The Experts below are selected from a list of 228 Experts worldwide ranked by ideXlab platform

Xu Wen-qiang - One of the best experts on this subject based on the ideXlab platform.

  • Application of data Partition in query of geo-spatial data
    Journal of Computer Applications, 2010
    Co-Authors: Xu Wen-qiang
    Abstract:

    The paper proposed to use the technology of data Partition to optimize the spatial query performance of geo-spatial data after studying storage and management mechanism of spatial data based on Oracle Spatial.On the foundation of expounding the principle of data Partition,considering applications in practice,taking range Partition for example,carrying out spatial query test respectively to conventional Table and Partition Table,contrasting and analyzing the experiment results again and again.The study proves that data Partition can improve spatial query speed of geo-spatial data.

Zhou Xiao-qin - One of the best experts on this subject based on the ideXlab platform.

Lin Yang - One of the best experts on this subject based on the ideXlab platform.

  • Combination of Partition Table and Grid Index in Large-Scale Spatial Database Query
    2009 First International Conference on Information Science and Engineering, 2009
    Co-Authors: Bo Wan, Lin Yang
    Abstract:

    The performance of retrieval and query of massive spatial data has been a bottleneck in GIS applications. Calculation and determination of the grid cell size is the key to grid index technology which generates obvious effects on improving query performance on large-scale geographic database. This paper studies how the grid cell size impacts on grid index performance indicators through a series of experiments. In essence, Partition Table and Partition Index is an abnormality of grid index which has large-scale grid cell. This article has combined the Partition Table and Partition index with grid index through dividing the data by larger grid, thus each division forms an independent data storage Partition and range query is converted into or limited to local query, consequently more effective multi-layered grid index has been created under the environment of huge amounts of data. Through experimental verification, testing results show that the combined index for the massive spatial data queries have obvious effects and can greatly improve the efficiency of spatial query.

Wang Qian - One of the best experts on this subject based on the ideXlab platform.

Bin Zhao - One of the best experts on this subject based on the ideXlab platform.