Problem with Non Cumilative key figs at report level.

Hi Gurus,
I got an issue with the below keyfigures when I tried to display them in the report Stock Overview.
0TOTALSTCK
0VALSTCKVAL
0QMSTOCK
0TRANSSTOCK
0BLOCKEDSTK
0CNSSTCKQTY
These keyfigs are non-cumulative keyfigures. I wonder why these keyfigures show nothing at report level. The cube is IC_C03 which has the datasources 2lis_03_BX, 2LIS_03_BF and 2LIS_03_UM.
Please help.
Regards,
Sasi

Did you initialize the inventory properly?
Check if inflow and outflow exists in cube for the values you are trying to execute the report

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    ekopur wrote:
    i compare query select with non-partition key condition in table partition with 3, 4 and 6 partition.
    time execution for 3 partition faster then 4 partition, time execution for 4 partition faster than 6 partition.
    i know processing query select is selection all partition, but i don't know what make time execution different between 3, 4 and 6 partition??
    whether the transfer from one partition to another partition takes time?
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    3 partition
    SELECT *
    FROM
    EQU_PARAM_MONITORINGHASH WHERE TO_CHAR(time_stamp,'mm/yy')=('02/09')
    call          cpu    elapsed       disk        rows
    Parse        0.00       0.00          0           0
    Execute      0.00       0.00          0           0
    Fetch        5.70       7.57      25291     1157583
    total        5.70       7.57      25291     1157583
    Parsing user id: 61  (SKENARIO1)
    Rows     Execution Plan
    0  SELECT STATEMENT   MODE: ALL_ROWS
    0   PARTITION HASH (ALL) PARTITION: START=1 STOP=3
    0    TABLE ACCESS   MODE: ANALYZED (FULL) OF
    'EQU_PARAM_MONITORINGHASH' (TABLE) PARTITION: START=1 STOP=34 partition
    SELECT *
    FROM
    EQU_PARAM_MONITORINGHASH WHERE TO_CHAR(time_stamp,'mm/yy')=('02/09')
    call          cpu    elapsed       disk        rows
    Parse        0.00       0.00          0           0
    Execute      0.00       0.00          0           0
    Fetch        5.46       8.03      25126     1157583
    total        5.46       8.03      25126     1157583
    Parsing user id: 62  (SKENARIO2)
    Rows     Execution Plan
    0  SELECT STATEMENT   MODE: ALL_ROWS
    0   PARTITION HASH (ALL) PARTITION: START=1 STOP=4
    0    TABLE ACCESS   MODE: ANALYZED (FULL) OF
    'EQU_PARAM_MONITORINGHASH' (TABLE) PARTITION: START=1 STOP=46 partition
    SELECT *
    FROM
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    call          cpu    elapsed       disk        rows
    Parse        0.00       0.00          0           0
    Execute      0.00       0.00          0           0
    Fetch        5.73       9.13      25190     1157583
    total        5.73       9.13      25190     1157583
    Parsing user id: 63  (SKENARIO3)
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    0  SELECT STATEMENT   MODE: ALL_ROWS
    0   PARTITION HASH (ALL) PARTITION: START=1 STOP=6
    0    TABLE ACCESS   MODE: ANALYZED (FULL) OF
    'EQU_PARAM_MONITORINGHASH' (TABLE) PARTITION: START=1 STOP=6
    I'm assuming you recreated the table a couple of times with different numbers of hash partitions. (Tip: always use a power of two for the number of hash partitions - it keeps them all around the same size if you are using the feature on an appropriate data set.)
    There isn't really enough difference in time within the database to make any sensible comment about the difference in times. I note that you have also edited out the fetch count for the 1.1 million rows fetched, and have not captured (or perhaps just not printed) the wait times, so we don't know where you spent the time inside and outside the database.
    For all we can tell, the difference you are worried about might simply be network time on the fetch calls, and have nothing to do with the extract you've published.
    Regards
    Jonathan Lewis

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