To use this dbt package, you must have the following:
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 Twilio 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/twilio_source
version: [">=0.3.0", "<0.4.0"]
By default, this package runs using your destination and the twilio
schema of your target database. If this is not where your Twilio data is (for example, if your Twilio schema is named twilio_fivetran
), add the following configuration to your root dbt_project.yml
file:
vars:
twilio_database: your_database_name
twilio_schema: your_schema_name
Your Twilio connector might not sync every table that this package expects, for example if you are not using the Twilio messaging service feature. If your syncs exclude certain tables, it is either because you do not use that functionality in Twilio or have actively excluded some tables from your syncs. In order to enable or disable the relevant tables in the package, you will need to add the following variable(s) to your dbt_project.yml
file.
By default, all variables are assumed to be true
.
vars:
using_twilio_call: False # Disable this if not using call
using_twilio_messaging_service: False # Disable this if not using messaging_service
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 rootpackages.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: 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!