Asana

This package models Asana data from Fivetran’s connector. It uses data in the format described by this ERD.

This package enriches your Fivetran data by doing the following:

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

Modelslink

This package contains staging models, designed to work simultaneously with our Asana transform package. The staging models:

• Remove any rows that are soft-deleted
• Name columns consistently across all packages:
  • Boolean fields are prefixed with is_ or has_
  • Timestamps are appended with _at
  • ID primary keys are prefixed with the name of the table. For example, the user table’s ID column is renamed user_id.
  • Foreign keys include the table that they refer to. For example, the project table’s owner ID column is renamed owner_user_id.

Installation Instructionslink

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

Include in your packages.yml

packages:
  - package: fivetran/asana_source
    version: [">=0.5.0", "<0.6.0"]

Configurationlink

By default, this package will run using your target database and the asana schema. If this is not where your Asana data is (perhaps your Asana schema is asana_fivetran), add the following configuration to your dbt_project.yml file:

...
config-version: 2

vars:
  asana_source:
    asana_database: your_database_name
    asana_schema: your_schema_name 

To add additional columns to tasks use the pass-through column variable. This is useful for adding custom fields not already included in this package.

...
vars:
  asana_source:
    task_pass_through_columns: [custom_status, custom_department]

Changing the Build Schemalink

By default this package will build the Asana staging models within a schema titled (<target_schema> + _stg_asana) in your target database. If this is not where you would like your Asana staging data to be written to, add the following configuration to your dbt_project.yml file:

...
models:
    asana_source:
      +schema: my_new_schema_name # leave blank for just the target_schema

Database supportlink

This package is compatible with BigQuery, Snowflake, and Redshift.

Contributionslink

Additional contributions to this package are very welcome! Please create issues or open PRs against main. Check out this post on the best workflow for contributing to a package.

Resources:link

• Provide feedback on our existing dbt packages or what you’d like to see next
• Have questions, feedback, or need help? Book a time during our office hours using Calendly or email us at solutions@fivetran.com
• Find all of Fivetran’s pre-built dbt packages in our dbt hub
• Learn how to orchestrate your models with Fivetran Transformations for dbt Core™
• Learn more about Fivetran overall in our docs
• Check out Fivetran’s blog
• Learn more about dbt in the dbt docs
• Check out Discourse for commonly asked questions and answers
• Join the chat on Slack for live discussions and support
• Find dbt events near you
• Check out the dbt blog for the latest news on dbt’s development and best practices