Imagine your SQL assistant is a rocket, blasting through complex queries. Then one day you realize you're using rocket fuel ...

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Abstract: This work addresses the problem of developing high-performance relational databases through the use of large language models. Language model selection strategies for query optimization tasks ...

Abstract: DataFrame libraries are widely adopted in data science for their flexible, Pythonic interfaces, but their fragmented APIs and unstructured query patterns limit systematic optimization.

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 ...

Query groups uses AI to cluster similar search queries. The new card shows total clicks per group and highlights groups trending up or down. Query groups will roll out over the coming weeks to high ...

One of the things that Windows does behind the scenes is run TRIM on an SSD in your PC. TRIM keeps the SSD in top shape and helps it run at optimal speed. This is done automatically but you can modify ...

Picture this: I’m hunched over a garage floor, scrubbing away at the gunky paint remover I’ve spread over a fire-engine-red paint to make way for the aesthetically-pleasing home gym that’s going to ...

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 ...

Google’s query fan-out technique issues multiple background searches based on initial question. This system is active across AI Mode, Deep Search, and some AI Overview results. The approach relies on ...