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DataGrip is a database IDE that allows SQL developers to query, create, and manage databases. When paired with the CData JDBC Driver for Splunk, DataGrip can work with live Splunk data. This article shows how to establish a connection to Splunk data in DataGrip and use the table editor to load Splunk data.
The steps below describe how to create a new Data Source in DataGrip for Splunk.
For assistance in constructing the JDBC URL, use the connection string designer built into the Splunk JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.splunk.jar
Fill in the connection properties and copy the connection string to the clipboard.
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.
π Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)jdbc:splunk:user=MyUserName;password=MyPassword;URL=MyURL;InitiateOAuth=GETANDREFRESH;
At this point, you will see the data source in the Data Explorer.
To browse through the Splunk entities (available as tables) accessible through the JDBC Driver, expand the Data Source.
π Exploring the data (Salesforce is shown.)To execute queries, right click on any table and select "New" -> "Query Console."
π Opening a new Query Console.In the Console, write the SQL query you wish to execute. For example:
SELECT Name, Owner FROM DataModelsπ Querying with SQL (Salesforce is shown.)
Download a free, 30-day trial of the CData JDBC Driver for Splunk and start working with your live Splunk data in DataGrip. Reach out to our Support Team if you have any questions.
Download a free trial of the Splunk Driver to get started:
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