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You can use CData Connect AI to query Redis data through a SQL Server interface. Follow the procedure below to create a virtual database for Redis in Connect AI and start querying using Node.js.
CData Connect AI provides a pure MySQL, cloud-to-cloud interface for Redis, allowing you to easily query live Redis 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 Redis, leveraging server-side processing to quickly return Redis data.
Connectivity to Redis from NodeJS is made possible through CData Connect AI. To work with Redis data from NodeJS, we start by creating and configuring a Redis connection.
Set the following connection properties to connect to a Redis instance:
Set to negotiate SSL/TLS encryption when you connect.
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 Redis data from Node.js.
The following example shows how to define a connection and execute queries to Redis with the SQL Server module. You will need the following information:
Connect to Redis 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: 'Redis1'
}
}
sql.connect(config, err => {
if(err){
throw err ;
}
new sql.Request().query('SELECT * FROM Customers', (err, result) => {
console.dir(result)
})
});
sql.on('error', err => {
console.log("SQL Error: " ,err);
})
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