Spark in Oozie Workflow throws Class not found Exception - apache-spark

]1
Hue 3.10
Spark 1.6.0
CDH 5.8.0
When i run jar using spark-submit command it works fine but using hue workflow it gives me an error.
`java.lang.ClassNotFoundException: RowCountFilter
at java.net.URLClassLoader$1.run(URLClassLoader.java:366)
at java.net.URLClassLoader$1.run(URLClassLoader.java:355)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:354)
at java.lang.ClassLoader.loadClass(ClassLoader.java:425)
at java.lang.ClassLoader.loadClass(ClassLoader.java:358)
at java.lang.Class.forName0(Native Method)
at java.lang.Class.forName(Class.java:270)
at org.apache.spark.util.Utils$.classForName(Utils.scala:175)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:689)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
at org.apache.oozie.action.hadoop.SparkMain.runSpark(SparkMain.java:256)
at org.apache.oozie.action.hadoop.SparkMain.run(SparkMain.java:207)
at org.apache.oozie.action.hadoop.LauncherMain.run(LauncherMain.java:49)
at org.apache.oozie.action.hadoop.SparkMain.main(SparkMain.java:52)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.oozie.action.hadoop.LauncherMapper.map(LauncherMapper.java:236)
at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:54)
at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:453)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:343)
at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:164)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:415)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1693)
at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:158)
Intercepting System.exit(101)
Failing Oozie Launcher, Main class [org.apache.oozie.action.hadoop.SparkMain], exit code [101]
`
>
Can anyone help what is missing ?

Please share your job.properties & coordinator.properties file. check the lib path oozie.libpath in these files and see if the required jar is present.
When oozie triggers a job , it will check the jars in the lib path distribute the to all the nodes in the cluster for execution.
You may also want to verify the configs in oozie-site.xml

Related

Spark 2 action fails in oozie workflow: ./assembly/target/scala-2.11/jars' does not exist; make sure Spark is built

I am able to run my spark job with spark-submit, but am not able to run it from an oozie workflow.
I get the following output error:
`java.lang.IllegalStateException: Library directory '/mnt/resource/hadoop/yarn/local/usercache/sshuser/appcache/application_1521646255340_0010/container_1521646255340_0010_01_000002/./assembly/target/scala-2.11/jars' does not exist; make sure Spark is built.
at org.apache.spark.launcher.CommandBuilderUtils.checkState(CommandBuilderUtils.java:260)
at org.apache.spark.launcher.CommandBuilderUtils.findJarsDir(CommandBuilderUtils.java:359)
at org.apache.spark.launcher.YarnCommandBuilderUtils$.findJarsDir(YarnCommandBuilderUtils.scala:38)
at org.apache.spark.deploy.yarn.Client.prepareLocalResources(Client.scala:556)
at org.apache.spark.deploy.yarn.Client.createContainerLaunchContext(Client.scala:845)
at org.apache.spark.deploy.yarn.Client.submitApplication(Client.scala:170)
at org.apache.spark.deploy.yarn.Client.run(Client.scala:1174)
at org.apache.spark.deploy.yarn.Client$.main(Client.scala:1233)
at org.apache.spark.deploy.yarn.Client.main(Client.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:782)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:119)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
at org.apache.oozie.action.hadoop.SparkMain.runSpark(SparkMain.java:312)
at org.apache.oozie.action.hadoop.SparkMain.run(SparkMain.java:233)
at org.apache.oozie.action.hadoop.LauncherMain.run(LauncherMain.java:58)
at org.apache.oozie.action.hadoop.SparkMain.main(SparkMain.java:62)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.oozie.action.hadoop.LauncherMapper.map(LauncherMapper.java:242)
at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:54)
at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:453)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:343)
at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:170)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1866)
at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:164)`
I have followed these instructions: https://docs.hortonworks.com/HDPDocuments/HDP2/HDP-2.6.0/bk_spark-component-guide/content/ch_oozie-spark-action.html#spark-config-oozie-spark2

Error starting spark-jobserver with Apache Spark 2.0.2

I'm trying to start the spark-jobserver. I can't find any reference to this akka library on the installation steps provided on the GitHub spark_jobserver page.
I'm running spark in standalone mode on a single server which act as a master/node.
But when I execute
./job-server/server_start.sh
it shows the following error:
error while starting up loggers
akka.ConfigurationException: Logger specified in config can't be loaded [akka.event.slf4j.Slf4jLogger] due to [java.lang.ClassNotFoundException: akka.event.slf4j.Slf4jLogger]
at akka.event.LoggingBus$$anonfun$4$$anonfun$apply$1.applyOrElse(Logging.scala:116)
at akka.event.LoggingBus$$anonfun$4$$anonfun$apply$1.applyOrElse(Logging.scala:115)
at scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:36)
at scala.util.Failure$$anonfun$recover$1.apply(Try.scala:216)
at scala.util.Try$.apply(Try.scala:192)
at scala.util.Failure.recover(Try.scala:216)
at akka.event.LoggingBus$$anonfun$4.apply(Logging.scala:115)
at akka.event.LoggingBus$$anonfun$4.apply(Logging.scala:110)
at scala.collection.TraversableLike$WithFilter$$anonfun$map$2.apply(TraversableLike.scala:683)
at scala.collection.Iterator$class.foreach(Iterator.scala:893)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
at scala.collection.TraversableLike$WithFilter.map(TraversableLike.scala:682)
at akka.event.LoggingBus$class.startDefaultLoggers(Logging.scala:110)
at akka.event.EventStream.startDefaultLoggers(EventStream.scala:26)
at akka.actor.LocalActorRefProvider.init(ActorRefProvider.scala:623)
at akka.remote.RemoteActorRefProvider.init(RemoteActorRefProvider.scala:157)
at akka.cluster.ClusterActorRefProvider.init(ClusterActorRefProvider.scala:58)
at akka.actor.ActorSystemImpl.liftedTree2$1(ActorSystem.scala:620)
at akka.actor.ActorSystemImpl._start$lzycompute(ActorSystem.scala:617)
at akka.actor.ActorSystemImpl._start(ActorSystem.scala:617)
at akka.actor.ActorSystemImpl.start(ActorSystem.scala:634)
at akka.actor.ActorSystem$.apply(ActorSystem.scala:142)
at akka.actor.ActorSystem$.apply(ActorSystem.scala:119)
at spark.jobserver.JobServer$.spark$jobserver$JobServer$$makeSupervisorSystem$1(JobServer.scala:154)
at spark.jobserver.JobServer$$anonfun$main$1.apply(JobServer.scala:156)
at spark.jobserver.JobServer$$anonfun$main$1.apply(JobServer.scala:156)
at spark.jobserver.JobServer$.start(JobServer.scala:54)
at spark.jobserver.JobServer$.main(JobServer.scala:156)
at spark.jobserver.JobServer.main(JobServer.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:736)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:185)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:210)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:124)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.lang.ClassNotFoundException: akka.event.slf4j.Slf4jLogger
at java.net.URLClassLoader$1.run(URLClassLoader.java:366)
at java.net.URLClassLoader$1.run(URLClassLoader.java:355)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:354)
at java.lang.ClassLoader.loadClass(ClassLoader.java:425)
at java.lang.ClassLoader.loadClass(ClassLoader.java:358)
at java.lang.Class.forName0(Native Method)
at java.lang.Class.forName(Class.java:274)
at akka.actor.ReflectiveDynamicAccess$$anonfun$getClassFor$1.apply(DynamicAccess.scala:67)
at akka.actor.ReflectiveDynamicAccess$$anonfun$getClassFor$1.apply(DynamicAccess.scala:66)
at scala.util.Try$.apply(Try.scala:192)
at akka.actor.ReflectiveDynamicAccess.getClassFor(DynamicAccess.scala:66)
at akka.event.LoggingBus$$anonfun$4.apply(Logging.scala:113)
... 33 more
Exception in thread "main" akka.ConfigurationException: Could not start logger due to [akka.ConfigurationException: Logger specified in config can't be loaded [akka.event.slf4j.Slf4jLogger] due to [java.lang.ClassNotFoundException: akka.event.slf4j.Slf4jLogger]]
at akka.event.LoggingBus$class.startDefaultLoggers(Logging.scala:144)
at akka.event.EventStream.startDefaultLoggers(EventStream.scala:26)
at akka.actor.LocalActorRefProvider.init(ActorRefProvider.scala:623)
at akka.remote.RemoteActorRefProvider.init(RemoteActorRefProvider.scala:157)
at akka.cluster.ClusterActorRefProvider.init(ClusterActorRefProvider.scala:58)
at akka.actor.ActorSystemImpl.liftedTree2$1(ActorSystem.scala:620)
at akka.actor.ActorSystemImpl._start$lzycompute(ActorSystem.scala:617)
at akka.actor.ActorSystemImpl._start(ActorSystem.scala:617)
at akka.actor.ActorSystemImpl.start(ActorSystem.scala:634)
at akka.actor.ActorSystem$.apply(ActorSystem.scala:142)
at akka.actor.ActorSystem$.apply(ActorSystem.scala:119)
at spark.jobserver.JobServer$.spark$jobserver$JobServer$$makeSupervisorSystem$1(JobServer.scala:154)
at spark.jobserver.JobServer$$anonfun$main$1.apply(JobServer.scala:156)
at spark.jobserver.JobServer$$anonfun$main$1.apply(JobServer.scala:156)
at spark.jobserver.JobServer$.start(JobServer.scala:54)
at spark.jobserver.JobServer$.main(JobServer.scala:156)
at spark.jobserver.JobServer.main(JobServer.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:736)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:185)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:210)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:124)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Two steps to solve this issue:
The spark-job-server.jar created after execute ./bin/server_package.sh < enviroment> it have to be moved to the jars folder located on $SPARK_HOME
Nevertheless I had to download akka-slf4j_2.11.0-RC3-2.3.0.jar and put it on the $SPARK_HOME/jars folder too.

Hive On Spark: java.lang.NoClassDefFoundError: org/apache/hive/spark/client/Job

When I ran a query on hive console in debug mode, I got an error as listed below. I'm using hive-1.2.1 and spark 1.5.1; I checked the hive-exec jar, which has the class definition org/apache/hive/spark/client/Job .
Caused by: java.lang.NoClassDefFoundError: org/apache/hive/spark/client/Job
at java.lang.ClassLoader.defineClass1(Native Method)
at java.lang.ClassLoader.defineClass(ClassLoader.java:792)
at java.security.SecureClassLoader.defineClass(SecureClassLoader.java:142)
at java.net.URLClassLoader.defineClass(URLClassLoader.java:449)
at java.net.URLClassLoader.access$100(URLClassLoader.java:71)
at java.net.URLClassLoader$1.run(URLClassLoader.java:361)
at java.net.URLClassLoader$1.run(URLClassLoader.java:355)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:354)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:308)
at java.lang.ClassLoader.loadClass(ClassLoader.java:411)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
at java.lang.Class.forName0(Native Method)
at java.lang.Class.forName(Class.java:270)
at org.apache.hive.com.esotericsoftware.kryo.util.DefaultClassResolver.readName(DefaultClassResolver.java:136)
at org.apache.hive.com.esotericsoftware.kryo.util.DefaultClassResolver.readClass(DefaultClassResolver.java:115)
at org.apache.hive.com.esotericsoftware.kryo.Kryo.readClass(Kryo.java:656)
at org.apache.hive.com.esotericsoftware.kryo.serializers.ObjectField.read(ObjectField.java:99)
at org.apache.hive.com.esotericsoftware.kryo.serializers.FieldSerializer.read(FieldSerializer.java:507)
at org.apache.hive.com.esotericsoftware.kryo.Kryo.readClassAndObject(Kryo.java:776)
at org.apache.hive.spark.client.rpc.KryoMessageCodec.decode(KryoMessageCodec.java:96)
at io.netty.handler.codec.ByteToMessageCodec$1.decode(ByteToMessageCodec.java:42)
at io.netty.handler.codec.ByteToMessageDecoder.callDecode(ByteToMessageDecoder.java:327)
... 15 more*
And finally the query fails with:
"ERROR spark.SparkTask: Failed to execute spark task, with exception 'java.lang.IllegalStateException(RPC channel is closed.)'"*
How can I resolve this issue?
In hive-1.2.1 pom.xml, the spark.version is 1.3.1
So, The easy way is dowload a spark-1.3.1-bin-hadoop from spark.apache.org.
then, add it's path to hive-site.xml like:
<property>
<name>spark.home</name>
<value>/path/spark-1.3.1-bin-hadoop2.4</value>
</property>

PhoenixOutputFormat not found when running a Spark Job on CDH 5.4 with Phoenix 4.5

I managed to configure Phoenix 4.5 on Cloudera CDH 5.4 by recompiling the source code. sqlline.py works well, but there are problems with spark.
spark-submit --class my.JobRunner \
--master yarn --deploy-mode client \
--jars `ls -dm /myapp/lib/* | tr -d ' \r\n'` \
/myapp/mainjar.jar
The /myapp/lib folders contains the phoenix core lib, which contains class org.apache.phoenix.mapreduce.PhoenixOutputFormat. But it seems that the driver/executor cannot see it.
Exception in thread "main" java.lang.RuntimeException: java.lang.ClassNotFoundException: Class org.apache.phoenix.mapreduce.PhoenixOutputFormat not found
at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:2112)
at org.apache.hadoop.mapreduce.task.JobContextImpl.getOutputFormatClass(JobContextImpl.java:232)
at org.apache.spark.rdd.PairRDDFunctions.saveAsNewAPIHadoopDataset(PairRDDFunctions.scala:971)
at org.apache.spark.rdd.PairRDDFunctions.saveAsNewAPIHadoopFile(PairRDDFunctions.scala:903)
at org.apache.phoenix.spark.ProductRDDFunctions.saveToPhoenix(ProductRDDFunctions.scala:51)
at com.mypackage.save(DAOImpl.scala:41)
at com.mypackage.ProtoStreamingJob.execute(ProtoStreamingJob.scala:58)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at com.mypackage.SparkApplication.sparkRun(SparkApplication.scala:95)
at com.mypackage.SparkApplication$delayedInit$body.apply(SparkApplication.scala:112)
at scala.Function0$class.apply$mcV$sp(Function0.scala:40)
at scala.runtime.AbstractFunction0.apply$mcV$sp(AbstractFunction0.scala:12)
at scala.App$$anonfun$main$1.apply(App.scala:71)
at scala.App$$anonfun$main$1.apply(App.scala:71)
at scala.collection.immutable.List.foreach(List.scala:318)
at scala.collection.generic.TraversableForwarder$class.foreach(TraversableForwarder.scala:32)
at scala.App$class.main(App.scala:71)
at com.mypackage.SparkApplication.main(SparkApplication.scala:15)
at com.mypackage.ProtoStreamingJobRunner.main(ProtoStreamingJob.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:569)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:166)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:189)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:110)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.lang.ClassNotFoundException: Class org.apache.phoenix.mapreduce.PhoenixOutputFormat not found
at org.apache.hadoop.conf.Configuration.getClassByName(Configuration.java:2018)
at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:2110)
... 30 more
What can I do to overcome this exception?
Adding phoenix-core to classpath.txt solves the problem. This file is usually located under /etc/spark/conf folder.

Error in setting up Apache Spark on Windows

I have a Hortonwork Hadoop cluster installed on my Windows machine (version: 2.6.0.2.2.4.2-0002) and I downloaded the Spark 1.4.0 for hadoop 2.6 and later. I haven't changed any settings in my windows environment. When I run the spark-shell command I get the following error message:
Exception in thread "main" java.lang.NoClassDefFoundError: scala/reflect/internal/util/AbstractFileClassLoader
at java.lang.ClassLoader.defineClass1(Native Method)
at java.lang.ClassLoader.defineClass(ClassLoader.java:800)
at java.security.SecureClassLoader.defineClass(SecureClassLoader.java:142)
at java.net.URLClassLoader.defineClass(URLClassLoader.java:449)
at java.net.URLClassLoader.access$100(URLClassLoader.java:71)
at java.net.URLClassLoader$1.run(URLClassLoader.java:361)
at java.net.URLClassLoader$1.run(URLClassLoader.java:355)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:354)
at java.lang.ClassLoader.loadClass(ClassLoader.java:425)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:308)
at java.lang.ClassLoader.loadClass(ClassLoader.java:358)
at org.apache.spark.repl.Main$.main(Main.scala:30)
at org.apache.spark.repl.Main.main(Main.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:664)
I have the scala installed and I have the SCALA_HOME=c:\scala\bin.
I've seen a set of changes that I need to make (e.g. adding some enviromental variable. etc) here and there but neither looks to be complete and didn't make my spark cluster working. I wonder to now the set of required changes I need to make in order to make my spark cluster up and running.

Resources