VOOZH about

URL: https://www.cdata.com/kb/tech/mongodb-cloud-nodejs.rst

โ‡ฑ Query MongoDB Data as a SQL Server Database in Node.js


Query MongoDB Data as a SQL Server Database in Node.js

๐Ÿ‘ Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Execute SQL Server queries against MongoDB data from Node.js.

You can use CData Connect AI to query MongoDB data through a SQL Server interface. Follow the procedure below to create a virtual database for MongoDB in Connect AI and start querying using Node.js.

CData Connect AI provides a pure MySQL, cloud-to-cloud interface for MongoDB, allowing you to easily query live MongoDB data in Node.js โ€” without replicating the data to a natively supported database. As you query data in Node.js, CData Connect AI pushes all supported SQL operations (filters, JOINs, etc) directly to MongoDB, leveraging server-side processing to quickly return MongoDB data.

About MongoDB Data Integration

Accessing and integrating live data from MongoDB has never been easier with CData. Customers rely on CData connectivity to:

MongoDB's flexibility means that it can be used as a transactional, operational, or analytical database. That means CData customers use our solutions to integrate their business data with MongoDB or integrate their MongoDB data with their data warehouse (or both). Customers also leverage our live connectivity options to analyze and report on MongoDB directly from their preferred tools, like Power BI and Tableau.

For more details on MongoDB use case and how CData enhances your MongoDB experience, check out our blog post: The Top 10 Real-World MongoDB Use Cases You Should Know in 2024.


Getting Started


Configure MongoDB Connectivity for NodeJS

Connectivity to MongoDB from NodeJS is made possible through CData Connect AI. To work with MongoDB data from NodeJS, we start by creating and configuring a MongoDB connection.

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. ๐Ÿ‘ Adding a Connection
  3. Select "MongoDB" from the Add Connection panel
  4. ๐Ÿ‘ Selecting a data source
  5. Enter the necessary authentication properties to connect to MongoDB.

    Set the Server, Database, User, and Password connection properties to connect to MongoDB. To access MongoDB collections as tables you can use automatic schema discovery or write your own schema definitions. Schemas are defined in .rsd files, which have a simple format. You can also execute free-form queries that are not tied to the schema.

    ๐Ÿ‘ Configuring a connection (Salesforce is shown)
  6. Click Save & Test
  7. Navigate to the Permissions tab in the Add MongoDB Connection page and update the User-based permissions. ๐Ÿ‘ Updating permissions

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

  1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
  2. On the Settings page, go to the Access Tokens section and click Create PAT.
  3. Give the PAT a name and click Create. ๐Ÿ‘ Creating a new PAT
  4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured and a PAT generated, you are ready to connect to MongoDB data from Node.js.

Query MongoDB from Node.js

The following example shows how to define a connection and execute queries to MongoDB with the SQL Server module. You will need the following information:

  • server: tds.cdata.com
  • port: 14333
  • user: a Connect AI user (e.g. [email protected])
  • password: the PAT for the above user
  • database: The connection you configured for MongoDB (MongoDB1)

Connect to MongoDB data and start executing queries with the code below:

var sql = require('mssql')
var config = {
	server: 'tds.cdata.com',
	port: 14333, 
	user: '[email protected]', //update me
	password: 'CONNECT_USER_PAT', //update me	
	options: {
		encrypt: true,
		database: 'MongoDB1'
	}
}

sql.connect(config, err => { 
 if(err){
 throw err ;
 }
 new sql.Request().query('SELECT * FROM restaurants', (err, result) => {
 console.dir(result)
 })
 
});

sql.on('error', err => {
 console.log("SQL Error: " ,err);
})