I have two measures. The first is amount, and the second consist of values -1,0 and 1, so table looks like this:
Amount Sign
--------------
400 -1
200 1
300 0
Result I want to get is 400*(-1) + 200*1 + 300*0 = -200, but I am getting (400+200+300)*(-1+1+0) = 0
This is my calculated member:
WITH
MEMBER [Measures].[Result]
AS
[Measures].[Sign]*[Measures].[Amount]
select
[Measures].[Result] on 0,
[Time].[Time].members on 1
from [MyCube]
In you SSAS project, go to the datasource view, for the underlying fact table add a NamedCalculation. In that do the multiplication that you explained. Now in the Cube add that as a measure. It will behave exactly like you want it to behave.
Related
What I want to do is generate a report containing an overview of gains and losses (of contracts). For example:
Year | contract_gains | contract_losses
_______________________________________
2015 | 10 | 2
2016 | 15 | 4
Showing the gains is quite easy because I can just count distinct contracts (which is the aggregator for the measure value) with a start period.
SELECT
{[contract_start_date].[year].MEMBERS}
ON ROWS,
{[Measures].[value]}
ON COLUMNS
FROM Cube
Showing the losses seperately is also easy because I can do the same with the second date dimension.
SELECT
{[contract_end_date].[year].MEMBERS}
ON ROWS,
{[Measures].[value]}
ON COLUMNS
FROM Cube
But what I want to do is generate a report containing both of the values in a single report. Sadly I have no idea how I can do this.
A little slow method, going cell by cell. Does this work for you -
WITH MEMBER [Measures].contract_losses AS
(
GENERATE
(
[contract_start_date].[year].CURRENTMEMBER,
FILTER
(
[contract_end_date].[year].MEMBERS,
CStr([contract_start_date].[year].CURRENTMEMBER.MEMBER_VALUE) = CStr([contract_end_date].[year].CURRENTMEMBER.MEMBER_VALUE)
)
).ITEM(0)
,
[Measures].[value]
)
MEMBER [Measures].contract_gains AS
[Measures].[value]
SELECT
NON EMPTY {[contract_start_date].[year].MEMBERS}
ON ROWS,
{[Measures].contract_gains, [Measures].contract_losses}
ON COLUMNS
FROM [Cube]
I've been building an MDX query using excel's powerpivot. I connect to my cube, drag and drop Measures /Dimensions and my query has been working just fine. Up until I try to pull different dimensions.
A simple version of my query:
SELECT
NON EMPTY { [Measures].[EP Projected Impressions] } ON COLUMNS,
NON EMPTY { ([EP Hierarchy].[EP Tactic ID].[EP Tactic ID].ALLMEMBERS ) } ON ROWS
FROM [MI_Cube]
This will return:
(EP Tactic ID) (EP Projected Impressions)
1 10
2 20
3 30
4 40
5 50
Now when I try to pull in date information for each tactic from the Time dimension it just gives me a copy of the above results with each time dimension member.
Example query:
SELECT
NON EMPTY { [Measures].[EP Projected Impressions] } ON COLUMNS,
NON EMPTY { ([EP Hierarchy].[EP Tactic ID].[EP Tactic ID].ALLMEMBERS * [Time].[Fiscal Year].[Fiscal Year].ALLMEMBERS ) } ON ROWS
FROM [MI_Cube]
Results:
(EP Tactic ID) (EP Projected Impressions) (Fiscal Year)
1 10 FY2015
1 10 FY2014
1 10 FY2013
1 10 FY2012
1 10 FY2011
2 20 FY2015
2 20 FY2014
2 20 FY2013
2 20 FY2012
2 20 FY2011
etc....
Does this mean that I cannot pull the Time.FiscalYear dimension for each TacticID? Or do I need to restructure my query? EP Hierarchy has lots of dimension members I can pull successfully, but when I try to pull anything from EP Hierarchy and Time my results get multiplied instead of combined.
Thanks for any advice, trying to wrap my head around cubes and mdx queries.
It seems that you are simply missing a relation between the fact table holding the [EP Projected Impressions] member, and the dimension table holding your [Time] dimension.
By adding a relation between a foreign key on the fact table and the primary key on the dimension table, your measures should get correctly filtered by any attributes you slice on the dimension.
Thank you for the responses, it turns out the measure I was using was not connected to the time dimension. Apparently that was an expected behavior, after trying different measures I am getting the results I was expecting.
I have two dimensions DimFlag and DimPNL and a fact table FactAmount. I am looking to:
When pnl is stat(Is Stat=1) : sum (Actual x FlagId)
For pnl I multiply the amounts by field FlagId basically if it will be so 0 0 X = 0 ...
DimFlag
FlagId FlagLabel
-----------------
1 NotClosed
0 IsClosed
DimPNL
PNLId PNLName Is Stat
1 a 1
2 test 1
3 test2 0
FactAmount
id PNLId FlagId Actual
1 1 1 100
2 2 1 10
3 3 0 120
I tried the following MDX but it didn't work, any idea please ?
Scope (
[Dim PNL].[PNL].members,[Measures].members
);
this = iif([Dim PNL].[PNL].CurrentMember.Properties("Is Stat") =1
,
aggregate([Dim PNL].[PNL].currentmember,[Measures].currentmember)* iif([Dim Flag].[Flag Label].[Flag Label].currentmember = 0, 0, 1),
aggregate([Dim PNL].[PNL].currentmember,[Measures].currentmember)
);
While this type of calculation can be done in MDX, the MDX can get complex and performs bad. I would suggest to explicitly do the calculation e. g. in the DSV or a view on the fact table that you then use instead of the fact table directly in the DSV. The result of the calculation would then be another column on which you can base a standard measure.
To do it in the DSV, assuming you use a relational table as the base for the fact table, add a named calculation to it, define the column name however you like, and use the expression Actual * FlagID. For the other calculation, you may need a subselect, i. e. the expression would be Actual * case when pnlId in(1,2) then 1 else 0 end. You can use any SQL that works as a column expression in the select list as the expression in for a named calculation.
Implementing the same in a view on FactAmount, you could implement the second expression better, as then you could join table DimPNL in the view definition and thus use column IsStat in the calculation. Then you would replace table FactAmout by the view, which has the two additional measure columns.
In either case, just define two measures on the two new columns in the cube, and you are done.
As a rule, calculations that are done on record level in the fact table before any aggregation should be done at data loading time, i. e. as described above.
I have a Product dimension with hierarchies - product_id, initial_price, product_name and Measures - units_sold, cost_per_unit, revenue_per_unit. For each product_id I need to compare initial_price against revenue_per_unit and then assign it to a bucket based on the comparison.
Consider the following example:
Input:
product_id initial_price revenue_per_unit
1 10 12
2 20 18
3 30 30
Output:
product_id bucket_name
1 Profit
2 Loss
3 Same
How can I achieve this using MDX?
WITH Member [Measures].[Bucket] AS
CASE
WHEN [Measures].[initial_price] < [Measures].[revenue_per_unit] THEN
"Profit"
WHEN [Measures].[initial_price] > [Measures].[revenue_per_unit] THEN
"Loss"
ELSE
"Same"
END
SELECT {[Measures].[Bucket]}
ON COLUMNS,
[Product].[Product Name].Members
ON ROWS
FROM [yourcube]
should deliver what you want. Please note that calculated measures need not return numbers, they also can return strings in MDX (they even can return a string for some cells, and a number for others).
In case you do not have the price available as e. g. an average price on aggregated product level, and want to do the bucketing on product level, the best solution would be not do do that in MDX at all, but in the cube design: Just calculate the bucket on the relational side, and add it as an attribute to the product dimension.
You did not state anything about other dimensions, especially time. In case some other dimensions matter as well to determine the bucket, it might be necessary to add a separate dimension just for the buckets.
I need to filter the measure values as
MeasureA MeasureB
10 10
15 15
5 20
20 20
Here I need to get only the measures are not equal, I am using filter function as but not working
Select Filter({[Measures].[A],
[Measures].[B]},
([Measures].[A]-
[Measures].[B])=0)
on 0
from [Cube]
Expected result set
MeasureA MeasureB
5 20
What am I missing?
Try using a dimension instead of your measures for the first part of the filter statement. Assuming you are querying products then your query might look like:
select {[Measures].[A],[Measures].[B]} on columns,
filter ({[Products].Members},[Measures].[A] = [Measures].[B]) on rows
from [Sales Cube]
You might want to try creating a calculated field in the DSV for this Fact table...
CASE
WHEN MeasureFieldA != MeasureFieldB THEN 1
ELSE 0
END
Then you can create a "fact dimension" and have this calculated field as an attribute to be used in your queries or calculated measures.