Stripe Source dbt Package (Docs)

📣 What does this dbt package do?

• Materializes Stripe staging tables which leverage data in the format described by this ERD. These staging tables clean, test, and prepare your Stripe data from Fivetran's connector for analysis by doing the following:
  • Name columns for consistency across all packages and for easier analysis
  • 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.
• Generates a comprehensive data dictionary of your Stripe data through the dbt docs site.
• These tables are designed to work simultaneously with our Stripe transformation package.

🎯 How do I use the dbt package?

Step 1: Prerequisites

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

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

Step 2: Install the package

Include the following stripe_source 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/stripe_source
    version: [">=0.7.0", "<0.8.0"]

Step 3: Define database and schema variables

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

vars:
    stripe_database: your_destination_name
    stripe_schema: your_schema_name 

Step 4: Disable models for non-existent sources

This package takes into consideration that not every Stripe account utilizes the invoice, invoice_line_item, payment_method, payment_method_card, plan, subscription, or credit_note features, and allows you to disable the corresponding functionality. By default, all variables' values are assumed to be true with the exception of credit_note. Add variables for only the tables you want to disable or enable respectively:

# dbt_project.yml

...
vars:
    using_invoices:        False  #Disable if you are not using the invoice and invoice_line_item tables
    using_payment_method:  False  #Disable if you are not using the payment_method and payment_method_card tables
    using_subscriptions:   False  #Disable if you are not using the subscription and plan tables.
    using_credit_notes:    True   #Enable if you are using the credit note tables.

Step 5: Leveraging Subscription Vs Subscription History Sources

For Stripe connectors set up after February 09, 2022 the subscription table has been replaced with the new subscription_history table. By default this package will look for your subscription data within the subscription source table. However, if you have a newer connector then you must leverage the stripe__subscription_history to have the package use the subscription_history source rather than the subscription table.

Please note that if you have stripe__subscription_history enabled then the package will filter for only active records.

vars:
    stripe__subscription_history: True  # False by default. Set to True if your connector syncs the `subscription_history` table. 

(Optional) Step 6: Additional configurations

Expand to view configurations

Running on Live vs Test Customers

By default, this package will run on non-test data (where livemode = true) from the source Stripe tables. However, you may want to include and focus on test data when testing out the package or developing your analyses. To run on only test data, add the following configuration to your root dbt_project.yml file:

vars:
    stripe_source:
        using_livemode: false  # Default = true

Including sub Invoice Line Items

By default, this package will filter out any records from the invoice_line_item source table which include the string sub_. This is due to a legacy Stripe issue where sub_ records were found to be duplicated. However, if you highly utilize these records you may wish they be included in the final output of the stg_stripe__invoice_line_item model. To do, so you may include the below variable configuration in your root dbt_project.yml:

vars:
    stripe_source:
        using_invoice_line_sub_filter: false # Default = true

Pivoting out Metadata Properties

By default, this package selects the metadata JSON field within the customer, charge, invoice, payment_intent, payment_method, payout, plan, refund, and subscription source tables. However, you likely have properties within the metadata JSON field you would like to pivot out and include in the respective downstream staging model.

If there are properties in the metadata JSON field that you'd like to pivot out into columns, add the respective variable(s) to your root dbt_project.yml file:

vars:
    stripe__charge_metadata: ['the', 'list', 'of', 'property', 'fields'] # Note: this is case-SENSITIVE and must match the casing of the property as it appears in the JSON
    stripe__invoice_metadata: ['the', 'list', 'of', 'property', 'fields'] # Note: this is case-SENSITIVE and must match the casing of the property as it appears in the JSON
    stripe__payment_intent_metadata: ['the', 'list', 'of', 'property', 'fields'] # Note: this is case-SENSITIVE and must match the casing of the property as it appears in the JSON
    stripe__payment_method_metadata: ['the', 'list', 'of', 'property', 'fields'] # Note: this is case-SENSITIVE and must match the casing of the property as it appears in the JSON
    stripe__payout_metadata: ['the', 'list', 'of', 'property', 'fields'] # Note: this is case-SENSITIVE and must match the casing of the property as it appears in the JSON
    stripe__plan_metadata: ['the', 'list', 'of', 'property', 'fields'] # Note: this is case-SENSITIVE and must match the casing of the property as it appears in the JSON
    stripe__refund_metadata: ['the', 'list', 'of', 'property', 'fields'] # Note: this is case-SENSITIVE and must match the casing of the property as it appears in the JSON
    stripe__subscription_metadata: ['the', 'list', 'of', 'property', 'fields'] # Note: this is case-SENSITIVE and must match the casing of the property as it appears in the JSON
    stripe__customer_metadata: ['the', 'list', 'of', 'property', 'fields'] # Note: this is case-SENSITIVE and must match the casing of the property as it appears in the JSON

Change the build schema

By default, this package builds the stripe staging models within a schema titled (<target_schema> + _stg_stripe) in your destination. If this is not where you would like your stripe staging data to be written to, add the following configuration to your root dbt_project.yml file:

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

Change the source table references

If an individual source table has a different name than the package expects, add the table name as it appears in your destination to the respective variable:

IMPORTANT: See this project's dbt_project.yml variable declarations to see the expected names.

vars:
    stripe_<default_source_table_name>_identifier: your_table_name 

(Optional) Step 7: Orchestrate your models with Fivetran Transformations for dbt Core™

Expand to view details

Fivetran offers the ability for you to orchestrate your dbt project through Fivetran Transformations for dbt Core™. Learn how to set up your project for orchestration through Fivetran in our Transformations for dbt Core™ setup guides.

🔍 Does this package have dependencies?

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: [">=0.3.0", "<0.4.0"]

    - package: dbt-labs/dbt_utils
      version: [">=0.8.0", "<0.9.0"]

🙌 How is this package maintained and can I contribute?

Package Maintenance

The Fivetran team maintaining this package only maintains the latest version of the package. We highly recommend that 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.

Contributions

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 to learn how to contribute to a dbt package!

🏪 Are there any resources available?

• 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 just say hi? Book a time during our office hours on Calendly or email us at solutions@fivetran.com.