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Posted to notifications@logging.apache.org by "Brian Antao (Jira)" <ji...@apache.org> on 2022/09/30 11:47:00 UTC

[jira] [Commented] (LOG4J2-3389) Log42j: Provide the capability to Rollover all appenders in an application on Shutdown

    [ https://issues.apache.org/jira/browse/LOG4J2-3389?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17611541#comment-17611541 ] 

Brian Antao commented on LOG4J2-3389:
-------------------------------------

Hi [~rgoers] --

     What is the status of implementing the OnShutdownRolloverPolicy ? any further updates.

> Log42j: Provide the capability to Rollover all appenders in an application on Shutdown
> --------------------------------------------------------------------------------------
>
>                 Key: LOG4J2-3389
>                 URL: https://issues.apache.org/jira/browse/LOG4J2-3389
>             Project: Log4j 2
>          Issue Type: Improvement
>          Components: Appenders, Configuration
>    Affects Versions: 2.17.1
>         Environment: All, provide the feature as an implementation that can be defined in the Log4j2 Configuration
>            Reporter: Brian Antao
>            Assignee: Ralph Goers
>            Priority: Major
>              Labels: Configuration, config.xml, log4j2
>
> I have seen many issues raised in StackOverflow for different variations of finding  a good solution to rolling over of all appenders in an application on Shutdown. But no clear and best solution emerges.
> Hence raising this issue which we in our organisation also have  a great and urgent Need for.
> What we need is:
> A Rollover strategy that we can include in all appenders in the Log4j2 Configuration, in the Appender definition to properly rollover the associated log files on Shutdown.
> The full rollover functionality needs to be defined fully in the Configuration only and no need for Java Code to be written to call the LogManager.Shutdown() method.
> This feature would be a tremendous boost particularly managing log files associated with multiple pods in Kubernetes deployed applications.



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