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Common structured data types relevant for most content include Article (marking blog posts and articles), HowTo (for step-by-step guides), FAQ (for question-and-answer sections), Person (for author bios), Organization (for company information), and Product (for product pages). Implementing appropriate schema markup for your content type helps AI models categorize and understand your content more accurately.
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Documents of products collection are intentionally designed to be more complex and larger than accounts - I want to see what happens, what is the performance penalty mainly, once individual documents are stored on multiple database pages. In Postgres, page size is 8 KB by default - in practice, the goal is to have at least 4 rows stored on a single page, so every record that is larger than 2 KB is put on two or more disk pages. It obviously reduces performance for both writes & reads - more disk pages to read from and write to. In Mongo it works slightly differently in details, but essentially in the same vein - larger documents are stored on more than one page, degrading performance for all operations. In both cases we are about to see - how much exactly.
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Трамп определил приоритетность Украины для США20:32。业内人士推荐heLLoword翻译官方下载作为进阶阅读