Hi, I noticed that rdd.cache() is not happening immediately rather due to lazy feature of Spark, it is happening just at the moment you perform some map/reduce actions. Is this true?
If this is the case, how can I enforce Spark to cache immediately at its cache() statement? I need this to perform some benchmarking and I need to separate rdd caching and rdd transformation/action processing time. best, /Shahab
