unable to select top 10 records per group in sparksql

Here we can used dense_rank also

select *
from (select *,
             dense_rank() over (partition by listner order by timestamp) as rank
      from avg_table
     ) 
where rank <= 10;

Difference Between dense_rank() and row_number() is dense_rank() provide the same rank/number to matching column[on partitioned is done] values in multiple row where as row_number() provide the unique row number/rank to matching column values in multiple row

Thanks

Doesn't this work?

select rssi, timestamp, tagid
from avg_table
order by timestamp desc
limit 10;

EDIT:

Oh, I get it. You want row_number():

select rssi, timestamp, tagid
from (select a.*,
             row_number() over (partition by listner order by timestamp desc) as seqnum
      from avg_table
     ) a
where seqnum <= 10
order by a.timestamp desc;