Build an app using Node.js and Azure Cosmos DB's API for MongoDB
APPLIES TO: MongoDB
This example shows you how to build a console app using Node.js and Azure Cosmos DB's API for MongoDB.
To use this example, you must:
- Create an Azure Cosmos DB account configured to use Azure Cosmos DB's API for MongoDB.
- Retrieve your connection string information.
Create the app
Create a app.js file and copy & paste the code below.
var MongoClient = require('mongodb').MongoClient; var assert = require('assert'); var ObjectId = require('mongodb').ObjectID; var url = 'mongodb://<username>:<password>@<endpoint>.documents.azure.cn:10255/?ssl=true'; var insertDocument = function(db, callback) { db.collection('families').insertOne( { "id": "AndersenFamily", "lastName": "Andersen", "parents": [ { "firstName": "Thomas" }, { "firstName": "Mary Kay" } ], "children": [ { "firstName": "John", "gender": "male", "grade": 7 } ], "pets": [ { "givenName": "Fluffy" } ], "address": { "country": "USA", "state": "WA", "city": "Seattle" } }, function(err, result) { assert.equal(err, null); console.log("Inserted a document into the families collection."); callback(); }); }; var findFamilies = function(db, callback) { var cursor =db.collection('families').find( ); cursor.each(function(err, doc) { assert.equal(err, null); if (doc != null) { console.dir(doc); } else { callback(); } }); }; var updateFamilies = function(db, callback) { db.collection('families').updateOne( { "lastName" : "Andersen" }, { $set: { "pets": [ { "givenName": "Fluffy" }, { "givenName": "Rocky"} ] }, $currentDate: { "lastModified": true } }, function(err, results) { console.log(results); callback(); }); }; var removeFamilies = function(db, callback) { db.collection('families').deleteMany( { "lastName": "Andersen" }, function(err, results) { console.log(results); callback(); } ); }; MongoClient.connect(url, function(err, client) { assert.equal(null, err); var db = client.db('familiesdb'); insertDocument(db, function() { findFamilies(db, function() { updateFamilies(db, function() { removeFamilies(db, function() { client.close(); }); }); }); }); });
Optional: If you are using the MongoDB Node.js 2.2 driver, please replace the following code snippet:
Original:
MongoClient.connect(url, function(err, client) { assert.equal(null, err); var db = client.db('familiesdb'); insertDocument(db, function() { findFamilies(db, function() { updateFamilies(db, function() { removeFamilies(db, function() { client.close(); }); }); }); }); });
Should be replaced with:
MongoClient.connect(url, function(err, db) { assert.equal(null, err); insertDocument(db, function() { findFamilies(db, function() { updateFamilies(db, function() { removeFamilies(db, function() { db.close(); }); }); }); }); });
Modify the following variables in the app.js file per your account settings (Learn how to find your connection string):
Important
The MongoDB Node.js 3.0 driver requires encoding special characters in the Azure Cosmos DB password. Make sure to encode '=' characters as %3D
Example: The password jm1HbNdLg5zxEuyD86ajvINRFrFCUX0bIWP15ATK3BvSv== encodes to jm1HbNdLg5zxEuyD86ajvINRFrFCUX0bIWP15ATK3BvSv%3D%3D
The MongoDB Node.js 2.2 driver does not require encoding special characters in the Azure Cosmos DB password.
var url = 'mongodb://<endpoint>:<password>@<endpoint>.documents.azure.cn:10255/?ssl=true';
Open your favorite terminal, run npm install mongodb --save, then run your app with node app.js
Next steps
- Learn how to use Studio 3T with Azure Cosmos DB's API for MongoDB.
- Learn how to use Robo 3T with Azure Cosmos DB's API for MongoDB.
- Explore MongoDB samples with Azure Cosmos DB's API for MongoDB.
- Trying to do capacity planning for a migration to Azure Cosmos DB? You can use information about your existing database cluster for capacity planning.
- If all you know is the number of vcores and servers in your existing database cluster, read about estimating request units using vCores or vCPUs
- If you know typical request rates for your current database workload, read about estimating request units using Azure Cosmos DB capacity planner