Query Adobe Experience Manager Data as a SQL Server Database in Node.js

Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Execute SQL Server queries against Adobe Experience Manager data from Node.js.

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

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

Configure Adobe Experience Manager Connectivity for NodeJS

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

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

    The driver connects to Adobe Experience Manager (AEM) instances that expose the JCR repository over WebDAV. It supports both on-premises AEM and AEM as a Cloud Service deployments.

    To establish a connection, set the following properties:

    • URL: The WebDAV-enabled JCR server URL.
      • AEM as a Cloud Service: https://author-pXXXXX-eXXXXX.adobeaemcloud.com/crx/server
      • Local development: http://localhost:4502/crx/server
    • User: Your AEM username.
    • Password: Your AEM password.

    Note: Tables are dynamically generated based on the JCR repository structure. Ensure that the configured user has sufficient permissions to access the required content paths in the AEM repository.

    Configuring a connection (Salesforce is shown)
  6. Click Save & Test
  7. Navigate to the Permissions tab in the Add Adobe Experience Manager 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 Adobe Experience Manager data from Node.js.

Query Adobe Experience Manager from Node.js

The following example shows how to define a connection and execute queries to Adobe Experience Manager 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 Adobe Experience Manager (AdobeExperienceManager1)

Connect to Adobe Experience Manager 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: 'AdobeExperienceManager1'
	}
}

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

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

Ready to get started?

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