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https://issues.apache.org/jira/browse/MAPREDUCE-7521?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=18028525#comment-18028525
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ASF GitHub Bot commented on MAPREDUCE-7521:
-------------------------------------------

hadoop-yetus commented on PR #8017:
URL: https://github.com/apache/hadoop/pull/8017#issuecomment-3384135607

   :confetti_ball: **+1 overall**
   
   
   
   
   
   
   | Vote | Subsystem | Runtime |  Logfile | Comment |
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   |||| _ trunk Compile Tests _ |
   | +1 :green_heart: |  mvninstall  |  58m 14s |  |  trunk passed  |
   | +1 :green_heart: |  compile  |   0m 39s |  |  trunk passed with JDK 
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Ubuntu-11.0.27+6-post-Ubuntu-0ubuntu120.04  |
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Private Build-1.8.0_452-8u452-ga~us1-0ubuntu1~20.04-b09  |
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   |||| _ Patch Compile Tests _ |
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   | +1 :green_heart: |  compile  |   0m 27s |  |  the patch passed with JDK 
Private Build-1.8.0_452-8u452-ga~us1-0ubuntu1~20.04-b09  |
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   | +1 :green_heart: |  shadedclient  |  40m  5s |  |  patch has no errors 
when building and testing our client artifacts.  |
   |||| _ Other Tests _ |
   | +1 :green_heart: |  unit  | 120m 25s |  |  
hadoop-mapreduce-client-jobclient in the patch passed.  |
   | +1 :green_heart: |  asflicense  |   0m 44s |  |  The patch does not 
generate ASF License warnings.  |
   |  |   | 270m 47s |  |  |
   
   
   | Subsystem | Report/Notes |
   |----------:|:-------------|
   | Docker | ClientAPI=1.51 ServerAPI=1.51 base: 
https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-8017/3/artifact/out/Dockerfile
 |
   | GITHUB PR | https://github.com/apache/hadoop/pull/8017 |
   | Optional Tests | dupname asflicense compile javac javadoc mvninstall 
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   | uname | Linux 3dfa522611a4 5.15.0-157-generic #167-Ubuntu SMP Wed Sep 17 
21:35:53 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux |
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/usr/lib/jvm/java-8-openjdk-amd64:Private 
Build-1.8.0_452-8u452-ga~us1-0ubuntu1~20.04-b09 |
   |  Test Results | 
https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-8017/3/testReport/ |
   | Max. process+thread count | 1131 (vs. ulimit of 5500) |
   | modules | C: 
hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-jobclient
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hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-jobclient
 |
   | Console output | 
https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-8017/3/console |
   | versions | git=2.25.1 maven=3.9.11 spotbugs=4.2.2 |
   | Powered by | Apache Yetus 0.14.0 https://yetus.apache.org |
   
   
   This message was automatically generated.
   
   




> Fix TestUberAM failures after JUnit 5 migration
> -----------------------------------------------
>
>                 Key: MAPREDUCE-7521
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-7521
>             Project: Hadoop Map/Reduce
>          Issue Type: Improvement
>          Components: mapreduce-client
>    Affects Versions: 3.5.0
>            Reporter: Shilun Fan
>            Assignee: Shilun Fan
>            Priority: Major
>
> *Background:*
> After migrating the project to {*}JUnit 5{*}, the {{TestUberAM}} unit test 
> started failing intermittently. The error message observed during test 
> execution is as follows:
> {code:java}
> Remote File /apps_staging_dir/jenkins/.staging/job_1759472296837_0013/job.jar 
> could only be written to 0 of the 1 minReplication nodes. 
> There are 2 datanode(s) running and 2 node(s) are excluded in this operation. 
> {code}
> This error originates from
> {code:java}
> org.apache.hadoop.hdfs.server.blockmanagement.BlockManager.chooseTarget4NewBlock
>  {code}
> indicating that the MiniDFSCluster used in the test failed to find available 
> data nodes for block writes during execution.
> *Change Summary:*
>  * Removed redundant invocation of the parent class’s {{BeforeAll}} method in 
> subclasses to prevent double initialization.
>  * Increased MiniDFSCluster data node count from 2 to 5 to improve fault 
> tolerance.
>  * Verified that all affected tests pass successfully.
> *Impact Scope:*
>  * Affects only AM tests based on MiniDFSCluster.
>  * No impact on business logic or production code.



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