airflow.executors.dask_executor

DaskExecutor

See also

For more information on how the DaskExecutor works, take a look at the guide: Dask Executor

Module Contents

Classes

DaskExecutor

DaskExecutor submits tasks to a Dask Distributed cluster.
class airflow.executors.dask_executor.DaskExecutor(cluster_address=None)[source]

Bases: airflow.executors.base_executor.BaseExecutor

DaskExecutor submits tasks to a Dask Distributed cluster.

start()[source]

Executors may need to get things started.

execute_async(key, command, queue=None, executor_config=None)[source]

This method will execute the command asynchronously.

Parameters

  • key (airflow.models.taskinstance.TaskInstanceKey) – Unique key for the task instance

  • command (airflow.executors.base_executor.CommandType) – Command to run

  • queue (str | None) – name of the queue

  • executor_config (Any | None) – Configuration passed to the executor.

sync()[source]

Sync will get called periodically by the heartbeat method. Executors should override this to perform gather statuses.

end()[source]

This method is called when the caller is done submitting job and wants to wait synchronously for the job submitted previously to be all done.

terminate()[source]

This method is called when the daemon receives a SIGTERM

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