先决条件: MongoDB Python基础知识 本文主要讨论如何替换集合中的文档或条目。我们只能替换数据库中已经插入的数据。 使用的方法: 替换一个()和替换多个() 目标:用新文档替换旧文档的全部数据
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MongoDB中的插入
我们首先在MongoDB中插入数据。
# Python code to illustrate # Insert in MongoDB from pymongo import MongoClient try : conn = MongoClient() print ( "Connected successfully!!!" ) except : print ( "Could not connect to MongoDB" ) # database db = conn.database # Created or Switched to collection names: my_gfg_collection collection = db.my_gfg_collection emp_rec1 = { "name" : "Mr.Geek" , "eid" : 24 , "location" : "delhi" } emp_rec2 = { "name" : "Mr.Shaurya" , "eid" : 14 , "location" : "delhi" } emp_rec3 = { "name" : "Mr.Coder" , "eid" : 14 , "location" : "gurugram" } # Insert Data rec_id1 = collection.insert_one(emp_rec1) rec_id2 = collection.insert_one(emp_rec2) rec_id3 = collection.insert_one(emp_rec3) print ( "Data inserted with record ids" ,rec_id1, " " ,rec_id2,rec_id3) # Printing the data inserted cursor = collection.find() for record in cursor: print (record) |
输出:
Connected successfully!!! Data inserted with record ids {'_id': ObjectId('5a02227b37b8552becf5ed2a'), 'name': 'Mr.Geek', 'eid': 24, 'location': 'delhi'} {'_id': ObjectId('5a02227c37b8552becf5ed2b'), 'name': 'Mr.Shaurya', 'eid': 14, 'location': 'delhi'} {'_id': ObjectId('5a02227c37b8552becf5ed2c'), 'name': 'Mr.Coder', 'eid': 14, 'location': 'gurugram'}
替换_one()
插入数据后,让我们替换名为Shaurya先生的员工的数据
# Python code to illustrate # Replace_one() in MongoDB from pymongo import MongoClient try : conn = MongoClient() print ( "Connected successfully!!!" ) except : print ( "Could not connect to MongoDB" ) # database db = conn.database # Created or Switched to collection names: my_gfg_collection collection = db.my_gfg_collection # replace one of the employee data whose name is Mr.Shaurya result = collection.replace_one( { "name" : "Mr.Shaurya" }, { "name" : "Mr.GfG" , "eid" : 45 , "location" : "noida" } ) print ( "Data replaced with id" ,result) # Print the new record cursor = collection.find() for record in cursor: print (record) |
Connected successfully!!! Data replaced with id {'_id': ObjectId('5a02227b37b8552becf5ed2a'), 'name': 'Mr.Geek', 'eid': 24, 'location': 'delhi'} {'_id': ObjectId('5a02227c37b8552becf5ed2b'), 'name': 'Mr.GfG', 'eid': 45, 'location': 'noida'} {'_id': ObjectId('5a02227c37b8552becf5ed2c'), 'name': 'Mr.Coder', 'eid': 14, 'location': 'gurugram'}
我们已成功地替换了员工姓名为“Mr.Shaurya”的文件,并将整个文件替换为新文件,名称为“Mr.GfG”(目前)。
替换许多
考虑到数据与插入的数据相同。 将所有数据项替换为eid:14。
# Python code to illustrate # Replace_many() in MongoDB from pymongo import MongoClient try : conn = MongoClient() print ( "Connected successfully!!!" ) except : print ( "Could not connect to MongoDB" ) # database db = conn.database # Created or Switched to collection names: my_gfg_collection collection = db.my_gfg_collection # replace one of the employee data whose name is Mr.Shaurya result = collection.replace_many( { "eid" : 14 }, { "name" : "Mr.GfG" , "eid" : 45 , "location" : "noida" } ) print ( "Data replaced with id" ,result) # Print the new record cursor = collection.find() for record in cursor: print (record) |
产出应该是:
Connected successfully!!! Data replaced with id {'_id': ObjectId('5a02227b37b8552becf5ed2a'), 'name': 'Mr.Geek', 'eid': 24, 'location': 'delhi'} {'_id': ObjectId('5a02227c37b8552becf5ed2b'), 'name': 'Mr.GfG', 'eid': 45, 'location': 'noida'} {'_id': ObjectId('5a02227c37b8552becf5ed2c'), 'name': 'Mr.GfG', 'eid': 45, 'location': 'noida'}
在这里,我们可以看到eid:14的两个条目被新数据替换。(即使数据相同,ObjectId也会不同)。
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