SQL Workbench/J
Elastic Cloud Serverless projects are autoscaled environments, fully managed by Elastic and available on Elastic Cloud. Availability This functionality is generally available and ready for production usage. Serverless interfaces and procedures might differ from classic Elastic Stack deployments. The Elastic Stack includes Elastic's core products such as Elasticsearch, Kibana, Logstash, and Beats. Availability This functionality is generally available and ready for production usage. Unless stated otherwise on the page, this functionality is available when your Elastic Stack is deployed on Elastic Cloud Hosted, Elastic Cloud Enterprise, Elastic Cloud on Kubernetes, and self-managed environments. This documentation corresponds to the latest patch available for each minor version. If you're not using the latest patch, check the release notes for changes.
Serverless
Generally available
Stack
Generally available
You can use the Elasticsearch JDBC driver to access Elasticsearch data from SQL Workbench/J.
Elastic does not endorse, promote or provide support for this application; for native Elasticsearch integration in this product, reach out to its vendor.
- SQL Workbench/J build 125 or higher
- Elasticsearch SQL JDBC driver
Add the Elasticsearch JDBC driver to SQL Workbench/J through Manage Drivers either from the main windows in the File menu or from the Connect window:
Select Elasticsearch profile from the left-hand side (if it is missing check the SQL Workbench/J version or add a new entry to the list through the blank page button in the upper left corner):
Add the JDBC jar (if the driver name hasn’t been picked up already, click on the magnifier button):
With the driver configured, create a new connection profile through File > Connect Window (or Alt+C shortcut):
Select the previously configured driver and set the URL of your cluster using the JDBC syntax. Verify the connection through the Test button - a confirmation window should appear that everything is properly configured.
The setup is complete.
SQL Workbench/J is ready to talk to Elasticsearch through SQL: click on the profile created to execute statements or explore the data:
