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https://issues.apache.org/jira/browse/MAPREDUCE-6577?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15070370#comment-15070370
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Sangjin Lee commented on MAPREDUCE-6577:
----------------------------------------
After looking into the Windows side of things for a while, I realize that there
are bigger issues to address on that side that go beyond the scope of this
JIRA. Also, Windows isn't exactly broken in the same manner as Linux is by
MAPREDUCE-6021 as it didn't really touch Windows.
I filed a separate JIRA to address the Windows parity and less major issues
(MAPREDUCE-6588). I propose we tackle the Windows aspect in that JIRA.
I'll update the patch shortly to preserve the Windows behavior as it is today.
> 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, MAPREDUCE-6577.02.patch,
> MAPREDUCE-6577.03.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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