$and - Amazon DocumentDB
Example (MongoDB Shell)Code examples
Services or capabilities described in AWS documentation might vary by Region. To see the differences applicable to the AWS European Sovereign Cloud Region, see the AWS European Sovereign Cloud User Guide.

$and

The $and aggregation operator evaluates multiple expressions and returns true only if all expressions evaluate to true. If any expression is false, it returns false.

Parameters

  • expressions: An array of expressions to evaluate.

Example (MongoDB Shell)

The following example demonstrates using the $and operator to check if products meet multiple criteria.

Create sample documents

db.products.insertMany([
  { _id: 1, name: "Laptop", price: 1200, inStock: true },
  { _id: 2, name: "Mouse", price: 25, inStock: false },
  { _id: 3, name: "Keyboard", price: 75, inStock: true }
]);

Query example

db.products.aggregate([
  {
    $project: {
      name: 1,
      price: 1,
      inStock: 1,
      affordable: {
        $and: [
          { $lt: ["$price", 100] },
          { $eq: ["$inStock", true] }
        ]
      }
    }
  }
]);

Output

[
  { _id: 1, name: 'Laptop', price: 1200, inStock: true, affordable: false },
  { _id: 2, name: 'Mouse', price: 25, inStock: false, affordable: false },
  { _id: 3, name: 'Keyboard', price: 75, inStock: true, affordable: true }
]

Code examples

To view a code example for using the $and aggregation operator, 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('products');

  const result = await collection.aggregate([
    {
      $project: {
        name: 1,
        price: 1,
        inStock: 1,
        affordable: {
          $and: [
            { $lt: ["$price", 100] },
            { $eq: ["$inStock", true] }
          ]
        }
      }
    }
  ]).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['products']

    result = list(collection.aggregate([
        {
            '$project': {
                'name': 1,
                'price': 1,
                'inStock': 1,
                'affordable': {
                    '$and': [
                        { '$lt': ['$price', 100] },
                        { '$eq': ['$inStock', True] }
                    ]
                }
            }
        }
    ]))

    print(result)
    client.close()

example()