Query optimization with value path materialization in column-stored DWMS

Bin Zhang, Xiaoling Xia, Xiaohu Huang, Mei Wang, Jiajin Le
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Abstract

Materialization is a key issue for query execution in column-oriented Data Warehouse Management System (DWMS) due to the fact that it has direct influence on the query efficiency. Focusing on the defects of traditional strategies Early Materialization and Late Materialization, this paper propose a new materialization strategy called VPMS (Value path Materialization Strategy) to solve those problem. First, VPMS define a new descriptor structure---pass block for the intermediate results during physical execution. For a given physical query tree, VPMS generates value path. Depending on the value path, the values of the column are saved in the value area of the pass block when needed by the upper nodes, otherwise, only save the location information. Finally, during the query execution, the physical sub-operation is specified according to the materialization path and the query object itself, which effectively reduces the unnecessary duplication of judgments. Experiments on benchmark dataset SSB demonstrate the overall effectiveness of our approach.
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在列存储的DWMS中使用值路径物化的查询优化
实体化是面向列数据仓库管理系统(DWMS)中查询执行的关键问题,它直接影响到查询的效率。针对传统的早实体化和晚实体化策略存在的缺陷,提出了一种新的实体化策略VPMS (Value path Materialization strategy)。首先,VPMS为物理执行过程中的中间结果定义了一个新的描述符结构——pass块。对于给定的物理查询树,VPMS生成值路径。根据不同的值路径,当上层节点需要时,将该列的值保存在通道块的值区中,否则仅保存位置信息。最后,在查询执行过程中,根据物化路径和查询对象本身指定物理子操作,有效减少了不必要的重复判断。在基准数据集SSB上的实验证明了我们的方法的总体有效性。
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