Konstantin, 1. You need to install the hadoop rpms on all nodes. If it is Hadoop 2, the nodes would have hdfs & YARN. 2. Then you need to install Spark on all nodes. I haven't had experience with HDP, but the tech preview might have installed Spark as well. 3. In the end, one should have hdfs,yarn & spark installed on all the nodes. 4. After installations, check the web console to make sure hdfs, yarn & spark are running. 5. Then you are ready to start experimenting/developing spark applications.
HTH. Cheers <k/> On Mon, Jul 7, 2014 at 2:34 AM, Konstantin Kudryavtsev < kudryavtsev.konstan...@gmail.com> wrote: > guys, I'm not talking about running spark on VM, I don have problem with > it. > > I confused in the next: > 1) Hortonworks describe installation process as RPMs on each node > 2) spark home page said that everything I need is YARN > > And I'm in stucj with understanding what I need to do to run spark on yarn > (do I need RPMs installations or only build spark on edge node?) > > > Thank you, > Konstantin Kudryavtsev > > > On Mon, Jul 7, 2014 at 4:34 AM, Robert James <srobertja...@gmail.com> > wrote: > >> I can say from my experience that getting Spark to work with Hadoop 2 >> is not for the beginner; after solving one problem after another >> (dependencies, scripts, etc.), I went back to Hadoop 1. >> >> Spark's Maven, ec2 scripts, and others all use Hadoop 1 - not sure >> why, but, given so, Hadoop 2 has too many bumps >> >> On 7/6/14, Marco Shaw <marco.s...@gmail.com> wrote: >> > That is confusing based on the context you provided. >> > >> > This might take more time than I can spare to try to understand. >> > >> > For sure, you need to add Spark to run it in/on the HDP 2.1 express VM. >> > >> > Cloudera's CDH 5 express VM includes Spark, but the service isn't >> running by >> > default. >> > >> > I can't remember for MapR... >> > >> > Marco >> > >> >> On Jul 6, 2014, at 6:33 PM, Konstantin Kudryavtsev >> >> <kudryavtsev.konstan...@gmail.com> wrote: >> >> >> >> 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. >> >> >> > >> > >
