【24h】

A Fast Index for Semistructured Data

机译:半系统数据的快速索引

获取原文

摘要

Queries navigate semistructured data via path expressions, and can be accelerated using an index. Our solution encodes paths as strings, and inserts those strings into a special index that is highly optimized for long and complex keys. We describe the Index Fabric, an indexing structure that provides the efficiency and flexibility we need. We discuss how "raw paths" are used to optimize ad hoc queries over semistructured data, and how "refined paths" optimize specific access paths. Although we can use knowledge about the queries and structure of the data to create refined paths, no such knowledge is needed for raw paths. A performance study shows that our techniques, when implemented on top of a commercial relational database system, outperform the more traditional approach of using the commercial system's indexing mechanisms to query the XML.
机译:查询通过路径表达式导航Semiltruceed数据,并且可以使用索引加速。我们的解决方案将路径编码为字符串,并将这些字符串插入到高度优化的特殊索引,这对于长期和复杂的键。我们描述了索引结构,这是一种索引结构,提供我们需要的效率和灵活性。我们讨论如何使用“原始路径”如何通过Semistrucey数据优化Ad Hoc查询,以及如何优化特定访问路径的“精细路径”。虽然我们可以使用关于数据的查询和结构来创建精致路径的知识,但原始路径不需要这样的知识。绩效研究表明,我们的技术,当在商业关系数据库系统的顶部实现时,优于使用商业系统的索引机制来查询XML的更传统的方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号