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You can use the SQL Gateway from the ODBC Driver for Splunk to query Splunk data through a MySQL interface. Follow the procedure below to start the MySQL remoting service of the SQL Gateway and start querying using Node.js.
If you have not already done so, provide values for the required connection properties in the data source name (DSN). You can use the built-in Microsoft ODBC Data Source Administrator to configure the DSN. This is also the last step of the driver installation. See the "Getting Started" chapter in the help documentation for a guide to using the Microsoft ODBC Data Source Administrator to create and configure a DSN.
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.
See the SQL Gateway Overview to set up connectivity to Splunk data as a virtual MySQL database. You will configure a MySQL remoting service that listens for MySQL requests from clients. The service can be configured in the SQL Gateway UI.
👁 Creating a MySQL Remoting Service in SQL Gateway (Salesforce is shown)
The following example shows how to define a connection and execute queries to Splunk with the mysql module. You will need the following information:
Connect to Splunk data and start executing queries with the code below:
var mysql = require('mysql');
var connection = mysql.createConnection({
host : 'localhost',
database : 'CData Splunk Sys',
port : '3306',
user : 'mysql_user',
password : 'test'
});
connection.connect();
connection.query('SELECT * FROM DataModels', function(err, rows, fields) {
if (err) throw err;
console.log(rows);
});
connection.end();
Download a free trial of the Splunk ODBC Driver to get started:
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👁 Splunk IconThe Splunk ODBC Driver is a powerful tool that allows you to connect with live Splunk, directly from any applications that support ODBC connectivity.
Access Splunk like you would a database - read, write, and update Datamodels, Datasets, SearchJobs, etc. through a standard ODBC Driver interface.