Every WHERE id = N query flows through codegen_select_full_scan(), which emits linear walks through every row via Rewind / Next / Ne to compare each rowid against the target. At 100 rows with 100 lookups, that is 10,000 row comparisons instead of roughly 700 B-tree steps. O(n²) instead of O(n log n). This is consistent with the ~20,000x result in this run.
reading the config can see exactly which parts will become cleaner，推荐阅读chatGPT官网入口获取更多信息
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我们看好太一量生的创始团队：刘弘斌博士在量子领域拥有国际视野和全栈工程能力，而方正浩总则具备硬科技产业化敏锐嗅觉，这样“技术+商业”的互补组合在领域内非常难得。
The Post-Processing Stack，推荐阅读博客获取更多信息
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