python之PyMongo使用总结

import pymongo 
client = pymongo.MongoClient('localhost', 27017) 

import pymongo 
client = MongoClient('mongodb://localhost:27017/') 

db = client.mydb 
#或者
db = client['mydb'] 

collection = db.my_collection 
#或者
collection = db['my_collection'] 

db.collection_names() 

collection.insert({"key1":"value1","key2","value2"}) 

collection.remove() 

collection.remove({"key1":"value1"}) 

collection.find_one() 
collection.find_one({"key1":"value1"}) 

collection.find() 
collection.find({"key1":"value1"}) 

for item in collection.find():   
  print item 

print collection.find().count() 

collection.find().sort("key1") # 默认为升序 
collection.find().sort("key1", pymongo.ASCENDING) # 升序 
collection.find().sort("key1", pymongo.DESCENDING) # 降序 

#!/usr/bin/env python
#coding:utf-8
# Author:  --<qingfengkuyu>
# Purpose: MongoDB的使用
# Created: 2014/4/14
#32位的版本最多只能存储2.5GB的数据（NoSQLFan：最大文件尺寸为2G，生产环境推荐64位）
 
import pymongo
import datetime
import random
 
#创建连接
conn = pymongo.Connection('10.11.1.70',27017)
#连接数据库
db = conn.study
#db = conn['study']
 
#打印所有聚集名称，连接聚集
print u'所有聚集:',db.collection_names()
posts = db.post
#posts = db['post']
print posts
 
#插入记录
new_post = {"AccountID":22,"UserName":"libing",'date':datetime.datetime.now()}
new_posts = [{"AccountID":22,"UserName":"liuw",'date':datetime.datetime.now()},
       {"AccountID":23,"UserName":"urling",'date':datetime.datetime.now()}]#每条记录插入时间都不一样
 
posts.insert(new_post)
#posts.insert(new_posts)#批量插入多条数据
 
#删除记录
print u'删除指定记录:\n',posts.find_one({"AccountID":22,"UserName":"libing"})
posts.remove({"AccountID":22,"UserName":"libing"})
 
#修改聚集内的记录
posts.update({"UserName":"urling"},{"$set":{'AccountID':random.randint(20,50)}})
 
#查询记录，统计记录数量
print u'记录总计为：',posts.count(),posts.find().count()
print u'查询单条记录:\n',posts.find_one()
print posts.find_one({"UserName":"liuw"})
 
#查询所有记录
print u'查询多条记录:'
#for item in posts.find():#查询全部记录
#for item in posts.find({"UserName":"urling"}):#查询指定记录
#for item in posts.find().sort("UserName"):#查询结果根据UserName排序，默认为升序
#for item in posts.find().sort("UserName",pymongo.ASCENDING):#查询结果根据UserName排序，ASCENDING为升序,DESCENDING为降序
for item in posts.find().sort([("UserName",pymongo.ASCENDING),('date',pymongo.DESCENDING)]):#查询结果根据多列排序
  print item
 
#查看查询语句的性能
#posts.create_index([("UserName", pymongo.ASCENDING), ("date", pymongo.DESCENDING)])#加索引
print posts.find().sort([("UserName",pymongo.ASCENDING),('date',pymongo.DESCENDING)]).explain()["cursor"]#未加索引用BasicCursor查询记录
print posts.find().sort([("UserName",pymongo.ASCENDING),('date',pymongo.DESCENDING)]).explain()["nscanned"]#查询语句执行时查询的记录数