Thank you Vyacheslav.
your "bit or street magic" worked and now I have Execution Plans for both queries: from function and simple SQL.
I'm not good in reading and interpreting these please advice witch part should I put my attention to?
FUNCTION:
"Unique (cost=290.13..290.15 rows=1 width=132) (actual time=1834.211..1834.222 rows=2 loops=1)"
" -> Sort (cost=290.13..290.14 rows=1 width=132) (actual time=1834.207..1834.209 rows=2 loops=1)"
" Sort Key: filter_b_preke_matoma.prek_pavadinimas, filter_b_preke_matoma.prek_id, b_kainorascio_sudetis.ks_kaina, b_mato_vienetai.mvnt_trumpinys"
" Sort Method: quicksort Memory: 17kB"
" -> Nested Loop Left Join (cost=1.03..290.12 rows=1 width=132) (actual time=374.851..1834.169 rows=2 loops=1)"
" Join Filter: (b_grupes_prekes.gp_grupe = b_grupe.grup_id)"
" Filter: ((b_grupe.grup_id = $1) OR ($1 IS NULL))"
" -> Nested Loop Left Join (cost=1.03..288.07 rows=1 width=136) (actual time=45.915..1795.235 rows=694 loops=1)"
" -> Nested Loop (cost=1.03..281.39 rows=1 width=132) (actual time=45.902..1789.018 rows=694 loops=1)"
" -> Nested Loop (cost=1.03..281.11 rows=1 width=140) (actual time=8.021..1734.222 rows=6367 loops=1)"
" -> Nested Loop (cost=1.03..280.58 rows=1 width=136) (actual time=6.618..79.367 rows=6000 loops=1)"
" -> Nested Loop (cost=1.03..268.87 rows=1 width=125) (actual time=6.595..34.114 rows=2820 loops=1)"
" Join Filter: (filter_b_preke_matoma.prek_matovnt = b_mato_vienetai.mvnt_id)"
" -> Function Scan on filter_b_preke_matoma (cost=0.00..267.50 rows=5 width=126) (actual time=6.580..11.766 rows=2820 loops=1)"
" Filter: (((prek_pavadinimas)::text ~~* (('%'::text || ($3)::text) || '%'::text)) OR ($3 IS NULL))"
" -> Materialize (cost=1.03..1.06 rows=3 width=7) (actual time=0.001..0.002 rows=3 loops=2820)"
" -> Seq Scan on b_mato_vienetai (cost=0.00..1.03 rows=3 width=7) (actual time=0.005..0.009 rows=3 loops=1)"
" -> Index Scan using idx_ks_preke on b_kainorascio_sudetis (cost=0.00..11.67 rows=3 width=15) (actual time=0.007..0.010 rows=2 loops=2820)"
" Index Cond: (b_kainorascio_sudetis.ks_preke = filter_b_preke_matoma.prek_id)"
" -> Index Scan using idx_kag_kainorastis on b_kainorascio_grafikas (cost=0.00..0.52 rows=1 width=4) (actual time=0.199..0.272 rows=1 loops=6000)"
" Index Cond: (b_kainorascio_grafikas.kag_kainorastis = b_kainorascio_sudetis.ks_kainorastis)"
" Filter: fnk_grafikas_galioja(b_kainorascio_grafikas.kag_grafikas)"
" -> Index Scan using unq_kainorastis_pardavimo_taskui on b_pardavimo_tasko_kainorastis (cost=0.00..0.28 rows=1 width=4) (actual time=0.005..0.006 rows=0 loops=6367)"
" Index Cond: ((b_pardavimo_tasko_kainorastis.ptk_pardavimotaskas = $2) AND (b_pardavimo_tasko_kainorastis.ptk_kainorastis = b_kainorascio_sudetis.ks_kainorastis))"
" -> Index Scan using idx_gp_preke on b_grupes_prekes (cost=0.00..6.67 rows=1 width=8) (actual time=0.006..0.006 rows=0 loops=694)"
" Index Cond: (b_grupes_prekes.gp_preke = filter_b_preke_matoma.prek_id)"
" -> Seq Scan on b_grupe (cost=0.00..1.42 rows=42 width=4) (actual time=0.004..0.023 rows=42 loops=694)"
"Total runtime: 1834.686 ms"
SIMPLE SQL:
"Unique (cost=281.91..281.93 rows=1 width=132) (actual time=34.438..34.447 rows=2 loops=1)"
" -> Sort (cost=281.91..281.92 rows=1 width=132) (actual time=34.435..34.436 rows=2 loops=1)"
" Sort Key: filter_b_preke_matoma.prek_pavadinimas, filter_b_preke_matoma.prek_id, b_kainorascio_sudetis.ks_kaina, b_mato_vienetai.mvnt_trumpinys"
" Sort Method: quicksort Memory: 17kB"
" -> Nested Loop (cost=1.07..281.90 rows=1 width=132) (actual time=15.226..34.396 rows=2 loops=1)"
" -> Nested Loop (cost=1.07..280.37 rows=1 width=136) (actual time=15.197..34.331 rows=2 loops=1)"
" -> Nested Loop (cost=1.07..280.08 rows=1 width=144) (actual time=13.976..34.233 rows=7 loops=1)"
" -> Nested Loop (cost=1.07..279.55 rows=1 width=140) (actual time=12.178..29.760 rows=7 loops=1)"
" -> Nested Loop (cost=1.07..269.69 rows=1 width=133) (actual time=12.165..29.700 rows=2 loops=1)"
" -> Hash Join (cost=1.07..264.97 rows=15 width=125) (actual time=6.452..13.617 rows=2820 loops=1)"
" Hash Cond: (filter_b_preke_matoma.prek_matovnt = b_mato_vienetai.mvnt_id)"
" -> Function Scan on filter_b_preke_matoma (cost=0.00..260.00 rows=1000 width=126) (actual time=6.418..7.828 rows=2820 loops=1)"
" -> Hash (cost=1.03..1.03 rows=3 width=7) (actual time=0.013..0.013 rows=3 loops=1)"
" -> Seq Scan on b_mato_vienetai (cost=0.00..1.03 rows=3 width=7) (actual time=0.005..0.007 rows=3 loops=1)"
" -> Index Scan using idx_gp_preke on b_grupes_prekes (cost=0.00..0.30 rows=1 width=8) (actual time=0.004..0.004 rows=0 loops=2820)"
" Index Cond: (b_grupes_prekes.gp_preke = filter_b_preke_matoma.prek_id)"
" Filter: (b_grupes_prekes.gp_grupe = 43)"
" -> Index Scan using idx_ks_preke on b_kainorascio_sudetis (cost=0.00..9.82 rows=3 width=15) (actual time=0.009..0.019 rows=4 loops=2)"
" Index Cond: (b_kainorascio_sudetis.ks_preke = filter_b_preke_matoma.prek_id)"
" -> Index Scan using idx_kag_kainorastis on b_kainorascio_grafikas (cost=0.00..0.52 rows=1 width=4) (actual time=0.536..0.634 rows=1 loops=7)"
" Index Cond: (b_kainorascio_grafikas.kag_kainorastis = b_kainorascio_sudetis.ks_kainorastis)"
" Filter: fnk_grafikas_galioja(b_kainorascio_grafikas.kag_grafikas)"
" -> Index Scan using unq_kainorastis_pardavimo_taskui on b_pardavimo_tasko_kainorastis (cost=0.00..0.28 rows=1 width=4) (actual time=0.009..0.009 rows=0 loops=7)"
" Index Cond: ((b_pardavimo_tasko_kainorastis.ptk_pardavimotaskas = 18) AND (b_pardavimo_tasko_kainorastis.ptk_kainorastis = b_kainorascio_sudetis.ks_kainorastis))"
" -> Seq Scan on b_grupe (cost=0.00..1.52 rows=1 width=4) (actual time=0.012..0.020 rows=1 loops=2)"
" Filter: (b_grupe.grup_id = 43)"
"Total runtime: 34.804 ms"
Vyacheslav Kalinin rašė:
Most likely, you get different plans because the function has to deal with the parametrized query, hence planner cannot effectively use statistics. For example conditions like this
WHERE (grup_id=$2 OR $2 is Null)
would prevent planner from use of index (if there is one), while with literal query they would be simplified to just
WHERE grup_id=42.
On Thu, Nov 13, 2008 at 11:16 AM, Julius Tuskenis <julius@xxxxxxxx <mailto:julius@xxxxxxxx>> wrote:
Its a good start, but leads to nothing because Explain doesn't go into the function.
It does, after a bit of street magic:
CREATE OR REPLACE FUNCTION fnk_grupes_prekes(prm_
pardavimo_taskas integer, prm_grupe integer, prm_filtras character varying)
RETURNS refcursor AS
$BODY$
declare
cur refcursor;
begin
open cur for
explain analyze
SELECT DISTINCT prek_id, prek_pavadinimas, ks_kaina, mvnt_trumpinys
FROM filter_b_preke_matoma()
LEFT OUTER JOIN b_grupes_prekes ON (gp_preke=prek_id)
LEFT OUTER JOIN b_grupe ON (gp_grupe=grup_id)
JOIN b_mato_vienetai ON (mvnt_id=prek_matovnt)
JOIN b_kainorascio_sudetis ON (ks_preke = prek_id)
JOIN b_kainorascio_grafikas ON (ks_kainorastis=kag_kainorastis)
JOIN b_pardavimo_tasko_kainorastis ON (ks_kainorastis=ptk_kainorastis)
WHERE (grup_id=$2 OR $2 is Null)
AND ptk_pardavimotaskas=$1
AND ((prek_pavadinimas ILIKE ('%'||$3||'%')) OR $3 is NULL)
AND fnk_grafikas_galioja(kag_grafikas) = true
ORDER BY prek_pavadinimas;
return cur;
end;
$BODY$
LANGUAGE 'plpgsql' VOLATILE;
begin;
select fnk_grupes_prekes(...);
fetch all in cur;
(I didnt test the above commands, but that's what I do to debug in-function plans)
--
Julius Tuskenis
Programavimo skyriaus vadovas
UAB nSoft
mob. +37068233050
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