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You can use CData Connect AI to query Quickbase data through a SQL Server interface. Follow the procedure below to create a virtual database for Quickbase in Connect AI and start querying using Node.js.
CData Connect AI provides a pure MySQL, cloud-to-cloud interface for Quickbase, allowing you to easily query live Quickbase 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 Quickbase, leveraging server-side processing to quickly return Quickbase data.
Connectivity to Quickbase from NodeJS is made possible through CData Connect AI. To work with Quickbase data from NodeJS, we start by creating and configuring a Quickbase connection.
To authenticate with user credentials, specify the following connection properties:
To authenticate with a user token, specify the following connection properties:
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 Quickbase data from Node.js.
The following example shows how to define a connection and execute queries to Quickbase with the SQL Server module. You will need the following information:
Connect to Quickbase 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: 'QuickBase1'
}
}
sql.connect(config, err => {
if(err){
throw err ;
}
new sql.Request().query('SELECT * FROM SampleTable_1', (err, result) => {
console.dir(result)
})
});
sql.on('error', err => {
console.log("SQL Error: " ,err);
})
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