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From "Yin Huai (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-8368) ClassNotFoundException in closure for map
Date Wed, 17 Jun 2015 16:45:00 GMT

    [ https://issues.apache.org/jira/browse/SPARK-8368?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14590072#comment-14590072
] 

Yin Huai commented on SPARK-8368:
---------------------------------

Can you add {{--verbose}} and post the extra information like {{Main class:}} and {{Classpath
elements:}}? 

[~andrewor14] Have we changed any thing related to spark submit in 1.4.0?

> 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========
> {quote}
> 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)
> {quote}
> ===============end exception===========
> I simplify the code that cause this issue, as following:
> ==========begin code==================
> {noformat}
> object Model extends Serializable{
>   def main(args: Array[String]) {
>     val Array(sql) = 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
>       def fmap = ( input: Any ) => 1.0
>       val feature = arr.map(_=>1.0)
>       LabeledPoint(label, Vectors.dense(feature))
>     })
>     data.count()
>   }
> }
> {noformat}
> =====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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