Help with grouping

I am a newbie to Illustrator, and I just bought a clipart site attachment so that I could use the vector arrow.

However, all the arrows seem to be grouped together - otherwise said, I select one and all of them are selected. I can't handle that an arrow. I tried to separate, but it's not even an option.

Please help!

Thank you

John

Select all > (Alt) Cmd - SHIFT - G should disassociate all the elements. Or you could mark one of the arrows with the direct Selection (Open arrow) tool

Tags: Illustrator

Similar Questions

  • Need help with Group functions

    I'm a total novice with SQL, so please forgive me if the answer to my question seems to be too obvious
    I work with diagrams of the sample (in particular with the employees table):

    DESC employees;
    result

    What I have to do is select all the managers, including the number of subordinates is higher than the average number of subordinates of managers who work in the same Department. What I've done so far is as follows:

    SELECT mgr.employee_id manager_id, Director of mgr.last_name, mgr.department_id, COUNT (emp.employee_id)
    Employees emp employees JOIN Bishop
    ON emp.manager_id = mgr.employee_id
    GROUP OF mgr.employee_id, mgr.last_name, mgr.department_id
    ORDER BY mgr.department_id;
    result

    As you can see, I'm almost done. Now, I need only to calculate the average of the result of the COUNT function for each Department. But I'm totally stuck at this point.
    All advice?

    Hello

    Welcome to the forum!

    user12107811 wrote:
    I'm a total novice with SQL, so please forgive me if the answer to my question seems to be too obvious

    Just the opposite! Looks like a very difficult mission.

    I work with diagrams of the sample (in particular with the employees table):

    DESC employees;
    result

    What I have to do is select all the managers, including the number of subordinates is higher than the average number of subordinates of managers who work in the same Department. What I've done so far is as follows:

    SELECT mgr.employee_id manager_id, Director of mgr.last_name, mgr.department_id, COUNT (emp.employee_id)
    Employees emp employees JOIN Bishop
    ON emp.manager_id = mgr.employee_id
    GROUP OF mgr.employee_id, mgr.last_name, mgr.department_id
    ORDER BY mgr.department_id;
    result

    As you can see, I'm almost done. Now, I need only to calculate the average of the result of the COUNT function for each Department. But I'm totally stuck at this point.
    All advice?

    Yes, you're almost done. You just need to add one more condition. You have to calculate the average value of total_cnt (the COUNT (*) you already do) of a Department and compare that to total_cnt.

    There are several ways to do this, including
    a scalar subquery (in a HAVING clause)
    (b) make a result set with one line per Department, containing the average_cnt and reach than your current result set
    (c) analytical functions. Analytical functions are calculated after the GROUP BY clause is applied and aggregate functions are calculated, it is legitimate to say "AVG (COUNT (*)) MORE (...)").

    If thinking (c) is the simplest. It involves the use of a query of Tahina, but (a) and (b) also require subqueries.

    This sounds like homework, so I'll do it for you.
    Instead, here is a very similar problem with the hr.employees table.
    Let's say that we are interested in total wages given each type of work in each Department.

    SELECT        department_id
    ,        job_id
    ,        SUM (salary)     AS sum_sal
    FROM        hr.employees
    GROUP BY   department_id
    ,             job_id
    ORDER BY   department_id
    ,             job_id
    ;
    

    Results:

    DEPARTMENT_ID JOB_ID        SUM_SAL
    ------------- ---------- ----------
               10 AD_ASST          4400
               20 MK_MAN          13000
               20 MK_REP           6000
               30 PU_CLERK        13900
               30 PU_MAN          11000
               40 HR_REP           6500
               50 SH_CLERK        64300
               50 ST_CLERK        55700
               50 ST_MAN          36400
               60 IT_PROG         28800
               70 PR_REP          10000
               80 SA_MAN          61000
               80 SA_REP         243500
               90 AD_PRES         24000
               90 AD_VP           34000
              100 FI_ACCOUNT      39600
              100 FI_MGR          12000
              110 AC_ACCOUNT       8300
              110 AC_MGR          12000
                  SA_REP           7000
    

    Now suppose we want to find out which of these sum_sals is higher than the average sum_sal of his Department.
    For example, in detriment 110 (near the end OIF the list) there two types of work (AC_ACCOUND and AC_MGR) that have sum_sals of 8300 and 12000. The average of these two numbers is 10150, so we selected AC_MGR (because its sum_sal, 12000, is superior to 10150, and we do not want to include AC_ACCOUNT, because its sum_sal, 8300, is less than or equal to the average of the Department.
    In departments where there is only one job type (for example, Department 70, or null "Department" at the end of the list above) the only sum_sal will be the average; and because the sum_sal is not greater than the average, we want to exclude this line.

    Let's start with the calculation of the avg_sum_sal using the analytical function AVG:

    SELECT        department_id
    ,        job_id
    ,        SUM (salary)                              AS sum_sal
    ,        AVG (SUM (salary)) OVER (PARTITION BY department_id)     AS avg_sum_sal
    FROM        hr.employees
    GROUP BY   department_id
    ,             job_id
    ORDER BY   department_id
    ,             job_id
    ;
    

    Output:

    DEPARTMENT_ID JOB_ID        SUM_SAL AVG_SUM_SAL
    ------------- ---------- ---------- -----------
               10 AD_ASST          4400        4400
               20 MK_MAN          13000        9500
               20 MK_REP           6000        9500
               30 PU_CLERK        13900       12450
               30 PU_MAN          11000       12450
               40 HR_REP           6500        6500
               50 SH_CLERK        64300  52133.3333
               50 ST_CLERK        55700  52133.3333
               50 ST_MAN          36400  52133.3333
               60 IT_PROG         28800       28800
               70 PR_REP          10000       10000
               80 SA_MAN          61000      152250
               80 SA_REP         243500      152250
               90 AD_PRES         24000       29000
               90 AD_VP           34000       29000
              100 FI_ACCOUNT      39600       25800
              100 FI_MGR          12000       25800
              110 AC_ACCOUNT       8300       10150
              110 AC_MGR          12000       10150
                  SA_REP           7000        7000
    

    Now all we have to do is to compare the sum_sal and avg_sum_sal columns.
    Given that the analytic functions are calculated after the WHERE clause is applied, we cannot use avg_sum_sal in the WHERE clause of the query, even where it has been calculated. But we can do that in a subquery; Then, we can use avg_sum_sal in any way that we love in the Super-requete:

    WITH     got_avg_sum_sal       AS
    (
         SELECT        department_id
         ,        job_id
         ,        SUM (salary)                              AS sum_sal
         ,        AVG (SUM (salary)) OVER (PARTITION BY department_id)     AS avg_sum_sal
         FROM        hr.employees
         GROUP BY   department_id
         ,             job_id
    )
    SELECT        department_id
    ,        job_id
    ,        sum_sal
    FROM        got_avg_sum_sal
    WHERE        sum_sal     > avg_sum_sal
    ORDER BY   department_id
    ,             job_id
    ;
    

    Results:

    DEPARTMENT_ID JOB_ID        SUM_SAL
    ------------- ---------- ----------
               20 MK_MAN          13000
               30 PU_CLERK        13900
               50 SH_CLERK        64300
               50 ST_CLERK        55700
               80 SA_REP         243500
               90 AD_VP           34000
              100 FI_ACCOUNT      39600
              110 AC_MGR          12000
    
  • Help with the situation where a simple group by statement does not work

    There is a table with two columns, which is memo (varchar2), another is recording_date (date). This table is used to recode an every day event. Right now, I need to know how many events registered each day during the time period (between any of the given day and any given end day). the result by selecting should have two columns the numeration of the event, the recording_date. chances are one day it is not just any event, in this situation there not all inserted rows so far here, but the result by selecting must contain also that day with the column count is set to zero.
    between 2010-4-5 and 2010-4-8
    Count   recording_date
    2             2010-4-5
    0             2010-4-6
    1             2010-4-7
    9             2010-4-8
    Can anyone help with this? Thank you in advance!
    Kind regards!

    Hello
    See if this helps:

    I create a dummy cursor that contains one row for each day of the last year - I then outer join the result of the query against the log_table.

    Here are my RAW file
    Select * from log_data

    07/05/2010 1, TEST
    TEST 2 05/05/2010
    02/05/2010 3, TEST
    30/04/2010 4, TEST
    TEST OF 5 30/04/2010
    30/04/2010 6, TEST
    7-30/04/2010 TEST
    8 TEST 06/05/2010
    9 TEST 06/05/2010
    10 06/05/2010 TEST
    11 06/05/2010 TEST
    06/05/2010 12, TEST
    13 TEST 06/05/2010
    2010-05-06 14, TEST
    15 06/05/2010 TEST
    16 06/05/2010 TEST
    2010-05-06 17, TEST

    And here's the query

    with date_ranger as (select trunc (sysdate-) level datecol
    from dual connect by level<= 365="">
    RAW_DATA as)
    Select recording_date, count (*) numrows in log_data
    Group of recording_date)
    Select datecol, date_ranger numrows, raw_data
    where = date_ranger.datecol raw_data.recording_date (+)
    and datecol sysdate-10-sysdate
    order by 1

    And the result

    1 28/04/2010
    2 29/04/2010
    30/04/2010 3, 4
    4 01/05/2010
    02/05/2010 5, 1
    6 03/05/2010
    7 04/05/2010
    8 05/05/2010 1
    9 06/05/10/2010

    What you want?

    See you soon,.
    Harry

  • Need help with query SQL Inline views + Group

    Hello gurus,

    I would really appreciate your time and effort on this application. I have the following data set.

    Reference_No---Check_Number---Check_Date---description---Invoice_Number---Invoice_Type---Paid_Amount---Vendor_Number
    1234567 11223 - 05/07/2008 -paid for cleaning- 44345563-I-* 20.00 *---19
    1234567 11223 - 05/07/2008 - 44345563 -a--10,00---19 ofbad quality adjustment
    7654321 11223 - 05/07/2008 - setting the last billing cycle - 23543556 - A - 50.00 - 19
    4653456 11223 - 05/07/2008 - paid for cleaning - 35654765 - I - 30, 00-19

    Please ignore '-' added for clarity

    I'm writing a paid_amount based on Reference_No, Check_Number, Payment_Date, Invoice_Number, aggregate query Invoice_Type, Vendor_Number and display description with Invoice_type 'I' when there are multiple records with the same Reference_No, Check_Number, Payment_Date, Invoice_Type, Invoice_Number, Vendor_Number. When there are no more records I want to display the respective Description.

    The query should return the following data set

    Reference_No---Check_Number---Check_Date---description---Invoice_Number---Invoice_Type---Paid_Amount---Vendor_Number
    1234567 11223 - 05/07/2008 -paid for cleaning- 44345563-I-* 10.00 *---19
    7654321 11223 - 05/07/2008 - setting the last billing cycle - 23543556 - A - 50.00 - 19
    4653456 11223 - 05/07/2008 - paid for cleaning - 35654765 - I - 30, 00-19
    Here's my query. I'm a little lost.

    Select b., A.sequence_id, A.check_date, A.check_number, A.invoice_number, A.amount, A.vendor_number
    de)
    Select sequence_id, check_number, check_date, invoice_number, sum (paid_amount) sum, vendor_number
    of the INVOICE
    Sequence_id group check_date, check_number, invoice_number, vendor_number
    ) A, B OF INVOICE
    where A.sequence_id = B.sequence_id


    Thank you
    Nick

    It seems that this is a duplicate thread - correct me if I am wrong in this case->

    Need help with query SQL Inline views + Group

    Kind regards.

    LOULOU.

  • Help with summaries of group and excluding empty fields...

    I did bi publisher reports before but never with groups/group for each field counts. I can put the summary for the fields in each group, but it has all the lines in the Group and not just the data in the line. IE if there are 16 entities in the group, but only the dates of 13 of them I always get 16 total Group. I searched for more information otn and tried many things, but I just don't get it.

    Another problem I have - the model created with the bi Publisher - increase the power of the Word show no data when it uploaded to the server only the headers...
    what I am doing wrong?
    That's what I want my data to look like with the charges.

    Thanks for any help

    Rose

    ENTITY MAFUNIV GRFCUNIV GRFMFXDPC GRFMFXDPD FDCASPDPC FDCASPDPD
    2111 16 OCTOBER 08-14 OCTOBER 08 17 OCTOBER 08
    2112 15 OCTOBER 08
    2118 15 OCTOBER 08-15 OCTOBER 08
    2122 16 OCTOBER 08-15 OCTOBER 08
    2126 16 OCTOBER 08-15 OCTOBER 08
    2130 16 OCTOBER 08
    2131 16 OCTOBER 08-15 OCTOBER 08
    2133 16 OCTOBER 08-15 OCTOBER 08
    2135 16 OCTOBER 08-15 OCTOBER 08
    2141 16 OCTOBER 08-15 OCTOBER 08
    2144 16 OCTOBER 08-15 OCTOBER 08
    2146 16 OCTOBER 08-15 OCTOBER 08
    2147 16 OCTOBER 08-15 OCTOBER 08
    2152 17 OCTOBER 08-15 OCTOBER 08
    2153 16 OCTOBER 08-15 OCTOBER 08
    15 15 (13)


    <? XML version = "1.0"? >
    < results >
    < row >
    < RONAME > <! [CDATA [Boston]] > < / RONAME >
    < ENTITY > <! [CDATA [2111]] > < / FEATURE >
    < MAFUNIV > <! [CDATA [16 October 08]] > < / MAFUNIV >
    < GRFCUNIV > <! [CDATA [14 October 08]] > < / GRFCUNIV >
    < GRFMFXDPC > <! [CDATA []] > < / GRFMFXDPC >
    < GRFMFXDPD > <! [CDATA []] > < / GRFMFXDPD >
    < FDCASPDPC > <! [CDATA [17 October 08]] > < / FDCASPDPC >
    < FDCASPDPD > <! [CDATA []] > < / FDCASPDPD >
    < / row >
    < row >
    < RONAME > <! [CDATA [Boston]] > < / RONAME >
    < ENTITY > <! [CDATA [2112]] > < / FEATURE >
    < MAFUNIV > <! [CDATA [15 October 08]] > < / MAFUNIV >
    < GRFCUNIV > <! [CDATA []] > < / GRFCUNIV >
    < GRFMFXDPC > <! [CDATA []] > < / GRFMFXDPC >
    < GRFMFXDPD > <! [CDATA []] > < / GRFMFXDPD >
    < FDCASPDPC > <! [CDATA []] > < / FDCASPDPC >
    < FDCASPDPD > <! [CDATA []] > < / FDCASPDPD >
    < / row >
    < row >
    < RONAME > <! [CDATA [Boston]] > < / RONAME >
    < ENTITY > <! [CDATA [2118]] > < / FEATURE >
    < MAFUNIV > <! [CDATA [15 October 08]] > < / MAFUNIV >
    < GRFCUNIV > <! [CDATA [15 October 08]] > < / GRFCUNIV >
    < GRFMFXDPC > <! [CDATA []] > < / GRFMFXDPC >
    < GRFMFXDPD > <! [CDATA []] > < / GRFMFXDPD >
    < FDCASPDPC > <! [CDATA []] > < / FDCASPDPC >
    < FDCASPDPD > <! [CDATA []] > < / FDCASPDPD >
    < / row >
    < row >
    < RONAME > <! [CDATA [Boston]] > < / RONAME >
    < ENTITY > <! [CDATA [2122]] > < / FEATURE >
    < MAFUNIV > <! [CDATA [16 October 08]] > < / MAFUNIV >
    < GRFCUNIV > <! [CDATA [15 October 08]] > < / GRFCUNIV >
    < GRFMFXDPC > <! [CDATA []] > < / GRFMFXDPC >
    < GRFMFXDPD > <! [CDATA []] > < / GRFMFXDPD >
    < FDCASPDPC > <! [CDATA []] > < / FDCASPDPC >
    < FDCASPDPD > <! [CDATA []] > < / FDCASPDPD >
    < / row >
    < row >
    < RONAME > <! [CDATA [Boston]] > < / RONAME >
    < ENTITY > <! [CDATA [2126]] > < / FEATURE >
    < MAFUNIV > <! [CDATA [16 October 08]] > < / MAFUNIV >
    < GRFCUNIV > <! [CDATA [15 October 08]] > < / GRFCUNIV >
    < GRFMFXDPC > <! [CDATA []] > < / GRFMFXDPC >
    < GRFMFXDPD > <! [CDATA []] > < / GRFMFXDPD >
    < FDCASPDPC > <! [CDATA []] > < / FDCASPDPC >
    < FDCASPDPD > <! [CDATA []] > < / FDCASPDPD >
    < / row >
    < row >
    < RONAME > <! [CDATA [Boston]] > < / RONAME >
    < ENTITY > <! [CDATA [2130]] > < / FEATURE >
    < MAFUNIV > <! [CDATA [16 October 08]] > < / MAFUNIV >
    < GRFCUNIV > <! [CDATA []] > < / GRFCUNIV >
    < GRFMFXDPC > <! [CDATA []] > < / GRFMFXDPC >
    < GRFMFXDPD > <! [CDATA []] > < / GRFMFXDPD >
    < FDCASPDPC > <! [CDATA []] > < / FDCASPDPC >
    < FDCASPDPD > <! [CDATA []] > < / FDCASPDPD >
    < / row >
    < row >
    < RONAME > <! [CDATA [Boston]] > < / RONAME >
    < ENTITY > <! [CDATA [2131]] > < / FEATURE >
    < MAFUNIV > <! [CDATA [16 October 08]] > < / MAFUNIV >
    < GRFCUNIV > <! [CDATA [15 October 08]] > < / GRFCUNIV >
    < GRFMFXDPC > <! [CDATA []] > < / GRFMFXDPC >
    < GRFMFXDPD > <! [CDATA []] > < / GRFMFXDPD >
    < FDCASPDPC > <! [CDATA []] > < / FDCASPDPC >
    < FDCASPDPD > <! [CDATA []] > < / FDCASPDPD >
    < / row >
    < row >
    < RONAME > <! [CDATA [Boston]] > < / RONAME >
    < ENTITY > <! [CDATA [2133]] > < / FEATURE >
    < MAFUNIV > <! [CDATA [16 October 08]] > < / MAFUNIV >
    < GRFCUNIV > <! [CDATA [15 October 08]] > < / GRFCUNIV >
    < GRFMFXDPC > <! [CDATA []] > < / GRFMFXDPC >
    < GRFMFXDPD > <! [CDATA []] > < / GRFMFXDPD >
    < FDCASPDPC > <! [CDATA []] > < / FDCASPDPC >
    < FDCASPDPD > <! [CDATA []] > < / FDCASPDPD >
    < / row >
    < row >
    < RONAME > <! [CDATA [Boston]] > < / RONAME >
    < ENTITY > <! [CDATA [2135]] > < / FEATURE >
    < MAFUNIV > <! [CDATA [16 October 08]] > < / MAFUNIV >
    < GRFCUNIV > <! [CDATA [15 October 08]] > < / GRFCUNIV >
    < GRFMFXDPC > <! [CDATA []] > < / GRFMFXDPC >
    < GRFMFXDPD > <! [CDATA []] > < / GRFMFXDPD >
    < FDCASPDPC > <! [CDATA []] > < / FDCASPDPC >
    < FDCASPDPD > <! [CDATA []] > < / FDCASPDPD >
    < / row >
    < row >
    < RONAME > <! [CDATA [Boston]] > < / RONAME >
    < ENTITY > <! [CDATA [2141]] > < / FEATURE >
    < MAFUNIV > <! [CDATA [16 October 08]] > < / MAFUNIV >
    < GRFCUNIV > <! [CDATA [15 October 08]] > < / GRFCUNIV >
    < GRFMFXDPC > <! [CDATA []] > < / GRFMFXDPC >
    < GRFMFXDPD > <! [CDATA []] > < / GRFMFXDPD >
    < FDCASPDPC > <! [CDATA []] > < / FDCASPDPC >
    < FDCASPDPD > <! [CDATA []] > < / FDCASPDPD >
    < / row >
    < row >
    < RONAME > <! [CDATA [Boston]] > < / RONAME >
    < ENTITY > <! [CDATA [2144]] > < / FEATURE >
    < MAFUNIV > <! [CDATA [16 October 08]] > < / MAFUNIV >
    < GRFCUNIV > <! [CDATA [15 October 08]] > < / GRFCUNIV >
    < GRFMFXDPC > <! [CDATA []] > < / GRFMFXDPC >
    < GRFMFXDPD > <! [CDATA []] > < / GRFMFXDPD >
    < FDCASPDPC > <! [CDATA []] > < / FDCASPDPC >
    < FDCASPDPD > <! [CDATA []] > < / FDCASPDPD >
    < / row >
    < row >
    < RONAME > <! [CDATA [Boston]] > < / RONAME >
    < ENTITY > <! [CDATA [2146]] > < / FEATURE >
    < MAFUNIV > <! [CDATA [16 October 08]] > < / MAFUNIV >
    < GRFCUNIV > <! [CDATA [15 October 08]] > < / GRFCUNIV >
    < GRFMFXDPC > <! [CDATA []] > < / GRFMFXDPC >
    < GRFMFXDPD > <! [CDATA []] > < / GRFMFXDPD >
    < FDCASPDPC > <! [CDATA []] > < / FDCASPDPC >
    < FDCASPDPD > <! [CDATA []] > < / FDCASPDPD >
    < / row >
    < row >
    < RONAME > <! [CDATA [Boston]] > < / RONAME >
    < ENTITY > <! [CDATA [2147]] > < / FEATURE >
    < MAFUNIV > <! [CDATA [16 October 08]] > < / MAFUNIV >
    < GRFCUNIV > <! [CDATA [15 October 08]] > < / GRFCUNIV >
    < GRFMFXDPC > <! [CDATA []] > < / GRFMFXDPC >
    < GRFMFXDPD > <! [CDATA []] > < / GRFMFXDPD >
    < FDCASPDPC > <! [CDATA []] > < / FDCASPDPC >
    < FDCASPDPD > <! [CDATA []] > < / FDCASPDPD >
    < / row >
    < row >
    < RONAME > <! [CDATA [Boston]] > < / RONAME >
    < ENTITY > <! [CDATA [2152]] > < / FEATURE >
    < MAFUNIV > <! [CDATA [17 October 08]] > < / MAFUNIV >
    < GRFCUNIV > <! [CDATA [15 October 08]] > < / GRFCUNIV >
    < GRFMFXDPC > <! [CDATA []] > < / GRFMFXDPC >
    < GRFMFXDPD > <! [CDATA []] > < / GRFMFXDPD >
    < FDCASPDPC > <! [CDATA []] > < / FDCASPDPC >
    < FDCASPDPD > <! [CDATA []] > < / FDCASPDPD >
    < / row >
    < row >
    < RONAME > <! [CDATA [Boston]] > < / RONAME >
    < ENTITY > <! [CDATA [2153]] > < / FEATURE >
    < MAFUNIV > <! [CDATA [16 October 08]] > < / MAFUNIV >
    < GRFCUNIV > <! [CDATA [15 October 08]] > < / GRFCUNIV >
    < GRFMFXDPC > <! [CDATA []] > < / GRFMFXDPC >
    < GRFMFXDPD > <! [CDATA []] > < / GRFMFXDPD >
    < FDCASPDPC > <! [CDATA []] > < / FDCASPDPC >
    < FDCASPDPD > <! [CDATA []] > < / FDCASPDPD >
    < / row >
    < row >
    < RONAME > <! [CDATA [New York]] > < / RONAME >
    < ENTITY > <! [CDATA [2214]] > < / FEATURE >
    < MAFUNIV > <! [CDATA [15 October 08]] > < / MAFUNIV >
    < GRFCUNIV > <! [CDATA [15 October 08]] > < / GRFCUNIV >
    < GRFMFXDPC > <! [CDATA [17 October 08]] > < / GRFMFXDPC >
    < GRFMFXDPD > <! [CDATA []] > < / GRFMFXDPD >
    < FDCASPDPC > <! [CDATA []] > < / FDCASPDPC >
    < FDCASPDPD > <! [CDATA []] > < / FDCASPDPD >
    < / row >
    < row >
    < RONAME > <! [CDATA [New York]] > < / RONAME >
    < ENTITY > <! [CDATA [2217]] > < / FEATURE >
    < MAFUNIV > <! [CDATA [15 October 08]] > < / MAFUNIV >
    < GRFCUNIV > <! [CDATA [15 October 08]] > < / GRFCUNIV >
    < GRFMFXDPC > <! [CDATA []] > < / GRFMFXDPC >
    < GRFMFXDPD > <! [CDATA []] > < / GRFMFXDPD >
    < FDCASPDPC > <! [CDATA []] > < / FDCASPDPC >
    < FDCASPDPD > <! [CDATA []] > < / FDCASPDPD >
    < / row >
    < row >
    < RONAME > <! [CDATA [New York]] > < / RONAME >
    < ENTITY > <! [CDATA [2221]] > < / FEATURE >
    < MAFUNIV > <! [CDATA [15 October 08]] > < / MAFUNIV >
    < GRFCUNIV > <! [CDATA [15 October 08]] > < / GRFCUNIV >
    < GRFMFXDPC > <! [CDATA []] > < / GRFMFXDPC >
    < GRFMFXDPD > <! [CDATA []] > < / GRFMFXDPD >
    < FDCASPDPC > <! [CDATA []] > < / FDCASPDPC >
    < FDCASPDPD > <! [CDATA []] > < / FDCASPDPD >
    < / row >
    < row >
    < RONAME > <! [CDATA [New York]] > < / RONAME >
    < ENTITY > <! [CDATA [2226]] > < / FEATURE >
    < MAFUNIV > <! [CDATA [16 October 08]] > < / MAFUNIV >
    < GRFCUNIV > <! [CDATA [15 October 08]] > < / GRFCUNIV >
    < GRFMFXDPC > <! [CDATA []] > < / GRFMFXDPC >
    < GRFMFXDPD > <! [CDATA []] > < / GRFMFXDPD >
    < FDCASPDPC > <! [CDATA []] > < / FDCASPDPC >
    < FDCASPDPD > <! [CDATA []] > < / FDCASPDPD >
    < / row >
    < row >
    < RONAME > <! [CDATA [New York]] > < / RONAME >
    < ENTITY > <! [CDATA [2227]] > < / FEATURE >
    < MAFUNIV > <! [CDATA [16 October 08]] > < / MAFUNIV >
    < GRFCUNIV > <! [CDATA [15 October 08]] > < / GRFCUNIV >
    < GRFMFXDPC > <! [CDATA []] > < / GRFMFXDPC >
    < GRFMFXDPD > <! [CDATA []] > < / GRFMFXDPD >
    < FDCASPDPC > <! [CDATA []] > < / FDCASPDPC >
    < FDCASPDPD > <! [CDATA []] > < / FDCASPDPD >
    < / row >
    < row >
    < RONAME > <! [CDATA [New York]] > < / RONAME >
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    < GRFMFXDPC > <! [CDATA []] > < / GRFMFXDPC >
    < GRFMFXDPD > <! [CDATA []] > < / GRFMFXDPD >
    < FDCASPDPC > <! [CDATA []] > < / FDCASPDPC >
    < FDCASPDPD > <! [CDATA []] > < / FDCASPDPD >
    < / row >
    < row >
    < RONAME > <! [CDATA [New York]] > < / RONAME >
    < ENTITY > <! [CDATA [2233]] > < / FEATURE >
    < MAFUNIV > <! [CDATA [16 October 08]] > < / MAFUNIV >
    < GRFCUNIV > <! [CDATA [15 October 08]] > < / GRFCUNIV >
    < GRFMFXDPC > <! [CDATA []] > < / GRFMFXDPC >
    < GRFMFXDPD > <! [CDATA []] > < / GRFMFXDPD >
    < FDCASPDPC > <! [CDATA []] > < / FDCASPDPC >
    < FDCASPDPD > <! [CDATA []] > < / FDCASPDPD >
    < / row >
    < row >
    < RONAME > <! [CDATA [New York]] > < / RONAME >
    < ENTITY > <! [CDATA [2235]] > < / FEATURE >
    < MAFUNIV > <! [CDATA [16 October 08]] > < / MAFUNIV >
    < GRFCUNIV > <! [CDATA [15 October 08]] > < / GRFCUNIV >
    < GRFMFXDPC > <! [CDATA []] > < / GRFMFXDPC >
    < GRFMFXDPD > <! [CDATA []] > < / GRFMFXDPD >
    < FDCASPDPC > <! [CDATA []] > < / FDCASPDPC >
    < FDCASPDPD > <! [CDATA []] > < / FDCASPDPD >
    < / row >
    < row >
    < RONAME > <! [CDATA [New York]] > < / RONAME >
    < ENTITY > <! [CDATA [2242]] > < / FEATURE >
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    < GRFCUNIV > <! [CDATA [15 October 08]] > < / GRFCUNIV >
    < GRFMFXDPC > <! [CDATA []] > < / GRFMFXDPC >
    < GRFMFXDPD > <! [CDATA []] > < / GRFMFXDPD >
    < FDCASPDPC > <! [CDATA []] > < / FDCASPDPC >
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    < row >
    < RONAME > <! [CDATA [Philadelphia]] > < / RONAME >
    < ENTITY > <! [CDATA [2311]] > < / FEATURE >
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    < GRFCUNIV > <! [CDATA [15 October 08]] > < / GRFCUNIV >
    < GRFMFXDPC > <! [CDATA [15 October 08]] > < / GRFMFXDPC >
    < GRFMFXDPD > <! [CDATA []] > < / GRFMFXDPD >
    < FDCASPDPC > <! [CDATA []] > < / FDCASPDPC >
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    < row >
    < RONAME > <! [CDATA [Philadelphia]] > < / RONAME >
    < ENTITY > <! [CDATA [2312]] > < / FEATURE >
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    < GRFMFXDPC > <! [CDATA [17 October 08]] > < / GRFMFXDPC >
    < GRFMFXDPD > <! [CDATA []] > < / GRFMFXDPD >
    < FDCASPDPC > <! [CDATA []] > < / FDCASPDPC >
    < FDCASPDPD > <! [CDATA []] > < / FDCASPDPD >
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    < row >
    < RONAME > <! [CDATA [Philadelphia]] > < / RONAME >
    < ENTITY > <! [CDATA [2315]] > < / FEATURE >
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    < GRFMFXDPC > <! [CDATA [17 October 08]] > < / GRFMFXDPC >
    < GRFMFXDPD > <! [CDATA []] > < / GRFMFXDPD >
    < FDCASPDPC > <! [CDATA []] > < / FDCASPDPC >
    < FDCASPDPD > <! [CDATA []] > < / FDCASPDPD >
    < / row >
    < row >
    < RONAME > <! [CDATA [Philadelphia]] > < / RONAME >
    < ENTITY > <! [CDATA [2316]] > < / FEATURE >
    < MAFUNIV > <! [CDATA [15 October 08]] > < / MAFUNIV >
    < GRFCUNIV > <! [CDATA [15 October 08]] > < / GRFCUNIV >
    < GRFMFXDPC > <! [CDATA []] > < / GRFMFXDPC >
    < GRFMFXDPD > <! [CDATA []] > < / GRFMFXDPD >
    < FDCASPDPC > <! [CDATA []] > < / FDCASPDPC >
    < FDCASPDPD > <! [CDATA []] > < / FDCASPDPD >
    < / row >
    < row >
    < RONAME > <! [CDATA [Philadelphia]] > < / RONAME >
    < ENTITY > <! [CDATA [2318]] > < / FEATURE >
    < MAFUNIV > <! [CDATA [15 October 08]] > < / MAFUNIV >
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    < GRFMFXDPC > <! [CDATA []] > < / GRFMFXDPC >
    < GRFMFXDPD > <! [CDATA []] > < / GRFMFXDPD >
    < FDCASPDPC > <! [CDATA []] > < / FDCASPDPC >
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    < GRFMFXDPC > <! [CDATA []] > < / GRFMFXDPC >
    < GRFMFXDPD > <! [CDATA []] > < / GRFMFXDPD >
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    < RONAME > <! [CDATA [Philadelphia]] > < / RONAME >
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    < GRFMFXDPC > <! [CDATA []] > < / GRFMFXDPC >
    < GRFMFXDPD > <! [CDATA []] > < / GRFMFXDPD >
    < FDCASPDPC > <! [CDATA []] > < / FDCASPDPC >
    < FDCASPDPD > <! [CDATA []] > < / FDCASPDPD >
    < / row >
    < row >
    < RONAME > <! [CDATA [Philadelphia]] > < / RONAME >
    < ENTITY > <! [CDATA [2343]] > < / FEATURE >
    < MAFUNIV > <! [CDATA [16 October 08]] > < / MAFUNIV >
    < GRFCUNIV > <! [CDATA [15 October 08]] > < / GRFCUNIV >
    < GRFMFXDPC > <! [CDATA []] > < / GRFMFXDPC >
    < GRFMFXDPD > <! [CDATA []] > < / GRFMFXDPD >
    < FDCASPDPC > <! [CDATA []] > < / FDCASPDPC >
    < FDCASPDPD > <! [CDATA []] > < / FDCASPDPD >
    < / row >
    < row >
    < RONAME > <! [CDATA [Philadelphia]] > < / RONAME >
    < ENTITY > <! [CDATA [2344]] > < / FEATURE >
    < MAFUNIV > <! [CDATA [16 October 08]] > < / MAFUNIV >
    < GRFCUNIV > <! [CDATA [15 October 08]] > < / GRFCUNIV >
    < GRFMFXDPC > <! [CDATA []] > < / GRFMFXDPC >
    < GRFMFXDPD > <! [CDATA []] > < / GRFMFXDPD >
    < FDCASPDPC > <! [CDATA []] > < / FDCASPDPC >
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    http://forums.Spybot.info/forumdisplay.php?f=22,

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    Hello

    11fdb98c-D100-4baa-8eee-c00c9f7303bc wrote:

    Hello

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    2                            raj                 rajvend                      1

    3                            raj                 rajvendor1                 2

    4                            raj                 rajvendor1                 2

    5                            raj                 rajvendor1                 2

    6                            raj                 rajvendor2                 3

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    2                   4                   raj              rajvendor1                2

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    d.place

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