Updating Data in MongoDB

We can update data in a collection using update_one() method and update_many() method.

update_one()

update_one() method update first occurrence if document matching the query filter is found.

Syntax :update_one(query, newvalues, upsert=False, bypass_document_validation=False, collation=None, array_filters=None, session=None)

Parameters:

filter : A query that matches the document to update.
new_values : The modifications to apply.
upsert (optional): If “True”, perform an insert if no documents match the filter.
bypass_document_validation (optional) : If “True”, allows the write to opt-out of document level validation. Default is “False”.
collation (optional) : An instance of class: ‘~pymongo.collation.Collation’. This option is only supported on MongoDB 3.4 and above.
array_filters (optional) : A list of filters specifying which array elements an update should apply. Requires MongoDB 3.6+.
session (optional) : a class:’~pymongo.client_session.ClientSession’.

hint (optional): An index to use to support the query predicate specified. This option is only supported on MongoDB 4.2 and above.

Example:

Sample database is as follows:

Python3

import pymongo
 
 
client = pymongo.MongoClient("mongodb://localhost:27017/")
 
# Database name
db = client["GFG"]
 
# Collection name
col = db["gfg"]
 
# Query to be updated
query = {"coursename": "SYSTEM DESIGN"}
 
# New value
newvalue = {"$set": {"coursename": "Computer network"}}
 
# Update the value
col.update_one(query, newvalue)

Output:

Method: update_many()

update_many() method update all the documents matching the query filter.

Syntax:
update_many(query, newvalues, upsert=False, bypass_document_validation=False, 
            collation=None, array_filters=None, session=None)
Parameters:

‘filter’ : A query that matches the document to update.

‘new_values’ : The modifications to apply.

‘upsert’ (optional): If “True”, perform an insert if no documents match the filter.

‘bypass_document_validation’ (optional) : If “True”, allows the write to opt-out of document level validation. Default is “False”.

‘collation’ (optional) : An instance of class: ‘~pymongo.collation.Collation’. This option is only supported on MongoDB 3.4 and above.

‘array_filters’ (optional) : A list of filters specifying which array elements an update should apply. Requires MongoDB 3.6+.

‘session’ (optional) : a class:’~pymongo.client_session.ClientSession’.

Example:

Python3

import pymongo
 
 
client = pymongo.MongoClient("mongodb://localhost:27017/")
 
# Database name
db = client["GFG"]
 
# Collection name
col = db["gfg"]
 
# Query to be updated
query = {"coursename": "SYSTEM DESIGN"}
 
# New value
newvalue = {"$set": {"coursename": "Computer network"}}
 
# Update the value
col.update_many(query, newvalue)

Output:

How to update data in a Collection using Python?

MongoDB is a cross-platform, document-oriented database that works on the concept of collections and documents. MongoDB offers high speed, high availability, and high scalability.

Tags:

#Python-mongoDB #Python #python

Updating Data in MongoDB

update_one()

Python3

Method: update_many()

Python3

How to update data in a Collection using Python?

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