首页> 外文OA文献 >PLASTIC: Reducing Query Optimization Overheads through Plan Recycling
【2h】

PLASTIC: Reducing Query Optimization Overheads through Plan Recycling

机译:PLASTIC:通过计划回收减少查询优化的开销

摘要

Query optimization is a computationally intensive process, especially for the complex queries that are typical in current data warehousing and mining applications. The inherent overheads of query optimization are compounded by the fact that a new query is typically optimized afresh, providing no opportunity to amortize these overheads over prior optimizations. While current commercial query optimizers do provide facilities for reusing executionplans generated for earlier queries (e.g. "stored outlines" in Oracle 9i), the query matching is extremely restrictive-only if the incoming query has a close textual resemblance with one of the stored queries is the associated plan re-used to execute the new query.
机译:查询优化是一个计算密集型过程,尤其是对于当前数据仓库和挖掘应用程序中常见的复杂查询。查询优化的内在开销因新查询通常被重新优化而变得更加复杂,因此与以前的优化相比,没有机会摊销这些开销。虽然当前的商业查询优化器确实提供了用于重用为较早查询生成的执行计划(例如,Oracle 9i中的“存储的大纲”)的工具,但是查询匹配是非常严格的,仅当传入查询与所存储的查询之一具有相似的文本相似性时才是如此相关计划被重新用于执行新查询。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利

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