Function MAX in OBIEE

Hi all

My problem can be summarized as follows:

I have a human resources table that stores information from the person. I then use this table in my reports. The issue is
a person may have several registers in the table and because I need to select the disc for the person, the only record
must be selected. The thing is, by an inherent logic in which the table was developed, the only way the last drive for a person can be selected
by taking the MAX (SURRO_PERSON_ID) for this person (surrogate key is the primary key for the table and is filled by a sequence, so the max will give the last disc
for this person)

I created a complex join in the RPD and since impossible to use as MAX aggregate functions in the expression to the RPD Builder, I want to know
If there is a way by which I can achieve. It would be nice if I could do the RPD itself rather than answers, but if there is no other way
so it's good.
Please let me know if you need more info.

Thank you very much.

Hello.

As I unerstood the PERSON a PERSON_ID as primary key table. Table PERSON_INFORMATION
a number of records for a single person or by a PERSON_ID so the PERSON_ID is foreign key to the PERSON table
and SURRO_PERSON_ID is the sequence (PK).

Follow these steps:

Point of view is simply select analyzed a database (it is not really an extended view in the database).

Your point of view PERSON_INFORMATION_V will be something like:

Select pi.surro_person_id,
PI.person_id,
PI.*
person_information pi
where pi.surro_person_id in
(select max (pi.surro_person_id)
of person_information where person_id = pi.person_id)

Of course, you must put all the columns you need in the select part.

Now you create a join view in a PERSON table FK physical layer:
PERSON_INFORMATION_V.PERSON_ID = PERSON. PERSON_ID

A person may have only one line in PERSON_INFORMATION_V.

MDB, you need to create 2 logical tables.

One is for the fact table and secondly for the PERSON table.

MDB to a complex join between NO logical tables and logical (before making FK join between these)
two tables in the physical layer PERSON. PERSON_ID = DONE. PERSON_ID).

In the logical table PERSON you only have a single table logic source (PERSON table) and inside in general tab, you
It should be added the physical table PERSON_INFORMATION_V and join physical it, you can do that because a person has information that one person.

So in MDB, you have a FACT and one dimension (PERSON with PERSON_INFORMATION_V flakes in there.

I hope this helps.

Concerning
Goran
http://108obiee.blogspot.com

Tags: Business Intelligence

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    MAG says:
    Just a small request.

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"FROM ChangeLog " +
"WHERE beforeUpdate like '%Status:Active%' " +
"AND beforeUpdate like '%labID:" + labID + "%'";

stmt = conn.createStatement();
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    Site_1 user_1 RPT104 Activity_3 16 May 11 14.06.49.472606000 ref_1 1125
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    Site_1 user_1 RPT104 Activity_3 16 May 11 14.06.49.513645000 ref_1 1125
    Site_1 user_1 RPT104 Activity_3 16 May 11 14.06.49.530405000 ref_1 1125


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    --------     ---------     ----------     -------------     ---------------------------------------------     ---------------------------------------------          ----------     -------
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    Site_1 user_1 RPT104 Activity_2 14.05.23.572211000 16 May 11 May 16, 11 14.06.01.058978000 ref_2 1125
    Site_1 user_1 RPT104 Activity_1 14.06.01.058978000 16 May 11 May 16, 11 14.06.41.341612000 ref_1 1125
    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)
    either may 16, 11 14.06.53.530405000)


    I can get the hours start and end without problem using data intial twice and it compensation by a rownum is but using the functions max and min based on the data that I get:

    Site user station code start end ref Qty
    --------     ---------     ----------     -------------     ---------------------------------------------     ---------------------------------------------          ----------     -------
    Site_1 user_1 RPT104 Activity_1 16 May 11 13.43.06.566193000 * May 16, 11 14.06.41.341612000 * ref_1 1125
    Site_1 user_1 RPT104 Activity_2 14.05.23.572211000 16 May 11 May 16, 11 14.06.01.058978000 ref_2 1125
    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)
    either may 16, 11 14.06.53.530405000)

    who is missing on the 3rd line of the previous dataset (if everything goes well in fat after validation) and assigns the wrong time end.

    I think the solution may have soemthing to do using the function dense_rank() (any ORDER by code, start) but I'm not too familiar with it and I think that the facts in the Start column data is unique it affects its functioning.

    If anyone can offer any help or point me in the right direction I'll offer eternal grace and rest a drink we should never meet!

    see you soon

    Published by: MickyMick on June 7, 2011 03:21

    BobLilly wrote:
    Tabibitosan of Aketi method can be applied here (see {: identifier of the thread = 1005478})

    Site_1 user_1 RPT104 Activity_1 2011-05-16 13.43.06.566193000 2011-05-16 14.05.23.572211000 ref_1 1125
    Site_1 user_1 RPT104 Activity_2 2011-05-16 14.05.23.572211000 2011-05-16 14.06.01.058978000 ref_2 1125
    Site_1 user_1 RPT104 Activity_1 2011-05-16 14.06.01.058978000 2011-05-16 14.06.41.341612000 ref_1 1125
    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
Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_1' as Code
, 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
Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_1' as Code
, 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
Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_1' as Code
, 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
Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_1' as Code
, 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
Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_2' as Code
, 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
Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_3' as Code
, 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
, to_timestamp('16-MAY-11 14.06.49.375972000', '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 14.06.49.388699000', '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
Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_3' as Code
, 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
Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_3' as Code
, 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
Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_3' as Code
, 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
Select 'Site_1' as Site, 'user_1' as Usr, 'RPT104' as Station, 'Activity_3' as Code
, 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.

  • How to only the totals using the native summary column (= "SUM () function

    Hi all, this is my data model:

    < name of dataTemplate 'Employees' description = 'Simple Dept - Emp' = >
    < dataQuery >
    < SQLStatement instance name = "Q1" >
    <! [CDATA]
    Select SERVICES. DEPTNO as DEPTNO,
    DEPARTMENTS. DNAME as a DNAME
    Scott. MINISTRIES DEPT order by DEPTNO]] >
    < / sqlStatement >
    < SQLStatement instance name = "Q2" >
    <! [CDATA [Select
    EMPLOYEES. ENAME like EMP_NAME,
    EMPLOYEES. EMPNO as EMPNO,
    EMPLOYEES. Hiring as HIREDATE date,
    EMPLOYEES. SAL as WAGES,
    EMPLOYEES. DEPTNO as EMP_DEPTNO
    Scott. EMPLOYEES OF THE EMP
    where EMPLOYED. [[DEPTNO =: DEPTNO]] >
    < / sqlStatement >
    < / dataQuery >
    < dataStructure >
    < name of group = "G_DEPT" source = "Q1" >
    < element name = "DEPTNO" value = "DEPTNO" / >
    < element name = "DNAME" value = "DNAME" / >
    < element name = "TOTAL_EMPS" value = "G_EMP. EMPNO"function ="COUNT ()"/ >
    < element name = "TOTAL_SALARY" value = "G_EMP. SALARY"function ="SUM ()"/ >
    < element name = "AVG_SALARY" value = "G_EMP. SALARY"function ="AVG ()"/ >
    < element name = "MAX_SALARY' value = 'G_EMP. SALARY"function ="MAX ()"/ >
    < element name = "MIN_SALARY" value = "G_EMP. SALARY"function ="MIN ()"/ >
    < name of group = "G_EMP" source = "Q2" >
    < feature name = 'EMPNO' value = 'EMPNO' / >
    < element name = "EMP_NAME" value = "EMP_NAME" / >
    < element name = "HIREDATE" value = "HIREDATE" / >
    < element name = "SALARY" value = "SALARY" / >
    < / Group >
    < / Group >
    < / dataStructure >
    < / dataTemplate >

    This datatemplate works very well with the TOTAL_EMPS, TOTAL_SALARY, AVG_SALARY, MAX_SALARY MIN_SALARY split for all departments; So these are subtotals.

    Now, I need to have the totals at the end of my report to the following:

    TOTAL_ALL_EMPS
    TOTAL_ALL_SALARY
    TOTAL_ALL_AVG_SALARY
    TOTAL_ALL_MAX_SALARY
    TOTAL_ALL_MIN_SALARY

    Add a new query (Q1) with all the totals, now the data model is the following:

    < name of dataTemplate 'Employees' description = 'Simple Dept - Emp' = >
    < dataQuery >
    < SQLStatement instance name = "Q1" >
    <! [CDATA]
    Select COUNT (empno) TOTAL_ALL_EMPS, SUM (sal) TOTAL_ALL_SALARY, AVG (sal) TOTAL_ALL_AVG_SALARY, MAX (sal) TOTAL_ALL_MAX_SALARY MIN (sal) scott TOTAL_ALL_MIN_SALARY. EMPLOYEES EMP]] >
    < / sqlStatement >
    < SQLStatement instance name = "Q2" >
    <! [CDATA]
    Select SERVICES. DEPTNO as DEPTNO,
    DEPARTMENTS. DNAME as a DNAME
    Scott. MINISTRIES DEPT order by DEPTNO]] >
    < / sqlStatement >
    < SQLStatement instance name = "Q3" >
    <! [CDATA [Select
    EMPLOYEES. ENAME like EMP_NAME,
    EMPLOYEES. EMPNO as EMPNO,
    EMPLOYEES. Hiring as HIREDATE date,
    EMPLOYEES. SAL as WAGES,
    EMPLOYEES. DEPTNO as EMP_DEPTNO
    Scott. EMPLOYEES OF THE EMP
    where EMPLOYED. [[DEPTNO =: DEPTNO]] >
    < / sqlStatement >
    < / dataQuery >
    < dataStructure >
    < name of group = "G_TOT" source = "Q1" >
    < element name = "TOTAL_ALL_EMPS" value = "TOTAL_ALL_EMPS" / >
    < element name = "TOTAL_ALL_SALARY" value = "TOTAL_ALL_SALARY" / >
    < element name = "TOTAL_ALL_AVG_SALARY" value = "TOTAL_ALL_AVG_SALARY" / >
    < element name = "TOTAL_ALL_MAX_SALARY" value = "TOTAL_ALL_MAX_SALARY" / >
    < element name = "TOTAL_ALL_MIN_SALARY" value = "TOTAL_ALL_MIN_SALARY" / >
    < / Group >
    < name of group = "G_DEPT" source = "Q2" >
    < element name = "DEPTNO" value = "DEPTNO" / >
    < element name = "DNAME" value = "DNAME" / >
    < element name = "TOTAL_EMPS" value = "G_EMP. EMPNO"function ="COUNT ()"/ >
    < element name = "TOTAL_SALARY" value = "G_EMP. SALARY"function ="SUM ()"/ >
    < element name = "AVG_SALARY" value = "G_EMP. SALARY"function ="AVG ()"/ >
    < element name = "MAX_SALARY' value = 'G_EMP. SALARY"function ="MAX ()"/ >
    < element name = "MIN_SALARY" value = "G_EMP. SALARY"function ="MIN ()"/ >
    < name of group = "G_EMP" source = "Q3" >
    < feature name = 'EMPNO' value = 'EMPNO' / >
    < element name = "EMP_NAME" value = "EMP_NAME" / >
    < element name = "HIREDATE" value = "HIREDATE" / >
    < element name = "SALARY" value = "SALARY" / >
    < / Group >
    < / Group >
    < / dataStructure >
    < / dataTemplate >

    It works fine, but my question is this:

    How can I change the data model and use the native summary column (function = "SUM (), for example) to collect data that I mentioned above (TOTAL_ALL_EMPS, TOTAL_ALL_SALARY, etc.), in order to avoid a third query SQL (Q1)?
    In a few words, I would only use the query Q2 and Q3 and have overall totals and subtotals.

    Thanks in advance for any help

    Alex




    Select 1 double DUMMY_FIELD]] >


    Select SERVICES. DEPTNO as DEPTNO,
    DEPARTMENTS. DNAME as a DNAME
    Scott. MINISTRIES DEPT order by DEPTNO]] >


    EMPLOYEES. ENAME like EMP_NAME,
    EMPLOYEES. EMPNO as EMPNO,
    EMPLOYEES. Hiring as HIREDATE date,
    EMPLOYEES. SAL as WAGES,
    EMPLOYEES. DEPTNO as EMP_DEPTNO
    Scott. EMPLOYEES OF THE EMP
    where EMPLOYED. [[DEPTNO =: DEPTNO]] >






















    Try this

    Concerning
    Charlotte

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DVD1     Aiden     8
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DVD1     Alex     8
DVD1     Alyssa     8
DVD1     Arianna     8
DVD1     Ashley     8
DVD1     Ava     8
DVD1     Benjamin8
DVD1     Bianca     8
DVD1     Blake     8
DVD1     Brandon     8
DVD1     Brayden     8
DVD1     Brayden     8
DVD1     Brianna     8
DVD1     Brielle     8
DVD1     Brooklyn8
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DVD2     Dalia     11
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DVD2     Dante     11
DVD2     David     11
DVD2     Diego     11
DVD2     Dingbang11
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DVD2     Dylan     11
DVD2     Chase     11
DVD2     Chloe     11
DVD2     Christopher     11
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DVD2     Cole     11
DVD2     Connor     11
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