$in - 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.

$in

The $in aggregation operator checks if a specified value exists within an array. It returns true if the value is found in the array, and false otherwise.

Parameters

  • value: The value to search for.

  • array: The array to search within.

Example (MongoDB Shell)

The following example demonstrates using the $in operator to check if a specific skill exists in each employee's skill set.

Create sample documents

db.employees.insertMany([
  { _id: 1, name: "Sarah", skills: ["Python", "JavaScript", "SQL"] },
  { _id: 2, name: "Mike", skills: ["Java", "C++", "Go"] },
  { _id: 3, name: "Emma", skills: ["Python", "Ruby", "Rust"] }
]);

Query example

db.employees.aggregate([
  {
    $project: {
      name: 1,
      hasPython: { $in: ["Python", "$skills"] }
    }
  }
]);

Output

[
  { _id: 1, name: 'Sarah', hasPython: true },
  { _id: 2, name: 'Mike', hasPython: false },
  { _id: 3, name: 'Emma', hasPython: true }
]

Code examples

To view a code example for using the $in 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('employees');

  const result = await collection.aggregate([
    {
      $project: {
        name: 1,
        hasPython: { $in: ["Python", "$skills"] }
      }
    }
  ]).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['employees']

    result = list(collection.aggregate([
        {
            '$project': {
                'name': 1,
                'hasPython': { '$in': ['Python', '$skills'] }
            }
        }
    ]))

    print(result)
    client.close()

example()