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Posted to mapreduce-issues@hadoop.apache.org by "Miklos Szegedi (JIRA)" <ji...@apache.org> on 2017/07/31 21:40:00 UTC
[jira] [Commented] (MAPREDUCE-6922) MapReduce jobs may fail during
rolling upgrade due to MAPREDUCE-6829
[ https://issues.apache.org/jira/browse/MAPREDUCE-6922?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16108011#comment-16108011 ]
Miklos Szegedi commented on MAPREDUCE-6922:
-------------------------------------------
Thank you, Jason. I agree the distributed cache deployment solves this the issue, however I am not sure how many users use the other option. I think we should revert from branch-2. My understanding is that there is no rolling upgrade requirement from 2.x to 3.0.
> MapReduce jobs may fail during rolling upgrade due to MAPREDUCE-6829
> --------------------------------------------------------------------
>
> Key: MAPREDUCE-6922
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-6922
> Project: Hadoop Map/Reduce
> Issue Type: Bug
> Reporter: Miklos Szegedi
> Assignee: Miklos Szegedi
> Priority: Blocker
> Attachments: YARN-6922.branch-2.000.patch
>
>
> MAPREDUCE-6829 should be reverted from branch-2 because rolling upgrade fails.
> {code}
> 2017-06-08 17:43:37,173 WARN [Socket Reader #1 for port 41187] org.apache.hadoop.ipc.Server: Unable to read call parameters for client 10.17.242.22on connection protocol org.apache.hadoop.mapred.TaskUmbilicalProtocol for rpcKind RPC_WRITABLE
> java.lang.ArrayIndexOutOfBoundsException: 23
> at org.apache.hadoop.mapreduce.counters.FrameworkCounterGroup.readFields(FrameworkCounterGroup.java:261)
> at org.apache.hadoop.mapred.Counters$Group.readFields(Counters.java:324)
> at org.apache.hadoop.mapreduce.counters.AbstractCounters.readFields(AbstractCounters.java:306)
> at org.apache.hadoop.mapred.TaskStatus.readFields(TaskStatus.java:489)
> at org.apache.hadoop.mapred.MapTaskStatus.readFields(MapTaskStatus.java:88)
> at org.apache.hadoop.io.ObjectWritable.readObject(ObjectWritable.java:285)
> at org.apache.hadoop.ipc.WritableRpcEngine$Invocation.readFields(WritableRpcEngine.java:160)
> at org.apache.hadoop.ipc.Server$Connection.processRpcRequest(Server.java:1909)
> at org.apache.hadoop.ipc.Server$Connection.processOneRpc(Server.java:1841)
> at org.apache.hadoop.ipc.Server$Connection.readAndProcess(Server.java:1600)
> at org.apache.hadoop.ipc.Server$Listener.doRead(Server.java:820)
> at org.apache.hadoop.ipc.Server$Listener$Reader.doRunLoop(Server.java:693)
> at org.apache.hadoop.ipc.Server$Listener$Reader.run(Server.java:664)
> {code}
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