Add all your jars like this and pass it to the SparkContext
List<String> *jars* =
> Lists.newArrayList("/home/akhld/mobi/localcluster/x/spark-0.9.1-bin-hadoop2/assembly/target/scala-2.10/spark-assembly-0.9.1-hadoop2.2.0.jar",
>
> "/home/akhld/mobi/localcluster/codes/pig/build/ivy/lib/Pig/twitter4j-core-3.0.3.jar",
>
> "/home/akhld/mobi/localcluster/codes/pig/build/ivy/lib/Pig/twitter4j-stream-3.0.3.jar",
> "/home/akhld/mobi/workspace2014/TwitterStreamer/bin/tstream.jar");
> SparkConf spconf = new SparkConf();
> spconf.setMaster("local[2]");
> spconf.setAppName("TwitterStreamer");
>
> spconf.setSparkHome("/home/akhld/mobi/localcluster/x/spark-0.9.1-bin-hadoop2");
>
> * spconf.setJars(jars.toArray(new String[jars.size()]));*
> spconf.set("spark.executor.memory",
> "1g");
> final JavaSparkContext ssc = new JavaSparkContext(spconf,new
> Duration(1000));
>
Thanks
Best Regards
On Thu, Jul 3, 2014 at 3:01 PM, Kevin Jung <itsjb.j...@samsung.com> wrote:
> I found a web page for hint.
> http://ardoris.wordpress.com/2014/03/30/how-spark-does-class-loading/
> I learned SparkIMain has internal httpserver to publish class object but
> can't figure out how I use it in java.
> Any ideas?
>
> Thanks,
> Kevin
>
>
>
> --
> View this message in context:
> http://apache-spark-user-list.1001560.n3.nabble.com/Case-class-in-java-tp8720p8724.html
> Sent from the Apache Spark User List mailing list archive at Nabble.com.
>
