RDDs are the building blocks of Spark and what make it so powerful: they are stored in memory for fast processing. RDDs are broken down into partitions (blocks) of data, a logical piece of distributed dataset. The underlying abstraction for blocks in Spark is a ByteBuffer, which limits the size of the block to 2 … Continue reading Spark Error “java.lang.IllegalArgumentException: Size exceeds Integer.MAX_VALUE” in Spark 1.6 →