Google has overhauled Firestore’s query engine, introducing "Pipeline operations" that enable complex server-side aggregations and array unnesting. The update shifts Firestore Enterprise toward an ...

Following an investigation by The Guardian that found Google AI Overviews offering misleading information in response to certain health-related queries, the company appears to have removed the AI ...

This is available in Search Console Insights and gives you a quick way to see the main topics your website is about. Google added Query groups to the Search Console Insights report. Query groups ...

In a modern enterprise data environment, the increasing volume of data, distributed architecture, and complex application dependencies challenge traditional query-tuning methods. Observability ...

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 ...

Perplexity received 780 million queries in May, CEO Aravind Srinivas shared onstage at Bloomberg’s Tech Summit on Thursday. Srinivas said that the AI search engine is seeing more than 20% growth month ...

What is the default strategy for planning and optimizing queries with joins: How does the engine decide the physical join type (e.g., sort-merge join vs. hash join)? How is the join order determined?

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 ...

Thomas LaRock: "Without a basic understanding of wait events and how the occur, you will waste a lot of time trying and guessing at how to improve the performance of a query." Optimizing SQL Server ...

Modern database systems rely on cost-based query optimizers to come up with good execution plans for input queries. Such query optimizers rely on cost models to estimate the costs of candidate query ...