相关疑难解决方法(0)

从本指南中,我已经成功运行了样本练习.但是在运行我的mapreduce作业时,我 从日志文件中收到以下错误错误
ERROR streaming.StreamJob: Job not Successful!
10/12/16 17:13:38 INFO streaming.StreamJob: killJob...
Streaming Job Failed!

java.lang.RuntimeException: PipeMapRed.waitOutputThreads(): subprocess failed with code 2
at org.apache.hadoop.streaming.PipeMapRed.waitOutputThreads(PipeMapRed.java:311)
at org.apache.hadoop.streaming.PipeMapRed.mapRedFinished(PipeMapRed.java:545)
at org.apache.hadoop.streaming.PipeMapper.close(PipeMapper.java:132)
at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:57)
at org.apache.hadoop.streaming.PipeMapRunner.run(PipeMapRunner.java:36)
at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:358)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:307)
at org.apache.hadoop.mapred.Child.main(Child.java:170)

Mapper.py

import sys

i=0

for line in sys.stdin:
    i+=1
    count={}
    for word in line.strip().split():
        count[word]=count.get(word,0)+1
    for word,weight in count.items():
        print '%s\t%s:%s' % (word,str(i),str(weight))

Reducer.py

import sys

keymap={}
o_tweet="2323"
id_list=[]
for line in sys.stdin:
    tweet,tw=line.strip().split()
    #print tweet,o_tweet,tweet_id,id_list
    tweet_id,w=tw.split(':')
    w=int(w)
    if tweet.__eq__(o_tweet): …

我有一个用Python编写的mapreduce工作.该程序在linux env中成功测试,但在Hadoop下运行时失败了.

这是作业命令:

hadoop  jar $HADOOP_HOME/contrib/streaming/hadoop-0.20.1+169.127-streaming.jar \
   -input /data/omni/20110115/exp6-10122 -output /home/yan/visitorpy.out \
   -mapper SessionMap.py   -reducer  SessionRed.py  -file SessionMap.py \
   -file  SessionRed.py

Session*.py的模式是755,#!/usr/bin/env python是*.py文件中的第一行.Mapper.py是:

#!/usr/bin/env python
import sys
 for line in sys.stdin:
         val=line.split("\t")
         (visidH,visidL,sessionID)=(val[4],val[5],val[108])
         print "%s%s\t%s" % (visidH,visidL,sessionID)

日志错误:

java.io.IOException: Broken pipe
    at java.io.FileOutputStream.writeBytes(Native Method)
    at java.io.FileOutputStream.write(FileOutputStream.java:260)
    at java.io.BufferedOutputStream.write(BufferedOutputStream.java:105)
    at java.io.BufferedOutputStream.flushBuffer(BufferedOutputStream.java:65)
    at java.io.BufferedOutputStream.write(BufferedOutputStream.java:109)
    at java.io.DataOutputStream.write(DataOutputStream.java:90)
    at org.apache.hadoop.streaming.io.TextInputWriter.writeUTF8(TextInputWriter.java:72)
    at org.apache.hadoop.streaming.io.TextInputWriter.writeValue(TextInputWriter.java:51)
    at org.apache.hadoop.streaming.PipeMapper.map(PipeMapper.java:110)
    at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:50)
    at org.apache.hadoop.streaming.PipeMapRunner.run(PipeMapRunner.java:36)
    at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:358)
    at org.apache.hadoop.mapred.MapTask.run(MapTask.java:307)
    at org.apache.hadoop.mapred.Child.main(Child.java:170)
    at org.apache.hadoop.streaming.PipeMapper.map(PipeMapper.java:126)
    at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:50)
    at org.apache.hadoop.streaming.PipeMapRunner.run(PipeMapRunner.java:36)
    at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:358) …