This article focus on how to replace document or entry inside a collection. We can only replace the data already inserted in the database.
Prerequisites : MongoDB Python Basics
Method used: replace_one() Aim: Replace entire data of old document with a new document
Insertion In MongoDB
We would first insert data in MongoDB.
Python3
# Python code to illustrate# Insert in MongoDBfrom pymongo import MongoClienttry: conn = MongoClient() print(& quot Connected successfully!!!& quot )except: print(& quot Could not connect to MongoDB & quot )# databasedb = conn.database# Created or Switched to collection names: my_gfg_collectioncollection = db.my_gfg_collectionemp_rec1 = { & quot name & quot: & quot Mr.Geek & quot, & quot eid & quot: 24, & quot location & quot: & quot delhi & quot}emp_rec2 = { & quot name & quot: & quot Mr.Shaurya & quot, & quot eid & quot: 14, & quot location & quot: & quot delhi & quot}emp_rec3 = { & quot name & quot: & quot Mr.Coder & quot, & quot eid & quot: 14, & quot location & quot: & quot gurugram & quot}# Insert Datarec_id1 = collection.insert_one(emp_rec1)rec_id2 = collection.insert_one(emp_rec2)rec_id3 = collection.insert_one(emp_rec3)print(& quot Data inserted with record ids", rec_id1, & quot & quot , rec_id2, rec_id3)# Printing the data insertedcursor = collection.find()for record in cursor: print(record) |
Output:
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'}
Replace_one()
After inserting the data let’s replace the Data of an employee whose name: Mr.Shaurya
Matlab
# Python code to illustrate# Replace_one() in MongoDBfrom pymongo import MongoClienttry: conn = MongoClient() print("Connected successfully!!!")except: print("Could not connect to MongoDB")# databasedb = conn.database# Created or Switched to collection names: my_gfg_collectioncollection = db.my_gfg_collection# replace one of the employee data whose name is Mr.Shauryaresult = collection.replace_one( {"name":"Mr.Shaurya"}, { "name":"Mr.GfG", "eid":45, "location":"noida" } )print("Data replaced with id",result)# Print the new recordcursor = collection.find()for record in cursor: print(record) |
Output:
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'}
We have successfully replaced the document of employee name:’Mr.Shaurya’ and replaced the entire document with a new one, name:’Mr.GfG’ (present).
To replace multiple documents use update_many() with upsert set to True.
