[SPARK-4026][Streaming] Write ahead log management

As part of the effort to avoid data loss on Spark Streaming driver failure, we want to implement a write ahead log that can write received data to HDFS. This allows the received data to be persist across driver failures. So when the streaming driver is restarted, it can find and reprocess all the data that were received but not processed.

This was primarily implemented by @harishreedharan. This is still WIP, as he is going to improve the unitests by using HDFS mini cluster.
Nice Scala one-liner :)

Why do we need this reflection, though?  Is this necessary to support multiple Hadoop versions?  If so, could you add a one-line comment to explain this?