Update yml vars for running in same project #985
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I have added the snowplow__user_mapping_source: "{{ ref('snowplow_unified_user_mapping') }}" to the yml vars for running the attribution in the same project as unified. This is required for the model to run successfully. I have also updated a broken link to the unified package.
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johnmicahreid
requested review from
agnessnowplow and
ilias1111
and removed request for
agnessnowplow
agnessnowplow
approved these changes
Oct 30, 2024
| @@ -96,11 +96,12 @@ Your channel and spend data will be summed separately in the `attribution_overvi | |||
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| <details> | |||
| <summary>Running both Unified and Attribution dbt packages from the same project</summary> | |||
| Although auto-deployed packages managed via Console run in separate projects, for others there may be use cases when it is more practical to run both the [Unified Digital](/docs/modeling-your-data/modeling-your-data-with-dbt/dbt-models/dbt-unified-data-model/index.md) and Attribution dbt packages from the same project. We purposefully did not directly link the two packages and this method of running is non-standard but there is a way to make it work. When specifying the sources just make sure you change the default source references to: ref('') instead of hard coding the schema.table_name for these variables: | |||
| Although auto-deployed packages managed via Console run in separate projects, for others there may be use cases when it is more practical to run both the [Unified Digital](/docs/modeling-your-data/modeling-your-data-with-dbt/dbt-models/dbt-unified-data-model/) and Attribution dbt packages from the same project. We purposefully did not directly link the two packages and this method of running is non-standard but there is a way to make it work. When specifying the sources just make sure you change the default source references to: ref('') instead of hard coding the schema.table_name for these variables: | |||
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| Although auto-deployed packages managed via Console run in separate projects, for others there may be use cases when it is more practical to run both the [Unified Digital](/docs/modeling-your-data/modeling-your-data-with-dbt/dbt-models/dbt-unified-data-model/) and Attribution dbt packages from the same project. We purposefully did not directly link the two packages and this method of running is non-standard but there is a way to make it work. When specifying the sources just make sure you change the default source references to: ref('') instead of hard coding the schema.table_name for these variables: | |
| Although auto-deployed packages managed via Console run in separate projects, for others there may be use cases when it is more practical to run both the Unified Digital and Attribution dbt packages from the same project. We purposefully did not directly link the two packages and this method of running is non-standard but there is a way to make it work. When specifying the sources just make sure you change the default source references to: ref('') instead of hard coding the schema.table_name for these variables: |
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I have added the snowplow__user_mapping_source: "{{ ref('snowplow_unified_user_mapping') }}" to the yml vars for running the attribution in the same project as unified. This is required for the model to run successfully. I have also updated a broken link to the unified package.