Just need to get MAX date in ALL my Measures in the Cube. For instance, DateID is a Dimention, [Measure].[First Measure],...,...,[Second Measure].
How to get list of MAX(DateID) from all Measures in my Cube.
The following will get you the max date value associated with each measure...but you will have to manually create a calculated member corresponding to each measure.
WITH
MEMBER [Measures].[Max Date - Internet Sales Amount] AS
TAIL(
NONEMPTY(
[Date].[Date].[Date]
,[Measures].[Internet Sales Amount]
)
,1
).Item(0).MemberValue
MEMBER [Measures].[Max Date - Reseller Sales Amount] AS
TAIL(
NONEMPTY(
[Date].[Date].[Date]
,[Measures].[Reseller Sales Amount]
)
,1
).Item(0).MemberValue
SELECT
{
[Measures].[Max Date - Internet Sales Amount],
[Measures].[Max Date - Reseller Sales Amount]
} ON 0
FROM
[Adventure Works]
If you want to get the single max date across all measures in the cube, you'll need to take a different approach.
Related
I am trying to set a calculated member to create alternate roll up for out legal entities.
Company XYZ as Co X + Co Y + Co Y.
I would to have all measures (expense, revenue etc) calculate for this new roll up.
Welcome to SO. Take a look at the following example, I am trying to add a calculated member to the Product.Category dimension attribute. This new member is called "Bikes&Accessories" and it results the data for any measure for "Bikes" & "Accessories" categories.
The first query shows the initial data
select
{
[Measures].[Internet Sales Amount],
[Measures].[Internet Order Quantity],
[Measures].[Internet Tax Amount],
[Measures].[Internet Gross Profit Margin]
}on 0 ,
[Product].[Category].allmembers
on 1
from
[Adventure Works]
Result
Now lets add the new calculated member. Observe that I have used different measures, each one is aggregated based on its type.
with member [Product].[Category].[Bikes&Accessories]
as
aggregate({[Product].[Category].&1,[Product].[Category].&[4]},[Measures].[Measures].currentmember)
select
{
[Measures].[Internet Sales Amount],
[Measures].[Internet Order Quantity],
[Measures].[Internet Tax Amount],
[Measures].[Internet Gross Profit Margin]
}on 0 ,
[Product].[Category].allmembers
on 1
from
[Adventure Works]
Result
I'm new to MDX querying. I am having trouble changing how the MDX output is formatted. I have made a similar example using the "Adventure Works Internet Sales Model". See below:
WITH
MEMBER [Measures].[Calculate YTD] AS
Sum
(
periodstodate([Date].[Calendar].[Year],[Date].[Calendar].CurrentMember)
,[Measures].[Internet Total Sales]
)
SELECT
{[Measures].[Internet Total Sales]
,[Measures].[Calculate YTD]
} ON COLUMNS,
[Date].[Calendar].[Month] ON ROWS
FROM [Adventure Works Internet Sales Model]
WHERE ([Date].[Date].&[2012-01-01T00:00:00]:[Date].[Date].&[2018-01-01T00:00:00])WHERE ([Date].[Date].&[2012-01-01T00:00:00]:[Date].[Date].&[2018-01-01T00:00:00])
the results looks like this:
MDX results
What I would like to see is that the "[Date].[Calendar].[Month]" row to be displayed as the end of month date (e.g. 31-Mar-2019)
Welcome to SO!
You could add in an additional column showing the last day of each month:
WITH
MEMBER [Measures].[Last Day of Month] AS
[Date].[Calendar].CurrentMember.LastChild.MEMBER_CAPTION
MEMBER [Measures].[Last Day of Month v2] AS
TAIL(EXISTING [Date].[Date].[Date].MEMBERS).ITEM(0).ITEM(0).MEMBER_CAPTION
MEMBER [Measures].[Calculate YTD] AS
Sum
(
periodstodate(
[Date].[Calendar].[Year],[Date].[Calendar].CurrentMember
)
,[Measures].[Internet Total Sales]
)
SELECT
{
[Measures].[Last Day of Month]
, [Measures].[Last Day of Month v2]
,[Measures].[Internet Total Sales]
,[Measures].[Calculate YTD]
} ON COLUMNS,
[Date].[Calendar].[Month]
ON ROWS
FROM [Adventure Works Internet Sales Model]
WHERE
(
[Date].[Date].&[2012-01-01T00:00:00]:
[Date].[Date].&[2018-01-01T00:00:00]
);
Output
Below is my query.
WITH
MEMBER [Measures].[Quantity - Prior Year] As
(
PARALLELPERIOD(
[Date].[Fiscal Year].[Fiscal Year]
, 2
, [Date].[Fiscal Year].CurrentMember
)
,[Measures].[Order Quantity]
)
SELECT
{
[Measures].[Order Quantity],
[Measures].[Quantity - Prior Year]
} ON AXIS(0)
, {DrilldownLevel([Date].[Fiscal])} ON AXIS(1)
FROM [Adventure Works]
CELL PROPERTIES VALUE, FORMAT_STRING, FORMATTED_VALUE
but the grand totals for calculated measure is always NULL?
Any help will be greatly appreciated.
It looks like "All Periods" is the system-generated All member for the [Date].[Fiscal Year] hierarchy.
From this Microsoft doc, it is the member with pre-aggregated measure values for all members in the [Date].[Fiscal Year] hierarchy. When this member is passed to the ParallelPeriod() function, it doesn't make sense to lag the aggregated value back 2 fiscal years, so it returns null.
SELECT
[Measures].[Internet Sales Amount] ON COLUMNS
,BottomCount
(
NonEmpty([Customer].[Customer].[Customer].MEMBERS)
,10
,[Measures].[Internet Sales Amount]
) ON ROWS
FROM [Adventure Works]
WHERE
[Date].[Calendar].[Calendar Year].&[2005];
The above query is showing me result having last 10 customer names with NULL measure value. I am using Adventure works Cube.
As per my understanding "bottomcount" is not working fine with where clause in "mdx" query. I want to fetch last 10 customer names for 2005 with measure value and hopefully i am looking for solution without using keyword "DESCENDANTS".
Please let me know in case, I am doing something wrong.
Give this a try:
bottomcount(
nonempty(
[Customer].[Customer].[Customer].Members
,[Measures].[Internet Sales Amount]
)
,10
,[Measures].[Internet Sales Amount]
)
You were getting the Customer names with NULL because in OLAP you are doing the cartesian product between the 2 dimensions (Measures is a special dimension, but it still acts as a dimension) it does not matter that you don't have values it will still crossjoin the members in your 2 sets and unless you request just the nonempty ones it will still give you the NULLs.
And if you'd like their full internet sales amount then move some of the logic into the WITH clause:
WITH
SET bot AS
NonEmpty
(
[Customer].[Customer].[Customer].MEMBERS
,(
[Measures].[Internet Sales Amount]
,[Date].[Calendar].[Calendar Year].&[2005]
)
)
SELECT
[Measures].[Internet Sales Amount] ON COLUMNS
,BottomCount
(
bot
,10
,[Measures].[Internet Sales Amount]
) ON ROWS
FROM [Adventure Works];
SELECT
[Measures].[Internet Sales Amount] ON COLUMNS
,Tail
(
[Date].[Calendar Year].[Calendar Year].MEMBERS
,2
) ON ROWS
FROM [Adventure Works];
Above MDX query gives me output as :
Year Internet Sales Amount
CY 2003 $9,791,060.30
CY 2004 $9,770,899.74
I understood how this query worked but I want to create Calculated measure in a cube which will always give me sum of bottom 2 years. How to do this? I am a newbie to SSAS. I am good at designing simple measures and dimensions but when it comes to using MDX, I am mostly stuck.
PS: I tried using TopCount, BottomCount etc but here I want to order by "Year", which is a dimension.
Any help would be appreciated.
Thanks,
Parry
The following query calculates a measure for sum the the last 2 years of the Date dimension:
WITH
MEMBER [Measures].[Sales from the last 2 Years]
AS Aggregate( Tail( [Date].[Calendar Year].[Calendar Year].Members, 2)
, [Measures].[Internet Sales Amount]
)
SELECT { [Measures].[Sales from the last 2 Years]
} ON COLUMNS
, { Tail( [Date].[Calendar Year].[Calendar Year].Members, 2)
} ON ROWS
FROM [Adventure Works]
Other interesting query, would be calculating a measure for the sum of each year and its previous:
WITH
MEMBER [Measures].[Sales from 2 years]
AS Aggregate( { [Date].[Calendar Year].CurrentMember.PrevMember
: [Date].[Calendar Year].CurrentMember }
, [Measures].[Internet Sales Amount]
)
SELECT { [Measures].[Internet Sales Amount]
, [Measures].[Sales from 2 years]
} ON COLUMNS
, NON EMPTY
{ [Date].[Calendar Year].[Calendar Year]
} ON ROWS
FROM [Adventure Works]
It does a sum, because the aggregation type of the measure [Measures].[Internet Sales Amount] is Sum, and the Aggregate function aggregates according to the measure's aggregation type.
Key Concepts in MDX
Aggregate function reference
MDX is a hard topic to grasp; if you're starting out, I recommend you read the book MDX Solutions, 2nd edition.