$size - Amazon DocumentDB
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$size

The $size operator is used to return the count of items within an array field. This can be used to determine the number of elements in an array stored in a document.

Parameters

  • field: The field path whose array size you want to return.

Example (MongoDB Shell)

This example shows how to use the $size operator to return the count of teams each user is following.

Create sample documents

db.profiles.insertMany([ { _id: 1, name: "John Doe", teams: ["Acme", "Widgets", "Gadgets"] }, { _id: 2, name: "Jane Smith", teams: ["Acme", "Gadgets"] }, { _id: 3, name: "Bob Johnson", teams: ["Acme", "Widgets", "Gadgets"] } ]);

Query example

db.profiles.aggregate([ { $project: { _id: 0, name: 1, "numberOfTeams": { $size: "$teams" } } } ])

Output

[ { name: 'John Doe', numberOfTeams: 3 }, { name: 'Jane Smith', numberOfTeams: 2 }, { name: 'Bob Johnson', numberOfTeams: 3 } ]

Code examples

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

Node.js
const { MongoClient } = require('mongodb'); async function main() { 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 profiles = db.collection('profiles'); const result = await profiles.aggregate([ { $project: { item: 1, "numberOfTeams": { $size: "$teams" } } } ]).toArray(); console.log(result); await client.close(); } main();
Python
from pymongo import MongoClient def main(): client = MongoClient('mongodb://<username>:<password>@<cluster-endpoint>:27017/?tls=true&tlsCAFile=global-bundle.pem&replicaSet=rs0&readPreference=secondaryPreferred&retryWrites=false') db = client['test'] profiles = db.profiles result = list(profiles.aggregate([ { '$project': { 'item': 1, 'numberOfTeams': { '$size': '$teams' } } } ])) print(result) client.close() if __name__ == "__main__": main()