首页> 外文会议>Finding new values and uses of information >Join Query Optimization in Nested Relational Databases: A Generalized Query Optimization Algorithm and Its Evaluation
【24h】

Join Query Optimization in Nested Relational Databases: A Generalized Query Optimization Algorithm and Its Evaluation

机译:嵌套关系数据库中的联接查询优化:广义查询优化算法及其评估

获取原文
获取原文并翻译 | 示例

摘要

The nested relational model has been investigated as a promising approach to support new database application domains. Join query optimization is of practical importance in the nested relational database, since join is a costly operation as in the original relational database. In the previous work, we studied query optimization for two join-type operations: nested join and embed, and gave an optimization algorithm. However, in that context, nested joins and embeds in a given query graph were restricted to be applied only at the outermost level of base nested relations. In this paper, we discuss more general cases where nested joins and embeds are applied at arbitrary nested levels of base nested relations. We propose a generalized algorithm to derive a cost effective query execution plan for a given query . We show that the algorithm derives a cost optimal query execution plan under some assumptions. Effectiveness of the algorithm is also evaluated with simulations.
机译:嵌套关系模型已被研究为支持新数据库应用程序域的一种有前途的方法。连接查询优化在嵌套关系数据库中具有实际的重要性,因为与原始关系数据库一样,连接是一项昂贵的操作。在先前的工作中,我们研究了两种联接类型操作的查询优化:嵌套联接和嵌入,并给出了一种优化算法。但是,在这种情况下,给定查询图中的嵌套联接和嵌入被限制为仅在基本嵌套关系的最外层应用。在本文中,我们讨论了在基本嵌套关系的任意嵌套级别上应用嵌套连接和嵌入的更多一般情况。我们提出了一种通用算法来推导给定查询的具有成本效益的查询执行计划。我们表明该算法在某些假设下得出了成本最优查询执行计划。还通过仿真评估了算法的有效性。

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