Hi All, I have a folder in HDFS which has files with size of 47GB. I am loading this in Spark as RDD[String] and caching it. The total amount of RAM that Spark uses to cache it is around 97GB. I want to know why Spark is taking up so much of Space for the RDD? Can we reduce the RDD size in Spark and make it similar to it's size on disk?
Thanks and Regards, Suraj Sheth