On 7/16/22 16:21, Martin Kalcher wrote:
Hey Mladen,
thank you for your advice. Unfortunately the performance of shuffling with NumPy is about the same as with SQL.
create function numpy_shuffle(arr int[])
returns int[]
as $$
import numpy
numpy.random.shuffle(arr)
return arr
$$ language 'plpython3u';
select arr[1:3]::text || ' ... ' || arr[3999998:4000000]::text
from (
select numpy_shuffle(arr) arr from numbers
) shuffled;
-------------------------------------------------------
{674026,3306457,1727170} ... {343875,3825484,1235246}
Time: 2315.431 ms (00:02.315)
Am i doing something wrong?
Martin
Hi Martin,
No, you're doing everything right. I have no solution for you. You may need to do some C programming or throw a stronger hardware at the problem. The performance of your processors may be the problem. Good luck!
--
Mladen Gogala
Database Consultant
Tel: (347) 321-1217
https://dbwhisperer.wordpress.com
