XD-DENG commented on a change in pull request #4234: [AIRFLOW-2761] Parallelize
enqueue in celery executor
URL: https://github.com/apache/incubator-airflow/pull/4234#discussion_r236627981
##########
File path: airflow/executors/celery_executor.py
##########
@@ -135,16 +152,16 @@ def start(self):
'Starting Celery Executor using {} processes for syncing'.format(
self._sync_parallelism))
- def execute_async(self, key, command,
- queue=DEFAULT_CELERY_CONFIG['task_default_queue'],
- executor_config=None):
- self.log.info("[celery] queuing {key} through celery, "
- "queue={queue}".format(**locals()))
- self.tasks[key] = execute_command.apply_async(
- args=[command], queue=queue)
- self.last_state[key] = celery_states.PENDING
+ def _num_tasks_per_send_process(self, to_send_count):
+ """
+ How many Celery tasks should each worker process send.
+ :return: Number of tasks that should be sent per process
Review comment:
Minor: One empty line is expected before this line to render Sphinx properly
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