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.
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I also tried some generative AI apps, even though that’s not really something I’m interested in. For apps like Apple’s own Image Playground, the M4 is extremely speedy. It ripped through my goofy queries (an orange kitten dressed up like an astronaut) in a matter of seconds. When I compared it to the iPad Pro M5, the Air barely lagged behind it. However, the M4 couldn’t quite keep up with more advanced image generation tools. The Draw Things iPad app lets you download and run a host of local models to create images, and the M4 definitely couldn’t keep up with the M5. The iPad Pro M5 was typically more than twice as fast as the Air. We already knew the M5 was an AI beast, so I’m not knocking the Air for its performance at all — it’s just worth knowing that if you really want to push the envelope, you’ll probably be better off with an iPad Pro.。新收录的资料是该领域的重要参考