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Databricks Tools

Databricks Create Job

Creates a new Databricks job with specified tasks, schedules, and notifications. Use this action when you need to define a new workflow or data pipeline in Databricks. Each job must have at least one task, and each task requires a task_key, a task type (notebook_task, spark_jar_…

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Use Databricks Create Job

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Inputs

  • namestring
    Required
    Name of the job. Must be unique within the workspace.
  • tagsobject
    A map of tags associated with the job. Maximum of 25 tags can be added.
  • queueobject
    Queue settings for the job.
  • tasksarray
    Required
    Array of task configurations for the job. Each task must have a unique task_key. At least one task is required.
  • formatstring
    Job format specification. Use 'MULTI_TASK' for jobs with multiple tasks.
  • healthobject
    Health monitoring configuration for the job.
  • run_asobject
    Specifies the user or service principal that the job runs as.
  • scheduleobject
    Periodic schedule configuration using Cron expressions.
  • git_sourceobject
    Git source configuration for notebooks and Python files.
  • parametersarray
    Job-level parameters that can be referenced in tasks
  • max_retriesinteger
    Maximum number of times to retry an unsuccessful run. Use -1 for infinite retries, 0 for never retry. Default is 0.
  • job_clustersarray
    Shared cluster configurations that can be referenced by tasks using job_cluster_key. Useful for reusing cluster configs across tasks.

Observable output

  • data
    Required
    Data from the action execution
  • errorstring
    Error if any occurred during the execution of the action
  • successfulboolean
    Required
    Whether or not the action execution was successful or not

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