我正在尝试使用cloudera5.5.0实现一个简单的hadoop map reduce示例map&reduce步骤应该使用python2.6.6实现
问题：
如果脚本是在unix命令行上执行的，那么它们工作得非常好，并产生了预期的输出。
cat join2*.txt |./join3_mapper.py | sort |./join3_reducer.py
但是，将脚本作为hadoop任务执行会非常失败：
hadoop jar/usr/lib/hadoop mapreduce/hadoop-streaming.jar-input/user/cloudera/inputv/join2\u gen*.txt-output/user/cloudera/output\u tv-mapper/home/cloudera/join3\u mapper.py-reducer/home/cloudera/join3\u reducer.py-numreducetasks 1 16/01/06 12:32:32 INFO mapreduce.Job: Task Id : attempt_1452069211060_0026_r_000000_0, Status : FAILED Error: java.lang.RuntimeException: PipeMapRed.waitOutputThreads(): subprocess failed with code 1 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.PipeReducer.close(PipeReducer.java:134) at org.apache.hadoop.io.IOUtils.cleanup(IOUtils.java:244) at org.apache.hadoop.mapred.ReduceTask.runOldReducer(ReduceTask.java:459) at org.apache.hadoop.mapred.ReduceTask.run(ReduceTask.java:392) at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:163) 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:1671) at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:158) Map器可以工作，如果hadoop命令是用-numreducetasks 0执行的，则hadoop作业只执行map步骤，成功结束，并且输出目录包含map步骤的结果文件。
我想那减少步骤一定有问题吧？
stderr logs in hue没有显示任何相关内容：
日志上载时间：星期三1月6日12:33:10-0800 2016日志长度：222 log4j:警告找不到记录器的附加程序（org.apache.hadoop.ipc.server）。log4j:warn请正确初始化log4j系统。log4j：请参阅http://logging.apache.org/log4j/1.2/faq.html#noconfig 更多信息。
脚本代码：第一个文件：join3\u mapper.py

# !/usr/bin/env python

import sys

for line in sys.stdin:
   line       = line.strip()   #strip out carriage return
   tuple2  = line.split(",")   #split line, into key and value, returns a list

   if len(tuple2) == 2:
      key = tuple2[0]
      value = tuple2[1]
      if value == 'ABC':
         print('%s\t%s' % (key, value) )
      elif value.isdigit():
         print('%s\t%s' % (key, value) )

第二个文件：join3\u reducer.py

# !/usr/bin/env python

import sys

last_key      = None              #initialize these variables
running_total = 0
abcFound =False;
this_key      = None

# -----------------------------------

# Loop the file

# --------------------------------

for input_line in sys.stdin:
    input_line = input_line.strip()

    # --------------------------------
    # Get Next Key value pair, splitting at tab
    # --------------------------------
    tuple2 = input_line.split("\t") 

    this_key = tuple2[0]    
    value = tuple2[1]
    if value.isdigit():
        value = int(value) 

    # ---------------------------------
    # Key Check part
    #    if this current key is same 
    #          as the last one Consolidate
    #    otherwise  Emit
    # ---------------------------------
    if last_key == this_key:     
        if value == 'ABC':  # filter for only ABC in TV shows
            abcFound=True;
        else:
            if isinstance(value, (int,long) ): 
                running_total += value   

    else:
        if last_key:         #if this key is different from last key, and the previous 
                             #   (ie last) key is not empy,
                             #   then output 
                             #   the previous <key running-count>
           if abcFound:
              print('%s\t%s' % (last_key, running_total) )
              abcFound=False;

        running_total = value    #reset values
        last_key = this_key

if last_key == this_key:
    print('%s\t%s' % (last_key, running_total) )

我尝试了各种不同的方法将输入文件声明为hadoop命令，没有区别，也没有成功。
我做错什么了？提示，非常感谢您的想法谢谢