Can I save RDD to the local file system and then read it back on a spark
cluster with multiple nodes?
rdd.saveAsObjectFile("file:///home/data/rdd1<file:///\\home\data\rdd1>")
val rdd2 = sc.objectFile("file:///home/data/rdd1<file:///\\home\data\rdd1>")
This will works if the cluster has only one node. But my cluster has 3 nodes
and each node has a local dir called /home/data. Is rdd saved to the local dir
across 3 nodes? If so, does sc.objectFile(...) smart enough to read the local
dir in all nodes to merge them into a single rdd?
Ningjun
