$search - Amazon DocumentDB
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$search

New from version 5.0.

The $search operator in Amazon DocumentDB is used to provide text search capabilities.

Parameters

None

Example (MongoDB Shell)

The following example demonstrates how to use the $search operator to perform a text search query.

Create sample documents

db.textcollection.createIndex({"description": "text"}); db.textcollection.insertMany([ { _id: 1, name: "John Doe", description: "This is a sample document about John Doe." }, { _id: 2, name: "Jane Smith", description: "This is a sample document about Jane Smith." }, { _id: 3, name: "Bob Johnson", description: "This is a sample document about Bob Johnson." }, { _id: 4, name: "Jon Jeffries", description: "This is a sample document about Jon Jeffries." } ]);

Query example

db.textcollection.find( { $text: { $search: "John" } } );

Output

[ { _id: 1, name: 'John Doe', description: 'This is a sample document about John Doe.' } ]

Code examples

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

Node.js
const { MongoClient } = require('mongodb'); async function findWithText() { 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('textcollection'); const result = await collection.find( { $text: { $search: "John" } } ).sort({ score: { $meta: "textScore" } }).toArray(); console.log(result); client.close(); } findWithText();
Python
from pymongo import MongoClient def find_with_text(): client = MongoClient('mongodb://<username>:<password>@<cluster-endpoint>:27017/?tls=true&tlsCAFile=global-bundle.pem&replicaSet=rs0&readPreference=secondaryPreferred&retryWrites=false') db = client['test'] collection = db['textcollection'] result = list(collection.find( { '$text': { '$search': 'John' } } )) print(result) client.close() find_with_text()