Hi Abhnav,
this sounds to me like a bad design, since it isn't scalable. Would it be
possible to store all the data in a database like hbase/bigtable/cassandra?
This would allow you to write the data from all the workers in parallel to
the database/
Cheers, Fokko
Op wo 27 nov. 2019 om 06:58 schr
Hi all,
I want to collect some rows in a list by using the spark's collect_list
function.
However, the no. of rows getting in the list is overflowing the memory.
Is there any way to force the collection of rows onto the disk rather
than in memory, or else instead of collecting it as a list,
