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SQL Query Optimization through Nested Relational Algebra

机译:通过嵌套关系代数的SQL查询优化

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Most research work on optimization of nested queries focuses on aggregate subqueries. In this article, we show that existing approaches are not adequate for nonaggregate subqueries, especially for those having multiple subqueries and certain comparison operators. We then propose a new efficient approach, the nested relational approach, based on the nested relational algebra. The nested relational approach treats all subqueries in a uniform manner, being able to deal with nested queries of any type and any level. We report on experimental work that confirms that existing approaches have difficulties dealing with nonaggregate subqueries, and that the nested relational approach offers better performance. We also discuss algebraic optimization rules for further optimizing the nested relational approach and the issue of integrating it into relational database systems.
机译:关于嵌套查询优化的大多数研究工作都集中在聚合子查询上。在本文中,我们表明,现有方法不适用于非聚合子查询,尤其是对于具有多个子查询和某些比较运算符的方法。然后,我们在嵌套关系代数的基础上提出了一种新的有效方法,即嵌套关系方法。嵌套关系方法以统一的方式处理所有子查询,能够处理任何类型和级别的嵌套查询。我们报告的实验工作证实了现有方法在处理非聚集子查询方面存在困难,并且嵌套关系方法提供了更好的性能。我们还将讨论用于进一步优化嵌套关系方法的代数优化规则,以及将其集成到关系数据库系统中的问题。

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