$setIsSubset - Amazon DocumentDB

$setIsSubset

The $setIsSubset operator in Amazon DocumentDB is used to determine if a set of values is a subset of another set. It is useful for performing set-based comparisons and operations on array fields.

Parameters

  • field: The field to apply the $setIsSubset operator to.

  • set: The set to compare the field against.

Example (MongoDB Shell)

The following example demonstrates the usage of the $setIsSubset operator to check if the tags field is a subset of the specified set.

Create sample documents

db.products.insertMany([ { _id: 1, name: "Product A", tags: ["tag1", "tag2", "tag3"] }, { _id: 2, name: "Product B", tags: ["tag1", "tag2"] }, { _id: 3, name: "Product C", tags: ["tag2", "tag3"] } ]);

Query example

db.products.find({ $expr: { $setIsSubset: [["tag1", "tag2"], "$tags"] } })

*Note:* $setIsSubset is an aggregation operator and cannot be used directly in find() queries. In this example, $expr is used with find() to bridge the gap between query operators and aggregation expressions.

Output

[ { "_id" : 1, "name" : "Product A", "tags" : [ "tag1", "tag2", "tag3" ] }, { "_id" : 2, "name" : "Product B", "tags" : [ "tag1", "tag2" ] } ]

The query returns the documents where the tags field is a subset of the set ["tag1", "tag2"].

Code examples

To view a code example for using the $setIsSubset command, 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('products'); const result = await collection.find({ $expr: { $setIsSubset: [["tag1", "tag2"], "$tags"] } }).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['products'] result = list(collection.find({ '$expr': {'$setIsSubset': [['tag1', 'tag2'], '$tags']} })) print(result) client.close() example()