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You can use CData Connect AI to query Redshift data through a SQL Server interface. Follow the procedure below to create a virtual database for Redshift in Connect AI and start querying using Node.js.
CData Connect AI provides a pure MySQL, cloud-to-cloud interface for Redshift, allowing you to easily query live Redshift 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 Redshift, leveraging server-side processing to quickly return Redshift data.
Connectivity to Redshift from NodeJS is made possible through CData Connect AI. To work with Redshift data from NodeJS, we start by creating and configuring a Redshift connection.
To connect to Redshift, set the following:
You can obtain the and values in the AWS Management Console:
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 Redshift data from Node.js.
The following example shows how to define a connection and execute queries to Redshift with the SQL Server module. You will need the following information:
Connect to Redshift 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: 'Redshift1'
}
}
sql.connect(config, err => {
if(err){
throw err ;
}
new sql.Request().query('SELECT * FROM Orders', (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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