实时数据转换在行动

IF 2.6 3区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Proceedings of the Vldb Endowment Pub Date : 2023-08-01 DOI:10.14778/3611540.3611593
Ju Hyoung Mun, Konstantinos Karatsenidis, Tarikul Islam Papon, Shahin Roozkhosh, Denis Hoornaert, Ulrich Drepper, Ahmed Sanaullah, Renato Mancuso, Manos Athanassoulis
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摘要

事务性和分析性数据库管理系统(DBMS)通常采用不同的数据布局:前者采用行存储,后者采用列存储。为了在不维护两个系统和两个(或更多)数据副本的情况下弥合这两者的需求,我们建议的系统关系内存使用专门的硬件,在查询执行时将基行表转换为任意列组。这种方法最大限度地提高了缓存的局部性,并且通过一个简单的抽象(允许透明的动态数据转换)易于使用。在这里,我们将通过四个代表性场景演示如何部署和使用关系内存。该演示在Xilinx Zynq UltraScale+ MPSoC平台上使用关系内存的全栈实现。会议参与者将与部署在实际平台中的关系内存进行交互。
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On-the-Fly Data Transformation in Action
Transactional and analytical database management systems (DBMS) typically employ different data layouts: row-stores for the first and column-stores for the latter. In order to bridge the requirements of the two without maintaining two systems and two (or more) copies of the data, our proposed system Relational Memory employs specialized hardware that transforms the base row table into arbitrary column groups at query execution time. This approach maximizes the cache locality and is easy to use via a simple abstraction that allows transparent on-the-fly data transformation. Here, we demonstrate how to deploy and use Relational Memory via four representative scenarios. The demonstration uses the full-stack implementation of Relational Memory on the Xilinx Zynq UltraScale+ MPSoC platform. Conference participants will interact with Relational Memory deployed in the actual platform.
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来源期刊
Proceedings of the Vldb Endowment
Proceedings of the Vldb Endowment Computer Science-General Computer Science
CiteScore
7.70
自引率
0.00%
发文量
95
期刊介绍: The Proceedings of the VLDB (PVLDB) welcomes original research papers on a broad range of research topics related to all aspects of data management, where systems issues play a significant role, such as data management system technology and information management infrastructures, including their very large scale of experimentation, novel architectures, and demanding applications as well as their underpinning theory. The scope of a submission for PVLDB is also described by the subject areas given below. Moreover, the scope of PVLDB is restricted to scientific areas that are covered by the combined expertise on the submission’s topic of the journal’s editorial board. Finally, the submission’s contributions should build on work already published in data management outlets, e.g., PVLDB, VLDBJ, ACM SIGMOD, IEEE ICDE, EDBT, ACM TODS, IEEE TKDE, and go beyond a syntactic citation.
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