Since you're using YARN, you should be able to download a Spark 1.3.0 tarball from Spark's website and use spark-submit from that installation to launch your app against the YARN cluster.
So effectively you would have 1.2.0 and 1.3.0 side-by-side in your cluster. On Wed, Mar 18, 2015 at 11:09 AM, jaykatukuri <jkatuk...@apple.com> wrote: > Hi all, > I am trying to run my job which needs spark-sql_2.11-1.3.0.jar. > The cluster that I am running on is still on spark-1.2.0. > > I tried the following : > > spark-submit --class class-name --num-executors 100 --master yarn > application_jar--jars hdfs:///path/spark-sql_2.11-1.3.0.jar > hdfs:///input_data > > But, this did not work, I get an error that it is not able to find a > class/method that is in spark-sql_2.11-1.3.0.jar . > > org.apache.spark.sql.SQLContext.implicits()Lorg/apache/spark/sql/SQLContext$implicits$ > > The question in general is how do we use a different version of spark jars > (spark-core, spark-sql, spark-ml etc) than the one's running on a cluster ? > > Thanks, > Jay > > > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/Using-a-different-spark-jars-than-the-one-on-the-cluster-tp22125.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 > -- Marcelo --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
