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You can use CData Connect AI to query Splunk data through a SQL Server interface. Follow the procedure below to create a virtual database for Splunk in Connect AI and start querying using Node.js.
CData Connect AI provides a pure MySQL, cloud-to-cloud interface for Splunk, allowing you to easily query live Splunk 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 Splunk, leveraging server-side processing to quickly return Splunk data.
Connectivity to Splunk from NodeJS is made possible through CData Connect AI. To work with Splunk data from NodeJS, we start by creating and configuring a Splunk connection.
To authenticate requests, set the , , and properties to valid Splunk credentials. The port on which the requests are made to Splunk is port 8089.
The data provider uses plain-text authentication by default, since the data provider attempts to negotiate TLS/SSL with the server.
If you need to manually configure TLS/SSL, see Getting Started -> Advanced Settings in the data provider help documentation.
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 Splunk data from Node.js.
The following example shows how to define a connection and execute queries to Splunk with the SQL Server module. You will need the following information:
Connect to Splunk 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: 'Splunk1'
}
}
sql.connect(config, err => {
if(err){
throw err ;
}
new sql.Request().query('SELECT * FROM DataModels', (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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