[jira] [Commented] (AIRFLOW-1979) Redis celery backend not work on 1.9.0 (configuration is ignored)

["Sean Byrne (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/AIRFLOW-1979?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16419894#comment-16419894 ] 

Sean Byrne commented on AIRFLOW-1979:
-------------------------------------

I'm using 1.9 from pypi and was also encountering this issue.

When using 1.9 with celery 3.1.19 it seemed airflow was not passing the correct broker_url and result_backend to the celery executor. When debugging celery_executor.py I saw the following if always returned true, even when "celery_config_options" was not in my airflow.cfg file.
{code:java}
if configuration.has_option('celery', 'celery_config_options'):
    celery_configuration = import_string(
        configuration.get('celery', 'celery_config_options')
    )
else:
    celery_configuration = DEFAULT_CELERY_CONFIG

{code}
import_string seemed to work fine, it took the correct broker_url from airflow.cfg but it gets overwritten before actually starting the task. I couldn't tell exactly where this happened.

I worked around the issue using this guide [https://stackoverflow.com/questions/44979811/adding-extra-celery-configs-to-airflow] to override the default config.

 

Also to note when using celery 4.1, the configuration carried over on worker start, but failed due to other errors using postgres as a celery backend.

Hope this helps.

> Redis celery backend not work on 1.9.0 (configuration is ignored)
> -----------------------------------------------------------------
>
>                 Key: AIRFLOW-1979
>                 URL: https://issues.apache.org/jira/browse/AIRFLOW-1979
>             Project: Apache Airflow
>          Issue Type: Bug
>          Components: celery, worker
>    Affects Versions: 1.9.0
>            Reporter: Norio Akagi
>            Priority: Major
>
> Worker tries to connect to RabbigMQ based on a default setting and shows an error as below:
> {noformat}
> [2018-01-09 16:45:42,778] {driver.py:120} INFO - Generating grammar tables from /usr/lib/python2.7/lib2to3/Grammar.txt
> [2018-01-09 16:45:42,802] {driver.py:120} INFO - Generating grammar tables from /usr/lib/python2.7/lib2to3/PatternGrammar.txt
> [2018-01-09 16:45:43,051] {configuration.py:206} WARNING - section/key [celery/celery_ssl_active] not found in config
> [2018-01-09 16:45:43,051] {default_celery.py:41} WARNING - Celery Executor will run without SSL
> [2018-01-09 16:45:43,052] {__init__.py:45} INFO - Using executor CeleryExecutor
> [2018-01-09 16:45:43,140: WARNING/MainProcess] /usr/local/lib/python2.7/dist-packages/celery/apps/worker.py:161: CDeprecationWarning:
> Starting from version 3.2 Celery will refuse to accept pickle by default.
> The pickle serializer is a security concern as it may give attackers
> the ability to execute any command.  It's important to secure
> your broker from unauthorized access when using pickle, so we think
> that enabling pickle should require a deliberate action and not be
> the default choice.
> If you depend on pickle then you should set a setting to disable this
> warning and to be sure that everything will continue working
> when you upgrade to Celery 3.2::
>     CELERY_ACCEPT_CONTENT = ['pickle', 'json', 'msgpack', 'yaml']
> You must only enable the serializers that you will actually use.
>   warnings.warn(CDeprecationWarning(W_PICKLE_DEPRECATED))
> [2018-01-09 16:45:43,240: ERROR/MainProcess] consumer: Cannot connect to amqp://guest:**@127.0.0.1:5672//: [Errno 111] Connection refused.
> Trying again in 2.00 seconds...
> {noformat}
> I deploy Airflow on kubernetes so each component (web, scheduler, worker, and flower) is containerized and distributed among nodes. I set {{AIRFLOW__CELERY__CELERY_RESULT_BACKEND}}
>  and {{AIRFLOW__CELERY__BROKER_URL}} in environment variables and it can be seen when I run {{printenv}} in a container, but it looks completely ignored.
> Moving these values to {{airflow.cfg}} doesn't work either.
> It worked just perfectly 1.8 and suddenly stopped working when I upgraded Airflow to 1.9.
> Do you have any idea what may cause this configuration issue?



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