I'm working on a cube query in SSMS 2014, and my query is returning all columns, even those that include 0's and (null) values. I understand this is because the Date and Client Name are not empty.
With my MDX query below, how can I remove any column that includes a (null) value, or a count of zero for logins?
WITH
MEMBER [2MonthsPriorUniqueUsers] AS Sum({[Date].[Calendar Year Month].CurrentMember.Lag(2)},[Measures].[App Unique Users Loggedin])
MEMBER [1MonthPriorUniqueUsers] AS Sum({[Date].[Calendar Year Month].CurrentMember.Lag(1)},[Measures].[App Unique Users Loggedin])
MEMBER [1MonthPriorTotalAppLogins] AS Sum({[Date].[Calendar Year Month].CurrentMember.Lag(1)},[Measures].[App Logins])
MEMBER [Measures].[PercentUniqueIncreaseMoM] AS ([1MonthPriorUniqueUsers] / [2MonthsPriorUniqueUsers])-1,FORMAT_STRING = "Percent"
SELECT
NON EMPTY
{[Date].[Calendar Year Month].[201705]}
* [Project].[Client Name].members ON 0,
NON EMPTY
{
[Measures].[PercentUniqueIncreaseMoM]
,([1MonthPriorUniqueUsers])
,[2MonthsPriorUniqueUsers]
,[1MonthPriorTotalAppLogins]
} ON 1
FROM [MyCube]
Thanks in advance!
You want to use the NonEmpty() or the Filter() functions. For example, if you need to exclude empty records based on [Measures].[App Logins]:
WITH
MEMBER [2MonthsPriorUniqueUsers] AS Sum({[Date].[Calendar Year Month].CurrentMember.Lag(2)},[Measures].[App Unique Users Loggedin])
MEMBER [1MonthPriorUniqueUsers] AS Sum({[Date].[Calendar Year Month].CurrentMember.Lag(1)},[Measures].[App Unique Users Loggedin])
MEMBER [1MonthPriorTotalAppLogins] AS Sum({[Date].[Calendar Year Month].CurrentMember.Lag(1)},[Measures].[App Logins])
MEMBER [Measures].[PercentUniqueIncreaseMoM] AS ([1MonthPriorUniqueUsers] / [2MonthsPriorUniqueUsers])-1,FORMAT_STRING = "Percent"
SELECT
NON EMPTY
{[Date].[Calendar Year Month].[201705]}
* Filter([Project].[Client Name].members,[Measures].[App Logins]>0) ON 0,
NON EMPTY
{
[Measures].[PercentUniqueIncreaseMoM]
,([1MonthPriorUniqueUsers])
,[2MonthsPriorUniqueUsers]
,[1MonthPriorTotalAppLogins]
} ON 1
FROM [MyCube]
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 am working with a system were items are created (postDate dimension) and closed (endDate dimension). The endDate column is always populated with the last time the item was seen. An item is considered closed in a certain time if its last seen date is before the date you are querying. Each row in the fact table has the item, postDate, endDate, locationID, and some other dimensions used for aggregations. What I am trying to accomplish is getting all items still active for a given time frame. For example I want to know all items posted in November 2008 or before November 2008 that has not yet closed. In SQL it would look something like:
SELECT C.geoCountyArea,TM.CalendarYear,COUNT(DISTINCT a.itemid)
FROM [dbo].[factTable] a
JOIN dbo.dimDate AS TM
ON TM.DateKey BETWEEN postDate AND endDate
JOIN [dbo].[dim_geography] C
ON A.geographyID=C.geographyID
WHERE C.geoCountyArea = '1204000057'
AND TM.CalendarYear = 2008 AND TM.MonthNumberOfYear = 11
GROUP BY C.geoCountyArea,TM.CalendarYear
ORDER BY C.geoCountyArea,TM.CalendarYear
This returns 27,715 which is expected. Now, in MDX this looks like:
WITH MEMBER Measures.[itemCount] AS
AGGREGATE(
{NULL:[PostDate].[Month Name].&[2008]&[11]} * {[EndDate].[Month Name].&[2008]&[11]:NULL},
[Measures].[Fact_itemCount]
)
SELECT NON EMPTY (
Measures.[itemCount]
) ON 0,
NON EMPTY (
{[PostDate].[Month Name].&[2008]&[11]},
{[Geography].[Geo County Area].&[1204000057]}
)ON 1
FROM [Cube];
This returns 27,717 - which is 2 more than the SQL version that could be due to items with no end Date posted. Now, the complication comes when I want to get more than one explicit time - for example item count for all months in 2008 or item count for all years. I looked up methods to link a given param to another one via roll playing dimensions and came across this link. I altered my script so it looks like:
WITH MEMBER Measures.[itemCount] AS
AGGREGATE(
{NULL:LINKMEMBER([DATE].[Calendar].CURRENTMEMBER
,[PostDate].[Calendar])}
* {LINKMEMBER([DATE].[Calendar].CURRENTMEMBER
, [EndDate].[Calendar]):NULL}
, [Measures].[Fact_itemCount]
)
SELECT {Measures.[jobCount]} ON 0,
NON EMPTY (
{[DATE].[Month Name].&[2008]&[11]},
{[Geography].[Geo County Area].&[1204000057]}
)ON 1
FROM [Cube];
This, however, returns only the items created in November 2008 - value of 14,884. If I add in other months I do get individual counts for each month but, again, these are just the items created in those months.
How do I get the "active" item count for a given month/year/quarter without having do explicitly declare the time values in the AGGREGATE?
Can you use NonEmpty?
WITH MEMBER Measures.[itemCount] AS
AGGREGATE(
{NULL:
NONEMPTY(
[PostDate].[Month Name].MEMBERS //<<AMEND TO EXACT STRUCTURE USED IN YOUR CUBE
,[DATE].[Calendar].CURRENTMEMBER
).ITEM(0).ITEM(0)}
* {NONEMPTY(
[EndDate].[Month Name].MEMBERS //<<AMEND TO EXACT STRUCTURE USED IN YOUR CUBE
,[DATE].[Calendar].CURRENTMEMBER
).ITEM(0).ITEM(0): NULL}
, [Measures].[Fact_itemCount]
)
...
This ended up being the solution that provided valid results (tested against SQL calls against the warehouse tables):
WITH MEMBER Measures.[itemCount] AS
AGGREGATE(
{NULL:LINKMEMBER([Post Date].[Calendar],
[Post Date].[Calendar])}
* {LINKMEMBER([Post Date].[Calendar],
[End Date].[Calendar]):NULL},
[Measures].[Fact_itemCount]
)
SELECT {Measures.[itemCount]} ON 0,
NON EMPTY (
{[Post Date].[Month Name].Children},
{[Geography].[Geo County Area].&[1204000057]}
)
FROM [Cube]
Not that I am doing LINKMEMBER against the post and end dates - not against the global Date measure.
Supposing I have an electronics store with 10 types of articles and 50 sales persons. What can I do to get the average number of sold articles for the 10 persons with more sales for each type of article?
I started creating named sets for the top 10 persons for each article:
CREATE DYNAMIC SET CURRENTCUBE.[Top 10 Persons - Laptops]
AS TopCount([Dim Person].[Person Name].Members, 10, ([Measures].[Sales], [Dim Article].[Article Name].&[Laptop]));
CREATE DYNAMIC SET CURRENTCUBE.[Top 10 Persons - TVs]
AS TopCount([Dim Person].[Person Name].Members, 10, ([Measures].[Sales], [Dim Article].[Article Name].&[TV]));
I would do this for the other eight.
Then I was trying to create a calculated member for each article type. Each calculated member would sum the total sales for a particular article for the top 10 persons included in the corresponding named set, and then just divide that by 10.
How can I do this? Or, would you recommend a different approach?
I was able to find a solution to this. It is not necessary to create the named set. This is what I ended up doing:
Avg(TopCount([Dim Person].[Person Name].Children, 10, ([Measures].[Sales], [Dim Article].[Article Name].&[Laptop])), ([Measures].[Sales], [Dim Article].[Article Name].&[Laptop]))
I'm trying to get the number of facts that match a condition.
My desired output: the number of ratings that are bigger than 3.
What I actually get: the total number of user ratings in case that the average of the ratings is over 3.
This is my query:
With Member [Measures].[Number of possitive ratings] as
IIF(
[Measures].[User Rating] > 3,
[Measures].[Number of Users Rating],
0)
SELECT NON EMPTY
[Measures].[Number of possitive ratings] ON COLUMNS,
[Movie Year].[All Years] ON ROWS
FROM
[Rating]
When I replace [Measures].[Number of Users Rating] for 1, then I get 1 in case the average is over 3.
I don't like the idea of creating a new measure in the cube just for this.
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.