期刊文献+

一种基于虚拟数据仓库的查询优化方法

A Query Optimization Method Based on Virtual Data Warehouse
下载PDF
导出
摘要 跨地区企业集团如何从分布在各地数据仓库的数据中获取信息以帮助他们决策是数据仓库研究的一个重要问题。本文提出了一种虚拟数据仓库三层模型及其查询优化方法,引入了虚拟元数据、查询快表等概念,通过查询快表可以快速得到查询方案,通过虚拟元数据与各结点元数据的映射,可形成查询方案,从而获得查询结果。分析表明,该方法能够有效地提高查询效率。 For trans - regional enterprises, it is an important researchful problem to get information from data warehouses of different regions for decision - making. In this paper, the author proposes a query optimization algorithm based on virtual data warehouse. In addition, the author introduces the concept of metadata and quick query table. Through quick query table, you can get query scheme quickly. And then through mapping between quick query table and each metadata, you can form query scheme and finally get query results. Analysis data illustrate query efficiency can get improved by using this method.
出处 《信息技术与信息化》 2009年第3期91-93,共3页 Information Technology and Informatization
关键词 虚拟数据仓库 虚拟元数据 联机分析处理 查询优化 Virtual data warehouse Virtual metadata OLAP Query optimization
  • 相关文献

参考文献6

二级参考文献17

  • 1蒋旭东 周立柱.利用实物化视图实现OLAP查询.1999年全国数据库会议论文集[J].兰州大学学报:自然科学版,1999,35:242-247.
  • 2冯建华 蒋旭东 等.面向分析和预测的数据仓库平台.1999年全国数据库会议论文集[J].兰州大学学报:自然科学版,1999,35:236-241.
  • 3冯建华,兰州大学学报,1999年,35卷,增刊,236页
  • 4蒋旭东,兰州大学学报,1999年,35卷,增刊,242页
  • 5Gupta, N., Haritsa, J.R., Ramanath, M. Distributed query processing on the web. http://dsl.serc.iisc.ernet.in/pub/TR/TR-9901.ps.
  • 6Papakonstantinou, Y., Vassalos, V. Query rewriting for semistructured data. In: Delis, A., Faloutsos, C., Ghandeharizadeh, S., eds. Proceedings of the ACM SIGMOD'99. Philadephia, Pennsylvania: ACM Press, 1999. 455~466.
  • 7Roth, M.T., Schwarz, R. Don't scrap it, wrap it! A wrapper architecture for legacy data sources. In: Jarke, M., Carey, M.J., Dittrich, K.R., et al., eds. Proceedings of the 23rd International Conference on the Very Large Data Bases. Athens: Morgan Kaufmann Publishers, Inc., 1997. 266~275.
  • 8Laura M., Kossmann, H.D., Wimmers, E.L., et al. Optimizing queries across diverse data sources. In: Jarke, M., Carey, M.J., Dittrich, K.R., et al., eds. Proceedings of the 23rd International Conference on the Very Large Data Bases. Athens: Morgan Kaufmann Publishers, Inc., 1997. 276~285.
  • 9Bouganim, L., Chan-Sine-Ying, T., Dang-Ngoc, Tuyet-Tram, et al. MIROWeb: integrating multiple data sources through semistructured data types. In: Atkinson, M.P., Orlowska, M.E., Valduriez, P., et al., eds. Proceedings of the 25th International Conference on the Very Large Data Bases. Edinburgh: Morgan Kaufmann Publishers, Inc., 1999. 750~753.
  • 10Geffner, S., Agrawal, D., Abbadi, A.E. The dynamic data cube. In: Zaniolo, C., Lockemann, P.C., Scholl, M.H., et al., eds. Proceedings of the 7th International Conference on Extending Database Technology. Konstanz: Springer-Verlag, 2000. 237~253.

共引文献34

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部