【摘要】 使用闪存作为存储介质成为提高数据库系统性能的一条新途径,为了解决闪存数据库系统存储管理技术中基于日志的更新策略存在查询效率低、日志区空间分配不合理、索引更新代价高等问题,提出了基于Bloom Filter的最新版本预测算法,引入记录定位器结构,提出日志概要结构和基于闪存更新查询代价评估模型的自适应机制。实验证明,该方法能够自适应地划分合理的日志区空间,有效提高查询性能,减少各种非聚集索引的更新代价。更多还原

【Abstract】 It has been a new approach that flash memory is used as storage media to improve database system performance.In the current flash database system,to solve the problems of low search performance,improper log region allocation,and high index update cost in storage management,a forecasting algorithm based on the latest version of Bloom Filter was proposed,record locator and log summary structure were introduced,and a self-adaptive mechanism based on flash search and update cost estimate model were given.The experimental results prove that it can make a proper log region allocation,efficiently improve search performance,and reduce non-clustered index update cost.更多还原