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首页> 外文期刊>IEEE Transactions on Knowledge and Data Engineering >Moving selections into linear least fixpoint queries
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Moving selections into linear least fixpoint queries

机译:将选择移至线性最小定点查询

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摘要

Efficient least-fixpoint query evaluation is crucial to using logic as the query language for relational databases. The authors present a selection transposition algorithm that allows selections that are conjunctions of the predicates of the form column theta value to be evaluated ahead of the least-fixpoint operator while processing linear recursive queries. It is also shown that the algorithm transposes the strongest possible selection.
机译:高效的最小定点查询评估对于将逻辑用作关系数据库的查询语言至关重要。作者提出了一种选择换位算法,该算法允许在处理线性递归查询时,在最小定点运算符之前评估作为形式列theta值的谓词的合取的选择。还表明该算法会转置最强的可能选择。

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