Python讀寫Redis資料庫

標籤：

import redisclass Database:      def __init__(self):          self.host = ‘localhost‘          self.port = 6379      def write(self,website,city,year,month,day,deal_number):          try:              key = ‘_‘.join([website,city,str(year),str(month),str(day)])              val = deal_number              r = redis.StrictRedis(host=self.host,port=self.port)              r.set(key,val)          except Exception, exception:              print exception      def read(self,website,city,year,month,day):          try:              key = ‘_‘.join([website,city,str(year),str(month),str(day)])              r = redis.StrictRedis(host=self.host,port=self.port)              value = r.get(key)              print value              return value          except Exception, exception:              print exception  if __name__ == ‘__main__‘:      db = Database()      db.write(‘meituan‘,‘beijing‘,2013,9,1,8000)      db.read(‘meituan‘,‘beijing‘,2013,9,1)  

上面操作是先寫入一條資料，然後再讀取，如果寫入或者讀取資料太多，那麼我們最好用批處理，這樣效率會更高。

import redis import datetime class Database:     def __init__(self):         self.host = ‘localhost‘         self.port = 6379         self.write_pool = {}     def add_write(self,website,city,year,month,day,deal_number):         key = ‘_‘.join([website,city,str(year),str(month),str(day)])         val = deal_number         self.write_pool[key] = val     def batch_write(self):         try:             r = redis.StrictRedis(host=self.host,port=self.port)             r.mset(self.write_pool)         except Exception, exception:             print exception  def add_data():     beg = datetime.datetime.now()     db = Database()     for i in range(1,10000):         db.add_write(‘meituan‘,‘beijing‘,2013,i,1,i)     db.batch_write()     end = datetime.datetime.now()     print end-beg if __name__ == ‘__main__‘:     add_data()  

參考文章:　　http://www.jb51.net/article/48212.htm

 

Python讀寫Redis資料庫