I am trying to use the spark-jdbc package to access an impala table via a spark data frame. From my understanding (https://issues.apache.org/jira/browse/SPARK-12312) When loading DataFrames from JDBC datasource with Kerberos authentication, remote executors (yarn-client/cluster etc. modes) fail to establish a connection due to lack of Kerberos ticket or ability to generate it. I found a solution to this issue by creating an jdbc driver which properly handles kerberos authenticatation (https://datamountaineer.com/2016/01/15/spark-jdbc-sql-server-kerberos/). However I cannot find the source the impala jdbc driver online. Should I just use a hive driver to enable kerberos authentication for impala, or is there a location where I can find the impala jdbc driver source. Also is the ticket listed above SPARK-12312 accurate, or is there an out of the box way for me to connect to a kerberized impala using sqlContext.load("jdbc",options) without having to rewrite the impala driver?
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