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This is known as a topological sort — a way of sorting a graph such that we visit all nodes exactly once, and we always visit a node’s dependencies before we visit the node itself. ↩︎，详情可参考有道翻译官网
在他们眼里，AI就是世界的默认界面。就像我们这代人觉得“上网就要打开浏览器”一样自然。。谷歌对此有专业解读
10 monthly gift articles to share，更多细节参见移动版官网
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.