[TEZ-2602] Throwing EOFException when launching MR job

• Type: Bug
• Status: Closed
• Priority: Major
• Resolution: Fixed
• Affects Version/s: 0.8.0-alpha
• Fix Version/s: 0.8.0-alpha, 0.7.1
• Target Version/s: 0.7.1
• Hadoop Flags: Reviewed
• Assignee: Rajesh Balamohan
• Reporter: Tsuyoshi Ozawa
• Created: 07/Jul/15 13:44
• Updated: 03/Oct/15 04:28
• Resolved: 23/Jul/15 02:24

Description

$hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.1.jar wordcount -Dmapreduce.framework.name=yarn-tez -Dmapr
ed.reduce.tasks=15 -Dtez.runtime.sort.threads=1 wc10g tezwc10g5
15/07/07 13:24:30 INFO client.RMProxy: Connecting to ResourceManager at /127.0.0.1:8081
15/07/07 13:24:30 INFO client.AHSProxy: Connecting to Application History server at /0.0.0.0:10200
15/07/07 13:24:30 INFO mapreduce.Job: The url to track the job: http://ip-172-31-4-8.ap-northeast-1.compute.internal:8088/proxy/application_1435943097882_0019/
15/07/07 13:24:30 INFO mapreduce.Job: Running job: job_1435943097882_0019
15/07/07 13:24:31 INFO mapreduce.Job: Job job_1435943097882_0019 running in uber mode : false
15/07/07 13:24:31 INFO mapreduce.Job: map 0% reduce 0%
15/07/07 13:24:59 INFO mapreduce.Job: Job job_1435943097882_0019 failed with state FAILED due to: Vertex failed, vertexName=initialmap, vertexId=vertex_1435943097882_0019_1_00, diagnostics=[Task failed, taskId=task_1435943097882_0019_1_00_000005, diagnostics=[TaskAttempt 0 failed, info=[Error: Failure while running task:java.io.EOFException
at java.io.DataInputStream.readFully(DataInputStream.java:197)
at org.apache.hadoop.io.Text.readWithKnownLength(Text.java:319)
at org.apache.hadoop.io.Text.readFields(Text.java:291)
at org.apache.hadoop.io.serializer.WritableSerialization$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