+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
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