[jira] [Created] (SPARK-8368) ClassNotFoundException in closure for map

["CHEN Zhiwei (JIRA)" <ji...@apache.org>]

CHEN Zhiwei created SPARK-8368:
----------------------------------

             Summary: ClassNotFoundException in closure for map 
                 Key: SPARK-8368
                 URL: https://issues.apache.org/jira/browse/SPARK-8368
             Project: Spark
          Issue Type: Bug
          Components: Spark Core
    Affects Versions: 1.4.0
         Environment: Centos 6.5, java 1.7.0_67, scala 2.10.4. Build the project on Windows 7 and run in a spark standalone cluster(or local) mode on Centos 6.X. 
            Reporter: CHEN Zhiwei


After upgraded the cluster from spark 1.3.0 to 1.4.0(rc4), I encountered the following exception:
======begin exception========
Exception in thread "main" java.lang.ClassNotFoundException: com.yhd.ycache.magic.Model$$anonfun$9$$anonfun$10
	at java.net.URLClassLoader$1.run(URLClassLoader.java:366)
	at java.net.URLClassLoader$1.run(URLClassLoader.java:355)
	at java.security.AccessController.doPrivileged(Native Method)
	at java.net.URLClassLoader.findClass(URLClassLoader.java:354)
	at java.lang.ClassLoader.loadClass(ClassLoader.java:425)
	at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:308)
	at java.lang.ClassLoader.loadClass(ClassLoader.java:358)
	at java.lang.Class.forName0(Native Method)
	at java.lang.Class.forName(Class.java:278)
	at org.apache.spark.util.InnerClosureFinder$$anon$4.visitMethodInsn(ClosureCleaner.scala:455)
	at com.esotericsoftware.reflectasm.shaded.org.objectweb.asm.ClassReader.accept(Unknown Source)
	at com.esotericsoftware.reflectasm.shaded.org.objectweb.asm.ClassReader.accept(Unknown Source)
	at org.apache.spark.util.ClosureCleaner$.getInnerClosureClasses(ClosureCleaner.scala:101)
	at org.apache.spark.util.ClosureCleaner$.org$apache$spark$util$ClosureCleaner$$clean(ClosureCleaner.scala:197)
	at org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:132)
	at org.apache.spark.SparkContext.clean(SparkContext.scala:1891)
	at org.apache.spark.rdd.RDD$$anonfun$map$1.apply(RDD.scala:294)
	at org.apache.spark.rdd.RDD$$anonfun$map$1.apply(RDD.scala:293)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:148)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:109)
	at org.apache.spark.rdd.RDD.withScope(RDD.scala:286)
	at org.apache.spark.rdd.RDD.map(RDD.scala:293)
	at org.apache.spark.sql.DataFrame.map(DataFrame.scala:1210)
	at com.yhd.ycache.magic.Model$.main(SSExample.scala:239)
	at com.yhd.ycache.magic.Model.main(SSExample.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)
	at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:169)
	at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:192)
	at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:111)
	at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
===============end exception===========

I simplify the code that cause this issue, as following:
==========begin code==================
object Model extends Serializable{
  def main(args: Array[String]) {
    val Array(sql/*,usePartition,numClasses_,  numTrees_,impurity_, maxDepth_, maxBins_*/) = args
    val sparkConf = new SparkConf().setAppName("Mode Example")
    val sc = new SparkContext(sparkConf)
    val hive = new HiveContext(sc)
    //get data by hive sql
    val rows = hive.sql(sql)

    val data = rows.map(r => {
      val arr = r.toSeq.toArray
      val label = 1.0 //string2Int(arr(r.length-1).toString).toDouble
      def fmap = (input: Any) => 1.0 //string2Int(input.toString).toDouble
      val feature = arr.map(_=>1.0)
      LabeledPoint(label, Vectors.dense(feature))
    })

    data.count()
  }
}
=====end code===========
This code can run pretty well on spark-shell, but error when submit it to spark cluster (standalone or local mode).  I try the same code on spark 1.3.0(local mode), and no exception is encountered.



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