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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.
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.
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.
๐ Configuring a connection (Salesforce is shown)
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.
With the connection configured and a PAT generated, you are ready to connect to Google Directory data 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:
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);
})
Learn more about CData Connect AI or sign up for free trial access:
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