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https://issues.apache.org/jira/browse/SPARK-20080?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sean Owen resolved SPARK-20080.
-------------------------------
Resolution: Invalid
There is no detail here about the cause of the problem. This is a normal
exception. It means your task isn't serializable because you're reference a
Logger.
> Spak streaming up do not throw serialisation exception in foreachRDD
> --------------------------------------------------------------------
>
> Key: SPARK-20080
> URL: https://issues.apache.org/jira/browse/SPARK-20080
> Project: Spark
> Issue Type: Bug
> Components: DStreams
> Affects Versions: 2.1.0
> Environment: local spark and yarn from big top 1.1.0 version
> Reporter: Nick Hryhoriev
> Priority: Minor
>
> up vote
> 0
> down vote
> favorite
> When i try use or init org.slf4j.Logger inside foreachPartition. I have found
> that foreachPartition method do not execute and no exception appeared. Tested
> on local and yarn mode spark.
> code can be found on github. There are two main class that explain problem.
> if i will run same code with batch job. I will get right exception.
> {code:java}
> Exception in thread "main" org.apache.spark.SparkException: Task not
> serializable
> at
> org.apache.spark.util.ClosureCleaner$.ensureSerializable(ClosureCleaner.scala:298)
> at
> org.apache.spark.util.ClosureCleaner$.org$apache$spark$util$ClosureCleaner$$clean(ClosureCleaner.scala:288)
> at org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:108)
> at org.apache.spark.SparkContext.clean(SparkContext.scala:2094)
> at
> org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1.apply(RDD.scala:924)
> at
> org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1.apply(RDD.scala:923)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
> at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
> at org.apache.spark.rdd.RDD.foreachPartition(RDD.scala:923)
> at TraitWithMethod$class.executeForEachpartitoin(TraitWithMethod.scala:12)
> at ReproduceBugMain$.executeForEachpartitoin(ReproduceBugMain.scala:7)
> at ReproduceBugMain$.main(ReproduceBugMain.scala:14)
> at ReproduceBugMain.main(ReproduceBugMain.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at com.intellij.rt.execution.application.AppMain.main(AppMain.java:147)
> Caused by: java.io.NotSerializableException: ReproduceBugMain$
> Serialization stack:
> - object not serializable (class: ReproduceBugMain$, value:
> ReproduceBugMain$@3935e9a8)
> - field (class: TraitWithMethod$$anonfun$executeForEachpartitoin$1, name:
> $outer, type: interface TraitWithMethod)
> - object (class TraitWithMethod$$anonfun$executeForEachpartitoin$1,
> <function1>)
> at
> org.apache.spark.serializer.SerializationDebugger$.improveException(SerializationDebugger.scala:40)
> at
> org.apache.spark.serializer.JavaSerializationStream.writeObject(JavaSerializer.scala:46)
> at
> org.apache.spark.serializer.JavaSerializerInstance.serialize(JavaSerializer.scala:100)
> at
> org.apache.spark.util.ClosureCleaner$.ensureSerializable(ClosureCleaner.scala:295)
> ... 18 more
> {code}
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