Minimization and group-by detection for nested XQueries

Alin Deutsch, Y. Papakonstantinou, Yu Xu
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引用次数: 8

Abstract

We extend tree pattern queries into group-by normal form tree pattern (GNFTP) queries, which are nested, perform arbitrary joins, and freely mix bag and set semantics. Here, we describe a subset of XQuery, called OptXQuery and provide a normalization algorithm that rewrites any OptXQuery into a GNFTP query. Key logical query optimizations can be solved for GNFTP/OptXQuery. As a proof-of-concept but also for its own importance and value in query optimization, we developed and evaluated a query minimization algorithm for GNFTP. The rich features of GN-FTP/OptXQuery create key challenges that fundamentally extend the prior work on the problems of minimizing conjunctive queries. An important application of this technique is group-by detection. We extend GNFTP into extGNFTP to capture XQueries outside the OptXQuery set. The extGNFTP notation provides the logical plan optimization framework of our XQuery processor.
对嵌套的xquery进行最小化和分组检测
我们将树模式查询扩展为按组的规范化树模式(GNFTP)查询,这些查询是嵌套的,执行任意连接,并自由混合包和集语义。在这里,我们描述XQuery的一个子集,称为OptXQuery,并提供一个规范化算法,该算法将任何OptXQuery重写为GNFTP查询。关键逻辑查询优化可以解决GNFTP/OptXQuery。作为概念验证,同时也考虑到它在查询优化中的重要性和价值,我们为GNFTP开发并评估了一个查询最小化算法。GN-FTP/OptXQuery的丰富特性带来了关键挑战,从根本上扩展了最小化联合查询问题的先前工作。该技术的一个重要应用是分组检测。我们将GNFTP扩展到extGNFTP,以捕获OptXQuery集之外的xquery。extGNFTP符号提供了XQuery处理器的逻辑计划优化框架。
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