You can do the following. Start the spark-shell. Register the UDFs in the shell using sqlContext, then start the Thrift Server using startWithContext from the spark shell: https://github.com/apache/spark/blob/master/sql/hive-thriftserver/src/main/scala/org/apache/spark/sql/hive/thriftserver/HiveThriftServer2.scala#L56
Regards Deenar On 23 October 2015 at 01:15, Dave Moyers <davemoy...@icloud.com> wrote: > Hi, > > We have several udf's written in Scala that we use within jobs submitted > into Spark. They work perfectly with the sqlContext after being registered. > We also allow access to saved tables via the Hive Thrift server bundled > with Spark. However, we would like to allow Hive connections to use the > udf's in their queries against the saved tables. Is there a way to register > udf's such that they can be used within both a Spark job and in a Hive > connection? > > Thanks! > Dave > > Sent from my iPad > --------------------------------------------------------------------- > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org > For additional commands, e-mail: user-h...@spark.apache.org > >
