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arXiv 1612.08050cs.DB
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UDBMS:多模型数据管理的统一之路

UDBMS: Road to Unification for Multi-model Data Management

Jiaheng Lu, Zhen Hua Liu, Pengfei Xu, Chao Zhang

摘要:

传统的数据库系统是围绕单个数据模型组织的,该模型确定如何组织、存储和操纵数据。但本文的愿景是开发新的原则和技术,以针对单个集成后端管理多个数据模型。例如,半结构化、图形和关系模型是新系统可以支持的数据模型的示例。拥有一个单一的数据平台来管理结构良好的数据和NoSQL数据对用户来说是有益的;这种方法大大减少了集成、迁移、开发、维护和操作问题。问题是具有挑战性的:现有的数据库原理主要是针对单一模型的,而对多模型数据管理的研究还处于早期阶段。在本文中,我们设想了一个统一的数据库管理系统(UDBMS)的多模型数据管理在一个平台上。UDBMS将提供几个新的特性,如统一的数据模型和灵活的模式,统一的查询处理,统一的索引结构和跨模型的事务保证。我们讨论我们的愿景,以及目前的多个研究挑战,我们需要解决。

英文摘要:

A traditional database systems is organized around a single data model that determines how data can be organized, stored and manipulated. But the vision of this paper is to develop new principles and techniques to manage multiple data models against a single, integrated backend. For example, semi-structured, graph and relational models are examples of data models that may be supported by a new system. Having a single data platform for managing both well-structured data and NoSQL data is beneficial to users; this approach significantly reduces integration, migration, development, maintenance and operational issues. The problem is challenging: the existing database principles mainly work for a single model and the research on multi-model data management is still at an early stage. In this paper, we envision a UDBMS (Unified Database Management System) for multi-model data management in one platform. UDBMS will provide several new features such as unified data model and flexible schema, unified query processing, unified index structure and cross-model transaction guarantees. We discuss our vision as well as present multiple research challenges that we need to address.

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。

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