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Releases: fivetran/dbt_facebook_ads

v0.7.2 dbt_facebook_ads

14 Dec 17:24
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PR #38 includes the following updates:

Bug Fixes

  • This package now leverages the new facebook_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: v0.7.1...v0.7.2

v0.7.1 dbt_facebook_ads

08 Nov 16:41
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PR #36 includes the following updates:

Documentation Updates

  • The prerequisite steps in the README for generating the basic_ad pre-built report have been modified to reflect the current state of the Facebook Ads connector.
  • Adds the DECISIONLOG to clarify why there exist differences among aggregations across different grains.

Full Changelog: v0.7.0...v0.7.1

v0.7.0 dbt_facebook_ads

12 Oct 20:29
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PR #34 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 and window function partition clauses in the transform package.
  • Updated tests to account for the new source_relation column.

PR #27 includes the following updates:

  • 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: v0.6.0...v0.7.0

dbt_facebook_ads v0.6.0

04 Jan 15:10
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🚨 Breaking Changes 🚨:

PR #23 includes the following 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
  • packages.yml has been updated to reflect new default fivetran/fivetran_utils version, previously [">=0.3.0", "<0.4.0"] now [">=0.4.0", "<0.5.0"].

🎉 Features 🎉

🚘 Under the Hood 🚘

  • Disabled the not_null test for facebook_ads__url_report when null urls are allowed (#25).

dbt_facebook_ads 0.5.0

02 Sep 20:29
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🚨 Breaking Changes 🚨

The following changes come with PR [https://github.com//pull/21]:

  • Renames facebook_ads__ad_adapter model to facebook_ads__url_report to more accurately reflect what is included in the report; this report now also filters for only records that have a url value for creative_history.page_link or creative_history.template_page_link.
  • Renames facebook_ads__creative_history_prep model to int_facebook_ads__creative_history to conform with new styling standards.

🎉 Feature Enhancements 🎉

PR [https://github.com//pull/21] includes the following enhancements:

  • Addition of new facebook_ads__ad_report that reports spend, clicks and impressions at the ad level.
  • README updates for easier navigation and use of the package.
  • Migrates dbt_facebook_ads_creative_history.stg_facebook_ads__url_tag model directly into this package as a final model named facebook_ads__url_tags.
  • Added passthrough functionality for BASIC_AD pre-built report using facebook_ads__basic_ad_metrics variable.facebook_ads__basic_ad_metrics example.
vars:
  facebook_ads__basic_ad_metrics:
    - name: "my_field_to_include" # Required: Name of the field within the source.
      alias: "field_alias" # Optional: If you wish to alias the field within the staging model.

dbt_facebook_ads 0.4.1

12 Jan 00:27
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Updates

  • Adding in Required Report(s) section to be consistent with dbt_facebook_ads_source package.

Contributors

facebook_ads 0.4.0

22 Dec 02:49
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🎉 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_facebook_ads_source. Additionally, the latest dbt_facebook_ads_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 0.20.0 Compatibility

05 Aug 00:10
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🎉 dbt 0.20.0 Compatibility 🎉

🚨 This is a breaking change! 🚨 dbt v0.20.0 or greater is required for this release. If you are not ready to upgrade, consider using a previous release of this package.

Additional considerations when upgrading to this package:

  • This package utilizes the latest v0.7.x release of the dbt-labls/dbt_utils package. If your project also utilizes a version of the fishtown-analytics/dbt_utils package then you will receive a duplicate package error. If this is the case you will need to consider upgrading your other packages to be compatible with this update or use a previous release of this package.
  • Similar to the above point, all previous Fivetran dbt packages utilize the fishtown-analytics/dbt_utils package and you will need to upgrade all Fivetran dbt packages to the latest dbt 0.20.0 compatibility releases in order for your packages to run without package conflicts.
  • For Databricks users this compatibility is currently only available for >=dbt 0.20.1rc1. If you want more information on upgrading your dbt-spark version, you can refer to the dbt-spark release for further details.

Postgres Compatibility

21 Jul 14:44
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🎉 Postgres Compatibility 🎉

This release incorporates Postgres compatibility changes. These changes are non-breaking and only include changes for integration testing and Postgres specific updates to the package.

Databricks Compatibility

03 May 16:54
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This release incorporates the following non-breaking changes:

  • Databricks compatibility