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https://issues.apache.org/jira/browse/HDFS-16155?focusedWorklogId=642544&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-642544
 ]

ASF GitHub Bot logged work on HDFS-16155:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 26/Aug/21 19:30
            Start Date: 26/Aug/21 19:30
    Worklog Time Spent: 10m 
      Work Description: hadoop-yetus commented on pull request #3271:
URL: https://github.com/apache/hadoop/pull/3271#issuecomment-906684045


   :confetti_ball: **+1 overall**
   
   
   
   
   
   
   | Vote | Subsystem | Runtime |  Logfile | Comment |
   |:----:|----------:|--------:|:--------:|:-------:|
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   |||| _ Prechecks _ |
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   |||| _ trunk Compile Tests _ |
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   | +1 :green_heart: |  shadedclient  |  18m 38s |  |  branch has no errors 
when building and testing our client artifacts.  |
   |||| _ Patch Compile Tests _ |
   | +0 :ok: |  mvndep  |   0m 27s |  |  Maven dependency ordering for patch  |
   | +1 :green_heart: |  mvninstall  |   2m 29s |  |  the patch passed  |
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Ubuntu-11.0.11+9-Ubuntu-0ubuntu2.20.04  |
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issues.  |
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Ubuntu-11.0.11+9-Ubuntu-0ubuntu2.20.04  |
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   | +1 :green_heart: |  shadedclient  |  16m 48s |  |  patch has no errors 
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   |||| _ Other Tests _ |
   | +1 :green_heart: |  unit  |   2m 28s |  |  hadoop-hdfs-client in the patch 
passed.  |
   | +1 :green_heart: |  unit  | 245m  3s |  |  hadoop-hdfs in the patch 
passed.  |
   | +1 :green_heart: |  asflicense  |   0m 44s |  |  The patch does not 
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   |  |   | 372m 18s |  |  |
   
   
   | Subsystem | Report/Notes |
   |----------:|:-------------|
   | Docker | ClientAPI=1.41 ServerAPI=1.41 base: 
https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-3271/7/artifact/out/Dockerfile
 |
   | GITHUB PR | https://github.com/apache/hadoop/pull/3271 |
   | JIRA Issue | HDFS-16155 |
   | Optional Tests | dupname asflicense compile javac javadoc mvninstall 
mvnsite unit shadedclient spotbugs checkstyle codespell xml |
   | uname | Linux 37c7e964f56c 4.15.0-151-generic #157-Ubuntu SMP Fri Jul 9 
23:07:57 UTC 2021 x86_64 x86_64 x86_64 GNU/Linux |
   | Build tool | maven |
   | Personality | dev-support/bin/hadoop.sh |
   | git revision | trunk / 4e1300a8d082ded6433c90f1a8f907f355920e92 |
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Build-1.8.0_292-8u292-b10-0ubuntu1~20.04-b10 |
   |  Test Results | 
https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-3271/7/testReport/ |
   | Max. process+thread count | 3435 (vs. ulimit of 5500) |
   | modules | C: hadoop-hdfs-project/hadoop-hdfs-client 
hadoop-hdfs-project/hadoop-hdfs U: hadoop-hdfs-project |
   | Console output | 
https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-3271/7/console |
   | versions | git=2.25.1 maven=3.6.3 spotbugs=4.2.2 |
   | Powered by | Apache Yetus 0.14.0-SNAPSHOT https://yetus.apache.org |
   
   
   This message was automatically generated.
   
   


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Issue Time Tracking
-------------------

    Worklog Id:     (was: 642544)
    Time Spent: 2h 20m  (was: 2h 10m)

> Allow configurable exponential backoff in DFSInputStream refetchLocations
> -------------------------------------------------------------------------
>
>                 Key: HDFS-16155
>                 URL: https://issues.apache.org/jira/browse/HDFS-16155
>             Project: Hadoop HDFS
>          Issue Type: Improvement
>          Components: dfsclient
>            Reporter: Bryan Beaudreault
>            Assignee: Bryan Beaudreault
>            Priority: Minor
>              Labels: pull-request-available
>          Time Spent: 2h 20m
>  Remaining Estimate: 0h
>
> The retry policy in 
> [DFSInputStream#refetchLocations|https://github.com/apache/hadoop/blob/trunk/hadoop-hdfs-project/hadoop-hdfs-client/src/main/java/org/apache/hadoop/hdfs/DFSInputStream.java#L1018-L1040]
>  was first written many years ago. It allows configuration of the base time 
> window, but subsequent retries double in an un-configurable way. This retry 
> strategy makes sense in some clusters as it's very conservative and will 
> avoid DDOSing the namenode in certain systemic failure modes – for example, 
> if a  file is being read by a large hadoop job and the underlying blocks are 
> moved by the balancer. In this case, enough datanodes would be added to the 
> deadNodes list and all hadoop tasks would simultaneously try to refetch the 
> blocks. The 3s doubling with random factor helps break up that stampeding 
> herd.
> However, not all cluster use-cases are created equal, so there are other 
> cases where a more aggressive initial backoff is preferred. For example in a 
> low-latency single reader scenario. In this case, if the balancer moves 
> enough blocks, the reader hits this 3s backoff which is way too long for a 
> low latency use-case.
> One could configure the the window very low (10ms), but then you can hit 
> other systemic failure modes which would result in readers DDOSing the 
> namenode again. For example, if blocks went missing due to truly dead 
> datanodes. In this case, many readers might be refetching locations for 
> different files with retry backoffs like 10ms, 20ms, 40ms, etc. It takes a 
> while to backoff enough to avoid impacting the namenode with that strategy.
> I suggest adding a configurable multiplier to the backoff strategy so that 
> operators can tune this as they see fit for their use-case. In the above low 
> latency case, one could set the base very low (say 2ms) and the multiplier 
> very high (say 50). This gives an aggressive first retry that very quickly 
> backs off.



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