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Study of Technical Analysis and Optimization Method on Mainstream SDE

Author: XiaKai
Tutor: LiuNan；LiuRenYi
School: Zhejiang University
Course: Cartography and Geographic Information Systems
Keywords: Spatial Database Engine Spatial Database Management Systems Seamless integration of multi-source spatial data Adjust and optimize the Massive spatial data
CLC: P208
Type: Master's thesis
Year: 2005
Downloads: 288
Quote: 2
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Abstract


Organizations manage the vast amounts of spatial data technology - performance study of the spatial database engine has been a focus of concern is the field of GIS technology . At present , how fast , convenient and effective operation of the massive spatial data , mainly in the following questions: 1) the lack of really effective experimental data reflect the spatial database engine operating massive spatial data performance ; 2 ) the spatial database engine multi-source spatial data integration performance is not prominent ; 3 ) spatial database engine is very complex , difficult for developers and users to make it run in the best condition . Solve these problems, first designed to test spatial database engine operating massive data experiments , and analyze the reasons for the differences of Oracle Spatial and ArcSDE performance . Pursuant to develop and design the following optimization methods : 1. Designed multi - source spatial data integration , the body of the method is the multi-source massive spatial data interface for heterogeneous database interface bridge mode - based multi-source data seamlessly integrated technology . The interface will be different spatial database engine management of multi-source data object-oriented way to encapsulate and provide a unified object-oriented class structure to the upper application . 2 the adjustment and optimization of the design space database engine method , the method to mass data experiment is based on the first generic database management systems and spatial database engines adjustment and optimization, to achieve the object of the play space database for maximum engine performance , and then made ??based on the display demand massive spatial data filtering mechanism , aims to improve the GIS system to load the massive spatial data speed . Studies have shown that these experiments and optimization methods in the construction of large-scale land-use management information systems to obtain a better application , will also give GIS users and developers to provide useful help .

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CLC: > Astronomy,Earth Sciences > Surveying and Mapping > General issues > Mapping database and information system
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