I have hadoop cluster up using Ambari. It also allowed me to install Spark
1.3.1 and i can run sample spark application & Yarn application. So cluster
is up and running fine.
I got Zeppelin setup on a new box and was able to launch UI.
I modified spark interpreter to set
masteryarn-clientspark.app.nameZeppelinspark.cores.max
spark.driver.extraJavaOptions-Dhdp.version=2.3.1.0-2574spark.executor.memory
512mspark.home/usr/hdp/2.3.1.0-2574/sparkspark.yarn.am.extraJavaOptions
-Dhdp.version=2.3.1.0-2574spark.yarn.jar
/home/zeppelin/incubator-zeppelin/interpreter/spark/zeppelin-spark-0.6.0-incubating-SNAPSHOT.jar
zeppelin.dep.localrepolocal-repo
When i run a spark notebook
%spark
val ambariLogs =
sc.textFile("file:///var/log/ambari-agent/ambari-agent.log")
ambariLogs.take(10).mkString("\n")
(The location exists)
I see two exceptions in Zeppelin spark interpreter logs
ERROR [2015-08-03 13:30:50,262] ({pool-1-thread-2}
ProcessFunction.java[process]:41) - Internal error processing getProgress
java.lang.NoClassDefFoundError: Could not initialize class
org.apache.spark.deploy.yarn.YarnSparkHadoopUtil$
at
org.apache.spark.deploy.yarn.ClientArguments.<init>(ClientArguments.scala:38)
at
org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:55)
at
org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:141)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:381)
at
org.apache.zeppelin.spark.SparkInterpreter.createSparkContext(SparkInterpreter.java:301)
at
org.apache.zeppelin.spark.SparkInterpreter.getSparkContext(SparkInterpreter.java:146)
at
org.apache.zeppelin.spark.SparkInterpreter.open(SparkInterpreter.java:423)
at
org.apache.zeppelin.interpreter.ClassloaderInterpreter.open(ClassloaderInterpreter.java:74)
at
org.apache.zeppelin.interpreter.LazyOpenInterpreter.open(LazyOpenInterpreter.java:68)
at
org.apache.zeppelin.interpreter.LazyOpenInterpreter.getProgress(LazyOpenInterpreter.java:109)
at
org.apache.zeppelin.interpreter.remote.RemoteInterpreterServer.getProgress(RemoteInterpreterServer.java:298)
at
org.apache.zeppelin.interpreter.thrift.RemoteInterpreterService$Processor$getProgress.getResult(RemoteInterpreterService.java:1068)
at
org.apache.zeppelin.interpreter.thrift.RemoteInterpreterService$Processor$getProgress.getResult(RemoteInterpreterService.java:1053)
at org.apache.thrift.ProcessFunction.process(ProcessFunction.java:39)
at org.apache.thrift.TBaseProcessor.process(TBaseProcessor.java:39)
at
org.apache.thrift.server.TThreadPoolServer$WorkerProcess.run(TThreadPoolServer.java:206)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
AND
WARN [2015-08-03 13:30:50,085] ({pool-1-thread-2}
Logging.scala[logWarning]:71) - Service 'SparkUI' could not bind on port
4041. Attempting port 4042.
INFO [2015-08-03 13:30:50,112] ({pool-1-thread-2}
Server.java[doStart]:272) - jetty-8.y.z-SNAPSHOT
WARN [2015-08-03 13:30:50,123] ({pool-1-thread-2}
AbstractLifeCycle.java[setFailed]:204) - FAILED
SelectChannelConnector@0.0.0.0:4042: java.net.BindException: Address
already in use
java.net.BindException: Address already in use
at sun.nio.ch.Net.bind0(Native Method)
at sun.nio.ch.Net.bind(Net.java:444)
at sun.nio.ch.Net.bind(Net.java:436)
at sun.nio.ch.ServerSocketChannelImpl.bind(ServerSocketChannelImpl.java:214)
Any suggestions ?
On Mon, Aug 3, 2015 at 11:00 AM, ÐΞ€ρ@Ҝ (๏̯͡๏) <deepuj...@gmail.com> wrote:
> Thanks a lot for all these documents. Appreciate your effort & time.
>
> On Mon, Aug 3, 2015 at 10:15 AM, Christian Tzolov <ctzo...@pivotal.io>
> wrote:
>
>> ÐΞ€ρ@Ҝ (๏̯͡๏),
>>
>> I've successfully run Zeppelin with Spark on YARN. I'm using Ambari and
>> PivotalHD30. PHD30 is ODP compliant so you should be able to repeat the
>> configuration for HDP (e.g. hortonworks).
>>
>> 1. Before you start with Zeppelin, make sure that your Spark/YARN env.
>> works from the command line (e.g run Pi test). If it doesn't work make sure
>> that the hdp.version is set correctly or you can hardcode the stack.name
>> and stack.version properties as Ambari Custom yarn-site properties (that is
>> what i did).
>>
>> 2. Your Zeppelin should be build with proper Spark and Hadoop versions
>> and YARN support enabled. In my case used this build command:
>>
>> mvn clean package -Pspark-1.4 -Dspark.version=1.4.1
>> -Dhadoop.version=2.6.0 -Phadoop-2.6 -Pyarn -DskipTests -Pbuild-distr
>>
>> 3. Open the Spark interpreter configuration and set 'master' property to
>> 'yarn-client' ( e.g. master=yarn-client). then press Save.
>>
>> 4. In (conf/zeppelin-env.sh) set HADOOP_CONF_DIR for PHD and HDP it will
>> look like this:
>> export HADOOP_CONF_DIR=/etc/hadoop/conf
>>
>> 5. (optional) i've restarted the zeppelin daemon but i don't think this
>> is required.
>>
>> 6. Make sure that HDFS has /user/<zeppelin user> folder exists and has
>> HDFS write permissions. Otherwise you can create it like this:
>> sudo -u hdfs hdfs dfs -mkdir /user/<zeppelin user>
>> sudo -u hdfs hdfs dfs -chown -R <zeppelin user>t:hdfs /user/<zeppelin
>> user>
>>
>> Good to go!
>>
>> Cheers,
>> Christian
>>
>> On 3 August 2015 at 17:50, Vadla, Karthik <karthik.va...@intel.com>
>> wrote:
>>
>>> Hi Deepak,
>>>
>>>
>>>
>>> I have documented everything here.
>>>
>>> Please check published document.
>>>
>>>
>>> https://software.intel.com/sites/default/files/managed/bb/bf/Apache-Zeppelin.pdf
>>>
>>>
>>>
>>> Thanks
>>>
>>> Karthik Vadla
>>>
>>>
>>>
>>> *From:* ÐΞ€ρ@Ҝ (๏̯͡๏) [mailto:deepuj...@gmail.com]
>>> *Sent:* Sunday, August 2, 2015 9:25 PM
>>> *To:* users@zeppelin.incubator.apache.org
>>> *Subject:* Yarn + Spark + Zepplin ?
>>>
>>>
>>>
>>> Hello,
>>>
>>> I would like to try out Zepplin and hence i got a 7 node Hadoop cluster
>>> with spark history server setup. I am able to run sample spark applications
>>> on my YARN cluster.
>>>
>>>
>>>
>>> I have no clue how to get zepplin to connect to this YARN cluster. Under
>>> https://zeppelin.incubator.apache.org/docs/install/install.html i see MASTER
>>> to point to spark master. I do not have a spark master running.
>>>
>>>
>>>
>>> How do i get Zepplin to be able to read data from YARN cluster ? Please
>>> share documentation.
>>>
>>>
>>>
>>> Regards,
>>>
>>> Deepak
>>>
>>>
>>>
>>
>>
>>
>> --
>> Christian Tzolov <http://www.linkedin.com/in/tzolov> | Solution
>> Architect, EMEA Practice Team | Pivotal <http://pivotal.io/>
>> ctzo...@pivotal.io|+31610285517
>>
>
>
>
> --
> Deepak
>
>
--
Deepak
