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Databricks Asset Bundle - variables for job trigger

madams
Contributor

I'm using the Databricks CLI to deploy an asset bundle for a job.  I'm attempting to setup the configuration such that the "dev" target does not have a trigger on it, and the "prod" target does.  Essentially the dev job is not scheduled to run and the prod job is.  I'd really like there to not even be a schedule on the dev job, rather than having it simply paused.

Is this possible?

 

variables:
  trigger:
    description: The trigger information 
    type: complex
    default:
      pause_status: UNPAUSED
      periodic:
        interval: 1
        unit: DAYS

resources:
  jobs:
    test_20241118:
      name: ${bundle.target} - test_20241118
      trigger: ${var.trigger}
      tasks:
        - task_key: hello-task
          notebook_task:
            notebook_path: ${workspace.file_path}/hello_world/hello
            source: WORKSPACE

targets:
  dev:
    default: true
    workspace: 
      host: https://my-dev-workspace.azuredatabricks.net
    variables:
      trigger: # I WANT THIS TO ACTUALLY NOT EVEN EXIST
        description: The trigger information 
        type: complex
        default:
          pause_status: PAUSED
          periodic:
            interval: 1
            unit: DAYS
  prod:
    default: true
    workspace: 
      host: https://my-prod-workspace.azuredatabricks.net

 

 

1 REPLY 1

SigaEd
New Contributor II

in your dev target, you can add mode to pause all trigger.

targets:
  dev:
    mode: development

 DAB also have new update,
you can also use preset  to handle different target setting.

targets:
  dev:
    presets:
      name_prefix: "testing_"      # prefix all resource names with testing_
      pipelines_development: true  # set development to true for pipelines
      trigger_pause_status: PAUSED # set pause_status to PAUSED for all triggers and schedules
      jobs_max_concurrent_runs: 10 # set max_concurrent runs to 10 for all jobs
      tags:
        department: finance

  Ref: Databricks Asset Bundle deployment modes | Databricks on AWS

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