+1  - I currently am doing what Marcelo is suggesting as I have a CDH 5.2
cluster (with Spark 1.1) and I'm also running Spark 1.3.0+ side-by-side in
my cluster.

On Wed, Mar 18, 2015 at 1:23 PM Marcelo Vanzin <van...@cloudera.com> wrote:

> 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
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> >
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>
>
>
> --
> Marcelo
>
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