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From: Maciej Piekielniak <piechcio@isb.com.pl>
To: pgsql-sql@postgresql.org
Subject: Re: How to optimize this query?
Date: Wed, 22 Mar 2006 19:18:01 +0100
Message-ID: <1731392587.20060322191801@isb.com.pl> (raw)
In-Reply-To: <684362e10603220958s2dac37cfp@mail.gmail.com>
References: <827987076.20060322181715@isb.com.pl>
	<684362e10603220958s2dac37cfp@mail.gmail.com>

Hello Markus,

Wednesday, March 22, 2006, 6:58:44 PM, you wrote:

MB> Send an EXPLAIN ANALYZE of the query along with the description of the
MB> involved tables. Also hardware information (RAM, disks, CPU), what
MB> other applications are running on that box and the parameter values in
MB> postgresql.conf that you changed from the defaults would be
MB> interesting.


 Sort  (cost=21413847.71..21413867.37 rows=7864 width=107)
   Sort Key: dostawcy.id_dostawcy
   ->  Group  (cost=1360.03..21413073.50 rows=7864 width=107)
         ->  Sort  (cost=1360.03..1379.69 rows=7864 width=107)
               Sort Key: towar.id_towar, towar.key2, towar.nazwa, towar.min1, towar.max1, towar.ilosc_jed, towar.ilosc_nom, dostawcy.id_dostawcy, jednostka_miary.jednostka, towar.ilosc_paczkowa, towar.key1
               ->  Hash Left Join  (cost=2.21..585.81 rows=7864 width=107)
                     Hash Cond: ("outer".id_jednostka_miary = "inner".id_jednostka_miary)
                     ->  Hash Left Join  (cost=1.14..466.78 rows=7864 width=103)
                           Hash Cond: ("outer".id_dostawcy = "inner".id_dostawcy)
                           ->  Seq Scan on towar  (cost=0.00..347.68 rows=7864 width=103)
                                 Filter: policzalne
                           ->  Hash  (cost=1.11..1.11 rows=11 width=4)
                                 ->  Seq Scan on dostawcy  (cost=0.00..1.11 rows=11 width=4)
                     ->  Hash  (cost=1.06..1.06 rows=6 width=12)
                           ->  Seq Scan on jednostka_miary  (cost=0.00..1.06 rows=6 width=12)
         SubPlan
           ->  Aggregate  (cost=2722.71..2722.72 rows=1 width=14)
                 ->  Nested Loop  (cost=64.33..2722.28 rows=171 width=14)
                       ->  Hash Join  (cost=64.33..602.79 rows=368 width=12)
                             Hash Cond: ("outer".id_zlecenia = "inner".id_zlecenia)
                             ->  Seq Scan on zlecenia_elementy  (cost=0.00..488.85 rows=9185 width=20)
                             ->  Hash  (cost=63.98..63.98 rows=140 width=8)
                                   ->  Bitmap Heap Scan on zlecenia  (cost=6.50..63.98 rows=140 width=8)
                                         Recheck Cond: ((id_paczka = 52) OR (id_paczka = 50) OR (id_paczka = 53))
                                         ->  BitmapOr  (cost=6.50..6.50 rows=142 width=0)
                                               ->  Bitmap Index Scan on zlecenia_id_paczka  (cost=0.00..2.17 rows=47 width=0)
                                                     Index Cond: (id_paczka = 52)
                                               ->  Bitmap Index Scan on zlecenia_id_paczka  (cost=0.00..2.17 rows=47 width=0)
                                                     Index Cond: (id_paczka = 50)
                                               ->  Bitmap Index Scan on zlecenia_id_paczka  (cost=0.00..2.17 rows=47 width=0)
                                                     Index Cond: (id_paczka = 53)
                       ->  Index Scan using zlezenia_towar_elementy_towar on zlecenia_towar  (cost=0.00..5.75 rows=1 width=18)
                             Index Cond: ((zlecenia_towar.id_zlecenia_elementy = "outer".id_zlecenia_elementy) AND (zlecenia_towar.id_towar = $0))
(33 rows)

-- 
Best regards,
 Maciej                            mailto:piechcio@isb.com.pl




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