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    • 17. 发明申请
    • COMPACT AGGREGATION WORKING AREAS FOR EFFICIENT GROUPING AND AGGREGATION USING MULTI-CORE CPUS
    • 使用多核心CPUs进行有效分组和聚合的紧凑聚合工作区域
    • US20120078980A1
    • 2012-03-29
    • US12889789
    • 2010-09-24
    • Lin QiaoVijayshankar RamanFrederick R. Reiss
    • Lin QiaoVijayshankar RamanFrederick R. Reiss
    • G06F17/30G06F12/08
    • G06F17/30501G06F17/30489
    • A system is described for creating compact aggregation working areas for efficient grouping and aggregation using multi-core CPUs. The system implements operations including computing a running aggregate for a group within a business intelligence (BI) query, and identifying a location to store running aggregate information within an aggregation working area of a cache. The aggregation working area includes first and second data structures. The first data structure stores running aggregate information that is associated with a group that is accessed frequently relative to a threshold. The second data structure stores running aggregate information that is associated with a group that is accessed infrequently relative to the threshold. The operations also include storing the running aggregate information in either the first or second data structure of the aggregation working area based on a characterization of the group as a frequently or infrequently accessed group.
    • 描述了一种系统,用于创建紧凑的聚合工作区域,以便使用多核CPU进行有效的分组和聚合。 系统实现操作,包括计算商业智能(BI)查询中的组的运行聚合,以及标识在高速缓存的聚合工作区域内存储运行聚合信息的位置。 聚合工作区包括第一和第二数据结构。 第一数据结构存储与经常相对于阈值被访问的组相关联的运行聚合信息。 第二数据结构存储与相对于阈值不经常访问的组相关联的运行聚合信息。 所述操作还包括基于所述组的特征化将所述运行的聚合信息存储在所述聚合工作区域的第一或第二数据结构中,作为频繁或不经常访问的组。