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Pivoted table index for querying product-property-value information

机译:透视表索引,用于查询产品属性值信息

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The query for triple information on product -attribute (property)-value is one of the most frequent queries in e-commerce. Storing the triple, schema vertically is effective for avoidance of sparse data and schema evolution. However, conventional horizontal schema often shows better query performance when properties are queried as groups clustered by product. Therefore, we propose vertical schema as a primary table structure for the triple information in RDBMS and a pivoted table index created from the basic vertical table. This index is beneficial to performance of the frequent pattern query on the group properties associated with each product class.
机译:关于产品--Attribute(属性)的三重信息查询 - Value是电子商务中最常见的查询之一。存储三倍,垂直架构对于避免稀疏数据和架构演化是有效的。但是,当按产品群集的组查询属性时,传统的水平架构通常显示更好的查询性能。因此,我们将垂直架构提出作为RDBMS中的三个信息的主要表结构和从基本垂直表创建的枢转表索引。此索引有利于对与每个产品类关联的组属性上的频繁模式查询的性能有益。

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