A Time Machine for XML

G. Fourny, D. Florescu, Donald Kossmann, Markos Zaharioudakis
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引用次数: 5

Abstract

With sinking storage costs, it becomes more and more feasible, and popular, to retain past versions of documents and data. While undoing changes is worthy, this becomes even more valuable if the data is queryable. Nowadays, there are two widespread version control paradigms: document versioning (SVN, git, etc.) and versioned databases. The former handles any kind of document, even binary, but only sees lines of text, so that the query capability is limited. The latter provide ne-grained temporal query capabilities on highly structured data - but storing everything in a relational database is not desirable. The goal of this paper is to provide a unied framework for eciently versioning, querying and updating not only data and documents, but also, inbetween, any kind of semi-structured information, like XML.We start with the XQuery programming language and meticulously extend its data model, its syntax and its processing model to make it seamlessly time-aware. We provide data structures and algorithms for the ecient implementation of such a versioning system. Finally, we show that there is no signicant performance loss for traditional queries when enriching an existing engine with versioning capabilities.
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XML的时间机器
随着存储成本的下降,保留过去版本的文档和数据变得越来越可行和流行。虽然撤销更改是值得的,但如果数据是可查询的,那么撤销更改就更有价值了。现在,有两种广泛的版本控制范例:文档版本控制(SVN、git等)和版本化数据库。前者可以处理任何类型的文档,甚至是二进制文档,但只能看到文本行,因此查询功能受到限制。后者提供了对高度结构化数据的新粒度临时查询功能——但是将所有内容存储在关系数据库中是不可取的。本文的目标是提供一个统一的框架,不仅用于数据和文档,而且用于数据和文档之间的任何类型的半结构化信息(如XML)的高效版本控制、查询和更新。我们从XQuery编程语言开始,细致地扩展它的数据模型、语法和处理模型,使其具有无缝的时间感知。我们为这种版本控制系统的有效实现提供了数据结构和算法。最后,我们展示了在使用版本控制功能丰富现有引擎时,传统查询没有明显的性能损失。
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