ppenelon opened a new pull request, #40677:
URL: https://github.com/apache/airflow/pull/40677
<!--
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. See the NOTICE file
distributed with this work for additional information
regarding copyright ownership. The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License"); you may not use this file except in compliance
with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing,
software distributed under the License is distributed on an
"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
KIND, either express or implied. See the License for the
specific language governing permissions and limitations
under the License.
-->
<!--
Thank you for contributing! Please make sure that your code changes
are covered with tests. And in case of new features or big changes
remember to adjust the documentation.
Feel free to ping committers for the review!
In case of an existing issue, reference it using one of the following:
closes: #ISSUE
related: #ISSUE
How to write a good git commit message:
http://chris.beams.io/posts/git-commit/
-->
<!-- Please keep an empty line above the dashes. -->
Hi,
I recently had a huge pain point with Airflow running on ECS via the
official airflow Docker image (`apache/airflow:2.9.2`).
For the configuration I have a scheduler (4 vCPU, 8 Gib), some workers (4
vCPU, 8 Gib) and a webserver (2 vCPU, 4 Gib).
Every containers are sharing the same environment variables to apply the
same configuration anywhere.
The problem was that at some point, the scheduler were non-stop crashing
with the following error:
```
File
""/home/airflow/.local/lib/python3.12/site-packages/airflow/jobs/scheduler_job_runner.py"",
line 1738, in _find_zombies
self.job.executor.send_callback(request)
File
""/home/airflow/.local/lib/python3.12/site-packages/airflow/executors/base_executor.py"",
line 499, in send_callback
self.callback_sink.send(request)
File
""/home/airflow/.local/lib/python3.12/site-packages/airflow/callbacks/pipe_callback_sink.py"",
line 47, in send
self._get_sink_pipe().send(callback)
File ""/usr/local/lib/python3.12/multiprocessing/connection.py"", line 206,
in send
self._send_bytes(_ForkingPickler.dumps(obj))
File ""/usr/local/lib/python3.12/multiprocessing/connection.py"", line 427,
in _send_bytes
self._send(header + buf)
File ""/usr/local/lib/python3.12/multiprocessing/connection.py"", line 384,
in _send
n = write(self._handle, buf)
^^^^^^^^^^^^^^^^^^^^^^^^
BlockingIOError: [Errno 11] Resource temporarily unavailable
```
The first attempt was to increase the maximum file descriptor for the
`airflow` user from 1000 (default) to 65535 (root limit) which works some time
but after some days the problem came back.
After many (many) unsuccessful attempts, I saw an article speaking about the
gevent patching when using gevent on the webserver (which was my case).
As the `_AIRFLOW_PATCH_GEVENT` environment variable was set on every
container which means that the gevent patching was applied on the webserver but
**also on the scheduler**.
I'm not a Python expert but the conclusion was that the gevent patching was
affecting the `multiprocessing` module via the duplex sockets.
As it was a painful problem to solve I'm proposing this documentation
upgrade to warn anyone to apply this setup.
I'm not sure if it's the right way to do it but feel free to
take/modify/close this merge request the way you want, as it can already serve
anyone searching for this error via Google.
Thanks
---
**^ Add meaningful description above**
Read the **[Pull Request
Guidelines](https://github.com/apache/airflow/blob/main/contributing-docs/05_pull_requests.rst#pull-request-guidelines)**
for more information.
In case of fundamental code changes, an Airflow Improvement Proposal
([AIP](https://cwiki.apache.org/confluence/display/AIRFLOW/Airflow+Improvement+Proposals))
is needed.
In case of a new dependency, check compliance with the [ASF 3rd Party
License Policy](https://www.apache.org/legal/resolved.html#category-x).
In case of backwards incompatible changes please leave a note in a
newsfragment file, named `{pr_number}.significant.rst` or
`{issue_number}.significant.rst`, in
[newsfragments](https://github.com/apache/airflow/tree/main/newsfragments).
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]