I need to get the top 50 sellers names per State from the cube
this is what I have so far
SELECT NON EMPTY ( [DimGeo].[State].[State].ALLMEMBERS *
[Measures].[Total Sales]) ON COLUMNS,
NON EMPTY TOPCOUNT([DimEmployee].[Employee ID].[EmployeeID].MEMBERS,50,[Measures].[Total Sales]) ON ROWS
FROM Sales
But this only gets 50 results (even if an state doesn't have 50 results). I want to limit the State results by the 50 non empty highest values.
Example: The final table will have 2500 results (top 50 reseller per 50 states).
Is there a way I could achieve this?
Thanks,
I guess you're looking for the Generate() function:
SELECT
NON EMPTY ( [Measures].[Total Sales]) ON COLUMNS,
NON EMPTY Generate( [DimGeo].[State].[State].ALLMEMBERS as s,
TOPCOUNT(s.currentMember * [DimEmployee].[Employee ID].[EmployeeID].MEMBERS, 50, [Measures].[Total Sales] ))
ON ROWS FROM fdmdw
Does this work for you, by moving the State to the Rows Level?
SELECT NON EMPTY ( [Measures].[Total Sales]) ON COLUMNS,
NON EMPTY ([DimGeo].[State].[State].ALLMEMBERS * TOPCOUNT([DimEmployee].[Employee ID].[EmployeeID].MEMBERS,50,[Measures].[Total Sales])) ON ROWS
FROM fdmdw
Related
In our MDX Queries, we use a template like the following WITH MEMBER . SELECT SUBSET . FROM (SELECT . FROM .) a lot.
What this particular query should do (and does!) is list all product variants matching a filter, and give the sales amount for it for a month in time. On the same row, we have the sales total of all variants of this product.
We need only a subset of the result (for paging), and the results need to ordered to allow paging of course. Then there is a non empty, so only product variants that were sold in the time period qualify.
This works just fine. Paging also works: putting 30, 60, 90 for Start in SUBSET is gives the correct results.
However, if I put a 1 as Count (SUBSET(..., x, 1)) the result of the "Price all" goes to (null) for each and any row I select with x. If I return two or more rows it works just fine, and all rows have their correct values.
Two results and the correct value in the rightmost column (in case you are wondering how the total of all variants, 67, can be lower than the sales of one particular variant (280): I picked a bad example - there was a return (so a negative sale) for another variant of this product, for 213. The 67 is correct and desired!)
One Row and a (null) result
I do not understand how or why the SUBSET count would interfere with the Tuple I select in the WITH MEMBER. If it does it for 30 rows at a time, why not for one?
*edit
I just tried, what would happen if I filter in a way that only one result matches (and SUBSET paging is set to "working values" of 0, 30): The same as in the 2nd screenshot, for one result row the WITH MEMBER evaluates to (null).
So it is not that SUBSET is the problem, but more general: When there is only one result row!
Could this be a bug in our SQL Server Version? It is SQL 2012 with SP4 and all latest security patches.
WITH
MEMBER [DIM Date].[HI Year_Month_Day].[CURRENT_MONTH] AS
[DIM Date].[HI Year_Month_Day].&[20201215].Parent /* Select Month of December */
MEMBER [MEASURES].[Price all] AS (
(
[DIM Products].[HI Products].Currentmember.Parent
, [DIM Products].[HI Subproduct].[Total]
)
, [MEASURES].[Price]
), FORMAT_STRING = '#,0' /* Get the parent product total next to every subproduct */
SELECT {
([DIM Datum].[HI Year_Month_Day].[CURRENT_MONTH], [MEASURES].[Price])
, ([DIM Datum].[HI Year_Month_Day].[CURRENT_MONTH], [MEASURES].[Price All])
} ON COLUMNS
, {
SUBSET(
ORDER(
NONEMPTY(
([DIM Products].[HI Produt Subproduct].[Subproduct])
, {([DIM Date].[HI Year_Month_Day].[CURRENT_MONTH], [MEASURES].[Price])}
)
, ([DIM Date].[HI Year_Month_Day].[CURRENT_MONTH], [MEASURES].[Price])
, BDESC
)
, 0
, 30
)
} ON ROWS
FROM (
SELECT
{[DIM StoreLocation].[HI Country].[Country].&[US]}
* {[DIM Productgroup].[HI Productgroup].[Productgroup].&[Bikes]}
ON COLUMNS
FROM [Cube]
)
I'm trying to display details from two rows into one using MDX. If I execute the MDX below, it returns 2 rows, one containing the 998 Key and one containing the 999 Key
SELECT NON EMPTY {
[Measures].[FactTableCount] } ON COLUMNS,
NON EMPTY { ([DimXXXX].[XXXXKey].[XXXXKey].ALLMEMBERS
* ([DimAAAA].[AAAAKey].[AAAAKey],{[DimBBBB].[Key].&[998],[DimBBBB].[Key].&[999]},[DimCCCC].[CCCCKey].[CCCCKey])
) } ON ROWS
FROM ( SELECT ( { [DimXXXX].[XXXXKey].&[MyValue] } ) ON COLUMNS
FROM [FactTable])
It returns something like this
(columns [DimXXXX].[XXXXKey], [DimAAAA].[AAAAKey], [DimBBBB].[Key], [DimCCCC].[CCCCKey], [Measures].[FactTableCount])
MyValue, MyAAAAKey1, 998, MyCCCCKey1, 1
MyValue, MyAAAAKey2, 999, MyCCCCKey2, 1
However I want to return one row like this
`(columns [DimXXXX].[Key], [DimAAAA].[AAAAKey], [DimAAAA].[AAAAKey], [DimBBBB].[Key], [DimBBBB].[Key], [DimCCCC].[CCCCKey], [DimCCCC].[CCCCKey], [Measures].[FactTableCount])
MyValue, MyAAAAKey1, MyAAAAKey2, 998, 999, MyCCCCKey1, MyCCCCKey2, 1
Among other things (such as using SETs, putting the 998/999 logic after the ROWS/COLUMNS, etc) I've tried
SELECT NON EMPTY {
[Measures].[FactTableCount] } ON COLUMNS,
NON EMPTY { ([DimXXXX].[XXXXKey].[XXXXKey].ALLMEMBERS
* ([DimAAAA].[AAAAKey].[Key],[DimBBBB].[Key].&[998],[DimCCCC].[CCCCKey].[CCCCKey])
* ([DimAAAA].[AAAAKey].[Key],[DimBBBB].[Key].&[999],[DimCCCC].[CCCCKey].[CCCCKey])
) } ON ROWS
FROM ( SELECT ( { [DimXXXX].[XXXXKey].&[MyValue] } ) ON COLUMNS
FROM [FactTable])
...however because the AAAAKey hierarchy is repeated I receive the error message "The AAAAKey hierarchy is used more than once in the Crossjoin function"
Is there a way to do do this ?
Based on your comment below I have a sample.Let me know if it works.
I think I can see what you're saying however the measures are one
thing, but the dimension values are another - say Record1:MyValue,
MyAAAAKey1, 998, MyCCCCKey1, 2 and Record2: MyValue, MyAAAAKey2, 999,
MyCCCCKey2, 5 - I would like to output MyValue, MyAAAAKey1,
MyAAAAKey2, 998, 999, MyCCCCKey1, MyCCCCKey2, 2, 5
So in the query below I am trying to simulate your problem.
select
{[Measures].[Internet Sales Amount]}
on columns,
non empty
([Customer].[City].[City],{[Product].[Category].&[1],[Product].[Category].&[3]},[Product].[Subcategory].[Subcategory])
on rows
from [Adventure Works]
Result
Now onw way is to take the changing values to columns, "{[Product].[Category].&1,[Product].[Category].&2}" in my case and "{[DimBBBB].[Key].&[998],[DimBBBB].[Key].&[999]}" in your case
select
{
({[Product].[Category].&[1],[Product].[Category].&[3]},[Measures].[Internet Sales Amount]),
([Product].[Category].defaultmember,[Measures].[Internet Order Quantity])
}
on columns,
non empty
([Customer].[City].[City],[Product].[Subcategory].[Subcategory])
on rows
from [Adventure Works]
Result:
Note how the values are only repeated for the relevent column. This does add an extra column but you rows are now half the orignal count.
Edit: to handle the requirement based on the comment
1st row of the grid would be Ballard, Bikes, Mountain Bikes, Road
Bikes. The 2nd: Ballard, Clothing, Caps, Gloves. The 3rd: Barstow,
Bikes, Road Bikes, null. I want to merge/list the actual dimension
values
So to achieve above we have two options. But in either case some manipulation on UI would be required.
1)First option
with member
measures.t
as (nonempty(existing([Customer].[City].currentmember,[Product].[Category].currentmember,[Product].[Subcategory].[Subcategory].members),[Measures].[Internet Sales Amount])).item(0).item(2).name
member measures.t1
as (nonempty(existing([Customer].[City].currentmember,[Product].[Category].currentmember,[Product].[Subcategory].[Subcategory].members),[Measures].[Internet Sales Amount])).item(1).item(2).name
select
{measures.t,measures.t1}
on columns,
nonempty(([Customer].[City].[City],{[Product].[Category].&[1],[Product].[Category].&[3]}),[Measures].[Internet Sales Amount])
on rows
from [Adventure Works]
2)The second option,
with member
measures.t1
as
[Customer].[City].currentmember.name
member measures.t2
as
[Product].[Category].currentmember.name
member measures.t3
as (nonempty(existing([Customer].[City].currentmember,[Product].[Category].currentmember,[Product].[Subcategory].[Subcategory].members),[Measures].[Internet Sales Amount])).item(0).item(2).name
member measures.t4
as (nonempty(existing([Customer].[City].currentmember,[Product].[Category].currentmember,[Product].[Subcategory].[Subcategory].members),[Measures].[Internet Sales Amount])).item(1).item(2).name
select
{measures.t1,measures.t2,measures.t3,measures.t4}
on columns,
nonempty(([Customer].[City].[City],{[Product].[Category].&[1],[Product].[Category].&[3]}),[Measures].[Internet Sales Amount])
on rows
from [Adventure Works]
We currently have a query that shows the value of total quantity, or sales across store locations and departments, I intersect the quantity sold aggregated measure against locations, and the results are fine.
When we try to filter by total qty > 500, I am only seeing the sum of quantity evaluated by the location's value, not grouped by location and department.
HAVING is not seemingly supported, and if I include a where filter at the bottom, there is an issue with the same family/members being used multiple times and it's not allowed.
SELECT
{HEAD([dim_productfamily.hier_productfamily].[lvl_department].Members, 5)}
ON ROWS,
FILTER
(
{HEAD([dim_locations.hier_locations].[lvl_location].Members, 5) * [Measures].[total_qty]},
[Measures].[total_qty] > 500
)
ON COLUMNS
FROM
[sales_daily]
WHERE
{[dim_date.hier_date].[lvl_date].[20170521] : [dim_date.hier_date].[lvl_date].[20170730] }
The above query returns fine, but I get values that I've tested only really compare against the location sum(total_qty).
EDIT for Different Grouping
I tried using the below query, which seems to work. I think the way we render a table is improper in this case, as the output does seem to work fine.
SELECT
FILTER
(
{HEAD([dim_productfamily.hier_productfamily].[lvl_department].Members, 5) * HEAD([dim_locations.hier_locations].[lvl_location].Members, 5)},
[Measures].[total_qty] > 26
)
ON ROWS,
[Measures].[total_qty]
ON COLUMNS
FROM
[sales_daily]
WHERE
{[dim_date.hier_date].[lvl_date].[20170521] : [dim_date.hier_date].[lvl_date].[20170730] }
Is this what you were thinking?
The issue is that in your filter you really have not grouped by location and department. You have only grouped by location. An easy fix is the you bring both location and product on the same axis and that the measure on the oposite axis. Then filter it. It would work.
Looking at the problem again, you can query it in the below manner. This will let you use the orignal grouping.
WITH
MEMBER [Measures].[Data Type3] AS ([Geography].[Country].CurrentMember,[Product].[Product].CurrentMember,[Measures].[Reseller Sales Amount])
SELECT
FILTER
(
{[Product].[Product].Members}
,[Measures].[Reseller Sales Amount] > 2000
)
ON rows,
FILTER
(
([Geography].[Country].members, {[Measures].[Reseller Sales Amount]
,[Measures].[Data Type3]}),
[Measures].[Reseller Sales Amount] > 2000
)
ON columns
FROM
[Adventure Works]
I'm trying to write a query to give me the total number of users for each customer per day.
Here is what I have so far, which for each customer/day combination is giving the total number of user dimension entries without splitting them up by customer/day.
WITH MEMBER [Measures].[MyUserCount]
AS COUNT(Descendants([User].CurrentMember, [User].[User Name]), INCLUDEEMPTY)
SELECT
NON EMPTY CrossJoin([Date].[Date].Members, [Customer].[Customer Name].Members) ON ROWS,
{[Measures].[MyUserCount]} on COLUMNS
FROM
[Users]
The problem with your calculated member is that [User].CurrentMember is set to the All member for every row tuple, and thus the count is the total. What you need is a way for the [Customer].CurrentMember and [Date].CurrentMember to effectively filter the [User] dimension.
You need to use a measure that makes sense, i.e. that will have a non-empty value for meaningful joins of the dimension members that you're interested in.
To find this out, you could start by running a query like this:
SELECT
NON EMPTY CrossJoin(
[User].[User Name].Members,
[Measures].[Some measuse]
) ON COLUMNS,
NON EMPTY CrossJoin(
[Date].[Date].Members,
[Customer].[Customer Name].Members
) ON ROWS
FROM [Project]
You would have selected Some measure adequately. The results of that query will be a lot of empty cells, but in a given row, the columns that do have a value correspond to the Users that are related to a given Customer x Date tuple (on the row). You want to count those columns for every row. COUNT and FILTER are what you need, then the query with the calculated member will be
WITH MEMBER [Measures].[User count] AS
COUNT(
FILTER(
[User].[User Name].Members,
NOT ISEMPTY([Measures].[Some measure])
)
)
SELECT
NON EMPTY {[Measures].[User count]} ON COLUMNS,
NON EMPTY CrossJoin(
[Date].[Date].Members,
[Customer].[Customer Name].Members
) ON ROWS
FROM [Users]
I am assuming a fair bit here, but with some experimentation you should be able to work it out.
with member [Measures].[BoughtDispenser] as
Sum(Descendants([Customer].[Customer].CurrentMember, [Customer].[Customer]),
Iif(
(IsEmpty(([Item].[ItemNumber].&[011074], [Measures].[Sale Amount]))
And IsEmpty(([Item].[ItemNumber].&[011069], [Measures].[Sale Amount]))
)
Or IsEmpty([Measures].[Sale Amount]),
0 , 1
)
)
select
{[Measures].[Sale Amount]} on columns,
non empty filter([Customer].[Customer].children, [Measures].[BoughtDispenser])
* {[Item].[ItemNumber].members}
on rows
from [Sales]
where [EnteredDate].[Quarter].&[2010-01-01T00:00:00]
;
The object is to show all the items purchased by customers who also bought either of the two dispensers (011069 and 011074).
I based the calculated member on a query I found to do basket analysis. I feel like there should be a way to write it with the set {[Item].[ItemNumber].&[011074], [Item].[ItemNumber].&[011069]} instead of the two IsEmpty tests. Everything I've tried ended up having every Customer in the result.
My environment is SQL Server Analysis Services 2005.
Yes I can! It just required a slightly different approach to the calculated member:
with member [Measures].[BoughtDispenser] as
Sum(Descendants([Customer].[Customer].CurrentMember, [Customer].[Customer])
* {[Item].[ItemNumber].&[011069], [Item].[ItemNumber].&[011074]},
[Measures].[Quantity Shipped]
)
select
{[Measures].[Sale Amount]} on columns,
non empty filter([Customer].[Customer].children, [Measures].[BoughtDispenser])
* {[Item].[ItemNumber].members}
on rows
from [Sales]
where [EnteredDate].[Quarter].&[2010-01-01T00:00:00]
;