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蒙德里安奥拉普钻取算法

[英]Mondrian Olap drilldown algorithm

原文 2011-08-28 06:51:06 5 1 java/ olap/ mondrian/ drilldown

I didn't found but may be someone could me explain - OLAP cube is a combination of all possible aggregation, so related to Mondrian - leaf level is data in fact table or it is a minimum aggregate (cell) ? 我没有找到，但可能有人可以解释 - OLAP多维数据集是所有可能聚合的组合，因此与Mondrian相关 - 叶级别是事实表中的数据还是最小聚合（单元格）？ Thanks. 谢谢。

1 个解决方案

Level are attributes (characteristics of the cells aggregated measures) of dimension tables. 级别是维度表的属性（单元格聚合度量的特征）。 Each dimension table is a dimension in the data cube. 每个维度表都是数据立方体中的维度。 So to perform an OLAP operation drill-down, you should increase the granularity of the view. 因此，要执行OLAP操作向下钻取，您应该增加视图的粒度。 While the roll-up the reverse. 而倒卷则相反。

Assuming you have a consumer dimension. 假设您有消费者维度。 In this dimension you have the following attributes: region, country and city. 在此维度中，您具有以下属性：region，country和city。 A drill-down operation is view a nation and you then view the cities of this nation. 深入了解一个国家，然后您可以查看这个国家的城市。 How does the Mondrian, for example. 例如，蒙德里安怎么样？ The roll-up operation is the reverse, as you view the nations, you do a roll-up and see the parents of that nation. 汇总操作是相反的，当您查看国家时，您会进行汇总并看到该国家的父母。 That is, the drill-down do levels down the hierarchy, while the roll-up rises. 也就是说，向下钻取确实在层次结构中降低，而向上滚动则上升。

These data are seen always in accordance with an aggregate measure, which in this case could be a recipe for profit. 这些数据总是与总量度量一致，在这种情况下，这可能是一个获利的方法。 So you could see the recipe for the nation, and then navigate the hierarchy of cities and seeing the country, making a drill-down and roll up. 所以你可以看到国家的配方，然后导航城市的层次结构，看到国家，进行深入研究和汇总。

Access BJIn OLAP . 访问BJIn OLAP 。 It performs these OLAP operations and contains examples of them. 它执行这些OLAP操作并包含它们的示例。 1 1

I hope this helps. 我希望这有帮助。