实施具有竞争力的性能逻辑恢复
Implementing Performance Competitive Logical Recovery
摘要：
新的硬件平台，例如云、多核等，已经导致了对数据库系统架构的重新考虑。我们的Deuteronomy项目将事务功能与数据管理功能分离，从而能够灵活地响应新平台的开发。然而，这种分离要求对恢复进行逻辑描述。在本文中，我们扩展目前的恢复方法，在这个逻辑设置。虽然这在原则上很简单，但性能是一个问题。我们将展示ARIES风格的恢复优化如何用于日志中未捕获页面信息的逻辑恢复。在并排使用一个共同的日志性能实验中，我们比较逻辑恢复与最先进的ARIES风格的恢复实现，并显示逻辑重做性能可以竞争。
英文摘要：
New hardware platforms, e.g. cloud, multi-core, etc., have led to a reconsideration of database system architecture. Our Deuteronomy project separates transactional functionality from data management functionality, enabling a flexible response to exploiting new platforms. This separation requires, however, that recovery is described logically. In this paper, we extend current recovery methods to work in this logical setting. While this is straightforward in principle, performance is an issue. We show how ARIES style recovery optimizations can work for logical recovery where page information is not captured on the log. In side-by-side performance experiments using a common log, we compare logical recovery with a state-of-the art ARIES style recovery implementation and show that logical redo performance can be competitive.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
