$sortByCount - Amazon DocumentDB
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$sortByCount

New from version 8.0.1.

The $sortByCount aggregation stage in Amazon DocumentDB groups incoming documents based on the value of a specified expression, then computes the count of documents in each distinct group, and sorts the results by count in descending order. It is equivalent to a $group stage with a $sum accumulator followed by a $sort stage on the count field.

Parameters

  • expression: The expression to group by. This can be a field path (prefixed with $) or any valid aggregation expression.

Example (MongoDB Shell)

The following example demonstrates how to use the $sortByCount stage to count and sort documents by a category field.

Create sample documents

db.products.insertMany([ { name: "Widget", category: "electronics" }, { name: "Gadget", category: "electronics" }, { name: "Doohickey", category: "electronics" }, { name: "Apple", category: "food" }, { name: "Banana", category: "food" }, { name: "Hammer", category: "tools" } ]);

Query example

db.products.aggregate([ { $sortByCount: "$category" } ]);

Output

[ { "_id": "electronics", "count": 3 }, { "_id": "food", "count": 2 }, { "_id": "tools", "count": 1 } ]

The results are automatically sorted by count in descending order.

Code examples

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

Node.js
const { MongoClient } = require('mongodb'); async function example() { const client = new MongoClient('mongodb://<username>:<password>@<cluster-endpoint>:27017/?tls=true&tlsCAFile=global-bundle.pem&replicaSet=rs0&readPreference=secondaryPreferred&retryWrites=false'); try { await client.connect(); const db = client.db('test'); const collection = db.collection('products'); const result = await collection.aggregate([ { $sortByCount: "$category" } ]).toArray(); console.log(result); } finally { 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') try: db = client['test'] collection = db['products'] result = list(collection.aggregate([ { '$sortByCount': '$category' } ])) print(result) finally: client.close() example()