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Posted to commits@airflow.apache.org by GitBox <gi...@apache.org> on 2020/12/22 22:54:30 UTC
[GitHub] [airflow] kaxil opened a new pull request #13265: Dispose connections when running tasks in fork with CeleryExecutor
kaxil opened a new pull request #13265:
URL: https://github.com/apache/airflow/pull/13265
Without this fix, when using CeleryExecutor and default config (i.e. `AIRFLOW__CORE__EXECUTE_TASKS_NEW_PYTHON_INTERPRETER=False`), tasks are run in fork and the pooled connections are shared to a forked process. This causes Celery tasks to hang infinitely (tasks will stay in queued state) with the following error:
```
[2020-12-22 18:49:39,085: WARNING/ForkPoolWorker-2] Failed to log action with (psycopg2.DatabaseError) error with status PGRES_TUPLES_OK and no message from the libpq
```
>It’s critical that when using a connection pool, and by extension when using an Engine created via create_engine(), that the pooled connections are not shared to a forked process.
Sqlalchmey docs: https://docs.sqlalchemy.org/en/14/core/pooling.html#using-connection-pools-with-multiprocessing-or-os-fork
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[GitHub] [airflow] github-actions[bot] commented on pull request #13265: Dispose connections when running tasks with os.fork & CeleryExecutor
Posted by GitBox <gi...@apache.org>.
github-actions[bot] commented on pull request #13265:
URL: https://github.com/apache/airflow/pull/13265#issuecomment-749956137
The PR most likely needs to run full matrix of tests because it modifies parts of the core of Airflow. However, committers might decide to merge it quickly and take the risk. If they don't merge it quickly - please rebase it to the latest master at your convenience, or amend the last commit of the PR, and push it with --force-with-lease.
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[GitHub] [airflow] kaxil merged pull request #13265: Dispose connections when running tasks with os.fork & CeleryExecutor
Posted by GitBox <gi...@apache.org>.
kaxil merged pull request #13265:
URL: https://github.com/apache/airflow/pull/13265
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