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https://issues.apache.org/jira/browse/ATLAS-3610?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Mariusz Górski updated ATLAS-3610:
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    Summary: Enable logging to multiple targets (logdir, stdout)  (was: Unify 
logging logic by relying solely on log4j configuration for java processes)

> Enable logging to multiple targets (logdir, stdout)
> ---------------------------------------------------
>
>                 Key: ATLAS-3610
>                 URL: https://issues.apache.org/jira/browse/ATLAS-3610
>             Project: Atlas
>          Issue Type: Improvement
>          Components:  atlas-core
>    Affects Versions: 3.0.0
>            Reporter: Mariusz Górski
>            Priority: Minor
>             Fix For: 3.0.0
>
>         Attachments: ATLAS-3610.patch
>
>          Time Spent: 0.5h
>  Remaining Estimate: 0h
>
> *Problem description*
> When starting Atlas, Python scripts are invoked to spawn all necessary 
> processes. This is achieved with the use of _subprocess.Popen()_ in 
> _runProcess()_ function of _atlas_config.py_ script. While doing that, stdout 
> is being redirected to log files, which (for java processes) can override 
> log4j configuration (if configured with stdout handler). This creates 
> situation when log4j configuration cannot be relied upon and prevents logging 
> to stdout.
> *Proposed solution*
>  * Add possibility to unify logging logic by relying solely on log4j 
> configuration.
>  * Adjust _runProcess()_ function from _atlas_config.py_ script (and all 
> functions relying on it) not to redirect stdout and stderr of spawned 
> processes when logdir is _None_
>  * Add _RELY_ON_LOG4J_ONLY_ env variable (defaulting to False) for backwards 
> compatibility.
>  * Adjust _atlas_start.py_ script to make use of _RELY_ON_LOG4J_ONLY_ and set 
> logdir as _None_ when _RELY_ON_LOG4J_ONLY_ is true
> *Predicted Benefits*
> This improvement would bring the benefit of having single place where logging 
> logic is defined (log4j config file) and enable logging to stdout, which 
> could be very useful when running Atlas in docker container or in 
> Kubernetes/OC, where some logging scraping is present.



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