首页> 外国专利> Method and apparatus for selecting candidate statistics to estimate the selectivity value of the conditional selectivity expression in optimize queries based on a set of predicates that each reference a set of relational database tables

Method and apparatus for selecting candidate statistics to estimate the selectivity value of the conditional selectivity expression in optimize queries based on a set of predicates that each reference a set of relational database tables

机译:在一组谓词的基础上选择候选统计信息以估计优化查询中条件选择性表达式的选择性值的方法和装置,每个谓词都引用一组关系数据库表

摘要

By transforming a query into a product of conditional selectivity expressions, an existing set of statistics on query expressions can be used more effectively to estimate cardinality values. Conditional selectivity values are progressively separated according to rules of conditional probability to yield a set of non-separable decompositions that can be matched with the stored statistics on query expressions. The stored statistics are used to estimate the selectivity of the query and the estimated selectivity can be multiplied by the Cartesian product of referenced tables to yield a cardinality value.
机译:通过将查询转换为条件选择性表达式的乘积,可以更有效地使用有关查询表达式的一组现有统计信息来估计基数值。根据条件概率规则逐步分离条件选择性值,以产生一组不可分离的分解,这些分解可与查询表达式中存储的统计信息匹配。存储的统计信息用于估计查询的选择性,估计的选择性可以乘以引用表的笛卡尔乘积以得出基数值。

著录项

  • 公开/公告号US7249120B2

    专利类型

  • 公开/公告日2007-07-24

    原文格式PDF

  • 申请/专利权人 NICOLAS BRUNO;SURAJIT CHAUDHURI;

    申请/专利号US20030608083

  • 发明设计人 NICOLAS BRUNO;SURAJIT CHAUDHURI;

    申请日2003-06-27

  • 分类号G06F17/30;G06F7/00;

  • 国家 US

  • 入库时间 2022-08-21 21:01:36

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