MongoDB essay, Pymongo simple to use

Installing MongoDB

MongoDB downloads the corresponding system version of the executable file
My system environment: rhel-server-6.2-x86_64
Unpack the Packagetar zxvf mongodb-linux-x86_64-rhel62-3.0.2.tgz

You can view the Readme in the directory to understand the role of each executable file.
Simple Start Command mkdir db; mongo --dbpath=./db
mongo --helpYou can get more help.

Installing Pymongo

installation command: pip install pymongo
For more Pip applications, refer to the Python pip pydoc 2to3 tool

Pymongo Simple to use

#!/usr/bin/env python#-*-Coding:utf-8-*-ImportPymongoImportDatetime def get_db():    # Establish a connectionClient = Pymongo. Mongoclient (host="10.244.25.180", port=27017) db = client[' Example ']#或者 db = Client.example    returnDb def get_collection(db):    # Select Collection (Mongo in collection and database are created by inertia)coll = db[' informations ']PrintDb.collection_names ()returnColl def insert_one_doc(db):    # Insert a documentcoll = db[' informations '] Information = {"Name":"Quyang","Age":"very"} information_id = Coll.insert (information)Printinformation_id def insert_multi_docs(db):    # Insert documents in bulk, insert an arraycoll = db[' informations '] Information = [{"Name":"Xiaoming","Age":"very"}, {"Name":"Xiaoqiang","Age":" the"}] information_id = Coll.insert (information)Printinformation_id def get_one_doc(db):    # There's just one return, no return nonecoll = db[' informations ']PrintColl.find_one ()# Returns the first record    PrintColl.find_one ({"Name":"Quyang"})PrintColl.find_one ({"Name":"None"}) def get_one_by_id(db):    # Find a doc with Objectidcoll = db[' informations '] obj = Coll.find_one () obj_id = obj["_id"]Print "_id for Objectid type, obj_id:"+ STR (obj_id)PrintColl.find_one ({"_id": obj_id})# Note that the obj_id here is an object, not a str, and cannot be found using the STR type as the _id value.    Print "_id is str type"    PrintColl.find_one ({"_id": Str (OBJ_ID)})# The Objectid method can be used to turn str into Objectid type     fromBson.objectidImportObjectIdPrint "_id converted to Objectid type"    PrintColl.find_one ({"_id": ObjectId (str (obj_id))}) def get_many_docs(db):    # 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 .coll = db[' informations ']#ASCENDING = 1 ascending; descending = 1 descending; default is ascending     forIteminchColl.find (). Sort ("Age", Pymongo. Descending):PrintItem count = Coll.count ()Print "All data in collection%s"% 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 ()}# Insert RecordMy_collection.insert (POST) Insert_one_doc (db)# Conditional Query    PrintMy_collection.find_one ({"x":"Ten"})# Query All the data in the table     forIiiinchMy_collection.find ():PrintIiiPrintMy_collection.count () my_collection.update ({"Author":"Mike."},                         {"Author":"Quyang","Text":"My First blog post!","tags": ["MongoDB","Python","Pymongo"],"Date": Datetime.datetime.utcnow ()}) forJjjinchMy_collection.find ():PrintJJJ Get_one_doc (db) get_one_by_id (db) Get_many_docs (db)# Clear_all_datas (db)

MongoDB essay, Pymongo simple to use