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https://issues.apache.org/jira/browse/HDFS-16949?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17700463#comment-17700463
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ASF GitHub Bot commented on HDFS-16949:
---------------------------------------

hadoop-yetus commented on PR #5479:
URL: https://github.com/apache/hadoop/pull/5479#issuecomment-1469197931

   :broken_heart: **-1 overall**
   
   
   
   
   
   
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include 2 new or modified test files.  |
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issues.  |
   | -0 :warning: |  checkstyle  |   3m 34s | 
[/results-checkstyle-root.txt](https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-5479/1/artifact/out/results-checkstyle-root.txt)
 |  root: The patch generated 3 new + 206 unchanged - 3 fixed = 209 total (was 
209)  |
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   | +1 :green_heart: |  javadoc  |   2m 11s |  |  the patch passed with JDK 
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Private Build-1.8.0_362-8u362-ga-0ubuntu1~20.04.1-b09  |
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   |||| _ Other Tests _ |
   | +1 :green_heart: |  unit  |  18m 15s |  |  hadoop-common in the patch 
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[/patch-unit-hadoop-hdfs-project_hadoop-hdfs.txt](https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-5479/1/artifact/out/patch-unit-hadoop-hdfs-project_hadoop-hdfs.txt)
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   | Reason | Tests |
   |-------:|:------|
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   |   | hadoop.hdfs.server.balancer.TestBalancer |
   |   | hadoop.hdfs.server.balancer.TestBalancerRPCDelay |
   |   | hadoop.hdfs.server.balancer.TestBalancerLongRunningTasks |
   |   | hadoop.hdfs.server.sps.TestExternalStoragePolicySatisfier |
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hadoop.hdfs.server.blockmanagement.TestReconstructStripedBlocksWithRackAwareness
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   |   | hadoop.hdfs.server.blockmanagement.TestErasureCodingCorruption |
   
   
   | Subsystem | Report/Notes |
   |----------:|:-------------|
   | Docker | ClientAPI=1.42 ServerAPI=1.42 base: 
https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-5479/1/artifact/out/Dockerfile
 |
   | GITHUB PR | https://github.com/apache/hadoop/pull/5479 |
   | Optional Tests | dupname asflicense mvnsite codespell detsecrets 
markdownlint compile javac javadoc mvninstall unit shadedclient spotbugs 
checkstyle |
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   | Build tool | maven |
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 /usr/lib/jvm/java-8-openjdk-amd64:Private 
Build-1.8.0_362-8u362-ga-0ubuntu1~20.04.1-b09 |
   |  Test Results | 
https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-5479/1/testReport/ |
   | Max. process+thread count | 3153 (vs. ulimit of 5500) |
   | modules | C: hadoop-common-project/hadoop-common 
hadoop-hdfs-project/hadoop-hdfs U: . |
   | Console output | 
https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-5479/1/console |
   | versions | git=2.25.1 maven=3.6.3 spotbugs=4.2.2 |
   | Powered by | Apache Yetus 0.14.0 https://yetus.apache.org |
   
   
   This message was automatically generated.
   
   




> Update ReadTransferRate to ReadLatencyPerGB for effective percentile metrics
> ----------------------------------------------------------------------------
>
>                 Key: HDFS-16949
>                 URL: https://issues.apache.org/jira/browse/HDFS-16949
>             Project: Hadoop HDFS
>          Issue Type: Bug
>          Components: datanode
>            Reporter: Ravindra Dingankar
>            Assignee: Ravindra Dingankar
>            Priority: Minor
>              Labels: pull-request-available
>             Fix For: 3.3.0, 3.4.0
>
>
> HDFS-16917 added ReadTransferRate quantiles to calculate the rate which data 
> is read per unit of time.
> With percentiles the values are sorted in ascending order and hence for the 
> transfer rate p90 gives us the value where 90 percent rates are lower 
> (worse), p99 gives us the value where 99 percent values are lower (worse).
> Note that value(p90) < p(99) thus p99 is a better transfer rate as compared 
> to p90.
> However as the percentile increases the value should become worse in order to 
> know how good our system is.
> Hence instead of calculating the data read transfer rate, we should calculate 
> it's inverse. We will instead calculate the time taken for a GB of data to be 
> read. ( seconds / GB )
> After this the p90 value will give us 90 percentage of total values where the 
> time taken is less than value(p90), similarly for p99 and others.
> Also p(90) < p(99) and here p(99) will become a worse value (taking more time 
> each byte) as compared to p(90)



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