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https://issues.apache.org/jira/browse/HDFS-16601?focusedWorklogId=780278&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-780278
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ASF GitHub Bot logged work on HDFS-16601:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 10/Jun/22 10:32
            Start Date: 10/Jun/22 10:32
    Worklog Time Spent: 10m 
      Work Description: ZanderXu commented on PR #4369:
URL: https://github.com/apache/hadoop/pull/4369#issuecomment-1152220339

   Got, thanks @Hexiaoqiao .
   
   > Actually, I mean, it will be helpful for client to do many fault-tolerant 
improvement later if we could differ the exception about transfer
   
   I will try to work for it.




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

    Worklog Id:     (was: 780278)
    Time Spent: 1h 50m  (was: 1h 40m)

> Failed to replace a bad datanode on the existing pipeline due to no more good 
> datanodes being available to try
> --------------------------------------------------------------------------------------------------------------
>
>                 Key: HDFS-16601
>                 URL: https://issues.apache.org/jira/browse/HDFS-16601
>             Project: Hadoop HDFS
>          Issue Type: Bug
>            Reporter: ZanderXu
>            Assignee: ZanderXu
>            Priority: Major
>              Labels: pull-request-available
>          Time Spent: 1h 50m
>  Remaining Estimate: 0h
>
> In our production environment, we found a bug and stack like:
> {code:java}
> java.io.IOException: Failed to replace a bad datanode on the existing 
> pipeline due to no more good datanodes being available to try. (Nodes: 
> current=[DatanodeInfoWithStorage[127.0.0.1:59687,DS-b803febc-7b22-4144-9b39-7bf521cdaa8d,DISK],
>  
> DatanodeInfoWithStorage[127.0.0.1:59670,DS-0d652bc2-1784-430d-961f-750f80a290f1,DISK]],
>  
> original=[DatanodeInfoWithStorage[127.0.0.1:59670,DS-0d652bc2-1784-430d-961f-750f80a290f1,DISK],
>  
> DatanodeInfoWithStorage[127.0.0.1:59687,DS-b803febc-7b22-4144-9b39-7bf521cdaa8d,DISK]]).
>  The current failed datanode replacement policy is DEFAULT, and a client may 
> configure this via 
> 'dfs.client.block.write.replace-datanode-on-failure.policy' in its 
> configuration.
>       at 
> org.apache.hadoop.hdfs.DataStreamer.findNewDatanode(DataStreamer.java:1418)
>       at 
> org.apache.hadoop.hdfs.DataStreamer.addDatanode2ExistingPipeline(DataStreamer.java:1478)
>       at 
> org.apache.hadoop.hdfs.DataStreamer.handleDatanodeReplacement(DataStreamer.java:1704)
>       at 
> org.apache.hadoop.hdfs.DataStreamer.setupPipelineInternal(DataStreamer.java:1605)
>       at 
> org.apache.hadoop.hdfs.DataStreamer.setupPipelineForAppendOrRecovery(DataStreamer.java:1587)
>       at 
> org.apache.hadoop.hdfs.DataStreamer.processDatanodeOrExternalError(DataStreamer.java:1371)
>       at org.apache.hadoop.hdfs.DataStreamer.run(DataStreamer.java:674)
> {code}
> And the root cause is that DFSClient cannot  perceive the exception of 
> TransferBlock during PipelineRecovery. If failed during TransferBlock, the 
> DFSClient will retry all datanodes in the cluster and then failed.



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