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Word aligned bitmap compression method, data structure, and apparatus

机译:字对齐位图压缩方法,数据结构和装置

摘要

The Word-Aligned Hybrid (WAH) bitmap compression method and data structure is a relatively efficient method for searching and performing logical, counting, and pattern location operations upon large datasets. The technique is comprised of a data structure and methods that are optimized for computational efficiency by using the WAH compression method, which typically takes advantage of the target computing system's native word length. WAH is particularly apropos to infrequently varying databases, including those found in the on-line analytical processing (OLAP) industry, due to the increased computational efficiency of the WAH compressed bitmap index. Some commercial database products already include some version of a bitmap index, which could possibly be replaced by the WAH bitmap compression techniques for potentially increased operation speed, as well as increased efficiencies in constructing compressed bitmaps. Combined together, this technique may be particularly useful for real-time business intelligence. Additional WAH applications may include scientific modeling, such as climate and combustion simulations, to minimize search time for analysis and subsequent data visualization.
机译:字对齐混合(WAH)位图压缩方法和数据结构是一种用于在大型数据集上搜索并执行逻辑,计数和模式定位操作的相对有效的方法。该技术由数据结构和方法组成,这些数据结构和方法通过使用WAH压缩方法优化了计算效率,通常利用目标计算系统的本机字长。由于增加了WAH压缩位图索引的计算效率,WAH特别适合不经常变化的数据库,包括在线分析处理(OLAP)行业中发现的数据库。一些商业数据库产品已经包含某种版本的位图索引,可以用WAH位图压缩技术代替它,以提高操作速度,并提高构造压缩位图的效率。结合在一起,此技术对于实时商业智能可能特别有用。 WAH的其他应用程序可能包括科学建模,例如气候和燃烧模拟,以最大程度地减少用于分析和后续数据可视化的搜索时间。

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