优化固态驱动器上的OLAP多维数据集处理

Zhibo Chen, C. Ordonez
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引用次数: 3

摘要

硬件技术已经得到了改进,固态硬盘(SSD)的读取速度比传统硬盘驱动器(HDD)快。这种快速检索数据的独特能力与OLAP多维数据集处理完美结合。本文研究了如何提高ssd上OLAP多维数据集处理的性能。我们工作的主要新颖之处在于我们没有改变DBMS的内部子系统。相反,DBMS将SSD视为普通的HDD。我们建议对SQL查询进行优化,以增强其在ssd上的性能。使用TPC-H数据库进行的实验评估比较了我们在ssd和hdd上的优化性能。我们发现,尽管ssd的写入速度比hdd慢,但其出色的读取速度远远克服了这一限制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimizing OLAP cube processing on solid state drives
Hardware technology has improved to a point where a solid state drive (SSD) can read faster than a traditional hard disk drive (HDD). This unique ability to retrieve data quickly combines perfectly with OLAP cube processing. In this paper, we study how to improve performance of OLAP cube processing on SSDs. The main novelty of our work is that we do not alter the internal subsystems of the DBMS. Instead, the DBMS treats the SSD as though it was a regular HDD. We propose optimizations for SQL queries to enhance their performance on SSDs. An experimental evaluation with the TPC-H database compares performance of our optimizations on SSDs and HDDs. We found that even though SSDs have slower write speeds than HDDs, their excellent read speed more than overcomes this limitation.
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