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Toward a tenant-aware query rewriting engine for Universal Table schema-mapping

机译:面向用于通用表架构映射的可感知租户的查询重写引擎

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摘要

In software as a service (SaaS) environments, designing a multi-tenant data architecture that supports shared database with custom extension is a non-trivial task. A general approach to support such an architecture is a middleware-level facility that supports the mapping of multiple single-tenant logical schemas in the application to one multi-tenant physical schema in the database. In this paper we follow this approach and report our preliminary results on the design and analysis of a query rewriting engine that can transparently transform tenant-specific logical queries into corresponding physical queries for Universal Table, a widely adopted and industry verified schema-mapping technique. A prototype and a sample SaaS application are implemented to verify the feasibility of the design of the query rewriting engine. Besides, performance analysis results that can be used to predict the overhead of schema-mapping in the engine are also reported.
机译:在软件即服务(SaaS)环境中,设计一个支持具有自定义扩展名的共享数据库的多租户数据体系结构是一项艰巨的任务。支持这种体系结构的一种通用方法是中间件级别的工具,该工具支持将应用程序中的多个单租户逻辑模式映射到数据库中的一个多租户物理模式。在本文中,我们采用这种方法,并报告了有关查询重写引擎的设计和分析的初步结果,该引擎可以将特定于租户的逻辑查询透明地转换为通用表的相应物理查询,通用表是一种广泛采用的且业已验证的模式映射技术。实现了原型和样例SaaS应用程序,以验证设计查询重写引擎的可行性。此外,还报告了可用于预测引擎中模式映射开销的性能分​​析结果。

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