postgres/contrib/postgres_fdw
David Rowley d69d45a5a9 Speedup child EquivalenceMember lookup in planner
When planning queries to partitioned tables, we clone all
EquivalenceMembers belonging to the partitioned table into em_is_child
EquivalenceMembers for each non-pruned partition.  For partitioned tables
with large numbers of partitions, this meant the ec_members list could
become large and code searching that list would become slow.  Effectively,
the more partitions which were present, the more searches needed to be
performed for operations such as find_ec_member_matching_expr() during
create_plan() and the more partitions present, the longer these searches
would take, i.e., a quadratic slowdown.

To fix this, here we adjust how we store EquivalenceMembers for
em_is_child members.  Instead of storing these directly in ec_members,
these are now stored in a new array of Lists in the EquivalenceClass,
which is indexed by the relid.  When we want to find EquivalenceMembers
belonging to a certain child relation, we can narrow the search to the
array element for that relation.

To make EquivalenceMember lookup easier and to reduce the amount of code
change, this commit provides a pair of functions to allow iteration over
the EquivalenceMembers of an EC which also handles finding the child
members, if required.  Callers that never need to look at child members
can remain using the foreach loop over ec_members, which will now often
be faster due to only parent-level members being stored there.

The actual performance increases here are highly dependent on the number
of partitions and the query being planned.  Performance increases can be
visible with as few as 8 partitions, but the speedup is marginal for
such low numbers of partitions.  The speedups become much more visible
with a few dozen to hundreds of partitions.  With some tested queries
using 56 partitions, the planner was around 3x faster than before.  For
use cases with thousands of partitions, these are likely to become
significantly faster.  Some testing has shown planner speedups of 60x or
more with 8192 partitions.

Author: Yuya Watari <watari.yuya@gmail.com>
Co-authored-by: David Rowley <dgrowleyml@gmail.com>
Reviewed-by: David Rowley <dgrowleyml@gmail.com>
Reviewed-by: Tom Lane <tgl@sss.pgh.pa.us>
Reviewed-by: Andrey Lepikhov <a.lepikhov@postgrespro.ru>
Reviewed-by: Alena Rybakina <lena.ribackina@yandex.ru>
Reviewed-by: Dmitry Dolgov <9erthalion6@gmail.com>
Reviewed-by: Amit Langote <amitlangote09@gmail.com>
Reviewed-by: Ashutosh Bapat <ashutosh.bapat.oss@gmail.com>
Tested-by: Thom Brown <thom@linux.com>
Tested-by: newtglobal postgresql_contributors <postgresql_contributors@newtglobalcorp.com>
Discussion: https://postgr.es/m/CAJ2pMkZNCgoUKSE%2B_5LthD%2BKbXKvq6h2hQN8Esxpxd%2Bcxmgomg%40mail.gmail.com
2025-04-08 18:09:57 +12:00
..
expected postgres_fdw: Avoid pulling up restrict infos from subqueries 2025-03-25 05:49:47 +02:00
sql postgres_fdw: Avoid pulling up restrict infos from subqueries 2025-03-25 05:49:47 +02:00
t postgres_fdw: Fix tests on some Windows variants 2025-03-26 07:00:00 +01:00
.gitignore
connection.c postgres_fdw: improve security checks 2025-03-24 15:56:53 +01:00
deparse.c Convert PathKey to use CompareType 2025-04-04 11:22:20 +02:00
Makefile postgres_fdw: SCRAM authentication pass-through 2025-01-15 17:58:05 +01:00
meson.build postgres_fdw: SCRAM authentication pass-through 2025-01-15 17:58:05 +01:00
option.c postgres_fdw: SCRAM authentication pass-through 2025-01-15 17:58:05 +01:00
postgres_fdw--1.1--1.2.sql postgres_fdw: Extend postgres_fdw_get_connections to return remote backend PID. 2025-03-03 08:51:30 +09:00
postgres_fdw--1.0--1.1.sql postgres_fdw: Add functions to discard cached connections. 2021-01-26 15:35:54 +09:00
postgres_fdw--1.0.sql
postgres_fdw.c Speedup child EquivalenceMember lookup in planner 2025-04-08 18:09:57 +12:00
postgres_fdw.control postgres_fdw: Add "used_in_xact" column to postgres_fdw_get_connections(). 2024-07-26 22:15:51 +09:00
postgres_fdw.h Update copyright for 2025 2025-01-01 11:21:55 -05:00
shippable.c Update copyright for 2025 2025-01-01 11:21:55 -05:00