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OLAP PRECOMPUTED MODEL, AUTOMATIC MODELING METHOD, AND AUTOMATIC MODELING SYSTEM

机译:OLAP预计算模型,自动建模方法和自动建模系统

摘要

An OLAP precomputed model, an automatic modelling method, and an automatic modelling system. The model comprises: a dimension module, an aggregate group module, and a measurement module. The method comprises: compiling statistics of data of all data sources to produce a statistic compilation resu determining a service model on the basis of a user-defined data model and of a query preview with respect to a target query; performing a query preview with respect to a sample and collecting query statistics; performing physical modeling and defining the dimensions, measurements, and an aggregate group of a precomputed model; producing a service modeling resu and producing the precomputed model. The system comprises: a data statistic compilation module, a service model module, a query statistics module, and a model creating module. The described solution, by adding a derived dimension and an aggregate group, performs more effective combination of precomputed dimensions, reduces redundant computation and data storage, and provides increased computational efficiency and reduced storage occupancy, thus acquiring improved effects in big data multidimensional analysis applications.
机译:OLAP预计算模型,自动建模方法和自动建模系统。该模型包括:维度模块,集合组模块和度量模块。该方法包括:对所有数据源的数据进行统计以产生统计汇编结果;以及基于用户定义的数据模型和针对目标查询的查询预览,确定服务模型;对样本进行查询预览并收集查询统计信息;执行物理建模并定义预计算模型的尺寸,度量和聚合组;产生服务建模结果;并生成预先计算的模型。该系统包括:数据统计编译模块,服务模型模块,查询统计模块和模型创建模块。所描述的解决方案通过添加派生维度和聚合组来执行预计算维度的更有效组合,减少冗余计算和数据存储,并提供更高的计算效率和降低的存储占用率,从而在大数据多维分析应用程序中获得更好的效果。

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