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.
维普
万方数据