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https://issues.apache.org/jira/browse/MAPREDUCE-7446?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17748550#comment-17748550
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ASF GitHub Bot commented on MAPREDUCE-7446:
-------------------------------------------

hadoop-yetus commented on PR #5895:
URL: https://github.com/apache/hadoop/pull/5895#issuecomment-1655464973

   :broken_heart: **-1 overall**
   
   
   
   
   
   
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[/blanks-eol.txt](https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-5895/5/artifact/out/blanks-eol.txt)
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> NegativeArraySizeException when running MR jobs with large data size
> --------------------------------------------------------------------
>
>                 Key: MAPREDUCE-7446
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-7446
>             Project: Hadoop Map/Reduce
>          Issue Type: Bug
>            Reporter: Peter Szucs
>            Assignee: Peter Szucs
>            Priority: Major
>              Labels: pull-request-available
>
> We are using bit shifting to double the byte array in IFile's 
> [nextRawValue|https://github.infra.cloudera.com/CDH/hadoop/blob/bef14a39c7616e3b9f437a6fb24fc7a55a676b57/hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-core/src/main/java/org/apache/hadoop/mapred/IFile.java#L437]
>  method to store the byte values in it. With large dataset it can easily 
> happen that we shift the leftmost bit when we are calculating the size of the 
> array, which can lead to a negative number as the array size, causing the 
> NegativeArraySizeException.
> It would be safer to expand the backing array with a 1.5x factor, and have a 
> check not to extend Integer's max value during that.



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