Python 使用pymongo操作mongodb库

Python 使用pymongo操作mongodb库

2016-12-31 21:55 1115人阅读 评论(0) 收藏 举报

 分类：

- - - Python（10） 

版权声明：本文为博主原创文章，未经博主允许不得转载。

 

目录(?)[+]

 

1，安装python3.5

如果Python还没有安装，可以直接用yum安装，

1. # 不过安装的是2.6 version
2. yum install -y python

源码安装3.5

1. wget https://www.python.org/ftp/python/3.5.0/Python-3.5.0.tgz
2. tar -xvf Python-3.5.0.tgz
3. cd Python-3.5.0
4. ./configure --prefix=/usr/local--enable-shared
5. make
6. make install
7. ln -s /usr/local/bin/python3 /usr/bin/python3

运行python之前需要配置库

echo /usr/local/lib >> /etc/ld.so.conf.d/local.conf

ldconfig

运行演示

python3 --version

部分执行过程：

1. [root@03_sdwm Python-3.5.0]# echo/usr/local/lib >> /etc/ld.so.conf.d/local.conf
2. [root@03_sdwm Python-3.5.0]# ldconfig
3. [root@03_sdwm Python-3.5.0]#
4. [root@03_sdwm Python-3.5.0]#
5. [root@03_sdwm Python-3.5.0]# python3--version
6. Python 3.5.0
7. [root@03_sdwm Python-3.5.0]#

2，安装pymongo

安装方法有2种，分别是Installing with pip和Installing with easy_install，这里采用Installing witheasy_install参考官方文章：

http://api.mongodb.com/python/current/installation.html#installing-with-easy-install，

安装python pymongo

1. [root@03_sdwm ~]# python3 -m easy_install pymongo
2. Searching for pymongo
3. Reading http://pypi.python.org/simple/pymongo/
4. Best match: pymongo 3.4.0
5. Downloading https://pypi.python.org/packages/82/26/f45f95841de5164c48e2e03aff7f0702e22cef2336238d212d8f93e91ea8/pymongo-3.4.0.tar.gz#md5=aa77f88e51e281c9f328cea701bb6f3e
6. Processing pymongo-3.4.0.tar.gz
7. Running pymongo-3.4.0/setup.py -q bdist_egg --dist-dir /tmp/easy_install-ZZv1Ig/pymongo-3.4.0/egg-dist-tmp-LRDmoy
8. zip_safe flag not set; analyzing archive contents...
9. Adding pymongo 3.4.0 to easy-install.pth file
10. Installed /usr/lib/python2.6/site-packages/pymongo-3.4.0-py2.6-linux-x86_64.egg
11. Processing dependencies for pymongo
12. Finished processing dependencies for pymongo
13. [root@03_sdwm ~]#

3，使用pymongo操作mongodb

进行一些简单的对mongodb库的操作

1. #!/usr/bin/env python
2. # -*- coding: utf-8 -*-
3. import pymongo
4. import datetime
5. def get_db():
6. # 建立连接
7. client = pymongo.MongoClient(host="10.244.25.180", port=27017)
8. db = client['example']
9. #或者 db = client.example
10. return db
11. def get_collection(db):
12. # 选择集合（mongo中collection和database都是延时创建的）
13. coll = db['informations']
14. print db.collection_names()
15. return coll
16. def insert_one_doc(db):
17. # 插入一个document
18. coll = db['informations']
19. information = {"name": "quyang", "age": "25"}
20. information_id = coll.insert(information)
21. print information_id
22. def insert_multi_docs(db):
23. # 批量插入documents,插入一个数组
24. coll = db['informations']
25. information = [{"name": "xiaoming", "age": "25"}, {"name": "xiaoqiang", "age": "24"}]
26. information_id = coll.insert(information)
27. print information_id
28. def get_one_doc(db):
29. # 有就返回一个，没有就返回None
30. coll = db['informations']
31. print coll.find_one()  # 返回第一条记录
32. print coll.find_one({"name": "quyang"})
33. print coll.find_one({"name": "none"})
34. def get_one_by_id(db):
35. # 通过objectid来查找一个doc
36. coll = db['informations']
37. obj = coll.find_one()
38. obj_id = obj["_id"]
39. print "_id 为ObjectId类型，obj_id:" + str(obj_id)
40. print coll.find_one({"_id": obj_id})
41. # 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
42. print "_id 为str类型 "
43. print coll.find_one({"_id": str(obj_id)})
44. # 可以通过ObjectId方法把str转成ObjectId类型
45. from bson.objectid import ObjectId
46. print "_id 转换成ObjectId类型"
47. print coll.find_one({"_id": ObjectId(str(obj_id))})
48. def get_many_docs(db):
49. # 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
50. coll = db['informations']
51. #ASCENDING = 1 升序;DESCENDING = -1降序;default is ASCENDING
52. for item in coll.find().sort("age", pymongo.DESCENDING):
53. print item
54. count = coll.count()
55. print "集合中所有数据 %s个" % int(count)
56. #条件查询
57. count = coll.find({"name":"quyang"}).count()
58. print "quyang: %s"%count
59. def clear_all_datas(db):
60. #清空一个集合中的所有数据
61. db["informations"].remove()
62. if __name__ == '__main__':
63. db = get_db()
64. my_collection = get_collection(db)
65. post = {"author": "Mike", "text": "My first blog post!", "tags": ["mongodb", "python", "pymongo"],
66. "date": datetime.datetime.utcnow()}
67. # 插入记录
68. my_collection.insert(post)
69. insert_one_doc(db)
70. # 条件查询
71. print my_collection.find_one({"x": "10"})
72. # 查询表中所有的数据
73. for iii in my_collection.find():
74. print iii
75. print my_collection.count()
76. my_collection.update({"author": "Mike"},
77. {"author": "quyang", "text": "My first blog post!", "tags": ["mongodb", "python", "pymongo"],
78. "date": datetime.datetime.utcnow()})
79. for jjj in my_collection.find():
80. print jjj
81. get_one_doc(db)
82. get_one_by_id(db)
83. get_many_docs(db)
84. # clear_all_datas(db)

1. mysql> show profile for query 4;
2. +--------------------+----------+
3. | Status             | Duration |
4. +--------------------+----------+
5. | executing          | 0.000017 |
6. | Sending data       | 0.018048 |
7. | executing          | 0.000028 |
8. | Sending data       | 0.018125 |
9. | executing          | 0.000022 |
10. | Sending data       | 0.015749 |
11. | executing          | 0.000017 |
12. | Sending data       | 0.015633 |
13. | executing          | 0.000017 |
14. | Sending data       | 0.015382 |
15. | executing          | 0.000015 |
16. | Sending data       | 0.015707 |
17. | executing          | 0.000023 |
18. | Sending data       | 0.015890 |
19. | executing          | 0.000022 |
20. | Sending data       | 0.015908 |
21. | executing          | 0.000017 |
22. | Sending data       | 0.015761 |
23. | executing          | 0.000022 |
24. | Sending data       | 0.015542 |
25. | executing          | 0.000014 |
26. | Sending data       | 0.015561 |
27. | executing          | 0.000016 |
28. | Sending data       | 0.015546 |
29. | executing          | 0.000037 |
30. | Sending data       | 0.015555 |
31. | executing          | 0.000015 |
32. | Sending data       | 0.015779 |
33. | executing          | 0.000026 |
34. | Sending data       | 0.015815 |
35. | executing          | 0.000015 |
36. | Sending data       | 0.015468 |
37. | executing          | 0.000015 |
38. | Sending data       | 0.015457 |
39. | executing          | 0.000015 |
40. | Sending data       | 0.015457 |
41. | executing          | 0.000014 |
42. | Sending data       | 0.015500 |
43. | executing          | 0.000014 |
44. | Sending data       | 0.015557 |
45. | executing          | 0.000015 |
46. | Sending data       | 0.015537 |
47. | executing          | 0.000014 |
48. | Sending data       | 0.015395 |
49. | executing          | 0.000021 |
50. | Sending data       | 0.015416 |
51. | executing          | 0.000014 |
52. | Sending data       | 0.015416 |
53. | executing          | 0.000014 |
54. | Sending data       | 0.015399 |
55. | executing          | 0.000023 |
56. | Sending data       | 0.015407 |
57. | executing          | 0.000014 |
58. | Sending data       | 0.015585 |
59. | executing          | 0.000014 |
60. | Sending data       | 0.015385 |
61. | executing          | 0.000014 |
62. | Sending data       | 0.015412 |
63. | executing          | 0.000014 |
64. | Sending data       | 0.015408 |
65. | executing          | 0.000014 |
66. | Sending data       | 0.015753 |
67. | executing          | 0.000014 |
68. | Sending data       | 0.015376 |
69. | executing          | 0.000014 |
70. | Sending data       | 0.015416 |
71. | executing          | 0.000019 |
72. | Sending data       | 0.015368 |
73. | executing          | 0.000014 |
74. | Sending data       | 0.015481 |
75. | executing          | 0.000015 |
76. | Sending data       | 0.015619 |
77. | executing          | 0.000015 |
78. | Sending data       | 0.015662 |
79. | executing          | 0.000016 |
80. | Sending data       | 0.015574 |
81. | executing          | 0.000015 |
82. | Sending data       | 0.015566 |
83. | executing          | 0.000015 |
84. | Sending data       | 0.015488 |
85. | executing          | 0.000013 |
86. | Sending data       | 0.015493 |
87. | executing          | 0.000015 |
88. | Sending data       | 0.015386 |
89. | executing          | 0.000015 |
90. | Sending data       | 0.015485 |
91. | executing          | 0.000018 |
92. | Sending data       | 0.015760 |
93. | executing          | 0.000014 |
94. | Sending data       | 0.015386 |
95. | executing          | 0.000015 |
96. | Sending data       | 0.015418 |
97. | executing          | 0.000014 |
98. | Sending data       | 0.015458 |
99. | end                | 0.000016 |
100. | query end          | 0.000019 |
101. | closing tables     | 0.000018 |
102. | freeing items      | 0.000825 |
103. | logging slow query | 0.000067 |
104. | cleaning up        | 0.000025 |
105. +--------------------+----------+
106. 100 rows in set, 1 warning (0.00 sec)
107. mysql>