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Date: Fri, 28 Oct 2016 05:26:58 +0000 (UTC)
From: "shenxianqiang (JIRA)" <jira@apache.org>
To: mapreduce-issues@hadoop.apache.org
Message-ID: <JIRA.13016038.1477631622000.114250.1477632418380@Atlassian.JIRA>
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References: <JIRA.13016038.1477631622000@Atlassian.JIRA> <JIRA.13016038.1477631622557@arcas>
Subject: [jira] [Commented] (MAPREDUCE-6805) Negative Array Exception while
 reducer fetch mapper output
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archived-at: Fri, 28 Oct 2016 05:27:00 -0000


    [ https://issues.apache.org/jira/browse/MAPREDUCE-6805?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15614354#comment-15614354 ] 

shenxianqiang commented on MAPREDUCE-6805:
------------------------------------------

mapper log:
{quote}
2016-10-28 07:51:27,225 INFO [main] org.apache.hadoop.mapred.Merger: Merging 37 sorted segments
2016-10-28 07:51:27,233 INFO [main] org.apache.hadoop.mapred.Merger: Merging 10 intermediate segments out of a total of 37
2016-10-28 07:51:42,488 INFO [main] org.apache.hadoop.mapred.Merger: Merging 10 intermediate segments out of a total of 28
2016-10-28 07:51:58,390 INFO [main] org.apache.hadoop.mapred.Merger: Merging 10 intermediate segments out of a total of 19
2016-10-28 07:52:14,849 INFO [main] org.apache.hadoop.mapred.Merger: Down to the last merge-pass, with 10 segments left of total size: 2368930365 bytes
2016-10-28 07:53:16,168 INFO [main] org.apache.hadoop.mapred.Task: Task:attempt_1477008840094_147160_m_000001_0 is done. And is in the process of committing
{quote}
current mapper output size : 2368930365,it is too larger than the size of int(about 2.1billon).
In the function InMemoryMapOutput:
{quote}
  private synchronized InMemoryMapOutput<K, V> unconditionalReserve(
      TaskAttemptID mapId, long requestedSize, boolean primaryMapOutput) {
    usedMemory += requestedSize;
    return new InMemoryMapOutput<K,V>(jobConf, mapId, this, (int)requestedSize,
                                      codec, primaryMapOutput);
{quote}
There is a type conversion,which lead to requestedSize negative.
In my opinion, We should use long type in class InMemoryMapOutput.

> Negative Array Exception while reducer fetch mapper output
> ----------------------------------------------------------
>
>                 Key: MAPREDUCE-6805
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-6805
>             Project: Hadoop Map/Reduce
>          Issue Type: Bug
>          Components: mrv2
>    Affects Versions: 2.6.0
>         Environment: CHD5.7.0
>            Reporter: shenxianqiang
>            Priority: Minor
>
> MapReduce job stuck with a Negative Array Size exception thrown by the reducer,lead to MR job failed
> stack trace:
> {quote}
> 2016-10-28 08:01:16,882 WARN [main] org.apache.hadoop.security.UserGroupInformation: PriviledgedActionException as:web_vr (auth:SIMPLE) cause:org.apache.hadoop.mapreduce.task.reduce.Shuffle$ShuffleError: error in shuffle in fetcher#3
> 2016-10-28 08:01:16,883 WARN [main] org.apache.hadoop.mapred.YarnChild: Exception running child : org.apache.hadoop.mapreduce.task.reduce.Shuffle$ShuffleError: error in shuffle in fetcher#3
> 	at org.apache.hadoop.mapreduce.task.reduce.Shuffle.run(Shuffle.java:134)
> 	at org.apache.hadoop.mapred.ReduceTask.run(ReduceTask.java:376)
> 	at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:164)
> 	at java.security.AccessController.doPrivileged(Native Method)
> 	at javax.security.auth.Subject.doAs(Subject.java:415)
> 	at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1930)
> 	at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:158)
> Caused by: java.lang.NegativeArraySizeException
> 	at org.apache.hadoop.io.BoundedByteArrayOutputStream.<init>(BoundedByteArrayOutputStream.java:56)
> 	at org.apache.hadoop.io.BoundedByteArrayOutputStream.<init>(BoundedByteArrayOutputStream.java:46)
> 	at org.apache.hadoop.mapreduce.task.reduce.InMemoryMapOutput.<init>(InMemoryMapOutput.java:63)
> 	at org.apache.hadoop.mapreduce.task.reduce.MergeManagerImpl.unconditionalReserve(MergeManagerImpl.java:305)
> 	at org.apache.hadoop.mapreduce.task.reduce.MergeManagerImpl.reserve(MergeManagerImpl.java:295)
> 	at org.apache.hadoop.mapreduce.task.reduce.Fetcher.copyMapOutput(Fetcher.java:514)
> 	at org.apache.hadoop.mapreduce.task.reduce.Fetcher.copyFromHost(Fetcher.java:336)
> 	at org.apache.hadoop.mapreduce.task.reduce.Fetcher.run(Fetcher.java:193)
> {quote}


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