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 01/35] 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 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 02/35] 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 03/35] 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 04/35] 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 05/35] 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 06/35] 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 07/35] 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 08/35] 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 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 09/35] 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 d468848bb6c59f2b09486a9a1c6e85c3a0b22a65 Mon Sep 17 00:00:00 2001 From: Aaron Bini Date: Mon, 4 Dec 2023 12:16:53 -0800 Subject: [PATCH 10/35] [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 11/35] 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 790f13abe7feadb2249e665f2c10344d7f07373a Mon Sep 17 00:00:00 2001 From: Ly Nguyen Date: Mon, 4 Dec 2023 15:33:56 -0800 Subject: [PATCH 12/35] 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 13/35] 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 14/35] 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 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 15/35] 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 9a034927f2647cd6c7d95511540a4b0e0eefee72 Mon Sep 17 00:00:00 2001 From: Ly Nguyen Date: Tue, 5 Dec 2023 09:55:04 -0800 Subject: [PATCH 16/35] 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 17/35] 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 2932198a7ada0b29c7eca9fd2e879d71f6608399 Mon Sep 17 00:00:00 2001 From: Florian Eiden Date: Tue, 5 Dec 2023 11:04:40 -0800 Subject: [PATCH 18/35] 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 19/35] 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 c9047178285e293d54ebe7e175d3509a6d124900 Mon Sep 17 00:00:00 2001 From: Pat Kearns Date: Wed, 6 Dec 2023 09:54:45 +1100 Subject: [PATCH 20/35] 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 21/35] 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 22/35] 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 23/35] 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 24/35] 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 025bbac6d50ad512388aa48b86778a7827e83801 Mon Sep 17 00:00:00 2001 From: Ly Nguyen Date: Wed, 6 Dec 2023 09:58:35 -0800 Subject: [PATCH 25/35] 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 26/35] 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 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 27/35] 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 4f19470fb6f3edc77e0f9f08a19754b9861d9a98 Mon Sep 17 00:00:00 2001 From: mirnawong1 Date: Thu, 7 Dec 2023 10:43:19 -0500 Subject: [PATCH 28/35] 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 29/35] 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 30/35] 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 31/35] 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 32/35] 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 6af6b86c69238fb276d57557db98c3c62df15da7 Mon Sep 17 00:00:00 2001 From: donataw-ps <88434079+donataw-ps@users.noreply.github.com> Date: Fri, 8 Dec 2023 11:32:25 +0000 Subject: [PATCH 33/35] 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 4f60817e258b7e50548a2cc8ab7611b7dae25e01 Mon Sep 17 00:00:00 2001 From: Shohei Hagiwara Date: Fri, 8 Dec 2023 21:16:50 +0900 Subject: [PATCH 34/35] 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 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 35/35] 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

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