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Databricks

Run SQL queries and manage jobs on Databricks

integrationDetail.overview.title

Connect to Databricks to execute SQL queries against SQL warehouses, trigger and monitor job runs, manage clusters, and retrieve run outputs. Requires a Personal Access Token and workspace host URL.

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  • Execute SQL

    Execute a SQL statement against a Databricks SQL warehouse and return results inline. Supports parameterized queries and Unity Catalog.

  • List Jobs

    List all jobs in a Databricks workspace with optional filtering by name.

  • Run Job

    Trigger an existing Databricks job to run immediately with optional job-level or notebook parameters.

  • Get Run

    Get the status, timing, and details of a Databricks job run by its run ID.

  • List Runs

    List job runs in a Databricks workspace with optional filtering by job, status, and time range.

  • Cancel Run

    Cancel a running or pending Databricks job run. Cancellation is asynchronous; poll the run status to confirm termination.

  • Get Run Output

    Get the output of a completed Databricks job run, including notebook results, error messages, and logs. For multi-task jobs, use the task run ID (not the parent run ID).

  • List Clusters

    List all clusters in a Databricks workspace including their state, configuration, and resource details.

integrationDetail.faq.title

AACFlow's Databricks integration lets you build AI-powered workflows that automate tasks in Databricks without writing code. Run SQL queries and manage jobs on Databricks You can connect Databricks to hundreds of other services in the same workflow β€” from CRMs and spreadsheets to messaging tools and databases.

AACFlow

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