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dbt_github_source v0.5.0

🚨 Breaking Changes 🚨

  • Addition of the label source table. This was necessary as the issue_label depreciated the label column. The respective label information will now be synced within the label table. (#22)
    • If you do not have the new label table in your source, we highly recommend you enable schema changes on your connector and kick off a resync to see the new tables reflected in your source.

dbt_github_source v0.4.1

Fixes

  • Added the {{ dbt_utils.type_timestamp() }} cast function to timestamp fields within the staging models. This is required for Redshift users that have the fields originally synced as timestamptz. Without the casting of fields the downstream date functions will fail. (#19)

dbt_github_source v0.4.0

🎉 dbt v1.0.0 Compatibility 🎉

🚨 Breaking Changes 🚨

  • Adjusts the require-dbt-version to now be within the range [">=1.0.0", "<2.0.0"]. Additionally, the package has been updated for dbt v1.0.0 compatibility. If you are using a dbt version <1.0.0, you will need to upgrade in order to leverage the latest version of the package.
    • For help upgrading your package, I recommend reviewing this GitHub repo's Release Notes on what changes have been implemented since your last upgrade.
    • For help upgrading your dbt project to dbt v1.0.0, I recommend reviewing dbt-labs upgrading to 1.0.0 docs for more details on what changes must be made.
  • Upgrades the package dependency to refer to the latest dbt_fivetran_utils. The latest dbt_fivetran_utils package also has a dependency on dbt_utils [">=0.8.0", "<0.9.0"].
    • Please note, if you are installing a version of dbt_utils in your packages.yml that is not in the range above then you will encounter a package dependency error.

dbt_github_source v0.1.0 -> v0.3.0

Refer to the relevant release notes on the Github repository for specific details for the previous releases. Thank you!