I have a requirement displaying data from same dimension in more than 1 column. For eg. I want to show data Year and Month wise. In my dimension structure, Year and Month belongs to same hierarchy. When I run below query I get error. PFB the query.
Select NON EMPTY {[Measures].[Target Actual Value]} ON 0,
NON EMPTY {[Realization Date].[Hierarchy].[Year Name].Members *
[Realization Date].[Hierarchy].[Month Year]} ON 1
From [Cube_BCG_OLAP]
The error I get is Query (2, 12) The Hierarchy hierarchy is used more than once in the Crossjoin function. I am new to MDX queries. Please help in this regard. Thanks in advance.
Select NON EMPTY {[Measures].[Target Actual Value]} ON 0,
NON EMPTY {[Realization Date].[Hierarchy].[Year Name].Members ,
[Realization Date].[Hierarchy].[Month Year]} ON 1
From [Cube_BCG_OLAP]
Instead of CROSSJOIN have a set as above. In a set, you can put members from same hierarchy
I like Sourav's answer - but it will put the results in one column which is slightly different than the question.
In AdvWorks this is in one column:
SELECT
[State-Province].MEMBERS ON COLUMNS
,{
[Date].[Calendar].[Calendar Year].MEMBERS
,[Date].[Calendar].[Month].MEMBERS
} ON ROWS
FROM [Adventure Works];
It is possible to switch to two columns and use a cross join but you need to find out the details of your Date dimensions Attribute hierarchies (as opposed to User hierarchies):
SELECT
[State-Province].MEMBERS ON COLUMNS
,
[Calendar Year].[All Periods].Children
* [Month].MEMBERS ON ROWS
FROM [Adventure Works];
In your cube maybe something like this:
SELECT
NON EMPTY
{[Measures].[Target Actual Value]} ON 0
,NON EMPTY
[Year Name].MEMBERS
*
[Month Year].MEMBERS ON 1
FROM [Cube_BCG_OLAP];
Related
could you help me with someting please. I have an MDX query who slice my cube with a Named Set, these results are great, however I need to create a calculated measure and I have not been able to "rewrite" my where clause in the calculated expression.
This MDX works as I need:
select non empty [Measures].[Demanda Real] on 0,
non empty [Agente Distribuidor].[Nombre Distribuidor].[Nombre Distribuidor].members on 1
from Demanda
where [SkSubmercadoUsuario]
I tried to rewrite the above query and it doesn't work:
with member [Measures].[Demanda Real Nueva]
as
([Measures].[Demanda Real],[SkSubmercadoUsuario])
select [Measures].[Demanda Real Nueva] on 0,
non empty [Agente Distribuidor].[Nombre Distribuidor].[Nombre Distribuidor].members on 1
from Demanda
If I am correct, you want your measure "[Measures].[Demanda Real]" to always have a filter named set "[SkSubmercadoUsuario]". I translated your senario to adventure works. First run the create set part alone. Then the next two parts, with first part commented
create SET [Adventure Works].[testSet] AS ([Geography].[State-Province].&[NY]&[US])
Now comment the above part and run
Select [Measures].[Reseller Sales Amount]
on columns,
non empty
[Product].[Product].[Product]
on rows
from [Adventure Works]
where
[testSet]
Now run the third part
with member [Measures].[Test]
as
'('+(settostr([testSet]) ) + ',[Measures].[Reseller Sales Amount])'
Select (strtoset([Measures].[Test]))
on columns,
non empty
[Product].[Product].[Product]
on rows
from [Adventure Works]
WITH
MEMBER CostDifference AS
Sum([Measures].[ExtendedCost]) - [Measures].[ExtendedCost]
SELECT
NON EMPTY
{
[Measures].[ExtendedCost]
,CostDifference
} ON COLUMNS
,NON EMPTY
{[Parts].[ItemDesc].MEMBERS, [Dim Date].[DateUK].MEMBERS} ON ROWS
FROM [Cube]
I'm trying to subtract a measures across different dimensions i.e. for 2 date snapshots (31/1/2010 and 28/2/2010) for all the products in DimParts
if I remove this piece of code from equation then all I get is zeros
[Dim Date].[DateUK].MEMBERS
If I use a cross join to add more than one dim even then the cost difference is zero
e.g. ,NON EMPTY
CrossJoin
(
[Parts].[ItemDesc].MEMBERS
,{[Dim Date].[DateUK]}
) ON ROWS
I'm using SQl Server 2008R2
What am I missing here.
This Sum([Measures].[ExtendedCost]) - [Measures].[ExtendedCost]
Will resolve to this
[Measures].[ExtendedCost] - [Measures].[ExtendedCost]
Which is always 0
If this Sum([Measures].[ExtendedCost]) needs to be across a complete set then you need to include that set:
Sum(
[Dim Date].[DateUK].MEMBERS
,[Measures].[ExtendedCost]
)
I am trying to learn MDX. I am an experienced SQL Developer.
I am trying to find an example of an MDX query that has more than two dimensions. Every single webpage that talks about MDX provides simple two dimensional examples link this:
select
{[Measures].[Sales Amount]} on columns,
Customer.fullname.members on rows
from [Adventure Works DW2012]
I am looking for examples that use the following aliases: PAGES (third dimension?), section (forth dimension?) and Chapter (fifth dimension?). I have tried this but I do not think it is correct:
select
{[Measures].[Sales Amount]} on columns,
Customer.fullname.members on rows,
customer.Location.[Customer Geography] as pages
from [Adventure Works DW2012]
I am trying to get this output using an MDX query (this is from AdventureWorks DW2012):
That's not a 3-dimensional resultset in your screenshot, unless there's something cropped from it.
Something like
SELECT [Geography].[Country].Members ON 0,
[Customer].[CustomerName].Members ON 1
FROM [whatever the cube is called]
WHERE [Measures].[Sales Amount]
(dimension/hierarchy/level names may not be exactly right)
would give a resultset like the one in your message.
The beyond 2nd-dimension dimensions and dimension names are not used in any client tool that I know. (Others may know different). They seem to be there in MDX so that MDX can hand >2-dimensional resultsets to clients that can handle them (e.g. an MDX subquery handing its results to the main query).
An often-used trick in MDX is to get the members of two dimensions onto one axis by cross-joining:
SELECT
{[Date].[Calendar Date].[Calendar Year].Members * [Geography].[Country].Members} ON 0,
[something else] ON 1
FROM [Cube]
How about the following - it does not send more than two dimensions back to a flat screen but it uses quite a few dimensions explicitly:
SELECT
[Measures].[Sales Amount] ON O,
[Customer].[fullname].MEMBERS ON 1
FROM
(
SELECT
[Date].[Calendar Month].[Calendar Month].&[February-2012] ON 0,
[Geography].[Country].[Country].&[Canada] ON 1,
[Product].[Product].&[Red Bike] ON 2,
[Customer].[Customer].&[foo bar] ON 3
FROM [Adventure Works DW2012]
)
I've made up the dimension | hierarchy | member combinations as I do not have access to the cube.
Also if we consider implicit dimensions then take the following:
SELECT
[Customer].[Location].[Customer Geography] ON 0,
[Customer].[fullname].[fullname].&[Aaron Flores] ON 1
FROM [Adventure Works DW2012]
WHERE
(
[Measures].[Sales Amount]
);
On the slicer I've used braces (..) which indicate a tuple, but this is actually shorthand for the following:
SELECT
[Customer].[Location].[Customer Geography] ON 0,
[Customer].[fullname].[fullname].&[Aaron Flores] ON 1
FROM [Adventure Works DW2012]
WHERE
(
[Measures].[Sales Amount]
,[Date].[Calendar Month].[Calendar Month].[All],
,[Geography].[Country].[Country].[All],
,[Product].[Product].[All]
,...
,...
....
);
The All member from every dimension in the cube could be included in this slicer without affecting the result.
So the whole nature of mdx is multi-dimensional - yes you do not get more than a 2 dimensional table returned to your screen but the way you get to that cellset could well involve many dimensions.
Can any one tell me how to get the record count that is a result of a MDX query?I have tried various methods and I haven't really got a solution for that.I am a beginner in MDX queries.
WITH
MEMBER [Measures].[amount] as
COUNT(
[your_dimension].[your_dimension_property].Members
)
SELECT {[Measures].[amount]} ON COLUMNS
FROM [your_awesome_cube]
A code like this will return to you the amount of members in your dimension, the COUNT method have this syntax
Count(Set_Expression [ , ( EXCLUDEEMPTY | INCLUDEEMPTY ) ] )
so you can do a lot of things, like filter your search
Create a measure in the cube that is a count or distinct count.
1) open the cube
2) Right click on the fact table on which that measure sits
3) Select New Measure...
4) Dropdown the list and select the aggregation
5) In the source column section, select the column you want the aggregation on (if u cant find it, click on show all columns on the bottom- this depends on what you are aggregating)
with member
Measures.Counts as
[your_dimension].[your_dimension_property].Children.COUNT
select Measures.Counts on 0
FROM [your_awesome_cube]
When you say record count, you basicly are saying the valid combinations of your row axis.
Lets take a basic example, the query returns 3637 rows, of which 1 row is parctically the column name row.
select [Measures].[Sales Amount] on columns,
(
[Customer].[Country].[Country],
[Product].[Product].[Product]
) on rows
from [Adventure Works]
Now to get the row count without running the query, lets put the combinations in count function and put the count function in a runtime measure
This Returns 3636 row.
with member [Measures].[rowCount]
as
count(([Customer].[Country].[Country],[Product].[Product].[Product]))
select [Measures].[rowCount] on columns from [Adventure Works]
Notice I have not eleminated the null combinations on rows. Lets do that next
The query returns 2101 rows , again one row from column headers.
select [Measures].[Sales Amount] on columns,
non empty
(
[Customer].[Country].[Country],
[Product].[Product].[Product]
) on rows
from [Adventure Works]
Now lets count the rows
This returns 2100 rows.
with member [Measures].[rowCount]
as
count(nonempty(( [Customer].[Country].[Country],[Product].[Product].[Product])
,{[Measures].[Sales Amount]}
))
select [Measures].[rowCount]
on columns from [Adventure Works]
Till now we had measure from just one measure group, now lets try with multiple measure groups.
select {[Measures].[Sales Amount],[Measures].[Internet Sales Amount]} on columns,
non empty
(
[Customer].[Country].[Country],
[Product].[Product].[Product]
) on rows
from [Adventure Works]
//Cell set consists of 2101 rows and 3 columns.
//Wrong way
with member [Measures].[rowCount]
as
count(nonempty(( [Customer].[Country].[Country],[Product].[Product].[Product])
,{[Measures].[Internet Sales Amount]}
))
select [Measures].[rowCount] on columns from [Adventure Works]
//935
//Right way
with member [Measures].[rowCount]
as
count(nonempty(( [Customer].[Country].[Country],[Product].[Product].[Product])
,{[Measures].[Sales Amount],[Measures].[Internet Sales Amount]}
))
select [Measures].[rowCount]
on columns from [Adventure Works]
///2100
Notice when we use just a single measure the result may not be correct . If the measure we use has a null value then the combination would be removed. Where as in our rows the other measure will ensure that the combination appears.
Now Lets add a filter to the picture.
select {[Measures].[Sales Amount],[Measures].[Internet Sales Amount]} on columns,
non empty
filter(
(
[Customer].[Country].[Country],
[Product].[Product].[Product]
)
,[Measures].[Internet Sales Amount]>5000) on rows
from [Adventure Works]
//Cell set consists of 586 rows and 3 columns.
//Wrong way
with member [Measures].[rowCount]
as
count(nonempty(( [Customer].[Country].[Country],[Product].[Product].[Product])
,{[Measures].[Sales Amount],[Measures].[Internet Sales Amount]}
))
select [Measures].[rowCount]
on columns from [Adventure Works]
//2100
//Right way
with member [Measures].[rowCount]
as
count(nonempty(
filter(([Customer].[Country].[Country],[Product].[Product].[Product]),[Measures].[Internet Sales Amount]>5000)
,{[Measures].[Sales Amount],[Measures].[Internet Sales Amount]}
))
select [Measures].[rowCount]
on columns from [Adventure Works]
///585
Again till i gave the RowCount measure the exact senario that I have on my row axis it fails.
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.