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


Query Google Analytics Data as a SQL Server Database in Node.js

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

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

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

Configure Google Analytics Connectivity for NodeJS

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

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. ๐Ÿ‘ Adding a Connection
  3. Select "Google Analytics" from the Add Connection panel
  4. ๐Ÿ‘ Selecting a data source
  5. Google Analytics uses OAuth to authenticate. Click "Sign in" to authenticate with Google Analytics. ๐Ÿ‘ Authenticating with OAuth (Salesforce is shown).
  6. Navigate to the Permissions tab in the Add Google Analytics 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 Google Analytics data from Node.js.

Query Google Analytics from Node.js

The following example shows how to define a connection and execute queries to Google Analytics 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 Google Analytics (GoogleAnalytics1)

Connect to Google Analytics 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: 'GoogleAnalytics1'
	}
}

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

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