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URL: https://www.cdata.com/kb/tech/googledirectory-cloud-nodejs.rst

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


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

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

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

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

Configure Google Directory Connectivity for NodeJS

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

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. ๐Ÿ‘ Adding a Connection
  3. Select "Google Directory" from the Add Connection panel
  4. ๐Ÿ‘ Selecting a data source
  5. Enter the necessary authentication properties to connect to Google Directory.

    Google uses the OAuth authentication standard. You can authorize the data provider to access Google Spreadsheets as an individual user or with a Google Apps Domain service account. See the Getting Started section of the data provider help documentation for an authentication guide. ๐Ÿ‘ Configuring a connection (Salesforce is shown)

  6. Click Save & Test
  7. Navigate to the Permissions tab in the Add Google Directory 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 Directory data from Node.js.

Query Google Directory from Node.js

The following example shows how to define a connection and execute queries to Google Directory 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 Directory (GoogleDirectory1)

Connect to Google Directory 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: 'GoogleDirectory1'
	}
}

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

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