Hi!
Price list of main products vordlusajuhinnak contains 3 prices for
product (column toode) and has 39433 products:
create table vordlusajuhinnak( toode varchar(60), n2 numeric(8,2),
n3 numeric(8,2), n4 numeric(8,2) );
toode column in unique, may be primary key in table and contains upper
case letters, digits and - characters.
product table (toode) contains 733021 products:
CREATE TABLE toode (
grupp character(1),
toode character(60) primary key,
... lot of other columns
);
Both tables have pattern indexes to speed up queries:
CREATE INDEX toode_toode_pattern_idx
ON toode (toode bpchar_pattern_ops ASC NULLS LAST);
-- This index is probably not used, should removed:
CREATE INDEX vordlusajuhinnak_toode_pattern_idx ON
vordlusajuhinnak(toode bpchar_pattern_ops);
Product table as both main products and subproducts with sizes. Size is
separated by main product code always by / character:
SHOE1-BLACK
SHOE1-BLACK/38
SHOE1-BLACK/41
SHOE1-BLACK/42
SHOE1-BLACK/43
SHOE2/XXL
SHOE2/L
Product codes contain upper characers only in this table also.
Trying to get prices for all products using
create table peatoode as
select toode.toode , n2, n3, n4
from toode, vordlusajuhinnak
where toode.toode between vordlusajuhinnak.toode and
vordlusajuhinnak.toode||'/z'
Takes 4.65 hours. How to speed this query up?
Output from explain:
> "Nested Loop (cost=0.55..272273178.12 rows=3202240012 width=78)" "
> -> Seq Scan on vordlusajuhinnak (cost=0.00..721.33 rows=39433
width=32)" " -> Index Only Scan using toode_pkey on toode
> (cost=0.55..6092.62 rows=81207 width=60)" " Index Cond: (toode
> >= (vordlusajuhinnak.toode)::bpchar)" " Filter:
((toode)::text <= ((vordlusajuhinnak.toode)::text || '/z'::text))"
Using PostgreSQL 13.2, compiled by Visual C++ build 1900, 64-bit in
Windows server and psqlODBC driver.
Upgrading Postgres is possible, if this helps.
Tried also using like:
WHERE toode.toode=vordlusajuhinnak.toode OR
toode.toode LIKE vordlusajuhinnak.toode||'/%'
Posted also in
https://stackoverflow.com/questions/76311957/how-to-match-character-columns-with-separated-subcolumns
Andrus.