Hi all,
I am working with a 1.5 billon rows dataframe in a small cluster and trying to apply an orderBy operation by one of the Long Types columns.
If I limit such output to some number, say 5 millon, then trying to count, persist or store the dataframe makes spark crash with losing executors and hang ups.
Not limiting the dataframe after the order by operation works normally, i.e. it works fine when trying to write the 1.5 billon rows again.
Any thoughts? Using spark 1.6.0 scala 2.11