理解MapReduce

1.

复制代码
#!/usr/bin/env python
import sys
for line in sys.stdin:
     line=line.strip()
     words=line.split()
     for word in words:
          print '%s\t%s' % (word,1)
复制代码
复制代码
#!/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 '%s\t%s' % (current_word,current_count)
          current_count=count
          current_word=word
if current_word==word:
     print '%s\t%s' % (current_word,current_count)
复制代码

2.将其权限作出相应修改

chmod a+x /home/hadoop/wc/mapper.py
chmod a+x /home/hadoop/wc/reducer.py

3.本机上测试运行代码

4.放到HDFS上运行

         a.将之前爬取的文本文件上传到hdfs上

         b.用Hadoop Streaming命令提交任务

E.查看运行结果

posted @ 2018-05-10 12:17  201306114455邱雨欣  阅读(177)  评论(0)    收藏  举报