用Python编写WordCount程序任务
|
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 |
create ‘Student‘, ‘ S_No ‘,‘S_Name‘, ‘S_Sex‘,‘S_Age‘ put ‘Student‘,‘s001‘,‘S_No‘,‘2015001‘ put ‘Student‘,‘s001‘,‘S_Name‘,‘Zhangsan‘ put ‘Student‘,‘s001‘,‘S_Sex‘,‘male‘ put ‘Student‘,‘s001‘,‘S_Age‘,‘23‘ put ‘Student‘,‘s002‘,‘S_No‘,‘2015003‘ put ‘Student‘,‘s002‘,‘S_Name‘,‘Mary‘ put ‘Student‘,‘s002‘,‘S_Sex‘,‘female‘ put ‘Student‘,‘s002‘,‘S_Age‘,‘22‘ put ‘Student‘,‘s003‘,‘S_No‘,‘2015003‘ put ‘Student‘,‘s003‘,‘S_Name‘,‘Lisi‘ put ‘Student‘,‘s003‘,‘S_Sex‘,‘male‘ put ‘Student‘,‘s003‘,‘S_Age‘,‘24‘
scan ‘Student‘ alter ‘Student‘,‘NAME‘=>‘course‘ put ‘Student‘,‘3‘,‘course:Math‘,‘85‘ dorp ‘Student‘,‘course‘ count ‘s1‘ truncate ‘s1‘
cd /home/hadoop/wc
sudo gedit mapper.py
# map函数
import sys
for i in stdin:
i = i.strip()
words = i.split()
for word in words:
print ‘%s\t%s‘ % (word,1)
#reduce函数
from operator import itemgetter
import sys
current_word = None
current_count = 0
word = None
for i in stdin:
i = i.strip()
word, count = i.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)
chmod a+x /home/hadoop/mapper.py
echo "foo foo quux labs foo bar quux" | /home/hadoop/wc/mapper.py echo "foo foo quux labs foo bar quux" | /home/hadoop/wc/mapper.py | sort -k1,1 | /home/hadoop/wc/reducer.p
cd /home/hadoop/wc wget http://www.gutenberg.org/files/5000/5000-8.txt wget http://www.gutenberg.org/cache/epub/20417/pg20417.txt cd /usr/hadoop/wc hdfs dfs -put /home/hadoop/hadoop/gutenberg/*.txt /user/hadoop/input
原文:https://www.cnblogs.com/Runka/p/9026668.html