Using OpenLink Virtuoso RDBMS to Find SQL Query Optimization Strategies

Hello everyone,

I am working on a project using OpenLink Virtuoso RDBMS & I am looking for some advice on optimizing SQL queries for better performance. My dataset has grown considerably & I have noticed some queries taking longer to execute than expected. I am dealing with complex JOIN operations and large datasets with multiple indexes.

What are some best practices to improve query execution times in Virtuoso?? Should I focus more on adjusting the query structure or are there specific indexing or caching strategies that are most effective with Virtuoso? There are any built in tools or third party utilities you recommend for monitoring query performance in real time?

While researching, I came across discussions about the history of generative AI Are there any parallels or insights from AI advancements that might influence query optimization techniques in RDBMS??

As well, I found these resources when doing research on this; Customizing Virtuoso SPARQL Query Optimization using Pragmas and Inline Query Options & if anyone have any resources, tutorials or personal experiences please share with me, It would be greatly appreciated!!

Thank you……. :slight_smile:

In your project is Virtuoso being used purely as a SQL Relational Database ?

Have you reviewed the Virtuoso Performance Tuning guide documentation ?

What is the output of running the Virtuoso status() command on your database when encountering performance issues ?

If you have specific queries with performance issues the query explain() or profile() output would be useful to see the query plan being used for execution.

Virtuoso also has Query Logging to enable query execution to be profiled to see where time is being spent during execution.