$lt - Amazon DocumentDB

$lt

The $lt operator in Amazon DocumentDB is used to match values that are less than the specified value. This operator is useful for filtering and querying data based on numerical comparisons.

Parameters

  • field: The field name to check.

  • value: The value to compare against.

Example (MongoDB Shell)

The following example demonstrates how to use the $lt operator to retrieve documents where the Inventory.OnHand value is less than 50.

Create sample documents

db.example.insertMany([ { "_id": 1, "Inventory": { "OnHand": 25, "Sold": 60 }, "Colors": ["Red", "Blue"] }, { "_id": 2, "Inventory": { "OnHand": 75, "Sold": 40 }, "Colors": ["Red", "White"] }, { "_id": 3, "Inventory": { "OnHand": 10, "Sold": 85 }, "Colors": ["Red", "Green"] } ]);

Query example

db.example.find({ "Inventory.OnHand": { $lt: 50 } })

Output

{ "_id" : 1, "Inventory" : { "OnHand" : 25, "Sold" : 60 }, "Colors" : [ "Red", "Blue" ] } { "_id" : 3, "Inventory" : { "OnHand" : 10, "Sold" : 85 }, "Colors" : [ "Red", "Green" ] }

Code examples

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

Node.js
const { MongoClient } = require('mongodb'); async function example() { 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('example'); const result = await collection.find({ "Inventory.OnHand": { $lt: 50 } }).toArray(); console.log(result); await client.close(); } example();
Python
from pymongo import MongoClient def example(): client = MongoClient('mongodb://<username>:<password>@<cluster-endpoint>:27017/?tls=true&tlsCAFile=global-bundle.pem&replicaSet=rs0&readPreference=secondaryPreferred&retryWrites=false') db = client['test'] collection = db['example'] result = list(collection.find({ "Inventory.OnHand": { "$lt": 50 } })) print(result) client.close() example()