Create a dbt project the way Fishtown Analytics would
Project description
dbt-init
A tool to create dbt projects for consulting. dbt-init will create a project as a subdirectory within the target directory you provide it, and populate as much of the dbt project as possible
Installation & usage
- Install using
pip install dbt-init
- To create a new client project run a command like following:
$ dbt-init --client jaffle_shop --warehouse snowflake --target_dir ~/clients/
You can also check the available arguments with dbt-init --help
Once you've created your project
- Update
sample.profile.yml
to contain the correct profile details for your client, excluding the actual credentials – e.g. username and password:
- You can often pre-fill the host and database name.
- You may want to use an alternate connection method (e.g. OAuth) and update the sample file to reflect this.
- Ensure that the users/groups/roles within a warehouse match the grant
statements in the post-run hooks (defined in
dbt_project.yml
).
Building out the starter project
If you're interested in helping build out the starter project, here is a list of variables you can use – a lot of them have defaults based on the client name.
{{ project.name }}: The name of the project, as defined in `dbt_project.yml`, e.g. jaffle_shop.
{{ project.warehouse }}: The warehouse that a client is using.
{{ project.client_name }}: The name of the client, e.g. jaffle_shop.
{{ project.dir_name }}: The name of the directory this project is in, e.g. jaffle-shop-dbt.
{{ project.profile_name }}: The name of the profile used by this project, e.g. jaffle_shop.
To-do:
- Configure a new profile as part of init process
Project details
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