数据访问方法的设计权衡

Manos Athanassoulis, Stratos Idreos
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引用次数: 27

摘要

50多年来,数据库研究人员和从业人员一直在构建存储、访问和更新数据的方法。为了适应不断变化的底层硬件和工作负载需求,设计访问方法一直是一项持续的工作。最近数据系统设计的爆炸式增长——除了传统的SQL系统之外,还包括NoSQL、NewSQL以及其他关系和非关系系统——使得理解设计访问方法的权衡比以往任何时候都更加重要。访问方法是任何新数据系统的核心。在本教程中,我们概述了访问方法设计方面的最新发展,并将它们放在设计空间中,其中每种方法主要关注读取性能、更新性能和内存利用率的一个或一个子集。我们讨论了如何利用设计和从过去的研究中吸取的教训。此外,我们还讨论了如何建立具有可调行为的访问方法的新思路,以及开放研究问题的前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design Tradeoffs of Data Access Methods
Database researchers and practitioners have been building methods to store, access, and update data for more than five decades. Designing access methods has been a constant effort to adapt to the ever changing underlying hardware and workload requirements. The recent explosion in data system designs - including, in addition to traditional SQL systems, NoSQL, NewSQL, and other relational and non-relational systems - makes understanding the tradeoffs of designing access methods more important than ever. Access methods are at the core of any new data system. In this tutorial we survey recent developments in access method design and we place them in the design space where each approach focuses primarily on one or a subset of read performance, update performance, and memory utilization. We discuss how to utilize designs and lessons-learned from past research. In addition, we discuss new ideas on how to build access methods that have tunable behavior, as well as, what is the scenery of open research problems.
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