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dbt_pardot v0.6.0

🎉 Feature Update 🎉

  • Databricks compatibility! (#13)

🚘 Under the Hood 🚘

  • Incorporated the new fivetran_utils.drop_schemas_automation macro into the end of each Buildkite integration test job. (#11)
  • Updated the pull request templates. (#11)

dbt_pardot v0.5.0

PR #9 includes the following breaking changes:

🚨 Breaking Changes 🚨:

  • Dispatch update for dbt-utils to dbt-core cross-db macros migration. Specifically {{ dbt_utils.<macro> }} have been updated to {{ dbt.<macro> }} for the below macros:
    • any_value
    • bool_or
    • cast_bool_to_text
    • concat
    • date_trunc
    • dateadd
    • datediff
    • escape_single_quotes
    • except
    • hash
    • intersect
    • last_day
    • length
    • listagg
    • position
    • replace
    • right
    • safe_cast
    • split_part
    • string_literal
    • type_bigint
    • type_float
    • type_int
    • type_numeric
    • type_string
    • type_timestamp
    • array_append
    • array_concat
    • array_construct
  • For current_timestamp and current_timestamp_in_utc macros, the dispatch AND the macro names have been updated to the below, respectively:
    • dbt.current_timestamp_backcompat
    • dbt.current_timestamp_in_utc_backcompat
  • dbt_utils.surrogate_key has also been updated to dbt_utils.generate_surrogate_key. Since the method for creating surrogate keys differ, we suggest all users do a full-refresh for the most accurate data. For more information, please refer to dbt-utils release notes for this update.
  • Dependencies on fivetran/fivetran_utils have been upgraded, previously [">=0.3.0", "<0.4.0"] now [">=0.4.0", "<0.5.0"].

🎉 Documentation and Feature Updates 🎉:

  • Updated README documentation for easier navigation and dbt package setup.

dbt_pardot 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_pardot_source. Additionally, the latest dbt_pardot_source package has a dependency on the latest dbt_fivetran_utils. Further, 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_pardot 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!