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https://issues.apache.org/jira/browse/HDFS-16993?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17772967#comment-17772967
 ] 

ASF GitHub Bot commented on HDFS-16993:
---------------------------------------

hadoop-yetus commented on PR #5597:
URL: https://github.com/apache/hadoop/pull/5597#issuecomment-1752006095

   :confetti_ball: **+1 overall**
   
   
   
   
   
   
   | Vote | Subsystem | Runtime |  Logfile | Comment |
   |:----:|----------:|--------:|:--------:|:-------:|
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   |||| _ trunk Compile Tests _ |
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Ubuntu-11.0.20+8-post-Ubuntu-1ubuntu120.04  |
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   |||| _ Patch Compile Tests _ |
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   |||| _ Other Tests _ |
   | +1 :green_heart: |  unit  | 224m  5s |  |  hadoop-hdfs in the patch 
passed.  |
   | +1 :green_heart: |  asflicense  |   0m 55s |  |  The patch does not 
generate ASF License warnings.  |
   |  |   | 340m 45s |  |  |
   
   
   | Subsystem | Report/Notes |
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https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-5597/2/artifact/out/Dockerfile
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   | GITHUB PR | https://github.com/apache/hadoop/pull/5597 |
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   |  Test Results | 
https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-5597/2/testReport/ |
   | Max. process+thread count | 3317 (vs. ulimit of 5500) |
   | modules | C: hadoop-hdfs-project/hadoop-hdfs U: 
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   | Powered by | Apache Yetus 0.14.0 https://yetus.apache.org |
   
   
   This message was automatically generated.
   
   




> Datanode supports configure TopN DatanodeNetworkCounts
> ------------------------------------------------------
>
>                 Key: HDFS-16993
>                 URL: https://issues.apache.org/jira/browse/HDFS-16993
>             Project: Hadoop HDFS
>          Issue Type: Wish
>    Affects Versions: 3.3.5
>            Reporter: farmmamba
>            Priority: Major
>              Labels: pull-request-available
>
> In our prod environment, we try to collect datanode metrics every 15s through 
> jmx_exporter.  we found the datanodenetworkerror metric generates a lot.
> for example, if we have a cluster with 1000 datanodes, every datanode may 
> generate 999 datanodenetworkerror metrics, and overall datanodes will 
> generate 1000 multiple 999 = 999000 metrics. This is a very expensive 
> operation. In most scenarios, we only need the topN of it.



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