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From "Sangjin Lee (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (MAPREDUCE-6577) MR AM unable to load native library without MR_AM_ADMIN_USER_ENV set
Date Fri, 18 Dec 2015 04:48:47 GMT

    [ https://issues.apache.org/jira/browse/MAPREDUCE-6577?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15063442#comment-15063442
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Sangjin Lee commented on MAPREDUCE-6577:
----------------------------------------

All the issues that are flagged by jenkins (findbugs, javac, checkstyle, and unit tests) appear
to be existing issues that are unrelated to the patch.

I'd appreciate your review on the patch. Thanks!

> MR AM unable to load native library without MR_AM_ADMIN_USER_ENV set
> --------------------------------------------------------------------
>
>                 Key: MAPREDUCE-6577
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-6577
>             Project: Hadoop Map/Reduce
>          Issue Type: Bug
>          Components: mr-am
>    Affects Versions: 2.6.0
>            Reporter: Sangjin Lee
>            Assignee: Sangjin Lee
>            Priority: Critical
>         Attachments: MAPREDUCE-6577.01.patch
>
>
> If yarn.app.mapreduce.am.admin.user.env (or yarn.app.mapreduce.am.env) is not configured
to set LD_LIBRARY_PATH, MR AM will fail to load the native library:
> {noformat}
> 2015-12-15 21:29:22,473 WARN [main] org.apache.hadoop.util.NativeCodeLoader: Unable to
load native-hadoop library for your platform... using builtin-java classes where applicable
> {noformat}
> As a result, any code that needs the hadoop native library in the MR AM will fail. For
example, an uber-AM with lz4 compression for the mapper task will fail:
> {noformat}
> 2015-12-15 21:30:17,575 WARN [uber-SubtaskRunner] org.apache.hadoop.mapred.LocalContainerLauncher:
Exception running local (uberized) 'child' : java.lang.RuntimeException: native lz4 library
not available
> 	at org.apache.hadoop.io.compress.Lz4Codec.getCompressorType(Lz4Codec.java:125)
> 	at org.apache.hadoop.io.compress.CodecPool.getCompressor(CodecPool.java:148)
> 	at org.apache.hadoop.io.compress.CodecPool.getCompressor(CodecPool.java:163)
> 	at org.apache.hadoop.mapred.IFile$Writer.<init>(IFile.java:114)
> 	at org.apache.hadoop.mapred.IFile$Writer.<init>(IFile.java:97)
> 	at org.apache.hadoop.mapred.MapTask$MapOutputBuffer.sortAndSpill(MapTask.java:1602)
> 	at org.apache.hadoop.mapred.MapTask$MapOutputBuffer.flush(MapTask.java:1482)
> 	at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:457)
> 	at org.apache.hadoop.mapred.MapTask.run(MapTask.java:343)
> 	at org.apache.hadoop.mapred.LocalContainerLauncher$EventHandler.runSubtask(LocalContainerLauncher.java:391)
> 	at org.apache.hadoop.mapred.LocalContainerLauncher$EventHandler.runTask(LocalContainerLauncher.java:309)
> 	at org.apache.hadoop.mapred.LocalContainerLauncher$EventHandler.access$200(LocalContainerLauncher.java:195)
> 	at org.apache.hadoop.mapred.LocalContainerLauncher$EventHandler$1.run(LocalContainerLauncher.java:238)
> 	at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471)
> 	at java.util.concurrent.FutureTask.run(FutureTask.java:262)
> 	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> 	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> 	at java.lang.Thread.run(Thread.java:745)
> {noformat}



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