Salesforce History Mode Active Rows

Salesforce History Mode Active Rows Feature

Happy Friday! This release includes the following non-breaking changes:

• Ability to filter out historical records if the Fivetran Salesforce History Mode has been enabled on your connector. You may filter out the historical records for each of staging tables included within this packages by leveraging the below variables: #13

vars:
  salesforce_source:
    using_account_history_mode_active_records: true
    using_opportunity_history_mode_active_records: true
    using_user_role_history_mode_active_records: true
    using_user_history_mode_active_records: true 

dbt 0.20.0 Compatibility

🎉 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.

Fivetran Utils Dependency Update

🚧 Fivetran Utils Dependency Update 🚧

This release includes the following non-breaking changes:

• Update to the packages.yml to reference the recently released Fivetran Utils package. This is a necessary update to ensure this package is compatible with previous dbt releases before dbt v0.20.0 updates take place.

dbt 0.19.0 Compatibility

The release enables compatibility with dbt 0.19.0. There are no breaking changes.

Package Updates

🚨This update introduces a breaking change: Output models are renamed to include a double underscore between the source name and the table name. For example, stg_salesforce_account.sql is now stg_salesforce__account.sql

The release also:

• Introduces CircleCI testing
• Introduces the use of pass-through columns, so that you can include your custom Salesforce columns in the output tables
• Utilizes our fill_staging_columns macro for the creation of staging tables. If you do not have a required column necessary for this package, the fill_staging_column will produce this column (filled with nulls) and prevent the error

Initial Release

This is the initial release of this package.

This package is designed enrich your Fivetran data by doing the following:

• Add descriptions to tables and columns that are synced using Fivetran
• Add freshness tests to source data
• Add column-level testing where applicable. For example, all primary keys are tested for uniqueness and non-null values.
• Model staging tables, which will be used in our transform package

Currently the package supports Redshift, BigQuery and Snowflake.