This article example describes the method of Python operation MongoDB database. Shared for your reference, as follows:
>>> import pymongo >>> client= ('localhost',27017) >>> db= >>> db.collection_names() ['students'] >>> students= >>> () < object at 0x0000017A74305FD0> >>> for item in (): print(item) {'_id': ObjectId('59394a87ae09c56bd9c1d375'), 'name': 'zhangsan', 'age': 18.0, 'sex': 'male'} >>> wangwu={'name':'wangwu','age':20,'sex':'male'} >>> (wangwu) ObjectId('593a7c5fedb5a1abeb757052') >>> for item in ({'name':'wangwu'}): print(item) {'_id': ObjectId('593a7c5fedb5a1abeb757052'), 'name': 'wangwu', 'age': 20, 'sex': 'male'} >>> students.find_one() {'_id': ObjectId('59394a87ae09c56bd9c1d375'), 'name': 'zhangsan', 'age': 18.0, 'sex': 'male'} >>> students.find_one({'name':'wangwu'}) {'_id': ObjectId('593a7c5fedb5a1abeb757052'), 'name': 'wangwu', 'age': 20, 'sex': 'male'} >>> ().count() 2 >>> ({'name':'wangwu'}) {'ok': 1, 'n': 1} >>> for item in (): print(item) {'_id': ObjectId('59394a87ae09c56bd9c1d375'), 'name': 'zhangsan', 'age': 18.0, 'sex': 'male'} >>> ().count() 1 >>> students.create_index([('name',)]) 'name_1' >>> ({'name':'zhangsan'},{'$set':{'age':25}}) {'ok': 1, 'nModified': 1, 'n': 1, 'updatedExisting': True} >>> students.find_one() {'_id': ObjectId('59394a87ae09c56bd9c1d375'), 'name': 'zhangsan', 'age': 25, 'sex': 'male'} >>> ({'age':25},{'$set':{'sex':'Female'}}) {'ok': 1, 'nModified': 1, 'n': 1, 'updatedExisting': True} >>> () {'ok': 1, 'n': 1} >>> ().count() 0 >>> zhangsan={'name':'zhangsan','age':25,'sex':'Male'} >>> lisi={'name':'lisi','age':21,'sex':'Male'} >>> wangwu={'name':'wangwu','age':22,'sex':'Female'} >>> students.insert_many([zhangsan,lisi,wangwu]) < object at 0x0000017A749FC5E8> >>> for item in ().sort('name',): print(item) {'_id': ObjectId('593a806bedb5a1abeb757054'), 'name': 'lisi', 'age': 21, 'sex': 'Male'} {'_id': ObjectId('593a806bedb5a1abeb757055'), 'name': 'wangwu', 'age': 22, 'sex': 'Female'} {'_id': ObjectId('593a806bedb5a1abeb757053'), 'name': 'zhangsan', 'age': 25, 'sex': 'Male'} >>> for item in ().sort([('sex',),('name',)]): print(item) {'_id': ObjectId('593a806bedb5a1abeb757054'), 'name': 'lisi', 'age': 21, 'sex': 'Male'} {'_id': ObjectId('593a806bedb5a1abeb757053'), 'name': 'zhangsan', 'age': 25, 'sex': 'Male'} {'_id': ObjectId('593a806bedb5a1abeb757055'), 'name': 'wangwu', 'age': 22, 'sex': 'Female'} >>>
Readers interested in more Python related content can check out this site's topic: theSummary of common database manipulation techniques in Python》、《Summary of Python Math Operations Tips》、《Python Data Structures and Algorithms Tutorial》、《Summary of Python function usage tips》、《Summary of Python string manipulation techniques》、《Python introductory and advanced classic tutorialsand theSummary of Python file and directory manipulation techniques》
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