our codebase!" **Our goal is to review most new PRs within 7 days.** The first review will include some high-level comments about the implementation, including (at a high level) whether it’s something we think suitable to merge. Depending on the scope of the PR, the first review may include line-level code suggestions, or we may delay specific code review until the PR is more finalized / until we have more time. From 776e159ed5fc67e138965b071253ac44eaee54b2 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Wed, 13 Dec 2023 12:36:52 -0500 Subject: [PATCH 126/134] Apply suggestions from code review --- .../resource-configs/bigquery-configs.md | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/website/docs/reference/resource-configs/bigquery-configs.md b/website/docs/reference/resource-configs/bigquery-configs.md index d47562ec2bb..d3497a02caf 100644 --- a/website/docs/reference/resource-configs/bigquery-configs.md +++ b/website/docs/reference/resource-configs/bigquery-configs.md @@ -866,7 +866,7 @@ models: Many of these parameters correspond to their table counterparts and have been linked above. -The set of parameters which are unique to materialized views covers auto-refresh functionality, which is covered [below](#auto-refresh). +The set of parameters unique to materialized views covers [auto-refresh functionality](#auto-refresh). Find more information about these parameters in the BigQuery docs: - [CREATE MATERIALIZED VIEW statement](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-definition-language#create_materialized_view_statement) @@ -881,9 +881,9 @@ Find more information about these parameters in the BigQuery docs: | `max_staleness` (in Preview) | `` | no | `none` | alter | BigQuery supports [automatic refresh](https://cloud.google.com/bigquery/docs/materialized-views-manage#automatic_refresh) configuration for materialized views. -By default, a materialized view will automatically refresh within 5 minutes of changes in the base table, but no more frequently than every 30 minutes. -BigQuery only officially supports configuration of the frequency (the "30 minutes" part); -however, there is a feature in preview that allows for configuration of the staleness (the "5 minutes" part). +By default, a materialized view will automatically refresh within 5 minutes of changes in the base table, but not more frequently than once every 30 minutes. +BigQuery only officially supports the configuration of the frequency (the "once every 30 minutes" frequency); +however, there is a feature in preview that allows for the configuration of the staleness (the "5 minutes" refresh). dbt will monitor these parameters for changes and apply them using an `ALTER` statement. Find more information about these parameters in the BigQuery docs: @@ -894,11 +894,11 @@ Find more information about these parameters in the BigQuery docs: As with most data platforms, there are limitations associated with materialized views. Some worth noting include: -- Materialized view SQL has a [limited feature set](https://cloud.google.com/bigquery/docs/materialized-views-create#supported-mvs) -- Materialized view SQL cannot be updated; the materialized view must go through a `--full-refresh` (DROP/CREATE) -- The `partition_by` clause on a materialized view must match that of the underlying base table -- While materialized views can have descriptions, materialized view *columns* cannot -- Recreating/dropping the base table requires recreating/dropping the materialized view +- Materialized view SQL has a [limited feature set](https://cloud.google.com/bigquery/docs/materialized-views-create#supported-mvs). +- Materialized view SQL cannot be updated; the materialized view must go through a `--full-refresh` (DROP/CREATE). +- The `partition_by` clause on a materialized view must match that of the underlying base table. +- While materialized views can have descriptions, materialized view *columns* cannot. +- Recreating/dropping the base table requires recreating/dropping the materialized view. Find more information about materialized view limitations in Google's BigQuery [docs](https://cloud.google.com/bigquery/docs/materialized-views-intro#limitations). From 5d2fd560124e5cf89797a484f52abe3307da736d Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Wed, 13 Dec 2023 13:16:18 -0500 Subject: [PATCH 127/134] Update snowflake-configs.md --- .../resource-configs/snowflake-configs.md | 17 +++++++---------- 1 file changed, 7 insertions(+), 10 deletions(-) diff --git a/website/docs/reference/resource-configs/snowflake-configs.md b/website/docs/reference/resource-configs/snowflake-configs.md index a5c2e6f57d9..a24b072d39c 100644 --- a/website/docs/reference/resource-configs/snowflake-configs.md +++ b/website/docs/reference/resource-configs/snowflake-configs.md @@ -435,21 +435,18 @@ Find more information about these parameters in the Snowflake docs: ### Target lag -Snowflake allows two configuration scenarios for scheduling automatic refreshes: time-based and dependency-based. -For time-based automatic refreshes, provide a value of the form ` { seconds | minutes | hours | days }`. -For example, if the dynamic table needs to be updated every 30 minutes, use `target_lag='30 minutes'`. -However, for scenarios where the referenced objects are themselves dynamic tables, it might be desirable to refresh -the dynamic table whenever the underlying dynamic table is refreshed. In this scenario, use `target_lag='downstream'`. -This allows for refresh schedules to be controlled once, at the source, instead of at each layer. +Snowflake allows two configuration scenarios for scheduling automatic refreshes: +- **Time-based** — Provide a value of the form ` { seconds | minutes | hours | days }`. For example, if the dynamic table needs to be updated every 30 minutes, use `target_lag='30 minutes'`. +- **Downstream** — For scenarios where the referenced objects are themselves dynamic tables, it might be desirable to refresh the dynamic table whenever the underlying dynamic table is refreshed. In this scenario, use `target_lag='downstream'`. This allows for refresh schedules to be controlled once, at the source, instead of at each layer. ### Limitations As with materialized views on most data platforms, there are limitations associated with dynamic tables. Some worth noting include: -- Dynamic table SQL has a [limited feature set](https://docs.snowflake.com/en/user-guide/dynamic-tables-tasks-create#query-constructs-not-currently-supported-in-dynamic-tables) -- Dynamic table SQL cannot be updated; the dynamic table must go through a `--full-refresh` (DROP/CREATE) -- Dynamic tables cannot be downstream from: materialized views, external tables, streams -- Dynamic tables cannot reference a view that is downstream from another dynamic table +- Dynamic table SQL has a [limited feature set](https://docs.snowflake.com/en/user-guide/dynamic-tables-tasks-create#query-constructs-not-currently-supported-in-dynamic-tables). +- Dynamic table SQL cannot be updated; the dynamic table must go through a `--full-refresh` (DROP/CREATE). +- Dynamic tables cannot be downstream from: materialized views, external tables, streams. +- Dynamic tables cannot reference a view that is downstream from another dynamic table. Find more information about dynamic table limitations in Snowflake's [docs](https://docs.snowflake.com/en/user-guide/dynamic-tables-tasks-create#dynamic-table-limitations-and-supported-functions). From 9923e29b4820d489aaaad4957e010d5639bcc93b Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Wed, 13 Dec 2023 13:24:38 -0500 Subject: [PATCH 128/134] Apply suggestions from code review --- 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 f610d19a346..b559c0451b0 100644 --- a/website/docs/reference/resource-configs/redshift-configs.md +++ b/website/docs/reference/resource-configs/redshift-configs.md @@ -202,7 +202,7 @@ models: Many of these parameters correspond to their table counterparts and have been linked above. -The parameters unique to materialized views are the auto-refresh and backup functionality, which are covered below. +The parameters unique to materialized views are the [auto-refresh](#auto-refresh) and [backup](#backup) functionality, which are covered below. Find more information about the [CREATE MATERIALIZED VIEW](https://docs.aws.amazon.com/redshift/latest/dg/materialized-view-create-sql-command.html) parameters in the Redshift docs. @@ -216,7 +216,7 @@ Redshift supports [automatic refresh](https://docs.aws.amazon.com/redshift/lates By default, a materialized view does not automatically refresh. dbt monitors this parameter for changes and applies them using an `ALTER` statement. -Find more information about the [parameters](https://docs.aws.amazon.com/redshift/latest/dg/materialized-view-create-sql-command.html#mv_CREATE_MATERIALIZED_VIEW-parameters) in the Redshift docs. +Learn more information about the [parameters](https://docs.aws.amazon.com/redshift/latest/dg/materialized-view-create-sql-command.html#mv_CREATE_MATERIALIZED_VIEW-parameters) in the Redshift docs. #### Backup @@ -230,7 +230,7 @@ By default, a materialized view will be backed up during a cluster snapshot. dbt cannot monitor this parameter as it is not queryable within Redshift. If the value is changed, the materialized view will need to go through a `--full-refresh` in order to set it. -Find more information about the [parameters](https://docs.aws.amazon.com/redshift/latest/dg/materialized-view-create-sql-command.html#mv_CREATE_MATERIALIZED_VIEW-parameters) in the Redshift docs. +Learn more about the [parameters](https://docs.aws.amazon.com/redshift/latest/dg/materialized-view-create-sql-command.html#mv_CREATE_MATERIALIZED_VIEW-parameters) in the Redshift docs. ### Limitations From b84b59eba4b990ef6ca4c1c883b658f0a3f34bd7 Mon Sep 17 00:00:00 2001 From: Mike Alfare Date: Wed, 13 Dec 2023 14:11:45 -0500 Subject: [PATCH 129/134] update downstream option for target_lag, fix external docs reference to be consistent --- .../docs/reference/resource-configs/snowflake-configs.md | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/website/docs/reference/resource-configs/snowflake-configs.md b/website/docs/reference/resource-configs/snowflake-configs.md index a24b072d39c..aa2bf370df6 100644 --- a/website/docs/reference/resource-configs/snowflake-configs.md +++ b/website/docs/reference/resource-configs/snowflake-configs.md @@ -430,14 +430,15 @@ models: -Find more information about these parameters in the Snowflake docs: -- [CREATE DYNAMIC TABLE](https://docs.snowflake.com/en/sql-reference/sql/create-dynamic-table) +Find more information about these parameters in Snowflake's [docs](https://docs.snowflake.com/en/sql-reference/sql/create-dynamic-table): ### Target lag Snowflake allows two configuration scenarios for scheduling automatic refreshes: - **Time-based** — Provide a value of the form ` { seconds | minutes | hours | days }`. For example, if the dynamic table needs to be updated every 30 minutes, use `target_lag='30 minutes'`. -- **Downstream** — For scenarios where the referenced objects are themselves dynamic tables, it might be desirable to refresh the dynamic table whenever the underlying dynamic table is refreshed. In this scenario, use `target_lag='downstream'`. This allows for refresh schedules to be controlled once, at the source, instead of at each layer. +- **Downstream** — Applicable when the dynamic table is referenced by other dynamic tables. In this scenario, `target_lag='downstream'` allows for refreshes to be controlled at the target, instead of at each layer. + +Find more information about `target_lag` in Snowflake's [docs](https://docs.snowflake.com/en/user-guide/dynamic-tables-refresh#understanding-target-lag). ### Limitations From 6ac9d633d37c75762bfff7a349a13ffbb72bf4fd Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Wed, 13 Dec 2023 14:14:16 -0500 Subject: [PATCH 130/134] Apply suggestions from code review --- website/docs/reference/resource-configs/postgres-configs.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/website/docs/reference/resource-configs/postgres-configs.md b/website/docs/reference/resource-configs/postgres-configs.md index c904802d598..c01ea9ea718 100644 --- a/website/docs/reference/resource-configs/postgres-configs.md +++ b/website/docs/reference/resource-configs/postgres-configs.md @@ -194,9 +194,9 @@ models: -The `indexes` parameter corresponds to that of a table, as linked above. -It's worth noting that, unlike with tables, dbt will monitor this parameter for changes and apply the changes without dropping the materialized view. -This happens via a `DROP/CREATE` of the indexes, which could be thought of as a `ALTER` of the materialized view. +The [`indexes`](#indexes) parameter corresponds to that of a table, as explained above. +It's worth noting that, unlike with tables, dbt monitors this parameter for changes and applies the changes without dropping the materialized view. +This happens via a `DROP/CREATE` of the indexes, which can be thought of as an `ALTER` of the materialized view. Find more information about materialized view parameters in the Postgres docs: - [CREATE MATERIALIZED VIEW](https://www.postgresql.org/docs/current/sql-creatematerializedview.html) From e4b780cefa4fd7852ca593488faed5c150beb7d3 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Wed, 13 Dec 2023 14:14:42 -0500 Subject: [PATCH 131/134] Update website/docs/reference/resource-configs/postgres-configs.md --- 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 c01ea9ea718..8465a5cbb31 100644 --- a/website/docs/reference/resource-configs/postgres-configs.md +++ b/website/docs/reference/resource-configs/postgres-configs.md @@ -195,7 +195,7 @@ models: The [`indexes`](#indexes) parameter corresponds to that of a table, as explained above. -It's worth noting that, unlike with tables, dbt monitors this parameter for changes and applies the changes without dropping the materialized view. +It's worth noting that, unlike tables, dbt monitors this parameter for changes and applies the changes without dropping the materialized view. This happens via a `DROP/CREATE` of the indexes, which can be thought of as an `ALTER` of the materialized view. Find more information about materialized view parameters in the Postgres docs: From 09c7e5023f71ad8fe888ee00fca191eed3d4c25b Mon Sep 17 00:00:00 2001 From: Doug Beatty <44704949+dbeatty10@users.noreply.github.com> Date: Wed, 13 Dec 2023 15:19:24 -0700 Subject: [PATCH 132/134] Too many backticks --- website/docs/reference/resource-configs/access.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/reference/resource-configs/access.md b/website/docs/reference/resource-configs/access.md index da50e48d2f0..fcde93647a1 100644 --- a/website/docs/reference/resource-configs/access.md +++ b/website/docs/reference/resource-configs/access.md @@ -27,7 +27,7 @@ You can apply access modifiers in config files, including `the dbt_project.yml`, There are multiple approaches to configuring access: -In the model configs of `dbt_project.yml``: +In the model configs of `dbt_project.yml`: ```yaml models: From a216a24c20cd299d8ffd91dcb267cc410e37ce0c Mon Sep 17 00:00:00 2001 From: Doug Beatty <44704949+dbeatty10@users.noreply.github.com> Date: Wed, 13 Dec 2023 16:09:12 -0700 Subject: [PATCH 133/134] Remove rogue hyperlink --- website/docs/reference/dbt-jinja-functions/config.md | 2 -- 1 file changed, 2 deletions(-) diff --git a/website/docs/reference/dbt-jinja-functions/config.md b/website/docs/reference/dbt-jinja-functions/config.md index c2fc8f96e5b..3903c82eef7 100644 --- a/website/docs/reference/dbt-jinja-functions/config.md +++ b/website/docs/reference/dbt-jinja-functions/config.md @@ -25,8 +25,6 @@ is responsible for handling model code that looks like this: ``` Review [Model configurations](/reference/model-configs) for examples and more information on valid arguments. -https://docs.getdbt.com/reference/model-configs - ## config.get __Args__: From e2e5630f0b51520addc95d5c5f3415d5f22da89c Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Wed, 13 Dec 2023 19:53:06 -0500 Subject: [PATCH 134/134] remove callout multi hop joins are supported now for the SL and MF so this pr removes callout that states multi hop joins aren't supported --- website/docs/docs/build/join-logic.md | 7 ------- 1 file changed, 7 deletions(-) diff --git a/website/docs/docs/build/join-logic.md b/website/docs/docs/build/join-logic.md index 9039822c9fd..29b9d101a59 100644 --- a/website/docs/docs/build/join-logic.md +++ b/website/docs/docs/build/join-logic.md @@ -84,10 +84,6 @@ mf query --metrics average_purchase_price --dimensions metric_time,user_id__type ## Multi-hop joins -:::info -This feature is currently in development and not currently available. -::: - MetricFlow allows users to join measures and dimensions across a graph of entities, which we refer to as a 'multi-hop join.' This is because users can move from one table to another like a 'hop' within a graph. Here's an example schema for reference: @@ -134,9 +130,6 @@ semantic_models: ### Query multi-hop joins -:::info -This feature is currently in development and not currently available. -::: To query dimensions _without_ a multi-hop join involved, you can use the fully qualified dimension name with the syntax entity double underscore (dunder) dimension, like `entity__dimension`.

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