[
https://issues.apache.org/jira/browse/HADOOP-4362?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Devaraj Das updated HADOOP-4362:
--------------------------------
Component/s: (was: contrib/streaming)
dfs
Peeyush offline got this stack trace when he tried to run wordcount. Looks like
a DFS issue - maybe HADOOP-4351. If dfs folks think so, please mark this bug as
a duplicate.
hadoop jar hadoop-examples.jar wordcount -m 8 -r 2
/foo/bar/part-*/user/foo/testop1
08/10/07 16:27:14 INFO mapred.FileInputFormat: Total input paths to process :
16349
08/10/07 16:27:15 INFO mapred.FileInputFormat: Total input paths to process :
16349
org.apache.hadoop.ipc.RemoteException: java.io.IOException:
java.lang.ArrayIndexOutOfBoundsException
at org.apache.hadoop.ipc.Client.call(Client.java:715)
at org.apache.hadoop.ipc.RPC$Invoker.invoke(RPC.java:216)
at org.apache.hadoop.dfs.$Proxy0.getBlockLocations(Unknown Source)
at sun.reflect.GeneratedMethodAccessor2.invoke(Unknown Source)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)
at java.lang.reflect.Method.invoke(Method.java:597)
at
org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:82)
at
org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:59)
at org.apache.hadoop.dfs.$Proxy0.getBlockLocations(Unknown Source)
at
org.apache.hadoop.dfs.DFSClient.callGetBlockLocations(DFSClient.java:297)
at
org.apache.hadoop.dfs.DFSClient.getBlockLocations(DFSClient.java:318)
at
org.apache.hadoop.dfs.DistributedFileSystem.getFileBlockLocations(DistributedFileSystem.java:137)
at
org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.java:241)
at org.apache.hadoop.mapred.JobClient.submitJob(JobClient.java:742)
at org.apache.hadoop.mapred.JobClient.runJob(JobClient.java:1026)
at org.apache.hadoop.examples.WordCount.run(WordCount.java:149)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:65)
at org.apache.hadoop.examples.WordCount.main(WordCount.java:155)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)
at java.lang.reflect.Method.invoke(Method.java:597)
at
org.apache.hadoop.util.ProgramDriver$ProgramDescription.invoke(ProgramDriver.java:68)
at org.apache.hadoop.util.ProgramDriver.driver(ProgramDriver.java:139)
at org.apache.hadoop.examples.ExampleDriver.main(ExampleDriver.java:53)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)
at java.lang.reflect.Method.invoke(Method.java:597)
at org.apache.hadoop.util.RunJar.main(RunJar.java:155)
at org.apache.hadoop.mapred.JobShell.run(JobShell.java:54)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:65)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:79)
at org.apache.hadoop.mapred.JobShell.main(JobShell.java:68)
> Hadoop Streaming failed with large number of input files
> --------------------------------------------------------
>
> Key: HADOOP-4362
> URL: https://issues.apache.org/jira/browse/HADOOP-4362
> Project: Hadoop Core
> Issue Type: Bug
> Components: dfs
> Affects Versions: 0.18.1
> Reporter: Peeyush Bishnoi
> Assignee: Devaraj Das
> Priority: Blocker
> Fix For: 0.18.2, 0.19.0
>
>
> Simple job failed with "java.lang.ArrayIndexOutOfBoundsException" when the
> mapper is /bin/cat and the number of input files is large.
> $ hadoop jar $HADOOP_HOME/hadoop-streaming.jar -input in_data -output
> op_data -mapper /bin/cat -reducer NONE
> additionalConfSpec_:null
> null=@@@userJobConfProps_.get(stream.shipped.hadoopstreaming
> packageJobJar: [/tmp/hadoop-unjar49637/] []
> /tmp/streamjob49638.jar tmpDir=/tmp
> 08/10/07 07:03:09 WARN mapred.JobClient: Use GenericOptionsParser for parsing
> the arguments. Applications should
> implement Tool for the same.
> 08/10/07 07:03:11 INFO mapred.FileInputFormat: Total input paths to process :
> 16365
> 08/10/07 07:03:12 INFO mapred.FileInputFormat: Total input paths to process :
> 16365
> 08/10/07 07:03:15 ERROR streaming.StreamJob: Error Launching job :
> java.io.IOException:
> java.lang.ArrayIndexOutOfBoundsException
> Streaming Job Failed!
> But when the input number of files are less job does not fail .
> $ hadoop jar $HADOOP_HOME/hadoop-streaming.jar -input inp_data1 -output
> op_data1 -mapper /bin/cat -reducer NONE
> additionalConfSpec_:null
> null=@@@userJobConfProps_.get(stream.shipped.hadoopstreaming
> packageJobJar: [/tmp/hadoop-unjar3725/] []
> /tmp/streamjob3726.jar tmpDir=/tmp
> 08/10/07 07:06:37 WARN mapred.JobClient: Use GenericOptionsParser for parsing
> the arguments. Applications should
> implement Tool for the same.
> 08/10/07 07:06:39 INFO mapred.FileInputFormat: Total input paths to process :
> 16
> 08/10/07 07:06:39 INFO mapred.FileInputFormat: Total input paths to process :
> 16
> 08/10/07 07:06:42 INFO streaming.StreamJob: getLocalDirs():
> [/var/mapred/local]
> 08/10/07 07:06:42 INFO streaming.StreamJob: Running job: job_200810070645_0006
> 08/10/07 07:06:42 INFO streaming.StreamJob: To kill this job, run:
> 08/10/07 07:06:42 INFO streaming.StreamJob: hadoop job
> -Dmapred.job.tracker=login1:51981 -kill job_200810070645_0006
> 08/10/07 07:06:42 INFO streaming.StreamJob: Tracking URL:
> http://login1:52941/jobdetails.jsp?jobid=job_200810070645_0006
> 08/10/07 07:06:43 INFO streaming.StreamJob: map 0% reduce 0%
> 08/10/07 07:06:46 INFO streaming.StreamJob: map 44% reduce 0%
> 08/10/07 07:06:47 INFO streaming.StreamJob: map 75% reduce 0%
> 08/10/07 07:06:48 INFO streaming.StreamJob: map 88% reduce 0%
> 08/10/07 07:06:49 INFO streaming.StreamJob: map 100% reduce 100%
> 08/10/07 07:06:49 INFO streaming.StreamJob: Job complete:
> job_200810070645_0006
> 08/10/07 07:06:49 INFO streaming.StreamJob: Output: op_data1
--
This message is automatically generated by JIRA.
-
You can reply to this email to add a comment to the issue online.