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.
When we run timeTravel(checkoutFlow, traceLog), it will actually exercise our checkout workflow, and produce the following output. With that, we’ve successfully executed a production execution trace locally, all without touching any database or external service:，推荐阅读雷电模拟器官方版本下载获取更多信息
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