Workflow appearing twice in SQL

I recently checked up on
workflow performance after an extended parental leave and found that one of the workflows appeared twice in the DB.
The functioning workflow had a watermark being just one or two transactions behind, but the other was behind by what I guess is the time I implemented the workflow (which means several months by now). Both workflows have the same exact ruleid. Funny
thing is the RuleLastModified is only off by around 100 milliseconds.
The stuck workflow has no Relationship type ID nor a Related type ID.
Not sure where to go from here in order to remove this errornous subscription state (except deleting the errornous row).
http://codebeaver.blogspot.dk/

Hi
Not very much sure what are you referring to here.
But based upon the partner function procedure assigned to transaction type you get the list of partner in the ticket
so if you have z transaction type with all partners so you are getting the entire set of partner including z and standard
so decide as per requirement which one you want and then enhance the z partner profile and further assign it to custom transaction type
regards
prakhar

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    Dear Hussein:
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    Can you find any error/warning messages in the workflow log file?--Where is the workflow log file ?
    >
    Do you use AME?-- what is AME?
    >
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      ----------------------------------------   Waited  ----------  ------------
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      SQL*Net message from client                     1        0.00          0.00
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    Parse        1      0.00       0.00          0          0          0           0
    Execute      1      0.00       0.00          0          0          0           0
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    I have tried in several ways to display a query where shows customer who have made more than 3 rentals from 01Nov to 31 Dec. However, for some reason the customerID column appear twice.
    ** I'm using 3 tables to get this result:
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    count(RentalAgreement.membershipcardid) as "NOfRents" from RentalAgreement,customer,membershipcard,invoice
    where rentalAgreement.membershipcardid=MembershipCard.MembershipCardID
    and customer.customerid = membershipcard.customerid
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    customerid,customer.cname,customer.address,invoice.rentc,customer.customerid,RentalAgreement.DateAndTimeOfIssue;
    MCardID CUSTOMERID CNAME ADDRES CUSTOMERID RENTC DATEANDTI
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    107 27 EDuois N151AS 27 60 11-NOV-12
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    108 28 WDuois N151AS 28 60 19-NOV-12
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    MCardID CUSTOMERID CNAME ADDRES CUSTOMERID RENTC DATEANDTI
    NOfRents
    101 22 ALuois N193AS 22 60 21-NOV-12
    5
    101 22 ALuois N193AS 22 60 20-NOV-12
    5
    101 22 ALuois N193AS 22 60 24-NOV-12
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    MCardID CUSTOMERID CNAME ADDRES CUSTOMERID RENTC DATEANDTI
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    Hi,
    978308 wrote:
    Hi
    Thank you for your answer. (I'm suing Oracle you're using (e.g. 11.2.0.1.0).
    sorry my question it wasnt not clear since I didn't attached my tables .
    As you suggested It is not necessary to use plsql, I tried to use the logic of algebra and old sql to solve query number 2: /* query No2
    produce a list of customers who have made more than three scotter rentals in the past 2 months
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    /* query No2
    produce a list of customers who have made more than three scotter rentals in the past 2 months
    show appropiate customer and rental agreement details*/Once again, please format your code, and use \ tags when you post it here to preserve the spacing.  It's hard to read informatted queries like this, and therefore it's hard to debug them.
    See the forum FAQ {message:id=9360002}
    select RentalAgreement.membershipcardid as "MemberID",
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    customer.address,
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    RentalAgreement.DateAndTimeOfIssue,
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    count(RentalAgreement.membershipcardid) as "NumberOfRent"
    from RentalAgreement,customer,membershipcard
    where rentalAgreement.membershipcardid=MembershipCard.MembershipCardID
    and customer.customerid = membershipcard.customerid
    and RentalAgreement.DateAndTimeOfIssue between '01-Nov-2012' and '31-Dec-2012'Once again, don't compare a DATE (such as RentalAgreement.DateAndTimeOfIssue) to a VARCHAR2 (such as '01-Nov-2012').  You're using TO_DATE correctly in your INSERT statements; use TO_DATE in the query, too.
    group by rentalAgreement.membershipcardid,
    MembershipCard.customerid,
    customer.cname,customer.address,
    RentalAgreement.EScotterID,
    customer.customerid,
    RentalAgreement.DateAndTimeOfIssue;"GROUP BY a, b, c, d" means that each row of output will represent a distinct combination of columns a, b, c and d, and aggregate functions will operate on the whole group.  In the query above, that means count(RentalAgreement.membershipcardid) will show the number of rows that had a value for membershipcardid for each combination of the 6 columns listed in the GROUP BY clause, including custiomerid and dateandtimeofissue.  That means that rentals for each customer *and date* will be counted separately.  Look at the output you're getting from query 2:Member CUSTOMER CUSTOMER DATEANDTIME ESCOTTER Number
    ID ID CNAME ADDRES ID OFISSUE ID OfRent
    102 23 BLuois N113AS 23 11-Nov-2012 1 1
    101 22 ALuois N193AS 22 21-Nov-2012 1 1
    101 22 ALuois N193AS 22 24-Nov-2012 5 1
    101 22 ALuois N193AS 22 20-Nov-2012 2 1
    101 22 ALuois N193AS 22 22-Nov-2012 4 1
    101 22 ALuois N193AS 22 19-Nov-2012 2 1
    The count is always 1.  That is, customer 22 did have 5 rentals, but only 1 rental per day.
    You haven't posted the results you want from the same data.  I'm guessing you want something like this:Member CUSTOMER DATEANDTIME ESCOTTER Number
    ID ID CNAME ADDRES OFISSUE ID OfRent
    101 22 ALuois N193AS 19-Nov-2012 2 5
    101 22 ALuois N193AS 20-Nov-2012 2 5
    101 22 ALuois N193AS 21-Nov-2012 1 5
    101 22 ALuois N193AS 22-Nov-2012 4 5
    101 22 ALuois N193AS 24-Nov-2012 5 5
    showing that that customer 22 had 5 rentals in the period of interest.  That is, you *do* want to combine all rows for a customer when COUNTing, but you *don't* want to combine the rows when displaying.  The aggregate GROUP BY combines the rows, so how can you still get the details (such as date and scooter ID) for each separate rental?  One way is to do a GROUP BY just to get the customerid and COUNT, and use that in an IN subquery (or maybe a join), where the main query does not use GROUP BY.
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    FROM     scott.dept
    WHERE     deptno     IN (
              SELECT deptno
              FROM      scott.emp
              WHERE      job     = 'CLERK'
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              HAVING     COUNT (*)     > 1
    Output:DEPTNO DNAME LOC
    20 RESEARCH DALLAS
    Another, com pletely different way would be to use the analytic COUNT function, not the aggregate 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                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        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