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

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

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

Configure SendPulse Connectivity for NodeJS

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

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

2. Select "SendPulse" from the Add Connection panel

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

   Start by setting the Profile connection property to the location of the SendPulse Profile on disk (e.g. C:\profiles\SendPulse.apip). Next, set the ProfileSettings connection property to the connection string for SendPulse (see below).

   SendPulse API Profile Settings

   Log into your SendPulse account, navigate to Profile > Account Settings > API, and retrieve your API ID and Secret to use as your OAuth Client ID and Secret.

   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add SendPulse Connection page and update the User-based 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.
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 SendPulse data from Node.js.

Query SendPulse from Node.js

The following example shows how to define a connection and execute queries to SendPulse 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 SendPulse (API1)

Connect to SendPulse 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: 'API1'
	}
}

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

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