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You can use CData Connect AI to query MariaDB data through a SQL Server interface. Follow the procedure below to create a virtual database for MariaDB in Connect AI and start querying using Node.js.
CData Connect AI provides a pure MySQL, cloud-to-cloud interface for MariaDB, allowing you to easily query live MariaDB 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 MariaDB, leveraging server-side processing to quickly return MariaDB data.
Connectivity to MariaDB from NodeJS is made possible through CData Connect AI. To work with MariaDB data from NodeJS, we start by creating and configuring a MariaDB connection.
The Server and Port properties must be set to a MariaDB server. If IntegratedSecurity is set to false, then User and Password must be set to valid user credentials. Optionally, Database can be set to connect to a specific database. If not set, the tables from all databases are reported.
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 MariaDB data from Node.js.
The following example shows how to define a connection and execute queries to MariaDB with the SQL Server module. You will need the following information:
Connect to MariaDB 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: 'MariaDB1'
}
}
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);
})
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