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https://issues.apache.org/jira/browse/HDFS-17382?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17818009#comment-17818009
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ASF GitHub Bot commented on HDFS-17382:
---------------------------------------
hadoop-yetus commented on PR #6558:
URL: https://github.com/apache/hadoop/pull/6558#issuecomment-1948693268
:broken_heart: **-1 overall**
| Vote | Subsystem | Runtime | Logfile | Comment |
|:----:|----------:|--------:|:--------:|:-------:|
| +0 :ok: | reexec | 6m 40s | | Docker mode activated. |
|||| _ Prechecks _ |
| +1 :green_heart: | dupname | 0m 0s | | No case conflicting files
found. |
| +0 :ok: | codespell | 0m 0s | | codespell was not available. |
| +0 :ok: | detsecrets | 0m 0s | | detect-secrets was not available.
|
| +0 :ok: | xmllint | 0m 0s | | xmllint was not available. |
| +1 :green_heart: | @author | 0m 0s | | The patch does not contain
any @author tags. |
| -1 :x: | test4tests | 0m 0s | | The patch doesn't appear to include
any new or modified tests. Please justify why no new tests are needed for this
patch. Also please list what manual steps were performed to verify this patch.
|
|||| _ branch-3.3 Compile Tests _ |
| +0 :ok: | mvndep | 13m 48s | | Maven dependency ordering for branch |
| +1 :green_heart: | mvninstall | 35m 13s | | branch-3.3 passed |
| +1 :green_heart: | compile | 18m 37s | | branch-3.3 passed |
| +1 :green_heart: | mvnsite | 2m 52s | | branch-3.3 passed |
| +1 :green_heart: | javadoc | 3m 6s | | branch-3.3 passed |
| +1 :green_heart: | shadedclient | 108m 26s | | branch has no errors
when building and testing our client artifacts. |
|||| _ Patch Compile Tests _ |
| +0 :ok: | mvndep | 0m 34s | | Maven dependency ordering for patch |
| +1 :green_heart: | mvninstall | 12m 27s | | the patch passed |
| +1 :green_heart: | compile | 17m 52s | | the patch passed |
| +1 :green_heart: | javac | 17m 52s | | the patch passed |
| -1 :x: | blanks | 0m 0s |
[/blanks-eol.txt](https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-6558/3/artifact/out/blanks-eol.txt)
| The patch has 1 line(s) that end in blanks. Use git apply --whitespace=fix
<<patch_file>>. Refer https://git-scm.com/docs/git-apply |
| +1 :green_heart: | mvnsite | 2m 52s | | the patch passed |
| +1 :green_heart: | javadoc | 2m 55s | | the patch passed |
| +1 :green_heart: | shadedclient | 41m 40s | | patch has no errors
when building and testing our client artifacts. |
|||| _ Other Tests _ |
| +1 :green_heart: | unit | 0m 35s | | hadoop-project in the patch
passed. |
| -1 :x: | unit | 204m 1s |
[/patch-unit-hadoop-hdfs-project_hadoop-hdfs.txt](https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-6558/3/artifact/out/patch-unit-hadoop-hdfs-project_hadoop-hdfs.txt)
| hadoop-hdfs in the patch passed. |
| +1 :green_heart: | unit | 0m 42s | | hadoop-client-minicluster in
the patch passed. |
| +1 :green_heart: | asflicense | 1m 6s | | The patch does not
generate ASF License warnings. |
| | | 400m 27s | | |
| Reason | Tests |
|-------:|:------|
| Failed junit tests |
hadoop.hdfs.server.blockmanagement.TestUnderReplicatedBlocks |
| | hadoop.hdfs.server.datanode.TestLargeBlockReport |
| | hadoop.hdfs.protocol.TestBlockListAsLongs |
| | hadoop.hdfs.server.balancer.TestBalancerWithHANameNodes |
| Subsystem | Report/Notes |
|----------:|:-------------|
| Docker | ClientAPI=1.44 ServerAPI=1.44 base:
https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-6558/3/artifact/out/Dockerfile
|
| GITHUB PR | https://github.com/apache/hadoop/pull/6558 |
| Optional Tests | dupname asflicense compile javac javadoc mvninstall
mvnsite unit shadedclient codespell detsecrets xmllint |
| uname | Linux 0d6104ede8ce 5.15.0-88-generic #98-Ubuntu SMP Mon Oct 2
15:18:56 UTC 2023 x86_64 x86_64 x86_64 GNU/Linux |
| Build tool | maven |
| Personality | dev-support/bin/hadoop.sh |
| git revision | branch-3.3 / 1c5b23bf32a9059ec12cb5b3628d38889910c0b9 |
| Default Java | Private Build-1.8.0_362-8u372-ga~us1-0ubuntu1~18.04-b09 |
| Test Results |
https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-6558/3/testReport/ |
| Max. process+thread count | 3736 (vs. ulimit of 5500) |
| modules | C: hadoop-project hadoop-hdfs-project/hadoop-hdfs
hadoop-client-modules/hadoop-client-minicluster U: . |
| Console output |
https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-6558/3/console |
| versions | git=2.17.1 maven=3.6.0 |
| 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: 3.3.4
> Reporter: woosuk.ro
> Priority: Minor
> Labels: pull-request-available
>
> In the current Hadoop 3.3 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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