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You can use CData Connect AI to query Asana data through a SQL Server interface. Follow the procedure below to create a virtual database for Asana in Connect AI and start querying using Node.js.
CData Connect AI provides a pure MySQL, cloud-to-cloud interface for Asana, allowing you to easily query live Asana 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 Asana, leveraging server-side processing to quickly return Asana data.
Connectivity to Asana from NodeJS is made possible through CData Connect AI. To work with Asana data from NodeJS, we start by creating and configuring a Asana connection.
You can optionally set the following to refine the data returned from Asana.
You must use OAuth to authenticate with Asana. OAuth requires the authenticating user to interact with Asana using the browser. See the "Getting Started" chapter of the help documentation for a guide to using OAuth.
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 Asana data from Node.js.
The following example shows how to define a connection and execute queries to Asana with the SQL Server module. You will need the following information:
Connect to Asana 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: 'Asana1'
}
}
sql.connect(config, err => {
if(err){
throw err ;
}
new sql.Request().query('SELECT * FROM projects', (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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