Spark 1.3.1 / Hadoop 2.6 prebuilt pacakge has broken S3 filesystem access

1. Download Spark 1.3.1 pre-built for Hadoop 2.6 from the Spark downloads page.
2. Add localhost to your slaves file and start-all.sh
3. Fire up PySpark and try reading from S3 with something like this:

   sc.textFile('s3n://bucket/file_*').count()

4. You will get an error like this:

   py4j.protocol.Py4JJavaError: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.collectAndServe.
   : java.io.IOException: No FileSystem for scheme: s3n

file:///... works. Spark 1.3.1 prebuilt for Hadoop 2.4 works. Spark 1.3.0 works.

It's just the combination of Spark 1.3.1 prebuilt for Hadoop 2.6 accessing S3 that doesn't work.