The traditional parallel upload method for massive spatial data directly calculates the spatial data upload coefficient index without partitioning the spatial data,resulting in low upload efficiency in traditional methods.Propose a parallel upload method for massive spatial data based on BS architecture.Divide spatial data,calculate spatial data upload coefficient indicators based on the partition results,and preprocess spatial data.Based on the B/S architecture spatial data upload process,achieve parallel upload of massive spatial data.Design comparative experiments,and the experimental results show that this research method has higher upload efficiency and practical application value.
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