You shouldn't need to do anything special. Are you using a named context? I'm not sure those work with SparkSqlJob.
By the way, there is a forum on Google groups for the Spark Job Server: https://groups.google.com/forum/#!forum/spark-jobserver On Thu, Apr 2, 2015 at 5:10 AM, Harika <matha.har...@gmail.com> wrote: > Hi, > > I am trying to Spark Jobserver( > https://github.com/spark-jobserver/spark-jobserver > <https://github.com/spark-jobserver/spark-jobserver> ) for running Spark > SQL jobs. > > I was able to start the server but when I run my application(my Scala class > which extends SparkSqlJob), I am getting the following as response: > > { > "status": "ERROR", > "result": "Invalid job type for this context" > } > > Can any one suggest me what is going wrong or provide a detailed procedure > for setting up jobserver for SparkSQL? > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/Setup-Spark-jobserver-for-Spark-SQL-tp22352.html > Sent from the Apache Spark User List mailing list archive at Nabble.com. > > --------------------------------------------------------------------- > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org > For additional commands, e-mail: user-h...@spark.apache.org > >
