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Crucially, this distribution of border points is agnostic of routing speed profiles. It’s based only on whether a road is passable or not. This means the same set of clusters and border points can be used for all car routing profiles (default, shortest, fuel-efficient) and all bicycle profiles (default, prefer flat terrain, etc.). Only the travel time/cost values of the shortcuts between these points change based on the profile. This is a massive factor in keeping storage down – map data only increased by about 0.5% per profile to store this HH-Routing structure!

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在结构迁移完成后,平台自动启动全量同步任务,将源端所有表数据批量写入目标湖仓。支持并行处理多表、自动分区与压缩优化,提升吞吐效率。系统提供进度监控与失败重试机制,确保数据一致性与任务稳定性。

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