Databricks · Arazzo Workflow

Databricks Clone a Job From an Existing One

Version 1.0.0

Read an existing job's settings and create a new job that reuses them.

1 workflow 1 source API 1 provider
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Provider

databricks

Workflows

clone-job
Clone an existing job into a new one with a new name.
Reads the source job's settings, then creates a new job that reuses the source tasks and job clusters under the supplied new name.
2 steps inputs: new_name, source_job_id outputs: newJobId, sourceJobId
1
getSourceJob
getJob
Read the source job to capture its settings, including the task list and job cluster definitions to reuse.
2
createClone
createJob
Create a new job that reuses the source job's tasks and job clusters under the new name.

Source API Descriptions

Arazzo Workflow Specification

Raw ↑
arazzo: 1.0.1
info:
  title: Databricks Clone a Job From an Existing One
  summary: Read an existing job's settings and create a new job that reuses them.
  description: >-
    Fetches the settings of an existing Databricks job and uses those task and
    cluster definitions to create a brand new job under a different name,
    effectively cloning a job template. The settings object read from the source
    job feeds the create request's task and job cluster lists. Every step spells
    out its request inline so the flow can be read and executed without opening
    the underlying OpenAPI description.
  version: 1.0.0
sourceDescriptions:
- name: databricksApi
  url: ../openapi/databricks-openapi.yml
  type: openapi
workflows:
- workflowId: clone-job
  summary: Clone an existing job into a new one with a new name.
  description: >-
    Reads the source job's settings, then creates a new job that reuses the
    source tasks and job clusters under the supplied new name.
  inputs:
    type: object
    required:
    - source_job_id
    - new_name
    properties:
      source_job_id:
        type: integer
        description: The job to read settings from.
      new_name:
        type: string
        description: The name for the cloned job.
  steps:
  - stepId: getSourceJob
    description: >-
      Read the source job to capture its settings, including the task list and
      job cluster definitions to reuse.
    operationId: getJob
    parameters:
    - name: job_id
      in: query
      value: $inputs.source_job_id
    successCriteria:
    - condition: $statusCode == 200
    outputs:
      tasks: $response.body#/settings/tasks
      jobClusters: $response.body#/settings/job_clusters
  - stepId: createClone
    description: >-
      Create a new job that reuses the source job's tasks and job clusters under
      the new name.
    operationId: createJob
    requestBody:
      contentType: application/json
      payload:
        name: $inputs.new_name
        tasks: $steps.getSourceJob.outputs.tasks
        job_clusters: $steps.getSourceJob.outputs.jobClusters
    successCriteria:
    - condition: $statusCode == 200
    outputs:
      newJobId: $response.body#/job_id
  outputs:
    sourceJobId: $inputs.source_job_id
    newJobId: $steps.createClone.outputs.newJobId

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