Using Azure Pipelines

You can build your custom Continuous Deployment jobs using Azure Pipelines and Bolt APIs.

To use this feature it is required to have a production environment configured in Paradime.

ℹ️ Check our setup guide here based on your data warehouse provider.

Setting up Continuous Deployment Bolt Schdeule

1. Create or Edit a Bolt Schedule: In the Bolt UI, create a new schedule or modify an existing one.

2. Set Schedule Type to deferred: This allows your job to leverage results from previous runs, improving efficiency.

3. Name your continuous deployment schedule: Choose a descriptive name for easy identification.

4. Choose a Bolt Schedule to defer to: Select a previous job run to use as a reference, either from the same schedule or a different one.

5. Set the comparison method: Determine how the current run compares with previous runs (e.g., Last Run, Last Successful Run).

6. Enter dbt Commands: Specify the dbt tasks to execute as part of the continuous deployment. For example:

dbt run --select state:modified

1. Specify the Git Branch: Choose which branch of your dbt project will be used when the continuous deployment is triggered (e.g., main).

2. Set Trigger Type to On Merge: This will allow the API to trigger multiple runs

3. Publish Bolt Schedule: Save and activate your continuous deployment schedule.

Implement using Paradime's Bolt Template - Test Code Changes on Pull Request.

Tutorial

Generate API keys

API 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 secrete in Azure pipelines.

API Keys

Create an Azure Pipeline

Now you will need to create a new azure-pipeline.yml file in your dbt™️ repository. Copy the code block below and enter the values required.

Example Azure pipelines configuration file

azure-pipelines.yml

# Define when the pipeline should trigger
trigger:
 - main    # Pipeline will run when changes are pushed to main branch

# Define pipeline-level variables
variables:
 # Name of the Paradime schedule/job to run
 - name: PARADIME_SCHEDULE_NAME
   value: "continuous_deployment_run"

# Define the steps to be executed in this pipeline
steps:
 # Step 1: Set up Python environment
 - task: UsePythonVersion@0    # Azure DevOps task to configure Python
   inputs:
     versionSpec: "3.11"       # Specify Python version
     addToPath: true          # Add Python to system PATH
   displayName: Use Python 3.11 # Name shown in Azure DevOps UI

 # Step 2: Install dependencies and run Paradime job
 # Check for latest version of the Paradime Python SDK on https://github.com/paradime-io/paradime-python-sdk/releases
 - script: |  
     # Install Paradime Python SDK
     pip install paradime-io==4.7.1
     
     # Export required environment variables for Paradime
     # $(VARIABLE) syntax is used to reference Azure Pipeline variables
     export PARADIME_API_ENDPOINT=$(PARADIME_API_ENDPOINT)
     export PARADIME_API_KEY=$(PARADIME_API_KEY)
     export PARADIME_API_SECRET=$(PARADIME_API_SECRET)
     
     # Run the Paradime bolt schedule/job
     # --wait flag makes the pipeline wait for completion
     paradime bolt run "$(PARADIME_SCHEDULE_NAME)" --wait

   displayName: "Run Paradime CD"

Add the API keys and Credential in the Azure Pipeline variables

Finally you need to add the API key and credentials generated in the previous step in Azure Pipelines.

Set the corresponding values using your credentials for the variable names:

• PARADIME_API_KEY

• PARADIME_API_SECRET

• PARADIME_API_ENDPOINT