airflow.providers.celery.executors.celery_executor_utils

Utilities and classes used by the Celery Executor.

Much of this code is expensive to import/load, be careful where this module is imported.

Module Contents

Classes

ExceptionWithTraceback

Wrapper class used to propagate exceptions to parent processes from subprocesses.

BulkStateFetcher

Gets status for many Celery tasks using the best method available.

Functions

on_celery_import_modules(*args, **kwargs)

Preload some "expensive" airflow modules once, so other task processes won't have to import it again.

execute_command(command_to_exec)

Execute command.

send_task_to_executor(task_tuple)

Send task to executor.

fetch_celery_task_state(async_result)

Fetch and return the state of the given celery task.

Attributes

log

TaskInstanceInCelery

OPERATION_TIMEOUT

CELERY_FETCH_ERR_MSG_HEADER

celery_configuration

app

airflow.providers.celery.executors.celery_executor_utils.log[source]
airflow.providers.celery.executors.celery_executor_utils.TaskInstanceInCelery[source]
airflow.providers.celery.executors.celery_executor_utils.OPERATION_TIMEOUT[source]
airflow.providers.celery.executors.celery_executor_utils.CELERY_FETCH_ERR_MSG_HEADER = 'Error fetching Celery task state'[source]
airflow.providers.celery.executors.celery_executor_utils.celery_configuration[source]
airflow.providers.celery.executors.celery_executor_utils.app[source]
airflow.providers.celery.executors.celery_executor_utils.on_celery_import_modules(*args, **kwargs)[source]

Preload some “expensive” airflow modules once, so other task processes won’t have to import it again.

Loading these for each task adds 0.3-0.5s per task before the task can run. For long running tasks this doesn’t matter, but for short tasks this starts to be a noticeable impact.

airflow.providers.celery.executors.celery_executor_utils.execute_command(command_to_exec)[source]

Execute command.

class airflow.providers.celery.executors.celery_executor_utils.ExceptionWithTraceback(exception, exception_traceback)[source]

Wrapper class used to propagate exceptions to parent processes from subprocesses.

Parameters

  • exception (BaseException) – The exception to wrap

  • exception_traceback (str) – The stacktrace to wrap

airflow.providers.celery.executors.celery_executor_utils.send_task_to_executor(task_tuple)[source]

Send task to executor.

airflow.providers.celery.executors.celery_executor_utils.fetch_celery_task_state(async_result)[source]

Fetch and return the state of the given celery task.

The scope of this function is global so that it can be called by subprocesses in the pool.

Parameters

async_result (celery.result.AsyncResult) – a tuple of the Celery task key and the async Celery object used to fetch the task’s state

Returns

a tuple of the Celery task key and the Celery state and the celery info of the task

Return type

tuple[str, str | ExceptionWithTraceback, Any]

class airflow.providers.celery.executors.celery_executor_utils.BulkStateFetcher(sync_parallelism=None)[source]

Bases: airflow.utils.log.logging_mixin.LoggingMixin

Gets status for many Celery tasks using the best method available.

If BaseKeyValueStoreBackend is used as result backend, the mget method is used. If DatabaseBackend is used as result backend, the SELECT …WHERE task_id IN (…) query is used Otherwise, multiprocessing.Pool will be used. Each task status will be downloaded individually.

get_many(async_results)[source]

Get status for many Celery tasks using the best method available.

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