Github user mccheah commented on the pull request:
https://github.com/apache/spark/pull/4106#issuecomment-75869488
And come to think of it - in Standalone mode the Spark driver also needs to
have the keytab file in the first place. In standalone mode, no matter what the
driver will need access to the keytab file and to access HDFS. That is required
for the driver's invoking HadoopRDD.getPartitions() and setting up Hadoop
writing in PairRDDFunctions.saveAsHadoopDataset(). There's no way around that.
But that implies that the user running the Spark job is already trusted to have
read-access to the keytab file in the first place.
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