XDB的实际应用:黑箱dbms的分散跨数据库查询处理

IF 2.6 3区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Haralampos Gavriilidis, Leonhard Rose, Joel Ziegler, Kaustubh Beedkar, Jorge-Arnulfo Quiané-Ruiz, Volker Markl
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引用次数: 0

摘要

数据自然是在不同的位置产生的,因此存储在不同的dbms中。为了最大限度地发挥所收集数据的价值,今天的用户将来自不同来源的数据组合在一起。数据集成方面的研究提出了中介-包装器(Mediator-Wrapper, MW)体系结构,以支持对多个数据源进行临时查询处理。用户希望使用MW方法,因为他们不需要处理异构数据源。然而,从查询处理的角度来看,MW方法效率低下:首先,需要为中介执行引擎提供资源。其次,在查询处理期间,数据在中介引擎中被“集中”,这会导致冗余数据移动。最近,我们提出了原位跨数据库查询处理,这是一种无需中介引擎的联邦查询处理范例。我们的方法通过利用现有系统来优化运行时性能并减少数据移动,从而消除了对额外联邦查询引擎的需求。在这个演示中,我们将展示XDB,这是我们用于原位跨数据库查询处理的原型。我们演示了XDB的几个方面,即跨数据库环境、我们的优化技术和它的分散执行阶段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
XDB in Action: Decentralized Cross-Database Query Processing for Black-Box DBMSes
Data are naturally produced at different locations and hence stored on different DBMSes. To maximize the value of the collected data, today's users combine data from different sources. Research in data integration has proposed the Mediator-Wrapper (MW) architecture to enable ad-hoc querying processing over multiple sources. The MW approach is desirable for users, as they do not need to deal with heterogeneous data sources. However, from a query processing perspective, the MW approach is inefficient: First, one needs to provision the mediating execution engine with resources. Second, during query processing, data gets "centralized" within the mediating engine, which causes redundant data movement. Recently, we proposed in-situ cross-database query processing , a paradigm for federated query processing without a mediating engine. Our approach optimizes runtime performance and reduces data movement by leveraging existing systems, eliminating the need for an additional federated query engine. In this demonstration, we showcase XDB, our prototype for in-situ cross-database query processing. We demonstrate several aspects of XDB, i.e. the cross-database environment, our optimization techniques, and its decentralized execution phase.
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来源期刊
Proceedings of the Vldb Endowment
Proceedings of the Vldb Endowment Computer Science-General Computer Science
CiteScore
7.70
自引率
0.00%
发文量
95
期刊介绍: The Proceedings of the VLDB (PVLDB) welcomes original research papers on a broad range of research topics related to all aspects of data management, where systems issues play a significant role, such as data management system technology and information management infrastructures, including their very large scale of experimentation, novel architectures, and demanding applications as well as their underpinning theory. The scope of a submission for PVLDB is also described by the subject areas given below. Moreover, the scope of PVLDB is restricted to scientific areas that are covered by the combined expertise on the submission’s topic of the journal’s editorial board. Finally, the submission’s contributions should build on work already published in data management outlets, e.g., PVLDB, VLDBJ, ACM SIGMOD, IEEE ICDE, EDBT, ACM TODS, IEEE TKDE, and go beyond a syntactic citation.
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