Hi,
We recently upgraded our trac backend from sqlite to postgres, and I
decided to have a little fun and write some reports that delve into
trac's subversion cache, and got stuck with a query optimisation
problem.
Table revision contains 2800+ rows
Table node_change contains 370000+.
rev is a 'TEXT' field on both containing numerical data (not my choice,
trac does it like this to support VCS backends with non-numerical
revision identifiers).
I've got stuck with this query:
SELECT author, COUNT(DISTINCT r.rev)
FROM revision AS r
LEFT JOIN node_change AS nc
ON r.rev=nc.rev
WHERE r.time >= EXTRACT(epoch FROM (NOW() - interval '30
days'))::integer
GROUP BY r.author;
Currently it shows the number of commits per author in the last 30 days.
The join to node_change is superfluous for this purpose but was added
because I intended to add new columns which draw on this table, such as
the number of files added, deleted etc.
I never got that far however due to the planner problem:
GroupAggregate (cost=56755.41..56852.28 rows=2 width=17) (actual
time=4836.433..4897.458 rows=25 loops=1)
-> Sort (cost=56755.41..56787.69 rows=12913 width=17) (actual
time=4836.233..4851.968 rows=22419 loops=1)
Sort Key: r.author
-> Merge Left Join (cost=53886.10..55873.68 rows=12913
width=17) (actual time=4600.733..4641.749 rows=22419 loops=1)
Merge Cond: ("outer".rev = "inner".rev)
-> Sort (cost=93.78..96.24 rows=982 width=17) (actual
time=7.050..7.383 rows=1088 loops=1)
Sort Key: r.rev
-> Index Scan using revision_time_idx on revision
r (cost=0.01..44.98 rows=982 width=17) (actual time=0.191..4.014
rows=1088 loops=1)
Index Cond: ("time" >=
(date_part('epoch'::text, (now() - '30 days'::interval)))::integer)
-> Sort (cost=53792.32..54719.09 rows=370707 width=8)
(actual time=4203.665..4443.748 rows=346238 loops=1)
Sort Key: nc.rev
-> Seq Scan on node_change nc
(cost=0.00..12852.07 rows=370707 width=8) (actual time=0.054..663.719
rows=370707 loops=1)
Total runtime: 4911.430 ms
If I disable sequential scans I get the following explain:
GroupAggregate (cost=221145.13..221242.01 rows=2 width=17) (actual
time=286.348..348.268 rows=25 loops=1)
-> Sort (cost=221145.13..221177.42 rows=12913 width=17) (actual
time=286.183..302.239 rows=22419 loops=1)
Sort Key: r.author
-> Nested Loop Left Join (cost=0.01..220263.40 rows=12913
width=17) (actual time=0.339..86.626 rows=22419 loops=1)
-> Index Scan using revision_time_idx on revision r
(cost=0.01..44.98 rows=982 width=17) (actual time=0.194..4.056 rows=1088
loops=1)
Index Cond: ("time" >= (date_part('epoch'::text,
(now() - '30 days'::interval)))::integer)
-> Index Scan using node_change_rev_idx on node_change
nc (cost=0.00..223.18 rows=86 width=8) (actual time=0.009..0.058
rows=21 loops=1088)
Index Cond: ("outer".rev = nc.rev)
Total runtime: 350.103 ms
Statistics are set to 20, and I have ANALYZEd both tables.
The report itself isn't important, but I'm using this as an exercise in
PostgreSQL query optimisation and planner tuning, so any help/hints
would be appreciated.
Thanks.
--
Russ
