Example (MongoDB Shell)Window operator usage example (MongoDB Shell)Code examples

$top

New from version 8.0.1.

Use the $top accumulator in the $group stage to return the highest-ranked document per group according to a specified sort order.

Parameters

sortBy: A document specifying the sort order. Use 1 for ascending or -1 for descending.
output: An expression that specifies the fields to return from the top document.

Example (MongoDB Shell)

The following example shows how to use the $top accumulator to find the top sale (highest quantity) per item in a sales collection.

Create sample documents


db.sales.insertMany([
  { item: "abc", quantity: 10, price: 5 },
  { item: "abc", quantity: 5, price: 8 },
  { item: "xyz", quantity: 15, price: 3 },
  { item: "xyz", quantity: 7, price: 6 }
])

Query example


db.sales.aggregate([
  { $group: { _id: "$item", topSale: { $top: { sortBy: { quantity: -1 }, output: { quantity: "$quantity", price: "$price" } } } } }
])

Output


[
  { "_id": "xyz", "topSale": { "quantity": 15, "price": 3 } },
  { "_id": "abc", "topSale": { "quantity": 10, "price": 5 } }
]

Window operator usage example (MongoDB Shell)

New from version 8.0.2.

The $top operator can also be used as a window operator in the $setWindowFields stage. In this context, it returns the output from the top-ranked document (according to the operator's own sortBy) among the documents in each window. You specify the operator under the output field, and optionally define the window boundaries with a window document.

Note

When used as a window operator in $setWindowFields, $top is limited to 100 MB of intermediate data. An operation that exceeds this limit returns an error.

Create sample documents


db.matchScores.insertMany([
  { _id: 1, player: "Alice", round: 1, score: 20 },
  { _id: 2, player: "Alice", round: 2, score: 35 },
  { _id: 3, player: "Alice", round: 3, score: 28 },
  { _id: 4, player: "Bob", round: 1, score: 15 },
  { _id: 5, player: "Bob", round: 2, score: 40 }
]);

Query example

The following example partitions the documents by player, sorts each partition by round, and returns the highest-scoring round seen from the start of the partition through the current document.


db.matchScores.aggregate([
  {
    $setWindowFields: {
      partitionBy: "$player",
      sortBy: { round: 1 },
      output: {
        bestRoundSoFar: {
          $top: { sortBy: { score: -1 }, output: { round: "$round", score: "$score" } },
          window: { documents: ["unbounded", "current"] }
        }
      }
    }
  }
]);

Output


[
  { "_id": 1, "player": "Alice", "round": 1, "score": 20, "bestRoundSoFar": { "round": 1, "score": 20 } },
  { "_id": 2, "player": "Alice", "round": 2, "score": 35, "bestRoundSoFar": { "round": 2, "score": 35 } },
  { "_id": 3, "player": "Alice", "round": 3, "score": 28, "bestRoundSoFar": { "round": 2, "score": 35 } },
  { "_id": 4, "player": "Bob", "round": 1, "score": 15, "bestRoundSoFar": { "round": 1, "score": 15 } },
  { "_id": 5, "player": "Bob", "round": 2, "score": 40, "bestRoundSoFar": { "round": 2, "score": 40 } }
]

Each document is augmented with bestRoundSoFar, the top-scoring round within its partition up to and including the current document.

Code examples

To view a code example for using the $top operator, choose the tab for the language that you want to use. The following examples show both accumulator usage (in $group) and window operator usage (in $setWindowFields):

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');

    // Accumulator usage: top document per group
    const sales = db.collection('sales');
    await sales.insertMany([
      { item: "abc", quantity: 10, price: 5 },
      { item: "abc", quantity: 5, price: 8 },
      { item: "xyz", quantity: 15, price: 3 },
      { item: "xyz", quantity: 7, price: 6 }
    ]);
    const accumulatorResult = await sales.aggregate([
      { $group: { _id: "$item", topSale: { $top: { sortBy: { quantity: -1 }, output: { quantity: "$quantity", price: "$price" } } } } }
    ]).toArray();
    console.log('Accumulator result:', accumulatorResult);

    // Window operator usage: best round so far within each partition
    const matchScores = db.collection('matchScores');
    await matchScores.insertMany([
      { _id: 1, player: "Alice", round: 1, score: 20 },
      { _id: 2, player: "Alice", round: 2, score: 35 },
      { _id: 3, player: "Alice", round: 3, score: 28 },
      { _id: 4, player: "Bob", round: 1, score: 15 },
      { _id: 5, player: "Bob", round: 2, score: 40 }
    ]);
    const windowResult = await matchScores.aggregate([
      {
        $setWindowFields: {
          partitionBy: "$player",
          sortBy: { round: 1 },
          output: {
            bestRoundSoFar: {
              $top: { sortBy: { score: -1 }, output: { round: "$round", score: "$score" } },
              window: { documents: ["unbounded", "current"] }
            }
          }
        }
      }
    ]).toArray();
    console.log('Window result:', windowResult);

  } 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']

        # Accumulator usage: top document per group
        sales = db['sales']
        sales.insert_many([
            { 'item': 'abc', 'quantity': 10, 'price': 5 },
            { 'item': 'abc', 'quantity': 5, 'price': 8 },
            { 'item': 'xyz', 'quantity': 15, 'price': 3 },
            { 'item': 'xyz', 'quantity': 7, 'price': 6 }
        ])
        accumulator_result = list(sales.aggregate([
            { '$group': { '_id': '$item', 'topSale': { '$top': { 'sortBy': { 'quantity': -1 }, 'output': { 'quantity': '$quantity', 'price': '$price' } } } } }
        ]))
        pprint(accumulator_result)

        # Window operator usage: best round so far within each partition
        match_scores = db['matchScores']
        match_scores.insert_many([
            { '_id': 1, 'player': 'Alice', 'round': 1, 'score': 20 },
            { '_id': 2, 'player': 'Alice', 'round': 2, 'score': 35 },
            { '_id': 3, 'player': 'Alice', 'round': 3, 'score': 28 },
            { '_id': 4, 'player': 'Bob', 'round': 1, 'score': 15 },
            { '_id': 5, 'player': 'Bob', 'round': 2, 'score': 40 }
        ])
        window_result = list(match_scores.aggregate([
            {
                '$setWindowFields': {
                    'partitionBy': '$player',
                    'sortBy': { 'round': 1 },
                    'output': {
                        'bestRoundSoFar': {
                            '$top': { 'sortBy': { 'score': -1 }, 'output': { 'round': '$round', 'score': '$score' } },
                            'window': { 'documents': ['unbounded', 'current'] }
                        }
                    }
                }
            }
        ]))
        pprint(window_result)

    except Exception as e:
        print(f"An error occurred: {e}")

    finally:
        if client:
            client.close()

example()

Javascript is disabled or is unavailable in your browser.

To use the Amazon Web Services Documentation, Javascript must be enabled. Please refer to your browser's Help pages for instructions.

$tanh

$topN