最近做的事情是用mrjob写mapreduce程序,从mongo读取数据。我的做法很容易也很好懂,因为mrjob可以支持sys.stdin的读取,所以我考虑用一个python程序读mongo中的数据,然后同时让mrjob脚本接受输入,处理,输出。
具体方式:
readInMongoDB.py:
#coding:UTF-8
'''
Created on 2014年5月28日 @author: hao
'''
import pymongo
pyconn = pymongo.Connection(host,port=27017)
pycursor = pyconn.userid_cid_score.find().batch_size(30)
for i in pycursor:
userId = i['userId']
cid = i['cid']
score = i['score']
# temp = list()
# temp.append(userId)
# temp.append(cid)
# temp.append(score)
print str(userId)+','+str(cid)+','+str(score)
step1.py:
#coding:UTF-8
'''
Created on 2014年5月27日 @author: hao
'''
from mrjob.job import MRJob
# from mrjob import protocol
import pymongo
import logging
import simplejson as sj class step(MRJob):
'''
'''
# logging.c
def parseMatrix(self, _, line):
'''
input one stdin for pymongo onetime search
output contentId, (userId, rating)
'''
line = (str(line))
line=line.split(',')
userId = line[0]
# print userId
cid = line[1]
# print cid
score = float(line[2])
# print score
yield cid, (userId, float(score)) def scoreCombine(self, cid, userRating):
'''
将对同一个内容的(用户,评分)拼到一个list里
'''
userRatings = list()
for i in userRating:
userRatings.append(i)
yield cid, userRatings def userBehavior(self, cid, userRatings):
'''
'''
scoreList = list()
for doc in userRatings:
# 每个combiner结果
for i in doc:
scoreList.append(i)
for user1 in scoreList:
for user2 in scoreList:
if user1[0] == user2[0]:
continue
yield (user1[0], user2[0]), (user1[1], user2[1]) def steps(self):
return [self.mr(mapper = self.parseMatrix,
reducer = self.scoreCombine),
self.mr(reducer = self.userBehavior),] if __name__=='__main__': fp = open('a.txt','w')
fp.write('[')
step.run()
fp.write(']')
fp.close()
然后执行脚本 python readInMongoDB.py | python step1.py >> out.txt
这个方式在本地执行的非常好,没有任何问题(除开mrjob速度的问题,其实在本次应用中影响不大)
原文:http://blog.csdn.net/whzhcahzxh/article/details/29587059