In the beginning I tried to read HBase and found that exception was thrown,
then I start to debug the app. I removed the codes reading HBase and tried
to save an rdd containing a list and the exception was still thrown. So I'm
sure that exception was not caused by reading HBase.
While debugging I did not change the object name and file name.
2014-10-13 0:00 GMT+08:00 Ted Yu <yuzhih...@gmail.com>:
> Your app is named scala.HBaseApp
> Does it read / write to HBase ?
>
> Just curious.
>
> On Sun, Oct 12, 2014 at 8:00 AM, Tao Xiao <xiaotao.cs....@gmail.com>
> wrote:
>
>> Hi all,
>>
>> I'm using CDH 5.0.1 (Spark 0.9) and submitting a job in Spark Standalone
>> Cluster mode.
>>
>> The job is quite simple as follows:
>>
>> object HBaseApp {
>> def main(args:Array[String]) {
>> testHBase("student", "/test/xt/saveRDD")
>> }
>>
>>
>> def testHBase(tableName: String, outFile:String) {
>> val sparkConf = new SparkConf()
>> .setAppName("-- Test HBase --")
>> .set("spark.executor.memory", "2g")
>> .set("spark.cores.max", "16")
>>
>> val sparkContext = new SparkContext(sparkConf)
>>
>> val rdd = sparkContext.parallelize(List(1,2,3,4,5,6,7,8,9,10), 3)
>>
>> val c = rdd.count // successful
>> println("\n\n\n" + c + "\n\n\n")
>>
>> rdd.saveAsTextFile(outFile) // This line will throw
>> "java.lang.ClassNotFoundException:
>> com.xt.scala.HBaseApp$$anonfun$testHBase$1"
>>
>> println("\n down \n")
>> }
>> }
>>
>> I submitted this job using the following script:
>>
>> #!/bin/bash
>>
>> HBASE_CLASSPATH=$(hbase classpath)
>> APP_JAR=/usr/games/spark/xt/SparkDemo-0.0.1-SNAPSHOT.jar
>>
>> SPARK_ASSEMBLY_JAR=/usr/games/spark/xt/spark-assembly_2.10-0.9.0-cdh5.0.1-hadoop2.3.0-cdh5.0.1.jar
>> SPARK_MASTER=spark://b02.jsepc.com:7077
>>
>> CLASSPATH=$CLASSPATH:$APP_JAR:$SPARK_ASSEMBLY_JAR:$HBASE_CLASSPATH
>> export SPARK_CLASSPATH=/usr/lib/hbase/lib/*
>>
>> CONFIG_OPTS="-Dspark.master=$SPARK_MASTER"
>>
>> java -cp $CLASSPATH $CONFIG_OPTS com.xt.scala.HBaseApp $@
>>
>> After I submitted the job, the count of rdd could be computed
>> successfully, but that rdd could not be saved into HDFS and the following
>> exception was thrown:
>>
>> 14/10/11 16:09:33 WARN scheduler.TaskSetManager: Loss was due to
>> java.lang.ClassNotFoundException
>> java.lang.ClassNotFoundException:
>> com.xt.scala.HBaseApp$$anonfun$testHBase$1
>> 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.serializer.JavaDeserializationStream$$anon$1.resolveClass(JavaSerializer.scala:37)
>> at
>> java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1612)
>> at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1517)
>> at
>> java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1771)
>> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
>> at
>> java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990)
>> at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915)
>> at
>> java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
>> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
>> at
>> java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990)
>> at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915)
>> at
>> java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
>> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
>> at java.io.ObjectInputStream.readObject(ObjectInputStream.java:370)
>> at scala.collection.immutable.$colon$colon.readObject(List.scala:362)
>> 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
>> java.io.ObjectStreamClass.invokeReadObject(ObjectStreamClass.java:1017)
>> at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1893)
>> at
>> java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
>> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
>> at
>> java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990)
>> at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915)
>> at
>> java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
>> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
>> at java.io.ObjectInputStream.readObject(ObjectInputStream.java:370)
>> at
>> org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:40)
>> at
>> org.apache.spark.scheduler.ResultTask$.deserializeInfo(ResultTask.scala:63)
>> at
>> org.apache.spark.scheduler.ResultTask.readExternal(ResultTask.scala:139)
>> at
>> java.io.ObjectInputStream.readExternalData(ObjectInputStream.java:1837)
>> at
>> java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1796)
>> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
>> at java.io.ObjectInputStream.readObject(ObjectInputStream.java:370)
>> at
>> org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:40)
>> at
>> org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:62)
>> at
>> org.apache.spark.executor.Executor$TaskRunner$$anonfun$run$1.apply$mcV$sp(Executor.scala:195)
>> at
>> org.apache.spark.deploy.SparkHadoopUtil$$anon$1.run(SparkHadoopUtil.scala:42)
>> at
>> org.apache.spark.deploy.SparkHadoopUtil$$anon$1.run(SparkHadoopUtil.scala:41)
>> at java.security.AccessController.doPrivileged(Native Method)
>> at javax.security.auth.Subject.doAs(Subject.java:415)
>> at
>> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1548)
>> at
>> org.apache.spark.deploy.SparkHadoopUtil.runAsUser(SparkHadoopUtil.scala:41)
>> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:178)
>> at
>> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
>> at
>> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
>> at java.lang.Thread.run(Thread.java:744)
>>
>>
>>
>> I also noted that, if I add "-Dspark.jars=$APP_JAR" to the variable
>> *CONFIG_OPTS*, i.e., CONFIG_OPTS="-Dspark.master=$SPARK_MASTER
>> Dspark.jars=$APP_JAR", the job will finish successfully and rdd can be
>> written into HDFS.
>> So, what does "java.lang.ClassNotFoundException:
>> com.xt.scala.HBaseApp$$anonfun$testHBase$1" mean and why would it be
>> thrown ?
>>
>> Thanks
>>
>>
>
