Select latest values in timeseries table [duplicate] - sql

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I have a timeseries table in Postgres that collects events of various types, with their values and a timestamp. In stylized form it looks like this:
evt_type
evt_val_01
evt_val_02
evt_time
1
0.5
10
1
2
0.7
12
1
3
0.8
13
1
2
0.1
21
2
2
0.3
98
3
3
0.4
76
3
2
0.2
3
4
I'd like now to create a SELECT query that returns the latest (by timestamp in evt_time) values per event type (evt_typ), i.e., the query should return:
evt_type
evt_val
evt_val_02
evt_time
1
0.5
10
1
2
0.2
3
4
3
0.4
76
3
In QuestDB for instance, this is easy to be achieved by the LATEST ON parameter. However, I am struggling to find an efficient Postgres approach that makes full use of index on evt_time and evt_type. The trivial approach using
select evt_type, max(evt_time) from events group by evt_type
In a sub-query, is way too slow, as the real-life table has double-digit million rows and about a thousand event types, plus about a dozen value columns. I tried to use various forms of last_value(), and LATERAL joins, but did not manage to get it right thus far.
Any suggestions how to structure the SELECT query would be greatly appreciated. PS, I'm on Postgres 15.1