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Hitesh Shah commented on TEZ-2602: ---------------------------------- bq. This is specific to 0.8 codebase and does not need a backport to 0.7. [~rajesh.balamohan] the earlier comment seem to indicate that this is not needed in branch 0.7 but there is a later comment which indicates that it was also committed to branch 0.7. Could you please clarify the issue? > 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-alpha > Reporter: Tsuyoshi Ozawa > Assignee: Rajesh Balamohan > Fix For: 0.8.0-alpha, 0.7.1 > > Attachments: TEZ-2602.1.patch, TEZ-2602.WIP.1.patch > > > {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} -- This message was sent by Atlassian JIRA (v6.3.4#6332)