Best way to aggregate sum for each month - Mailing list pgsql-sql
Hi all.
I'm using PG-9.4.
I'm having a table, activity_log, which holds activities with duration for a given date.
I'm trying to sum the duration for each month in a given year and am currently doing it like this:
select
q.start_date , sum(log.duration) / (3600 * 1000)::NUMERIC as total_duration
FROM
(SELECT cast(generate_series('2014-01-01' :: DATE, '2014-12-01' :: DATE, '1 month') AS DATE) as start_date) AS q LEFT OUTER JOIN activity_log log ON date_trunc('month', log.start_date::timestamp without time zone) = q.start_date
GROUP BY q.start_date
ORDER BY q.start_date
;
I have the current index defined:
create index activity_start_month ON activity_log(date_trunc('month', start_date::timestamp without time zone));
Here's the explain plan:
QUERY PLAN
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
GroupAggregate (cost=65.27..91102.17 rows=200 width=12) (actual time=179.983..344.517 rows=12 loops=1)
Group Key: ((generate_series(('2014-01-01'::date)::timestamp with time zone, ('2014-12-01'::date)::timestamp with time zone, '1 mon'::interval))::date)
-> Merge Left Join (cost=65.27..82950.79 rows=1629675 width=12) (actual time=163.894..310.011 rows=143551 loops=1)
Merge Cond: (((generate_series(('2014-01-01'::date)::timestamp with time zone, ('2014-12-01'::date)::timestamp with time zone, '1 mon'::interval))::date) = date_trunc('month'::text, (log.start_date)::timestamp without time zone))
-> Sort (cost=64.84..67.34 rows=1000 width=4) (actual time=0.045..0.052 rows=12 loops=1)
Sort Key: ((generate_series(('2014-01-01'::date)::timestamp with time zone, ('2014-12-01'::date)::timestamp with time zone, '1 mon'::interval))::date)
Sort Method: quicksort Memory: 25kB
-> Result (cost=0.00..5.01 rows=1000 width=0) (actual time=0.017..0.031 rows=12 loops=1)
-> Materialize (cost=0.42..51097.29 rows=325935 width=12) (actual time=0.032..227.692 rows=323180 loops=1)
-> Index Scan using activity_start_month on activity_log log (cost=0.42..50282.45 rows=325935 width=12) (actual time=0.029..185.746 rows=323180 loops=1)
Planning time: 0.201 ms
Execution time: 344.645 ms
(12 rows)
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
GroupAggregate (cost=65.27..91102.17 rows=200 width=12) (actual time=179.983..344.517 rows=12 loops=1)
Group Key: ((generate_series(('2014-01-01'::date)::timestamp with time zone, ('2014-12-01'::date)::timestamp with time zone, '1 mon'::interval))::date)
-> Merge Left Join (cost=65.27..82950.79 rows=1629675 width=12) (actual time=163.894..310.011 rows=143551 loops=1)
Merge Cond: (((generate_series(('2014-01-01'::date)::timestamp with time zone, ('2014-12-01'::date)::timestamp with time zone, '1 mon'::interval))::date) = date_trunc('month'::text, (log.start_date)::timestamp without time zone))
-> Sort (cost=64.84..67.34 rows=1000 width=4) (actual time=0.045..0.052 rows=12 loops=1)
Sort Key: ((generate_series(('2014-01-01'::date)::timestamp with time zone, ('2014-12-01'::date)::timestamp with time zone, '1 mon'::interval))::date)
Sort Method: quicksort Memory: 25kB
-> Result (cost=0.00..5.01 rows=1000 width=0) (actual time=0.017..0.031 rows=12 loops=1)
-> Materialize (cost=0.42..51097.29 rows=325935 width=12) (actual time=0.032..227.692 rows=323180 loops=1)
-> Index Scan using activity_start_month on activity_log log (cost=0.42..50282.45 rows=325935 width=12) (actual time=0.029..185.746 rows=323180 loops=1)
Planning time: 0.201 ms
Execution time: 344.645 ms
(12 rows)
Are there any ways to improve this?
Thanks.
--
Andreas Joseph Krogh
CTO / Partner - Visena AS
Mobile: +47 909 56 963
