Update all Documents in a Collection using PyMongo Last Updated : 03 Jun, 2020 Summarize Suggest changes Share Like Article Like Report MongoDB is an open-source document-oriented database. MongoDB stores data in the form of key-value pairs and is a NoSQL database program. The term NoSQL means non-relational. PyMongo contains tools which are used to interact with the MongoDB database. Now let's see how to update all the documents in a collection. Updating all Documents in a Collection PyMongo includes an update_many() function which updates all the documents which satisfy the given query. update_many() accepts the following parameters - filter - It is the first parameter which is a criteria according to which the documents that satisfy the query are updated.update operator- It is the second parameter which contains the information to be updated in the documents.upsert- (Optional) It is a boolean. If set to true and there is no document matching the filter, a new document is created.array_filters - (Optional) It is an array of filter documents to determine which array elements to modify for an update operation on an array field.bypass_document_validation - (Optional) A boolean which skips the document validation when set to True.collation - (Optional) specifies the language specific rules for the operation.session - (Optional) a ClientSession. Update Operators in MongoDB Setting Values: $set: Used to set a fields value.$setOnInsert: Update value only if a new document insertion.$unset: Remove the field and its value. Numeric Operators: $inc: Increases the value by a given amount.$min/$max: returns minimum or maximum of value.$mul: multiplies the values by a given amount. Miscellaneous Operators: $currentDate: Updates value of a field to current date.$rename: Renames a field Now let's understand through some examples. Sample Database: Screenshot of Database from Compass Some use cases we are going to see in this article where updating many records can be useful: Changing or incrementing several elements based on a condition.Inserting a new field to multiple or all documents. Example 1: All the students with marks greater than 35 has been passed. Python3 from pymongo import MongoClient # Creating an instance of MongoClient # on default localhost client = MongoClient('mongodb://localhost:27017') # Accessing desired database and collection db = client.gfg collection = db["classroom"] # Update passed field to be true for all # students with marks greater than 35 collection.update_many( {"marks": { "$gt": "35" } }, { "$set": { "passed" : "True" } } ) Database After Query: Pass field has been updated to true for student 1 and 3 Example 2: New field called address added to all documents Python from pymongo import MongoClient # Creating an instance of MongoClient # on default localhost client = MongoClient('mongodb://localhost:27017') # Accessing desired database and collection db = client.gfg collection = db["classroom"] # Address filed to be added to all documents collection.update_many( {}, {"$set": { "Address": "value" } }, # don't insert if no document found upsert=False, array_filters=None ) Database After query: Address field has been added to all documents. Advertise with us Next Article Aggregation in MongoDB using Python G gauravbabbar25 Follow Similar Reads Python MongoDB Tutorial MongoDB is a popular NoSQL database designed to store and manage data flexibly and at scale. Unlike traditional relational databases that use tables and rows, MongoDB stores data as JSON-like documents using a format called BSON (Binary JSON). This document-oriented model makes it easy to handle com 2 min read Python MongoDB - IntroductionMongoDB: An introductionMongoDB is a powerful, open-source NoSQL database that offers a document-oriented data model, providing a flexible alternative to traditional relational databases. Unlike SQL databases, MongoDB stores data in BSON format, which is similar to JSON, enabling efficient and scalable data storage and ret 5 min read MongoDB and PythonMongoDB is a cross-platform, document-oriented database that works on the concept of collections and documents. 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