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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:25:19 UTC
[jira] [Updated] (SPARK-12277) Use sparkIMain to compile and
interpret string throw java.lang.ClassNotFoundException.
[ https://issues.apache.org/jira/browse/SPARK-12277?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon updated SPARK-12277:
---------------------------------
Labels: bulk-closed (was: )
> Use sparkIMain to compile and interpret string throw java.lang.ClassNotFoundException.
> ----------------------------------------------------------------------------------------
>
> Key: SPARK-12277
> URL: https://issues.apache.org/jira/browse/SPARK-12277
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 1.3.1
> Reporter: emma001
> Priority: Major
> Labels: bulk-closed
>
> The test code as follow:
> val scalaInstance = new SparkIMain()
> val ss = "object ScalaScript{ def execute(df1:org.apache.spark.sql.DataFrame,df2:org.apache.spark.sql.DataFrame): org.apache.spark.sql.DataFrame ={\n val tt = df2.rdd.map(t=>t(0)).collect()\n df1 \n}}"
> scalaInstance.compileString(ss )
> scalaInstance.bind("df1","org.apache.spark.sql.DataFrame",df1)
> scalaInstance.bind("df2","org.apache.spark.sql.DataFrame",df2)
> scalaInstance.interpret("val t= ScalaScript.execute(df1,df2)")
> ERROR Executor: Exception in task 0.0 in stage 1.0 (TID 1)
> java.lang.ClassNotFoundException: ScalaScript$$anonfun$1
> at org.apache.spark.repl.ExecutorClassLoader.findClass(ExecutorClassLoader.scala:69)
> at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
> at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
> at java.lang.Class.forName0(Native Method)
> at java.lang.Class.forName(Class.java:348)
> at org.apache.spark.serializer.JavaDeserializationStream$$anon$1.resolveClass(JavaSerializer.scala:66)
> at java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1613)
> at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1518)
> at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1774)
> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
> at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2000)
> at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1924)
> at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1801)
> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
> at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2000)
> at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1924)
> at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1801)
> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
> at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2000)
> at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1924)
> at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1801)
> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
> at java.io.ObjectInputStream.readObject(ObjectInputStream.java:371)
> at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:69)
> at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:95)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:58)
> at org.apache.spark.scheduler.Task.run(Task.scala:70)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
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