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    • 1. 发明申请
    • MULTI-DIMENSIONAL HISTOGRAM METHOD USING MINIMAL DATA-SKEW COVER IN SPACE-PARTITIONING TREE AND RECORDING MEDIUM STORING PROGRAM FOR EXECUTING THE SAME
    • 在空间划分树中使用最小数据仓库的多维组织方法和用于执行相同记录的中继存储程序
    • US20110145244A1
    • 2011-06-16
    • US12695500
    • 2010-01-28
    • Myoung Ho KimYohan J. RohJae Ho KimJin Hyun Son
    • Myoung Ho KimYohan J. RohJae Ho KimJin Hyun Son
    • G06F17/30
    • G06F16/24545
    • The present disclosure relates to a multi-dimensional histogram method using a minimal data-skew cover in a space-partitioning tree, which is used to estimate the selectivity of queries, that is, the sizes of query results, and a recording medium storing a program for executing the multi-dimensional histogram method. In the multi-dimensional histogram method, a Database (DB) system receives information required to generate a histogram from an outside of the DB system, and then constructs a space-partitioning tree based on the information required to generate a histogram. The DB system constructs a multi-dimensional histogram based on a minimal data-skew cover in the space-partitioning tree. When the DB system receives a query from the outside, the DB system calculates the estimate of the selectivity for the query by using the multi-dimensional histogram. Further, the present disclosure includes a recording medium storing a program for executing the multi-dimensional histogram method.
    • 本公开内容涉及使用空间分区树中的最小数据偏斜覆盖的多维直方图,其用于估计查询的选择性,即查询结果的大小,以及存储查询结果的记录介质 用于执行多维直方图方法的程序。 在多维直方图方法中,数据库(DB)系统从DB系统的外部接收生成直方图所需的信息,然后根据生成直方图所需的信息构建空间分割树。 DB系统基于空间分区树中的最小数据偏移覆盖来构建多维直方图。 当DB系统从外部接收到查询时,DB系统通过使用多维直方图计算查询的选择性的估计。 此外,本公开包括存储用于执行多维直方图方法的程序的记录介质。