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.
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# Database namedb = client["GFG"]# Collection namecol = db["gfg"]# Query to be updatedquery = {"coursename": "SYSTEM DESIGN"}# New valuenewvalue = {"$set": {"coursename": "Computer network"}}# Update the valuecol.update_one(query, newvalue) |
Output:
Method: update_many()
update_many() method update all the documents matching the query filter.
Syntax:
update_many(query, newvalues, upsert=False, bypass_document_validation=False, collation=None, array_filters=None, session=None)Parameters:
- ‘filter’ : A query that matches the document to update.
- ‘new_values’ : The modifications to apply.
- ‘upsert’ (optional): If “True”, perform an insert if no documents match the filter.
- ‘bypass_document_validation’ (optional) : If “True”, allows the write to opt-out of document level validation. Default is “False”.
- ‘collation’ (optional) : An instance of class: ‘~pymongo.collation.Collation’. This option is only supported on MongoDB 3.4 and above.
- ‘array_filters’ (optional) : A list of filters specifying which array elements an update should apply. Requires MongoDB 3.6+.
- ‘session’ (optional) : a class:’~pymongo.client_session.ClientSession’.
Example:
Python3
import pymongo# Database namedb = client["GFG"]# Collection namecol = db["gfg"]# Query to be updatedquery = {"coursename": "SYSTEM DESIGN"}# New valuenewvalue = {"$set": {"coursename": "Computer network"}}# Update the valuecol.update_many(query, newvalue) |
Output:
