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    • 2. 发明申请
    • QUERY OPTIMIZATION TECHNIQUES FOR BUSINESS INTELLIGENCE SYSTEMS
    • 业务智能系统的查询优化技术
    • WO2012173827A2
    • 2012-12-20
    • PCT/US2012/040953
    • 2012-06-05
    • MICROSOFT CORPORATION
    • WANG, Yutong (Jeffrey)DUMITRU, Marius
    • G06F17/30448G06F17/30498
    • A variety of query optimization techniques are described herein. A first query optimization technique, referred to herein as non-empty transformation, may be applied to queries that specify one or more measures, a dimensional context within which the measure(s) are to be evaluated, and a filter condition specifying that rows with only empty measure values be excluded from a result set. The non-empty transformation technique enables such queries to be rewritten into another format that can be executed more efficiently than the original queries. A second query optimization technique described herein involves restructuring an operator tree representation of a query so as to avoid unnecessary duplicated evaluation of extension columns. A third query optimization technique described herein automatically selects a minimum number of join columns having the lowest cardinality for implementing a join between two tables.
    • 本文描述了各种查询优化技术。 本文中称为非空转换的第一查询优化技术可以应用于指定一个或多个度量的查询,要在其中评估度量的维度上下文,以及指定具有 只有空测量值才能从结果集中排除。 非空转换技术使得这样的查询可以被重写成可以比原始查询更有效地执行的另一格式。 本文描述的第二种查询优化技术涉及重组查询的运算符树表示,以避免扩展列的不必要的重复评估。 本文所述的第三种查询优化技术自动选择具有最低基数的最小数目的连接列,以实现两个表之间的连接。