Suggestions needed on retracting bw data using Infospokes

Dear all,
Unable to dump the BW 3.5 Info cube data using info spokes.
Info cube contains huge historical data (5 Crores),
we are using maximum selection conditions on available time characteristics in info cube.
Regards,
Sreehari.

Hi Sreehari,
It will always fail for such a huge dataset. You can reduce dataset by applying filter in selection tab of infospoke.You can divide data of the cube may be on 0FISCYEAR or some other field and then dump based on that field. That will run better.
Thanks,

Similar Messages

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    any idea or step by step procedure will be highly appreciated.
    Points will be assign to helpful answer(s).
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    check this link
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    DATA DECLERATION
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    *Data: l_s_data_in type  /bic/ABC   "Source Structure
            l_s_data_out type  /bic/XYZ "Target Structure
    Clear data Output
      clear e_t_data_out.                    "Data Output
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      loop at i_t_data_in into l_s_data_in where i_t_data_in- empno is not initial.
          move-corresponding l_s_data_in to l_s_data_out.
          insert l_s_data_out into table e_t_data_out.
      endloop.
    reward if helps

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    service.sap.com can help you getting the details of your mesg.
    I found one OSS note suitable to your mesg. So just check out OSS note # 671097. I hope this note will be some help to you. If not go and chk in the OSS you can find some more.
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    ohhh... lets start our lesson children:
    here is code to consider:
    Connected to Oracle Database 10g Enterprise Edition Release 10.2.0.2.0
    SQL>
    SQL> --Q1
    SQL> with tbl as
      2  (select 1 fld1, 1 fld2, 1 fld3 from dual
      3  union all
      4  select 1 fld1, 1 fld2, 2 fld3 from dual
      5  union all
      6  select 1 fld1, 1 fld2, 3 fld3 from dual
      7  union all
      8  select 1 fld1, 2 fld2, 3 fld3 from dual
      9  union all
    10  select 1 fld1, 3 fld2, 3 fld3 from dual)
    11  select  fld1, fld2, fld3 from tbl
    12  order by fld1, fld2, fld3
    13  /
          FLD1       FLD2       FLD3
             1          1          1
             1          1          2
             1          1          3
             1          2          3
             1          3          3
    SQL> --Q2
    SQL> with tbl as
      2  (select 1 fld1, 1 fld2, 1 fld3 from dual
      3  union all
      4  select 1 fld1, 1 fld2, 2 fld3 from dual
      5  union all
      6  select 1 fld1, 1 fld2, 3 fld3 from dual
      7  union all
      8  select 1 fld1, 2 fld2, 3 fld3 from dual
      9  union all
    10  select 1 fld1, 3 fld2, 3 fld3 from dual)
    11  select  fld1, fld2, fld3, count(1) from tbl
    12  group by fld1,fld2,fld3
    13  order by fld1, fld2, fld3
    14  /
          FLD1       FLD2       FLD3   COUNT(1)
             1          1          1          1
             1          1          2          1
             1          1          3          1
             1          2          3          1
             1          3          3          1
    SQL> --Q3
    SQL> with tbl as
      2  (select 1 fld1, 1 fld2, 1 fld3 from dual
      3  union all
      4  select 1 fld1, 1 fld2, 2 fld3 from dual
      5  union all
      6  select 1 fld1, 1 fld2, 3 fld3 from dual
      7  union all
      8  select 1 fld1, 2 fld2, 3 fld3 from dual
      9  union all
    10  select 1 fld1, 3 fld2, 3 fld3 from dual)
    11  select  fld1, fld2, fld3 from tbl
    12  group by fld1,fld2,fld3
    13  having count(1) > 1
    14  order by fld1, fld2, fld3
    15  /
          FLD1       FLD2       FLD3
    SQL> --Q4
    SQL> with tbl as
      2  (select 1 fld1, 1 fld2, 1 fld3 from dual
      3  union all
      4  select 1 fld1, 1 fld2, 2 fld3 from dual
      5  union all
      6  select 1 fld1, 1 fld2, 2 fld3 from dual
      7  union all
      8  select 1 fld1, 1 fld2, 3 fld3 from dual
      9  union all
    10  select 1 fld1, 2 fld2, 3 fld3 from dual
    11  union all
    12  select 1 fld1, 3 fld2, 3 fld3 from dual)
    13  select  fld1, fld2, fld3 from tbl
    14  order by fld1, fld2, fld3
    15  /
          FLD1       FLD2       FLD3
             1          1          1
             1          1          2
             1          1          2
             1          1          3
             1          2          3
             1          3          3
    6 rows selected
    SQL> --Q5
    SQL> with tbl as
      2  (select 1 fld1, 1 fld2, 1 fld3 from dual
      3  union all
      4  select 1 fld1, 1 fld2, 2 fld3 from dual
      5  union all
      6  select 1 fld1, 1 fld2, 2 fld3 from dual -- inserted duplicate row
      7  union all
      8  select 1 fld1, 1 fld2, 3 fld3 from dual
      9  union all
    10  select 1 fld1, 2 fld2, 3 fld3 from dual
    11  union all
    12  select 1 fld1, 3 fld2, 3 fld3 from dual)
    13  select  fld1, fld2, fld3, count(1)   from tbl
    14  group by fld1,fld2,fld3
    15  order by fld1, fld2, fld3
    16  /
          FLD1       FLD2       FLD3   COUNT(1)
             1          1          1          1
             1          1          2          2
             1          1          3          1
             1          2          3          1
             1          3          3          1
    SQL> --Q6
    SQL> with tbl as
      2  (select 1 fld1, 1 fld2, 1 fld3 from dual
      3  union all
      4  select 1 fld1, 1 fld2, 2 fld3 from dual
      5  union all
      6  select 1 fld1, 1 fld2, 2 fld3 from dual -- inserted duplicate row
      7  union all
      8  select 1 fld1, 1 fld2, 3 fld3 from dual
      9  union all
    10  select 1 fld1, 2 fld2, 3 fld3 from dual
    11  union all
    12  select 1 fld1, 3 fld2, 3 fld3 from dual)
    13  select  fld1, fld2, fld3 from tbl
    14  group by fld1,fld2,fld3
    15  having count(1) > 1
    16  order by fld1, fld2, fld3
    17  /
          FLD1       FLD2       FLD3
             1          1          2
    SQL> Q1. As you may see we have an bunch of data where each row is unique combination of the columns value.
    Q2. lets try to group it by fld1 and fld2 and fld3 columns. We don't expect any miracle and got the same data as Q1. Why? Because each row is unique combination(group) in scope of fld1, fld2, fld3 - count(1) exactly shows us that.
    Q3. Q2 is explanation why we got no rows filter (having count(1) > 1)because the result of the clause is always false.
    Q4. Lets put some duplication.
    Q5. Now we got some new result. Count shows us group with more then one rows.
    Q6. Shows us exact group which we've found in Q5.

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