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.
const compressed = Stream.pullSync(source, zlibCompressSync);
When adapting to a ReadableStream, a bit more work is required since the alternative approach yields batches of chunks, but the adaptation layer is as easily straightforward:，推荐阅读Line官方版本下载获取更多信息
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