Github user mateiz commented on a diff in the pull request: https://github.com/apache/spark/pull/50#discussion_r10201177 --- Diff: core/src/main/scala/org/apache/spark/CacheManager.scala --- @@ -71,10 +71,21 @@ private[spark] class CacheManager(blockManager: BlockManager) extends Logging { val computedValues = rdd.computeOrReadCheckpoint(split, context) // Persist the result, so long as the task is not running locally if (context.runningLocally) { return computedValues } - val elements = new ArrayBuffer[Any] - elements ++= computedValues - blockManager.put(key, elements, storageLevel, tellMaster = true) - elements.iterator.asInstanceOf[Iterator[T]] + if (storageLevel.useDisk && !storageLevel.useMemory) { + blockManager.put(key, computedValues, storageLevel, tellMaster = true) + return blockManager.get(key) match { + case Some(values) => + return new InterruptibleIterator(context, values.asInstanceOf[Iterator[T]]) + case None => + logInfo("Failure to store %s".format(key)) + return null --- End diff -- Why return null here instead of throwing an exception that explains the problem? It's going to create a NullPointerException later on, which will be confusing.
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