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mrjob: PipeMapRed.waitOutputThreads(): subprocess failed with code 2


Running a job using hadoop streaming and mrjob: PipeMapRed.waitOutputThreads(): subprocess failed with code 1How to resolve java.lang.RuntimeException: PipeMapRed.waitOutputThreads(): subprocess failed with code 2?Hadoop-streaming : PYTHONPATH not working when mapper runsHow to resolve java.lang.RuntimeException: PipeMapRed.waitOutputThreads(): subprocess failed with code 2?passing arguments to record reader in mapreduce hadoopoozie error while launching pig jobSplit class org.apache.hadoop.hive.ql.io.orc.OrcSplit not foundhadoop exception type mismatch in wordcount programMy Inputformat on hive cannot find when calling MapReduceWhile running jobs on hadoop,got the following errorFailed to include a python package (nltk) with Hadoop streaming jobRunning a hadoop streaming and mapreduce job: PipeMapRed.waitOutputThreads() : subprocess failed with code 127













0















I follow the tutorial to test the wordcount. It is OK to run it directly by python mr_word_count.py my_file.txt. By when I tried to run it in hdfs python my_job.py -r hadoop hdfs://my_home/input.txt, it shows the errors below. I already tried the solution like this and this, and some others. But the problem is still there. I run this on AWS EMR cluster.



Task Id : attempt_1552008616549_0861_m_000001_0, Status : FAILED
Error: java.lang.RuntimeException: PipeMapRed.waitOutputThreads(): subprocess failed with code 2
at org.apache.hadoop.streaming.PipeMapRed.waitOutputThreads(PipeMapRed.java:325)
at org.apache.hadoop.streaming.PipeMapRed.mapRedFinished(PipeMapRed.java:538)
at org.apache.hadoop.streaming.PipeMapper.close(PipeMapper.java:130)
at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:61)
at org.apache.hadoop.streaming.PipeMapRunner.run(PipeMapRunner.java:34)
at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:455)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:344)
at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:175)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1844)
at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:169)









share|improve this question


























    0















    I follow the tutorial to test the wordcount. It is OK to run it directly by python mr_word_count.py my_file.txt. By when I tried to run it in hdfs python my_job.py -r hadoop hdfs://my_home/input.txt, it shows the errors below. I already tried the solution like this and this, and some others. But the problem is still there. I run this on AWS EMR cluster.



    Task Id : attempt_1552008616549_0861_m_000001_0, Status : FAILED
    Error: java.lang.RuntimeException: PipeMapRed.waitOutputThreads(): subprocess failed with code 2
    at org.apache.hadoop.streaming.PipeMapRed.waitOutputThreads(PipeMapRed.java:325)
    at org.apache.hadoop.streaming.PipeMapRed.mapRedFinished(PipeMapRed.java:538)
    at org.apache.hadoop.streaming.PipeMapper.close(PipeMapper.java:130)
    at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:61)
    at org.apache.hadoop.streaming.PipeMapRunner.run(PipeMapRunner.java:34)
    at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:455)
    at org.apache.hadoop.mapred.MapTask.run(MapTask.java:344)
    at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:175)
    at java.security.AccessController.doPrivileged(Native Method)
    at javax.security.auth.Subject.doAs(Subject.java:422)
    at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1844)
    at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:169)









    share|improve this question
























      0












      0








      0


      1






      I follow the tutorial to test the wordcount. It is OK to run it directly by python mr_word_count.py my_file.txt. By when I tried to run it in hdfs python my_job.py -r hadoop hdfs://my_home/input.txt, it shows the errors below. I already tried the solution like this and this, and some others. But the problem is still there. I run this on AWS EMR cluster.



      Task Id : attempt_1552008616549_0861_m_000001_0, Status : FAILED
      Error: java.lang.RuntimeException: PipeMapRed.waitOutputThreads(): subprocess failed with code 2
      at org.apache.hadoop.streaming.PipeMapRed.waitOutputThreads(PipeMapRed.java:325)
      at org.apache.hadoop.streaming.PipeMapRed.mapRedFinished(PipeMapRed.java:538)
      at org.apache.hadoop.streaming.PipeMapper.close(PipeMapper.java:130)
      at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:61)
      at org.apache.hadoop.streaming.PipeMapRunner.run(PipeMapRunner.java:34)
      at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:455)
      at org.apache.hadoop.mapred.MapTask.run(MapTask.java:344)
      at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:175)
      at java.security.AccessController.doPrivileged(Native Method)
      at javax.security.auth.Subject.doAs(Subject.java:422)
      at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1844)
      at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:169)









      share|improve this question














      I follow the tutorial to test the wordcount. It is OK to run it directly by python mr_word_count.py my_file.txt. By when I tried to run it in hdfs python my_job.py -r hadoop hdfs://my_home/input.txt, it shows the errors below. I already tried the solution like this and this, and some others. But the problem is still there. I run this on AWS EMR cluster.



      Task Id : attempt_1552008616549_0861_m_000001_0, Status : FAILED
      Error: java.lang.RuntimeException: PipeMapRed.waitOutputThreads(): subprocess failed with code 2
      at org.apache.hadoop.streaming.PipeMapRed.waitOutputThreads(PipeMapRed.java:325)
      at org.apache.hadoop.streaming.PipeMapRed.mapRedFinished(PipeMapRed.java:538)
      at org.apache.hadoop.streaming.PipeMapper.close(PipeMapper.java:130)
      at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:61)
      at org.apache.hadoop.streaming.PipeMapRunner.run(PipeMapRunner.java:34)
      at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:455)
      at org.apache.hadoop.mapred.MapTask.run(MapTask.java:344)
      at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:175)
      at java.security.AccessController.doPrivileged(Native Method)
      at javax.security.auth.Subject.doAs(Subject.java:422)
      at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1844)
      at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:169)






      python hadoop mrjob






      share|improve this question













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      asked Mar 8 at 6:42









      hengyue lihengyue li

      110110




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