April 28, 2013 at 11:14 pm
create table main(fileNo Integer)
insert into main values(1)
insert into main values(2)
insert into main values(3)
insert into main values(4)
insert into main values(5)
insert into main values(6)
create table doc(fileNo Integer, code char(1))
insert into doc values(1,'I')
insert into doc values(1,'A')
insert into doc values(2,'A')
insert into doc values(3,'I')
insert into doc values(3,'A')
insert into doc values(6,'A')
select main.fileNo from main
where fileno not in(select fileno from doc where code='I')
I need records for which no corresponding record found in Doc Table with Code = 'I'
so output here is:
2
4
5
6
is there any better way to do the same?
thanks
April 29, 2013 at 12:23 am
Hi surindersinghthakur,
insert into doc values(1,'A')
insert into doc values(3,'A')
the above records was not match with Code='I' in doc table right .but you are not displaying in query output result.those records you don't want or you want along with.
--chalam
April 29, 2013 at 12:27 am
I need only records from MAIN table for which it did not find respective record in DOC table with CODE = 'I'
I re-wrote same query like below:
select main.fileNo from main
left join doc on main.fileno = doc.fileno and doc.code = 'I'
where doc.code is null
but not sure if there is any best way of doing it.
Thanks
April 29, 2013 at 8:51 am
One more way to do this..
SELECT*
FROMmain AS m
WHERE NOT EXISTS( SELECT * FROM doc AS d WHERE m.fileno = d.fileno AND d.code = 'I' )
We can't say that one method is definitely better than the other
You can test all these options in your testing/development environment and see which gives the correct output and also performs well
How to post data/code on a forum to get the best help - Jeff Moden
http://www.sqlservercentral.com/articles/Best+Practices/61537/
April 29, 2013 at 8:53 am
http://sqlinthewild.co.za/index.php/2010/02/18/not-exists-vs-not-in/
http://sqlinthewild.co.za/index.php/2010/03/23/left-outer-join-vs-not-exists/
Gail Shaw
Microsoft Certified Master: SQL Server, MVP, M.Sc (Comp Sci)
SQL In The Wild: Discussions on DB performance with occasional diversions into recoverability
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