Re: Parallel plans and "union all" subquery - Mailing list pgsql-hackers

From Greg Nancarrow
Subject Re: Parallel plans and "union all" subquery
Date
Msg-id CAJcOf-e4oqXuk=_85ATTLAu2H==-VKzPQO6ds_p9qU1bLv-z4w@mail.gmail.com
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In response to Re: Parallel plans and "union all" subquery  (Luc Vlaming <luc@swarm64.com>)
Responses Re: Parallel plans and "union all" subquery  (Luc Vlaming <luc@swarm64.com>)
List pgsql-hackers
On Tue, Nov 24, 2020 at 2:34 AM Luc Vlaming <luc@swarm64.com> wrote:
>
> Hi,
>
> For this problem there is a patch I created, which is registered under
> https://commitfest.postgresql.org/30/2787/ that should fix this without
> any workarounds. Maybe someone can take a look at it?
>

I tried your patch with the latest PG source code (24/11), but
unfortunately a non-parallel plan was still produced in this case.

test=# explain
select count(*)
from (select
n1
from drop_me
union all
values(1)) ua;
                                   QUERY PLAN
--------------------------------------------------------------------------------
 Aggregate  (cost=1889383.54..1889383.55 rows=1 width=8)
   ->  Append  (cost=0.00..1362834.03 rows=42123961 width=32)
         ->  Seq Scan on drop_me  (cost=0.00..730974.60 rows=42123960 width=32)
         ->  Subquery Scan on "*SELECT* 2"  (cost=0.00..0.02 rows=1 width=32)
               ->  Result  (cost=0.00..0.01 rows=1 width=4)
(5 rows)


That's not to say your patch doesn't have merit - but maybe just not a
fix for this particular case.

As before, if the SQL is tweaked to align the types for the UNION, you
get a parallel plan:

test=# explain
select count(*)
from (select
n1
from drop_me
union all
values(1::numeric)) ua;
                                             QUERY PLAN
----------------------------------------------------------------------------------------------------
 Finalize Aggregate  (cost=821152.71..821152.72 rows=1 width=8)
   ->  Gather  (cost=821152.50..821152.71 rows=2 width=8)
         Workers Planned: 2
         ->  Partial Aggregate  (cost=820152.50..820152.51 rows=1 width=8)
               ->  Parallel Append  (cost=0.00..747235.71 rows=29166714 width=0)
                     ->  Result  (cost=0.00..0.01 rows=1 width=0)
                     ->  Parallel Seq Scan on drop_me
(cost=0.00..601402.13 rows=29166713 width=0)
(7 rows)


Regards,
Greg Nancarrow
Fujitsu Australia



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