I am unable to get periodsToDate to work in MDX. I am getting the sum value when i am setting the periods to year level, but i am unable to get the sum values for quarters, months and days level.
This is my query for the year level (which is working fine).
With MEMBER [Measures].[Cumul Claim Cost] AS
'Sum
(
PERIODSTODATE
(
[Valuation Date].[Year].[All].Level,
[Valuation Date].[Year].CurrentMember
)
,[Measures].[Cost]
)'
select
{[Measures].[Cumul Claim Cost], [Measures].[Cost]} on columns,
{[Valuation Date].[Date].Members} on rows
from [WVWC DATA CUBE FROI SROI]
And this is my query for days level which is not working.
With MEMBER [Measures].[Cumul Claim Cost] AS
'Sum
(
PERIODSTODATE
(
[Valuation Date].[Year].[All].Level,
[Valuation Date].[Year].[Month-Year].[Quarter- Year].[Date].CurrentMember
)
,[Measures].[Cost]
)'
select
{[Measures].[Cumul Claim Cost], [Measures].[Cost]} on columns,
{[Valuation Date].[Date].Members} on rows
from [WVWC DATA CUBE FROI SROI]
Please help.
Thanks.
Nevermin guys, I was able to get the correct query after tons of hit and trials.
with MEMBER [Measures].[Cumul Claim Cost] AS 'Sum ( PERIODSTODATE (
[Valuation Date].[All].level,
[Valuation Date].CurrentMember ) ,[Measures].[Cost] )'
select {[Measures].[Cumul Claim Cost], [Measures].[Cost]} on
columns, NON EMPTY {[Valuation Date].[Quarter- Year]} on rows from
[WVWC DATA CUBE FROI SROI]
Related
i have been doing a query to get previous year value in MDX but can't the the desired output. In sql i would do it like this. Question is how do i apply this query in MDX?
select data1, sum(data2) as sumthisyear, sumlastyear
from table1 a
left outer join
( select data1, sum(data2) 'sumlastyear'
from table1
where tableyear = 2017 group by data1
) b on a.data1 = b.data1
where tableyear= '2018' and datafilter = 'SampleFilter'
group by data1, sumlastyear
SSAS Cube Structure Image
I have done some research and did mdx function like parallelperiod but not giving the correct values as data are filtered based on 2018 year.
Here's my MDX query
CREATE MEMBER CURRENTCUBE.Measures.[SPLY Registered Sales] AS
iif( [DimProdDate].[Dates].CurrentMember Is
[DimProdDate].[Dates].[All].LastChild,
( PARALLELPERIOD( [DimProdDate].[Dates].[Calendar Year],
1,
Tail( NonEmpty( [DimProdDate].[Dates].[Full Date].MEMBERS,
[MEASURES].[Registered Sales]),
1
).Item(0)
),
[MEASURES].[Registered Sales] ),
( PARALLELPERIOD( [DimProdDate].[Dates].[Calendar Year],
1,
[DimProdDate].[Dates].CurrentMember
),
[MEASURES].[Registered Sales] )
);
Any help will be very much appreciated.
Thanks!
How can I create a measure that has previous years Qty SHipped by month that will be used against a Current year measure showing a variance?
I want to take last years qty shipped minus the Plan(I already have this measure working) to get a variance. I have a dimension called dates that has a YY.
example calc..
[Measure].[pyqty] - [Measure].[Plan]
Thanks.
May help you something like this:
It calculates the QTD of the parallel previous period
WITH MEMBER [Measures].[Current QTD] AS
Sum
(
QTD([Date].[Calendar].CurrentMember)
,[Measures].[Internet Order Quantity]
)
MEMBER [Measures].[Last QTD] AS
Sum
(
YTD
(
ParallelPeriod
(
[Date].[Calendar].[Calendar Quarter]
,1
,[Date].[Calendar].CurrentMember
)
)
,[Measures].[Internet Order Quantity]
)
select {[Measures].[Current QTD],[Measures].[Last QTD]} ON 0
FROM [Adventure Works]
WHERE [Date].[Calendar].[Month].&[2005]&[11]
Take a o look at Time Calculations, in order to add time intelligence to your cube
I have some MDX queries with calculated members than when I run them in SSMS run very fast.
But when I implement these calculated members in the cube and run them, it's very slowly.
Any ideas of this behavior?
This is the query that runs smoothly in SSMS, but it takes forever when I query the cube from Excel or Tableau (against the same calculated members in the Cube)
with member [Measures].[Sales BUM Avg 3Months]
as
sum(
lastperiods(3, ancestor([Date].[Calendar].currentMember,[Date]. [Calendar].[Calendar Year Month])), [Measures].[Sales Month BUM]
)
/
count(
nonempty(lastperiods(3, ancestor([Date].[Calendar].currentMember,[Date].[Calendar].[Calendar Year Month])), [Measures].[Sales Month BUM])
)
member [Measures].[CoverageSalesBUM]
as
sum([Measures].[Unrestricted BUM])
/
sum([Measures].[Sales BUM Avg 3Months] )
select non empty { [Measures].[Unrestricted BUM] , [Measures].[Sales BUM Avg 3Months] } on 0
,non empty([Date].[Calendar].[Calendar Date] , [Plant].[Plant].[Plant],[Material].[Material].[Material].[149249] ) on 1
from [InventCoverage]
(More of a code review than an answer, as I don't know much about cube scripts so cannot comment on what you might need to do to the cube)
Is you first calculation not a re-invention of the function Avg?
Also in you second calc why do you need to apply Sum()? If this is the aggregation set in the cube then no need to explicitly say Sum. Also apparently Divide is quite a recent introduction and maybe marginally more efficient
WITH
MEMBER [Measures].[Sales BUM Avg 3Months] AS
Avg
(
LastPeriods
(3
,Ancestor
(
[Date].[Calendar].CurrentMember
,[Date].[Calendar].[Calendar Year Month]
)
)
,[Measures].[Sales Month BUM]
)
MEMBER [Measures].[CoverageSalesBUM] AS
Divide
(
[Measures].[Unrestricted BUM]
,[Measures].[Sales BUM Avg 3Months]
)
SELECT
NON EMPTY
{
[Measures].[Unrestricted BUM]
,[Measures].[Sales BUM Avg 3Months]
} ON 0
,NON EMPTY
(
[Date].[Calendar].[Calendar Date]
,[Plant].[Plant].[Plant]
,[Material].[Material].[Material].[149249]
) ON 1
FROM [InventCoverage];
I've below MDX query which gives me YTD amount for each my device perfectly, but I want count of those YTD days taken in consideration while calculating YTD amount.
How can I achieve those YTD days counts in my query?
WITH
MEMBER [Settlement Date].[Calendar].[CalendarYTD] AS
Aggregate
(
YTD
(
[Settlement Date].[Calendar].[Settlement Calendar Month].&[201412]
)
)
SELECT
[Settlement Date].[Calendar].[CalendarYTD] ON COLUMNS
,NON EMPTY
[Device].[DeviceID].Children ON ROWS
FROM [cube1]
WHERE
[Measures].[amount];
OR
you can use below AW MDX query while making changes which give same results as my above query:
WITH
MEMBER [Date].[Calendar].[CalendarYTD] AS
Aggregate(YTD([Date].[Calendar].[Month].[March 2015]))
SELECT
[Date].[Calendar].[CalendarYTD] ON COLUMNS
,[Product].[Category].Children ON ROWS
FROM [Adventure Works]
WHERE
[Measures].[Order Quantity];
this is a little swapped around but hopefully heading in the direction you require:
WITH
MEMBER [Date].[Calendar].[CalendarYTD] AS
Aggregate(YTD([Date].[Calendar].[Month].[March 2007]))
MEMBER [Measures].[DaysCompleteCurrYear] AS
Descendants
(
YTD([Date].[Calendar].[Month].[March 2007])
,[Date].[Calendar].[Date]
,SELF
).Count
SELECT
{
[Measures].[DaysCompleteCurrYear]
,[Measures].[Order Quantity]
} ON COLUMNS
,[Product].[Category].Children ON ROWS
FROM [Adventure Works]
WHERE
[Date].[Calendar].[CalendarYTD];
If we put the target month into a single member set then the family relationships are preserved and we can use that set in the custom measures:
WITH
SET [targMth] AS
{[Date].[Calendar].[Month].[March 2007]}
MEMBER [Date].[Calendar].[CalendarYTD] AS
Aggregate(YTD([targMth].Item(0).Item(0)))
MEMBER [Measures].[DaysCompleteCurrYear] AS
Descendants
(
YTD([targMth].Item(0).Item(0))
,[Date].[Calendar].[Date]
,SELF
).Count
SELECT
{
[Measures].[DaysCompleteCurrYear]
,[Measures].[Order Quantity]
} ON COLUMNS
,[Product].[Category].Children ON ROWS
FROM [Adventure Works]
WHERE
[Date].[Calendar].[CalendarYTD];
My SSAS cube has the following fact and dimensions with the columns as shown below
FactActivity
DateKey, UserKey, ActivityKey, ActivityCount
DimDate
DateKey, Date, Week, Year
DimUser
UserKey, UserName, Gender
DimActivity
ActivityKey, ActivityName
I have created the distinct count measures of users and dates as follows
[Distinct Users]
COUNT(NONEMPTY([DimUser].[UserKey].[UserKey].Members, [Measures].[ActivityCount])
[Distinct Dates]
COUNT(NONEMPTY([DimDate].[DateKey].[DateKey].Members, [Measures].[ActivityCount])
Both these measures are working correctly as expected when I slice/pivot by ActivityName.
Now I wanted to calculate average days per user, so I created the metric as follows
[Avg Days Per User]
AVG([DimUser].[UserKey].[UserKey].Members, [Measures].[Distinct Dates])
But this is giving me wrong results.! i also tried
DIVIDE([Measures].[Distinct Days], [Measures].[Distinct Users])
Still I get wrong results...what i'm doing wrong?
Maybe just adding in EXISTING will help?
AVG(
EXISTING [DimUser].[UserKey].[UserKey].Members,
[Measures].[Distinct Dates]
)
Although trying to recreate something similar in AdvWks I seem top get a valid return without EXISTING:
WITH
MEMBER [Measures].[Avg Count Per Reseller] AS
Avg
( [Reseller].[Reseller].[Reseller].MEMBERS
,[Measures].[Reseller Order Count]
), format_string = "0.0000"
SELECT
{[Measures].[Reseller Order Count],[Measures].[Avg Count Per Reseller]} ON 0
,{[Promotion].[Promotion].[All Promotions].Children} ON 1
FROM [Adventure Works]
WHERE [Date].[Calendar Year].&[2005];