下一代JDBC数据库驱动程序的性能、透明缓存、负载平衡和横向扩展

R. Lawrence, Erik Brandsberg, R. Lee
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引用次数: 4

摘要

尽管对整体数据系统性能有重大影响,但是连接应用程序到数据库系统的数据库驱动程序并没有像数据库系统本身那样创新。这项工作描述了一个数据库驱动程序,它是为需要灵活性、高可用性、可伸缩性和性能的基于云的系统的需求而设计的。唯一的贡献是一个基于规则的查询路由系统,它支持实时配置和优化,而不需要对应用程序代码或数据库系统进行任何更改。随着越来越多的应用程序和数据库迁移到云以及不同的数据库技术(如NoSQL系统),这种灵活性允许应用程序所有者优化和迁移遗留应用程序,以利用新数据库技术的优势。实验结果表明,驱动程序缓存的查询可以将查询响应时间提高一个数量级,并将数据库系统的总体负载减少50%以上。
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Next generation JDBC database drivers for performance, transparent caching, load balancing, and scale-out
Despite having a significant impact on overall data system performance, database drivers connecting the application to the database system have not innovated at the same pace as the database systems themselves. This work describes a database driver designed for the requirements of cloud-based systems requiring flexibility, high availability, scaling, and performance. The unique contribution is a rule-based query routing system that supports real-time configurations and optimizations without requiring any changes to the application code or database system. With the increasing migration of applications and databases to the cloud as well as different database technologies such as NoSQL systems, this flexibility allows application owners to optimize and migrate legacy applications to exploit the advantages of new database technologies. Experimental results demonstrate how queries cached by the driver can improve query response times by an order of magnitude and reduce the overall load on the database system by up to 50+.
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