Обсуждение: Avoid parallel full and right join paths.

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Avoid parallel full and right join paths.

От
Mithun Cy
Дата:
Tests:
create table mytab(x int,x1 char(9),x2 varchar(9));
create table mytab1(y int,y1 char(9),y2 varchar(9));
insert into mytab values (generate_series(1,50000),'aa','aaa');
insert into mytab1 values (generate_series(1,10000),'aa','aaa');
insert into mytab values (generate_series(1,500000),'aa','aaa');
insert into mytab values (generate_series(1,500000),'aa','aaa');
analyze mytab;
analyze mytab1;
vacuum mytab;
vacuum mytab1;

set max_parallel_degree=0;
SET
df=# SELECT count(*) FROM mytab RIGHT OUTER JOIN mytab1
ON mytab.x = mytab1.y;
count
-------
30000
(1 row)

# set max_parallel_degree=5;
SET
df=# SELECT count(*) FROM mytab RIGHT OUTER JOIN mytab1
ON mytab.x = mytab1.y;
count
-------
39089
(1 row)

Casue:
======
Normal plan
==========
explain SELECT count(*) FROM mytab RIGHT OUTER JOIN mytab1
ON mytab.x = mytab1.y;postgres-#
QUERY PLAN
------------------------------------------------------------------------------
Aggregate (cost=21682.71..21682.72 rows=1 width=8)
-> Hash Right Join (cost=289.00..21629.07 rows=21457 width=0)
Hash Cond: (mytab.x = mytab1.y)
-> Seq Scan on mytab (cost=0.00..17188.00 rows=1050000 width=4)
-> Hash (cost=164.00..164.00 rows=10000 width=4)
-> Seq Scan on mytab1 (cost=0.00..164.00 rows=10000 width=4) 
=================================================================

Parallel plan.
==========
explain SELECT count(*) FROM mytab RIGHT OUTER JOIN mytab1
ON mytab.x = mytab1.y;postgres-#
QUERY PLAN
-----------------------------------------------------------------------------------------------
Finalize Aggregate (cost=14135.88..14135.89 rows=1 width=8)
-> Gather (cost=14135.67..14135.88 rows=2 width=8)
Number of Workers: 2
-> Partial Aggregate (cost=13135.67..13135.68 rows=1 width=8)
-> Hash Right Join (cost=289.00..13082.02 rows=21457 width=0)
Hash Cond: (mytab.x = mytab1.y)
-> Parallel Seq Scan on mytab (cost=0.00..11063.00 rows=437500 width=4)
-> Hash (cost=164.00..164.00 rows=10000 width=4)
-> Seq Scan on mytab1 (cost=0.00..164.00 rows=10000 width=4)


As above Right and Full join paths cannot be parallel as they can produce false null extended rows because outer table is partial path and not completely visible.
Adding a patch to fix same.

--
Thanks and Regards
Mithun C Y

Вложения

Re: Avoid parallel full and right join paths.

От
Robert Haas
Дата:
On Tue, Apr 19, 2016 at 10:21 AM, Mithun Cy <mithun.cy@enterprisedb.com> wrote:
> Tests:
> create table mytab(x int,x1 char(9),x2 varchar(9));
> create table mytab1(y int,y1 char(9),y2 varchar(9));
> insert into mytab values (generate_series(1,50000),'aa','aaa');
> insert into mytab1 values (generate_series(1,10000),'aa','aaa');
> insert into mytab values (generate_series(1,500000),'aa','aaa');
> insert into mytab values (generate_series(1,500000),'aa','aaa');
> analyze mytab;
> analyze mytab1;
> vacuum mytab;
> vacuum mytab1;
>
> set max_parallel_degree=0;
> SET
> df=# SELECT count(*) FROM mytab RIGHT OUTER JOIN mytab1
> ON mytab.x = mytab1.y;
> count
> -------
> 30000
> (1 row)
>
> # set max_parallel_degree=5;
> SET
> df=# SELECT count(*) FROM mytab RIGHT OUTER JOIN mytab1
> ON mytab.x = mytab1.y;
> count
> -------
> 39089
> (1 row)
>
> Casue:
> ======
> Normal plan
> ==========
> explain SELECT count(*) FROM mytab RIGHT OUTER JOIN mytab1
> ON mytab.x = mytab1.y;postgres-#
> QUERY PLAN
> ------------------------------------------------------------------------------
> Aggregate (cost=21682.71..21682.72 rows=1 width=8)
> -> Hash Right Join (cost=289.00..21629.07 rows=21457 width=0)
> Hash Cond: (mytab.x = mytab1.y)
> -> Seq Scan on mytab (cost=0.00..17188.00 rows=1050000 width=4)
> -> Hash (cost=164.00..164.00 rows=10000 width=4)
> -> Seq Scan on mytab1 (cost=0.00..164.00 rows=10000 width=4)
> =================================================================
>
> Parallel plan.
> ==========
> explain SELECT count(*) FROM mytab RIGHT OUTER JOIN mytab1
> ON mytab.x = mytab1.y;postgres-#
> QUERY PLAN
> -----------------------------------------------------------------------------------------------
> Finalize Aggregate (cost=14135.88..14135.89 rows=1 width=8)
> -> Gather (cost=14135.67..14135.88 rows=2 width=8)
> Number of Workers: 2
> -> Partial Aggregate (cost=13135.67..13135.68 rows=1 width=8)
> -> Hash Right Join (cost=289.00..13082.02 rows=21457 width=0)
> Hash Cond: (mytab.x = mytab1.y)
> -> Parallel Seq Scan on mytab (cost=0.00..11063.00 rows=437500 width=4)
> -> Hash (cost=164.00..164.00 rows=10000 width=4)
> -> Seq Scan on mytab1 (cost=0.00..164.00 rows=10000 width=4)
>
>
> As above Right and Full join paths cannot be parallel as they can produce
> false null extended rows because outer table is partial path and not
> completely visible.
> Adding a patch to fix same.

Committed.  But I think the regression test needs more thought, so I
left that out.

-- 
Robert Haas
EnterpriseDB: http://www.enterprisedb.com
The Enterprise PostgreSQL Company



Re: Avoid parallel full and right join paths.

От
Peter Geoghegan
Дата:
On Wed, Apr 20, 2016 at 2:49 PM, Robert Haas <robertmhaas@gmail.com> wrote:
> Committed.  But I think the regression test needs more thought, so I
> left that out.

It would be nice if there was a fuzz testing infrastructure that
verified that parallel plans produce the same answer as serial plans.

-- 
Peter Geoghegan



Re: Avoid parallel full and right join paths.

От
Michael Paquier
Дата:
On Thu, Apr 21, 2016 at 7:13 AM, Peter Geoghegan <pg@heroku.com> wrote:
> On Wed, Apr 20, 2016 at 2:49 PM, Robert Haas <robertmhaas@gmail.com> wrote:
>> Committed.  But I think the regression test needs more thought, so I
>> left that out.
>
> It would be nice if there was a fuzz testing infrastructure that
> verified that parallel plans produce the same answer as serial plans.

Results of parallel plans and serial plans could be stored in
temporary tables in the test, then that's a matter of comparing them I
guess. That's largely doable.
-- 
Michael



Re: Avoid parallel full and right join paths.

От
Alvaro Herrera
Дата:
Michael Paquier wrote:
> On Thu, Apr 21, 2016 at 7:13 AM, Peter Geoghegan <pg@heroku.com> wrote:
> > On Wed, Apr 20, 2016 at 2:49 PM, Robert Haas <robertmhaas@gmail.com> wrote:
> >> Committed.  But I think the regression test needs more thought, so I
> >> left that out.
> >
> > It would be nice if there was a fuzz testing infrastructure that
> > verified that parallel plans produce the same answer as serial plans.
> 
> Results of parallel plans and serial plans could be stored in
> temporary tables in the test, then that's a matter of comparing them I
> guess. That's largely doable.

The brin.sql test does that ...

-- 
Álvaro Herrera                http://www.2ndQuadrant.com/
PostgreSQL Development, 24x7 Support, Remote DBA, Training & Services



Re: Avoid parallel full and right join paths.

От
Peter Geoghegan
Дата:
On Wed, Apr 20, 2016 at 6:43 PM, Alvaro Herrera
<alvherre@2ndquadrant.com> wrote:
> The brin.sql test does that ...

I actually copied brin.sql when creating regression tests for external
sorting, primarily because I wanted to test a variety of collations,
without having any control of what they happen to be on the target.
Those went into amcheck's regression tests, and so have yet to be
committed.

I think that your approach there has plenty to recommend it, at least
where requirements are more complicated.

-- 
Peter Geoghegan