Azure Data Factory - Trigger Job

Overview

To get started using this Blueprint, you need the following in inputs: * Resource Group Name * Data Factory Name * Pipeline Name. Which can easily found by clicking on Switch Data Factory Icon on the top right pane of your Azure Data Factory portal  Additionally, you can configure the Blueprint to wait for the pipeline to finish running. Setting "Wait for Completion" to True ensures the Blueprint waits until the pipeline run completes, logging any potential errors and confirming the entire process is finished. Setting it to False marks the Blueprint as successful immediately after the pipeline is triggered, without waiting for completion.

Variables

YAML

Below is the YAML template

source:
  template: Azure Data Factory - Trigger Job
  inputs:
    AZURE_DATAFACTORY_CLIENT_ID:
    AZURE_DATAFACTORY_CLIENT_SECRET:
    AZURE_DATAFACTORY_TENANT_ID:
    AZURE_DATAFACTORY_SUBSCRIPTION_ID:
    AZURE_DATAFACTORY_RESOURCE_GROUP:
    AZURE_DATAFACTORY_FACTORY_NAME:
    AZURE_DATAFACTORY_PIPELINE:
    AZURE_DATAFACTORY_WAIT: 'TRUE'
  type: TEMPLATE
guardrails:
  retry_count: 1
  retry_wait: 0h0m0s
  runtime_cutoff: 1h0m0s
  exclude_exit_code_ranges:
    - 200