pymongo使用总结

0. 何为pymongo

pymongo是操作MongoDB的python模块

1、安装pymongo

# easy_install pymongo

2、连接mongodb

>>> import pymongo
>>> conn = pymongo.MongoClient(host=host,port=port,tz_aware=False)

3、获取数据库列表

>>> conn.database_names()
[u‘test1‘, u‘test2‘, u‘admin‘, u‘local‘]

4、连接数据库

>>> db = conn.get_database("db_name")

5、权限验证

>>> db.authenticate(‘username‘, ‘password‘)True

6、获取聚集列表 (聚集的概念类似于关系型数据库中的表)

>>> db.collection_names()
[u‘account‘, u‘role‘, u‘item‘, u‘online‘]

7、连接聚集

>>> account = db.get_collection("col_name")

8、查看聚集的一条记录

>>> account.find_one()

9、查看聚集的所有key (类似于关系型数据库中的字段)

>>> account.find_one().keys()

10、查看聚集的所有记录

>>> for i in account.find():
... print i

11、查看记录总数

>>> account.find().count()

12、根据条件查询多条记录

>>> for i in account.find({"name": "xxx"}):
... print i

13、对查询结果进行排序 (默认升序ASCENDING)

>>> account.find().sort("name", pymongo.ASCENDING)
>>> account.find().sort([("name", pymongo.ASCENDING), ("active_time", pymongo.DESCENDING)])

14、新增记录

>>> account.insert({"name": "mike", "active_time": "20130408"})

15、更新记录

>>> account.update({"name": "mike"}, {"$set": {"active_time": "20130408120000"}})
注：如果数据中没有键-值"name": "mike"， 会新增"active_time": "20130408120000"

16、删除记录 (不带条件表示全部删除)

>>> account.remove({"name": "mike"})

17. pycharm模糊不清匹配查询

方法1.
import re
{‘xxx‘:re.compile(‘xxx‘)}
方法2.
{‘xxx‘:{‘$regex‘:‘xxx‘}

18.and or

account.find({ $or: [ { title: {$regex: ‘test‘} }, { intro: {$regex: ‘test‘} } ] })

19. 案例

#! /usr/bin/env python
# --*-- coding:utf-8 --*--

import pymongo
import re

host="**.**.**.**"
port=27017
conn  = pymongo.MongoClient(host=host,port=port,tz_aware=False)

db_name = "test"
log_name = "col"

db_test = conn.get_database(db_name)
col_col = db_test.get_collection(log_name)

#print "db names:", conn.database_names()
#print "col names:", db_test.collection_names()
#print "one_line:", col_col.find_one()

#print "one_line_keys:", col_col.find_one().keys()

#col_col.insert({"message2":"hihihi", "msg":"123"})
#col_col.update({"message":"hello*3"}, {"$set":{"message":"hello*3*9"}})
import  datetime

y,M,d,h,m,s = 2016,2,13,18,30,0
d = datetime.datetime(y,M,d,h,m,s)
delta = datetime.timedelta(hours=8)

d = d-delta

#logs = col_col.find( {"data":{"$gt":d} } )
#logs = col_col.find( {"message":re.compile("hi")} )
logs = col_col.find( {"$and": [{"message":re.compile("hi")}, {"data":{"$gt":d} }]} )

c = logs.count()

for l in logs:
    print l

print "count:", c
print "END!"