• Produces modeled tables that leverage Github data from Fivetran's connector in the format described by this ERD and builds off of the output from our github source package.

• Provides insight into GitHub issues and pull requests by enhancing these core objects with commonly used metrics.

• Produces metrics tables, which increase understanding of your team's velocity over time. Metrics are available on a daily, weekly, monthly, and quarterly level.

• Generates a comprehensive data dictionary of your source and modeled github data through the dbt docs site.

The following table provides a detailed list of all models materialized within this package by default.

TIP: See more details about these models in the package's dbt docs site.

To use this dbt package, you must have the following:

• At least one Fivetran Github connector syncing data into your destination.
• A BigQuery, Snowflake, Redshift, PostgreSQL, or Databricks destination.

If you are using a Databricks destination with this package you will need to add the below (or a variation of the below) dispatch configuration within your dbt_project.yml. This is required in order for the package to accurately search for macros within the dbt-labs/spark_utils then the dbt-labs/dbt_utils packages respectively.

dispatch:
  - macro_namespace: dbt_utils
    search_order: ['spark_utils', 'dbt_utils']

Include the following github package version in your packages.yml file.

TIP: Check dbt Hub for the latest installation instructions, or read the dbt docs for more information on installing packages.

packages:
  - package: fivetran/github
    version: [">=0.7.0", "<0.8.0"] # we recommend using ranges to capture non-breaking changes automatically

Do NOT include the github_source package in this file. The transformation package itself has a dependency on it and will install the source package as well.

By default, this package runs using your destination and the github schema. If this is not where your Github data is (for example, if your github schema is named github_fivetran), add the following configuration to your root dbt_project.yml file:

vars:
  github_source:
    github_database: your_database_name
    github_schema: your_schema_name 

Your Github connector might not sync every table that this package expects. If your syncs exclude certain tables, it is because you either don't use that functionality in Github or have actively excluded some tables from your syncs.

If you do not have the REPO_TEAM table synced, add the following variable to your dbt_project.yml file:

vars:
    github__using_repo_team: false # by default this is assumed to be true

Note: This package only integrates the above variable. If you'd like to disable other models, please create an issue specifying which ones.

models:
    github_source:
      +schema: my_new_schema_name # leave blank for just the target_schema
    github:
      +schema: my_new_schema_name # leave blank for just the target_schema

vars:
    github_<default_source_table_name>_identifier: your_table_name 

This dbt package is dependent on the following dbt packages. Please be aware that these dependencies are installed by default within this package. For more information on the following packages, refer to the dbt hub site.

IMPORTANT: If you have any of these dependent packages in your own packages.yml file, we highly recommend that you remove them from your root packages.yml to avoid package version conflicts.

packages:
    - package: fivetran/fivetran_utils
      version: [">=0.4.0", "<0.5.0"]

    - package: dbt-labs/dbt_utils
      version: [">=1.0.0", "<2.0.0"]

    - package: fivetran/github_source
      version: [">=0.7.0", "<0.8.0"]
    
    - package: dbt-labs/spark_utils
      version: [">=0.3.0", "<0.4.0"]

The Fivetran team maintaining this package only maintains the latest version of the package. We highly recommend you stay consistent with the latest version of the package and refer to the CHANGELOG and release notes for more information on changes across versions.

A small team of analytics engineers at Fivetran develops these dbt packages. However, the packages are made better by community contributions!

We highly encourage and welcome contributions to this package. Check out this dbt Discourse article on the best workflow for contributing to a package!

• If you have questions or want to reach out for help, please refer to the GitHub Issue section to find the right avenue of support for you.
• If you would like to provide feedback to the dbt package team at Fivetran or would like to request a new dbt package, fill out our Feedback Form.
• Have questions or want to be part of the community discourse? Create a post in the Fivetran community and our team along with the community can join in on the discussion!