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  1. #1
    RayMilhon is offline VIP
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    Duplication even with Group by

    I have a query similar to



    Select a.name, b.appt_date,c.provider
    from dbo.patient a inner join dbo.appointments b on a.memberid = b.memberid
    inner join dbo.providers c on b.providerid = c.providerid
    where b.appt_date between '03/01/2019' and '02/29/2020'
    and b.status = 'Missed'
    Group by a.name, b.appt_date, c.provider


    In the results I'm getting what I asked for but I'm also getting something like this

    a.name b.appt_date c.provider
    John smith 01/03/2020 Dr Jones
    John Smith 01/03/2020 Dr Jones


    What I'm finding is that in the appointments table There may be multiple records for John Smith for that Appointment date with that provider but the Appt_id may be different. Probably someone entered the same appointment twice. I would think that would not be allowed as this is a commercial Application but that's what I'm finding. The question is since Appt_ID is not part of my query why aren't those records grouped into 1 Record?

  2. #2
    Ajax is offline VIP
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    where is the data coming from? Access? SQL Server? I suspect the latter since a) your from clause wont work in access and b) access is not case sensitive whereas sql server is - and your example result shows a difference in case on the name.

  3. #3
    pbaldy's Avatar
    pbaldy is online now Who is John Galt?
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    Also make sure there's not a time component in your date values.
    Paul (wino moderator)
    MS Access MVP 2007-2019
    www.BaldyWeb.com

  4. #4
    RayMilhon is offline VIP
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    The query is in access. The data is on 2 separate SQLServers. There is not the time is in another field called appt_time. I wondered if that could be a cause but I'm not using the time field in my query. Per the users instructions.

  5. #5
    Ajax is offline VIP
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    re the time field, you can test the hypothesis by in your query changing the format property to general date.

    Otherwise, back to my suggestion - is the query a passthrough query or 'normal' one one working on linked access tables? I suspect the former

  6. #6
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    What about:
    Code:
    ;WITH UniqueApp AS
    (SELECT DISTINCT appt_date, memberid, status FROM dbo.Appointments WHERE appt_date between '03/01/2019' and '02/29/2020 AND status= 'Missed')
    SELECT a.name, b.appt_date,c.provider
    from dbo.patient a inner join UniqueApp b on a.memberid = b.memberid
    inner join dbo.providers c on b.providerid = c.providerid
    Group by a.name, b.appt_date, c.provider
    
    Of-course there remains the question, what about case where from 2 entries for appointments on same day one is set 'Missed', and another not! When there is no way to have 2 appointments on same day, then I advice to set an unique index for table Appointments composed from fields appt_date and memberid. Otherwise at least let entry form to check for double entry, and when found, then give a warning (and both entries must be then visible in entry form). Or - e.g. in case you can't edit SQL database - you periodically run a query, which returns a list of multiple entries, and you somehow handle this in SQL database (manually deleting abundant entries, or running a delete query based on data you get from 1st one).

  7. #7
    RayMilhon is offline VIP
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    It is a normal one using linked SQL Server Tables

  8. #8
    RayMilhon is offline VIP
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    The SQL I posted was a sample not the complete query the Database is a Commercial Database and due to company policy I cannot post the actual query. What I posted was just a sample based on the request. It unheard of for a Patient to have 2 separate Appointments with Doctor's in our clinic. We only have PCP's in our clinic. That's why the time is irrelevant for this query

  9. #9
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    How complex the final query is is moot unless you are at limits for perfomance.

    With clause creates a subquery which is run at start. You use the recordset returned by this subquery like any regular table. As I moved all WHERE clauses for appointments table into subquery, then returned recordset is limited only to essential records - i.e. it is minimized.

    Of course, WITH clause doesn't exist in MS Access, so you have to use pass-through query to use it. In Access, you can use instead the syntax like
    Code:
    SELECT a.name, b.appt_date,c.provider
    from dbo.patient a inner join (SELECT DISTINCT b0.appt_date, b0.memberid, b0.status FROM dbo.Appointments b0 WHERE b0.appt_date between '03/01/2019' and '02/29/2020 AND b0.status= 'Missed') b on a.memberid = b.memberid
    inner join dbo.providers c on b.providerid = c.providerid 
    Group by a.name, b.appt_date, c.provider
    , but I'm afraid this will be slower (optimizing complex queries is not a strong point for MS Office).

  10. #10
    RayMilhon is offline VIP
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    This is solved. Found the problem. There was one field that caused the duplicates. Took some time but I went through the data and removed any field that had no data in the results. Even though they specifically requested those fields. Did it one at a time so if it wasn't a problem I could put it back immediately I found 1 field that sometimes was blank and sometimes was null. After removing that field all of the duplicates were eliminated. Thanks for all your help.

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