Query Dynamics 365 Business Central Data as a SQL Server Database in Node.js

You can use CData Connect AI to query Dynamics 365 Business Central data through a SQL Server interface. Follow the procedure below to create a virtual database for Dynamics 365 Business Central in Connect AI and start querying using Node.js.

CData Connect AI provides a pure MySQL, cloud-to-cloud interface for Dynamics 365 Business Central, allowing you to easily query live Dynamics 365 Business Central data in Node.js — 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 Dynamics 365 Business Central, leveraging server-side processing to quickly return Dynamics 365 Business Central data.

Configure Dynamics 365 Business Central Connectivity for NodeJS

Connectivity to Dynamics 365 Business Central from NodeJS is made possible through CData Connect AI. To work with Dynamics 365 Business Central data from NodeJS, we start by creating and configuring a Dynamics 365 Business Central connection.

1. Log into Connect AI, click Sources, and then click Add Connection
👁 Adding a Connection

2. Select "Dynamics 365 Business Central" from the Add Connection panel
👁 Selecting a data source

3. Enter the necessary authentication properties to connect to Dynamics 365 Business Central.

   To authenticate to Dynamics 365 Business Central, you must select an AuthScheme and provide the required properties (OAuth by default).

   All Methods

   Specify the . If you have multiple companies in your organization, you must also specify the to indicate which company you would like to connect to. does not need to be specified if you have only one company.

   Access Key

   To authenticate with an Access Key, set AuthScheme to "AccessKey" and provide the and properties.

   To obtain the and values, navigate to the Users page in Dynamics 365 Business Central and then click on Edit. The User Name and Web Service Access Key values are what you will enter as the and connection string properties. Note that the User Name is not your email address. It is a shortened user name.

   If you wish to authenticate through other methods, refer to the Help documentation.

   👁 Configuring a connection (Salesforce is shown)
   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add Dynamics 365 Business Central Connection page and update the User-based permissions. 👁 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. 👁 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 Dynamics 365 Business Central data from Node.js.

Query Dynamics 365 Business Central from Node.js

The following example shows how to define a connection and execute queries to Dynamics 365 Business Central 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 Dynamics 365 Business Central (D365BusinessCentral1)

Connect to Dynamics 365 Business Central 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: 'D365BusinessCentral1'
	}
}

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

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