Fault-Tolerance Evaluation of a New SQL Database

Ainhoa Azqueta-Alzúaz, M. Patiño-Martínez, V. Vianello, R. Jiménez-Peris
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引用次数: 3

Abstract

The need of systems able to deal with large amounts of data is increasing in the big data era. These systems run on top of a distributed system where failures will happen. In the last decade a large number of data stores have been developed for providing scalability. These systems avoid some of the properties traditional relational databases provided in order to achieve scalability producing a variety of data stores known as NoSQL data stores. In the last years, NewSQL systems have been developed in order to meet the best of both worlds: transactional processing and SQL language and scalability. In this paper we present a practical experience on how failures affect the regular operation of a scalable fault-tolerant relational database (NewSQL), CumuloNimbo. The paper evaluates the performance of CumuloNimbo using the TPC-C benchmark varying the number of nodes where the database runs under different failure scenarios.
一种新型SQL数据库的容错评估
在大数据时代,对能够处理大量数据的系统的需求正在增加。这些系统运行在分布式系统之上,在分布式系统中会发生故障。在过去十年中,为了提供可伸缩性,开发了大量的数据存储。这些系统避免了传统关系数据库提供的一些属性,以实现可伸缩性,生成各种称为NoSQL数据存储的数据存储。在过去的几年中,开发了NewSQL系统,以满足两个方面的最佳要求:事务处理和SQL语言以及可伸缩性。在本文中,我们提供了一个关于故障如何影响可扩展容错关系数据库(NewSQL) CumuloNimbo的常规操作的实践经验。本文使用TPC-C基准测试来评估CumuloNimbo在不同故障场景下运行数据库的节点数量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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