SSAS多维数据集内存随着10维MDX查询而爆炸

SSAS多维数据集内存随着10维MDX查询而爆炸,ssas,mdx,olap,dimensions,cube,Ssas,Mdx,Olap,Dimensions,Cube,我们正在使用mdx查询查询SSAS多维数据集,该查询可以快速高效地执行多达9个维度。一旦我们达到10维,多维数据集的内存使用就会失控,并使用机器上的所有可用内存,直到它基本上使机器崩溃。有人能回答为什么10和9会有如此大的不同吗 with member measures.CatKey as [Question Answer Primary].[Q-A].currentmember.properties('key') select { measures.CatKey

我们正在使用mdx查询查询SSAS多维数据集,该查询可以快速高效地执行多达9个维度。一旦我们达到10维,多维数据集的内存使用就会失控,并使用机器上的所有可用内存,直到它基本上使机器崩溃。有人能回答为什么10和9会有如此大的不同吗

with member measures.CatKey
    as
    [Question Answer Primary].[Q-A].currentmember.properties('key')
select {
        measures.CatKey,
        [Measures].[AverageValue],
        KPIValue('KPI Question Average Delta Wave Over Wave'),
        KPITrend('KPI Question Average Delta Wave Over Wave'),
        [Measures].[TopBoxPercent],
        KPIValue('KPI Top Box Delta Wave Over Wave'),
        KPITrend('KPI Top Box Delta Wave Over Wave'),
        [Measures].[MiddleBoxPercent],
        KPIValue('KPI Middle Box Delta Wave Over Wave'),
        KPITrend('KPI Middle Box Delta Wave Over Wave'),
        [Measures].[BottomBoxPercent],
        KPIValue('KPI Bottom Box Delta Wave Over Wave'),
        KPITrend('KPI Bottom Box Delta Wave Over Wave'),
        [Measures].[Primary Response Count]
    } on columns,

    [Question Answer Primary].[Q-A].[QUESTIONCATEGORY] * [Question Answer Primary].[QUESTIONKEY].[QUESTIONKEY]
    DIMENSION PROPERTIES MEMBER_VALUE on rows

from [SATPlus_Cube]

where CrossJoin({[Response Wave].[Wave].&[20110101]}, 
{
    [Question Answer Primary].[QUESTIONCATEGORY].&[AfricaSpecific], 
    [Question Answer Primary].[QUESTIONCATEGORY].&[ChinaSpecific], 
    [Question Answer Primary].[QUESTIONCATEGORY].&[Training], 
    [Question Answer Primary].[QUESTIONCATEGORY].&[SalesSupport], 
    [Question Answer Primary].[QUESTIONCATEGORY].&[Relationship], 
    [Question Answer Primary].[QUESTIONCATEGORY].&[ProductsAndPartsQuality], 
    [Question Answer Primary].[QUESTIONCATEGORY].&[ProductSupport], 
    [Question Answer Primary].[QUESTIONCATEGORY].&[PricingAndDiscounts],
    [Question Answer Primary].[QUESTIONCATEGORY].&[Overall],
    [Question Answer Primary].[QUESTIONCATEGORY].&[KeyMetrics],
    [Question Answer Primary].[QUESTIONCATEGORY].&[ITSystemsSupport],
    [Question Answer Primary].[QUESTIONCATEGORY].&[GovernmentNationalSales],
    [Question Answer Primary].[QUESTIONCATEGORY].&[FinancingAndCredit],
    [Question Answer Primary].[QUESTIONCATEGORY].&[FieldSupport], 
    [Question Answer Primary].[QUESTIONCATEGORY].&[DistributionSupport], 
    [Question Answer Primary].[QUESTIONCATEGORY].&[AdvertisingSupport]
}, 
NonEmpty (
        {[Sample].[SAMPLE KEY].[SAMPLE KEY]},
        ( 
            {[Hierarchy].[Node Value].&[1]}
            , [Measures].[Primary Response Count]
        )
    ))

你试过子多维数据集语法吗?也许效果更好

    Select 
    {...} On Columns,
    {...} On Rows
    from (Select {{[Response Wave].[Wave].&[20110101]}} On Columns
          From {
        [Question Answer Primary].[QUESTIONCATEGORY].&[AfricaSpecific], 
        [Question Answer Primary].[QUESTIONCATEGORY].&[ChinaSpecific], 
        ...
        [Question Answer Primary].[QUESTIONCATEGORY].&[DistributionSupport], 
        [Question Answer Primary].[QUESTIONCATEGORY].&[AdvertisingSupport]
    } On Columns FROM [SATPlus_Cube]))
    WHERE .....

可能您的维度中有太多成员(#10)