Any better plan for this query?..

From: Dimitri <dimitrik(dot)fr(at)gmail(dot)com>
To: PostgreSQL Performance <pgsql-performance(at)postgresql(dot)org>
Subject: Any better plan for this query?..
Date: 2009-05-06 07:38:59
Message-ID: 5482c80a0905060038o34d0b705g834efd532c80d5fa@mail.gmail.com
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Hi,

any idea if there is a more optimal execution plan possible for this query:

select S.REF as stref, S.NAME as stnm, H.HORDER as hord, H.BEGIN_DATE as hbeg,
H.END_DATE as hend, H.NOTE as hnote
from HISTORY H, STAT S
where S.REF = H.REF_STAT
and H.REF_OBJECT = '0000000001'
order by H.HORDER ;

EXPLAIN ANALYZE output on 8.4:
QUERY PLAN
------------------------------------------------------------------------------------------------------------------------------------------------
Sort (cost=4549.75..4555.76 rows=2404 width=176) (actual
time=1.341..1.343 rows=20 loops=1)
Sort Key: h.horder
Sort Method: quicksort Memory: 30kB
-> Hash Join (cost=33.50..4414.75 rows=2404 width=176) (actual
time=1.200..1.232 rows=20 loops=1)
Hash Cond: (h.ref_stat = s.ref)
-> Index Scan using history_ref_idx on history h
(cost=0.00..4348.20 rows=2404 width=135) (actual time=0.042..0.052
rows=20 loops=1)
Index Cond: (ref_object = '0000000001'::bpchar)
-> Hash (cost=21.00..21.00 rows=1000 width=45) (actual
time=1.147..1.147 rows=1000 loops=1)
-> Seq Scan on stat s (cost=0.00..21.00 rows=1000
width=45) (actual time=0.005..0.325 rows=1000 loops=1)
Total runtime: 1.442 ms
(10 rows)

Table HISTORY contains 200M rows, only 20 needed
Table STAT contains 1000 rows, only 20 needed to be joined to HISTORY values.

Table definitions:
"""""""""""""""""""""""""""""""""""""""""""""""""""
create table STAT
(
REF CHAR(3) not null,
NAME CHAR(40) not null,
NUMB INT not null
);

create table HISTORY
(
REF_OBJECT CHAR(10) not null,
HORDER INT not null,
REF_STAT CHAR(3) not null,
BEGIN_DATE CHAR(12) not null,
END_DATE CHAR(12) ,
NOTE CHAR(100)
);

create unique index stat_ref_idx on STAT( ref );
create index history_ref_idx on HISTORY( ref_object, horder );
"""""""""""""""""""""""""""""""""""""""""""""""""""

NOTE: The same query runs 2 times faster on MySQL.

Any idea?..

Rgds,
-Dimitri

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