Hi, I have a standalone spark , where the executor is set to have 6.3 G memory , as I am using two workers so in total there 12.6 G memory and 4 cores.
I am trying to cache a RDD with approximate size of 3.2 G, but apparently it is not cached as neither I can see " BlockManagerMasterActor: Added rdd_XX in memory " nor the performance of running the tasks is improved But, why it is not cached when there is enough memory storage? I tried with smaller RDDs. 1 or 2 G and it works, at least I could see "BlockManagerMasterActor: Added rdd_0_1 in memory" and improvement in results. Any idea what I am missing in my settings, or... ? thanks, /Shahab
