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$count (accumulator) - Amazon DocumentDB

$count (accumulator)

New from version 8.0.1.

Use the $count accumulator within a $group stage to return the number of documents in each group. It accepts an empty object {} as its argument.

This is different from the $count pipeline stage, which is a standalone stage that counts all documents passing through the pipeline. The $count accumulator instead counts documents within each group produced by $group.

Syntax

{ $count: {} }

Parameters

  • The $count accumulator takes no arguments. It accepts an empty object {} and returns the count of documents in each group.

Example (MongoDB Shell)

The following example shows how to use the $count accumulator to count the number of products in each category.

Create sample documents

db.products.insertMany([ { name: "Widget", category: "A" }, { name: "Gadget", category: "A" }, { name: "Doohickey", category: "B" }, { name: "Thingamajig", category: "B" }, { name: "Whatsit", category: "B" } ])

Query example

db.products.aggregate([ { $group: { _id: "$category", count: { $count: {} } } } ])

Output

[ { "_id": "A", "count": 2 }, { "_id": "B", "count": 3 } ]

Code examples

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

Node.js
const { MongoClient } = require('mongodb'); async function example() { const uri = 'mongodb://<username>:<password>@<cluster-endpoint>:27017/?tls=true&tlsCAFile=global-bundle.pem&replicaSet=rs0&readPreference=secondaryPreferred&retryWrites=false'; const client = new MongoClient(uri); try { await client.connect(); const db = client.db('test'); const collection = db.collection('products'); const result = await collection.aggregate([ { $group: { _id: "$category", count: { $count: {} } } } ]).toArray(); console.log(result); } catch (error) { console.error('Error:', error); } finally { await client.close(); } } example();
Python
from pymongo import MongoClient from pprint import pprint def example(): client = None try: client = MongoClient('mongodb://<username>:<password>@<cluster-endpoint>:27017/?tls=true&tlsCAFile=global-bundle.pem&replicaSet=rs0&readPreference=secondaryPreferred&retryWrites=false') db = client['test'] collection = db['products'] result = list(collection.aggregate([ { '$group': { '_id': '$category', 'count': { '$count': {} } } } ])) pprint(result) except Exception as e: print(f"An error occurred: {e}") finally: if client: client.close() example()