Hello Tomas,
The auto explain analyze caught this:
2021-09-14 06:55:33 UTC, pid=12345 db=mydb, usr=myuser, client=ip,
app=PostgreSQL JDBC Driver, line=55 LOG: duration: 5934.165 ms plan:
Query Text: SELECT * FROM myschema.mytable pbh WHERE
pbh.product_code = $1 AND pbh.cage_player_id = $2 AND
pbh.cage_code = $3 AND balance_type = $4 AND pbh.modified_time <
$5 ORDER BY pbh.modified_time DESC FETCH FIRST 1 ROWS ONLY
Limit (cost=0.70..6.27 rows=1 width=66) (actual
time=5934.154..5934.155 rows=1 loops=1)
Buffers: shared hit=7623 read=18217
-> Index Scan Backward using mytable_idx2 on mytable pbh
(cost=0.70..21639.94 rows=3885 width=66) (actual
time=5934.153..5934.153 rows=1 loops=1)
Index Cond: ((cage_code = $3) AND (cage_player_id = $2) AND
(modified_time < $5))
So it expected to get 3885 rows, but got just 1. So this is the
statistics issue, right?
For testing, I set autovacuum_vacuum_scale_factor = 0.0 and
autovacuum_vacuum_threshold = 10000 for the table and am now
monitoring the behavior.
Best regards,
Kristjan
On Mon, Sep 13, 2021 at 4:50 PM Tomas Vondra
<tomas.vondra@enterprisedb.com> wrote:
>
> On 9/13/21 3:24 PM, Kristjan Mustkivi wrote:
> > Dear community,
> >
> > I have a query that most of the time gets executed in a few
> > milliseconds yet occasionally takes ~20+ seconds. The difference, as
> > far as I am able to tell, comes whether it uses the table Primary Key
> > (fast) or an additional index with smaller size. The table in question
> > is INSERT ONLY - no updates or deletes done there.
> >
>
> It'd be really useful to have explain analyze for the slow execution.
>
> My guess is there's a poor estimate, affecting some of the parameter
> values, and it probably resolves itself after autoanalyze run.
>
> I see you mentioned SET STATISTICS, so you tried increasing the
> statistics target for some of the columns? Have you tried lowering
> autovacuum_analyze_scale_factor to make autoanalyze more frequent?
>
> It's also possible most values are independent, but some values have a
> rather strong dependency, skewing the estimates. The MCV would help with
> that, but those are in PG12 :-(
>
>
> regards
>
> --
> Tomas Vondra
> EnterpriseDB: http://www.enterprisedb.com
> The Enterprise PostgreSQL Company
--
Kristjan Mustkivi
Email: kristjan.mustkivi@gmail.com
