Re: Parallelize correlated subqueries that execute within each worker - Mailing list pgsql-hackers

From Tomas Vondra
Subject Re: Parallelize correlated subqueries that execute within each worker
Date
Msg-id 1818a285-59b9-e028-c5a8-539f715b9371@enterprisedb.com
Whole thread Raw
In response to Re: Parallelize correlated subqueries that execute within each worker  (vignesh C <vignesh21@gmail.com>)
Responses Re: Parallelize correlated subqueries that execute within each worker
List pgsql-hackers
Hi,

This patch hasn't been updated since September, and it got broken by
4a29eabd1d91c5484426bc5836e0a7143b064f5a which the incremental sort
stuff a little bit. But the breakage was rather limited, so I took a
stab at fixing it - attached is the result, hopefully correct.

I also added a couple minor comments about stuff I noticed while
rebasing and skimming the patch, I kept those in separate commits.
There's also a couple pre-existing TODOs.

James, what's your plan with this patch. Do you intend to work on it for
PG16, or are there some issues I missed in the thread?


One of the queries in in incremental_sort changed plans a little bit:

explain (costs off) select distinct
  unique1,
  (select t.unique1 from tenk1 where tenk1.unique1 = t.unique1)
from tenk1 t, generate_series(1, 1000);

switched from

 Unique  (cost=18582710.41..18747375.21 rows=10000 width=8)
   ->  Gather Merge  (cost=18582710.41..18697375.21 rows=10000000 ...)
         Workers Planned: 2
         ->  Sort  (cost=18582710.39..18593127.06 rows=4166667 ...)
               Sort Key: t.unique1, ((SubPlan 1))
             ...

to

 Unique  (cost=18582710.41..18614268.91 rows=10000 ...)
   ->  Gather Merge  (cost=18582710.41..18614168.91 rows=20000 ...)
         Workers Planned: 2
         ->  Unique  (cost=18582710.39..18613960.39 rows=10000 ...)
               ->  Sort  (cost=18582710.39..18593127.06 ...)
                     Sort Key: t.unique1, ((SubPlan 1))
                   ...

which probably makes sense, as the cost estimate decreases a bit.

-- 
Tomas Vondra
EnterpriseDB: http://www.enterprisedb.com
The Enterprise PostgreSQL Company
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