Python uses Pymongo to manipulate the MongoDB library

1, install python3.5

If Python is not installed, you can install it directly with Yum,

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1. # But the 2.6 version is installed
2. Yum install-y python

Source Installation 3.5

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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

You need to configure the library before running Python

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

Ldconfig

Run the Demo

Python3--version

Part of the execution process:

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2. [Email protected]03_SDWM python-3.5. 0]# echo/usr/local/lib >>/etc/ld.so.conf.d/local.conf
4. [Email protected]03_SDWM python-3.5. 0]# ldconfig
6. [Email protected]03_SDWM python-3.5. 0]#
8. [Email protected]03_SDWM python-3.5. 0]#
10. [Email protected]03_SDWM python-3.5. 0]# python3--version
12. Python 3.5. 0
14. [Email protected]03_SDWM python-3.5. 0]#

2, install Pymongo

There are 2 installation methods, namely installing with PIP and installing with Easy_install, which uses installing Witheasy_install reference official article:

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

Install Python Pymongo

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2. [[email protected]03_SDWM ~]# python3-m easy_install Pymongo
4. Searching for Pymongo
6. Reading http://pypi.python.org/simple/pymongo/
8. Best Match:pymongo 3.4. 0
10. Downloading https://pypi.python.org/packages/82/26/ f45f95841de5164c48e2e03aff7f0702e22cef2336238d212d8f93e91ea8/pymongo-3.4. 0.tar.gz#md5 =aa77f88e51e281c9f328cea701bb6f3e
12. Processing pymongo-3.4. 0.tar.gz
14. Running pymongo-3.4. 0/setup.py-q Bdist_egg--dist-dir/tmp/easy_install-zzv1ig/pymongo-3.4. 0/egg-dist-tmp-lrdmoy
16. Zip_safe flag not set; analyzing archive contents ...
18. Adding Pymongo 3.4. 0 to easy-install.pth file
22. Installed/usr/lib/python2. 6/site-packages/pymongo-3.4. 0-py2. 6-linux-x86_64.egg
24. Processing dependencies for Pymongo
26. Finished processing dependencies for Pymongo
28. [[email protected]03_SDWM ~]#

3, use the Pymongo operation MongoDB to do some simple operation to the MongoDB library

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2. #!/usr/bin/env python
4. #-*-Coding:utf-8-*-
8. Import Pymongo
10. Import datetime
16. Def get_db ():
18. # Establish a connection
20. Client = Pymongo. Mongoclient (host="10.244.25.180", port=27017)
22. db = client[' example ')
24. #或者 db = Client.example
26. return DB
32. def get_collection (db):
34. # Select Collection (Mongo in collection and database are created by inertia)
36. coll = db[' informations ']
38. print db.collection_names ()
40. return Coll
46. def insert_one_doc (db):
48. # Insert a document
50. coll = db[' informations ']
52. Information = {"name": "Quyang", "age": " +"}
54. information_id = Coll.insert (information)
56. Print information_id
62. def insert_multi_docs (db):
64. # Insert documents in bulk, insert an array
66. coll = db[' informations ']
68. Information = [{"name": " xiaoming", "age": "+" }, {"name": "Xiaoqiang", "age": "24"}]
70. information_id = Coll.insert (information)
72. Print information_id
78. def get_one_doc (db):
80. # There's just one return, no return none
82. coll = db[' informations ']
84. print Coll.find_one () # returns the first record
86. Print Coll.find_one ({"name": "Quyang"})
88. Print Coll.find_one ({"name": "None"})
94. def get_one_by_id (db):
96. # Find a doc with Objectid
98. coll = db[' informations ']
100. obj = Coll.find_one ()
102. obj_id = obj["_id"]
104. print "_id for Objectid type, obj_id:" + str (obj_id)
108. Print Coll.find_one ({"_id": obj_id})
110. # Note that the obj_id here is an object, not a str, and cannot be found using the STR type as the _id value.
112. print "_id for str type"
114. Print Coll.find_one ({"_id": Str (OBJ_ID)})
116. # The Objectid method can be used to turn str into Objectid type
118. From bson.objectid import objectid
122. Print "_id converted to Objectid type"
124. Print Coll.find_one ({"_id": ObjectId (str (obj_id))})
130. def get_many_docs (db):
132. # MONGO provides a method for filtering lookups, which can be used to get data sets by various criteria filters, and to count, sort, and process data .
134. coll = db[' informations ']
136. #ASCENDING = 1 ascending; descending = 1 descending; default is ascending
138. for item in Coll.find (). Sort ("age", Pymongo. Descending):
140. Print Item
144. Count = Coll.count ()
146. print "All data in collection%s"% int (count)
150. #条件查询
152. Count = Coll.find ({"name": "Quyang"}). Count ()
154. print "Quyang:%s"%count
158. def clear_all_datas (db):
160. #清空一个集合中的所有数据
162. db["informations"].remove ()
166. if __name__ = = ' __main__ ':
168. db = get_db ()
170. My_collection = get_collection (db)
172. Post = {"author": "Mike", "text": "My First blog post!", "tags": ["MongoDB", "Python", "py" Mongo "],
174. "Date": Datetime.datetime.utcnow ()}
176. # Insert Record
178. My_collection.insert (POST)
180. Insert_one_doc (DB)
182. # Conditional Query
184. Print My_collection.find_one ({"x": "Ten"})
186. # Query All the data in the table
188. For III in my_collection.find ():
190. Print III
192. print My_collection.count ()
194. My_collection.update ({"author": "Mike"},
196. {"author": " Quyang", "text": "My First blog post!", "tags": ["MongoDB", "Python ", " Pymongo "],
198. "Date": Datetime.datetime.utcnow ()})
200. For jjj in my_collection.find ():
202. Print JJJ
204. Get_one_doc (DB)
206. GET_ONE_BY_ID (DB)
208. Get_many_docs (DB)
210. # Clear_all_datas (db)

Python uses Pymongo to manipulate the MongoDB library