- Python MongoDB - Discussion
- Python MongoDB - Useful Resources
- Python MongoDB - Quick Guide
- Python MongoDB - Limit
- Python MongoDB - Update
- Python MongoDB - Drop Collection
- Python MongoDB - Delete Document
- Python MongoDB - Sort
- Python MongoDB - Query
- Python MongoDB - Find
- Python MongoDB - Insert Document
- Python MongoDB - Create Collection
- Python MongoDB - Create Database
- Python MongoDB - Introduction
- Python MongoDB - Home
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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"},{"$set":{"city":"Visakhapatnam"}}) WriteResult({ "nMatched" : 1, "nUpserted" : 0, "nModified" : 1 }) > db.sample.find() { "_id" : "1001", "name" : "Ram", "age" : "26", "city" : "Hyderabad" } { "_id" : "1002", "name" : "Rahim", "age" : 27, "city" : "Visakhapatnam" } { "_id" : "1003", "name" : "Robert", "age" : 28, "city" : "Mumbai" }
Similarly you can replace the document with new data by saving it with same id using the save() method.
> db.sample.save({ "_id" : "1001", "name" : "Ram", "age" : "26", "city" : "Vijayawada" }) WriteResult({ "nMatched" : 1, "nUpserted" : 0, "nModified" : 1 }) > db.sample.find() { "_id" : "1001", "name" : "Ram", "age" : "26", "city" : "Vijayawada" } { "_id" : "1002", "name" : "Rahim", "age" : 27, "city" : "Visakhapatnam" } { "_id" : "1003", "name" : "Robert", "age" : 28, "city" : "Mumbai" }
Updating documents using python
Similar to find_one() method which retrieves single document, the update_one() method of pymongo updates a single document.
This method accepts a query specifying which document to update and the update operation.
Example
Following python example updates the location value of a document in a collection.
from pymongo import MongoCpent #Creating a pymongo cpent cpent = MongoCpent( localhost , 27017) #Getting the database instance db = cpent[ myDB ] #Creating a collection coll = db[ example ] #Inserting document into a collection data = [ {"_id": "101", "name": "Ram", "age": "26", "city": "Hyderabad"}, {"_id": "102", "name": "Rahim", "age": "27", "city": "Bangalore"}, {"_id": "103", "name": "Robert", "age": "28", "city": "Mumbai"} ] res = coll.insert_many(data) print("Data inserted ......") #Retrieving all the records using the find() method print("Documents in the collection: ") for doc1 in coll.find(): print(doc1) coll.update_one({"_id":"102"},{"$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 MongoCpent #Creating a pymongo cpent cpent = MongoCpent( localhost , 27017) #Getting the database instance db = cpent[ 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 }Advertisements