On 03/04/2018 09:19 PM, Pavel Stehule wrote:
> Hi
>
> Just curious
>
> postgres=# explain analyze select array_upper(array_agg(i),1) from
> generate_series(1,100000) g(i);
> QUERY
> PLAN
>
---------------------------------------------------------------------------------------------------------------------------------
> Aggregate (cost=12.50..12.52 rows=1 width=4) (actual
> time=43.164..43.164 rows=1 loops=1)
> -> Function Scan on generate_series g (cost=0.00..10.00 rows=1000
> width=4) (actual time=19.150..31.083 rows=100000 loops=1)
> Planning time: 0.100 ms
> Execution time: 44.392 ms
> (4 rows)
>
> postgres=# explain analyze select array_upper(array(select i from
> generate_series(1,1000000) g(i)),1);
> QUERY
> PLAN
>
--------------------------------------------------------------------------------------------------------------------------------------
> Result (cost=10.00..10.01 rows=1 width=4) (actual
> time=334.567..334.568 rows=1 loops=1)
> InitPlan 1 (returns $0)
> -> Function Scan on generate_series g (cost=0.00..10.00 rows=1000
> width=4) (actual time=141.503..254.483 rows=1000000 loops=1)
> Planning time: 0.171 ms
> Execution time: 339.057 ms
> (5 rows)
>
> This code is about 8times slower
>
Because you're passing 100000 in the first query and 1000000 in the
second one. So it should be about 10x slower, more or less.
regards
--
Tomas Vondra http://www.2ndQuadrant.com
PostgreSQL Development, 24x7 Support, Remote DBA, Training & Services
