将MDX转换为DAX查询时的性能问题

Question

我有一个MDX查询，我想将其转换为DAX以提高性能，但是结果与预期不符，MDX需要11秒才能完成，而DAX是34秒。任何改善DAX查询的建议

MDX查询：

SELECT
{
    [Measures].[Internet Total Sales]
} ON COLUMNS,
ORDER(
    NONEMPTY
    (
        {
            [Product].[Model Name].[Model Name].AllMembers *
            [Product].[Product Line].[Product Line].AllMembers *
            [Product].[Product Name].[Product Name].AllMembers *
            [Customer].[First Name].[First Name].AllMembers *
            [Customer].[Last Name].[Last Name].AllMembers
        },
        {
            [Measures].[Internet Total Sales]
        }
    ),
    [Product].[Model Name].CurrentMember.MemberValue, ASC
) ON ROWS
FROM [Model]

DAX查询：

EVALUATE
CALCULATETABLE 
(
    FILTER
    (
        SUMMARIZE
        (
            CROSSJOIN('Product', 'Customer'),
            [Model Name],
            [Product Line],
            [Product Name],
            [First Name],
            [Last Name],
            "Internet Total Sales",
            [Internet Total Sales]
        ),
        NOT ISBLANK([Internet Total Sales])
    )
)
ORDER BY [Model Name] ASC

谢谢。

Answer 1

EVALUATE
SUMMARIZECOLUMNS(
    'Product'[Model Name],
    'Product'[Product Line],
    'Product'[Product Name],
    'Customer'[First Name],
    'Customer'[Last Name],
    "Internet Total Sales", [Internet Total Sales]
)
ORDER BY 'Product'[Model Name]