[SPARK-2024] Add saveAsSequenceFile to PySpark

JIRA issue: https://issues.apache.org/jira/browse/SPARK-2024

This PR is a followup to #455 and adds capabilities for saving PySpark RDDs using SequenceFile or any Hadoop OutputFormats.

* Added RDD methods ```saveAsSequenceFile```, ```saveAsHadoopFile``` and ```saveAsHadoopDataset```, for both old and new MapReduce APIs.

* Default converter for converting common data types to Writables. Users may specify custom converters to convert to desired data types.

* No out-of-box support for reading/writing arrays, since ArrayWritable itself doesn't have a no-arg constructor for creating an empty instance upon reading. Users need to provide ArrayWritable subtypes. Custom converters for converting arrays to suitable ArrayWritable subtypes are also needed when writing. When reading, the default converter will convert any custom ArrayWritable subtypes to ```Object[]``` and they get pickled to Python tuples.

* Added HBase and Cassandra output examples to show how custom output formats and converters can be used.

cc @MLnick @mateiz @ahirreddy @pwendell
You are absolutely right. I fixed it by passing in a flag from the caller, since PythonRDD is not always created (e.g., in ```sc.parallelize()```). It also helped me finding a bug in ```_toPickleSerialization()```. Let me know if you have any further comments. Thx.

This issue may also affect ```PythonRDD.pythonToJavaMap()``` used by SchemaRDD. @davies , it might be relevant to your namedtuple work.