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https://issues.apache.org/jira/browse/AIRFLOW-3532?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16724817#comment-16724817
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Ash Berlin-Taylor commented on AIRFLOW-3532:
--------------------------------------------

So you have HAProxy running on each server proxying redis and postgres traffic 
from localhost:6400 to redis-host:6400 etc? If you have problems again I'd try 
without HAProxy and going direct, at least to isolate possible sources of 
problems.

> Apache Airflow > 1.8 don't working with Celery 4.x and don't working Celery 
> 3.x using other than amqp transport
> ---------------------------------------------------------------------------------------------------------------
>
>                 Key: AIRFLOW-3532
>                 URL: https://issues.apache.org/jira/browse/AIRFLOW-3532
>             Project: Apache Airflow
>          Issue Type: Bug
>          Components: celery
>    Affects Versions: 1.9.0, 1.10.0, 1.10.1
>            Reporter: Valeriy
>            Priority: Major
>              Labels: celery
>
> I needed Airflow > 1.8 with all the necessary fixes in the cluster 
> configuration.
> I'm used Aiflow 1.10.0/1.10.1 + Celery 4.2.0/4.2.1 and have problem with 
> working DAG's. After some time, all DAG's gone away in queued. After 
> restarting the worker, the problem is solved. I tried for a long time to find 
> solutions to this problem (logs in DEBUG mode showed nothing) and found a 
> number of discussions, one them: 
> [https://stackoverflow.com/questions/43524457/airflow-tasks-queued-but-not-running]
> *{color:#d04437}As a result, we conclude that Airflow does not work with 
> Celery 4.x!{color}* The code is not adapted to the Celery 4.x.
> I decided to try the Celery 3.x and damn I got an WARNING:
> {code:java}
> [2018-12-17 15:43:11,136: WARNING/MainProcess] 
> /home/hadoop/youla_airflow/lib/python3.6/site-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))
>  
>  -------------- celery@myserver v3.1.26.post2 (Cipater)
> ---- **** -----
> --- * ***  * -- 
> Linux-3.10.0-862.14.4.el7.x86_64-x86_64-with-centos-7.5.1804-Core
> -- * - **** ---
> - ** ---------- [config]
> - ** ---------- .> app:         
> airflow.executors.celery_executor:0x7f0093b86470
> - ** ---------- .> transport:   amqp://guest:**@localhost:5672//
> - ** ---------- .> results:     disabled://
> - *** --- * --- .> concurrency: 16 (prefork)
> -- ******* ----
> --- ***** ----- [queues]
>  -------------- .> default          exchange=default(direct) key=default
> {code}
> Airflow > 1.8 version with Celery 3.x flatly refuses to use transport other 
> than amqp. About it already wrote here 
> [http://mail-archives.apache.org/mod_mbox/airflow-commits/201801.mbox/%3cjira.13129586.1515519138000.610058.1515519180...@atlassian.jira%3E]
> My Airflow config:
> {code:java}
> [celery]
> celery_app_name = airflow.executors.celery_executor
> worker_concurrency = 16
> worker_log_server_port = 8793
> broker_url = redis://localhost:6400/0
> result_backend = db+postgres://airflow:pass@localhost:5434/airflow
> flower_host = 0.0.0.0
> flower_url_prefix =
> flower_port = 5555
> default_queue = default
> celery_config_options = 
> airflow.config_templates.default_celery.DEFAULT_CELERY_CONFIG
> {code}
> How do I run Airflow > 1.8 with Celery as a Redis broker? Is that possible?



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