Method and system for processing tile images

Abstract

The present invention provides a tile graph processing method, comprising: obtaining the co-occurrence times of the first tile graph and the second tile graph according to historical request data and the first tile graph; The number of times and the preset co-occurrence threshold, merging the first tile map and the second tile map to obtain a third tile map; storing the third tile map; storing the first tile map The first corresponding relationship with the third tile graph, and the second corresponding relationship between the second tile graph and the third tile graph; the present invention also provides a tile graph processing system. According to the technical solution provided by the present invention, the disk fragmentation degree of the hard disk storing the tile map can be reduced.

Description

[0001] 【Technical field】 [0002] The present invention relates to the field of Internet applications, in particular to a tile image processing method and system. [0003] 【Background technique】 [0004] In the prior art, in the map application system, the server divides the electronic map into tiles of the same size. After receiving the request from the client, it sends the tile corresponding to the requested area to the client. The pictures are assembled into an electronic map and displayed to the user. [0005] At present, the server stores tile images in both the hard disk and the cache, wherein all the tile images obtained after cutting the electronic map are stored in the hard disk, and each tile image is stored in the form of a separate file; The speed of reading the tile map from the hard disk is slower than the speed of reading the tile map from the cache. Therefore, at the same time, some tile maps that have been requested most frequently in the recent period of time...

AI Technical Summary

Problems solved by technology

[0006] However, each tile map is stored separately in the hard disk, which will lead to a large number of files in the hard disk, and a high degree of disk fragmentation in the hard disk, which slows down the processing speed of the server; The amount of stored index information is large, and the server needs to traverse a large amount of index information when querying the tile map, which makes the efficiency of querying the tile map low

The tile images stored in the cache are some tile images that have been requested more recently, but for more historical request data, the number of requests for these tile images is generally not the most requested tile image, therefore, The cache stores a lot of tile images with relatively few requests in the historical request data, wasting a lot of storage space

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