Layout-Conscious Optimization: Beyond Hybrid Row-Column Storage Model

H. Tian, Chunxiao Xing
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Abstract

Hybrid row-column storage model [1][4], a common database approach for both OLTP and OLAP, have attracted a lot of attention in the past few years. Previous works about hybrid row-column approach mainly focus on physical storage. In this paper, we propose the idea of Layout-Conscious Optimization(LCO), techniques that fully exploits possibilities and take advantages of hybrid row-column data layout in all layers of DBMS, e.g., physical storage, query processing as well as network transfer. We believe LCO offer new opportunities to improve the performance of DBMS. To demonstrate the power of LCO, we present the design of a row-column hybrid network transfer protocol for DBMS, which reduces data transfer by 75% while incurs little extra cost on CPU.
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布局意识优化:超越混合行-列存储模型
混合行列存储模型[1][4]是OLTP和OLAP的一种常见的数据库方法,在过去几年中引起了很多关注。以往关于行列混合方法的研究主要集中在物理存储方面。在本文中,我们提出了布局意识优化(LCO)的思想,该技术充分利用了DBMS所有层中混合行-列数据布局的可能性和优势,例如,物理存储,查询处理以及网络传输。我们相信LCO为提高DBMS的性能提供了新的机会。为了展示LCO的强大功能,我们提出了一个用于DBMS的行-列混合网络传输协议的设计,该协议将数据传输减少了75%,同时在CPU上产生很少的额外成本。
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