Runtime prompts with the same dimension

Hello,
I'm setting up a business rule to contain two variables referring to members in the same dimension (for example, Account_VAR and Account_Basis_VAR both using Member of the Account dimension). I would like to have Account_VAR default as filled based on the selected member on the form (and hidden) and then have Account_Basis_VAR default to the same account as Account_VAR, but selectable based on which accounts the user has Read access to.
The calculation is working properly and the values are being distributed to the Account selected (Account_VAR) based on the current allocation to level 0 in the base account(Account_Basis_VAR), but I would like to hide Account_VAR while still prompting for Account_Basis_VAR. I've tried a few iterations of settings but both account prompts always appear in the runtime prompt window.
Is there a workaround for this?
Nik

The strange thing is that the results from the queries are correct running them in SQL Developer. This is one that works:
SELECT Project.Project saw_0, "- SalesOrderFact"."Sales Amount" saw_1, "- PurchaseOrderFact"."Purchase Amount" saw_2, REPORT_SUM(saw_1 BY ), REPORT_SUM(saw_2 BY ) FROM SalesOrder ORDER BY saw_0
SALES ORDER:
select T3032.PROJECT_DESCRIPTION as c1,
sum(T161.SALES_AMOUNT_LOCAL) as c2
from
DIM_PROJECT_V T3032,
CUBE_SALES_ORDER T161
where ( T161.DIM_PROJECT = T3032.DIMENSION_KEY )
group by T3032.PROJECT_DESCRIPTION
order by c1
PURCHASE_ORDER:
select T3032.PROJECT_DESCRIPTION as c1,
sum(T3020.TOTAL_BUY_AMOUNT) as c2
from
DIM_PROJECT_V T3032,
CUBE_PURCH_ORDER T3020
where ( T3020.DIM_PROJECT = T3032.DIMENSION_KEY )
group by T3032.PROJECT_DESCRIPTION
order by c1
And this will give the wrong result in Answers (correct in SQL..):
SELECT Project."Project Id" saw_0, "- SalesOrderFact"."Sales Amount" saw_1, "- PurchaseOrderFact"."Purchase Amount" saw_2, REPORT_SUM(saw_1 BY ), REPORT_SUM(saw_2 BY ) FROM SalesOrder ORDER BY saw_0
SALES_ORDER:
select T3032.PROJECT_KEY_NAME_ID as c1,
sum(T161.SALES_AMOUNT_LOCAL) as c2
from
DIM_PROJECT_V T3032,
CUBE_SALES_ORDER T161
where ( T161.DIM_PROJECT = T3032.DIMENSION_KEY )
group by T3032.PROJECT_KEY_NAME_ID
order by c1
PURCHASE_ORDER:
select T3032.PROJECT_KEY_NAME_ID as c1,
sum(T3020.TOTAL_BUY_AMOUNT) as c2
from
DIM_PROJECT_V T3032,
CUBE_PURCH_ORDER T3020
where ( T3020.DIM_PROJECT = T3032.DIMENSION_KEY )
group by T3032.PROJECT_KEY_NAME_ID
order by c1
As you can see the SQL look very familiar, and I cannot see anything in SQL that should be the cause of this error. I think the error must be in the BI Memory or something.
Any ideas?

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    |  13 |           BITMAP KEY ITERATION         |                             |      6 |        |            |   4330 |00:00:04.66 |    2408 |   1795 |
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    |* 15 |             TABLE ACCESS FULL          | DIM_PART                    |      1 |     10 |     3   (0)|     10 |00:00:00.01 |       6 |      0 |
    |* 16 |            BITMAP INDEX RANGE SCAN     | FACT_LI__P_PART_DIM_KEY_BIX |     60 |        |            |   4330 |00:00:02.11 |    2402 |   1795 |
    |* 17 |          BITMAP INDEX SINGLE VALUE     | FACT_LI__P_PART_MFGR_BJX    |      6 |        |            |   1747 |00:00:06.65 |     890 |    888 |
    |  18 |          BITMAP MERGE                  |                             |      6 |        |            |    169 |00:00:02.78 |   16695 |    237 |
    |  19 |           BITMAP KEY ITERATION         |                             |      6 |        |            |   5460 |00:00:01.56 |   16695 |    237 |
    |  20 |            BUFFER SORT                 |                             |      6 |        |            |   5460 |00:00:00.02 |     316 |      0 |
    |* 21 |             TABLE ACCESS FULL          | DIM_CUSTOMER                |      1 |    910 |   102   (0)|    910 |00:00:00.01 |     316 |      0 |
    |* 22 |            BITMAP INDEX RANGE SCAN     | FACT_LI__P_CUST_DIM_KEY_BIX |   5460 |        |            |   5460 |00:00:02.07 |   16379 |    237 |
    |  23 |          BITMAP MERGE                  |                             |      6 |        |            |    170 |00:00:03.65 |   26987 |    372 |
    |  24 |           BITMAP KEY ITERATION         |                             |      6 |        |            |   6672 |00:00:02.23 |   26987 |    372 |
    |  25 |            BUFFER SORT                 |                             |      6 |        |            |   6672 |00:00:00.01 |     316 |      0 |
    |* 26 |             TABLE ACCESS FULL          | DIM_SUPPLIER                |      1 |   1112 |   102   (0)|   1112 |00:00:00.01 |     316 |      0 |
    |* 27 |            BITMAP INDEX RANGE SCAN     | FACT_LI__S_SUPP_DIM_KEY_BIX |   6672 |        |            |   6672 |00:00:02.74 |   26671 |    372 |
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    |*  7 |      TABLE ACCESS FULL                 | DIM_PART                    |      1 |     10 |     3   (0)|     10 |00:00:00.01 |       6 |      0 |
    |   8 |      PARTITION RANGE ALL               |                             |      1 |  36211 |  3219   (1)|    217K|00:08:16.30 |     445K|    236K|
    |   9 |       TABLE ACCESS BY LOCAL INDEX ROWID| FACT_LINE_ITEM              |      6 |  36211 |  3219   (1)|    217K|00:08:40.89 |     445K|    236K|
    |  10 |        BITMAP CONVERSION TO ROWIDS     |                             |      6 |        |            |    217K|00:00:32.00 |   46919 |  19331 |
    |  11 |         BITMAP AND                     |                             |      6 |        |            |     69 |00:00:34.50 |   46919 |  19331 |
    |  12 |          BITMAP MERGE                  |                             |      6 |        |            |    193 |00:00:00.58 |    2353 |      1 |
    |  13 |           BITMAP KEY ITERATION         |                             |      6 |        |            |   4330 |00:00:00.10 |    2353 |      1 |
    |  14 |            BUFFER SORT                 |                             |      6 |        |            |     60 |00:00:00.01 |       6 |      0 |
    |* 15 |             TABLE ACCESS FULL          | DIM_PART                    |      1 |     10 |     3   (0)|     10 |00:00:00.01 |       6 |      0 |
    |* 16 |            BITMAP INDEX RANGE SCAN     | FACT_LI__P_PART_DIM_KEY_BIX |     60 |        |            |   4330 |00:00:00.07 |    2347 |      1 |
    |* 17 |          BITMAP INDEX SINGLE VALUE     | FACT_LI__P_PART_MFGR_BJX    |      6 |        |            |   1747 |00:01:23.64 |     882 |    565 |
    |  18 |          BITMAP MERGE                  |                             |      6 |        |            |    169 |00:00:09.14 |   16697 |   7628 |
    |  19 |           BITMAP KEY ITERATION         |                             |      6 |        |            |   5460 |00:00:02.19 |   16697 |   7628 |
    |  20 |            BUFFER SORT                 |                             |      6 |        |            |   5460 |00:00:00.01 |     316 |      0 |
    |* 21 |             TABLE ACCESS FULL          | DIM_CUSTOMER                |      1 |    910 |   102   (0)|    910 |00:00:00.01 |     316 |      0 |
    |* 22 |            BITMAP INDEX RANGE SCAN     | FACT_LI__P_CUST_DIM_KEY_BIX |   5460 |        |            |   5460 |00:00:08.78 |   16381 |   7628 |
    |  23 |          BITMAP MERGE                  |                             |      6 |        |            |    170 |00:00:21.46 |   26987 |  11137 |
    |  24 |           BITMAP KEY ITERATION         |                             |      6 |        |            |   6672 |00:00:10.29 |   26987 |  11137 |
    |  25 |            BUFFER SORT                 |                             |      6 |        |            |   6672 |00:00:00.01 |     316 |      0 |
    |* 26 |             TABLE ACCESS FULL          | DIM_SUPPLIER                |      1 |   1112 |   102   (0)|   1112 |00:00:00.01 |     316 |      0 |
    |* 27 |            BITMAP INDEX RANGE SCAN     | FACT_LI__S_SUPP_DIM_KEY_BIX |   6672 |        |            |   6672 |00:00:20.94 |   26671 |  11137 |
    Predicate Information (identified by operation id):                                                                                                  
       2 - access("F"."SUPPLIER_DK"="DS"."DK")                                                                                                           
       3 - filter("DS"."REGION_NAME"='REGION #1')                                                                                                        
       4 - access("F"."CUSTOMER_DK"="DC"."DK")                                                                                                           
       5 - filter("DC"."REGION_NAME"='REGION #1')                                                                                                        
       6 - access("F"."PART_DK"="DP"."DK")                                                                                                               
       7 - filter("DP"."MFGR"=10)                                                                                                                        
      15 - filter("DP"."MFGR"=10)                                                                                                                        
      16 - access("F"."PART_DK"="DP"."DK")                                                                                                               
      17 - access("F"."SYS_NC00017$"=10)                                                                                                                 
      21 - filter("DC"."REGION_NAME"='REGION #1')                                                                                                        
      22 - access("F"."CUSTOMER_DK"="DC"."DK")                                                                                                           
      26 - filter("DS"."REGION_NAME"='REGION #1')                                                                                                        
      27 - access("F"."SUPPLIER_DK"="DS"."DK")                                                                                                           
    Note                                                                                                                                                 
       - star transformation used for this statement                                                                                                     

  • MDX : How to use filter on a dimension without showing it OR merge 2 attributes of the same dimension?

    Hello everyone,
    I'm kind of newbie with MDX language, I'm trying to get filtered measures from a cube with a specific layout.
    Here is my exemple :
    I want to get all the "order numbers" where the "invoice" cost is more than 300.  Each invoice is linked with an ID, one order number can have several invoices.
    So what I do is a select request with 2 dimensions : "order num" and "id_invoice"
    Here is the result : I get all the cost sorted by "order num" and I can easealy identify those who are above 300
    order num
    Id_invoice
    cost
    Total
    Total2
    15450307
    10032013094498
    1671
    1737
    ok
    15450307
    10032013099835
    66
    1737
    KO
    15450596
    10032013094078
    8524
    8524
    ok
    15451214
    10032013094119
    228
    4348
    KO
    15451214
    10032013097069
    978
    4348
    ok
    15451214
    10032013097071
    3142
    4348
    ok
    15542434
    10032013101736
    142
    142
    KO
    15550064
    10032013097016
    1261
    1261
    ok
    15550346
    10032013097586
    2252
    2252
    ok
    15550353
    10032013098446
    2617
    2617
    ok
    What i need : In "cost", I need to have the sum of each cost which are above 300 in one line (without showing the invoice id)
    order num
    cost
    Total
    Total2
    15450307
    1671
    1737
    ok
    15450596
    8524
    8524
    ok
    15451214
    4120
    4348
    ok
    15550064
    1261
    1261
    ok
    15550346
    2252
    2252
    ok
    15550353
    2617
    2617
    ok
    How is it possible to use a filter on a dimension without showing it or merge 2 attributes of the same dimension ?
    The problem is that if I show "id" column, the filter doesn't work properly : it compares 300 with the total cost of the whole order and does not compare with each invoice (which could be under 300 ! - see "KO" in Total2 column)
    Here is the request I use to generate this result :
    with
    member [Measures].[Total]
    as (
    [TP].[ID INVOICE].[All],
    [TP].[ORDER NUM].currentmember,
    [Measures].[COST]
    member [Measures].[Total2]
    as (
    IIF([Measures].[COST] >
    300, "ok",
    "KO")
    select
    {[Measures].[COST],[Measures].[Total],[Measures].[Total2]}
    on
    columns,           
    Filter
                 [TP].[ORDER NUM].[ORDER
    NUM].members *
                 [TP].[ID INVOICE].[ID
    INVOICE].members
                 ,[Measures].[COST]
    > 0
    on
    rows
    FROM [MYCUBE]
    Thank you  for your help !
    Kind regards,
    Olivier.

    Hi Olivier,
    hereunder a similar query against the AW. For all order numbers, we sum all lines above 30 without diplaying the line numbers:
    WITH
    MEMBER [Measures].[lines above 30] AS
    IIF(
    [Measures].[Internet Sales Amount] > 30,
    [Measures].[Internet Sales Amount],
    null
    MEMBER [Measures].[aggr lines above 30] AS
    SUM(
    exists(
    [Internet Sales Order Details].[Sales Order Line].[Sales Order Line],
    [Internet Sales Order Details].[Sales Order Number].currentmember
    [Measures].[lines above 30]
    SELECT
    [Measures].[Internet Sales Amount],
    [Measures].[aggr lines above 30]
    } ON 0,
    [Internet Sales Order Details].[Sales Order Number].[Sales Order Number] ON 1
    FROM ( SELECT
    [Product].[Category].[All Products] ON 0,
    [Internet Sales Order Details].[Sales Order Number].&[SO51177]:
    [Internet Sales Order Details].[Sales Order Number].&[SO51178]
    } ON 1
    FROM [Adventure Works] )
    I reduced the cube with a subselect.
    Philip,

  • Execution of a planning function with the used dimension values in a crosstab

    Hello,
    would like to execute planning functions within Design Studio but I don't really know how I combine this execution with the used dimension values in a crosstab for the .
    Here the requirement:
    3 Planning functions which should use the same filter (all values of all dimensions in the crosstab) and which should run one after another:
    // open data slice
    PF_1.execute();
    // generate combinitions
    PF_2.execute();
    // close data slice
    PF_3.execute();
    Many thanks in advance.
    Kind regards,
    Tobias

    Hi Arun,
    in general it is not possible to nest planning functions. The inner function would update the data in the plan buffer without the outer function knowing about it. Also the inner function might be on a different aggregation level which would make things very tricky.
    Alternatively you can include ABAP logic into a FOX formula:
    http://help.sap.com/saphelp_nw70/helpdata/en/47/94eb78b6394befe10000000a42189d/frameset.htm
    Or just create the complete logic in one ABAP planning function type.
    Regards,
    Marc
    SAP NetWeaver RIG

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