A new reinforcement learning optimizer called LIGHT uses dynamic graph attention and logarithmic reward shaping to cut query ...

Query optimisation in distributed database systems addresses the challenge of selecting an efficient execution plan across multiple networked nodes. Owing to the combinatorial explosion of possible ...

“SQL on everything” is the tagline associated with Presto, the query engine that was initially developed by Facebook to rapidly analyze massive amounts of data — particularly data that lay scattered ...

This book aims to give you the tools and knowledge to get peak performance from your queries, how does it fare? The book, which is largely an update to the author’s Microsoft SQL Server 2014 Query ...

Cloud database indexing improves query performance and helps backend teams build reliable systems that scale under production ...

Prior to SQL Server 2017, query processing was a monolithic process. The SQL Server query optimizer would first construct a query plan for a batch of T-SQL code, a stored procedure, or function and ...

In part 1 of my SQL Server 2022 features series, you learned about the improvements to the cardinality estimator component of query optimization. In this installment, you will learn about another ...

Generative engine optimization (GEO) represents a shift from optimizing for keyword-based ranking systems to optimizing for how generative search engines interpret and assemble information. While the ...

This chapter excerpt on Parallel SQL (download PDF) is taken from the book Oracle Performance Survival Guide: A Systematic Approach to Database Optimization. Get pertinent information on optimizing ...