XQuery工作负载的物化视图选择

Asterios Katsifodimos, I. Manolescu, V. Vassalos
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引用次数: 30

摘要

XQuery的高效处理仍然面临重大挑战。提高XQuery处理性能的一种特别有效的技术是使用物化视图来回答查询。在这项工作中,我们考虑在给定空间预算内选择最佳视图以实现的问题,以提高查询工作负载的性能。本文首次解决了具有值连接和多个返回节点的查询和视图的视图选择问题。我们面临的挑战来自于查询语言和视图语言的表达能力和特性,以及候选视图的搜索空间的大小。虽然一般问题具有令人望而却步的复杂性,但我们提出并研究了一种启发式算法,并展示了与现有算法相比其优越的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Materialized view selection for XQuery workloads
The efficient processing of XQuery still poses significant challenges. A particularly effective technique to improve XQuery processing performance consists of using materialized views to answer queries. In this work, we consider the problem of choosing the best views to materialize within a given space budget in order to improve the performance of a query workload. The paper is the first to address the view selection problem for queries and views with value joins and multiple return nodes. The challenges we face stem from the expressive power and features of both the query and view languages and from the size of the search space of candidate views to materialize. While the general problem has prohibitive complexity, we propose and study a heuristic algorithm and demonstrate its superior performance compared to the state of the art.
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