Ken Egervari wrote:
I've tried to use Dan Tow's tuning method and created all the right indexes from his diagraming method, but the query still performs quite slow both inside the application and just inside pgadmin III. Can anyone be kind enough to help me tune it so that it performs better in postgres? I don't think it's using the right indexes, or maybe postgres needs special treatment.
First, what version of postgres, and have you run VACUUM ANALYZE recently? Also, please attach the result of running EXPLAIN ANALYZE. (eg, explain analyze select s.* from shipment ...)
It's very possible that you don't have up-to-date statistics, which causes postgres to make a bad estimate of what the fastest plan is.
Also, if you are using an older version of postgres (like 7.1) you really should upgrade. There are quite a few performance and real bug fixes.
I've converted the below query to SQL from a Hibernate query, so the syntax is probably not perfect but it's semantics are exactly the same. I've done so by looking at the source code, but I can't run it to get the exact SQL since I don't have the database on my home machine.
I don't know how to make Hibernate do what you want, but if you change the query to using subselects (not all databases support this, so hibernate might not let you), you can see a performance improvement. Also sometimes using explicit joins can be worse than just letting the query manager figure it out. So something like select s.* from shipment s, carrier_code cc, carrier c, ... where s.carrier_code_id = cc.id and c.id = cc.carrier_id and ....
But again, since this is generated from another program (Hibernate), I really don't know how you tell it how to tune the SQL. Probably the biggest "non-bug" performance improvements are from tuning the SQL. But if postgres isn't using the right indexes, etc, you can probably fix that.
John =:->
select s.* from shipment s inner join carrier_code cc on s.carrier_code_id = cc.id inner join carrier c on cc.carrier_id = c.id inner join carrier_to_person ctp on ctp.carrier_id = c.id inner join person p on p.id = ctp.person_id inner join shipment_status cs on s.current_status_id = cs.id inner join release_code rc on cs.release_code_id = rc.id left join shipment_status ss on ss.shipment_id = s.id where p.id = :personId and s.is_purged = false and rc.number = '9' and cs is not null and cs.date >= current_date - 31 order by cs.date desc Just assume I have no indexes for the moment because while some of the indexes I made make it work faster, it's still around 250 milliseconds and under heavy load, the query performs very badly (6-7 seconds).
For your information:
shipment contains 40,000 rows shipment_status contains 80,000 rows release_code contains 8 rows person contains 300 rows carrier contains 60 rows carrier_code contains 70 rows
The filter ratios are:
rc.number = '9' (0.125) cs.date >= current_date - 31 (.10) p.id = ? (0.003) s.is_purged = false (.98)
I really hope someone can help since I'm pretty much stuck.
Best regards and many thanks, Ken
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