[
https://issues.apache.org/jira/browse/TEZ-2602?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14620174#comment-14620174
]
Tsuyoshi Ozawa commented on TEZ-2602:
-------------------------------------
[~rajesh.balamohan] I could reproduce the problem with 500mb data. How to
generate data is:
{code}
$ hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.1.jar
randomtextwriter -Dmapreduce.framework.name=yarn-tez
-Dmapreduce.randomtextwriter.totalbytes=500000000 wc500mb
{code}
How to launch the job is:
{code}
$ time hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.1.jar
wordcount -Dmapreduce.framework.name=yarn-tez -Dmapred.reduce.tasks=15
-Dtez.runtime.sort.threads=1 -Dmapreduce.map.sort.spill.percent=0.1
-Dio.sort.mb=1 wc500mb3 tezdebug/10
{code}
{quote}
15/07/09 09:20:11 INFO mapreduce.Job: Running job: job_1435943097882_0035
15/07/09 09:20:12 INFO mapreduce.Job: Job job_1435943097882_0035 running in
uber mode : false
15/07/09 09:20:12 INFO mapreduce.Job: map 0% reduce 0%
15/07/09 09:20:18 INFO mapreduce.Job: Job job_1435943097882_0035 failed with
state FAILED due to: Vertex failed, vertexName=initialmap,
vertexId=vertex_1435943097882_0035_1_00, diagnostics=[Task failed,
taskId=task_1435943097882_0035_1_00_000003, diagnostics=[TaskAttempt 0 failed,
info=[Error: Failure while running task:java.io.EOFException
at java.io.DataInputStream.readFully(DataInputStream.java:197)
at org.apache.hadoop.io.Text.readWithKnownLength(Text.java:319)
at org.apache.hadoop.io.Text.readFields(Text.java:291)
at
org.apache.hadoop.io.serializer.WritableSerialization$WritableDeserializer.deserialize(WritableSerialization.java:71)
at
org.apache.hadoop.io.serializer.WritableSerialization$WritableDeserializer.deserialize(WritableSerialization.java:42)
at
org.apache.hadoop.mapreduce.task.ReduceContextImpl.nextKeyValue(ReduceContextImpl.java:142)
at
org.apache.hadoop.mapreduce.task.ReduceContextImpl.nextKey(ReduceContextImpl.java:121)
at
org.apache.hadoop.mapreduce.lib.reduce.WrappedReducer$Context.nextKey(WrappedReducer.java:302)
at org.apache.hadoop.mapreduce.Reducer.run(Reducer.java:170)
at
org.apache.tez.mapreduce.combine.MRCombiner.runNewCombiner(MRCombiner.java:191)
at
org.apache.tez.mapreduce.combine.MRCombiner.combine(MRCombiner.java:115)
at
org.apache.tez.runtime.library.common.sort.impl.ExternalSorter.runCombineProcessor(ExternalSorter.java:285)
at
org.apache.tez.runtime.library.common.sort.impl.PipelinedSorter.spill(PipelinedSorter.java:463)
at
org.apache.tez.runtime.library.common.sort.impl.PipelinedSorter.sort(PipelinedSorter.java:219)
at
org.apache.tez.runtime.library.common.sort.impl.PipelinedSorter.collect(PipelinedSorter.java:311)
at
org.apache.tez.runtime.library.common.sort.impl.PipelinedSorter.write(PipelinedSorter.java:267)
at
org.apache.tez.runtime.library.output.OrderedPartitionedKVOutput$1.write(OrderedPartitionedKVOutput.java:164)
at
org.apache.tez.mapreduce.processor.map.MapProcessor$NewOutputCollector.write(MapProcessor.java:363)
at
org.apache.tez.mapreduce.hadoop.mapreduce.TaskInputOutputContextImpl.write(TaskInputOutputContextImpl.java:90)
at
org.apache.hadoop.mapreduce.lib.map.WrappedMapper$Context.write(WrappedMapper.java:112)
at
org.apache.hadoop.examples.WordCount$TokenizerMapper.map(WordCount.java:47)
at
org.apache.hadoop.examples.WordCount$TokenizerMapper.map(WordCount.java:36)
at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:146)
at
org.apache.tez.mapreduce.processor.map.MapProcessor.runNewMapper(MapProcessor.java:237)
at
org.apache.tez.mapreduce.processor.map.MapProcessor.run(MapProcessor.java:124)
at
org.apache.tez.runtime.LogicalIOProcessorRuntimeTask.run(LogicalIOProcessorRuntimeTask.java:345)
at
org.apache.tez.runtime.task.TezTaskRunner$TaskRunnerCallable$1.run(TezTaskRunner.java:179)
at
org.apache.tez.runtime.task.TezTaskRunner$TaskRunnerCallable$1.run(TezTaskRunner.java:171)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:415)
at
org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1657)
at
org.apache.tez.runtime.task.TezTaskRunner$TaskRunnerCallable.callInternal(TezTaskRunner.java:171)
at
org.apache.tez.runtime.task.TezTaskRunner$TaskRunnerCallable.callInternal(TezTaskRunner.java:167)
at org.apache.tez.common.CallableWithNdc.call(CallableWithNdc.java:36)
at java.util.concurrent.FutureTask.run(FutureTask.java:262)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
]], Vertex did not succeed due to OWN_TASK_FAILURE, failedTasks:1
killedTasks:3, Vertex vertex_1435943097882_0035_1_00 [initialmap] killed/failed
due to:null]. Vertex killed, vertexName=finalreduce,
vertexId=vertex_1435943097882_0035_1_01, diagnostics=[Vertex received Kill
while in RUNNING state., Vertex did not succeed due to OTHER_VERTEX_FAILURE,
failedTasks:0 killedTasks:15, Vertex vertex_1435943097882_0035_1_01
[finalreduce] killed/failed due to:null]. DAG did not succeed due to
VERTEX_FAILURE. failedVertices:1 killedVertices:1
15/07/09 09:20:18 INFO mapreduce.Job: Counters: 0
{quote}
> Throwing EOFException when launching MR job
> -------------------------------------------
>
> Key: TEZ-2602
> URL: https://issues.apache.org/jira/browse/TEZ-2602
> Project: Apache Tez
> Issue Type: Bug
> Affects Versions: 0.8.0
> Reporter: Tsuyoshi Ozawa
>
> {quote}
> $hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.1.jar
> wordcount -Dmapreduce.framework.name=yarn-tez -Dmapr
> ed.reduce.tasks=15 -Dtez.runtime.sort.threads=1 wc10g tezwc10g5
> 15/07/07 13:24:30 INFO client.RMProxy: Connecting to ResourceManager at
> /127.0.0.1:8081
>
>
> 15/07/07 13:24:30 INFO client.AHSProxy: Connecting to Application History
> server at /0.0.0.0:10200
> 15/07/07 13:24:30 INFO mapreduce.Job: The url to track the job:
> http://ip-172-31-4-8.ap-northeast-1.compute.internal:8088/proxy/application_1435943097882_0019/
>
>
> 15/07/07 13:24:30 INFO mapreduce.Job: Running job: job_1435943097882_0019
> 15/07/07 13:24:31 INFO mapreduce.Job: Job job_1435943097882_0019 running in
> uber mode : false
>
>
> 15/07/07 13:24:31 INFO mapreduce.Job: map 0% reduce 0%
> 15/07/07 13:24:59 INFO mapreduce.Job: Job job_1435943097882_0019 failed with
> state FAILED due to: Vertex failed, vertexName=initialmap,
> vertexId=vertex_1435943097882_0019_1_00, diagnostics=[Task failed,
> taskId=task_1435943097882_0019_1_00_000005, diagnostics=[TaskAttempt 0
> failed, info=[Error: Failure while running task:java.io.EOFException
> at java.io.DataInputStream.readFully(DataInputStream.java:197)
>
>
>
> at org.apache.hadoop.io.Text.readWithKnownLength(Text.java:319)
> at org.apache.hadoop.io.Text.readFields(Text.java:291)
>
>
>
> at
> org.apache.hadoop.io.serializer.WritableSerialization$WritableDeserializer.deserialize(WritableSerialization.java:71)
> at
> org.apache.hadoop.io.serializer.WritableSerialization$WritableDeserializer.deserialize(WritableSerialization.java:42)
>
>
> at
> org.apache.hadoop.mapreduce.task.ReduceContextImpl.nextKeyValue(ReduceContextImpl.java:142)
> at
> org.apache.hadoop.mapreduce.task.ReduceContextImpl.nextKey(ReduceContextImpl.java:121)
>
>
>
> at
> org.apache.hadoop.mapreduce.lib.reduce.WrappedReducer$Context.nextKey(WrappedReducer.java:302)
> at org.apache.hadoop.mapreduce.Reducer.run(Reducer.java:170)
>
>
>
> at
> org.apache.tez.mapreduce.combine.MRCombiner.runNewCombiner(MRCombiner.java:191)
> at
> org.apache.tez.mapreduce.combine.MRCombiner.combine(MRCombiner.java:115)
>
>
>
> at
> org.apache.tez.runtime.library.common.sort.impl.ExternalSorter.runCombineProcessor(ExternalSorter.java:285)
> at
> org.apache.tez.runtime.library.common.sort.impl.PipelinedSorter.spill(PipelinedSorter.java:463)
>
>
> at
> org.apache.tez.runtime.library.common.sort.impl.PipelinedSorter.sort(PipelinedSorter.java:219)
> at
> org.apache.tez.runtime.library.common.sort.impl.PipelinedSorter.collect(PipelinedSorter.java:311)
>
>
> at
> org.apache.tez.runtime.library.common.sort.impl.PipelinedSorter.write(PipelinedSorter.java:267)
> at
> org.apache.tez.runtime.library.output.OrderedPartitionedKVOutput$1.write(OrderedPartitionedKVOutput.java:164)
>
>
> at
> org.apache.tez.mapreduce.processor.map.MapProcessor$NewOutputCollector.write(MapProcessor.java:363)
> at
> org.apache.tez.mapreduce.hadoop.mapreduce.TaskInputOutputContextImpl.write(TaskInputOutputContextImpl.java:90)
>
>
> at
> org.apache.hadoop.mapreduce.lib.map.WrappedMapper$Context.write(WrappedMapper.java:112)
> at
> org.apache.hadoop.examples.WordCount$TokenizerMapper.map(WordCount.java:47)
>
>
>
> at
> org.apache.hadoop.examples.WordCount$TokenizerMapper.map(WordCount.java:36)
> at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:146)
>
>
>
> at
> org.apache.tez.mapreduce.processor.map.MapProcessor.runNewMapper(MapProcessor.java:237)
> at
> org.apache.tez.mapreduce.processor.map.MapProcessor.run(MapProcessor.java:124)
>
>
>
> at
> org.apache.tez.runtime.LogicalIOProcessorRuntimeTask.run(LogicalIOProcessorRuntimeTask.java:345)
> at
> org.apache.tez.runtime.task.TezTaskRunner$TaskRunnerCallable$1.run(TezTaskRunner.java:179)
>
>
> at
> org.apache.tez.runtime.task.TezTaskRunner$TaskRunnerCallable$1.run(TezTaskRunner.java:171)
> at java.security.AccessController.doPrivileged(Native Method)
>
>
>
> at javax.security.auth.Subject.doAs(Subject.java:415)
> at
> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1657)
>
>
>
> at
> org.apache.tez.runtime.task.TezTaskRunner$TaskRunnerCallable.callInternal(TezTaskRunner.java:171)
> at
> org.apache.tez.runtime.task.TezTaskRunner$TaskRunnerCallable.callInternal(TezTaskRunner.java:167)
>
>
> at org.apache.tez.common.CallableWithNdc.call(CallableWithNdc.java:36)
> at java.util.concurrent.FutureTask.run(FutureTask.java:262)
>
>
>
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
>
>
>
> at java.lang.Thread.run(Thread.java:745)
> ]], Vertex did not succeed due to OWN_TASK_FAILURE, failedTasks:1
> killedTasks:89, Vertex vertex_1435943097882_0019_1_00 [initialmap]
> killed/failed due to:null]. Vertex killed, vertexName=finalreduce,
> vertexId=vertex_1435943097882_0019_1_01, diagnostics=[Vertex received Kill
> while in RUNNING state., Vertex did not succeed due to OTHER_VERTEX_FAILURE,
> failedTasks:0 killedTasks:15, Vertex vertex_1435943097882_0019_1_01
> [finalreduce] killed/failed due to:null]. DAG did not succeed due to
> VERTEX_FAILURE. failedVertices:1 killedVertices:1
>
>
>
> 15/07/07 13:24:59 INFO mapreduce.Job: Counters: 0
> {quote}
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