A storage method and reading method of massive tile data

Abstract

The invention discloses a storage method and a reading method for mass tile data. The storage method comprises the following steps: generating a data block of a primary index file according to hierarchy information of acquired tile data; further partitioning the data block of the primary index file into data grids to obtain the position coordinate of each unit grid in the data block; generating a secondary index file which corresponds to the tile data according to the position coordinate and blocking information; storing the tile data according to a first-in-first-storage way; storing the primary index file and the secondary index file which are generated correspondingly every time target tile data are stored and written in. According to the storage method and the reading method for mass tile data provided by the invention, a hierarchy and blocking access strategy is adopted, so that the storage position of tile data can be described accurately, scientific organization of data structures and data storage space are guaranteed, storage, reading and writing of super large volume of data are supported, the I / O (Input / Output) processing efficiency of data files is increased, and the data retrieval time is reduced greatly.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a method for storing and reading massive tile data. Background technique [0002] Digital Earth is a proposal related to geographic information system ( Geographic Information System, GIS), network, virtual reality and other high-tech closely related concepts. The technical problems to be solved by Digital Earth include computer science, massive data storage, satellite remote sensing technology, broadband network, interoperability, metadata, etc. The proposal of digital earth has led to mass data becoming a commonly used term widely accepted by the GIS community. With the research of digital earth, the expansion of geographic information system application fields, the dynamics of research on various issues, and the increase of the scale of digital map data, the amount of spatial data continues to increase, and the amount of data that people need to process is also incre...

AI Technical Summary

Problems solved by technology

This results in defects such as large data storage, difficult query and retrieval, long response time for massive data transfer, and difficult attribute data organization.

The management method of the spatial database adopts the pyramid data organization form, and stores massive satellite images and topographical data in large spatial databases such as SQLServer and Oracle, which makes the scientific data organization, data retrieval and transfer speed, etc. improved to a certain extent. , but due to the shortcomings of the above-mentioned large-scale spatial databases such as data redundancy, large storage space, and difficult data migration, it still cannot meet the requirements for massive data storage and reading.

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