Marco, Hortonworks provides a Tech Preview of Spark 0.9.1 with HDP 2.1 that you can try from http://hortonworks.com/wp-content/uploads/2014/05/SparkTechnicalPreview.pdf HDP 2.1 means YARN, at the same time they propose ti install rpm
On other hand, http://spark.apache.org/ said " Integrated with Hadoop Spark can run on Hadoop 2's YARN cluster manager, and can read any existing Hadoop data. If you have a Hadoop 2 cluster, you can run Spark without any installation needed. " And this is confusing for me... do I need rpm installation on not?... Thank you, Konstantin Kudryavtsev On Sun, Jul 6, 2014 at 10:56 PM, Marco Shaw <marco.s...@gmail.com> wrote: > Can you provide links to the sections that are confusing? > > My understanding, the HDP1 binaries do not need YARN, while the HDP2 > binaries do. > > Now, you can also install Hortonworks Spark RPM... > > For production, in my opinion, RPMs are better for manageability. > > On Jul 6, 2014, at 5:39 PM, Konstantin Kudryavtsev < > kudryavtsev.konstan...@gmail.com> wrote: > > Hello, thanks for your message... I'm confused, Hortonworhs suggest > install spark rpm on each node, but on Spark main page said that yarn > enough and I don't need to install it... What the difference? > > sent from my HTC > On Jul 6, 2014 8:34 PM, "vs" <vinayshu...@gmail.com> wrote: > >> Konstantin, >> >> HWRK provides a Tech Preview of Spark 0.9.1 with HDP 2.1 that you can try >> from >> >> http://hortonworks.com/wp-content/uploads/2014/05/SparkTechnicalPreview.pdf >> >> Let me know if you see issues with the tech preview. >> >> "spark PI example on HDP 2.0 >> >> I downloaded spark 1.0 pre-build from >> http://spark.apache.org/downloads.html >> (for HDP2) >> The run example from spark web-site: >> ./bin/spark-submit --class org.apache.spark.examples.SparkPi --master >> yarn-cluster --num-executors 3 --driver-memory 2g --executor-memory 2g >> --executor-cores 1 ./lib/spark-examples-1.0.0-hadoop2.2.0.jar 2 >> >> I got error: >> Application application_1404470405736_0044 failed 3 times due to AM >> Container for appattempt_1404470405736_0044_000003 exited with exitCode: 1 >> due to: Exception from container-launch: >> org.apache.hadoop.util.Shell$ExitCodeException: >> at org.apache.hadoop.util.Shell.runCommand(Shell.java:464) >> at org.apache.hadoop.util.Shell.run(Shell.java:379) >> at >> org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:589) >> at >> >> org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:195) >> at >> >> org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:283) >> at >> >> org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:79) >> at java.util.concurrent.FutureTask.run(FutureTask.java:262) >> at >> >> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) >> at >> >> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) >> at java.lang.Thread.run(Thread.java:744) >> .Failing this attempt.. Failing the application. >> >> Unknown/unsupported param List(--executor-memory, 2048, --executor-cores, >> 1, >> --num-executors, 3) >> Usage: org.apache.spark.deploy.yarn.ApplicationMaster [options] >> Options: >> --jar JAR_PATH Path to your application's JAR file (required) >> --class CLASS_NAME Name of your application's main class (required) >> ...bla-bla-bla >> " >> >> >> >> -- >> View this message in context: >> http://apache-spark-user-list.1001560.n3.nabble.com/Unable-to-run-Spark-1-0-SparkPi-on-HDP-2-0-tp8802p8873.html >> Sent from the Apache Spark User List mailing list archive at Nabble.com. >> >
