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Spatial-temporal fragment storage method for distributed spatial database

A spatial data, distributed technology, applied in database indexing, data processing input/output process, electrical digital data processing, etc., can solve problems affecting database storage performance, difficult to meet high-performance storage requirements for massive spatial data, etc. Meet the requirements of query performance, good social and economic benefits, and high feasibility

Active Publication Date: 2017-03-22
自然资源部国土卫星遥感应用中心
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  • Application Information

AI Technical Summary

Problems solved by technology

However, with the advent of the era of big data, the update speed of spatial data is increasing, and the timeliness requirements of data are also increasing. The existing spatial data fragmentation method fails to fully consider the timeliness of data, and it is difficult to meet the high performance of massive spatial data. storage requirements
[0005] In terms of data fragmentation of distributed spatial databases, at present, domestic and foreign related research mainly focuses on the spatial characteristics of spatial data, but in the big data environment, spatial databases are also highly time-sensitive, and existing fragmentation rules Considering the data space characteristics while taking into account the timeliness of the data, resulting in a large amount of outdated data in the database nodes, affecting the storage performance of the database

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  • Spatial-temporal fragment storage method for distributed spatial database
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  • Spatial-temporal fragment storage method for distributed spatial database

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Embodiment Construction

[0040] The present invention will be described more fully hereinafter with reference to the accompanying drawings, in which exemplary embodiments of the invention are illustrated.

[0041]The technical solution adopted by the present invention to solve the above-mentioned technical problems is: use the time information and spatial information of the spatial object as the basis for data fragmentation, determine the interest area and interest time of the spatial data according to the use frequency of the data, and simultaneously The interest data satisfying the interest area and interest time are stored in fragments on multiple storage nodes, and the rest of the data is stored on a certain storage node. During data query, the frequently used interest data is stored on multiple storage nodes, so that multi-node parallel query can be realized. In addition, the less frequently used non-interest data is stored on a single storage node, which will not Affects query performance on dat...

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Abstract

The invention discloses a spatial-temporal fragment storage method for a distributed spatial database. The method comprises a data storage step and a data migration step; spatial-temporal characteristics of spatial data are fully considered in data storage of the distributed spatial database; spatial-temporal information of the spatial data is fused in data fragments of the distributed database; the server performance is fully utilized while a plurality of database servers are subjected to a parallel query; and the change of interest conditions of the data is considered through the data migration step. The practice proves that the method provided by the invention has relatively high feasibility and can meet the requirement of query performance in massive spatial data storage.

Description

technical field [0001] The invention relates to the technical field of data storage, in particular to a time-space fragmentation storage method of a distributed spatial database. Background technique [0002] Distributed database refers to the use of computer high-speed network to form multiple physically dispersed databases into a logically unified large database. The basic idea is to disperse the data in the original centralized database to multiple data storage nodes, so as to increase the total amount of data storage and improve the efficiency of concurrent access. There are two main methods of data storage in distributed databases: fragmentation and replication. Fragmentation is to divide data into multiple fragments, and each fragment is stored on a different node, thereby realizing distributed access to data. Replication is to copy the data in one database to another node database to realize multi-copy storage of data to ensure data security and high system availabil...

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Application Information

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IPC IPC(8): G06F17/30G06F3/06
CPCG06F3/0647G06F3/067G06F16/22G06F16/2282
Inventor 史绍雨汪汇兵唐新明欧阳斯达孙晶何昭宁杨超
Owner 自然资源部国土卫星遥感应用中心
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