
- Python Data Access Tutorial
- Python Data Access - Home
- Python MySQL
- Python MySQL - Introduction
- Python MySQL - Database Connection
- Python MySQL - Create Database
- Python MySQL - Create Table
- Python MySQL - Insert Data
- Python MySQL - Select Data
- Python MySQL - Where Clause
- Python MySQL - Order By
- Python MySQL - Update Table
- Python MySQL - Delete Data
- Python MySQL - Drop Table
- Python MySQL - Limit
- Python MySQL - Join
- Python MySQL - Cursor Object
- Python PostgreSQL
- Python PostgreSQL - Introduction
- Python PostgreSQL - Database Connection
- Python PostgreSQL - Create Database
- Python PostgreSQL - Create Table
- Python PostgreSQL - Insert Data
- Python PostgreSQL - Select Data
- Python PostgreSQL - Where Clause
- Python PostgreSQL - Order By
- Python PostgreSQL - Update Table
- Python PostgreSQL - Delete Data
- Python PostgreSQL - Drop Table
- Python PostgreSQL - Limit
- Python PostgreSQL - Join
- Python PostgreSQL - Cursor Object
- Python SQLite
- Python SQLite - Introduction
- Python SQLite - Establishing Connection
- Python SQLite - Create Table
- Python SQLite - Insert Data
- Python SQLite - Select Data
- Python SQLite - Where Clause
- Python SQLite - Order By
- Python SQLite - Update Table
- Python SQLite - Delete Data
- Python SQLite - Drop Table
- Python SQLite - Limit
- Python SQLite - Join
- Python SQLite - Cursor Object
- Python MongoDB
- Python MongoDB - Introduction
- Python MongoDB - Create Database
- Python MongoDB - Create Collection
- Python MongoDB - Insert Document
- Python MongoDB - Find
- Python MongoDB - Query
- Python MongoDB - Sort
- Python MongoDB - Delete Document
- Python MongoDB - Drop Collection
- Python MongoDB - Update
- Python MongoDB - Limit
- Python Data Access Resources
- Python Data Access - Quick Guide
- Python Data Access - Useful Resources
- Python Data Access - Discussion
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
Python MongoDB - Update
You can update the contents of an existing documents using the update() method or save() method.
The update method modifies the existing document whereas the save method replaces the existing document with the new one.
Syntax
Following is the syntax of the update() and save() methods of MangoDB −
>db.COLLECTION_NAME.update(SELECTION_CRITERIA, UPDATED_DATA) Or, db.COLLECTION_NAME.save({_id:ObjectId(),NEW_DATA})
Example
Assume we have created a collection in a database and inserted 3 records in it as shown below −
> use testdatabase switched to db testdatabase > data = [ ... {"_id": "1001", "name": "Ram", "age": "26", "city": "Hyderabad"}, ... {"_id": "1002", "name" : "Rahim", "age" : 27, "city" : "Bangalore" }, ... {"_id": "1003", "name" : "Robert", "age" : 28, "city" : "Mumbai" } ] [ { "_id" : "1001", "name" : "Ram", "age" : "26", "city" : "Hyderabad" }, { "_id" : "1002", "name" : "Rahim", "age" : 27, "city" : "Bangalore" }, { "_id" : "1003", "name" : "Robert", "age" : 28, "city" : "Mumbai" } ] > db.createCollection("sample") { "ok" : 1 } > db.sample.insert(data)
Following method updates the city value of the document with id 1002.
> db.sample.update({"_id":"1002"},{"$set":{"city":"Visakhapatnam"}}) WriteResult({ "nMatched" : 1, "nUpserted" : 0, "nModified" : 1 }) > db.sample.find() { "_id" : "1001", "name" : "Ram", "age" : "26", "city" : "Hyderabad" } { "_id" : "1002", "name" : "Rahim", "age" : 27, "city" : "Visakhapatnam" } { "_id" : "1003", "name" : "Robert", "age" : 28, "city" : "Mumbai" }
Similarly you can replace the document with new data by saving it with same id using the save() method.
> db.sample.save( { "_id" : "1001", "name" : "Ram", "age" : "26", "city" : "Vijayawada" } ) WriteResult({ "nMatched" : 1, "nUpserted" : 0, "nModified" : 1 }) > db.sample.find() { "_id" : "1001", "name" : "Ram", "age" : "26", "city" : "Vijayawada" } { "_id" : "1002", "name" : "Rahim", "age" : 27, "city" : "Visakhapatnam" } { "_id" : "1003", "name" : "Robert", "age" : 28, "city" : "Mumbai" }
Updating documents using python
Similar to find_one() method which retrieves single document, the update_one() method of pymongo updates a single document.
This method accepts a query specifying which document to update and the update operation.
Example
Following python example updates the location value of a document in a collection.
from pymongo import MongoClient #Creating a pymongo client client = MongoClient('localhost', 27017) #Getting the database instance db = client['myDB'] #Creating a collection coll = db['example'] #Inserting document into a collection data = [ {"_id": "101", "name": "Ram", "age": "26", "city": "Hyderabad"}, {"_id": "102", "name": "Rahim", "age": "27", "city": "Bangalore"}, {"_id": "103", "name": "Robert", "age": "28", "city": "Mumbai"} ] res = coll.insert_many(data) print("Data inserted ......") #Retrieving all the records using the find() method print("Documents in the collection: ") for doc1 in coll.find(): print(doc1) coll.update_one({"_id":"102"},{"$set":{"city":"Visakhapatnam"}}) #Retrieving all the records using the find() method print("Documents in the collection after update operation: ") for doc2 in coll.find(): print(doc2)
Output
Data inserted ...... Documents in the collection: {'_id': '101', 'name': 'Ram', 'age': '26', 'city': 'Hyderabad'} {'_id': '102', 'name': 'Rahim', 'age': '27', 'city': 'Bangalore'} {'_id': '103', 'name': 'Robert', 'age': '28', 'city': 'Mumbai'} Documents in the collection after update operation: {'_id': '101', 'name': 'Ram', 'age': '26', 'city': 'Hyderabad'} {'_id': '102', 'name': 'Rahim', 'age': '27', 'city': 'Visakhapatnam'} {'_id': '103', 'name': 'Robert', 'age': '28', 'city': 'Mumbai'}
Similarly, the update_many() method of pymongo updates all the documents that satisfies the specified condition.
Example
Following example updates the location value in all the documents in a collection (empty condition) −
from pymongo import MongoClient #Creating a pymongo client client = MongoClient('localhost', 27017) #Getting the database instance db = client['myDB'] #Creating a collection coll = db['example'] #Inserting document into a collection data = [ {"_id": "101", "name": "Ram", "age": "26", "city": "Hyderabad"}, {"_id": "102", "name": "Rahim", "age": "27", "city": "Bangalore"}, {"_id": "103", "name": "Robert", "age": "28", "city": "Mumbai"} ] res = coll.insert_many(data) print("Data inserted ......") #Retrieving all the records using the find() method print("Documents in the collection: ") for doc1 in coll.find(): print(doc1) coll.update_many({},{"$set":{"city":"Visakhapatnam"}}) #Retrieving all the records using the find() method print("Documents in the collection after update operation: ") for doc2 in coll.find(): print(doc2)
Output
Data inserted ...... Documents in the collection: {'_id': '101', 'name': 'Ram', 'age': '26', 'city': 'Hyderabad'} {'_id': '102', 'name': 'Rahim', 'age': '27', 'city': 'Bangalore'} {'_id': '103', 'name': 'Robert', 'age': '28', 'city': 'Mumbai'} Documents in the collection after update operation: {'_id': '101', 'name': 'Ram', 'age': '26', 'city': 'Visakhapatnam'} {'_id': '102', 'name': 'Rahim', 'age': '27', 'city': 'Visakhapatnam'} {'_id': '103', 'name': 'Robert', 'age': '28', 'city': 'Visakhapatnam'}