使用PyMongo

安装PyMongo

安装命令pip install pymongo

PyMongo简单使用

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
#!/usr/bin/env python
# -*- coding: utf-8 -*-

import pymongo
import datetime


def get_db():
# 建立连接
client = pymongo.MongoClient(host="10.244.25.180", port=27017)
db = client['example']
#或者 db = client.example
return db


def get_collection(db):
# 选择集合(mongo中collection和database都是延时创建的)
coll = db['informations']
print db.collection_names()
return coll


def insert_one_doc(db):
# 插入一个document
coll = db['informations']
information = {"name": "quyang", "age": "25"}
information_id = coll.insert(information)
print information_id


def insert_multi_docs(db):
# 批量插入documents,插入一个数组
coll = db['informations']
information = [{"name": "xiaoming", "age": "25"}, {"name": "xiaoqiang", "age": "24"}]
information_id = coll.insert(information)
print information_id


def get_one_doc(db):
# 有就返回一个,没有就返回None
coll = db['informations']
print coll.find_one() # 返回第一条记录
print coll.find_one({"name": "quyang"})
print coll.find_one({"name": "none"})


def get_one_by_id(db):
# 通过objectid来查找一个doc
coll = db['informations']
obj = coll.find_one()
obj_id = obj["_id"]
print "_id 为ObjectId类型,obj_id:" + str(obj_id)

print coll.find_one({"_id": obj_id})
# 需要注意这里的obj_id是一个对象,不是一个str,使用str类型作为_id的值无法找到记录
print "_id 为str类型 "
print coll.find_one({"_id": str(obj_id)})
# 可以通过ObjectId方法把str转成ObjectId类型
from bson.objectid import ObjectId

print "_id 转换成ObjectId类型"
print coll.find_one({"_id": ObjectId(str(obj_id))})


def get_many_docs(db):
# mongo中提供了过滤查找的方法,可以通过各种条件筛选来获取数据集,还可以对数据进行计数,排序等处理
coll = db['informations']
#ASCENDING = 1 升序;DESCENDING = -1降序;default is ASCENDING
for item in coll.find().sort("age", pymongo.DESCENDING):
print item

count = coll.count()
print "集合中所有数据 %s个" % int(count)

#条件查询
count = coll.find({"name":"quyang"}).count()
print "quyang: %s"%count

def clear_all_datas(db):
#清空一个集合中的所有数据
db["informations"].remove()

if __name__ == '__main__':
db = get_db()
my_collection = get_collection(db)
post = {"author": "Mike", "text": "My first blog post!", "tags": ["mongodb", "python", "pymongo"],
"date": datetime.datetime.utcnow()}
# 插入记录
my_collection.insert(post)
insert_one_doc(db)
# 条件查询
print my_collection.find_one({"x": "10"})
# 查询表中所有的数据
for iii in my_collection.find():
print iii
print my_collection.count()
my_collection.update({"author": "Mike"},
{"author": "quyang", "text": "My first blog post!", "tags": ["mongodb", "python", "pymongo"],
"date": datetime.datetime.utcnow()})
for jjj in my_collection.find():
print jjj
get_one_doc(db)
get_one_by_id(db)
get_many_docs(db)
# clear_all_datas(db)
请他喝杯咖啡