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Releases: fivetran/dbt_reddit_ads

v0.2.1 dbt_reddit_ads

14 Dec 19:32
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PR #8 includes the following updates:

Bug Fixes

  • This package now leverages the new reddit_ads_extract_url_parameter() macro for use in parsing out url parameters. This was added to create special logic for Databricks instances not supported by dbt_utils.get_url_parameter().
    • This macro will be replaced with the fivetran_utils.extract_url_parameter() macro in the next breaking change of this package.

Under the Hood

  • Included auto-releaser GitHub Actions workflow to automate future releases.

Full Changelog: v0.2.0...v0.2.1

v0.2.0 dbt_reddit_ads

12 Oct 20:27
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PR #5 includes the following updates:

Feature update 🎉

Under the hood 🚘

  • In the source package, updated tmp models to union source data using the fivetran_utils.union_data macro.
  • To distinguish which source each field comes from, added source_relation column in each staging and downstream model and applied the fivetran_utils.source_relation macro.
    • The source_relation column is included in all joins in the transform package.
  • Updated tests to account for the new source_relation column.
  • Incorporated the new fivetran_utils.drop_schemas_automation macro into the end of each Buildkite integration test job.
  • Updated the pull request templates.

Full Changelog: v0.1.0...v0.2.0

v0.1.0 dbt_reddit_ads

15 Mar 15:50
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🎉 Initial Release 🎉

  • Introducing the Reddit Ads package!

📣 What does this dbt package do?

  • Produces modeled tables that leverage Reddit Ads data from Fivetran's connector in the format described by this ERD and builds off the output of our Reddit Ads source package.
  • Enables you to better understand the performance of your ads across varying grains:
    • Providing an account, campaign, ad group, ad, and URL level reports.
  • Materializes output models designed to work simultaneously with our multi-platform Ad Reporting package.
  • Generates a comprehensive data dictionary of your source and modeled Reddit Ads data through the dbt docs site.

For more information refer to the README.