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
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