使用语义缓存的关系数据库上的查询处理:综述

M. Ahmad, M. Qadir, M. Sanaullah
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引用次数: 16

摘要

通过使用缓存可以减少数据库的数据访问延迟。语义缓存通过本地响应完全和部分重叠的查询来增强普通缓存的性能。高效的查询处理和缓存管理是语义缓存面临的主要挑战。语义缓存需要高效、正确和完整的算法来处理传入的查询。基于语义缓存的查询处理已经被研究者广泛研究。本文综述了基于语义缓存的查询处理技术。我们已经定义了一个标准来评估和分析查询处理技术。在定义标准的基础上,提供了分析矩阵,以便快速了解查询处理技术的突出特征和局限性。我们得出的结论是,评估的技术不能零级拒绝查询,并且在处理查询时具有很大的运行时复杂性。这些缺陷是导致查询处理效率下降的基本因素。并对两种技术的性能进行了比较。
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Query processing over relational databases with semantic cache: A survey
Data access latency can be reduced for databases by using caching. Semantic caching enhances the performance of normal caching by locally answering the fully as well as partially overlapped queries. Efficient query processing and cache management are major challenges for semantic caching. Semantic caching demands efficient, correct and complete algorithms to process incoming queries. Query processing over semantic cache has been extensively studied by the researchers. In this paper, we have presented the survey of the existing techniques on query processing over semantic cache. We have defined a criterion to evaluate and analyze the query processing techniques. On the basis of defined criterion, analysis matrix is provided for quick insights on prominent features and limitations of query processing techniques. We have concluded that evaluated techniques are not capable of zero level query rejection and have large runtime complexity for handling queries. These deficiencies are the basic factors to decline the efficiency of query processing. The performance comparison of two techniques is also represented.
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