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https://issues.apache.org/jira/browse/HDFS-12436?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Arpit Agarwal resolved HDFS-12436.
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Resolution: Duplicate
Indeed, thanks.
> TestClientProtocolForPipelineRecovery fails in trunk
> ----------------------------------------------------
>
> Key: HDFS-12436
> URL: https://issues.apache.org/jira/browse/HDFS-12436
> Project: Hadoop HDFS
> Issue Type: Bug
> Affects Versions: 3.0.0-beta1
> Reporter: Arpit Agarwal
> Priority: Blocker
>
> Fails consistently in trunk with the following exception:
> {code}
> Running org.apache.hadoop.hdfs.TestClientProtocolForPipelineRecovery
> Tests run: 11, Failures: 0, Errors: 1, Skipped: 0, Time elapsed: 71.317 sec
> <<< FAILURE! - in org.apache.hadoop.hdfs.TestClientProtocolForPipelineRecovery
> testZeroByteBlockRecovery(org.apache.hadoop.hdfs.TestClientProtocolForPipelineRecovery)
> Time elapsed: 11.422 sec <<< ERROR!
> 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[127.0.0.1:63722,DS-9befc828-8ff7-4284-8fba-a6c55627ab3d,DISK]],
>
> original=[DatanodeInfoWithStorage[127.0.0.1:63722,DS-9befc828-8ff7-4284-8fba-a6c55627ab3d,DISK]]).
> The current failed datanode replacement policy is ALWAYS, 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:1321)
> at
> org.apache.hadoop.hdfs.DataStreamer.addDatanode2ExistingPipeline(DataStreamer.java:1387)
> at
> org.apache.hadoop.hdfs.DataStreamer.handleDatanodeReplacement(DataStreamer.java:1586)
> at
> org.apache.hadoop.hdfs.DataStreamer.setupPipelineInternal(DataStreamer.java:1487)
> at
> org.apache.hadoop.hdfs.DataStreamer.setupPipelineForAppendOrRecovery(DataStreamer.java:1469)
> at
> org.apache.hadoop.hdfs.DataStreamer.processDatanodeOrExternalError(DataStreamer.java:1273)
> at org.apache.hadoop.hdfs.DataStreamer.run(DataStreamer.java:684)
> {code}
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