Query Google Data Catalog Data as a MySQL Database in Node.js

You can use the SQL Gateway from the ODBC Driver for Google Data Catalog to query Google Data Catalog data through a MySQL interface. Follow the procedure below to start the MySQL remoting service of the SQL Gateway and start querying using Node.js.

Connect to Google Data Catalog Data

If you have not already done so, provide values for the required connection properties in the data source name (DSN). You can use the built-in Microsoft ODBC Data Source Administrator to configure the DSN. This is also the last step of the driver installation. See the "Getting Started" chapter in the help documentation for a guide to using the Microsoft ODBC Data Source Administrator to create and configure a DSN.

Google Data Catalog uses the OAuth authentication standard. Authorize access to Google APIs on behalf on individual users or on behalf of users in a domain.

Before connecting, specify the following to identify the organization and project you would like to connect to:

• OrganizationId: The ID associated with the Google Cloud Platform organization resource you would like to connect to. Find this by navigating to the cloud console.

  Click the project selection drop-down, and select your organization from the list. Then, click More -> Settings. The organization ID is displayed on this page.

• ProjectId: The ID associated with the Google Cloud Platform project resource you would like to connect to.

  Find this by navigating to the cloud console dashboard and selecting your project from the Select from drop-down. The project ID will be present in the Project info card.

When you connect, the OAuth endpoint opens in your default browser. Log in and grant permissions to the application to completes the OAuth process. For more information, refer to the OAuth section in the Help documentation.

Configure the SQL Gateway

See the SQL Gateway Overview to set up connectivity to Google Data Catalog data as a virtual MySQL database. You will configure a MySQL remoting service that listens for MySQL requests from clients. The service can be configured in the SQL Gateway UI.

👁 Creating a MySQL Remoting Service in SQL Gateway (Salesforce is shown)

Query Google Data Catalog from Node.js

The following example shows how to define a connection and execute queries to Google Data Catalog with the mysql module. You will need the following information:

• Host name or address, and port: The machine and port where the MySQL remoting service is listening for MySQL connections.
• Username and password: The username and password of a user you authorized on the Users tab of the SQL Gateway.
• Database name: The DSN you configured for the MySQL remoting service.

Connect to Google Data Catalog data and start executing queries with the code below:

var mysql = require('mysql');
var connection = mysql.createConnection({
 host : 'localhost',
 database : 'CData GoogleDataCatalog Sys',
 port	 : '3306',
 user : 'mysql_user',
 password : 'test'
});
connection.connect();
connection.query('SELECT * FROM Schemas', function(err, rows, fields) {
 if (err) throw err;
 console.log(rows);
});

connection.end();