ashb commented on a change in pull request #3830: [AIRFLOW-2156] Parallelize
Celery Executor task state fetching
URL: https://github.com/apache/incubator-airflow/pull/3830#discussion_r216255773
##########
File path: airflow/executors/celery_executor.py
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@@ -72,10 +112,24 @@ class CeleryExecutor(BaseExecutor):
vast amounts of messages, while providing operations with the tools
required to maintain such a system.
"""
- def start(self):
+
+ def __init__(self):
+ super(CeleryExecutor, self).__init__()
+
+ # Parallelize Celery requests here since Celery does not support
parallelization.
Review comment:
`# Celery doesn't support querying the state of multiple tasks in parallel
(which can become a bottleneck on bigger clusters) so we use a multiprocessing
pool to speed this up`
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