hello all, i am observing a strange result. i have a computation that i run on a cached RDD in spark-standalone. it typically takes about 4 seconds.
but when other RDDs that are not relevant to the computation at hand are cached in memory (in same spark context), the computation takes 40 seconds or more. the problem seems to be GC time, which goes from milliseconds to tens of seconds. note that my issue is not that memory is full. i have cached about 14G in RDDs with 66G available across workers for the application. also my computation did not push any cached RDD out of memory. any ideas?
