Is it possible to speed this query up?

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Hi all,

  I execute the following query on postgresql 8.1.0:

SELECT
  u.telephone_number
  , u.telecom_operator_id
  , u.name
FROM
  campanas_subcampaign AS sub
  , agenda_users AS u
  , agenda_users_groups ug
WHERE
  sub.customer_app_config_id = 19362
  AND sub.subcampaign_id = 9723
  AND ug.agenda_user_group_id >= sub.ini_user_group_id
  AND ug.user_id=u.user_id
AND ug.group_id IN ( SELECT group_id FROM campanas_groups WHERE customer_app_config_id = 19362 )
  ORDER BY ug.agenda_user_group_id ASC LIMIT 150

the explain analyze shouts the following:



Limit (cost=1.20..4600.56 rows=150 width=74) (actual time=76516.312..76853.191 rows=150 loops=1) -> Nested Loop (cost=1.20..333424.31 rows=10874 width=74) (actual time=76516.307..76852.896 rows=150 loops=1) -> Nested Loop (cost=1.20..299653.89 rows=10874 width=20) (actual time=76506.926..76512.608 rows=150 loops=1) Join Filter: ("outer".agenda_user_group_id >= "inner".ini_user_group_id) -> Nested Loop IN Join (cost=1.20..189802.77 rows=32623 width=20) (actual time=75938.659..76353.748 rows=16200 loops=1)
                     Join Filter: ("outer".group_id = "inner".group_id)
-> Index Scan using pk_agndusrgrp_usergroup on agenda_users_groups ug (cost=0.00..123740.26 rows=2936058 width=30) (actual time=0.101..61921.260 rows=2836638 loops=1) -> Materialize (cost=1.20..1.21 rows=1 width=10) (actual time=0.001..0.002 rows=1 loops=2836638) -> Seq Scan on campanas_groups (cost=0.00..1.20 rows=1 width=10) (actual time=0.052..0.053 rows=1 loops=1) Filter: (customer_app_config_id = 19362::numeric) -> Index Scan using pk_cmpnssubc_subcmpnid on campanas_subcampaign sub (cost=0.00..3.35 rows=1 width=8) (actual time=0.005..0.006 rows=1 loops=16200)
                     Index Cond: (subcampaign_id = 9723)
                     Filter: (customer_app_config_id = 19362::numeric)
-> Index Scan using pk_agenda_uid on agenda_users u (cost=0.00..3.09 rows=1 width=78) (actual time=2.262..2.264 rows=1 loops=150)
               Index Cond: ("outer".user_id = u.user_id)
 Total runtime: 76853.504 ms
(16 rows)



Do you think I could do anything to speed it up?


Cheers!!
--
Arnau


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