In my query table1 and table2 have about ~700000
records, table3 ~500000 records. The result set is
~10000 records. It sems to me that the bigger the
tables the bigger performance difference.

--- [EMAIL PROTECTED] wrote:
> I am curious how many rows are in each of your test
> tables. Have you tried 
> this with a few million rows in each table?
> 
> Alexei Novakov <[EMAIL PROTECTED]>
> 03/10/2004 01:22 PM
> 
>  
>         To:     [EMAIL PROTECTED]
>         cc:     (bcc: Josh Ralph/IS/Expeditors)
>         Subject:        Outer join performance hint.
> 
> 
> Hi All,
> 
> I don't really know DB which is doing fine with
> optimization of outer joins. MaxDB is not an
> exception. I think there is room for optimization
> though. Let's look at the following example:
> 
> 1)
> select t1.col1, t2.col1, t3.val
> from table1 t1, table2.t2
> left outer join table3 t3
> on t3.col1 = t1.col1 and t3.col2 = t2.col1
> where ...
> 
> This is not just slow, but it also uses a hard drive
> very extencively. Query 1 can be substituted in most
> of cases with the following:
> 
> 2)
> select t1.col1, t2.col1,
>        (select val from table3
>         where col1 = t1.col1
>         and col2 = t2.col1) as val
> from table1 t1, table2 t2
> where ...
> 
> This query looks scarier, but it works 3-5 times
> faster and doesn't cause disk acivity as the first
> one.
> 
> Generally speaking, query 1 for vast majority of
> queries can be converted into form 2. On the other
> hand query 1 provides much more ground for
> optimization to the SQL processor.
> 
> Are there any plans to work on outer join
> optimization?
> 
> Best regards.
> 
> Alexei.
> 
> 
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