remove duplicates in SQL for only specific columns and leaving one remaining row without blank address

I recently got a question answered on here that helped out a lot about removing duplicates from my SQL Server table. I now need further assistance with this same question. Please see my previous quesition and the solution here:

http://www.experts-exchange.com/Programming/Languages/SQL_Syntax/Q_22423230.html

I'd now like to specify which dupicates to remove. So if I had the below table...

id (not primary key but unique) |  name   |  email              | password        | address
1                                                    tom     tom@aol.com     tomrules            
2                                                   sue      sue@aol.com    sparkle               25 Oak st
3                                                  harry    tom@aol.com     tomrules          354 Elm st
4                                                  sally     sally@aol.com    frisky               98 Walnut St
5                                                 susan   sue@aol.com     sparkle            

I'd like to remove all duplicates above where address is blank so that the resulting table would be....

id (not primary key but unique) |  name   |  email              | password        | address
2                                                   sue      sue@aol.com    sparkle               25 Oak st
3                                                  harry    tom@aol.com     tomrules          354 Elm st
4                                                  sally     sally@aol.com    frisky               98 Walnut St

Please give me a solution that fits the format of the previously accepted answer as this wored best for me..

delete from members where id not in (select min(id) id from members group by (email+password))

Thank you very much

trevorayAsked:
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Steve DubyoCommented:
Does this do what you want..

delete from members where id not in (select min(id) id from members group by (email+password) where address is not null)
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trevorayAuthor Commented:
ok, here's a problem. I should've mentioned this in question. Most importantly, I need to get rid of duplicates. Sometimes there will be duplicates where address field is filled out for both. And sometimes there will be duplicates where only one address field is filled out. I need the one with address field filled out to stay. But if both duplicates have an address field, or if both have no address field, I still need one of the duplicates remove. The above code looks like it will only remove a duplicate if one of the address fields is blank. Can you help provide code that will remove duplicates (email/password) in this fashion?

Thanks
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trevorayAuthor Commented:
what about this, does anyone think this would work?...

delete from members where id not in (select top 1 id from members group by (email+password) ORDER BY address)

that would put the NULL address up top and it would only select first row. I think this might work.
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trevorayAuthor Commented:
No, that doesn't work because I can't order by a column that I'm not selecting in returned results. And I'm only allowed to select ID when I do "NOT IN"

Can anyone help?

tks
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Steve DubyoCommented:
Ye that is a bit more in depth!  I got curious tho and gave it a go, recreated the table and got this working...

It looks allot but what it is doing is deleting from the members table where the id doesnt equal one of three rules:
1, Is a unique combination of email & pwd
2, Is the min(id) where email+pwd not unique but has an address
3, Is the min(id) where email+pwd not unique, hasn't got an address but isn't in rule 2

delete
from members
where id not in
      (
      select i
      from
            (
            select (email+password) e, min(id) i, count(id) c
            from members
            group by (email+password)
            ) s
      where c = 1
      union
      select  min(i) i
      from
            (
            select (email+password) e, id i
            from members a
            join
                  (
                  select count(m.id) c, (m.email+m.password) e
                  from members m
                  join
                        (
                        select count(id) c , (email+password) e
                        from members
                        group by (email+password)
                        ) t
                  on (m.email+m.password) = t.e
                  where c > 1  
                  group by (m.email+m.password)
                  ) d
            on (a.email+a.password) = e
            where address is null
            ) n
      where e not in
            (
                  select (email+password) e
                  from members a
                  join
                        (
                        select count(m.id) c, (m.email+m.password) e
                        from members m
                        join
                              (
                              select count(id) c , (email+password) e
                              from members
                              group by (email+password)
                              ) t
                        on (m.email+m.password) = t.e
                        where c > 1  
                        group by (m.email+m.password)
                        ) d
                  on (a.email+a.password) = e
                  where address is  not null
                  group by (email+password)
            )
      group by e
      union
      select  min(id) i
      from members a
      join
            (
            select count(m.id) c, (m.email+m.password) e
            from members m
            join
                  (
                  select count(id) c , (email+password) e
                  from members
                  group by (email+password)
                  ) t
            on (m.email+m.password) = t.e
            where c > 1  
            group by (m.email+m.password)
            ) d
      on (a.email+a.password) = e
      where address is  not null
      group by (email+password)
      )

I'm using sql server btw incase the syntax differs, what r u using?
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trevorayAuthor Commented:
i'm using SQL Server. Thanks!
0
Steve DubyoCommented:
No problem !
0
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