如何在不使用map reduce的情况下使用Python编写单词计数程序

Question

实际上，我对hadoop以及python都是新手....所以我的疑问是如何在hadoop中运行python脚本.....而且我也正在使用python编写wordcount程序。使用地图缩小...。实际上，我编写了代码，我可以看到以下输出：黑暗1天堂2它3亮4年龄5年龄6所有7所有8权威9前10前11是12信念13最好14比较15学位16绝望17直接18直接19

It is counting number of words in a list..but whati have to achieve is grouping and deleting the duplicates and also count number of times of its occurrences  ..... 

Below is my code . can somebody please tell me where i have done the mistake

********************************************************
   Wordcount.py
********************************************************

import urllib2
import random
from operator import itemgetter

current_word = {}
current_count = 0
story = 'http://sixty-north.com/c/t.txt'
request = urllib2.Request(story)
response = urllib2.urlopen(request)
each_word = []
words = None
count = 1
same_words ={}
word = []
""" looping the entire file """
for line in response:
    line_words = line.split()
    for word in line_words:  # looping each line and extracting words
        each_word.append(word)
        random.shuffle(each_word)
        Sort_word = sorted(each_word)
for words in Sort_word:
    same_words = words.lower(),int(count)
    #print same_words
    #print words
    if not words in current_word :
        current_count = current_count +1
        print '%s\t%s' % (words, current_count)
    else:
        current_count = 1
        #if Sort_word == words.lower():
            #current_count += count
current_count = count
current_word = word
        #print '2. %s\t%s' % (words, current_count)

Answer 1

对于运行基于python的MR任务，请查看：

http://hadoop.apache.org/docs/r1.1.2/streaming.html http://www.michael-noll.com/tutorials/writing-an-hadoop-mapreduce-program-in-python/

您需要根据Mapper-Reducer设计代码，以使Hadoop执行您的Python脚本。 在跳入编写代码之前，请先阅读Map-Reduce编程范例。 了解MR编程范例以及{Key，value}对在解决问题中的作用非常重要。

#Modified your above code to generate the required output
import urllib2
import random
from operator import itemgetter

current_word = {}
current_count = 0
story = 'http://sixty-north.com/c/t.txt'
request = urllib2.Request(story)
response = urllib2.urlopen(request)
each_word = []
words = None
count = 1
same_words ={}
word = []
""" looping the entire file """
#Collect All the words into a list
for line in response:
    #print "Line = " , line
    line_words = line.split()
    for word in line_words:  # looping each line and extracting words
        each_word.append(word)

#for every word collected, in dict same_words
#if a key exists, such that key == word then increment Mapping Value by 1
# Else add word as new key with mapped value as 1
for words in each_word:
    if words.lower() not in same_words.keys() :
        same_words[words.lower()]=1
    else:
        same_words[words.lower()]=same_words[words.lower()]+1

for each in same_words.keys():
    print "word = ",each, ", count = ",same_words[each]