BitBucket
Last updated
Last updated
With Paradime Turbo CI, you can run and test code changes to your dbt™️ project prior to merge them in your main branch, by configuring a Bolt schedule to run when a new pull request is opened against your dbt™️ repository.
Paradime will build the models affected by your changed into a temporary schema, and will run tests that you have written against the changes models to validate your test are still passing. When opening a pull request, Paradime Turbo CI run status will be showing in the pull request.
When Turbo CI is configured, a BitBucket Pipeline will trigger a TurboCI schedule in Paradime executing your configured dbt™️ command to run and test your dbt™️ changes.
When running, models will be built in a temporary schema using the prefix paradime_turbo_ci_pr_
followed by the commit SHA number (e.g paradime_turbo_ci_pr_6d8f55c0
). This will enabled you to see the results of your changes associated with the code in your pull request in your production data warehouse
A Scheduler Connection to your data warehouse where the target is set to ci
.
ℹ️ Check our setup guide here based on your data warehouse provider.
Customize you dbt™️ schema generation at runtime, to make sure that when a PR is opened, Paradime Turbo CI will build and test your changed dbt™️ models in a temporary schema. We will want to update the dbt™️ generate_schema_name.sql
macro.
In your dbt™️ project, in your macros folder create a macro called: generate_schema_name.sql
and use a similar logic as below, where when a Bolt run is executed using the ci
target the schema where your models will be built will use the paradime_turbo_ci_pr
prefix.
See also:
When creating the Turbo CI job in Paradime, you can set your execution settings to defer to a previous run state by adding in the deferred_schedule_name
configuration the name of the Bolt productions schedule you want to defer to
Paradime will look at the manifest.json
from the specified schedule's most recent successful run (unless setting the optional parameter successful_run_only: false
) to determined the set of new and modified dbt™️ resources. In your Turbo CI commands, you can then use the state:modified+
argument to only run the modified resources and their downstream dependencies.
A common example is:
This will run and test all modified models with the downstream dependencies. Useful to validate that test are still passing after making changes to upstream dbt™️ models.
👉 To read more about state comparison check the dbt Core™️ documentation here.
Setting up your Turbo CI Bolt Schedule is very similar to a normal bolt schedule with the addition of a couple more configurations.
A Turbo CI job differ from a bolt schedule as it involves:
The Bolt schedule to defer to
The commands
to use the state:modified+
selector to build / tests only new dbt™️ models and their downstream dependencies. State comparison can only happen when there is a deferred schedule name configured to compare state to.
Being triggered by a pull request opened in your BitBucket dbt™️ repository
Check our template:
Test Code Changes On Pull RequestsAPI keys are generate at a workspace level.
To be able to trigger Bolt using the API, you will first need to generate API keys for your workspace. Got to account settings and generate your API keys, make sure to save in your password manager:
API key
API secret
API Endpoint
You will need this later when setting up the secrets in BitBucket.
API KeysNow you will need to create a new bitbucket-pipelines.yml
file in your dbt™️ repository. Copy the code block below and enter the values required.
Finally you need to add the API key and credentials generated in the previous step in BitBucket Pipelines.
Set the corresponding values using your credentials for the variable names:
PARADIME_API_KEY
PARADIME_API_SECRET
PARADIME_API_ENDPOINT
As per other bolt schedules, you can inspect run logs for each of the Turbo CI jobs running when a pull request is opened.
Viewing Run Log History