$replaceAll - Amazon DocumentDB

$replaceAll

Introduced in 5.0

The $replaceAll operator in Amazon DocumentDB is used to replace all occurrences of a specified string pattern within a field with a new string. This operator can be useful for tasks such as data normalization, text cleaning, and string manipulation.

Parameters

  • input: The field or expression containing the string to be replaced.

  • find: The string pattern to search for and replace.

  • replacement: The string to replace the matched occurrences with.

Example (MongoDB Shell)

The following example demonstrates how to use the $replaceAll operator in an aggregation pipeline to replace all occurrences of the string "Chocolatier" with "Chocolate Co." in the "brandName" field of a "products" collection.

Create sample documents

db.products.insertMany([ { "_id": 1, "productId": "PROD-0Y9GL0", "brandName": "Gordon's Chocolatier", "category": "CPG", "rating": { "average": 4.8 } }, { "_id": 2, "productId": "PROD-1X2YZ3", "brandName": "Premium Chocolatier", "category": "CPG", "rating": { "average": 4.5 } }, { "_id": 3, "productId": "PROD-Y2E9H5", "name": "Nutrition Co. - Original Corn Flakes Cereal", "category": "Breakfast Cereals", "price": 8.5 } ]);

Query example

db.products.aggregate([ { $addFields: { "brandName": { $replaceAll: { input: "$brandName", find: "Chocolatier", replacement: "Chocolate Co." } } } } ])

Output

[ { _id: 1, productId: 'PROD-0Y9GL0', brandName: "Gordon's Chocolate Co.", category: 'CPG', rating: { average: 4.8 } }, { _id: 2, productId: 'PROD-1X2YZ3', brandName: 'Premium Chocolate Co.', category: 'CPG', rating: { average: 4.5 } }, { _id: 3, productId: 'PROD-Y2E9H5', name: 'Nutrition Co. - Original Corn Flakes Cereal', category: 'Breakfast Cereals', price: 8.5, brandName: null } ]

Code examples

To view a code example for using the $replaceAll command, choose the tab for the language that you want to use:

Node.js
const { MongoClient } = require('mongodb'); async function replaceAll() { const client = await MongoClient.connect('mongodb://<username>:<password>@<cluster-endpoint>:27017/?tls=true&tlsCAFile=global-bundle.pem&replicaSet=rs0&readPreference=secondaryPreferred&retryWrites=false'); const db = client.db('test'); const collection = db.collection('products'); const results = await collection.aggregate([ { $addFields: { "brandName": { $replaceAll: { input: "$brandName", find: "Chocolatier", replacement: "Chocolate Co." } } } } ]).toArray(); console.log(results); await client.close(); } replaceAll();
Python
from pymongo import MongoClient def replace_all(): client = MongoClient('mongodb://<username>:<password>@<cluster-endpoint>:27017/?tls=true&tlsCAFile=global-bundle.pem&replicaSet=rs0&readPreference=secondaryPreferred&retryWrites=false') db = client.test collection = db.products results = list(collection.aggregate([ { "$addFields": { "brandName": { "$replaceAll": { "input": "$brandName", "find": "Chocolatier", "replacement": "Chocolate Co." } } } } ])) print(results) client.close() replace_all()