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.
if(h->ref || (data_bytes+sizeof(union alloc_header)) > (16LL<<h->bucket)) {
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Samsung Galaxy S25，这一点在服务器推荐中也有详细论述
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