并行算法

[root@bogon ~]# echo "foo foo quux labs foo bar zo zoo hying" | python3 mapper.py | sort -k 1,1 | python3 reducer.py ^C
[root@bogon ~]# cat reducer.py 
#! /usr/bin/python3

from operator import itemgetter
import sys

current_word = None
current_count = 0
word = None

for line in sys.stdin:
    words = line.strip()
    word, count = words.split('\t')
    
    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))

[root@bogon ~]# cat mapper.py 
#! /usr/bin/python3
import sys

for line in sys.stdin:
    line = line.strip()
    words = line.split()
    for word in words:
        print('%s\t%s' %(word,1))

[root@bogon ~]# 

[root@bogon Python-3.7.5]# echo "foo foo quux labs foo bar zo zoo hying" | python3 mapper.py | more
foo 1
foo 1
quux 1
labs 1
foo 1
bar 1
zo 1
zoo 1
hying 1

 

[root@bogon ~]# echo "foo foo quux labs foo bar zo zoo hying" | python3 mapper.py | sort -k 1,1 | python3 reducer.py
bar 1
foo 3
hying 1
labs 1
quux 1
zo 1
zoo 1

标签：count,word,并行算法,py,current,foo,python3
来源： https://www.cnblogs.com/csren12/p/15208538.html