Pass parameter values between BEX and exctractor

Hi All,
I create virtual cube which report from ECC
I create Extractor Transformation and DTP which load the data from ECC
In the BEX I create parameter (Week day) which can get few values (E.g. 1,3,5)
In the extractor I define field for week day and need to consider the week days parameter
My question is how I pass the value between the BEX and extractor?
Thanks in advance
Itzik

Hi Itzik,
One simple solution,
Create a new IOB with Texts. In the Variable exit, write the variable values to this text IOB using FM RSNDI_MD_TEXTS_UPDATE.
Read the values from the IOB text using routine while selection.
Sankar Kumar

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    select to_date('09.09.2012 02:54:11', 'dd.mm.yyyy hh24:mi:ss') ts, 120 val from dual union all
    select to_date('09.09.2012 03:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 120 val from dual union all
    select to_date('09.09.2012 04:04:19', 'dd.mm.yyyy hh24:mi:ss') ts, 120 val from dual union all
    select to_date('09.09.2012 05:04:20', 'dd.mm.yyyy hh24:mi:ss') ts, 120 val from dual union all
    select to_date('09.09.2012 06:12:02', 'dd.mm.yyyy hh24:mi:ss') ts, 23 val from dual union all
    select to_date('09.09.2012 07:12:03', 'dd.mm.yyyy hh24:mi:ss') ts, 29 val from dual union all
    select to_date('09.09.2012 08:12:04', 'dd.mm.yyyy hh24:mi:ss') ts, 30 val from dual union all
    select to_date('09.09.2012 09:12:11', 'dd.mm.yyyy hh24:mi:ss') ts, 45 val from dual union all
    select to_date('09.09.2012 10:12:12', 'dd.mm.yyyy hh24:mi:ss') ts, 60 val from dual union all
    select to_date('09.09.2012 11:12:13', 'dd.mm.yyyy hh24:mi:ss') ts, 75 val from dual union all
    select to_date('09.09.2012 12:21:24', 'dd.mm.yyyy hh24:mi:ss') ts, 95 val from dual union all
    select to_date('09.09.2012 13:21:26', 'dd.mm.yyyy hh24:mi:ss') ts, 120 val from dual union all
    select to_date('09.09.2012 14:21:27', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
    select to_date('09.09.2012 15:21:30', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
    select to_date('09.09.2012 16:21:32', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
    select to_date('09.09.2012 17:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
    select to_date('09.09.2012 21:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
    select to_date('09.09.2012 23:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
    select to_date('10.09.2012 00:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
    select to_date('10.09.2012 01:03:08', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
    select to_date('10.09.2012 02:54:11', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
    select to_date('10.09.2012 03:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
    select to_date('10.09.2012 04:04:19', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
    select to_date('10.09.2012 05:04:20', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
    select to_date('10.09.2012 06:12:02', 'dd.mm.yyyy hh24:mi:ss') ts, 143 val from dual union all
    select to_date('10.09.2012 07:12:03', 'dd.mm.yyyy hh24:mi:ss') ts, 144 val from dual union all
    select to_date('10.09.2012 08:12:04', 'dd.mm.yyyy hh24:mi:ss') ts, 145 val from dual union all
    select to_date('10.09.2012 09:12:11', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
    select to_date('10.09.2012 10:12:12', 'dd.mm.yyyy hh24:mi:ss') ts, 147 val from dual union all
    select to_date('10.09.2012 11:12:13', 'dd.mm.yyyy hh24:mi:ss') ts, 148 val from dual union all
    select to_date('10.09.2012 12:21:24', 'dd.mm.yyyy hh24:mi:ss') ts, 153 val from dual union all
    select to_date('10.09.2012 13:21:26', 'dd.mm.yyyy hh24:mi:ss') ts, 153 val from dual union all
    select to_date('10.09.2012 14:21:27', 'dd.mm.yyyy hh24:mi:ss') ts, 153 val from dual union all
    select to_date('10.09.2012 15:21:30', 'dd.mm.yyyy hh24:mi:ss') ts, 153 val from dual union all
    select to_date('10.09.2012 16:21:32', 'dd.mm.yyyy hh24:mi:ss') ts, 153 val from dual union all
    select to_date('10.09.2012 21:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 153 val from dual)
    , got_analytics     AS
         SELECT ts, val
         ,     MIN (val) OVER ( PARTITION BY TRUNC (ts)
                        ORDER BY      ts DESC
                        )      AS min_val_after
         ,     CASE
              WHEN ROW_NUMBER () OVER ( PARTITION BY TRUNC (ts)
                             ORDER BY     val
                             ,      ts     
                             ) = 1          
              THEN -1 -- Impossibly low val
              ELSE LAG (val) OVER ( PARTITION BY TRUNC (ts)
                             ORDER BY      ts
              END           AS prev_val
         ,     MIN (val) OVER (PARTITION BY     TRUNC (ts))
                        AS low_val_today
         ,     NVL ( LAST_VALUE (val) OVER ( ORDER BY ts
                             RANGE BETWEEN UNBOUNDED PRECEDING
                                  AND     ts - TRUNC (ts) PRECEDING
              , -1
              )          AS last_val_yesterday
         FROM sampledata
    SELECT     ts
    ,     val
    FROM     got_analytics
    WHERE     val          <= min_val_after
    AND     val          > prev_val
    AND     (      val     > low_val_today
         OR     val     != last_val_yesterday
    ORDER BY ts
    {code}
    with the expected results:
    {code}
    1     09.09.2012 06:12:02     23
    2     09.09.2012 07:12:03     29
    3     09.09.2012 08:12:04     30
    4     09.09.2012 09:12:11     45
    5     09.09.2012 10:12:12     60
    6     09.09.2012 11:12:13     75
    7     09.09.2012 12:21:24     95
    8     09.09.2012 13:21:26     120
    9     09.09.2012 14:21:27     142
    10     10.09.2012 06:12:02     143
    11     10.09.2012 07:12:03     144
    12     10.09.2012 08:12:04     145
    13     10.09.2012 09:12:11     146
    14     10.09.2012 10:12:12     147
    15     10.09.2012 11:12:13     148
    16     10.09.2012 12:21:24     153
    {code}
    And the sampledata for shift 3 is:
    {code}
    with sampledata as (select to_date('08.09.2012 00:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 23 val from dual union ALL
    select to_date('08.09.2012 02:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 45 val from dual union all
    select to_date('08.09.2012 05:03:08', 'dd.mm.yyyy hh24:mi:ss') ts, 78 val from dual union all
    select to_date('08.09.2012 06:54:11', 'dd.mm.yyyy hh24:mi:ss') ts, 90 val from dual union all
    select to_date('08.09.2012 08:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 90 val from dual union all
    select to_date('08.09.2012 10:04:19', 'dd.mm.yyyy hh24:mi:ss') ts, 90 val from dual union all
    select to_date('08.09.2012 12:04:20', 'dd.mm.yyyy hh24:mi:ss') ts, 90 val from dual union all
    select to_date('08.09.2012 16:12:02', 'dd.mm.yyyy hh24:mi:ss') ts, 90 val from dual union all
    select to_date('08.09.2012 17:12:03', 'dd.mm.yyyy hh24:mi:ss') ts, 90 val from dual union all
    select to_date('08.09.2012 19:12:04', 'dd.mm.yyyy hh24:mi:ss') ts, 90 val from dual union all
    select to_date('08.09.2012 21:12:11', 'dd.mm.yyyy hh24:mi:ss') ts, 90 val from dual union all
    select to_date('08.09.2012 22:00:12', 'dd.mm.yyyy hh24:mi:ss') ts, 24 val from dual union all
    select to_date('08.09.2012 22:12:13', 'dd.mm.yyyy hh24:mi:ss') ts, 40 val from dual union all
    select to_date('08.09.2012 23:21:24', 'dd.mm.yyyy hh24:mi:ss') ts, 68 val from dual union all
    select to_date('09.09.2012 01:03:08', 'dd.mm.yyyy hh24:mi:ss') ts, 79 val from dual union all
    select to_date('09.09.2012 02:54:11', 'dd.mm.yyyy hh24:mi:ss') ts, 124 val from dual union all
    select to_date('09.09.2012 03:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 125 val from dual union all
    select to_date('09.09.2012 04:04:19', 'dd.mm.yyyy hh24:mi:ss') ts, 126 val from dual union all
    select to_date('09.09.2012 05:04:20', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
    select to_date('09.09.2012 06:12:02', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
    select to_date('09.09.2012 07:12:03', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
    select to_date('09.09.2012 08:12:04', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
    select to_date('09.09.2012 09:12:11', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
    select to_date('09.09.2012 10:12:12', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
    select to_date('09.09.2012 11:12:13', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
    select to_date('09.09.2012 12:21:24', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
    select to_date('09.09.2012 13:21:26', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
    select to_date('09.09.2012 14:21:27', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
    select to_date('09.09.2012 15:21:30', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
    select to_date('09.09.2012 16:21:32', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
    select to_date('09.09.2012 17:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
    select to_date('09.09.2012 21:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union ALL
    select to_date('09.09.2012 22:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 5 val from dual union ALL
    select to_date('09.09.2012 22:51:33', 'dd.mm.yyyy hh24:mi:ss') ts, 23 val from dual union all
    select to_date('09.09.2012 23:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 40 val from dual union all
    select to_date('10.09.2012 00:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 50 val from dual union all
    select to_date('10.09.2012 01:03:08', 'dd.mm.yyyy hh24:mi:ss') ts, 60 val from dual union all
    select to_date('10.09.2012 02:54:11', 'dd.mm.yyyy hh24:mi:ss') ts, 78 val from dual union all
    select to_date('10.09.2012 03:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
    select to_date('10.09.2012 04:04:19', 'dd.mm.yyyy hh24:mi:ss') ts, 145 val from dual union all
    select to_date('10.09.2012 05:04:20', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
    select to_date('10.09.2012 06:12:02', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
    select to_date('10.09.2012 07:12:03', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
    select to_date('10.09.2012 08:12:04', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
    select to_date('10.09.2012 09:12:11', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
    select to_date('10.09.2012 10:12:12', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
    select to_date('10.09.2012 11:12:13', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
    select to_date('10.09.2012 12:21:24', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
    select to_date('10.09.2012 13:21:26', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
    select to_date('10.09.2012 14:21:27', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
    select to_date('10.09.2012 15:21:30', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
    select to_date('10.09.2012 16:21:32', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
    select to_date('10.09.2012 21:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual)
    , got_analytics AS
    SELECT ts, val
    , MIN (val) OVER ( PARTITION BY TRUNC (ts)
    ORDER BY ts DESC
    ) AS min_val_after
    , CASE
    WHEN ROW_NUMBER () OVER ( PARTITION BY TRUNC (ts)
    ORDER BY val
    , ts
    ) = 1
    THEN -1 -- Impossibly low val
    ELSE LAG (val) OVER ( PARTITION BY TRUNC (ts)
    ORDER BY ts
    END AS prev_val
    , MIN (val) OVER (PARTITION BY TRUNC (ts))
    AS low_val_today
    , NVL ( LAST_VALUE (val) OVER ( ORDER BY ts
    RANGE BETWEEN UNBOUNDED PRECEDING
    AND ts - TRUNC (ts) PRECEDING
    , -1
    ) AS last_val_yesterday
    FROM sampledata
    SELECT ts
    , val
    FROM got_analytics
    WHERE val <= min_val_after
    AND val > prev_val
    AND ( val > low_val_today
    OR val != last_val_yesterday
    ORDER BY ts
    {code}
    with the unexpected results:
    {code}
    - ts val
    1     08.09.2012 00:04:08     23
    2     08.09.2012 22:12:13     40
    3     08.09.2012 23:21:24     68
    4     09.09.2012 22:21:33     5
    5     09.09.2012 22:51:33     23
    6     09.09.2012 23:21:33     40
    7     10.09.2012 00:04:08     50
    8     10.09.2012 01:03:08     60
    9     10.09.2012 02:54:11     78
    10     10.09.2012 03:04:08     142
    11     10.09.2012 04:04:19     145
    12     10.09.2012 05:04:20     146
    {code}
    The result should be:
    {code}
    - ts val
    1     08.09.2012 00:04:08     23
    2     08.09.2012 02:04:08     45
    3     08.09.2012 05:03:08     78
    4     08.09.2012 06:54:11     90
    5     08.09.2012 22:00:12     24
    6     08.09.2012 22:12:13     40
    7     08.09.2012 23:21:24     68
    8     09.09.2012 01:03:08     79
    9     09.09.2012 02:54:11     124
    10     09.09.2012 03:04:08     125
    11     09.09.2012 04:04:19     126
    12     09.09.2012 05:04:20     127
    13     09.09.2012 22:21:33     5
    14     09.09.2012 22:51:33     23
    15     09.09.2012 23:21:33     40
    16     10.09.2012 00:04:08     50
    17     10.09.2012 01:03:08     60
    18     10.09.2012 02:54:11     78
    19     10.09.2012 03:04:08     142
    20     10.09.2012 04:04:19     145
    21     10.09.2012 05:04:20     146
    {code}
    Thank you for your help!

  • GET function fails to get values between 1 and 0

    Hi i have the folowing code
    GET(CONTAVENDAS="PERCVOLUMECORP",FONTEDADO="INPUT",TEMPO="2011.INP",PRODUTO="%SPECIE%_IN",CANAL="NACANAL",ORGCOMERCIAL="NAORGCOM")
    When the value in the PERCVOLUMECORP account, is greater or equal to 1 let's say 80, the get function returns me the correct value, but when i have a value between 0 and one, for instance 0,25, the get function returns 0 (zero)
    Any ideas?
    Thanks in advance.
    Leandro
    Brasil

    Here is the entire script
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    **SELECT(%ANO_BD_TRAB2%,[YEAR]+2,CATEGORIA,"ID='BDTRABALHO'")
    **SELECT(%MES_INCIO%, STARTMTH, CATEGORIA, "ID='BDTRABALHO'")
    **SELECT(%MESES%,[ID],TEMPO,"MONTHNUM>=%MES_INCIO% AND YEAR=%ANO_BD_TRAB% AND LEVEL='MONTH'")
    **SELECT(%MESES1%,[ID],TEMPO,"MONTHNUM>=%MES_INCIO% AND YEAR=%ANO_BD_TRAB1% AND LEVEL='MONTH'")
    **SELECT(%MESES2%,[ID],TEMPO,"MONTHNUM>=%MES_INCIO% AND YEAR=%ANO_BD_TRAB2% AND LEVEL='MONTH'")
    **SELECT(%CONTAS%, [ID], CONTAVENDAS, "TOPDOWNALLOC='Y'")
    *SELECT(%TODOSPROD%, [ID],PRODUTO,"GRUPO='PRODUTO'")
    **SELECT(%SPECIES%, [ID],PRODUTO,"GRUPO='TIPOESPECIE' AND FLAG_TOPDA='N'")
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    *XDIM_MEMBERSET PRODUTO = %SPECIES%,%SPECIES_IN%,%TODOSPROD%
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      *DIM FONTEDADO="INPUT"
      *DIM TEMPO="2011.INP"
      *DIM PRODUTO="C_IN"
      *DIM CANAL="NACANAL"
      *DIM ORGCOMERCIAL="NAORGCOM"
      *DIM PERCVOL:CONTAVENDAS="PERCVOLUMECORP"
    *ENDLOOKUP
    *FOR %CONTA% = VOLUME
      *FOR %MES% = 2011.JAN
        *FOR %SPECIE% = C AND %SPECIENAME% = CERVEJAS
         *WHEN PRODUTO.SPECIETYPE
         *IS "%SPECIENAME%"
           *WHEN CONTAVENDAS
           *IS "%CONTA%"
             *WHEN TEMPO
             *IS "%MES%"
                    *REC(CONTAVENDAS="%CONTA%",EXPRESSION=LOOKUP(PERCVOL))
             *ENDWHEN
           *ENDWHEN
         *ENDWHEN
        *NEXT
      *NEXT
    *NEXT
    *COMMIT
    Thanks is advance.

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