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$arrayToObject

The $arrayToObject operator in Amazon DocumentDB is the reverse of the $objectToArray operator. It takes an array of key-value pair documents and converts it into a single document. This is particularly useful when you need to convert an array of key-value pairs back into an object or document structure.

Parameters

Example (MongoDB Shell)

The example below demonstrates how to use $arrayToObject to convert an array of key-value pairs back into a document.

Create sample documents

db.videos.insertMany([
  { "_id": 1, "name": "Live Soft", "inventory": { "Des Moines": 1000, "Ames": 500 } },
  { "_id": 2, "name": "Top Pilot", "inventory": { "Mason City": 250, "Des Moines": 1000 } },
  { "_id": 3, "name": "Romancing the Rock", "inventory": { "Mason City": 250, "Ames": 500 } },
  { "_id": 4, "name": "Bravemind", "inventory": { "Mason City": 250, "Des Moines": 1000, "Ames": 500 } }
]);

Query example

db.videos.aggregate([
  { $project: { name: 1, videos: { $objectToArray: "$inventory" } } },
  { $project: { name: 1, inventory: { $arrayToObject: "$videos" } } }
]);

Output

{ "_id" : 1, "name" : "Live Soft", "inventory" : { "Des Moines" : 1000, "Ames" : 500 } }
{ "_id" : 2, "name" : "Top Pilot", "inventory" : { "Mason City" : 250, "Des Moines" : 1000 } }
{ "_id" : 3, "name" : "Romancing the Rock", "inventory" : { "Mason City" : 250, "Ames" : 500 } }
{ "_id" : 4, "name" : "Bravemind", "inventory" : { "Mason City" : 250, "Des Moines" : 1000, "Ames" : 500 } }

In this example, the $objectToArray operator is used to convert the inventory object into an array of key-value pairs. The $arrayToObject operator is then used to convert the array back into a document, restoring the original object structure.

Code examples

To view a code example for using the $arrayToObject 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('videos');

  const result = await collection.aggregate([
    { $project: { name: 1, videos: { $objectToArray: '$inventory' } } },
    { $project: { name: 1, inventory: { $arrayToObject: '$videos' } } }
  ]).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['videos']

    result = list(collection.aggregate([
        { '$project': { 'name': 1, 'videos': { '$objectToArray': '$inventory' } } },
        { '$project': { 'name': 1, 'inventory': { '$arrayToObject': '$videos' } } }
    ]))

    print(result)
    client.close()

example()