Data dimension processing method
A processing method and data dimension technology, applied in the direction of electronic digital data processing, special data processing applications, digital data information retrieval, etc., can solve the problems of long time spent on reprocessing, increased cost, and inflexible query, etc., to achieve simple Process and generate simple and flexible viewing effects
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[0078] In this example, the original dimensions generated are as follows:
[0079] a) Cities, whose details include all cities in Guangdong Province; custom dimension: Pearl River Delta
[0080] b) Customs, whose details include all customs; custom dimension: Northern Customs
[0081] Then, in order to facilitate retrieval, users can customize dimensions through the following steps:
[0082] a) Select the city dimension in the original dimension: By setting filter conditions, select 9 cities in the Pearl River Delta and define them as the first set of custom dimensions "Pearl River Delta".
[0083] b) Select the Customs dimension in the original dimension: By setting filter conditions, select Beijing Customs and Tianjin Customs, which are defined as the second group of custom dimensions "Northern Customs".
[0084] Users perform data query based on the above custom dimensions
[0085] A) query
example 1
[0087] 1) Query "Pearl River Delta City Sales Summary Amount"
[0088] 2) When querying, the statement only contains custom dimensions, and when translating, it is extracted. Since there are only custom dimensions, use the sub-dimensions (Guangzhou, Shenzhen, Zhuhai...) in the "Pearl River Delta" custom dimension to construct the query MDX
example 2
[0090] 1) Query "summary sales amount of all cities, among which the Pearl River Delta cities are separately summed up",
[0091] 2) When querying, the statement contains a custom dimension. When translating, take it out. In addition to the custom dimension "Pearl River Delta", the query also includes other details in the city dimension. The MDX statement of the query does not change
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