$arrayToObject - Amazon DocumentDB

$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

  • array expression: An expression that resolves to an array. The array elements must be documents with two fields: k (the key) and v (the value).

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()