From e79d4f0ed4066392825bdfb0ee73eda210efd246 Mon Sep 17 00:00:00 2001 From: Camille Kesser <101661315+camillek-db@users.noreply.github.com> Date: Thu, 30 Nov 2023 13:40:32 -0600 Subject: [PATCH 01/92] Fix z-order syntax --- website/docs/guides/dbt-models-on-databricks.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/guides/dbt-models-on-databricks.md b/website/docs/guides/dbt-models-on-databricks.md index 489a3c28467..283ef9b4ba4 100644 --- a/website/docs/guides/dbt-models-on-databricks.md +++ b/website/docs/guides/dbt-models-on-databricks.md @@ -72,7 +72,7 @@ Most compute engines work best when file sizes are between 32 MB and 256 MB. In Under the hood, Databricks will naturally [cluster data based on when it was ingested](https://www.databricks.com/blog/2022/11/18/introducing-ingestion-time-clustering-dbr-112.html). Since many queries include timestamps in `where` conditionals, this will naturally lead to a large amount of file skipping for enhanced performance. Nevertheless, if you have other high cardinality columns (basically columns with a large amount of distinct values such as id columns) that are frequently used in `join` keys or `where` conditionals, performance can typically be augmented further by leveraging Z-order. -The SQL syntax for the Z-Order command is `OPTIMIZE TABLE Z-ORDER BY (col1,col2,col3,etc)`. One caveat to be aware of is that you will rarely want to Z-Order by more than three columns. You will likely want to either run Z-order on run end after your model builds or run Z-Order as a separate scheduled job on a consistent cadence, whether it is daily, weekly, or monthly. +The SQL syntax for the Z-Order command is `OPTIMIZE table_name ZORDER BY (col1,col2,col3,etc)`. One caveat to be aware of is that you will rarely want to Z-Order by more than three columns. You will likely want to either run Z-order on run end after your model builds or run Z-Order as a separate scheduled job on a consistent cadence, whether it is daily, weekly, or monthly. ```sql config( From 3590022abfc320305002404e27a7d812965a3617 Mon Sep 17 00:00:00 2001 From: Ernesto Ongaro Date: Mon, 4 Dec 2023 11:56:34 +0000 Subject: [PATCH 02/92] 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 384066249358358a05dead9b6438369f9267b2da Mon Sep 17 00:00:00 2001 From: Mike Alfare Date: Mon, 4 Dec 2023 14:55:08 -0500 Subject: [PATCH 03/92] 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 2ccbc79b386aa9193357cb0ccbf643f4f55a1f19 Mon Sep 17 00:00:00 2001 From: Mike Alfare Date: Mon, 4 Dec 2023 17:27:58 -0500 Subject: [PATCH 04/92] 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 bf57f5102375efbb1cddd19bb11c519eaddf0cab Mon Sep 17 00:00:00 2001 From: Mike Alfare Date: Tue, 5 Dec 2023 12:31:58 -0500 Subject: [PATCH 05/92] 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 406b40851a34268a194b2ae0e15ca5c180c09e92 Mon Sep 17 00:00:00 2001 From: Mike Alfare Date: Tue, 5 Dec 2023 13:10:15 -0500 Subject: [PATCH 06/92] 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 07/92] 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 08/92] 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 09/92] 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 10/92] 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 11/92] 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 c42bc24c0d484a4d10ad93825c2e3b1500a378c5 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Tue, 5 Dec 2023 14:56:03 -0500 Subject: [PATCH 12/92] Changing `tests` to `data-tests` --- .../blog/2021-11-22-dbt-labs-pr-template.md | 2 +- website/blog/2021-11-22-primary-keys.md | 2 +- ...1-11-29-dbt-airflow-spiritual-alignment.md | 2 +- ...build-a-mature-dbt-project-from-scratch.md | 2 +- .../blog/2022-04-19-complex-deduplication.md | 2 +- website/blog/2022-09-28-analyst-to-ae.md | 2 +- .../best-practices/custom-generic-tests.md | 2 +- .../docs/build/{tests.md => data-tests.md} | 46 +++++++++---------- website/docs/docs/build/jinja-macros.md | 2 +- website/docs/docs/build/projects.md | 2 +- website/docs/docs/build/sources.md | 2 +- website/docs/docs/build/sql-models.md | 2 +- .../docs/docs/collaborate/documentation.md | 4 +- .../docs/docs/collaborate/explore-projects.md | 2 +- .../collaborate/govern/model-contracts.md | 2 +- .../03-upgrading-to-dbt-utils-v1.0.md | 2 +- .../core-upgrade/07-upgrading-to-v1.1.md | 2 +- .../core-upgrade/08-upgrading-to-v1.0.md | 2 +- .../core-upgrade/10-upgrading-to-v0.20.md | 6 +-- website/docs/docs/introduction.md | 2 +- .../faqs/Models/specifying-column-types.md | 2 +- .../faqs/Project/properties-not-in-config.md | 2 +- website/docs/faqs/Tests/available-tests.md | 2 +- .../docs/faqs/Tests/custom-test-thresholds.md | 2 +- website/docs/guides/building-packages.md | 2 +- website/docs/guides/dbt-python-snowpark.md | 2 +- ...oductionize-your-dbt-databricks-project.md | 2 +- website/docs/reference/commands/test.md | 2 +- .../docs/reference/configs-and-properties.md | 6 +-- .../{test-configs.md => data-test-configs.md} | 26 +++++------ website/docs/reference/dbt_project.yml.md | 6 +-- website/docs/reference/model-properties.md | 8 ++-- .../docs/reference/node-selection/methods.md | 2 +- .../reference/project-configs/test-paths.md | 2 +- .../docs/reference/resource-configs/alias.md | 2 +- .../reference/resource-configs/database.md | 2 +- .../docs/reference/resource-configs/meta.md | 2 +- .../resource-configs/store_failures_as.md | 4 +- .../reference/resource-properties/columns.md | 8 ++-- .../reference/resource-properties/config.md | 2 +- .../{tests.md => data-tests.md} | 38 +++++++-------- website/docs/reference/seed-properties.md | 4 +- website/docs/reference/snapshot-properties.md | 4 +- website/docs/reference/source-properties.md | 4 +- website/docs/terms/data-wrangling.md | 2 +- website/docs/terms/primary-key.md | 4 +- website/docs/terms/surrogate-key.md | 2 +- website/sidebars.js | 4 +- website/snippets/_run-result.md | 2 +- .../snippets/tutorial-add-tests-to-models.md | 2 +- 50 files changed, 121 insertions(+), 121 deletions(-) rename website/docs/docs/build/{tests.md => data-tests.md} (67%) rename website/docs/reference/{test-configs.md => data-test-configs.md} (87%) rename website/docs/reference/resource-properties/{tests.md => data-tests.md} (83%) diff --git a/website/blog/2021-11-22-dbt-labs-pr-template.md b/website/blog/2021-11-22-dbt-labs-pr-template.md index 40d4960ac18..439a02371ec 100644 --- a/website/blog/2021-11-22-dbt-labs-pr-template.md +++ b/website/blog/2021-11-22-dbt-labs-pr-template.md @@ -70,7 +70,7 @@ Checking for things like modularity and 1:1 relationships between sources and st #### Validation of models: -This section should show something to confirm that your model is doing what you intended it to do. This could be a [dbt test](/docs/build/tests) like uniqueness or not null, or could be an ad-hoc query that you wrote to validate your data. Here is a screenshot from a test run on a local development branch: +This section should show something to confirm that your model is doing what you intended it to do. This could be a [dbt test](/docs/build/data-tests) like uniqueness or not null, or could be an ad-hoc query that you wrote to validate your data. Here is a screenshot from a test run on a local development branch: ![test validation](/img/blog/pr-template-test-validation.png "dbt test validation") diff --git a/website/blog/2021-11-22-primary-keys.md b/website/blog/2021-11-22-primary-keys.md index 84c92055eb0..d5f87cddd94 100644 --- a/website/blog/2021-11-22-primary-keys.md +++ b/website/blog/2021-11-22-primary-keys.md @@ -51,7 +51,7 @@ In the days before testing your data was commonplace, you often found out that y ## How to test primary keys with dbt -Today, you can add two simple [dbt tests](/docs/build/tests) onto your primary keys and feel secure that you are going to catch the vast majority of problems in your data. +Today, you can add two simple [dbt tests](/docs/build/data-tests) onto your primary keys and feel secure that you are going to catch the vast majority of problems in your data. Not surprisingly, these two tests correspond to the two most common errors found on your primary keys, and are usually the first tests that teams testing data with dbt implement: diff --git a/website/blog/2021-11-29-dbt-airflow-spiritual-alignment.md b/website/blog/2021-11-29-dbt-airflow-spiritual-alignment.md index b179c0f5c7c..d20c7d139d0 100644 --- a/website/blog/2021-11-29-dbt-airflow-spiritual-alignment.md +++ b/website/blog/2021-11-29-dbt-airflow-spiritual-alignment.md @@ -90,7 +90,7 @@ So instead of getting bogged down in defining roles, let’s focus on hard skill The common skills needed for implementing any flavor of dbt (Core or Cloud) are: * SQL: ‘nuff said -* YAML: required to generate config files for [writing tests on data models](/docs/build/tests) +* YAML: required to generate config files for [writing tests on data models](/docs/build/data-tests) * [Jinja](/guides/using-jinja): allows you to write DRY code (using [macros](/docs/build/jinja-macros), for loops, if statements, etc) YAML + Jinja can be learned pretty quickly, but SQL is the non-negotiable you’ll need to get started. diff --git a/website/blog/2021-12-05-how-to-build-a-mature-dbt-project-from-scratch.md b/website/blog/2021-12-05-how-to-build-a-mature-dbt-project-from-scratch.md index 8ea387cf00c..f3a24a0febd 100644 --- a/website/blog/2021-12-05-how-to-build-a-mature-dbt-project-from-scratch.md +++ b/website/blog/2021-12-05-how-to-build-a-mature-dbt-project-from-scratch.md @@ -87,7 +87,7 @@ The most important thing we’re introducing when your project is an infant is t * Introduce modularity with [{{ ref() }}](/reference/dbt-jinja-functions/ref) and [{{ source() }}](/reference/dbt-jinja-functions/source) -* [Document](/docs/collaborate/documentation) and [test](/docs/build/tests) your first models +* [Document](/docs/collaborate/documentation) and [test](/docs/build/data-tests) your first models ![image alt text](/img/blog/building-a-mature-dbt-project-from-scratch/image_3.png) diff --git a/website/blog/2022-04-19-complex-deduplication.md b/website/blog/2022-04-19-complex-deduplication.md index daacff4eec6..f8cece85b61 100644 --- a/website/blog/2022-04-19-complex-deduplication.md +++ b/website/blog/2022-04-19-complex-deduplication.md @@ -146,7 +146,7 @@ select * from filter_real_diffs > *What happens in this step? You check your data because you are thorough!* -Good thing dbt has already built this for you. Add a [unique test](/docs/build/tests#generic-tests) to your YAML model block for your `grain_id` in this de-duped staging model, and give it a dbt test! +Good thing dbt has already built this for you. Add a [unique test](/docs/build/data-tests#generic-tests) to your YAML model block for your `grain_id` in this de-duped staging model, and give it a dbt test! ```yaml models: diff --git a/website/blog/2022-09-28-analyst-to-ae.md b/website/blog/2022-09-28-analyst-to-ae.md index 7c8ccaeabec..bf19bbae59e 100644 --- a/website/blog/2022-09-28-analyst-to-ae.md +++ b/website/blog/2022-09-28-analyst-to-ae.md @@ -111,7 +111,7 @@ The analyst caught the issue because they have the appropriate context to valida An analyst is able to identify which areas do *not* need to be 100% accurate, which means they can also identify which areas *do* need to be 100% accurate. -> dbt makes it very quick to add [data quality tests](/docs/build/tests). In fact, it’s so quick, that it’ll take an analyst longer to write up what tests they want than it would take for an analyst to completely finish coding them. +> dbt makes it very quick to add [data quality tests](/docs/build/data-tests). In fact, it’s so quick, that it’ll take an analyst longer to write up what tests they want than it would take for an analyst to completely finish coding them. When data quality issues are identified by the business, we often see that analysts are the first ones to be asked: diff --git a/website/docs/best-practices/custom-generic-tests.md b/website/docs/best-practices/custom-generic-tests.md index f2d84e38853..cd6dced8ad2 100644 --- a/website/docs/best-practices/custom-generic-tests.md +++ b/website/docs/best-practices/custom-generic-tests.md @@ -6,7 +6,7 @@ displayText: Writing custom generic tests hoverSnippet: Learn how to define your own custom generic tests. --- -dbt ships with [Not Null](/reference/resource-properties/tests#not-null), [Unique](/reference/resource-properties/tests#unique), [Relationships](/reference/resource-properties/tests#relationships), and [Accepted Values](/reference/resource-properties/tests#accepted-values) generic tests. (These used to be called "schema tests," and you'll still see that name in some places.) Under the hood, these generic tests are defined as `test` blocks (like macros) in a globally accessible dbt project. You can find the source code for these tests in the [global project](https://github.com/dbt-labs/dbt-core/tree/main/core/dbt/include/global_project/macros/generic_test_sql). +dbt ships with [Not Null](/reference/resource-properties/data-tests#not-null), [Unique](/reference/resource-properties/data-tests#unique), [Relationships](/reference/resource-properties/data-tests#relationships), and [Accepted Values](/reference/resource-properties/data-tests#accepted-values) generic tests. (These used to be called "schema tests," and you'll still see that name in some places.) Under the hood, these generic tests are defined as `test` blocks (like macros) in a globally accessible dbt project. You can find the source code for these tests in the [global project](https://github.com/dbt-labs/dbt-core/tree/main/core/dbt/include/global_project/macros/generic_test_sql). :::info There are tons of generic tests defined in open source packages, such as [dbt-utils](https://hub.getdbt.com/dbt-labs/dbt_utils/latest/) and [dbt-expectations](https://hub.getdbt.com/calogica/dbt_expectations/latest/) — the test you're looking for might already be here! diff --git a/website/docs/docs/build/tests.md b/website/docs/docs/build/data-tests.md similarity index 67% rename from website/docs/docs/build/tests.md rename to website/docs/docs/build/data-tests.md index 3d86dc6a81b..a63b25dffca 100644 --- a/website/docs/docs/build/tests.md +++ b/website/docs/docs/build/data-tests.md @@ -1,41 +1,41 @@ --- -title: "Add tests to your DAG" -sidebar_label: "Tests" -description: "Read this tutorial to learn how to use tests when building in dbt." +title: "Add data tests to your DAG" +sidebar_label: "Data tests" +description: "Read this tutorial to learn how to use data tests when building in dbt." search_weight: "heavy" -id: "tests" +id: "data-tests" keywords: - test, tests, testing, dag --- ## Related reference docs * [Test command](/reference/commands/test) -* [Test properties](/reference/resource-properties/tests) -* [Test configurations](/reference/test-configs) +* [Data test properties](/reference/resource-properties/data-tests) +* [Data test configurations](/reference/data-test-configs) * [Test selection examples](/reference/node-selection/test-selection-examples) ## Overview -Tests are assertions you make about your models and other resources in your dbt project (e.g. sources, seeds and snapshots). When you run `dbt test`, dbt will tell you if each test in your project passes or fails. +Data tests are assertions you make about your models and other resources in your dbt project (e.g. sources, seeds and snapshots). When you run `dbt test`, dbt will tell you if each test in your project passes or fails. -You can use tests to improve the integrity of the SQL in each model by making assertions about the results generated. Out of the box, you can test whether a specified column in a model only contains non-null values, unique values, or values that have a corresponding value in another model (for example, a `customer_id` for an `order` corresponds to an `id` in the `customers` model), and values from a specified list. You can extend tests to suit business logic specific to your organization – any assertion that you can make about your model in the form of a select query can be turned into a test. +You can use data tests to improve the integrity of the SQL in each model by making assertions about the results generated. Out of the box, you can test whether a specified column in a model only contains non-null values, unique values, or values that have a corresponding value in another model (for example, a `customer_id` for an `order` corresponds to an `id` in the `customers` model), and values from a specified list. You can extend data tests to suit business logic specific to your organization – any assertion that you can make about your model in the form of a select query can be turned into a data test. -Both types of tests return a set of failing records. Previously, generic/schema tests returned a numeric value representing failures. Generic tests (f.k.a. schema tests) are defined using `test` blocks instead of macros prefixed `test_`. +Both types of tests return a set of failing records. Previously, generic/schema tests returned a numeric value representing failures. Generic data tests (f.k.a. schema tests) are defined using `test` blocks instead of macros prefixed `test_`. -Like almost everything in dbt, tests are SQL queries. In particular, they are `select` statements that seek to grab "failing" records, ones that disprove your assertion. If you assert that a column is unique in a model, the test query selects for duplicates; if you assert that a column is never null, the test seeks after nulls. If the test returns zero failing rows, it passes, and your assertion has been validated. +Like almost everything in dbt, data tests are SQL queries. In particular, they are `select` statements that seek to grab "failing" records, ones that disprove your assertion. If you assert that a column is unique in a model, the test query selects for duplicates; if you assert that a column is never null, the test seeks after nulls. If the test returns zero failing rows, it passes, and your assertion has been validated. -There are two ways of defining tests in dbt: +There are two ways of defining data tests in dbt: * A **singular** test is testing in its simplest form: If you can write a SQL query that returns failing rows, you can save that query in a `.sql` file within your [test directory](/reference/project-configs/test-paths). It's now a test, and it will be executed by the `dbt test` command. * A **generic** test is a parameterized query that accepts arguments. The test query is defined in a special `test` block (like a [macro](jinja-macros)). Once defined, you can reference the generic test by name throughout your `.yml` files—define it on models, columns, sources, snapshots, and seeds. dbt ships with four generic tests built in, and we think you should use them! -Defining tests is a great way to confirm that your code is working correctly, and helps prevent regressions when your code changes. Because you can use them over and over again, making similar assertions with minor variations, generic tests tend to be much more common—they should make up the bulk of your dbt testing suite. That said, both ways of defining tests have their time and place. +Defining data tests is a great way to confirm that your code is working correctly, and helps prevent regressions when your code changes. Because you can use them over and over again, making similar assertions with minor variations, generic data tests tend to be much more common—they should make up the bulk of your dbt testing suite. That said, both ways of defining data tests have their time and place. -:::tip Creating your first tests +:::tip Creating your first data tests If you're new to dbt, we recommend that you check out our [quickstart guide](/guides) to build your first dbt project with models and tests. ::: -## Singular tests +## Singular data tests -The simplest way to define a test is by writing the exact SQL that will return failing records. We call these "singular" tests, because they're one-off assertions usable for a single purpose. +The simplest way to define a data test is by writing the exact SQL that will return failing records. We call these "singular" tests, because they're one-off assertions usable for a single purpose. These tests are defined in `.sql` files, typically in your `tests` directory (as defined by your [`test-paths` config](/reference/project-configs/test-paths)). You can use Jinja (including `ref` and `source`) in the test definition, just like you can when creating models. Each `.sql` file contains one `select` statement, and it defines one test: @@ -56,10 +56,10 @@ having not(total_amount >= 0) The name of this test is the name of the file: `assert_total_payment_amount_is_positive`. Simple enough. -Singular tests are easy to write—so easy that you may find yourself writing the same basic structure over and over, only changing the name of a column or model. By that point, the test isn't so singular! In that case, we recommend... +Singular data tests are easy to write—so easy that you may find yourself writing the same basic structure over and over, only changing the name of a column or model. By that point, the test isn't so singular! In that case, we recommend... ## Generic tests -Certain tests are generic: they can be reused over and over again. A generic test is defined in a `test` block, which contains a parametrized query and accepts arguments. It might look like: +Certain data tests are generic: they can be reused over and over again. A generic test is defined in a `test` block, which contains a parametrized query and accepts arguments. It might look like: ```sql {% test not_null(model, column_name) %} @@ -77,7 +77,7 @@ You'll notice that there are two arguments, `model` and `column_name`, which are If this is your first time working with adding properties to a resource, check out the docs on [declaring properties](/reference/configs-and-properties). ::: -Out of the box, dbt ships with four generic tests already defined: `unique`, `not_null`, `accepted_values` and `relationships`. Here's a full example using those tests on an `orders` model: +Out of the box, dbt ships with four generic data tests already defined: `unique`, `not_null`, `accepted_values` and `relationships`. Here's a full example using those tests on an `orders` model: ```yml version: 2 @@ -100,17 +100,17 @@ models: field: id ``` -In plain English, these tests translate to: +In plain English, these data tests translate to: * `unique`: the `order_id` column in the `orders` model should be unique * `not_null`: the `order_id` column in the `orders` model should not contain null values * `accepted_values`: the `status` column in the `orders` should be one of `'placed'`, `'shipped'`, `'completed'`, or `'returned'` * `relationships`: each `customer_id` in the `orders` model exists as an `id` in the `customers` (also known as referential integrity) -Behind the scenes, dbt constructs a `select` query for each test, using the parametrized query from the generic test block. These queries return the rows where your assertion is _not_ true; if the test returns zero rows, your assertion passes. +Behind the scenes, dbt constructs a `select` query for each data test, using the parametrized query from the generic test block. These queries return the rows where your assertion is _not_ true; if the test returns zero rows, your assertion passes. -You can find more information about these tests, and additional configurations (including [`severity`](/reference/resource-configs/severity) and [`tags`](/reference/resource-configs/tags)) in the [reference section](/reference/resource-properties/tests). +You can find more information about these tests, and additional configurations (including [`severity`](/reference/resource-configs/severity) and [`tags`](/reference/resource-configs/tags)) in the [reference section](/reference/resource-properties/data-tests). -### More generic tests +### More generic data tests Those four tests are enough to get you started. You'll quickly find you want to use a wider variety of tests—a good thing! You can also install generic tests from a package, or write your own, to use (and reuse) across your dbt project. Check out the [guide on custom generic tests](/best-practices/writing-custom-generic-tests) for more information. @@ -241,7 +241,7 @@ where {{ column_name }} is null ## Storing test failures -Normally, a test query will calculate failures as part of its execution. If you set the optional `--store-failures` flag, the [`store_failures`](/reference/resource-configs/store_failures), or the [`store_failures_as`](/reference/resource-configs/store_failures_as) configs, dbt will first save the results of a test query to a table in the database, and then query that table to calculate the number of failures. +Normally, a data test query will calculate failures as part of its execution. If you set the optional `--store-failures` flag, the [`store_failures`](/reference/resource-configs/store_failures), or the [`store_failures_as`](/reference/resource-configs/store_failures_as) configs, dbt will first save the results of a test query to a table in the database, and then query that table to calculate the number of failures. This workflow allows you to query and examine failing records much more quickly in development: diff --git a/website/docs/docs/build/jinja-macros.md b/website/docs/docs/build/jinja-macros.md index 135db740f75..074e648d410 100644 --- a/website/docs/docs/build/jinja-macros.md +++ b/website/docs/docs/build/jinja-macros.md @@ -23,7 +23,7 @@ Using Jinja turns your dbt project into a programming environment for SQL, givin In fact, if you've used the [`{{ ref() }}` function](/reference/dbt-jinja-functions/ref), you're already using Jinja! -Jinja can be used in any SQL in a dbt project, including [models](/docs/build/sql-models), [analyses](/docs/build/analyses), [tests](/docs/build/tests), and even [hooks](/docs/build/hooks-operations). +Jinja can be used in any SQL in a dbt project, including [models](/docs/build/sql-models), [analyses](/docs/build/analyses), [tests](/docs/build/data-tests), and even [hooks](/docs/build/hooks-operations). :::info Ready to get started with Jinja and macros? diff --git a/website/docs/docs/build/projects.md b/website/docs/docs/build/projects.md index a54f6042cce..d268ec09920 100644 --- a/website/docs/docs/build/projects.md +++ b/website/docs/docs/build/projects.md @@ -14,7 +14,7 @@ At a minimum, all a project needs is the `dbt_project.yml` project configuration | [models](/docs/build/models) | Each model lives in a single file and contains logic that either transforms raw data into a dataset that is ready for analytics or, more often, is an intermediate step in such a transformation. | | [snapshots](/docs/build/snapshots) | A way to capture the state of your mutable tables so you can refer to it later. | | [seeds](/docs/build/seeds) | CSV files with static data that you can load into your data platform with dbt. | -| [tests](/docs/build/tests) | SQL queries that you can write to test the models and resources in your project. | +| [tests](/docs/build/data-tests) | SQL queries that you can write to test the models and resources in your project. | | [macros](/docs/build/jinja-macros) | Blocks of code that you can reuse multiple times. | | [docs](/docs/collaborate/documentation) | Docs for your project that you can build. | | [sources](/docs/build/sources) | A way to name and describe the data loaded into your warehouse by your Extract and Load tools. | diff --git a/website/docs/docs/build/sources.md b/website/docs/docs/build/sources.md index a657b6257c9..ae6024a3e58 100644 --- a/website/docs/docs/build/sources.md +++ b/website/docs/docs/build/sources.md @@ -91,7 +91,7 @@ You can also: - Add tests to sources - Add descriptions to sources, that get rendered as part of your documentation site -These should be familiar concepts if you've already added tests and descriptions to your models (if not check out the guides on [testing](/docs/build/tests) and [documentation](/docs/collaborate/documentation)). +These should be familiar concepts if you've already added tests and descriptions to your models (if not check out the guides on [testing](/docs/build/data-tests) and [documentation](/docs/collaborate/documentation)). diff --git a/website/docs/docs/build/sql-models.md b/website/docs/docs/build/sql-models.md index 237ac84c0c2..a0dd174278b 100644 --- a/website/docs/docs/build/sql-models.md +++ b/website/docs/docs/build/sql-models.md @@ -262,7 +262,7 @@ Additionally, the `ref` function encourages you to write modular transformations ## Testing and documenting models -You can also document and test models — skip ahead to the section on [testing](/docs/build/tests) and [documentation](/docs/collaborate/documentation) for more information. +You can also document and test models — skip ahead to the section on [testing](/docs/build/data-tests) and [documentation](/docs/collaborate/documentation) for more information. ## Additional FAQs diff --git a/website/docs/docs/collaborate/documentation.md b/website/docs/docs/collaborate/documentation.md index 16a4e610c70..1a989806851 100644 --- a/website/docs/docs/collaborate/documentation.md +++ b/website/docs/docs/collaborate/documentation.md @@ -15,7 +15,7 @@ pagination_prev: null ## Assumed knowledge -* [Tests](/docs/build/tests) +* [Tests](/docs/build/data-tests) ## Overview @@ -32,7 +32,7 @@ Here's an example docs site: ## Adding descriptions to your project -To add descriptions to your project, use the `description:` key in the same files where you declare [tests](/docs/build/tests), like so: +To add descriptions to your project, use the `description:` key in the same files where you declare [tests](/docs/build/data-tests), like so: diff --git a/website/docs/docs/collaborate/explore-projects.md b/website/docs/docs/collaborate/explore-projects.md index 78fe6f45cc7..ed5dee93317 100644 --- a/website/docs/docs/collaborate/explore-projects.md +++ b/website/docs/docs/collaborate/explore-projects.md @@ -149,7 +149,7 @@ An example of the details you might get for a model: - **Lineage** graph — The model’s lineage graph that you can interact with. The graph includes one parent node and one child node from the model. Click the Expand icon in the graph's upper right corner to view the model in full lineage graph mode. - **Description** section — A [description of the model](/docs/collaborate/documentation#adding-descriptions-to-your-project). - **Recent** section — Information on the last time the model ran, how long it ran for, whether the run was successful, the job ID, and the run ID. - - **Tests** section — [Tests](/docs/build/tests) for the model, including a status indicator for the latest test status. A :white_check_mark: denotes a passing test. + - **Tests** section — [Tests](/docs/build/data-tests) for the model, including a status indicator for the latest test status. A :white_check_mark: denotes a passing test. - **Details** section — Key properties like the model’s relation name (for example, how it’s represented and how you can query it in the data platform: `database.schema.identifier`); model governance attributes like access, group, and if contracted; and more. - **Relationships** section — The nodes the model **Depends On**, is **Referenced by**, and (if applicable) is **Used by** for projects that have declared the models' project as a dependency. - **Code** tab — The source code and compiled code for the model. diff --git a/website/docs/docs/collaborate/govern/model-contracts.md b/website/docs/docs/collaborate/govern/model-contracts.md index 342d86c1a77..a083c3e6d2b 100644 --- a/website/docs/docs/collaborate/govern/model-contracts.md +++ b/website/docs/docs/collaborate/govern/model-contracts.md @@ -183,7 +183,7 @@ Any model meeting the criteria described above _can_ define a contract. We recom A model's contract defines the **shape** of the returned dataset. If the model's logic or input data doesn't conform to that shape, the model does not build. -[Tests](/docs/build/tests) are a more flexible mechanism for validating the content of your model _after_ it's built. So long as you can write the query, you can run the test. Tests are more configurable, such as with [custom severity thresholds](/reference/resource-configs/severity). They are easier to debug after finding failures, because you can query the already-built model, or [store the failing records in the data warehouse](/reference/resource-configs/store_failures). +[Tests](/docs/build/data-tests) are a more flexible mechanism for validating the content of your model _after_ it's built. So long as you can write the query, you can run the test. Tests are more configurable, such as with [custom severity thresholds](/reference/resource-configs/severity). They are easier to debug after finding failures, because you can query the already-built model, or [store the failing records in the data warehouse](/reference/resource-configs/store_failures). In some cases, you can replace a test with its equivalent constraint. This has the advantage of guaranteeing the validation at build time, and it probably requires less compute (cost) in your data platform. The prerequisites for replacing a test with a constraint are: - Making sure that your data platform can support and enforce the constraint that you need. Most platforms only enforce `not_null`. diff --git a/website/docs/docs/dbt-versions/core-upgrade/03-upgrading-to-dbt-utils-v1.0.md b/website/docs/docs/dbt-versions/core-upgrade/03-upgrading-to-dbt-utils-v1.0.md index a7b302c9a58..229a54627fc 100644 --- a/website/docs/docs/dbt-versions/core-upgrade/03-upgrading-to-dbt-utils-v1.0.md +++ b/website/docs/docs/dbt-versions/core-upgrade/03-upgrading-to-dbt-utils-v1.0.md @@ -82,7 +82,7 @@ models: # ...with this... where: "created_at > '2018-12-31'" ``` -**Note** — This may cause some tests to get the same autogenerated names. To resolve this, you can [define a custom name for a test](/reference/resource-properties/tests#define-a-custom-name-for-one-test). +**Note** — This may cause some tests to get the same autogenerated names. To resolve this, you can [define a custom name for a test](/reference/resource-properties/data-tests#define-a-custom-name-for-one-test). - The deprecated `unique_where` and `not_null_where` tests have been removed, because [where is now available natively to all tests](https://docs.getdbt.com/reference/resource-configs/where). To migrate, find and replace `dbt_utils.unique_where` with `unique` and `dbt_utils.not_null_where` with `not_null`. - `dbt_utils.current_timestamp()` is replaced by `dbt.current_timestamp()`. - Note that Postgres and Snowflake’s implementation of `dbt.current_timestamp()` differs from the old `dbt_utils` one ([full details here](https://github.com/dbt-labs/dbt-utils/pull/597#issuecomment-1231074577)). If you use Postgres or Snowflake and need identical backwards-compatible behavior, use `dbt.current_timestamp_backcompat()`. This discrepancy will hopefully be reconciled in a future version of dbt Core. diff --git a/website/docs/docs/dbt-versions/core-upgrade/07-upgrading-to-v1.1.md b/website/docs/docs/dbt-versions/core-upgrade/07-upgrading-to-v1.1.md index 12f0f42354a..868f3c7ed04 100644 --- a/website/docs/docs/dbt-versions/core-upgrade/07-upgrading-to-v1.1.md +++ b/website/docs/docs/dbt-versions/core-upgrade/07-upgrading-to-v1.1.md @@ -43,7 +43,7 @@ Expected a schema version of "https://schemas.getdbt.com/dbt/manifest/v5.json" i [**Incremental models**](/docs/build/incremental-models) can now accept a list of multiple columns as their `unique_key`, for models that need a combination of columns to uniquely identify each row. This is supported by the most common data warehouses, for incremental strategies that make use of the `unique_key` config (`merge` and `delete+insert`). -[**Generic tests**](/reference/resource-properties/tests) can define custom names. This is useful to "prettify" the synthetic name that dbt applies automatically. It's needed to disambiguate the case when the same generic test is defined multiple times with different configurations. +[**Generic tests**](/reference/resource-properties/data-tests) can define custom names. This is useful to "prettify" the synthetic name that dbt applies automatically. It's needed to disambiguate the case when the same generic test is defined multiple times with different configurations. [**Sources**](/reference/source-properties) can define configuration inline with other `.yml` properties, just like other resource types. The only supported config is `enabled`; you can use this to dynamically enable/disable sources based on environment or package variables. diff --git a/website/docs/docs/dbt-versions/core-upgrade/08-upgrading-to-v1.0.md b/website/docs/docs/dbt-versions/core-upgrade/08-upgrading-to-v1.0.md index 6e437638ef6..0460186551d 100644 --- a/website/docs/docs/dbt-versions/core-upgrade/08-upgrading-to-v1.0.md +++ b/website/docs/docs/dbt-versions/core-upgrade/08-upgrading-to-v1.0.md @@ -34,7 +34,7 @@ dbt Core major version 1.0 includes a number of breaking changes! Wherever possi ### Tests -The two **test types** are now "singular" and "generic" (instead of "data" and "schema", respectively). The `test_type:` selection method accepts `test_type:singular` and `test_type:generic`. (It will also accept `test_type:schema` and `test_type:data` for backwards compatibility.) **Not backwards compatible:** The `--data` and `--schema` flags to dbt test are no longer supported, and tests no longer have the tags `'data'` and `'schema'` automatically applied. Updated docs: [tests](/docs/build/tests), [test selection](/reference/node-selection/test-selection-examples), [selection methods](/reference/node-selection/methods). +The two **test types** are now "singular" and "generic" (instead of "data" and "schema", respectively). The `test_type:` selection method accepts `test_type:singular` and `test_type:generic`. (It will also accept `test_type:schema` and `test_type:data` for backwards compatibility.) **Not backwards compatible:** The `--data` and `--schema` flags to dbt test are no longer supported, and tests no longer have the tags `'data'` and `'schema'` automatically applied. Updated docs: [tests](/docs/build/data-tests), [test selection](/reference/node-selection/test-selection-examples), [selection methods](/reference/node-selection/methods). The `greedy` flag/property has been renamed to **`indirect_selection`**, which is now eager by default. **Note:** This reverts test selection to its pre-v0.20 behavior by default. `dbt test -s my_model` _will_ select multi-parent tests, such as `relationships`, that depend on unselected resources. To achieve the behavior change in v0.20 + v0.21, set `--indirect-selection=cautious` on the CLI or `indirect_selection: cautious` in YAML selectors. Updated docs: [test selection examples](/reference/node-selection/test-selection-examples), [yaml selectors](/reference/node-selection/yaml-selectors). diff --git a/website/docs/docs/dbt-versions/core-upgrade/10-upgrading-to-v0.20.md b/website/docs/docs/dbt-versions/core-upgrade/10-upgrading-to-v0.20.md index 9ff5695d5dc..be6054087b3 100644 --- a/website/docs/docs/dbt-versions/core-upgrade/10-upgrading-to-v0.20.md +++ b/website/docs/docs/dbt-versions/core-upgrade/10-upgrading-to-v0.20.md @@ -29,9 +29,9 @@ dbt Core v0.20 has reached the end of critical support. No new patch versions wi ### Tests -- [Building a dbt Project: tests](/docs/build/tests) -- [Test Configs](/reference/test-configs) -- [Test properties](/reference/resource-properties/tests) +- [Building a dbt Project: tests](/docs/build/data-tests) +- [Test Configs](/reference/data-test-configs) +- [Test properties](/reference/resource-properties/data-tests) - [Node Selection](/reference/node-selection/syntax) (with updated [test selection examples](/reference/node-selection/test-selection-examples)) - [Writing custom generic tests](/best-practices/writing-custom-generic-tests) diff --git a/website/docs/docs/introduction.md b/website/docs/docs/introduction.md index c575a9ae657..08564aeb2f0 100644 --- a/website/docs/docs/introduction.md +++ b/website/docs/docs/introduction.md @@ -56,7 +56,7 @@ As a dbt user, your main focus will be on writing models (i.e. select queries) t | Use a code compiler | SQL files can contain Jinja, a lightweight templating language. Using Jinja in SQL provides a way to use control structures in your queries. For example, `if` statements and `for` loops. It also enables repeated SQL to be shared through `macros`. Read more about [Macros](/docs/build/jinja-macros).| | Determine the order of model execution | Often, when transforming data, it makes sense to do so in a staged approach. dbt provides a mechanism to implement transformations in stages through the [ref function](/reference/dbt-jinja-functions/ref). Rather than selecting from existing tables and views in your warehouse, you can select from another model.| | Document your dbt project | dbt provides a mechanism to write, version-control, and share documentation for your dbt models. You can write descriptions (in plain text or markdown) for each model and field. In dbt Cloud, you can auto-generate the documentation when your dbt project runs. Read more about the [Documentation](/docs/collaborate/documentation).| -| Test your models | Tests provide a way to improve the integrity of the SQL in each model by making assertions about the results generated by a model. Read more about writing tests for your models [Testing](/docs/build/tests)| +| Test your models | Tests provide a way to improve the integrity of the SQL in each model by making assertions about the results generated by a model. Read more about writing tests for your models [Testing](/docs/build/data-tests)| | Manage packages | dbt ships with a package manager, which allows analysts to use and publish both public and private repositories of dbt code which can then be referenced by others. Read more about [Package Management](/docs/build/packages). | | Load seed files| Often in analytics, raw values need to be mapped to a more readable value (for example, converting a country-code to a country name) or enriched with static or infrequently changing data. These data sources, known as seed files, can be saved as a CSV file in your `project` and loaded into your data warehouse using the `seed` command. Read more about [Seeds](/docs/build/seeds).| | Snapshot data | Often, records in a data source are mutable, in that they change over time. This can be difficult to handle in analytics if you want to reconstruct historic values. dbt provides a mechanism to snapshot raw data for a point in time, through use of [snapshots](/docs/build/snapshots).| diff --git a/website/docs/faqs/Models/specifying-column-types.md b/website/docs/faqs/Models/specifying-column-types.md index 8e8379c4ec1..ff29085f160 100644 --- a/website/docs/faqs/Models/specifying-column-types.md +++ b/website/docs/faqs/Models/specifying-column-types.md @@ -38,6 +38,6 @@ So long as your model queries return the correct column type, the table you crea To define additional column options: -* Rather than enforcing uniqueness and not-null constraints on your column, use dbt's [testing](/docs/build/tests) functionality to check that your assertions about your model hold true. +* Rather than enforcing uniqueness and not-null constraints on your column, use dbt's [testing](/docs/build/data-tests) functionality to check that your assertions about your model hold true. * Rather than creating default values for a column, use SQL to express defaults (e.g. `coalesce(updated_at, current_timestamp()) as updated_at`) * In edge-cases where you _do_ need to alter a column (e.g. column-level encoding on Redshift), consider implementing this via a [post-hook](/reference/resource-configs/pre-hook-post-hook). diff --git a/website/docs/faqs/Project/properties-not-in-config.md b/website/docs/faqs/Project/properties-not-in-config.md index d1aea32b687..76de58404a9 100644 --- a/website/docs/faqs/Project/properties-not-in-config.md +++ b/website/docs/faqs/Project/properties-not-in-config.md @@ -16,7 +16,7 @@ Certain properties are special, because: These properties are: - [`description`](/reference/resource-properties/description) -- [`tests`](/reference/resource-properties/tests) +- [`tests`](/reference/resource-properties/data-tests) - [`docs`](/reference/resource-configs/docs) - `columns` - [`quote`](/reference/resource-properties/quote) diff --git a/website/docs/faqs/Tests/available-tests.md b/website/docs/faqs/Tests/available-tests.md index f08e6841bd0..225331d2256 100644 --- a/website/docs/faqs/Tests/available-tests.md +++ b/website/docs/faqs/Tests/available-tests.md @@ -12,6 +12,6 @@ Out of the box, dbt ships with the following tests: * `accepted_values` * `relationships` (i.e. referential integrity) -You can also write your own [custom schema tests](/docs/build/tests). +You can also write your own [custom schema tests](/docs/build/data-tests). Some additional custom schema tests have been open-sourced in the [dbt-utils package](https://github.com/dbt-labs/dbt-utils/tree/0.2.4/#schema-tests), check out the docs on [packages](/docs/build/packages) to learn how to make these tests available in your project. diff --git a/website/docs/faqs/Tests/custom-test-thresholds.md b/website/docs/faqs/Tests/custom-test-thresholds.md index 34d2eec7494..400a5b4e28b 100644 --- a/website/docs/faqs/Tests/custom-test-thresholds.md +++ b/website/docs/faqs/Tests/custom-test-thresholds.md @@ -10,5 +10,5 @@ As of `v0.20.0`, you can use the `error_if` and `warn_if` configs to set custom For dbt `v0.19.0` and earlier, you could try these possible solutions: -* Setting the [severity](/reference/resource-properties/tests#severity) to `warn`, or: +* Setting the [severity](/reference/resource-properties/data-tests#severity) to `warn`, or: * Writing a [custom generic test](/best-practices/writing-custom-generic-tests) that accepts a threshold argument ([example](https://discourse.getdbt.com/t/creating-an-error-threshold-for-schema-tests/966)) diff --git a/website/docs/guides/building-packages.md b/website/docs/guides/building-packages.md index 641a1c6af6d..55f0c2ed912 100644 --- a/website/docs/guides/building-packages.md +++ b/website/docs/guides/building-packages.md @@ -104,7 +104,7 @@ dbt makes it possible for users of your package to override your model properties defined in a `.yml` file --> config defined in the project file. -Note - Generic tests work a little differently when it comes to specificity. See [test configs](/reference/test-configs). +Note - Generic tests work a little differently when it comes to specificity. See [test configs](/reference/data-test-configs). Within the project file, configurations are also applied hierarchically. The most specific config always "wins": In the project file, configurations applied to a `marketing` subdirectory will take precedence over configurations applied to the entire `jaffle_shop` project. To apply a configuration to a model, or directory of models, define the resource path as nested dictionary keys. @@ -76,7 +76,7 @@ Certain properties are special, because: These properties are: - [`description`](/reference/resource-properties/description) -- [`tests`](/reference/resource-properties/tests) +- [`tests`](/reference/resource-properties/data-tests) - [`docs`](/reference/resource-configs/docs) - [`columns`](/reference/resource-properties/columns) - [`quote`](/reference/resource-properties/quote) diff --git a/website/docs/reference/test-configs.md b/website/docs/reference/data-test-configs.md similarity index 87% rename from website/docs/reference/test-configs.md rename to website/docs/reference/data-test-configs.md index 960e8d5471a..13154832cef 100644 --- a/website/docs/reference/test-configs.md +++ b/website/docs/reference/data-test-configs.md @@ -1,8 +1,8 @@ --- -title: Test configurations -description: "Read this guide to learn about using test configurations in dbt." +title: Data test configurations +description: "Read this guide to learn about using data test configurations in dbt." meta: - resource_type: Tests + resource_type: Data tests --- import ConfigResource from '/snippets/_config-description-resource.md'; import ConfigGeneral from '/snippets/_config-description-general.md'; @@ -10,20 +10,20 @@ import ConfigGeneral from '/snippets/_config-description-general.md'; ## Related documentation -* [Tests](/docs/build/tests) +* [Data tests](/docs/build/data-tests) -Tests can be configured in a few different ways: -1. Properties within `.yml` definition (generic tests only, see [test properties](/reference/resource-properties/tests) for full syntax) +Data tests can be configured in a few different ways: +1. Properties within `.yml` definition (generic tests only, see [test properties](/reference/resource-properties/data-tests) for full syntax) 2. A `config()` block within the test's SQL definition 3. In `dbt_project.yml` -Test configs are applied hierarchically, in the order of specificity outlined above. In the case of a singular test, the `config()` block within the SQL definition takes precedence over configs in the project file. In the case of a specific instance of a generic test, the test's `.yml` properties would take precedence over any values set in its generic SQL definition's `config()`, which in turn would take precedence over values set in `dbt_project.yml`. +Data test configs are applied hierarchically, in the order of specificity outlined above. In the case of a singular test, the `config()` block within the SQL definition takes precedence over configs in the project file. In the case of a specific instance of a generic test, the test's `.yml` properties would take precedence over any values set in its generic SQL definition's `config()`, which in turn would take precedence over values set in `dbt_project.yml`. ## Available configurations Click the link on each configuration option to read more about what it can do. -### Test-specific configurations +### Data test-specific configurations @@ -204,7 +204,7 @@ version: 2 [alias](/reference/resource-configs/alias): ``` -This configuration mechanism is supported for specific instances of generic tests only. To configure a specific singular test, you should use the `config()` macro in its SQL definition. +This configuration mechanism is supported for specific instances of generic data tests only. To configure a specific singular test, you should use the `config()` macro in its SQL definition. @@ -216,7 +216,7 @@ This configuration mechanism is supported for specific instances of generic test #### Add a tag to one test -If a specific instance of a generic test: +If a specific instance of a generic data test: @@ -232,7 +232,7 @@ models: -If a singular test: +If a singular data test: @@ -244,7 +244,7 @@ select ... -#### Set the default severity for all instances of a generic test +#### Set the default severity for all instances of a generic data test @@ -260,7 +260,7 @@ select ... -#### Disable all tests from a package +#### Disable alldata tests from a package diff --git a/website/docs/reference/dbt_project.yml.md b/website/docs/reference/dbt_project.yml.md index 34af0f696c7..7b5d54c3e03 100644 --- a/website/docs/reference/dbt_project.yml.md +++ b/website/docs/reference/dbt_project.yml.md @@ -81,7 +81,7 @@ sources: [](source-configs) tests: - [](/reference/test-configs) + [](/reference/data-test-configs) vars: [](/docs/build/project-variables) @@ -153,7 +153,7 @@ sources: [](source-configs) tests: - [](/reference/test-configs) + [](/reference/data-test-configs) vars: [](/docs/build/project-variables) @@ -222,7 +222,7 @@ sources: [](source-configs) tests: - [](/reference/test-configs) + [](/reference/data-test-configs) vars: [](/docs/build/project-variables) diff --git a/website/docs/reference/model-properties.md b/website/docs/reference/model-properties.md index 63adc1f0d63..a384307678f 100644 --- a/website/docs/reference/model-properties.md +++ b/website/docs/reference/model-properties.md @@ -23,7 +23,7 @@ models: [](/reference/model-configs): [constraints](/reference/resource-properties/constraints): - - [tests](/reference/resource-properties/tests): + [tests](/reference/resource-properties/data-tests): - - ... # declare additional tests [columns](/reference/resource-properties/columns): @@ -33,7 +33,7 @@ models: [quote](/reference/resource-properties/quote): true | false [constraints](/reference/resource-properties/constraints): - - [tests](/reference/resource-properties/tests): + [tests](/reference/resource-properties/data-tests): - - ... # declare additional tests [tags](/reference/resource-configs/tags): [] @@ -51,7 +51,7 @@ models: - [config](/reference/resource-properties/config): [](/reference/model-configs): - [tests](/reference/resource-properties/tests): + [tests](/reference/resource-properties/data-tests): - - ... # declare additional tests columns: @@ -63,7 +63,7 @@ models: [quote](/reference/resource-properties/quote): true | false [constraints](/reference/resource-properties/constraints): - - [tests](/reference/resource-properties/tests): + [tests](/reference/resource-properties/data-tests): - - ... # declare additional tests [tags](/reference/resource-configs/tags): [] diff --git a/website/docs/reference/node-selection/methods.md b/website/docs/reference/node-selection/methods.md index e29612e3401..2ffe0ea599e 100644 --- a/website/docs/reference/node-selection/methods.md +++ b/website/docs/reference/node-selection/methods.md @@ -173,7 +173,7 @@ dbt test --select "test_type:singular" # run all singular tests The `test_name` method is used to select tests based on the name of the generic test that defines it. For more information about how generic tests are defined, read about -[tests](/docs/build/tests). +[tests](/docs/build/data-tests). ```bash diff --git a/website/docs/reference/project-configs/test-paths.md b/website/docs/reference/project-configs/test-paths.md index e3d0e0b76fa..59f17db05eb 100644 --- a/website/docs/reference/project-configs/test-paths.md +++ b/website/docs/reference/project-configs/test-paths.md @@ -13,7 +13,7 @@ test-paths: [directorypath] ## Definition -Optionally specify a custom list of directories where [singular tests](/docs/build/tests) are located. +Optionally specify a custom list of directories where [singular tests](/docs/build/data-tests) are located. ## Default diff --git a/website/docs/reference/resource-configs/alias.md b/website/docs/reference/resource-configs/alias.md index 6b7588ecaf7..fbedb4597e6 100644 --- a/website/docs/reference/resource-configs/alias.md +++ b/website/docs/reference/resource-configs/alias.md @@ -112,7 +112,7 @@ When using `--store-failures`, this would return the name `analytics.finance.ord ## Definition -Optionally specify a custom alias for a [model](/docs/build/models), [tests](/docs/build/tests), [snapshots](/docs/build/snapshots), or [seed](/docs/build/seeds). +Optionally specify a custom alias for a [model](/docs/build/models), [tests](/docs/build/data-tests), [snapshots](/docs/build/snapshots), or [seed](/docs/build/seeds). When dbt creates a relation (/) in a database, it creates it as: `{{ database }}.{{ schema }}.{{ identifier }}`, e.g. `analytics.finance.payments` diff --git a/website/docs/reference/resource-configs/database.md b/website/docs/reference/resource-configs/database.md index 7d91358ff01..82c7b2cca92 100644 --- a/website/docs/reference/resource-configs/database.md +++ b/website/docs/reference/resource-configs/database.md @@ -70,7 +70,7 @@ This would result in the generated relation being located in the `reporting` dat ## Definition -Optionally specify a custom database for a [model](/docs/build/sql-models), [seed](/docs/build/seeds), or [tests](/docs/build/tests). (To specify a database for a [snapshot](/docs/build/snapshots), use the [`target_database` config](/reference/resource-configs/target_database)). +Optionally specify a custom database for a [model](/docs/build/sql-models), [seed](/docs/build/seeds), or [tests](/docs/build/data-tests). (To specify a database for a [snapshot](/docs/build/snapshots), use the [`target_database` config](/reference/resource-configs/target_database)). When dbt creates a relation (/) in a database, it creates it as: `{{ database }}.{{ schema }}.{{ identifier }}`, e.g. `analytics.finance.payments` diff --git a/website/docs/reference/resource-configs/meta.md b/website/docs/reference/resource-configs/meta.md index bc0c0c7c041..470bac35ba7 100644 --- a/website/docs/reference/resource-configs/meta.md +++ b/website/docs/reference/resource-configs/meta.md @@ -127,7 +127,7 @@ See [configs and properties](/reference/configs-and-properties) for details. -You can't add YAML `meta` configs for [generic tests](/docs/build/tests#generic-tests). However, you can add `meta` properties to [singular tests](/docs/build/tests#singular-tests) using `config()` at the top of the test file. +You can't add YAML `meta` configs for [generic tests](/docs/build/data-tests#generic-tests). However, you can add `meta` properties to [singular tests](/docs/build/data-tests#singular-tests) using `config()` at the top of the test file. diff --git a/website/docs/reference/resource-configs/store_failures_as.md b/website/docs/reference/resource-configs/store_failures_as.md index a9149360089..fd561176008 100644 --- a/website/docs/reference/resource-configs/store_failures_as.md +++ b/website/docs/reference/resource-configs/store_failures_as.md @@ -70,7 +70,7 @@ As with most other configurations, `store_failures_as` is "clobbered" when appli Additional resources: -- [Test configurations](/reference/test-configs#related-documentation) -- [Test-specific configurations](/reference/test-configs#test-specific-configurations) +- [Test configurations](/reference/data-test-configs#related-documentation) +- [Test-specific configurations](/reference/data-test-configs#test-specific-configurations) - [Configuring directories of models in dbt_project.yml](/reference/model-configs#configuring-directories-of-models-in-dbt_projectyml) - [Config inheritance](/reference/configs-and-properties#config-inheritance) \ No newline at end of file diff --git a/website/docs/reference/resource-properties/columns.md b/website/docs/reference/resource-properties/columns.md index ff8aa8734c6..74727977feb 100644 --- a/website/docs/reference/resource-properties/columns.md +++ b/website/docs/reference/resource-properties/columns.md @@ -28,7 +28,7 @@ models: data_type: [description](/reference/resource-properties/description): [quote](/reference/resource-properties/quote): true | false - [tests](/reference/resource-properties/tests): ... + [tests](/reference/resource-properties/data-tests): ... [tags](/reference/resource-configs/tags): ... [meta](/reference/resource-configs/meta): ... - name: @@ -55,7 +55,7 @@ sources: [description](/reference/resource-properties/description): data_type: [quote](/reference/resource-properties/quote): true | false - [tests](/reference/resource-properties/tests): ... + [tests](/reference/resource-properties/data-tests): ... [tags](/reference/resource-configs/tags): ... [meta](/reference/resource-configs/meta): ... - name: @@ -81,7 +81,7 @@ seeds: [description](/reference/resource-properties/description): data_type: [quote](/reference/resource-properties/quote): true | false - [tests](/reference/resource-properties/tests): ... + [tests](/reference/resource-properties/data-tests): ... [tags](/reference/resource-configs/tags): ... [meta](/reference/resource-configs/meta): ... - name: @@ -106,7 +106,7 @@ snapshots: [description](/reference/resource-properties/description): data_type: [quote](/reference/resource-properties/quote): true | false - [tests](/reference/resource-properties/tests): ... + [tests](/reference/resource-properties/data-tests): ... [tags](/reference/resource-configs/tags): ... [meta](/reference/resource-configs/meta): ... - name: diff --git a/website/docs/reference/resource-properties/config.md b/website/docs/reference/resource-properties/config.md index 55d2f64d9ff..89d189d8a78 100644 --- a/website/docs/reference/resource-properties/config.md +++ b/website/docs/reference/resource-properties/config.md @@ -98,7 +98,7 @@ version: 2 - [](#test_name): : config: - [](/reference/test-configs): + [](/reference/data-test-configs): ... ``` diff --git a/website/docs/reference/resource-properties/tests.md b/website/docs/reference/resource-properties/data-tests.md similarity index 83% rename from website/docs/reference/resource-properties/tests.md rename to website/docs/reference/resource-properties/data-tests.md index 0fe86ccc57d..96ee322efc0 100644 --- a/website/docs/reference/resource-properties/tests.md +++ b/website/docs/reference/resource-properties/data-tests.md @@ -1,8 +1,8 @@ --- -title: "About tests property" -sidebar_label: "tests" +title: "About data tests property" +sidebar_label: "Data tests" resource_types: all -datatype: test +datatype: data-test keywords: [test, tests, custom tests, custom test name, test name] --- @@ -30,7 +30,7 @@ models: - [](#test_name): : [config](/reference/resource-properties/config): - [](/reference/test-configs): + [](/reference/data-test-configs): [columns](/reference/resource-properties/columns): - name: @@ -39,7 +39,7 @@ models: - [](#test_name): : [config](/reference/resource-properties/config): - [](/reference/test-configs): + [](/reference/data-test-configs): ``` @@ -62,7 +62,7 @@ sources: - [](#test_name): : [config](/reference/resource-properties/config): - [](/reference/test-configs): + [](/reference/data-test-configs): columns: - name: @@ -71,7 +71,7 @@ sources: - [](#test_name): : [config](/reference/resource-properties/config): - [](/reference/test-configs): + [](/reference/data-test-configs): ``` @@ -93,7 +93,7 @@ seeds: - [](#test_name): : [config](/reference/resource-properties/config): - [](/reference/test-configs): + [](/reference/data-test-configs): columns: - name: @@ -102,7 +102,7 @@ seeds: - [](#test_name): : [config](/reference/resource-properties/config): - [](/reference/test-configs): + [](/reference/data-test-configs): ``` @@ -124,7 +124,7 @@ snapshots: - [](#test_name): : [config](/reference/resource-properties/config): - [](/reference/test-configs): + [](/reference/data-test-configs): columns: - name: @@ -133,7 +133,7 @@ snapshots: - [](#test_name): : [config](/reference/resource-properties/config): - [](/reference/test-configs): + [](/reference/data-test-configs): ``` @@ -152,17 +152,17 @@ This feature is not implemented for analyses. ## Related documentation -* [Testing guide](/docs/build/tests) +* [Testing guide](/docs/build/data-tests) ## Description -The `tests` property defines assertions about a column, , or . The property contains a list of [generic tests](/docs/build/tests#generic-tests), referenced by name, which can include the four built-in generic tests available in dbt. For example, you can add tests that ensure a column contains no duplicates and zero null values. Any arguments or [configurations](/reference/test-configs) passed to those tests should be nested below the test name. +The data `tests` property defines assertions about a column, , or . The property contains a list of [generic tests](/docs/build/data-tests#generic-tests), referenced by name, which can include the four built-in generic tests available in dbt. For example, you can add tests that ensure a column contains no duplicates and zero null values. Any arguments or [configurations](/reference/data-test-configs) passed to those tests should be nested below the test name. Once these tests are defined, you can validate their correctness by running `dbt test`. -## Out-of-the-box tests +## Out-of-the-box data tests -There are four generic tests that are available out of the box, for everyone using dbt. +There are four generic data tests that are available out of the box, for everyone using dbt. ### `not_null` @@ -262,7 +262,7 @@ The `to` argument accepts a [Relation](/reference/dbt-classes#relation) – this ## Additional examples ### Test an expression -Some tests require multiple columns, so it doesn't make sense to nest them under the `columns:` key. In this case, you can apply the test to the model (or source, seed, or snapshot) instead: +Some data tests require multiple columns, so it doesn't make sense to nest them under the `columns:` key. In this case, you can apply the test to the model (or source, seed, or snapshot) instead: @@ -300,7 +300,7 @@ models: Check out the guide on writing a [custom generic test](/best-practices/writing-custom-generic-tests) for more information. -### Custom test name +### Custom data test name By default, dbt will synthesize a name for your generic test by concatenating: - test name (`not_null`, `unique`, etc) @@ -434,11 +434,11 @@ $ dbt test 12:48:04 Done. PASS=2 WARN=0 ERROR=0 SKIP=0 TOTAL=2 ``` -**If using [`store_failures`](/reference/resource-configs/store_failures):** dbt uses each test's name as the name of the table in which to store any failing records. If you have defined a custom name for one test, that custom name will also be used for its table of failures. You may optionally configure an [`alias`](/reference/resource-configs/alias) for the test, to separately control both the name of the test (for metadata) and the name of its database table (for storing failures). +**If using [`store_failures`](/reference/resource-configs/store_failures):** dbt uses each data test's name as the name of the table in which to store any failing records. If you have defined a custom name for one test, that custom name will also be used for its table of failures. You may optionally configure an [`alias`](/reference/resource-configs/alias) for the test, to separately control both the name of the test (for metadata) and the name of its database table (for storing failures). ### Alternative format for defining tests -When defining a generic test with several arguments and configurations, the YAML can look and feel unwieldy. If you find it easier, you can define the same test properties as top-level keys of a single dictionary, by providing the test name as `test_name` instead. It's totally up to you. +When defining a generic data test with several arguments and configurations, the YAML can look and feel unwieldy. If you find it easier, you can define the same test properties as top-level keys of a single dictionary, by providing the test name as `test_name` instead. It's totally up to you. This example is identical to the one above: diff --git a/website/docs/reference/seed-properties.md b/website/docs/reference/seed-properties.md index 85e7be21ae1..9201df65f4c 100644 --- a/website/docs/reference/seed-properties.md +++ b/website/docs/reference/seed-properties.md @@ -18,7 +18,7 @@ seeds: show: true | false [config](/reference/resource-properties/config): [](/reference/seed-configs): - [tests](/reference/resource-properties/tests): + [tests](/reference/resource-properties/data-tests): - - ... # declare additional tests columns: @@ -27,7 +27,7 @@ seeds: [meta](/reference/resource-configs/meta): {} [quote](/reference/resource-properties/quote): true | false [tags](/reference/resource-configs/tags): [] - [tests](/reference/resource-properties/tests): + [tests](/reference/resource-properties/data-tests): - - ... # declare additional tests diff --git a/website/docs/reference/snapshot-properties.md b/website/docs/reference/snapshot-properties.md index 301747e9325..8f01fd8e988 100644 --- a/website/docs/reference/snapshot-properties.md +++ b/website/docs/reference/snapshot-properties.md @@ -22,7 +22,7 @@ snapshots: show: true | false [config](/reference/resource-properties/config): [](/reference/snapshot-configs): - [tests](/reference/resource-properties/tests): + [tests](/reference/resource-properties/data-tests): - - ... columns: @@ -31,7 +31,7 @@ snapshots: [meta](/reference/resource-configs/meta): {} [quote](/reference/resource-properties/quote): true | false [tags](/reference/resource-configs/tags): [] - [tests](/reference/resource-properties/tests): + [tests](/reference/resource-properties/data-tests): - - ... # declare additional tests - ... # declare properties of additional columns diff --git a/website/docs/reference/source-properties.md b/website/docs/reference/source-properties.md index d107881967e..aa95a19327c 100644 --- a/website/docs/reference/source-properties.md +++ b/website/docs/reference/source-properties.md @@ -57,7 +57,7 @@ sources: [meta](/reference/resource-configs/meta): {} [identifier](/reference/resource-properties/identifier): [loaded_at_field](/reference/resource-properties/freshness#loaded_at_field): - [tests](/reference/resource-properties/tests): + [tests](/reference/resource-properties/data-tests): - - ... # declare additional tests [tags](/reference/resource-configs/tags): [] @@ -80,7 +80,7 @@ sources: [description](/reference/resource-properties/description): [meta](/reference/resource-configs/meta): {} [quote](/reference/resource-properties/quote): true | false - [tests](/reference/resource-properties/tests): + [tests](/reference/resource-properties/data-tests): - - ... # declare additional tests [tags](/reference/resource-configs/tags): [] diff --git a/website/docs/terms/data-wrangling.md b/website/docs/terms/data-wrangling.md index 58034fe8e91..d71013524ca 100644 --- a/website/docs/terms/data-wrangling.md +++ b/website/docs/terms/data-wrangling.md @@ -150,7 +150,7 @@ For nested data types such as JSON, you’ll want to check out the JSON parsing ### Validating -dbt offers [generic tests](/docs/build/tests#more-generic-tests) in every dbt project that allows you to validate accepted, unique, and null values. They also allow you to validate the relationships between tables and that the primary key is unique. +dbt offers [generic tests](/docs/build/data-tests#more-generic-tests) in every dbt project that allows you to validate accepted, unique, and null values. They also allow you to validate the relationships between tables and that the primary key is unique. If you can’t find what you need with the generic tests, you can download an additional dbt testing package called [dbt_expectations](https://hub.getdbt.com/calogica/dbt_expectations/0.1.2/) that dives even deeper into how you can test the values in your columns. This package has useful tests like `expect_column_values_to_be_in_type_list`, `expect_column_values_to_be_between`, and `expect_column_value_lengths_to_equal`. diff --git a/website/docs/terms/primary-key.md b/website/docs/terms/primary-key.md index 4acd1e8c46d..5724e2b3b6e 100644 --- a/website/docs/terms/primary-key.md +++ b/website/docs/terms/primary-key.md @@ -108,7 +108,7 @@ In general for Redshift, it’s still good practice to define your primary keys ### Google BigQuery -BigQuery is pretty unique here in that it doesn’t support or enforce primary keys. If your team is on BigQuery, you’ll need to have some [pretty solid testing](/docs/build/tests) in place to ensure your primary key fields are unique and non-null. +BigQuery is pretty unique here in that it doesn’t support or enforce primary keys. If your team is on BigQuery, you’ll need to have some [pretty solid testing](/docs/build/data-tests) in place to ensure your primary key fields are unique and non-null. ### Databricks @@ -141,7 +141,7 @@ If you don't have a field in your table that would act as a natural primary key, If your data warehouse doesn’t provide out-of-the box support and enforcement for primary keys, it’s important to clearly label and put your own constraints on primary key fields. This could look like: * **Creating a consistent naming convention for your primary keys**: You may see an `id` field or fields prefixed with `pk_` (ex. `pk_order_id`) to identify primary keys. You may also see the primary key be named as the obvious table grain (ex. In the jaffle shop’s `orders` table, the primary key is called `order_id`). -* **Adding automated [tests](/docs/build/tests) to your data models**: Use a data tool, such as dbt, to create not null and unique tests for your primary key fields. +* **Adding automated [tests](/docs/build/data-tests) to your data models**: Use a data tool, such as dbt, to create not null and unique tests for your primary key fields. ## Testing primary keys diff --git a/website/docs/terms/surrogate-key.md b/website/docs/terms/surrogate-key.md index e57a0b74a7f..9b8c932ee5a 100644 --- a/website/docs/terms/surrogate-key.md +++ b/website/docs/terms/surrogate-key.md @@ -177,7 +177,7 @@ After executing this, the table would now have the `unique_id` field now uniquel Amazing, you just made a surrogate key! You can just move on to the next data model, right? No!! It’s critically important to test your surrogate keys for uniqueness and non-null values to ensure that the correct fields were chosen to create the surrogate key. -In order to test for null and unique values you can utilize code-based tests like [dbt tests](/docs/build/tests), that can check fields for nullness and uniqueness. You can additionally utilize simple SQL queries or unit tests to check if surrogate key count and non-nullness is correct. +In order to test for null and unique values you can utilize code-based tests like [dbt tests](/docs/build/data-tests), that can check fields for nullness and uniqueness. You can additionally utilize simple SQL queries or unit tests to check if surrogate key count and non-nullness is correct. ## A note on hashing algorithms diff --git a/website/sidebars.js b/website/sidebars.js index 598fffc7f0d..42269c49a76 100644 --- a/website/sidebars.js +++ b/website/sidebars.js @@ -277,7 +277,7 @@ const sidebarSettings = { }, "docs/build/snapshots", "docs/build/seeds", - "docs/build/tests", + "docs/build/data-tests", "docs/build/jinja-macros", "docs/build/sources", "docs/build/exposures", @@ -743,7 +743,7 @@ const sidebarSettings = { "reference/resource-properties/latest_version", "reference/resource-properties/include-exclude", "reference/resource-properties/quote", - "reference/resource-properties/tests", + "reference/resource-properties/data-tests", "reference/resource-properties/versions", ], }, diff --git a/website/snippets/_run-result.md b/website/snippets/_run-result.md index 77a35676e86..28de3a97cb6 100644 --- a/website/snippets/_run-result.md +++ b/website/snippets/_run-result.md @@ -1,2 +1,2 @@ -- `adapter_response`: Dictionary of metadata returned from the database, which varies by adapter. For example, success `code`, number of `rows_affected`, total `bytes_processed`, and so on. Not applicable for [tests](/docs/build/tests). +- `adapter_response`: Dictionary of metadata returned from the database, which varies by adapter. For example, success `code`, number of `rows_affected`, total `bytes_processed`, and so on. Not applicable for [tests](/docs/build/data-tests). * `rows_affected` returns the number of rows modified by the last statement executed. In cases where the query's row count can't be determined or isn't applicable (such as when creating a view), a [standard value](https://peps.python.org/pep-0249/#rowcount) of `-1` is returned for `rowcount`. diff --git a/website/snippets/tutorial-add-tests-to-models.md b/website/snippets/tutorial-add-tests-to-models.md index 491fc72ba85..f743c2bf947 100644 --- a/website/snippets/tutorial-add-tests-to-models.md +++ b/website/snippets/tutorial-add-tests-to-models.md @@ -1,4 +1,4 @@ -Adding [tests](/docs/build/tests) to a project helps validate that your models are working correctly. +Adding [tests](/docs/build/data-tests) to a project helps validate that your models are working correctly. To add tests to your project: From 102e11546b02c409341de36adc2f15850c000388 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Tue, 5 Dec 2023 15:03:46 -0500 Subject: [PATCH 13/92] adding redirects --- website/vercel.json | 15 +++++++++++++++ 1 file changed, 15 insertions(+) diff --git a/website/vercel.json b/website/vercel.json index 3377b49278d..41b10f9c773 100644 --- a/website/vercel.json +++ b/website/vercel.json @@ -2,6 +2,21 @@ "cleanUrls": true, "trailingSlash": false, "redirects": [ + { + "source": "/reference/test-configs", + "destination": "/reference/data-test-configs", + "permanent": true + }, + { + "source": "/reference/resource-properties/tests", + "destination": "/reference/resource-properties/data-tests",, + "permanent": true + }, + { + "source": "/docs/build/tests", + "destination": "/docs/build/data-tests", + "permanent": true + }, { "source": "/docs/cloud/dbt-cloud-ide", "destination": "/docs/cloud/dbt-cloud-ide/develop-in-the-cloud", From 807ebbcfb7e53387388adcf0d65645027916ccbe Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Tue, 5 Dec 2023 15:06:32 -0500 Subject: [PATCH 14/92] Fixing syntax --- website/vercel.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/vercel.json b/website/vercel.json index 41b10f9c773..5cdc2656948 100644 --- a/website/vercel.json +++ b/website/vercel.json @@ -9,7 +9,7 @@ }, { "source": "/reference/resource-properties/tests", - "destination": "/reference/resource-properties/data-tests",, + "destination": "/reference/resource-properties/data-tests", "permanent": true }, { From 6c459adc0db4888f7c8043b1587ec08757ce8c0b Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Tue, 5 Dec 2023 15:13:15 -0500 Subject: [PATCH 15/92] Fixing sidebar name --- website/sidebars.js | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/sidebars.js b/website/sidebars.js index 42269c49a76..7a05539d05f 100644 --- a/website/sidebars.js +++ b/website/sidebars.js @@ -809,7 +809,7 @@ const sidebarSettings = { type: "category", label: "For tests", items: [ - "reference/test-configs", + "reference/data-test-configs", "reference/resource-configs/fail_calc", "reference/resource-configs/limit", "reference/resource-configs/severity", 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 16/92] 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 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 17/92] 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 18/92] 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 19/92] 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 0d4dd63ad767fcb480ca39f9ee8d2999e920a1d1 Mon Sep 17 00:00:00 2001 From: Mike Alfare Date: Wed, 6 Dec 2023 21:40:59 -0500 Subject: [PATCH 20/92] 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 21/92] 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 22/92] 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 23/92] 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 24/92] 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 25/92] 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 26/92] 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 27/92] 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 11:26:56 -0500 Subject: [PATCH 28/92] Update website/docs/reference/data-test-configs.md Co-authored-by: Doug Beatty <44704949+dbeatty10@users.noreply.github.com> --- website/docs/reference/data-test-configs.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/reference/data-test-configs.md b/website/docs/reference/data-test-configs.md index 13154832cef..5f922d08c6b 100644 --- a/website/docs/reference/data-test-configs.md +++ b/website/docs/reference/data-test-configs.md @@ -260,7 +260,7 @@ select ... -#### Disable alldata tests from a package +#### Disable all data tests from a package From d4f8ff1e05305168162db0d2ce58a21e892dd28c Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Thu, 7 Dec 2023 11:27:21 -0500 Subject: [PATCH 29/92] Update website/docs/best-practices/custom-generic-tests.md Co-authored-by: Grace Goheen <53586774+graciegoheen@users.noreply.github.com> --- website/docs/best-practices/custom-generic-tests.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/best-practices/custom-generic-tests.md b/website/docs/best-practices/custom-generic-tests.md index cd6dced8ad2..bd232a0a5d5 100644 --- a/website/docs/best-practices/custom-generic-tests.md +++ b/website/docs/best-practices/custom-generic-tests.md @@ -9,7 +9,7 @@ hoverSnippet: Learn how to define your own custom generic tests. dbt ships with [Not Null](/reference/resource-properties/data-tests#not-null), [Unique](/reference/resource-properties/data-tests#unique), [Relationships](/reference/resource-properties/data-tests#relationships), and [Accepted Values](/reference/resource-properties/data-tests#accepted-values) generic tests. (These used to be called "schema tests," and you'll still see that name in some places.) Under the hood, these generic tests are defined as `test` blocks (like macros) in a globally accessible dbt project. You can find the source code for these tests in the [global project](https://github.com/dbt-labs/dbt-core/tree/main/core/dbt/include/global_project/macros/generic_test_sql). :::info -There are tons of generic tests defined in open source packages, such as [dbt-utils](https://hub.getdbt.com/dbt-labs/dbt_utils/latest/) and [dbt-expectations](https://hub.getdbt.com/calogica/dbt_expectations/latest/) — the test you're looking for might already be here! +There are tons of generic data tests defined in open source packages, such as [dbt-utils](https://hub.getdbt.com/dbt-labs/dbt_utils/latest/) and [dbt-expectations](https://hub.getdbt.com/calogica/dbt_expectations/latest/) — the test you're looking for might already be here! ::: ### Generic tests with standard arguments From 1aa147a33b2a79cb038763d2a9cc2222bb2ae85a Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Thu, 7 Dec 2023 11:28:17 -0500 Subject: [PATCH 30/92] Update website/docs/best-practices/custom-generic-tests.md Co-authored-by: Grace Goheen <53586774+graciegoheen@users.noreply.github.com> --- website/docs/best-practices/custom-generic-tests.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/best-practices/custom-generic-tests.md b/website/docs/best-practices/custom-generic-tests.md index bd232a0a5d5..3f59d6916c6 100644 --- a/website/docs/best-practices/custom-generic-tests.md +++ b/website/docs/best-practices/custom-generic-tests.md @@ -6,7 +6,7 @@ displayText: Writing custom generic tests hoverSnippet: Learn how to define your own custom generic tests. --- -dbt ships with [Not Null](/reference/resource-properties/data-tests#not-null), [Unique](/reference/resource-properties/data-tests#unique), [Relationships](/reference/resource-properties/data-tests#relationships), and [Accepted Values](/reference/resource-properties/data-tests#accepted-values) generic tests. (These used to be called "schema tests," and you'll still see that name in some places.) Under the hood, these generic tests are defined as `test` blocks (like macros) in a globally accessible dbt project. You can find the source code for these tests in the [global project](https://github.com/dbt-labs/dbt-core/tree/main/core/dbt/include/global_project/macros/generic_test_sql). +dbt ships with [Not Null](/reference/resource-properties/data-tests#not-null), [Unique](/reference/resource-properties/data-tests#unique), [Relationships](/reference/resource-properties/data-tests#relationships), and [Accepted Values](/reference/resource-properties/data-tests#accepted-values) generic data tests. (These used to be called "schema tests," and you'll still see that name in some places.) Under the hood, these generic data tests are defined as `test` blocks (like macros) in a globally accessible dbt project. You can find the source code for these tests in the [global project](https://github.com/dbt-labs/dbt-core/tree/main/core/dbt/include/global_project/macros/generic_test_sql). :::info There are tons of generic data tests defined in open source packages, such as [dbt-utils](https://hub.getdbt.com/dbt-labs/dbt_utils/latest/) and [dbt-expectations](https://hub.getdbt.com/calogica/dbt_expectations/latest/) — the test you're looking for might already be here! From 4ce204051236ff2cbe3f9239b3345d5f9c287093 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Thu, 7 Dec 2023 11:28:28 -0500 Subject: [PATCH 31/92] Update website/docs/docs/build/data-tests.md Co-authored-by: Grace Goheen <53586774+graciegoheen@users.noreply.github.com> --- website/docs/docs/build/data-tests.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/build/data-tests.md b/website/docs/docs/build/data-tests.md index a63b25dffca..3ff0564526c 100644 --- a/website/docs/docs/build/data-tests.md +++ b/website/docs/docs/build/data-tests.md @@ -19,7 +19,7 @@ Data tests are assertions you make about your models and other resources in your You can use data tests to improve the integrity of the SQL in each model by making assertions about the results generated. Out of the box, you can test whether a specified column in a model only contains non-null values, unique values, or values that have a corresponding value in another model (for example, a `customer_id` for an `order` corresponds to an `id` in the `customers` model), and values from a specified list. You can extend data tests to suit business logic specific to your organization – any assertion that you can make about your model in the form of a select query can be turned into a data test. -Both types of tests return a set of failing records. Previously, generic/schema tests returned a numeric value representing failures. Generic data tests (f.k.a. schema tests) are defined using `test` blocks instead of macros prefixed `test_`. +Data tests return a set of failing records. Generic data tests (f.k.a. schema tests) are defined using `test` blocks. Like almost everything in dbt, data tests are SQL queries. In particular, they are `select` statements that seek to grab "failing" records, ones that disprove your assertion. If you assert that a column is unique in a model, the test query selects for duplicates; if you assert that a column is never null, the test seeks after nulls. If the test returns zero failing rows, it passes, and your assertion has been validated. From 97ccd64672c38790a8106a5cbb4b7d59fc4f819a Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Thu, 7 Dec 2023 11:28:37 -0500 Subject: [PATCH 32/92] Update website/docs/terms/data-wrangling.md Co-authored-by: Grace Goheen <53586774+graciegoheen@users.noreply.github.com> --- 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 d71013524ca..96f3e938411 100644 --- a/website/docs/terms/data-wrangling.md +++ b/website/docs/terms/data-wrangling.md @@ -152,7 +152,7 @@ For nested data types such as JSON, you’ll want to check out the JSON parsing dbt offers [generic tests](/docs/build/data-tests#more-generic-tests) in every dbt project that allows you to validate accepted, unique, and null values. They also allow you to validate the relationships between tables and that the primary key is unique. -If you can’t find what you need with the generic tests, you can download an additional dbt testing package called [dbt_expectations](https://hub.getdbt.com/calogica/dbt_expectations/0.1.2/) that dives even deeper into how you can test the values in your columns. This package has useful tests like `expect_column_values_to_be_in_type_list`, `expect_column_values_to_be_between`, and `expect_column_value_lengths_to_equal`. +If you can’t find what you need with the generic tests, you can download an additional dbt testing package called [dbt_expectations](https://hub.getdbt.com/calogica/dbt_expectations/0.1.2/) that dives even deeper into how you can test the values in your columns. This package has useful data tests like `expect_column_values_to_be_in_type_list`, `expect_column_values_to_be_between`, and `expect_column_value_lengths_to_equal`. ## Conclusion From c11032e963dfc902366fd27c40fae42d6a1f252f Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Thu, 7 Dec 2023 11:28:44 -0500 Subject: [PATCH 33/92] Update website/docs/terms/primary-key.md Co-authored-by: Grace Goheen <53586774+graciegoheen@users.noreply.github.com> --- website/docs/terms/primary-key.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/terms/primary-key.md b/website/docs/terms/primary-key.md index 5724e2b3b6e..489085342da 100644 --- a/website/docs/terms/primary-key.md +++ b/website/docs/terms/primary-key.md @@ -141,7 +141,7 @@ If you don't have a field in your table that would act as a natural primary key, If your data warehouse doesn’t provide out-of-the box support and enforcement for primary keys, it’s important to clearly label and put your own constraints on primary key fields. This could look like: * **Creating a consistent naming convention for your primary keys**: You may see an `id` field or fields prefixed with `pk_` (ex. `pk_order_id`) to identify primary keys. You may also see the primary key be named as the obvious table grain (ex. In the jaffle shop’s `orders` table, the primary key is called `order_id`). -* **Adding automated [tests](/docs/build/data-tests) to your data models**: Use a data tool, such as dbt, to create not null and unique tests for your primary key fields. +* **Adding automated [data tests](/docs/build/data-tests) to your data models**: Use a data tool, such as dbt, to create not null and unique tests for your primary key fields. ## Testing primary keys From ca9395ff2b53ad151944fcca664c1cc2b909c81f Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Thu, 7 Dec 2023 11:28:56 -0500 Subject: [PATCH 34/92] Update website/docs/terms/surrogate-key.md Co-authored-by: Grace Goheen <53586774+graciegoheen@users.noreply.github.com> --- website/docs/terms/surrogate-key.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/terms/surrogate-key.md b/website/docs/terms/surrogate-key.md index 9b8c932ee5a..1c4d7f21d57 100644 --- a/website/docs/terms/surrogate-key.md +++ b/website/docs/terms/surrogate-key.md @@ -177,7 +177,7 @@ After executing this, the table would now have the `unique_id` field now uniquel Amazing, you just made a surrogate key! You can just move on to the next data model, right? No!! It’s critically important to test your surrogate keys for uniqueness and non-null values to ensure that the correct fields were chosen to create the surrogate key. -In order to test for null and unique values you can utilize code-based tests like [dbt tests](/docs/build/data-tests), that can check fields for nullness and uniqueness. You can additionally utilize simple SQL queries or unit tests to check if surrogate key count and non-nullness is correct. +In order to test for null and unique values you can utilize code-based data tests like [dbt tests](/docs/build/data-tests), that can check fields for nullness and uniqueness. You can additionally utilize simple SQL queries or unit tests to check if surrogate key count and non-nullness is correct. ## A note on hashing algorithms From d4c9d1be12103955f14af54796a7dc27e4babc96 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Thu, 7 Dec 2023 11:29:05 -0500 Subject: [PATCH 35/92] Update website/docs/docs/build/data-tests.md Co-authored-by: Grace Goheen <53586774+graciegoheen@users.noreply.github.com> --- website/docs/docs/build/data-tests.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/build/data-tests.md b/website/docs/docs/build/data-tests.md index 3ff0564526c..a5995759f2a 100644 --- a/website/docs/docs/build/data-tests.md +++ b/website/docs/docs/build/data-tests.md @@ -21,7 +21,7 @@ You can use data tests to improve the integrity of the SQL in each model by maki Data tests return a set of failing records. Generic data tests (f.k.a. schema tests) are defined using `test` blocks. -Like almost everything in dbt, data tests are SQL queries. In particular, they are `select` statements that seek to grab "failing" records, ones that disprove your assertion. If you assert that a column is unique in a model, the test query selects for duplicates; if you assert that a column is never null, the test seeks after nulls. If the test returns zero failing rows, it passes, and your assertion has been validated. +Like almost everything in dbt, data tests are SQL queries. In particular, they are `select` statements that seek to grab "failing" records, ones that disprove your assertion. If you assert that a column is unique in a model, the test query selects for duplicates; if you assert that a column is never null, the test seeks after nulls. If the data test returns zero failing rows, it passes, and your assertion has been validated. There are two ways of defining data tests in dbt: * A **singular** test is testing in its simplest form: If you can write a SQL query that returns failing rows, you can save that query in a `.sql` file within your [test directory](/reference/project-configs/test-paths). It's now a test, and it will be executed by the `dbt test` command. From 9ddd75a8a0bdb65fe518344ecb5f523306148fe4 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Thu, 7 Dec 2023 11:29:12 -0500 Subject: [PATCH 36/92] Update website/docs/terms/primary-key.md Co-authored-by: Grace Goheen <53586774+graciegoheen@users.noreply.github.com> --- website/docs/terms/primary-key.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/terms/primary-key.md b/website/docs/terms/primary-key.md index 489085342da..fde3ff44ac7 100644 --- a/website/docs/terms/primary-key.md +++ b/website/docs/terms/primary-key.md @@ -108,7 +108,7 @@ In general for Redshift, it’s still good practice to define your primary keys ### Google BigQuery -BigQuery is pretty unique here in that it doesn’t support or enforce primary keys. If your team is on BigQuery, you’ll need to have some [pretty solid testing](/docs/build/data-tests) in place to ensure your primary key fields are unique and non-null. +BigQuery is pretty unique here in that it doesn’t support or enforce primary keys. If your team is on BigQuery, you’ll need to have some [pretty solid data testing](/docs/build/data-tests) in place to ensure your primary key fields are unique and non-null. ### Databricks From 20b746e238f93b187867a6b2ccefc9eaf9f6bfdb Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Thu, 7 Dec 2023 11:30:50 -0500 Subject: [PATCH 37/92] Update website/docs/best-practices/custom-generic-tests.md --- website/docs/best-practices/custom-generic-tests.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/best-practices/custom-generic-tests.md b/website/docs/best-practices/custom-generic-tests.md index 3f59d6916c6..4be3caeef5a 100644 --- a/website/docs/best-practices/custom-generic-tests.md +++ b/website/docs/best-practices/custom-generic-tests.md @@ -3,7 +3,7 @@ title: "Writing custom generic tests" id: "writing-custom-generic-tests" description: Learn how to define your own custom generic tests. displayText: Writing custom generic tests -hoverSnippet: Learn how to define your own custom generic tests. +hoverSnippet: Learn how to write your own custom generic tests. --- dbt ships with [Not Null](/reference/resource-properties/data-tests#not-null), [Unique](/reference/resource-properties/data-tests#unique), [Relationships](/reference/resource-properties/data-tests#relationships), and [Accepted Values](/reference/resource-properties/data-tests#accepted-values) generic data tests. (These used to be called "schema tests," and you'll still see that name in some places.) Under the hood, these generic data tests are defined as `test` blocks (like macros) in a globally accessible dbt project. You can find the source code for these tests in the [global project](https://github.com/dbt-labs/dbt-core/tree/main/core/dbt/include/global_project/macros/generic_test_sql). From 01fe6448de311e61d1ab7e38f56db5235b097bd6 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Thu, 7 Dec 2023 11:31:56 -0500 Subject: [PATCH 38/92] Update custom-generic-tests.md --- website/docs/best-practices/custom-generic-tests.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/website/docs/best-practices/custom-generic-tests.md b/website/docs/best-practices/custom-generic-tests.md index 4be3caeef5a..e96fc864ee6 100644 --- a/website/docs/best-practices/custom-generic-tests.md +++ b/website/docs/best-practices/custom-generic-tests.md @@ -1,9 +1,9 @@ --- -title: "Writing custom generic tests" +title: "Writing custom generic data tests" id: "writing-custom-generic-tests" -description: Learn how to define your own custom generic tests. -displayText: Writing custom generic tests -hoverSnippet: Learn how to write your own custom generic tests. +description: Learn how to define your own custom generic data tests. +displayText: Writing custom generic data tests +hoverSnippet: Learn how to write your own custom generic data tests. --- dbt ships with [Not Null](/reference/resource-properties/data-tests#not-null), [Unique](/reference/resource-properties/data-tests#unique), [Relationships](/reference/resource-properties/data-tests#relationships), and [Accepted Values](/reference/resource-properties/data-tests#accepted-values) generic data tests. (These used to be called "schema tests," and you'll still see that name in some places.) Under the hood, these generic data tests are defined as `test` blocks (like macros) in a globally accessible dbt project. You can find the source code for these tests in the [global project](https://github.com/dbt-labs/dbt-core/tree/main/core/dbt/include/global_project/macros/generic_test_sql). From f50eb361a0066c9a264361d3bbce909ac0240eb2 Mon Sep 17 00:00:00 2001 From: Mike Alfare Date: Thu, 7 Dec 2023 12:20:56 -0500 Subject: [PATCH 39/92] 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 40/92] 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 41/92] 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 552b5393566aafe26163904d817f4cb4201f07f8 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Thu, 7 Dec 2023 15:25:26 -0500 Subject: [PATCH 42/92] Update website/docs/docs/build/data-tests.md Co-authored-by: Grace Goheen <53586774+graciegoheen@users.noreply.github.com> --- website/docs/docs/build/data-tests.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/build/data-tests.md b/website/docs/docs/build/data-tests.md index a5995759f2a..32a50dba800 100644 --- a/website/docs/docs/build/data-tests.md +++ b/website/docs/docs/build/data-tests.md @@ -24,7 +24,7 @@ Data tests return a set of failing records. Generic data tests (f.k.a. schema te Like almost everything in dbt, data tests are SQL queries. In particular, they are `select` statements that seek to grab "failing" records, ones that disprove your assertion. If you assert that a column is unique in a model, the test query selects for duplicates; if you assert that a column is never null, the test seeks after nulls. If the data test returns zero failing rows, it passes, and your assertion has been validated. There are two ways of defining data tests in dbt: -* A **singular** test is testing in its simplest form: If you can write a SQL query that returns failing rows, you can save that query in a `.sql` file within your [test directory](/reference/project-configs/test-paths). It's now a test, and it will be executed by the `dbt test` command. +* A **singular** data test is testing in its simplest form: If you can write a SQL query that returns failing rows, you can save that query in a `.sql` file within your [test directory](/reference/project-configs/test-paths). It's now a data test, and it will be executed by the `dbt test` command. * A **generic** test is a parameterized query that accepts arguments. The test query is defined in a special `test` block (like a [macro](jinja-macros)). Once defined, you can reference the generic test by name throughout your `.yml` files—define it on models, columns, sources, snapshots, and seeds. dbt ships with four generic tests built in, and we think you should use them! Defining data tests is a great way to confirm that your code is working correctly, and helps prevent regressions when your code changes. Because you can use them over and over again, making similar assertions with minor variations, generic data tests tend to be much more common—they should make up the bulk of your dbt testing suite. That said, both ways of defining data tests have their time and place. From 3f984083d6423b8aac18867a5767bae43082b95d Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Thu, 7 Dec 2023 15:51:06 -0500 Subject: [PATCH 43/92] Updating links --- .../blog/2022-10-19-polyglot-dbt-python-dataframes-and-sql.md | 2 +- website/blog/2023-01-24-aggregating-test-failures.md | 2 +- website/docs/guides/dbt-python-snowpark.md | 2 +- website/docs/reference/resource-configs/meta.md | 2 +- website/docs/reference/resource-configs/store_failures_as.md | 2 +- 5 files changed, 5 insertions(+), 5 deletions(-) diff --git a/website/blog/2022-10-19-polyglot-dbt-python-dataframes-and-sql.md b/website/blog/2022-10-19-polyglot-dbt-python-dataframes-and-sql.md index bab92000a16..9c04bd73a9a 100644 --- a/website/blog/2022-10-19-polyglot-dbt-python-dataframes-and-sql.md +++ b/website/blog/2022-10-19-polyglot-dbt-python-dataframes-and-sql.md @@ -135,7 +135,7 @@ This model tries to parse the raw string value into a Python datetime. When not During the build process, dbt will check if any of the values are null. This is using the built-in [`not_null`](https://docs.getdbt.com/docs/building-a-dbt-project/tests#generic-tests) test, which will generate and execute SQL in the data platform. -Our initial recommendation for testing Python models is to use [generic](https://docs.getdbt.com/docs/building-a-dbt-project/tests#generic-tests) and [singular](https://docs.getdbt.com/docs/building-a-dbt-project/tests#singular-tests) tests. +Our initial recommendation for testing Python models is to use [generic](https://docs.getdbt.com/docs/building-a-dbt-project/tests#generic-tests) and [singular](https://docs.getdbt.com/docs/building-a-dbt-project/tests#singular-data-tests) tests. ```yaml version: 2 diff --git a/website/blog/2023-01-24-aggregating-test-failures.md b/website/blog/2023-01-24-aggregating-test-failures.md index d82c202b376..2319da910a6 100644 --- a/website/blog/2023-01-24-aggregating-test-failures.md +++ b/website/blog/2023-01-24-aggregating-test-failures.md @@ -30,7 +30,7 @@ _It should be noted that this framework is for dbt v1.0+ on BigQuery. Small adap When we talk about high quality data tests, we aren’t just referencing high quality code, but rather the informational quality of our testing framework and their corresponding error messages. Originally, we theorized that any test that cannot be acted upon is a test that should not be implemented. Later, we realized there is a time and place for tests that should receive attention at a critical mass of failures. All we needed was a higher specificity system: tests should have an explicit severity ranking associated with them, equipped to filter out the noise of common, but low concern, failures. Each test should also mesh into established [RACI](https://project-management.com/understanding-responsibility-assignment-matrix-raci-matrix/) guidelines that state which groups tackle what failures, and what constitutes a critical mass. -To ensure that tests are always acted upon, we implement tests differently depending on the user groups that must act when a test fails. This led us to have two main classes of tests — Data Integrity Tests (called [Generic Tests](https://docs.getdbt.com/docs/build/tests) in dbt docs) and Context Driven Tests (called [Singular Tests](https://docs.getdbt.com/docs/build/tests#singular-tests) in dbt docs), with varying levels of severity across both test classes. +To ensure that tests are always acted upon, we implement tests differently depending on the user groups that must act when a test fails. This led us to have two main classes of tests — Data Integrity Tests (called [Generic Tests](https://docs.getdbt.com/docs/build/tests) in dbt docs) and Context Driven Tests (called [Singular Tests](https://docs.getdbt.com/docs/build/tests#singular-data-tests) in dbt docs), with varying levels of severity across both test classes. Data Integrity tests (Generic Tests)  are simple — they’re tests akin to a uniqueness check or not null constraint. These tests are usually actionable by the data platform team rather than subject matter experts. We define Data Integrity tests in our YAML files, similar to how they are [outlined by dbt’s documentation on generic tests](https://docs.getdbt.com/docs/build/tests). They look something like this — diff --git a/website/docs/guides/dbt-python-snowpark.md b/website/docs/guides/dbt-python-snowpark.md index e2f314ada55..fa39ed6d423 100644 --- a/website/docs/guides/dbt-python-snowpark.md +++ b/website/docs/guides/dbt-python-snowpark.md @@ -1720,7 +1720,7 @@ We test data models for mainly two reasons: - Ensure that our source data is clean on ingestion before we start data modeling/transformation (aka avoid garbage in, garbage out problem). - Make sure we don’t introduce bugs in the transformation code we wrote (stop ourselves from creating bad joins/fanouts). -Testing in dbt comes in two flavors: [generic](/docs/build/data-tests#generic-tests) and [singular](/docs/build/data-tests#singular-tests). +Testing in dbt comes in two flavors: [generic](/docs/build/data-tests#generic-tests) and [singular](/docs/build/data-tests#singular-data-tests). You define them in a test block (similar to a macro) and once defined, you can reference them by name in your `.yml` files (applying them to models, columns, sources, snapshots, and seeds). diff --git a/website/docs/reference/resource-configs/meta.md b/website/docs/reference/resource-configs/meta.md index 470bac35ba7..6a69536bb2a 100644 --- a/website/docs/reference/resource-configs/meta.md +++ b/website/docs/reference/resource-configs/meta.md @@ -127,7 +127,7 @@ See [configs and properties](/reference/configs-and-properties) for details. -You can't add YAML `meta` configs for [generic tests](/docs/build/data-tests#generic-tests). However, you can add `meta` properties to [singular tests](/docs/build/data-tests#singular-tests) using `config()` at the top of the test file. +You can't add YAML `meta` configs for [generic tests](/docs/build/data-tests#generic-tests). However, you can add `meta` properties to [singular tests](/docs/build/data-tests#singular-data-tests) using `config()` at the top of the test file. diff --git a/website/docs/reference/resource-configs/store_failures_as.md b/website/docs/reference/resource-configs/store_failures_as.md index fd561176008..52ec2e3bd3a 100644 --- a/website/docs/reference/resource-configs/store_failures_as.md +++ b/website/docs/reference/resource-configs/store_failures_as.md @@ -17,7 +17,7 @@ You can configure it in all the same places as `store_failures`, including singu #### Singular test -[Singular test](https://docs.getdbt.com/docs/build/tests#singular-tests) in `tests/singular/check_something.sql` file +[Singular test](https://docs.getdbt.com/docs/build/tests#singular-data-tests) in `tests/singular/check_something.sql` file ```sql {{ config(store_failures_as="table") }} From 7f758f499a464c32418d8f6d2b8601d3e9321761 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Thu, 7 Dec 2023 16:02:42 -0500 Subject: [PATCH 44/92] updating links --- website/blog/2022-04-19-complex-deduplication.md | 2 +- .../blog/2022-10-19-polyglot-dbt-python-dataframes-and-sql.md | 4 ++-- website/blog/2023-07-03-data-vault-2-0-with-dbt-cloud.md | 2 +- website/docs/guides/dbt-python-snowpark.md | 2 +- website/docs/reference/resource-configs/meta.md | 2 +- website/docs/reference/resource-configs/store_failures_as.md | 2 +- website/docs/reference/resource-properties/data-tests.md | 2 +- 7 files changed, 8 insertions(+), 8 deletions(-) diff --git a/website/blog/2022-04-19-complex-deduplication.md b/website/blog/2022-04-19-complex-deduplication.md index f8cece85b61..f33e6a8fe35 100644 --- a/website/blog/2022-04-19-complex-deduplication.md +++ b/website/blog/2022-04-19-complex-deduplication.md @@ -146,7 +146,7 @@ select * from filter_real_diffs > *What happens in this step? You check your data because you are thorough!* -Good thing dbt has already built this for you. Add a [unique test](/docs/build/data-tests#generic-tests) to your YAML model block for your `grain_id` in this de-duped staging model, and give it a dbt test! +Good thing dbt has already built this for you. Add a [unique test](/docs/build/data-tests#generic-data-tests) to your YAML model block for your `grain_id` in this de-duped staging model, and give it a dbt test! ```yaml models: diff --git a/website/blog/2022-10-19-polyglot-dbt-python-dataframes-and-sql.md b/website/blog/2022-10-19-polyglot-dbt-python-dataframes-and-sql.md index 9c04bd73a9a..694f6ddc105 100644 --- a/website/blog/2022-10-19-polyglot-dbt-python-dataframes-and-sql.md +++ b/website/blog/2022-10-19-polyglot-dbt-python-dataframes-and-sql.md @@ -133,9 +133,9 @@ This model tries to parse the raw string value into a Python datetime. When not #### Testing the result -During the build process, dbt will check if any of the values are null. This is using the built-in [`not_null`](https://docs.getdbt.com/docs/building-a-dbt-project/tests#generic-tests) test, which will generate and execute SQL in the data platform. +During the build process, dbt will check if any of the values are null. This is using the built-in [`not_null`](https://docs.getdbt.com/docs/building-a-dbt-project/tests#generic-data-tests) test, which will generate and execute SQL in the data platform. -Our initial recommendation for testing Python models is to use [generic](https://docs.getdbt.com/docs/building-a-dbt-project/tests#generic-tests) and [singular](https://docs.getdbt.com/docs/building-a-dbt-project/tests#singular-data-tests) tests. +Our initial recommendation for testing Python models is to use [generic](https://docs.getdbt.com/docs/building-a-dbt-project/tests#generic-data-tests) and [singular](https://docs.getdbt.com/docs/building-a-dbt-project/tests#singular-data-tests) tests. ```yaml version: 2 diff --git a/website/blog/2023-07-03-data-vault-2-0-with-dbt-cloud.md b/website/blog/2023-07-03-data-vault-2-0-with-dbt-cloud.md index 2a4879ac98d..6b1012a5320 100644 --- a/website/blog/2023-07-03-data-vault-2-0-with-dbt-cloud.md +++ b/website/blog/2023-07-03-data-vault-2-0-with-dbt-cloud.md @@ -143,7 +143,7 @@ To help you get started, [we have created a template GitHub project](https://git ### Entity Relation Diagrams (ERDs) and dbt -Data lineage is dbt's strength, but sometimes it's not enough to help you to understand the relationships between Data Vault components like a classic ERD would. There are a few open source packages to visualize the entities in your Data Vault built with dbt. I recommend checking out the [dbterd](https://dbterd.datnguyen.de/1.2/index.html) which turns your [dbt relationship data quality checks](https://docs.getdbt.com/docs/build/tests#generic-tests) into an ERD. +Data lineage is dbt's strength, but sometimes it's not enough to help you to understand the relationships between Data Vault components like a classic ERD would. There are a few open source packages to visualize the entities in your Data Vault built with dbt. I recommend checking out the [dbterd](https://dbterd.datnguyen.de/1.2/index.html) which turns your [dbt relationship data quality checks](https://docs.getdbt.com/docs/build/tests#generic-data-tests) into an ERD. ## Summary diff --git a/website/docs/guides/dbt-python-snowpark.md b/website/docs/guides/dbt-python-snowpark.md index fa39ed6d423..110445344e9 100644 --- a/website/docs/guides/dbt-python-snowpark.md +++ b/website/docs/guides/dbt-python-snowpark.md @@ -1720,7 +1720,7 @@ We test data models for mainly two reasons: - Ensure that our source data is clean on ingestion before we start data modeling/transformation (aka avoid garbage in, garbage out problem). - Make sure we don’t introduce bugs in the transformation code we wrote (stop ourselves from creating bad joins/fanouts). -Testing in dbt comes in two flavors: [generic](/docs/build/data-tests#generic-tests) and [singular](/docs/build/data-tests#singular-data-tests). +Testing in dbt comes in two flavors: [generic](/docs/build/data-tests#generic-data-tests) and [singular](/docs/build/data-tests#singular-data-tests). You define them in a test block (similar to a macro) and once defined, you can reference them by name in your `.yml` files (applying them to models, columns, sources, snapshots, and seeds). diff --git a/website/docs/reference/resource-configs/meta.md b/website/docs/reference/resource-configs/meta.md index 6a69536bb2a..bd9755548ab 100644 --- a/website/docs/reference/resource-configs/meta.md +++ b/website/docs/reference/resource-configs/meta.md @@ -127,7 +127,7 @@ See [configs and properties](/reference/configs-and-properties) for details. -You can't add YAML `meta` configs for [generic tests](/docs/build/data-tests#generic-tests). However, you can add `meta` properties to [singular tests](/docs/build/data-tests#singular-data-tests) using `config()` at the top of the test file. +You can't add YAML `meta` configs for [generic tests](/docs/build/data-tests#generic-data-tests). However, you can add `meta` properties to [singular tests](/docs/build/data-tests#singular-data-tests) using `config()` at the top of the test file. diff --git a/website/docs/reference/resource-configs/store_failures_as.md b/website/docs/reference/resource-configs/store_failures_as.md index 52ec2e3bd3a..e12c00c7fba 100644 --- a/website/docs/reference/resource-configs/store_failures_as.md +++ b/website/docs/reference/resource-configs/store_failures_as.md @@ -29,7 +29,7 @@ where 1=0 #### Generic test -[Generic tests](https://docs.getdbt.com/docs/build/tests#generic-tests) in `models/_models.yml` file +[Generic tests](https://docs.getdbt.com/docs/build/tests#generic-data-tests) in `models/_models.yml` file ```yaml models: diff --git a/website/docs/reference/resource-properties/data-tests.md b/website/docs/reference/resource-properties/data-tests.md index 96ee322efc0..7b658acf949 100644 --- a/website/docs/reference/resource-properties/data-tests.md +++ b/website/docs/reference/resource-properties/data-tests.md @@ -156,7 +156,7 @@ This feature is not implemented for analyses. ## Description -The data `tests` property defines assertions about a column, , or . The property contains a list of [generic tests](/docs/build/data-tests#generic-tests), referenced by name, which can include the four built-in generic tests available in dbt. For example, you can add tests that ensure a column contains no duplicates and zero null values. Any arguments or [configurations](/reference/data-test-configs) passed to those tests should be nested below the test name. +The data `tests` property defines assertions about a column, , or . The property contains a list of [generic tests](/docs/build/data-tests#generic-data-tests), referenced by name, which can include the four built-in generic tests available in dbt. For example, you can add tests that ensure a column contains no duplicates and zero null values. Any arguments or [configurations](/reference/data-test-configs) passed to those tests should be nested below the test name. Once these tests are defined, you can validate their correctness by running `dbt test`. From 1ba9c68e0f9eb90d6022890509f4d20e6d9c15f5 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Thu, 7 Dec 2023 16:07:26 -0500 Subject: [PATCH 45/92] Apply suggestions from code review Co-authored-by: Grace Goheen <53586774+graciegoheen@users.noreply.github.com> --- website/docs/docs/build/data-tests.md | 16 ++++++++-------- website/docs/docs/build/projects.md | 2 +- website/docs/docs/build/sources.md | 2 +- .../docs/collaborate/govern/model-contracts.md | 4 ++-- .../docs/faqs/Models/specifying-column-types.md | 2 +- website/docs/faqs/Tests/available-tests.md | 2 +- 6 files changed, 14 insertions(+), 14 deletions(-) diff --git a/website/docs/docs/build/data-tests.md b/website/docs/docs/build/data-tests.md index 32a50dba800..d981d7e272d 100644 --- a/website/docs/docs/build/data-tests.md +++ b/website/docs/docs/build/data-tests.md @@ -25,9 +25,9 @@ Like almost everything in dbt, data tests are SQL queries. In particular, they a There are two ways of defining data tests in dbt: * A **singular** data test is testing in its simplest form: If you can write a SQL query that returns failing rows, you can save that query in a `.sql` file within your [test directory](/reference/project-configs/test-paths). It's now a data test, and it will be executed by the `dbt test` command. -* A **generic** test is a parameterized query that accepts arguments. The test query is defined in a special `test` block (like a [macro](jinja-macros)). Once defined, you can reference the generic test by name throughout your `.yml` files—define it on models, columns, sources, snapshots, and seeds. dbt ships with four generic tests built in, and we think you should use them! +* A **generic** data test is a parameterized query that accepts arguments. The test query is defined in a special `test` block (like a [macro](jinja-macros)). Once defined, you can reference the generic test by name throughout your `.yml` files—define it on models, columns, sources, snapshots, and seeds. dbt ships with four generic data tests built in, and we think you should use them! -Defining data tests is a great way to confirm that your code is working correctly, and helps prevent regressions when your code changes. Because you can use them over and over again, making similar assertions with minor variations, generic data tests tend to be much more common—they should make up the bulk of your dbt testing suite. That said, both ways of defining data tests have their time and place. +Defining data tests is a great way to confirm that your outputs and inputs are as expected, and helps prevent regressions when your code changes. Because you can use them over and over again, making similar assertions with minor variations, generic data tests tend to be much more common—they should make up the bulk of your dbt data testing suite. That said, both ways of defining data tests have their time and place. :::tip Creating your first data tests If you're new to dbt, we recommend that you check out our [quickstart guide](/guides) to build your first dbt project with models and tests. @@ -35,9 +35,9 @@ If you're new to dbt, we recommend that you check out our [quickstart guide](/gu ## Singular data tests -The simplest way to define a data test is by writing the exact SQL that will return failing records. We call these "singular" tests, because they're one-off assertions usable for a single purpose. +The simplest way to define a data test is by writing the exact SQL that will return failing records. We call these "singular" data tests, because they're one-off assertions usable for a single purpose. -These tests are defined in `.sql` files, typically in your `tests` directory (as defined by your [`test-paths` config](/reference/project-configs/test-paths)). You can use Jinja (including `ref` and `source`) in the test definition, just like you can when creating models. Each `.sql` file contains one `select` statement, and it defines one test: +These tests are defined in `.sql` files, typically in your `tests` directory (as defined by your [`test-paths` config](/reference/project-configs/test-paths)). You can use Jinja (including `ref` and `source`) in the test definition, just like you can when creating models. Each `.sql` file contains one `select` statement, and it defines one data test: @@ -58,8 +58,8 @@ The name of this test is the name of the file: `assert_total_payment_amount_is_p Singular data tests are easy to write—so easy that you may find yourself writing the same basic structure over and over, only changing the name of a column or model. By that point, the test isn't so singular! In that case, we recommend... -## Generic tests -Certain data tests are generic: they can be reused over and over again. A generic test is defined in a `test` block, which contains a parametrized query and accepts arguments. It might look like: +## Generic data tests +Certain data tests are generic: they can be reused over and over again. A generic data test is defined in a `test` block, which contains a parametrized query and accepts arguments. It might look like: ```sql {% test not_null(model, column_name) %} @@ -108,11 +108,11 @@ In plain English, these data tests translate to: Behind the scenes, dbt constructs a `select` query for each data test, using the parametrized query from the generic test block. These queries return the rows where your assertion is _not_ true; if the test returns zero rows, your assertion passes. -You can find more information about these tests, and additional configurations (including [`severity`](/reference/resource-configs/severity) and [`tags`](/reference/resource-configs/tags)) in the [reference section](/reference/resource-properties/data-tests). +You can find more information about these data tests, and additional configurations (including [`severity`](/reference/resource-configs/severity) and [`tags`](/reference/resource-configs/tags)) in the [reference section](/reference/resource-properties/data-tests). ### More generic data tests -Those four tests are enough to get you started. You'll quickly find you want to use a wider variety of tests—a good thing! You can also install generic tests from a package, or write your own, to use (and reuse) across your dbt project. Check out the [guide on custom generic tests](/best-practices/writing-custom-generic-tests) for more information. +Those four tests are enough to get you started. You'll quickly find you want to use a wider variety of tests—a good thing! You can also install generic data tests from a package, or write your own, to use (and reuse) across your dbt project. Check out the [guide on custom generic tests](/best-practices/writing-custom-generic-tests) for more information. :::info There are generic tests defined in some open source packages, such as [dbt-utils](https://hub.getdbt.com/dbt-labs/dbt_utils/latest/) and [dbt-expectations](https://hub.getdbt.com/calogica/dbt_expectations/latest/) — skip ahead to the docs on [packages](/docs/build/packages) to learn more! diff --git a/website/docs/docs/build/projects.md b/website/docs/docs/build/projects.md index d268ec09920..c5e08177dee 100644 --- a/website/docs/docs/build/projects.md +++ b/website/docs/docs/build/projects.md @@ -14,7 +14,7 @@ At a minimum, all a project needs is the `dbt_project.yml` project configuration | [models](/docs/build/models) | Each model lives in a single file and contains logic that either transforms raw data into a dataset that is ready for analytics or, more often, is an intermediate step in such a transformation. | | [snapshots](/docs/build/snapshots) | A way to capture the state of your mutable tables so you can refer to it later. | | [seeds](/docs/build/seeds) | CSV files with static data that you can load into your data platform with dbt. | -| [tests](/docs/build/data-tests) | SQL queries that you can write to test the models and resources in your project. | +| [data tests](/docs/build/data-tests) | SQL queries that you can write to test the models and resources in your project. | | [macros](/docs/build/jinja-macros) | Blocks of code that you can reuse multiple times. | | [docs](/docs/collaborate/documentation) | Docs for your project that you can build. | | [sources](/docs/build/sources) | A way to name and describe the data loaded into your warehouse by your Extract and Load tools. | diff --git a/website/docs/docs/build/sources.md b/website/docs/docs/build/sources.md index ae6024a3e58..466bcedc688 100644 --- a/website/docs/docs/build/sources.md +++ b/website/docs/docs/build/sources.md @@ -88,7 +88,7 @@ Using the `{{ source () }}` function also creates a dependency between the model ### Testing and documenting sources You can also: -- Add tests to sources +- Add data tests to sources - Add descriptions to sources, that get rendered as part of your documentation site These should be familiar concepts if you've already added tests and descriptions to your models (if not check out the guides on [testing](/docs/build/data-tests) and [documentation](/docs/collaborate/documentation)). diff --git a/website/docs/docs/collaborate/govern/model-contracts.md b/website/docs/docs/collaborate/govern/model-contracts.md index a083c3e6d2b..8e7598f8e3b 100644 --- a/website/docs/docs/collaborate/govern/model-contracts.md +++ b/website/docs/docs/collaborate/govern/model-contracts.md @@ -183,9 +183,9 @@ Any model meeting the criteria described above _can_ define a contract. We recom A model's contract defines the **shape** of the returned dataset. If the model's logic or input data doesn't conform to that shape, the model does not build. -[Tests](/docs/build/data-tests) are a more flexible mechanism for validating the content of your model _after_ it's built. So long as you can write the query, you can run the test. Tests are more configurable, such as with [custom severity thresholds](/reference/resource-configs/severity). They are easier to debug after finding failures, because you can query the already-built model, or [store the failing records in the data warehouse](/reference/resource-configs/store_failures). +[Data Tests](/docs/build/data-tests) are a more flexible mechanism for validating the content of your model _after_ it's built. So long as you can write the query, you can run the data test. Data tests are more configurable, such as with [custom severity thresholds](/reference/resource-configs/severity). They are easier to debug after finding failures, because you can query the already-built model, or [store the failing records in the data warehouse](/reference/resource-configs/store_failures). -In some cases, you can replace a test with its equivalent constraint. This has the advantage of guaranteeing the validation at build time, and it probably requires less compute (cost) in your data platform. The prerequisites for replacing a test with a constraint are: +In some cases, you can replace a data test with its equivalent constraint. This has the advantage of guaranteeing the validation at build time, and it probably requires less compute (cost) in your data platform. The prerequisites for replacing a data test with a constraint are: - Making sure that your data platform can support and enforce the constraint that you need. Most platforms only enforce `not_null`. - Materializing your model as `table` or `incremental` (**not** `view` or `ephemeral`). - Defining a full contract for this model by specifying the `name` and `data_type` of each column. diff --git a/website/docs/faqs/Models/specifying-column-types.md b/website/docs/faqs/Models/specifying-column-types.md index ff29085f160..904c616d89a 100644 --- a/website/docs/faqs/Models/specifying-column-types.md +++ b/website/docs/faqs/Models/specifying-column-types.md @@ -38,6 +38,6 @@ So long as your model queries return the correct column type, the table you crea To define additional column options: -* Rather than enforcing uniqueness and not-null constraints on your column, use dbt's [testing](/docs/build/data-tests) functionality to check that your assertions about your model hold true. +* Rather than enforcing uniqueness and not-null constraints on your column, use dbt's [data testing](/docs/build/data-tests) functionality to check that your assertions about your model hold true. * Rather than creating default values for a column, use SQL to express defaults (e.g. `coalesce(updated_at, current_timestamp()) as updated_at`) * In edge-cases where you _do_ need to alter a column (e.g. column-level encoding on Redshift), consider implementing this via a [post-hook](/reference/resource-configs/pre-hook-post-hook). diff --git a/website/docs/faqs/Tests/available-tests.md b/website/docs/faqs/Tests/available-tests.md index 225331d2256..2b5fd3ff55c 100644 --- a/website/docs/faqs/Tests/available-tests.md +++ b/website/docs/faqs/Tests/available-tests.md @@ -12,6 +12,6 @@ Out of the box, dbt ships with the following tests: * `accepted_values` * `relationships` (i.e. referential integrity) -You can also write your own [custom schema tests](/docs/build/data-tests). +You can also write your own [custom schema data tests](/docs/build/data-tests). Some additional custom schema tests have been open-sourced in the [dbt-utils package](https://github.com/dbt-labs/dbt-utils/tree/0.2.4/#schema-tests), check out the docs on [packages](/docs/build/packages) to learn how to make these tests available in your project. From f967d2db344309dc1fd37962f45040adea651dd2 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Thu, 7 Dec 2023 16:13:55 -0500 Subject: [PATCH 46/92] Apply suggestions from code review Co-authored-by: Grace Goheen <53586774+graciegoheen@users.noreply.github.com> --- website/docs/reference/configs-and-properties.md | 4 ++-- website/docs/reference/model-properties.md | 8 ++++---- website/docs/reference/resource-configs/alias.md | 2 +- website/docs/reference/resource-configs/database.md | 2 +- .../docs/reference/resource-configs/store_failures_as.md | 4 ++-- website/docs/reference/resource-properties/data-tests.md | 4 ++-- website/docs/terms/data-wrangling.md | 2 +- 7 files changed, 13 insertions(+), 13 deletions(-) diff --git a/website/docs/reference/configs-and-properties.md b/website/docs/reference/configs-and-properties.md index c96fe7be299..9464faf719d 100644 --- a/website/docs/reference/configs-and-properties.md +++ b/website/docs/reference/configs-and-properties.md @@ -11,7 +11,7 @@ A rule of thumb: properties declare things _about_ your project resources; confi For example, you can use resource **properties** to: * Describe models, snapshots, seed files, and their columns -* Assert "truths" about a model, in the form of [tests](/docs/build/data-tests), e.g. "this `id` column is unique" +* Assert "truths" about a model, in the form of [data tests](/docs/build/data-tests), e.g. "this `id` column is unique" * Define pointers to existing tables that contain raw data, in the form of [sources](/docs/build/sources), and assert the expected "freshness" of this raw data * Define official downstream uses of your data models, in the form of [exposures](/docs/build/exposures) @@ -33,7 +33,7 @@ Depending on the resource type, configurations can be defined: dbt prioritizes configurations in order of specificity, from most specificity to least specificity. This generally follows the order above: an in-file `config()` block --> properties defined in a `.yml` file --> config defined in the project file. -Note - Generic tests work a little differently when it comes to specificity. See [test configs](/reference/data-test-configs). +Note - Generic data tests work a little differently when it comes to specificity. See [test configs](/reference/data-test-configs). Within the project file, configurations are also applied hierarchically. The most specific config always "wins": In the project file, configurations applied to a `marketing` subdirectory will take precedence over configurations applied to the entire `jaffle_shop` project. To apply a configuration to a model, or directory of models, define the resource path as nested dictionary keys. diff --git a/website/docs/reference/model-properties.md b/website/docs/reference/model-properties.md index a384307678f..65f9307b5b3 100644 --- a/website/docs/reference/model-properties.md +++ b/website/docs/reference/model-properties.md @@ -25,7 +25,7 @@ models: - [tests](/reference/resource-properties/data-tests): - - - ... # declare additional tests + - ... # declare additional data tests [columns](/reference/resource-properties/columns): - name: # required [description](/reference/resource-properties/description): @@ -35,7 +35,7 @@ models: - [tests](/reference/resource-properties/data-tests): - - - ... # declare additional tests + - ... # declare additional data tests [tags](/reference/resource-configs/tags): [] - name: ... # declare properties of additional columns @@ -53,7 +53,7 @@ models: [](/reference/model-configs): [tests](/reference/resource-properties/data-tests): - - - ... # declare additional tests + - ... # declare additional data tests columns: # include/exclude columns from the top-level model properties - [include](/reference/resource-properties/include-exclude): @@ -65,7 +65,7 @@ models: - [tests](/reference/resource-properties/data-tests): - - - ... # declare additional tests + - ... # declare additional data tests [tags](/reference/resource-configs/tags): [] - v: ... # declare additional versions diff --git a/website/docs/reference/resource-configs/alias.md b/website/docs/reference/resource-configs/alias.md index fbedb4597e6..e1d3ae41f8b 100644 --- a/website/docs/reference/resource-configs/alias.md +++ b/website/docs/reference/resource-configs/alias.md @@ -112,7 +112,7 @@ When using `--store-failures`, this would return the name `analytics.finance.ord ## Definition -Optionally specify a custom alias for a [model](/docs/build/models), [tests](/docs/build/data-tests), [snapshots](/docs/build/snapshots), or [seed](/docs/build/seeds). +Optionally specify a custom alias for a [model](/docs/build/models), [data test](/docs/build/data-tests), [snapshot](/docs/build/snapshots), or [seed](/docs/build/seeds). When dbt creates a relation (/) in a database, it creates it as: `{{ database }}.{{ schema }}.{{ identifier }}`, e.g. `analytics.finance.payments` diff --git a/website/docs/reference/resource-configs/database.md b/website/docs/reference/resource-configs/database.md index 82c7b2cca92..19c9eca272d 100644 --- a/website/docs/reference/resource-configs/database.md +++ b/website/docs/reference/resource-configs/database.md @@ -70,7 +70,7 @@ This would result in the generated relation being located in the `reporting` dat ## Definition -Optionally specify a custom database for a [model](/docs/build/sql-models), [seed](/docs/build/seeds), or [tests](/docs/build/data-tests). (To specify a database for a [snapshot](/docs/build/snapshots), use the [`target_database` config](/reference/resource-configs/target_database)). +Optionally specify a custom database for a [model](/docs/build/sql-models), [seed](/docs/build/seeds), or [data test](/docs/build/data-tests). (To specify a database for a [snapshot](/docs/build/snapshots), use the [`target_database` config](/reference/resource-configs/target_database)). When dbt creates a relation (/) in a database, it creates it as: `{{ database }}.{{ schema }}.{{ identifier }}`, e.g. `analytics.finance.payments` diff --git a/website/docs/reference/resource-configs/store_failures_as.md b/website/docs/reference/resource-configs/store_failures_as.md index e12c00c7fba..08ae10e5309 100644 --- a/website/docs/reference/resource-configs/store_failures_as.md +++ b/website/docs/reference/resource-configs/store_failures_as.md @@ -70,7 +70,7 @@ As with most other configurations, `store_failures_as` is "clobbered" when appli Additional resources: -- [Test configurations](/reference/data-test-configs#related-documentation) -- [Test-specific configurations](/reference/data-test-configs#test-specific-configurations) +- [Data test configurations](/reference/data-test-configs#related-documentation) +- [Data test-specific configurations](/reference/data-test-configs#test-specific-configurations) - [Configuring directories of models in dbt_project.yml](/reference/model-configs#configuring-directories-of-models-in-dbt_projectyml) - [Config inheritance](/reference/configs-and-properties#config-inheritance) \ No newline at end of file diff --git a/website/docs/reference/resource-properties/data-tests.md b/website/docs/reference/resource-properties/data-tests.md index 7b658acf949..ce557ebeb4f 100644 --- a/website/docs/reference/resource-properties/data-tests.md +++ b/website/docs/reference/resource-properties/data-tests.md @@ -152,7 +152,7 @@ This feature is not implemented for analyses. ## Related documentation -* [Testing guide](/docs/build/data-tests) +* [Data testing guide](/docs/build/data-tests) ## Description @@ -262,7 +262,7 @@ The `to` argument accepts a [Relation](/reference/dbt-classes#relation) – this ## Additional examples ### Test an expression -Some data tests require multiple columns, so it doesn't make sense to nest them under the `columns:` key. In this case, you can apply the test to the model (or source, seed, or snapshot) instead: +Some data tests require multiple columns, so it doesn't make sense to nest them under the `columns:` key. In this case, you can apply the data test to the model (or source, seed, or snapshot) instead: diff --git a/website/docs/terms/data-wrangling.md b/website/docs/terms/data-wrangling.md index 2fbb8d41942..e1aabdea8bd 100644 --- a/website/docs/terms/data-wrangling.md +++ b/website/docs/terms/data-wrangling.md @@ -150,7 +150,7 @@ For nested data types such as JSON, you’ll want to check out the JSON parsing ### Validating -dbt offers [generic tests](/docs/build/data-tests#more-generic-tests) in every dbt project that allows you to validate accepted, unique, and null values. They also allow you to validate the relationships between tables and that the primary key is unique. +dbt offers [generic data tests](/docs/build/data-tests#more-generic-tests) in every dbt project that allows you to validate accepted, unique, and null values. They also allow you to validate the relationships between tables and that the primary key is unique. If you can’t find what you need with the generic tests, you can download an additional dbt testing package called [dbt_expectations](https://hub.getdbt.com/calogica/dbt_expectations/0.1.2/) that dives even deeper into how you can test the values in your columns. This package has useful data tests like `expect_column_values_to_be_in_type_list`, `expect_column_values_to_be_between`, and `expect_column_value_lengths_to_equal`. From 428d05e562808ff9d13bad1abd2665061794821f Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Thu, 7 Dec 2023 19:00:59 -0500 Subject: [PATCH 47/92] #custon --- website/docs/reference/resource-configs/store_failures_as.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/reference/resource-configs/store_failures_as.md b/website/docs/reference/resource-configs/store_failures_as.md index e12c00c7fba..e9ca1ce4c5b 100644 --- a/website/docs/reference/resource-configs/store_failures_as.md +++ b/website/docs/reference/resource-configs/store_failures_as.md @@ -71,6 +71,6 @@ As with most other configurations, `store_failures_as` is "clobbered" when appli Additional resources: - [Test configurations](/reference/data-test-configs#related-documentation) -- [Test-specific configurations](/reference/data-test-configs#test-specific-configurations) +- [Test-specific configurations](/reference/data-test-configs#test-data-specific-configurations) - [Configuring directories of models in dbt_project.yml](/reference/model-configs#configuring-directories-of-models-in-dbt_projectyml) - [Config inheritance](/reference/configs-and-properties#config-inheritance) \ No newline at end of file From b8e3a12b3baac6c5ac3312a06dd04d431c4f2386 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Thu, 7 Dec 2023 19:05:00 -0500 Subject: [PATCH 48/92] Fixin links --- 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 e1aabdea8bd..46a14a25949 100644 --- a/website/docs/terms/data-wrangling.md +++ b/website/docs/terms/data-wrangling.md @@ -150,7 +150,7 @@ For nested data types such as JSON, you’ll want to check out the JSON parsing ### Validating -dbt offers [generic data tests](/docs/build/data-tests#more-generic-tests) in every dbt project that allows you to validate accepted, unique, and null values. They also allow you to validate the relationships between tables and that the primary key is unique. +dbt offers [generic data tests](/docs/build/data-tests#more-generic-data-tests) in every dbt project that allows you to validate accepted, unique, and null values. They also allow you to validate the relationships between tables and that the primary key is unique. If you can’t find what you need with the generic tests, you can download an additional dbt testing package called [dbt_expectations](https://hub.getdbt.com/calogica/dbt_expectations/0.1.2/) that dives even deeper into how you can test the values in your columns. This package has useful data tests like `expect_column_values_to_be_in_type_list`, `expect_column_values_to_be_between`, and `expect_column_value_lengths_to_equal`. 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 49/92] 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 50/92] 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 07:14:15 -0500 Subject: [PATCH 51/92] 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 52/92] 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 53/92] 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 54/92] 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 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 55/92] 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 aa7b29da2104fca529a615f0d1eddbc0224c145e Mon Sep 17 00:00:00 2001 From: Mike Alfare Date: Fri, 8 Dec 2023 15:32:25 -0500 Subject: [PATCH 56/92] 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 57/92] 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 58/92] 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 b6a08ea56cf65415976626e9e3dfda0bc098cdd9 Mon Sep 17 00:00:00 2001 From: Jordan Stein Date: Mon, 11 Dec 2023 20:03:57 -0800 Subject: [PATCH 59/92] 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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Once you have set up your Host and Token and are able to run `databricks workspace ls /Users/`, you can proceed with the rest of this guide. -## Configure Databricks workflows for dbt Cloud jobs - -To use Databricks workflows for running dbt Cloud jobs, you need to perform the following steps: - -- [Set up a Databricks secret scope](#set-up-a-databricks-secret-scope) -- [Create a Databricks Python notebook](#create-a-databricks-python-notebook) -- [Configure the workflows to run the dbt Cloud jobs](#configure-the-workflows-to-run-the-dbt-cloud-jobs) - ## Set up a Databricks secret scope 1. Retrieve **[User API Token](https://docs.getdbt.com/docs/dbt-cloud-apis/user-tokens#user-api-tokens) **or **[Service Account Token](https://docs.getdbt.com/docs/dbt-cloud-apis/service-tokens#generating-service-account-tokens) **from dbt Cloud From 52c289c47c2467f09dea2a917dd530b4d4ef889a Mon Sep 17 00:00:00 2001 From: Thomas Lento Date: Tue, 12 Dec 2023 09:05:49 -0800 Subject: [PATCH 61/92] 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 62/92] 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 63/92] 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 64/92] 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 65/92] 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 66/92] 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 67/92] 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 68/92] 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 69/92] 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 70/92] 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 71/92] 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 72/92] 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 73/92] 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 74/92] 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 75/92] 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 76/92] 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 77/92] 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 78/92] 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 79/92] 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 80/92] 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 81/92] 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 82/92] 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 83/92] 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 84/92] 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 85/92] 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 86/92] 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 87/92] 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 88/92] 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`. From b5274a89e6e5a53fea4559208283fa0c9390bbe8 Mon Sep 17 00:00:00 2001 From: Doug Beatty <44704949+dbeatty10@users.noreply.github.com> Date: Thu, 14 Dec 2023 08:00:17 -0700 Subject: [PATCH 89/92] Dynamic default `incremental_strategy` for dbt-postgres --- .../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 8465a5cbb31..fcc0d91a47c 100644 --- a/website/docs/reference/resource-configs/postgres-configs.md +++ b/website/docs/reference/resource-configs/postgres-configs.md @@ -10,16 +10,16 @@ In dbt-postgres, the following incremental materialization strategies are suppor -- `append` (default) -- `delete+insert` +- `append` (default when `unique_key` is not defined) +- `delete+insert` (default when `unique_key` is defined) -- `append` (default) +- `append` (default when `unique_key` is not defined) - `merge` -- `delete+insert` +- `delete+insert` (default when `unique_key` is defined) From c5261be89222a50c2b50c636a8fe2d87ca4e9770 Mon Sep 17 00:00:00 2001 From: Doug Beatty <44704949+dbeatty10@users.noreply.github.com> Date: Thu, 14 Dec 2023 08:02:37 -0700 Subject: [PATCH 90/92] Dynamic default `incremental_strategy` for dbt-redshift --- .../reference/resource-configs/redshift-configs.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/website/docs/reference/resource-configs/redshift-configs.md b/website/docs/reference/resource-configs/redshift-configs.md index b559c0451b0..85b2af0c552 100644 --- a/website/docs/reference/resource-configs/redshift-configs.md +++ b/website/docs/reference/resource-configs/redshift-configs.md @@ -16,16 +16,16 @@ In dbt-redshift, the following incremental materialization strategies are suppor -- `append` (default) -- `delete+insert` - +- `append` (default when `unique_key` is not defined) +- `delete+insert` (default when `unique_key` is defined) + -- `append` (default) +- `append` (default when `unique_key` is not defined) - `merge` -- `delete+insert` +- `delete+insert` (default when `unique_key` is defined) From 3b5db5cca2f31756b61b49d3cdf579b8592f13f9 Mon Sep 17 00:00:00 2001 From: Doug Beatty <44704949+dbeatty10@users.noreply.github.com> Date: Thu, 14 Dec 2023 12:32:05 -0700 Subject: [PATCH 91/92] `merge` is the default `incremental_strategy` since dbt-databricks 1.0.0 (#4653) ### Previews - [Incremental strategies](https://docs-getdbt-com-git-dbeatty-dbt-databricks-merg-0a4e67-dbt-labs.vercel.app/reference/resource-configs/databricks-configs#incremental-models) - [`merge` strategy](https://docs-getdbt-com-git-dbeatty-dbt-databricks-merg-0a4e67-dbt-labs.vercel.app//reference/resource-configs/databricks-configs#the-merge-strategy) - [`append` strategy](https://docs-getdbt-com-git-dbeatty-dbt-databricks-merg-0a4e67-dbt-labs.vercel.app/reference/resource-configs/databricks-configs#the-append-strategy) ## What are you changing in this pull request and why? `merge` has been the default incremental strategy for dbt-databricks since [1.0.0](https://github.com/databricks/dbt-databricks/blob/7ad5507a8a38bde682bb28eb37466bbfc341ac94/CHANGELOG.md?plain=1#L404) ## Checklist - [x] Review the [Content style guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md) so my content adheres to these guidelines. --------- Co-authored-by: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> --- .../docs/reference/resource-configs/databricks-configs.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/website/docs/reference/resource-configs/databricks-configs.md b/website/docs/reference/resource-configs/databricks-configs.md index fb3c9e7f5c3..677cad57ce6 100644 --- a/website/docs/reference/resource-configs/databricks-configs.md +++ b/website/docs/reference/resource-configs/databricks-configs.md @@ -38,9 +38,9 @@ When materializing a model as `table`, you may include several optional configs ## Incremental models dbt-databricks plugin leans heavily on the [`incremental_strategy` config](/docs/build/incremental-models#about-incremental_strategy). This config tells the incremental materialization how to build models in runs beyond their first. It can be set to one of four values: - - **`append`** (default): Insert new records without updating or overwriting any existing data. + - **`append`**: Insert new records without updating or overwriting any existing data. - **`insert_overwrite`**: If `partition_by` is specified, overwrite partitions in the with new data. If no `partition_by` is specified, overwrite the entire table with new data. - - **`merge`** (Delta and Hudi file format only): Match records based on a `unique_key`, updating old records, and inserting new ones. (If no `unique_key` is specified, all new data is inserted, similar to `append`.) + - **`merge`** (default; Delta and Hudi file format only): Match records based on a `unique_key`, updating old records, and inserting new ones. (If no `unique_key` is specified, all new data is inserted, similar to `append`.) - **`replace_where`** (Delta file format only): Match records based on `incremental_predicates`, replacing all records that match the predicates from the existing table with records matching the predicates from the new data. (If no `incremental_predicates` are specified, all new data is inserted, similar to `append`.) Each of these strategies has its pros and cons, which we'll discuss below. As with any model config, `incremental_strategy` may be specified in `dbt_project.yml` or within a model file's `config()` block. @@ -49,8 +49,6 @@ Each of these strategies has its pros and cons, which we'll discuss below. As wi Following the `append` strategy, dbt will perform an `insert into` statement with all new data. The appeal of this strategy is that it is straightforward and functional across all platforms, file types, connection methods, and Apache Spark versions. However, this strategy _cannot_ update, overwrite, or delete existing data, so it is likely to insert duplicate records for many data sources. -Specifying `append` as the incremental strategy is optional, since it's the default strategy used when none is specified. - Date: Thu, 14 Dec 2023 13:17:06 -0700 Subject: [PATCH 92/92] Display supported incremental strategies in a tabular format (#4649) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit [Preview](https://docs-getdbt-com-git-dbeatty-tabular-incremental-326e95-dbt-labs.vercel.app/docs/build/incremental-models#supported-incremental-strategies-by-adapter) resolves #4634 ## What are you changing in this pull request and why? The main aim is to be able to easily answer each of these questions: - which adapters support the `delete+insert` strategy? - what are the names of the standard incremental strategies that are supported in at least one adapter? - what are the names of the standard incremental strategies that are supported most frequently? - what are the names of the standard incremental strategies that are supported least frequently? A tabular representation with one column per strategy is the easiest way to answer all of the above. ## Design decisions to be made 1. Style of the icons 1. Number of tables ### Style of the icons Any of these could work: ✅ - Green check mark ✔️ - Heavy check mark 🟢 - Green circle We probably wouldn't choose any of these: ☑️ - Ballot box with check 🆗 - OK button 👍 - Thumbs up etc. ### Number of tables We have several options: 1. Keep the status quo 1. Split into two tables: one for the available strategies, and another for the defaults 1. Keep a single table, keeping the "default strategy" column, but replacing the "additional supported strategies" with one column per strategy 1. Defer the default strategy information to each adapter-specific config page instead (see [dbt-bigquery](https://docs.getdbt.com/reference/resource-configs/bigquery-configs#merge-behavior-incremental-models) or [dbt-redshift](https://docs.getdbt.com/reference/resource-configs/redshift-configs#incremental-materialization-strategies) for examples) ### Trade-offs I strongly prefer not staying with the status quo, or I wouldn't have opened this issue 🤣 Splitting into two separate tables would solve the key problem, but at the cost of taking up more vertical space on the page. Keeping a single table but refactoring it would work for me. Completely moving the default strategy information into the adapter-specific pages might be the best of all worlds. It would solve the problem at hand while preserving documentation about the default strategy that is relevant for a particular adapter. dbt-postgres and dbt-redshift in particular have caveats related to the default -- it will change [depending if a `unique_key` is defined ](https://github.com/dbt-labs/docs.getdbt.com/issues/4651)or not. ## 🎩 [Preview](https://docs-getdbt-com-git-dbeatty-tabular-incremental-326e95-dbt-labs.vercel.app/docs/build/incremental-models#supported-incremental-strategies-by-adapter) ### v3 (final) image image ### v2 image ### v1 **Note:** I've since removed the 2nd table that has the defaults, but here's what it looked like with them: image image ## Checklist - [x] Review the [Content style guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md) so my content adheres to these guidelines. --------- Co-authored-by: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> --- website/docs/docs/build/incremental-models.md | 38 +++++++++---------- 1 file changed, 18 insertions(+), 20 deletions(-) diff --git a/website/docs/docs/build/incremental-models.md b/website/docs/docs/build/incremental-models.md index 01a392c12fe..46788758ee6 100644 --- a/website/docs/docs/build/incremental-models.md +++ b/website/docs/docs/build/incremental-models.md @@ -249,31 +249,29 @@ 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` | `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`, `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` | +| data platform adapter | `append` | `merge` | `delete+insert` | `insert_overwrite` | +|-----------------------------------------------------------------------------------------------------|:--------:|:-------:|:---------------:|:------------------:| +| [dbt-postgres](/reference/resource-configs/postgres-configs#incremental-materialization-strategies) | ✅ | | ✅ | | +| [dbt-redshift](/reference/resource-configs/redshift-configs#incremental-materialization-strategies) | ✅ | | ✅ | | +| [dbt-bigquery](/reference/resource-configs/bigquery-configs#merge-behavior-incremental-models) | | ✅ | | ✅ | +| [dbt-spark](/reference/resource-configs/spark-configs#incremental-models) | ✅ | ✅ | | ✅ | +| [dbt-databricks](/reference/resource-configs/databricks-configs#incremental-models) | ✅ | ✅ | | ✅ | +| [dbt-snowflake](/reference/resource-configs/snowflake-configs#merge-behavior-incremental-models) | ✅ | ✅ | ✅ | | +| [dbt-trino](/reference/resource-configs/trino-configs#incremental) | ✅ | ✅ | ✅ | | - -| 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-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` | +| data platform adapter | `append` | `merge` | `delete+insert` | `insert_overwrite` | +|-----------------------------------------------------------------------------------------------------|:--------:|:-------:|:---------------:|:------------------:| +| [dbt-postgres](/reference/resource-configs/postgres-configs#incremental-materialization-strategies) | ✅ | ✅ | ✅ | | +| [dbt-redshift](/reference/resource-configs/redshift-configs#incremental-materialization-strategies) | ✅ | ✅ | ✅ | | +| [dbt-bigquery](/reference/resource-configs/bigquery-configs#merge-behavior-incremental-models) | | ✅ | | ✅ | +| [dbt-spark](/reference/resource-configs/spark-configs#incremental-models) | ✅ | ✅ | | ✅ | +| [dbt-databricks](/reference/resource-configs/databricks-configs#incremental-models) | ✅ | ✅ | | ✅ | +| [dbt-snowflake](/reference/resource-configs/snowflake-configs#merge-behavior-incremental-models) | ✅ | ✅ | ✅ | | +| [dbt-trino](/reference/resource-configs/trino-configs#incremental) | ✅ | ✅ | ✅ | |