TIMBER: A native XML database
TIMBER: A native XML database
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DOI：
10.1007/s00778-002-0081-x
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发表时间：
2002-12
期刊：
影响因子：
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通讯作者：
H. V. Jagadish;S. Al-Khalifa;Adriane P. Chapman;L. Lakshmanan;Andrew Nierman;Stelios Paparizos;J. Patel;D. Srivastava;Nuwee Wiwatwattana;Yuqing Wu;Cong Yu
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文献类型：
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作者：
H. V. Jagadish;S. Al-Khalifa;Adriane P. Chapman;L. Lakshmanan;Andrew Nierman;Stelios Paparizos;J. Patel;D. Srivastava;Nuwee Wiwatwattana;Yuqing Wu;Cong Yu
本文描述了密歇根大学目前正在实现的Timber XML数据库系统的总体设计和体系结构。该系统基于用于操作树的批量代数，并本地存储XML。开发了新的访问方法来评估XML上下文中的查询，还开发了新的成本估计和查询优化技术。我们提供性能数据来支持我们的一些设计决策。我们认为，该系统的关键智力贡献是在原生XML存储中提供全面的一次设置查询处理能力，并具有关系查询处理的所有标准组件，包括代数重写和基于成本的优化器。
This paper describes the overall design and architecture of the Timber XML database system currently being implemented at the University of Michigan. The system is based upon a bulk algebra for manipulating trees, and natively stores XML. New access methods have been developed to evaluate queries in the XML context, and new cost estimation and query optimization techniques have also been developed. We present performance numbers to support some of our design decisions. We believe that the key intellectual contribution of this system is a comprehensive set-at-a-time query processing ability in a native XML store, with all the standard components of relational query processing, including algebraic rewriting and a cost-based optimizer.