I will show you with an example what I need.
This is my table with some data:
td_time | td_wave | td_userid_1 | td_userid_2
15 | 1 | 100 | 200
21 | 2 | 300 | 400
9 | 1 | 500 | 600
35 | 3 | 700 | 800
20 | 3 | 900 | 1000
88 | 4 | 1100 | 1200
I need the best td_time_seconds
from every td_wave
and the best users associated with that 'record'.
This is the query I used:
SELECT MIN(td_time_seconds), td_wave, td_userid_1, td_userid_2
FROM test
GROUP BY td_wave
ORDER BY td_time_seconds ASC
and return the following:
td_time | td_wave | td_userid_1 | td_userid_2
9 | 1 | 100 | 200
20 | 3 | 700 | 800
21 | 2 | 300 | 400
88 | 4 | 1100 | 1200
The problem, the query return the first td_userid_1
and td_userid_2
.
td_userid_1
and td_userid_2
when td_wave = 1
should be 500 and 600 and when td_wave = 3
should be 900 and 1000.