Sorry for the late reply, so I included the whole thread. Should this be

On Wed, Dec 15, 2004 at 08:30:08PM -0500, Tom Lane wrote:
> Greg Stark <[EMAIL PROTECTED]> writes:
> > But I'm a bit puzzled. Why would Append have any significant cost? It's just
> > taking the tuples from one plan node and returning them until they run out,
> > then taking the tuples from another plan node. It should have no i/o cost 
> > and
> > hardly any cpu cost. Where is the time going?
> As best I can tell by profiling, the cost of the Append node per se is
> indeed negligible --- no more than a couple percent of the runtime in
> CVS tip for a test case similar to Stacy White's example.
> It looks bad in EXPLAIN ANALYZE, but you have to realize that passing
> the tuples up through the Append node doubles the instrumentation
> overhead of EXPLAIN ANALYZE, which is pretty sizable already.  (If you
> turn on \timing in psql and try the query itself vs. EXPLAIN ANALYZE,
> the actual elapsed time is about double, at least for me.)
> The other effect, which I hadn't expected, is that the seqscans
> themselves actually slow down.  I get
> regression=# explain analyze SELECT COUNT(*), MAX(bar1) FROM super_foo ;
>                                                                QUERY PLAN
> ----------------------------------------------------------------------------------------------------------------------------------------
>  Aggregate  (cost=16414.32..16414.32 rows=1 width=4) (actual 
> time=32313.980..32313.988 rows=1 loops=1)
>    ->  Append  (cost=0.00..13631.54 rows=556555 width=4) (actual 
> time=0.232..21848.401 rows=524289 loops=1)
>          ->  Seq Scan on super_foo  (cost=0.00..0.00 rows=1 width=4) (actual 
> time=0.020..0.020 rows=0 loops=1)
>          ->  Seq Scan on sub_foo1 super_foo  (cost=0.00..6815.77 rows=278277 
> width=4) (actual time=0.187..6926.395 rows=262144 loops=1)
>          ->  Seq Scan on sub_foo2 super_foo  (cost=0.00..6815.77 rows=278277 
> width=4) (actual time=0.168..7026.953 rows=262145 loops=1)
>  Total runtime: 32314.993 ms
> (6 rows)
> regression=# explain analyze SELECT COUNT(*), MAX(bar1) FROM sub_foo1;
>                                                        QUERY PLAN
> ------------------------------------------------------------------------------------------------------------------------
>  Aggregate  (cost=8207.16..8207.16 rows=1 width=4) (actual 
> time=9850.420..9850.428 rows=1 loops=1)
>    ->  Seq Scan on sub_foo1  (cost=0.00..6815.77 rows=278277 width=4) (actual 
> time=0.202..4642.401 rows=262144 loops=1)
>  Total runtime: 9851.423 ms
> (3 rows)
> Notice the actual times for the sub_foo1 seqscans.  That increase (when
> counted for both input tables) almost exactly accounts for the
> difference in non-EXPLAIN ANALYZE runtime.
> After digging around, I find that the reason for the difference is that
> the optimization to avoid a projection step (ExecProject) isn't applied
> for scans of inheritance unions:
>       /*
>        * Can't do it with inheritance cases either (mainly because Append
>        * doesn't project).
>        */
>       if (rel->reloptkind != RELOPT_BASEREL)
>               return false;
> So if you were to try the example in a pre-7.4 PG, which didn't have
> that optimization, you'd probably find that the speeds were just about
> the same.  (I'm too lazy to verify this though.)
> I looked briefly at what it would take to cover this case, and decided
> that it's a nontrivial change, so it's too late to do something about it
> for 8.0.  I think it's probably possible to fix it though, at least for
> cases where the child tables have rowtypes identical to the parent.
>                       regards, tom lane
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Jim C. Nasby, Database Consultant               [EMAIL PROTECTED] 
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