我的MDX查询如下所示:
WITH
MEMBER [YEAR].[A2014_1-12] AS
([YEAR].[2014], [TYPE].[ACTUAL]),
MEMBER [YEAR].[P2014_1-12] AS
([YEAR].[2014], [TYPE].[PLAN]),
MEMBER [YEAR].[P2015_1-12] AS
([YEAR].[2015], [TYPE].[PLAN]),
MEMBER [YEAR].[A2015_YTD] AS
SUM(
{[YEARPERIOD].[201501]:[YEARPERIOD].[201509]}
,(
[Measures].currentmember
,[TYPE].[ACTUAL]
)
)
SELECT
{
[YEAR].[A2014_1-12],
[YEAR].[P2014_1-12],
[YEAR].[P2015_1-12],
[YEAR].[A2015_YTD]
}
ON COLUMNS,
NON EMPTY
[COST_CENTER]
*[COST_ELEMENT] ON ROWS
FROM [CUBE]
WHERE ([Measures].[COSTS]);查询本身正在工作。然而,它也返回了很多零行,我想去掉这些零行。奇怪的是-如果我只在列轴上放了一个成员(例如YEAR.A2014_1-12),它不会返回任何零行。但是,只要我开始向列轴添加另一个成员,它也会返回许多零行(似乎忽略了我的CROSSJOIN中的非空)。如何删除上述MDX-Query中的零行?
发布于 2015-10-26 00:04:35
试着从这个开始
WITH
MEMBER [YEAR].[A2014_1-12] AS
iif(
([YEAR].[2014], [TYPE].[ACTUAL]) = 0
,null
,([YEAR].[2014], [TYPE].[ACTUAL])
)
MEMBER [YEAR].[P2014_1-12] AS
iif(
([YEAR].[2014], [TYPE].[PLAN]) = 0
,null
,([YEAR].[2014], [TYPE].[PLAN])
)
SELECT
NON EMPTY
{
[YEAR].[A2014_1-12],
[YEAR].[P2014_1-12]
}
ON COLUMNS,
NON EMPTY
[COST_CENTER]
*[COST_ELEMENT] ON ROWS
FROM [CUBE]
WHERE ([Measures].[COSTS]);另外,您不需要在此定义中定义度量层次结构的当前成员:
MEMBER [YEAR].[A2015_YTD] AS
SUM(
{[YEARPERIOD].[201501]:[YEARPERIOD].[201509]}
,(
[Measures].currentmember
,[TYPE].[ACTUAL]
)
) 这就足够了:
MEMBER [YEAR].[A2015_YTD] AS
SUM(
{[YEARPERIOD].[201501]:[YEARPERIOD].[201509]}
,([TYPE].[ACTUAL])
) 试着这样做:
WITH
MEMBER [YEAR].[A2014_1-12] AS
iif(
([YEAR].[2014], [TYPE].[ACTUAL]) = 0
,null
,([YEAR].[2014], [TYPE].[ACTUAL])
)
MEMBER [YEAR].[P2014_1-12] AS
iif(
([YEAR].[2014], [TYPE].[PLAN]) = 0
,null
,([YEAR].[2014], [TYPE].[PLAN])
)
SET [X] AS
NonEmtpy(
[COST_CENTER]*[COST_ELEMENT],
{[YEAR].[A2014_1-12],[YEAR].[P2014_1-12]}
)
SELECT
NON EMPTY
{
[YEAR].[A2014_1-12],
[YEAR].[P2014_1-12]
}
ON 0,
//NON EMPTY
[X] ON 1
FROM [CUBE]
WHERE ([Measures].[COSTS]);https://stackoverflow.com/questions/33331564
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