HiveContext is not used with keytab principal but with user principal/unix username

`bin/spark-submit --num-executors 1 --executor-cores 5 --executor-memory 5G --driver-java-options -XX:MaxPermSize=4G --driver-class-path lib/datanucleus-api-jdo-3.2.6.jar:lib/datanucleus-core-3.2.10.jar:lib/datanucleus-rdbms-3.2.9.jar:conf/hive-site.xml --files conf/hive-site.xml --master yarn --principal sparkjob --keytab /etc/security/keytabs/sparkjob.keytab --conf spark.yarn.executor.memoryOverhead=18000 --conf "spark.executor.extraJavaOptions=-XX:MaxPermSize=4G" --conf spark.eventLog.enabled=false ~/test.py`

With:

#!/usr/bin/python
from pyspark import SparkContext
from pyspark.sql import HiveContext

sc = SparkContext()
sqlContext = HiveContext(sc)

query = """ SELECT * FROM fm.sk_cluster """
rdd = sqlContext.sql(query)

rdd.registerTempTable("test")
sqlContext.sql("CREATE TABLE wcs.test LOCATION '/tmp/test_gl' AS SELECT * FROM test")

Ends up with:

Caused by: org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.security.AccessControlException): Permission denie
d: user=ua80tl, access=READ_EXECUTE, inode="/tmp/test_gl/.hive-staging_hive_2015-08-24_10-43-09_157_78057390024057878
34-1/ext-10000":sparkjob:hdfs:drwxr-x--

(Our umask denies read access to other by default)