From: | "Edwin Quijada" <listas_quijada(at)hotmail(dot)com> |
---|---|
To: | pgsql-general(at)postgresql(dot)org |
Subject: | Panic Index!!!! |
Date: | 2003-09-05 17:07:46 |
Message-ID: | BAY1-F5543krbUpm0Rn00002930@hotmail.com |
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Thread: | |
Lists: | pgsql-general |
Hi this is my code of sql select
SELECT
a.f_codigo_cliente,
a.f_fecha_inicio_vigencia,
a.f_fecha_fin_vigencia,
b.f_nombre,
b.f_apellido,
e.f_chassis,
e.f_placa,
e.f_registro,
e.f_color,
e.f_year,
g.f_descripcion_marca,
f.f_descripcion_modelo
FROM
t_poliza_vehiculos a,
t_clientes b,
t_vehiculos_asegurados d,
t_vehiculos e,
t_agentes c,
t_marcas_vehiculos g,
t_modelos f
WHERE
a.f_codigo_cliente = b.f_codigo_cliente AND
a.f_agente = c.f_codigo_agente AND
a.f_wholenum = d.f_wholenum AND
d.f_idvehiculo = e.f_keyvehiculo AND
e.f_modelo = f.f_idmodelo AND
f.f_idmarca = g.f_codigo_marca AND
a.f_wholenum = 'POL000001';
This select get 20 seconds to doing. My 2 first table has 500000 reords each
one
Explain ////////////////
Merge Join (cost=79.44..7127.72 rows=226 width=347)
Merge Cond: ("outer".f_wholenum = "inner".f_wholenum)
-> Nested Loop (cost=0.00..7025.77 rows=1807 width=116)
-> Nested Loop (cost=0.00..17.13 rows=1 width=44)
Join Filter: ("outer".f_agente = "inner".f_codigo_agente)
-> Index Scan using t_poliza_vehiculos_f_wholenum_idx on
t_poliza_vehiculos a (cost=0.00..17.07 rows=5 width=40)
Index Cond: (f_wholenum = 'POL000001'::bpchar)
-> Seq Scan on t_agentes c (cost=0.00..0.00 rows=1 width=4)
-> Index Scan using f_id on t_clientes b (cost=0.00..6986.05
rows=1807 width=72)
Index Cond: ("outer".f_codigo_cliente = b.f_codigo_cliente)
-> Sort (cost=79.44..79.76 rows=125 width=231)
Sort Key: d.f_wholenum
-> Hash Join (cost=43.53..75.09 rows=125 width=231)
Hash Cond: ("outer".f_codigo_marca = "inner".f_idmarca)
-> Seq Scan on t_marcas_vehiculos g (cost=0.00..20.00
rows=1000 width=43)
-> Hash (cost=43.47..43.47 rows=25 width=188)
-> Hash Join (cost=18.15..43.47 rows=25 width=188)
Hash Cond: ("outer".f_idvehiculo =
"inner".f_keyvehiculo)
-> Seq Scan on t_vehiculos_asegurados d
(cost=0.00..20.00 rows=1000 width=28)
-> Hash (cost=18.14..18.14 rows=5 width=160)
-> Nested Loop (cost=0.00..18.14 rows=5
width=160)
-> Seq Scan on t_vehiculos e
(cost=0.00..1.01 rows=1 width=113)
-> Index Scan using
t_modelos_f_idmodelo_idx on t_modelos f (cost=0.00..17.07 rows=5 width=47)
Index Cond: ("outer".f_modelo =
f.f_idmodelo)
/////////////////////////
*-------------------------------------------------------*
*-Edwin Quijada
*-Developer DataBase
*-JQ Microsistemas
*-809-747-2787
* " Si deseas lograr cosas excepcionales debes de hacer cosas fuera de lo
comun"
*-------------------------------------------------------*
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