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

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

CData Connect AI provides a pure MySQL, cloud-to-cloud interface for SendGrid, allowing you to easily query live SendGrid 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 SendGrid, leveraging server-side processing to quickly return SendGrid data.

Configure SendGrid Connectivity for NodeJS

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

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

2. Select "SendGrid" from the Add Connection panel
👁 Selecting a data source

3. Enter the necessary authentication properties to connect to SendGrid.

   To make use of all the available features, provide the User and Password connection properties.

   To connect with limited features, you can set the APIKey connection property instead. See the "Getting Started" chapter of the help documentation for a guide to obtaining the API key.

   👁 Configuring a connection (Salesforce is shown)
   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add SendGrid 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 SendGrid data from Node.js.

Query SendGrid from Node.js

The following example shows how to define a connection and execute queries to SendGrid 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 SendGrid (SendGrid1)

Connect to SendGrid 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: 'SendGrid1'
	}
}

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

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