Abstract: This article addresses the issue of database performance, specifically the execution of SQL queries. Solving this problem is essential for improving the efficiency of information systems.
Have you ever found yourself staring at a spinning wheel, waiting for your Power Query to refresh, only to wonder if there’s a better way? For anyone working with large datasets, refresh delays aren’t ...
ECU tuning is one of the easiest ways to get some more horsepower out of your engine in modern cars. The ECU, or the engine control unit, is essentially the brains of the vehicle, and it controls all ...
Google’s Robby Stein shares new details about the query fan-out technique in AI Mode, explaining how Google generates and executes its own queries. Google’s query fan-out technique issues multiple ...
With native support for Oracle Databases, the MCP server will allow developers to build AI agents that can autonomously query, reason, and generate insights without custom integration layers. Oracle ...
-- This trigger updates the salary after the record is inserted.
It’s not uncommon for a laptop to lose some of its pep over time. The good news is that there is often something you can do about it — whether that means updating drivers, goosing the processor ...
Linux is a powerful and flexible operating system, widely used in servers, embedded systems, and even personal computers. However, even the best-configured systems can face performance bottlenecks ...
Autonomous index tuning (“auto-indexing” for short) has recently started being supported by cloud database service providers. Index tuners rely on query optimizer’s cost estimates to recommend indexes ...
M.Sc. C.S. University of Belgrade, Serbia; MCSA – Microsoft Certified Solutions Associate (C#, ASP.NET MVC); CodeProject MVP (x2 years); C#-Corner MVP (x3 years ...
Existing index tuners typically rely on the “what if” API provided by the query optimizer to estimate the execution cost of a query on top of an index configuration. Such cost estimates can be ...
Workload characterization in DBMS tuning involves analyzing query composition and runtime statistics. Query-level approaches include features from query text, query plans, and data distribution, used ...