M. Seidemann, Nikolaus Glombiewski, Michael Körber, B. Seeger
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引用次数: 5

摘要

响应式安全监控、自动驾驶汽车、物联网(IoT)和许多其他新颖的应用程序都需要系统以非常高和波动的速率将事件写入持久存储,并支持分析性的临时查询。由于标准数据库系统无法提供所需的写性能,因此最近出现了基于日志的系统、键值存储和其他写优化数据存储。然而,这些系统的缺点是查询性能一般,并且在系统发生故障时缺乏适当的即时恢复机制。在本文中,我们介绍了ChronicleDB,这是一个新颖的数据库系统,它的存储布局为在波动数据速率下的高写入性能和强大的索引功能量身定制,以支持各种查询。此外,ChronicleDB提供低成本的容错和毫秒级的即时恢复。与以前的工作不同,ChronicleDB被设计为紧密集成在应用程序中的无服务器库,或者作为独立的数据库服务器。我们对真实数据和合成数据的实验评估结果表明,在写和查询性能方面,ChronicleDB明显优于竞争系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ChronicleDB
Reactive security monitoring, self-driving cars, the Internet of Things (IoT), and many other novel applications require systems for both writing events arriving at very high and fluctuating rates to persistent storage as well as supporting analytical ad hoc queries. As standard database systems are not capable of delivering the required write performance, log-based systems, key-value stores, and other write-optimized data stores have emerged recently. However, the drawbacks of these systems are a fair query performance and the lack of suitable instant recovery mechanisms in case of system failures. In this article, we present ChronicleDB, a novel database system with a storage layout tailored for high write performance under fluctuating data rates and powerful indexing capabilities to support a variety of queries. In addition, ChronicleDB offers low-cost fault tolerance and instant recovery within milliseconds. Unlike previous work, ChronicleDB is designed either as a serverless library to be tightly integrated in an application or as a standalone database server. Our results of an experimental evaluation with real and synthetic data reveal that ChronicleDB clearly outperforms competing systems with respect to both write and query performance.
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