Reece 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 19 October 2015 at 04:42, Mohammed Guller <moham...@glassbeam.com> wrote: > Have you tried registering the function using the Beeline client? > > Another alternative would be to create a Spark SQL UDF and launch the > Spark SQL Thrift server programmatically. > > Mohammed > > -----Original Message----- > From: ReeceRobinson [mailto:re...@therobinsons.gen.nz] > Sent: Sunday, October 18, 2015 8:05 PM > To: user@spark.apache.org > Subject: Spark SQL Thriftserver and Hive UDF in Production > > Does anyone have some advice on the best way to deploy a Hive UDF for use > with a Spark SQL Thriftserver where the client is Tableau using Simba ODBC > Spark SQL driver. > > I have seen the hive documentation that provides an example of creating > the function using a hive client ie: CREATE FUNCTION myfunc AS 'myclass' > USING JAR 'hdfs:///path/to/jar'; > > However using Tableau I can't run this create function statement to > register my UDF. Ideally there is a configuration setting that will load my > UDF jar and register it at start-up of the thriftserver. > > Can anyone tell me what the best option if it is possible? > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/Spark-SQL-Thriftserver-and-Hive-UDF-in-Production-tp25114.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 > > > --------------------------------------------------------------------- > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org > For additional commands, e-mail: user-h...@spark.apache.org > >
