Algorithm choice for multiple-query evaluation

M. Kang, H. Dietz
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Abstract

It is pointed out that traditional query optimization concentrates on the optimization of the execution of each individual query. More recently, it has been observed that by considering a sequence of multiple queries some additional high-level optimizations can be performed. Once these optimizations have been performed, each operation is translated into executable code. It is shown that significant improvements can be gained by careful choice of the algorithm to be used for each operation. This choice is not merely based on efficiency of algorithms for individual operations, but primarily on the efficiency of the algorithm choices for the entire multiple-query evaluation. An efficient procedure for automatically optimizing these algorithm choices is given.<>
多查询求值的算法选择
指出传统的查询优化集中在对单个查询执行的优化上。最近,我们观察到,通过考虑多个查询序列,可以执行一些额外的高级优化。一旦执行了这些优化,每个操作都被转换成可执行代码。结果表明,通过仔细选择每个操作所使用的算法,可以获得显著的改进。这种选择不仅基于单个操作的算法效率,而且主要基于整个多查询计算的算法选择效率。给出了一种自动优化这些算法选择的有效方法
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