It would obviously be a lot of work to design and validate a solution! Thankfully, we already have a proposal with these goals that has been in development for years: the WebAssembly Component Model.
The efficiency depends on the query size relative to the data distribution. A small query in a sparse region prunes almost everything. A query that covers the whole space prunes nothing (because every node overlaps), degenerating to a brute-force scan. The quadtree gives you the most benefit when your queries are spatially local, which is exactly the common case for map applications, game physics, and spatial databases.
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IBM 回应 AI 冲击：现代化远不止改代码
Jupiter, Saturn, Venus, Mercury, Neptune and Uranus will all be visible at same time in curved line across sky
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Netflix’s leadership thinks the Warner Bros. deal won’t be like other big media mergers.
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