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Towards Bridging the Expressiveness Gap Between linebreak Relational and Deductive Databases

机译:试图弥合 linebreak关系数据库和演绎数据库之间的表现力差距

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SQL technology has evolved during last years, and systems are becoming more powerful and scalable. However, there exist yet some expressiveness limitations that can be otherwise overcome with inputs from deductive databases. This paper focuses on both practical and theoretical expressiveness issues in current SQL implementations that are overcome in the Datalog Educational System (DES), a deductive system which also includes extended SQL queries with respect to the SQL standard and current DBMS's. Also, as external database access and interoperability are allowed in DES, results from the deductive field can be tested on current DBMS's. For instance: Less-limited SQL formulations as non-linear recursive queries, novel features as hypothetical queries, and other query languages as Datalog and Extended Relational Algebra. In addition, some notes on performance are taken.
机译:在过去的几年中,SQL技术得到了发展,并且系统变得越来越强大和可扩展。但是,仍然存在一些表达上的限制,可以通过演绎数据库的输入来克服这些限制。本文关注当前SQL实现中的实践和理论表达问题,这些问题已在Datalog教育系统(DES)中得到了克服,该系统是一种演绎系统,其中还包括有关SQL标准和当前DBMS的扩展SQL查询。另外,由于DES中允许外部数据库访问和互操作性,因此可以在当前DBMS上测试演绎字段的结果。例如:较少限制的SQL公式(例如非线性递归查询),新颖功能(例如假设查询)和其他查询语言(例如Datalog和扩展关系代数)。此外,还记录了一些有关性能的注意事项。

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