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。关于这个话题，新收录的资料提供了深入分析
Users new to ClickHouse often struggle to fully understand its primary key concepts. Unlike B(+)-Tree-based OLTP databases, which are optimized for fast location of specific rows, ClickHouse utilizes a sparse index designed for millions of inserted rows per second and petabyte-scale datasets. In contrast to OLTP databases, this index relies on the data on disk being sorted for fast identification of groups of rows that could possibly match a query - a common requirement in analytical queries. The index, in effect, allows the matching sections of part files to be rapidly identified before they are streamed into the processing engine. For more detail on the layout of the data on disk, we highly recommend this guide.
«Удар по ребяткам из Европы». Названы хозяева конфискованных у украинских инкассаторов в Венгрии денег8 марта 2026
The other thing that was really interesting about that conversation is that you were just about one year into the job, and you were in the middle of a reorganization of the company. And you were also about to sell eOne, which you have now done. It was actually one of my favorite episodes at the time because you talked a lot about reorganizing and restructuring a hundred-year-old company. Since then, you’ve completed that restructure. I want to talk to you about how that’s going, and if there are any more changes to come. You’re also moving the company from Rhode Island to Boston. I’m curious about that decision.