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https://issues.apache.org/jira/browse/HDFS-17382?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17820360#comment-17820360
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ASF GitHub Bot commented on HDFS-17382:
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hadoop-yetus commented on PR #6584:
URL: https://github.com/apache/hadoop/pull/6584#issuecomment-1962408437
:broken_heart: **-1 overall**
| Vote | Subsystem | Runtime | Logfile | Comment |
|:----:|----------:|--------:|:--------:|:-------:|
| +0 :ok: | reexec | 0m 0s | | Docker mode activated. |
| -1 :x: | patch | 0m 20s | |
https://github.com/apache/hadoop/pull/6584 does not apply to branch-3.4. Rebase
required? Wrong Branch? See
https://cwiki.apache.org/confluence/display/HADOOP/How+To+Contribute for help.
|
| Subsystem | Report/Notes |
|----------:|:-------------|
| GITHUB PR | https://github.com/apache/hadoop/pull/6584 |
| Console output |
https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-6584/2/console |
| versions | git=2.34.1 |
| Powered by | Apache Yetus 0.14.0 https://yetus.apache.org |
This message was automatically generated.
> Add Apache Log4j Extras Library to Hadoop 3.3 for Enhanced Log Rolling
> Capabilities
> -----------------------------------------------------------------------------------
>
> Key: HDFS-17382
> URL: https://issues.apache.org/jira/browse/HDFS-17382
> Project: Hadoop HDFS
> Issue Type: Improvement
> Affects Versions: 3.4.0
> Reporter: woosuk.ro
> Priority: Minor
> Labels: pull-request-available
> Attachments: image-2024-02-25-00-46-08-841.png
>
>
> In the current Hadoop 3.4 version, the system relies on Log4j 1.x for logging
> purposes. This dependency limits the logging functionality, especially when
> it comes to rolling log files such as 'hdfs-audit.log'. Rolling log files is
> crucial for managing log size and ensuring logs are rotated out over time to
> prevent excessive disk space usage. However, the Log4j 1.x version integrated
> within Hadoop lacks the necessary capabilities to efficiently handle log
> rolling.
> This library extends logging capabilities, including more flexible and
> configurable log rolling features. By deploying this library, we can enable
> advanced rolling strategies such as time-based rolling, size-based rolling,
> and compression of rolled logs, which are not supported by the default Log4j
> 1.x setup in Hadoop.
> The integration of Apache Log4j Extras into Hadoop will significantly improve
> log management by allowing for more sophisticated and configurable log
> rotation policies. This enhancement is particularly important for maintaining
> system performance and reliability, as well as for compliance with log
> retention policies.
> Although there are plans to upgrade to Log4j 2 in the forthcoming Hadoop 3.5
> version, which will inherently solve these issues by providing enhanced
> logging features, there is an immediate need to enable advanced log rolling
> capabilities in the current and previous versions of Hadoop.
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