You cannot do it in a fast query. You have a lot of data.
I would suggest creating a new table. You can then replace the data in your first table, if necessary.
Possibly the most efficient method to get the 50 rows -- assuming that date
is unique for each room
:
select t.*
from t
where t.date >= coalesce((select t2.date
from t t2
where t2.room = t.room
order by t2.date desc
limit 1
), t.date
);
For this to have any hope of performance you want an index on (room, date)
.
You can also try row_number()
in MySQL 8+:
select . . . -- list the columns
from (select t.*, row_number() over (partition by room order by date desc) as seqnum
from t
) t
where seqnum <= 50;
Then you can replace the data by doing:
create table temp_t as
select . . . -- one of the select queries here;
truncate table t; -- this gets rid of all the data, so be careful
insert into t
select *
from temp_t;
Massive inserts are much more efficient than massive updates, because the old data does not need to be logged (nor the pages locked and other things).