Hadoop Streaming__Hadoop_开发人员指南_E-MapReduce-阿里云

#!/usr/bin/env python
from operator import itemgetter
import sys
current_word = None
current_count = 0
word = None
for line in sys.stdin:
    line = line.strip()
    word, count = line.split('t', 1)
    try:
        count = int(count)
    except ValueError:
        continue
    if current_word == word:
        current_count += count
    else:
        if current_word:
            print '%st%s' % (current_word, current_count)
        current_count = count
        current_word = word
if current_word == word:
    print '%st%s' % (current_word, current_count)

假设mapper代码保存在/home/hadoop/mapper.py， reducer代码保存在/home/hadoop/reducer.py ， 输入路径为hdfs文件系统的/tmp/input，输出路径为hdfs文件系统的/tmp/output。则在E-MapReduce集群上提交下面的hadoop命令