12

嘿，我对大数据世界还很陌生。我在 http://musicmachinery.com/2011/09/04/how-to-process-a-million-songs-in-20-minutes/上看到了这个教程

它详细描述了如何在本地和 Elastic Map Reduce 上使用 mrjob 运行 MapReduce 作业。

好吧，我正在尝试在我自己的 Hadoop 集群上运行它。我使用以下命令运行了这项工作。

python density.py tiny.dat -r hadoop --hadoop-bin /usr/bin/hadoop > outputmusic

这就是我得到的：

HADOOP: Running job: job_1369345811890_0245
HADOOP: Job job_1369345811890_0245 running in uber mode : false
HADOOP:  map 0% reduce 0%
HADOOP: Task Id : attempt_1369345811890_0245_m_000000_0, Status : FAILED
HADOOP: Error: java.lang.RuntimeException: PipeMapRed.waitOutputThreads(): subprocess failed with code 1
HADOOP:         at org.apache.hadoop.streaming.PipeMapRed.waitOutputThreads(PipeMapRed.java:320)
HADOOP:         at org.apache.hadoop.streaming.PipeMapRed.mapRedFinished(PipeMapRed.java:533)
HADOOP:         at org.apache.hadoop.streaming.PipeMapper.close(PipeMapper.java:130)
HADOOP:         at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:61)
HADOOP:         at org.apache.hadoop.streaming.PipeMapRunner.run(PipeMapRunner.java:34)
HADOOP:         at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:428)
HADOOP:         at org.apache.hadoop.mapred.MapTask.run(MapTask.java:340)
HADOOP:         at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:157)
HADOOP:         at java.security.AccessController.doPrivileged(Native Method)
HADOOP:         at javax.security.auth.Subject.doAs(Subject.java:415)
HADOOP:         at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1408)
HADOOP:         at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:152)
HADOOP:
HADOOP: Task Id : attempt_1369345811890_0245_m_000001_0, Status : FAILED
HADOOP: Error: java.lang.RuntimeException: PipeMapRed.waitOutputThreads(): subprocess failed with code 1
HADOOP:         at org.apache.hadoop.streaming.PipeMapRed.waitOutputThreads(PipeMapRed.java:320)
HADOOP:         at org.apache.hadoop.streaming.PipeMapRed.mapRedFinished(PipeMapRed.java:533)
HADOOP:         at org.apache.hadoop.streaming.PipeMapper.close(PipeMapper.java:130)
HADOOP:         at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:61)
HADOOP:         at org.apache.hadoop.streaming.PipeMapRunner.run(PipeMapRunner.java:34)
HADOOP:         at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:428)
HADOOP:         at org.apache.hadoop.mapred.MapTask.run(MapTask.java:340)
HADOOP:         at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:157)
HADOOP:         at java.security.AccessController.doPrivileged(Native Method)
HADOOP:         at javax.security.auth.Subject.doAs(Subject.java:415)
HADOOP:         at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1408)
HADOOP:         at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:152)
HADOOP:
HADOOP: Task Id : attempt_1369345811890_0245_m_000000_1, Status : FAILED
HADOOP: Error: java.lang.RuntimeException: PipeMapRed.waitOutputThreads(): subprocess failed with code 1
HADOOP:         at org.apache.hadoop.streaming.PipeMapRed.waitOutputThreads(PipeMapRed.java:320)
HADOOP:         at org.apache.hadoop.streaming.PipeMapRed.mapRedFinished(PipeMapRed.java:533)
HADOOP:         at org.apache.hadoop.streaming.PipeMapper.close(PipeMapper.java:130)
HADOOP:         at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:61)
HADOOP:         at org.apache.hadoop.streaming.PipeMapRunner.run(PipeMapRunner.java:34)
HADOOP:         at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:428)
HADOOP:         at org.apache.hadoop.mapred.MapTask.run(MapTask.java:340)
HADOOP:         at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:157)
HADOOP:         at java.security.AccessController.doPrivileged(Native Method)
HADOOP:         at javax.security.auth.Subject.doAs(Subject.java:415)
HADOOP:         at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1408)
HADOOP:         at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:152)
HADOOP:
HADOOP: Container killed by the ApplicationMaster.
HADOOP:
HADOOP:
HADOOP: Task Id : attempt_1369345811890_0245_m_000001_1, Status : FAILED
HADOOP: Error: java.lang.RuntimeException: PipeMapRed.waitOutputThreads(): subprocess failed with code 1
HADOOP:         at org.apache.hadoop.streaming.PipeMapRed.waitOutputThreads(PipeMapRed.java:320)
HADOOP:         at org.apache.hadoop.streaming.PipeMapRed.mapRedFinished(PipeMapRed.java:533)
HADOOP:         at org.apache.hadoop.streaming.PipeMapper.close(PipeMapper.java:130)
HADOOP:         at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:61)
HADOOP:         at org.apache.hadoop.streaming.PipeMapRunner.run(PipeMapRunner.java:34)
HADOOP:         at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:428)
HADOOP:         at org.apache.hadoop.mapred.MapTask.run(MapTask.java:340)
HADOOP:         at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:157)
HADOOP:         at java.security.AccessController.doPrivileged(Native Method)
HADOOP:         at javax.security.auth.Subject.doAs(Subject.java:415)
HADOOP:         at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1408)
HADOOP:         at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:152)
HADOOP:
HADOOP: Task Id : attempt_1369345811890_0245_m_000000_2, Status : FAILED
HADOOP: Error: java.lang.RuntimeException: PipeMapRed.waitOutputThreads(): subprocess failed with code 1
HADOOP:         at org.apache.hadoop.streaming.PipeMapRed.waitOutputThreads(PipeMapRed.java:320)
HADOOP:         at org.apache.hadoop.streaming.PipeMapRed.mapRedFinished(PipeMapRed.java:533)
HADOOP:         at org.apache.hadoop.streaming.PipeMapper.close(PipeMapper.java:130)
HADOOP:         at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:61)
HADOOP:         at org.apache.hadoop.streaming.PipeMapRunner.run(PipeMapRunner.java:34)
HADOOP:         at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:428)
HADOOP:         at org.apache.hadoop.mapred.MapTask.run(MapTask.java:340)
HADOOP:         at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:157)
HADOOP:         at java.security.AccessController.doPrivileged(Native Method)
HADOOP:         at javax.security.auth.Subject.doAs(Subject.java:415)
HADOOP:         at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1408)
HADOOP:         at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:152)
HADOOP:
HADOOP: Task Id : attempt_1369345811890_0245_m_000001_2, Status : FAILED
HADOOP: Error: java.lang.RuntimeException: PipeMapRed.waitOutputThreads(): subprocess failed with code 1
HADOOP:         at org.apache.hadoop.streaming.PipeMapRed.waitOutputThreads(PipeMapRed.java:320)
HADOOP:         at org.apache.hadoop.streaming.PipeMapRed.mapRedFinished(PipeMapRed.java:533)
HADOOP:         at org.apache.hadoop.streaming.PipeMapper.close(PipeMapper.java:130)
HADOOP:         at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:61)
HADOOP:         at org.apache.hadoop.streaming.PipeMapRunner.run(PipeMapRunner.java:34)
HADOOP:         at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:428)
HADOOP:         at org.apache.hadoop.mapred.MapTask.run(MapTask.java:340)
HADOOP:         at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:157)
HADOOP:         at java.security.AccessController.doPrivileged(Native Method)
HADOOP:         at javax.security.auth.Subject.doAs(Subject.java:415)
HADOOP:         at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1408)
HADOOP:         at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:152)
HADOOP:
HADOOP:  map 100% reduce 0%
HADOOP: Job job_1369345811890_0245 failed with state FAILED due to: Task failed task_1369345811890_0245_m_000001
HADOOP: Job failed as tasks failed. failedMaps:1 failedReduces:0
HADOOP:
HADOOP: Counters: 6
HADOOP:         Job Counters
HADOOP:                 Failed map tasks=7
HADOOP:                 Launched map tasks=8
HADOOP:                 Other local map tasks=6
HADOOP:                 Data-local map tasks=2
HADOOP:                 Total time spent by all maps in occupied slots (ms)=32379
HADOOP:                 Total time spent by all reduces in occupied slots (ms)=0
HADOOP: Job not Successful!
HADOOP: Streaming Command Failed!
STDOUT: packageJobJar: [] [/usr/lib/hadoop-mapreduce/hadoop-streaming-2.0.0-cdh4.2.1.jar] /tmp/streamjob3272348678857116023.jar tmpDir=null
Traceback (most recent call last):
  File "density.py", line 34, in <module>
    MRDensity.run()
  File "/usr/lib/python2.6/site-packages/mrjob-0.2.4-py2.6.egg/mrjob/job.py", line 344, in run
    mr_job.run_job()
  File "/usr/lib/python2.6/site-packages/mrjob-0.2.4-py2.6.egg/mrjob/job.py", line 381, in run_job
    runner.run()
  File "/usr/lib/python2.6/site-packages/mrjob-0.2.4-py2.6.egg/mrjob/runner.py", line 316, in run
    self._run()
  File "/usr/lib/python2.6/site-packages/mrjob-0.2.4-py2.6.egg/mrjob/hadoop.py", line 175, in _run
    self._run_job_in_hadoop()
  File "/usr/lib/python2.6/site-packages/mrjob-0.2.4-py2.6.egg/mrjob/hadoop.py", line 325, in _run_job_in_hadoop
    raise CalledProcessError(step_proc.returncode, streaming_args)
subprocess.CalledProcessError: Command '['/usr/bin/hadoop', 'jar', '/usr/lib/hadoop-0.20-mapreduce/contrib/streaming/hadoop-streaming-2.0.0-mr1-cdh4.2.1.jar', '-cmdenv', 'PYTHONPATH=mrjob.tar.gz', '-input', 'hdfs:///user/E824259/tmp/mrjob/density.E824259.20130611.053850.343441/input', '-output', 'hdfs:///user/E824259/tmp/mrjob/density.E824259.20130611.053850.343441/output', '-cacheFile', 'hdfs:///user/E824259/tmp/mrjob/density.E824259.20130611.053850.343441/files/density.py#density.py', '-cacheArchive', 'hdfs:///user/E824259/tmp/mrjob/density.E824259.20130611.053850.343441/files/mrjob.tar.gz#mrjob.tar.gz', '-mapper', 'python density.py --step-num=0 --mapper --protocol json --output-protocol json --input-protocol raw_value', '-jobconf', 'mapred.reduce.tasks=0']' returned non-zero exit status 1

注意：正如我在其他一些论坛中所建议的那样

#! /usr/bin/python

在我的 python 文件 density.py 和 track.py 的开头。它似乎对大多数人都有效，但我仍然继续得到上述异常。

编辑：我包含了原始 density.py 中使用的函数之一的定义，该函数在 density.py 本身的另一个文件 track.py 中定义。作业成功运行。但是，如果有人知道为什么会这样，那真的很有帮助。

4

4 回答 4

19

错误代码 1 是 Hadoop Streaming 的一般错误。您可以获得此错误代码的主要原因有两个：

  • 您的 Mapper 和 Reducer 脚本不可执行（包括脚本开头的 #!/usr/bin/python）。

  • 你的 Python 程序只是写错了——你可能有语法错误或逻辑错误。

不幸的是，错误代码 1 并没有为您提供任何详细信息来准确了解您的 Python 程序出了什么问题。

我自己被错误代码 1 困住了一段时间，我发现它的方法是简单地将我的 Mapper 脚本作为独立的 python 程序运行：python mapper.py

这样做之后，我得到一个常规的 Python 错误，告诉我我只是给函数提供了错误类型的参数。我修复了我的语法错误，之后一切正常。因此，如果可能的话，我会将您的 Mapper 或 Reducer 脚本作为独立的 Python 程序运行，看看这是否能让您深入了解错误的原因。

于 2014-07-23T14:28:26.680 回答
5

我得到了同样的错误，sub-process failed with code 1

[cloudera@quickstart ~]$ hadoop jar /usr/lib/hadoop-mapreduce/hadoop-streaming.jar -input /user/cloudera/input -output /user/cloudera/output_join -mapper /home/cloudera/join1_mapper.py -reducer /home/cloudera/join1_reducer.py

  1. 这主要是因为 hadoop 无法访问您的输入文件，或者您的输入中可能有超出要求的内容，或者缺少某些内容。因此，对输入目录和其中的文件要非常小心。我想说，只在分配的输入目录中放置完全需要的输入文件，然后删除其余文件。

  2. 还要确保你的 mapper 和 reducer 文件是可执行的。 chmod +x mapper.py和chmod +x reducer.py

  3. 仅使用映射器运行reducer python文件的cat映射器： cat join2_gen*.txt | ./mapper.py | sort 使用reducer： cat join2_gen*.txt | ./mapper.py | sort | ./reducer.py 使用cat运行它们的原因是因为如果您的输入文件有任何错误，您可以在Hadoop集群上运行之前删除它们。有时 map/reduce 作业找不到 python 错误！！

于 2016-11-27T20:39:43.623 回答
1

我在运行时遇到了同样的问题，我的 mapper 和 reducer 脚本不可执行。

#! /usr/bin/python在我的文件顶部添加解决了这个问题。

于 2017-03-13T07:54:37.910 回答
0

另一个原因，例如您在运行mapper.pyand的 shell 脚本中有错误reducer.py。以下是我的建议：

首先，您应该尝试在本地环境中mapper.py运行您。reducer.py

接下来，您可以尝试在标准输出日志中打印的 url 上跟踪您的 mapreduce 作业，如下所示：16:01:56 INFO mapreduce.Job：跟踪作业的 url：http://xxxxxx:8088/proxy/application_xxx/ " 其中有详细的错误信息。希望对您有所帮助！

于 2017-11-21T08:12:26.937 回答