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You can use CData Connect AI to query Google Contacts data through a SQL Server interface. Follow the procedure below to create a virtual database for Google Contacts in Connect AI and start querying using Node.js.
CData Connect AI provides a pure MySQL, cloud-to-cloud interface for Google Contacts, allowing you to easily query live Google Contacts 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 Contacts, leveraging server-side processing to quickly return Google Contacts data.
Connectivity to Google Contacts from NodeJS is made possible through CData Connect AI. To work with Google Contacts data from NodeJS, we start by creating and configuring a Google Contacts connection.
You can connect to Google APIs on behalf of individual users or on behalf of a domain. Google uses the OAuth authentication standard. See the "Getting Started" section of the help documentation for a 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 Contacts data from Node.js.
The following example shows how to define a connection and execute queries to Google Contacts with the SQL Server module. You will need the following information:
Connect to Google Contacts 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: 'GoogleContacts1'
}
}
sql.connect(config, err => {
if(err){
throw err ;
}
new sql.Request().query('SELECT * FROM Friends', (err, result) => {
console.dir(result)
})
});
sql.on('error', err => {
console.log("SQL Error: " ,err);
})
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