From: | Pavel Stehule <pavel(dot)stehule(at)gmail(dot)com> |
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To: | Katharina Koobs <katharina(dot)koobs(at)uni-konstanz(dot)de> |
Cc: | "pgsql-performance(at)postgresql(dot)org" <pgsql-performance(at)postgresql(dot)org> |
Subject: | Re: increasing query time after analyze |
Date: | 2014-02-12 09:20:44 |
Message-ID: | CAFj8pRDBi6Wz7rSXxKaN_Bwb4AEpOkjOaJmLW_fbcSM3K4J8HQ@mail.gmail.com |
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Lists: | pgsql-performance |
2014-02-12 9:58 GMT+01:00 Katharina Koobs <katharina(dot)koobs(at)uni-konstanz(dot)de>:
fast query is fast due intesive use a hashjoins
but you can see
Hash Left Join (cost=9343.05..41162.99 rows=6889 width=1350) (actual
time=211.767..23519.296 rows=639137 loops=1)
a estimation is out. Is strange so after ANALYSE a estimation is worse
Nested Loop Left Join (cost=1122.98..28246.98 rows=1 width=1335) (actual
time=33.222..14631581.741 rows=639137 loops=1)
So it looks some in data is strange - probably dependency between columns:
sos_stg_aggr.stichtag = sos_stichtag.tid, sos_stg_aggr.stuart = cifx.apnr
Hash Join (cost=1121.04..24144.02 rows=57 width=339) (actual
time=2.407..11157.151 rows=639221 loops=1)
- Hash Cond: (sos_stg_aggr.stuart = cifx.apnr)
Nested loop based plan is extremely sensitive to this wrong estimation.
You can try:
* penalize nested loop - set enable_nested_loop to off; -- for this query
* divide this query to more queries - store result temporary table and
analyze (fix wrong estimation)
* maybe you can increase a work_mem
Regards
Pavel Stehule
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