理解MapReduce
Posted 370蔡轩
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1.用Python编写WordCount程序并提交任务
程序 |
WordCount |
输入 |
一个包含大量单词的文本文件 |
输出 |
文件中每个单词及其出现次数(频数),并按照单词字母顺序排序,每个单词和其频数占一行,单词和频数之间有间隔 |
import sys for i in stdin: i = i.strip() words = i.split() for word in words: print ‘%s\t%s‘ % (word,1)
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 word == current_word: print "%s\t%s" % (current_word, current_count)
chmod a+x /home/hadoop/wc/mapper.py
chmod a+x /home/hadoop/wc/reducer.py
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