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.
Instead of yielding one chunk per iteration, streams yield Uint8Array[] — arrays of chunks. This amortizes the async overhead across multiple chunks, reducing promise creation and microtask latency in hot paths.
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16:48, 27 февраля 2026Россия
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Jake KwonSeoul correspondent, Seoul
热度攀升,离不开政策支撑。2025年3月,中办、国办印发《提振消费专项行动方案》,提出“发展入境消费”。同年10月,“培育国际消费中心城市,拓展入境消费”被写入“十五五”规划建议。,更多细节参见heLLoword翻译官方下载