grouping data with a dynamic number of levels

Is it possible to do something like:

< cfloop... >
< cfoutput group =... >
...
< / cfloop >

< cfoutput >
...
< / cfoutput >

< cfloop... >
< / cfoutput >
< / cfloop >

I tried but it doesn't seem to work. I would like to consolidate data from several levels deep, with a dynamic number of levels. I don't know it in advance. Is it possible to do?

Thank you

Roman

Hello

You cannot place the tag inside a it will throw an error...

Why don't you do the grouping at the query level?...

Tags: ColdFusion

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    --------     ---------     ----------     -------------     ---------------------------------------------     ---------------------------------------------          ----------     -------
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    Site_1 user_1 RPT104 Activity_3 * 14.06.41.341612000 * 16 May 11 (May 16, 11 14.06.49.530405000 + 4secs ref_1 1125)
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    Published by: MickyMick on June 7, 2011 03:21

    BobLilly wrote:
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    Site_1 user_1 RPT104 Activity_2 2011-05-16 14.05.23.572211000 2011-05-16 14.06.01.058978000 ref_2 1125
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    Site_1 RPT104 Activity_3 2011-05-16 14.06.41.341612000 user_1 ref_1 14.06.45.341612000 2011-05-16 1125

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Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_1' as Code
, to_timestamp('16-MAY-11 13.43.06.566193000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all
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, to_timestamp('16-MAY-11 13.49.31.364224000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all
Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_1' as Code
, to_timestamp('16-MAY-11 13.49.47.413252000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all
Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_1' as Code
, to_timestamp('16-MAY-11 13.51.48.906793000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all
Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_1' as Code
, to_timestamp('16-MAY-11 13.51.56.947312000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all
Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_1' as Code
, to_timestamp('16-MAY-11 13.54.29.396052000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all
Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_1' as Code
, to_timestamp('16-MAY-11 13.54.37.444307000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all
Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_1' as Code
, to_timestamp('16-MAY-11 13.57.00.237546000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all
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, to_timestamp('16-MAY-11 13.57.04.285148000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all
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, to_timestamp('16-MAY-11 13.59.24.745162000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all
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, to_timestamp('16-MAY-11 13.59.44.774318000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all
Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_1' as Code
, to_timestamp('16-MAY-11 14.01.22.434940000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all
Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_1' as Code
, to_timestamp('16-MAY-11 14.01.51.291059000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all
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, to_timestamp('16-MAY-11 14.05.23.572211000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_2' as Ref, 1125 as Qty from dual union all
Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_1' as Code
, to_timestamp('16-MAY-11 14.06.01.058978000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all
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, to_timestamp('16-MAY-11 14.06.41.341612000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all
Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_3' as Code
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Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_3' as Code
, to_timestamp('16-MAY-11 14.06.49.388699000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all
Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_3' as Code
, to_timestamp('16-MAY-11 14.06.49.401287000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all
Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_3' as Code
, to_timestamp('16-MAY-11 14.06.49.413361000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all
Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_3' as Code
, to_timestamp('16-MAY-11 14.06.49.425675000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all
Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_3' as Code
, to_timestamp('16-MAY-11 14.06.49.437360000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all
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, to_timestamp('16-MAY-11 14.06.49.449079000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all
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, to_timestamp('16-MAY-11 14.06.49.460697000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all
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, to_timestamp('16-MAY-11 14.06.49.472606000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all
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, to_timestamp('16-MAY-11 14.06.49.484031000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all
Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_3' as Code
, to_timestamp('16-MAY-11 14.06.49.495551000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all
Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_3' as Code
, to_timestamp('16-MAY-11 14.06.49.513645000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual union all
Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_3' as Code
, to_timestamp('16-MAY-11 14.06.49.530405000', 'DD-MON-RR HH24:MI:SS.FF') as DTStamp, 'ref_1' as Ref, 1125 as Qty from dual
),
t1 as (
       select  t.*,
               lead(DTStamp,1,DTStamp + interval '4' second) over(order by DTStamp) ENDTS,
               case
                 when     lag(Site) over(order by DTStamp)  = Site
                      and
                          lag(Usr) over(order by DTStamp)  = Usr
                      and
                          lag(Station) over(order by DTStamp)  = Station
                      and
                          lag(Code) over(order by DTStamp)  = Code
                      and
                          lag(Ref) over(order by DTStamp)  = Ref
                      and
                          lag(Qty) over(order by DTStamp)  = Qty
                   then 0
                 else 1
               end start_of_group
         from  t
      ),
t2 as (
       select  t1.*,
               sum(start_of_group) over(order by DTStamp) grp
         from  t1
      )
select  Site,
        Usr,
        Station,
        Code,
        min(DTStamp) STARTTS,
        max(ENDTS) ENDTS,
        Ref,
        Qty
  from  t2
  group by grp,
           Site,
           Usr,
           Station,
           Code,
           Ref,
           Qty
  order by STARTTS
/

SITE   USR    STATIO CODE       STARTTS                             ENDTS                               REF          QTY
------ ------ ------ ---------- ----------------------------------- ----------------------------------- ----- ----------
Site_1 user_1 RPT104 Activity_1 16-MAY-11 01.43.06.566193000 PM     16-MAY-11 02.05.23.572211000 PM     ref_1       1125
Site_1 user_1 RPT104 Activity_2 16-MAY-11 02.05.23.572211000 PM     16-MAY-11 02.06.01.058978000 PM     ref_2       1125
Site_1 user_1 RPT104 Activity_1 16-MAY-11 02.06.01.058978000 PM     16-MAY-11 02.06.41.341612000 PM     ref_1       1125
Site_1 user_1 RPT104 Activity_3 16-MAY-11 02.06.41.341612000 PM     16-MAY-11 02.06.53.530405000 PM     ref_1       1125

SQL>

    SY.

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    Hi all

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    I use oracle apex 4.0 version and oracle 10g r2 database. I tried to reproduce the same requirement in my personal workspace. Here are the details. Please take a look.

    Workspace: raghu_workspace

    username: orton607

    password: orton607

    APP # 72193

    PG # 1

    Any help is appreciated.

    Thanks in advance.

    Orton.

    You can get the value of the date of entry:

    $(ele) .datePicker ('getDate');

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    date2 var = $(d2) .datepicker ('getDate');

    if(date1 && date2) {}

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    } else {}

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    }

    }

    The logic based on setting (I have two years from years of 365 days preceding)

    Then in the D.A. specify a JavaScript expression as:

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    Hi everyone, yet once landed upward with a problem.

    After trying many things to myself, finally decided to post here...

    I created a form in form builder 6i in which clicking on a button, the data gets exported to the excel sheet.

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    Because the tables have the same number of columns and the columns names.

    Here are the 2 tables with column names:

    Table-1 (MONTHLY_PART_1) Table-2 (MONTHLY_PART_2)
    SL_NOSL_NO
    MODELMODEL
    END_DATEEND_DATE
    U-1U-1
    U-2U-2
    U-4U-4
    ..................
    ..................
    U-20U-20
    U-25U-25

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    402 error at line 103, column 4

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    Should I paste the code? Should I publish this query in 'SQL and PL/SQL ' Forum?

    Help me with this please.

    Thank you.

    Wait a second... is this a kind of House of partitioning? Shouldn't it is a union of two tables instead a join?

    see you soon

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  • Group records with time

    Hi all

    This is our requirement.

    We must combine records with time.

    for example: period = 3
    TABLE: XX_SALES
    ---------------------------------------------
    XDATE XQTY
    ---------------------------------------------
    10 5/1/2012
    20 2/5/2012
    3/5/2012 30
    4/5/2012 60
    12 2012/5/7
    8/5/2012 23
    45 8/5/2012
    100 12/5 / 2012
    5/2012/13 55
    5/2012/15 99

    == >
    ---------------------------------------------
    XDATE XQTY
    ---------------------------------------------
    1/5/2012 10-> 5/1/2012 Group (5/1/2012 ~ 3/5/2012)
    2/5/2012 20-> 5/1/2012 Group (5/1/2012 ~ 3/5/2012)
    3/5/2012 30-> 5/1/2012 Group (5/1/2012 ~ 3/5/2012)
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    8/5/2012 23-> Group 5/2012/7 (5/7/2012 ~ 9/5/2012) *.
    8/5/2012 45-> Group 5/2012/7 (5/7/2012 ~ 9/5/2012) *.
    5/2012/12 100-> Group 5/12/2012 (2012/5/12 ~ 14/5/2012) *.
    13/5/2012 55-> Group 5/12/2012 (2012/5/12 ~ 14/5/2012) *.
    5/15/2012 99-> Group 5/15/2012 (15/5/2012 ~ 5/17/2012) *.

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    ---------------------------------------------
    XDATE_G XQTY_G
    ---------------------------------------------
    60 1/5/2012
    4/5/2012 60
    2012/5/7 80
    12/5/2012 155
    5/2012/15 99


    Here's the example script
     
create table XX_SALES(XDATE DATE, XQTY Number);
insert into XX_SALES VALUES(to_date('20120501','YYYYMMDD'),10);
insert into XX_SALES VALUES(to_date('20120502','YYYYMMDD'),20);
insert into XX_SALES VALUES(to_date('20120503','YYYYMMDD'),30);
insert into XX_SALES VALUES(to_date('20120504','YYYYMMDD'),60);
insert into XX_SALES VALUES(to_date('20120507','YYYYMMDD'),12);
insert into XX_SALES VALUES(to_date('20120508','YYYYMMDD'),23);
insert into XX_SALES VALUES(to_date('20120508','YYYYMMDD'),45);
insert into XX_SALES VALUES(to_date('20120512','YYYYMMDD'),100);
insert into XX_SALES VALUES(to_date('20120513','YYYYMMDD'),55);
insert into XX_SALES VALUES(to_date('20120515','YYYYMMDD'),99);
    We can solve this problem by using the loop now:
    to find the XDATE_G and it's rank in the loop and the XQTY in the range of the sum.
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  V_DATE_FROM DATE := NULL;
  V_DATE_TO   DATE := NULL;
  V_QTY_SUM   NUMBER := 0;
  CURSOR CUR_DATE IS
    SELECT DISTINCT XDATE FROM XX_SALES ORDER BY XDATE;
BEGIN
  FOR REC IN CUR_DATE LOOP
    IF V_DATE_TO IS NULL OR REC.XDATE > V_DATE_TO THEN
      V_DATE_FROM := REC.XDATE;
      V_DATE_TO   := REC.XDATE + 3 - 1;
      SELECT SUM(XQTY)
        INTO V_QTY_SUM
        FROM XX_SALES
       WHERE XDATE >= V_DATE_FROM
         AND XDATE <= V_DATE_TO;
      DBMS_OUTPUT.PUT_LINE(TO_CHAR(V_DATE_FROM, 'YYYYMMDD') ||
                           '-----qty: ' || TO_CHAR(V_QTY_SUM));
    END IF;
  END LOOP;
END;
    Is it possible to solve this problem by using analyze sql?


    Thanks in advance,
    Best regards
    Zhxiang

    Published by: zhxiangxie on April 26, 2012 14:41 fixed the grouping expected data

    There was an article about a similar problem in Oracle Magazine recently:

    http://www.Oracle.com/technetwork/issue-archive/2012/12-Mar/o22asktom-1518271.html

    See the section on the 'grouping beaches '. They needed a total cumulative who started once the total reaches a certain amount.

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    This can be done with the analytical functions.

    Here is a solution-based 'code listing 5', the solution MODEL, which is recommended in the article.

    SELECT FIRST_DATE, SUM(XQTY) SUM_XQTY FROM (
  SELECT * FROM xx_sales
  MODEL DIMENSION BY(ROW_NUMBER() OVER(ORDER BY XDATE) RN)
  MEASURES(XDATE, XDATE FIRST_DATE, XQTY)
  RULES(
    FIRST_DATE[RN > 1] =
      CASE WHEN XDATE[CV()] - FIRST_DATE[CV() - 1] >= 3
      THEN xdate[cv()]
      ELSE FIRST_DATE[CV() - 1]
      END
  )
)
GROUP BY first_date ORDER BY first_date;

FIRST_DATE            SUM_XQTY
--------------------- --------
2012/05/01 00:00:00         60
2012/05/04 00:00:00         60
2012/05/07 00:00:00         80
2012/05/12 00:00:00        155
2012/05/15 00:00:00         99

    If you 9i, there is no function model. In this case, I can give you a solution using START WITH / CONNECT BY that does not work as well.

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                                      )
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                               end start_dt,
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                               end end_dt
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                      )
            select  sum(greatest(end_dt - start_dt,0)) * 24 * 60 work_minutes
              into  v_return
              from  t
              where trunc(start_dt) - trunc(start_dt,'iw') < 5; -- exclude weekends
            RETURN v_return;
        END;
        /

    I am running into an issue that when the p_end_date is before the p_start_date value the function returns the full time between the dates without regard for business hours. if the end_date is before the start date I get the expected result i.e. difference between the dates in business hours.

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    Correct labour code is the following, I've annotated so that he could help someone else looking for a solution like this:

    CREATE OR REPLACE
      FUNCTION get_bus_minutes_between(
                                       p_start_date DATE,  --these are the 2 dates passed into the function
                                       p_end_date DATE     --these are the 2 dates passed into the function
    )
    RETURN NUMBER
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    v_return NUMBER;

            l_start  DATE;

            l_end    DATE;

            l_factor NUMBER;
        BEGIN

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               l_start  := p_start_date;                  -- and then assigns the earliest date to p_start_date

               l_end    := p_end_date;

               l_factor := 1;

            ELSE   -- swap the dates around, and multiply the result by -1

               l_start  := p_end_date;

               l_end    := p_start_date;

               l_factor := -1;

            END IF;

            with t as (
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                                 else trunc(l_start) + level - 15 / 24  --if the start time is adjusted this value must also be adjusted
                               end start_dt,
                               case connect_by_isleaf
                                 when 1 then least(l_end,trunc(l_end) + 20 / 24)  -- this sets the end of working hours
                                 else trunc(l_start) + level - 4 / 24  -- if the end time is adjusted this value must also be adjusted
                               end end_dt
                         from  dual
                         connect by level <= trunc(l_end) - trunc(l_start) + 1
                      )
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              into  v_return
              from  t
              where trunc(start_dt) - trunc(start_dt,'iw') < 5; -- this exclude weekends
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        END;
        /

  • How to create dummy data with 1 TB

    Hi Expert,

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    Respect of

    Liang

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    as

    with

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    )

    ,

    generator2 as)

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    )

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    generator2 g2

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  • Error: The lines of data with unmapped dimensions exist for period "1 April 2014".

    Expert Hi

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    [JRockit (R) Oracle (Oracle Corporation)]
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    2014-04-29 06:10:46, 321 [AIF] INFO: number of lines inserted in TDATAMAPSEG: 171
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    2014-04-29 06:10:46, 408 [AIF] INFO: - START NEXT STEP -
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    2014-04-29 06:10:46, 551 FATAL [AIF]: COMM error validating data
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    Thanks to all you guys

    This problem is solved after I maped all dimensions in order of loading the data. I traced only Entity, account, Custom1 and Custom2 at first because there is no source map Custom3, Custom4 and PIC. After doing the mapping for Custom3, Custom4 and PKI, the problem is resolved. This is why all dimensions should be mapped here.

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