MDX查询按日期维度筛选

时间:2015-01-14 10:44:24

标签: ssas mdx cube

我是MDX查询的新手,正在尝试弄清楚如何使用日期维度过滤结果集。

让我们采用这样的立方体(人为的例子):

Cube Structure

我想向用户提供要选择的项目列表,并显示所选项目期间(即开始日期和结束日期之间)发生的所有事件的成本。但是,事件与项目无关。

使用查询:

SELECT NON EMPTY
{
    [Measures].[Cost]
}
ON COLUMNS,
NON EMPTY
{
    (
        [Project Details].[Project].[Project].ALLMEMBERS
        * [Project Details].[Start Date].[Start Date].ALLMEMBERS
        * [Project Details].[End Date].[End Date].ALLMEMBERS
        * [Event Details].[Date of Occurrence].[Date of Occurrence].ALLMEMBERS
    )
}
DIMENSION PROPERTIES MEMBER_CAPTION, MEMBER_UNIQUE_NAME
ON ROWS
FROM [Cube]
CELL PROPERTIES VALUE, BACK_COLOR, FORE_COLOR, FORMATTED_VALUE, FORMAT_STRING, FONT_NAME, FONT_SIZE, FONT_FLAGS

我可以得到这样的项目列表:

Project    Start Date    End Date    Date of Occurrence    Cost
------------------------------------------------------------------
Project 1  01-Jan-15     31-Jan-15   27-Dec-14             750
Project 1  01-Jan-15     31-Jan-15   01-Jan-15             680
Project 1  01-Jan-15     31-Jan-15   02-Jan-15             320
Project 1  01-Jan-15     31-Jan-15   03-Jan-15             150
Project 1  01-Jan-15     31-Jan-15   01-Feb-15             700
Project 1  01-Jan-15     31-Jan-15   05-Feb-15             175

如果我仅运行Project 1的查询,则应排除第一个事件和最后两个事件。

最好的方法是使用WHERE还是FILTER?因为这些是维度而不是度量,我如何比较WHERE [Date of Occurrence] BETWEEN [Start Date] AND [End Date]

非常感谢任何帮助。

3 个答案:

答案 0 :(得分:1)

我会尝试这样的事情:

WITH MEMBER [Measures].[Cost in period] AS 
    IIF(
        [Event Details].[Date of Occurrence].CurrentMember.Properties('Key') >= 
          [Project Details].[Start Date].CurrentMember.Properties('Key') &&
        [Event Details].[Date of Occurrence].CurrentMember.Properties('Key') <= 
          [Project Details].[End Date].CurrentMember.Properties('Key'),
    [Measures].[Cost], NULL)
SELECT NON EMPTY
{
    [Measures].[Cost in period]
}
ON COLUMNS,
NON EMPTY
{
    (
        [Project Details].[Project].[Project].ALLMEMBERS
        * [Project Details].[Start Date].[Start Date].ALLMEMBERS
        * [Project Details].[End Date].[End Date].ALLMEMBERS
        * [Event Details].[Date of Occurrence].[Date of Occurrence].ALLMEMBERS
    )
}
ON ROWS
FROM [Cube]

基本上,您创建一个计算度量,当出现日期位于开始日期 - 结束日期间隔之外时,该度量为NULL。感谢Row成员上的NON EMPTY,数据应该从结果中过滤掉。

答案 1 :(得分:0)

如果[Event Details][Project Details]role playing dimensions,您可以使用LINKMEMBER MDX功能来帮助您。此外,我假设您将使用某种前端(也许是SSRS)来让用户自由选择开始和结束日期(作为参数或日历控件)。在这种情况下,他们将以字符串形式输入MDX查询。 STRTOMEMBER函数将这些字符串转换为成员。

使用LINKMEMBER,一旦我生成了一组日期,我就会使用AGGREGATE函数来获取这组日期的度量的聚合值。

with set [Start Date] as
linkmember(STRTOMEMBER('[Project Details].[Start Date].[Start Date].&[01/01/2014]'), [Event Details].[Date of Occurrence])

set [End Date] as 
linkmember(STRTOMEMBER('[Project Details].[End Date].[End Date].&[01/01/2015]'), [Event Details].[Date of Occurrence])

set ListOfDate as
{[Start Date].item(0):[End Date].item(0)}


member [Measure.NetCost] as
aggregate(ListOfDates, [Measures].[Cost])

SELECT NON EMPTY
{
    [Measure.NetCost]
}
ON COLUMNS,
NON EMPTY [Project Details].[Project].[Project].ALLMEMBERS  

DIMENSION PROPERTIES MEMBER_CAPTION, MEMBER_UNIQUE_NAME
ON ROWS
FROM [Cube]
CELL PROPERTIES VALUE, BACK_COLOR, FORE_COLOR, FORMATTED_VALUE, FORMAT_STRING, FONT_NAME, FONT_SIZE, FONT_FLAGS

免责声明:如上所述,仅当[Event Details][Project Details]是角色扮演尺寸时才有效。

我不确定此代码是否适用于您的方案,但我发现此功能有时非常方便。要详细了解LINKMEMBER功能,请参阅here

答案 2 :(得分:0)

未经测试。我没用过&amp;&amp;之前 - 也许只是关键字AND就足够了:

SELECT NON EMPTY
{
    [Measures].[Cost]
}
ON COLUMNS,
NON EMPTY
{
    (
        [Project Details].[Project].[Project].ALLMEMBERS
        * [Project Details].[Start Date].[Start Date].ALLMEMBERS
        * [Project Details].[End Date].[End Date].ALLMEMBERS
        * [Event Details].[Date of Occurrence].[Date of Occurrence].ALLMEMBERS
    )
}
HAVING [Event Details].[Date of Occurrence].CurrentMember.MEMBERVALUE >= 
          [Project Details].[Start Date].CurrentMember.MEMBERVALUE 
        && //<< OR IS THIS JUST "AND"?
        [Event Details].[Date of Occurrence].CurrentMember.MEMBERVALUE <= 
          [Project Details].[End Date].CurrentMember.MEMBERVALUE
ON ROWS
FROM [Cube]