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https://issues.apache.org/jira/browse/SPARK-31399?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17080265#comment-17080265
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Reynold Xin commented on SPARK-31399:
-------------------------------------
This is bad... [~sowen] and [~joshrosen] did you look into this in the past?
> closure cleaner is broken in Spark 3.0
> --------------------------------------
>
> Key: SPARK-31399
> URL: https://issues.apache.org/jira/browse/SPARK-31399
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 3.0.0
> Reporter: Wenchen Fan
> Priority: Blocker
>
> The `ClosureCleaner` only support Scala functions and it uses the following
> check to catch closures
> {code}
> // Check whether a class represents a Scala closure
> private def isClosure(cls: Class[_]): Boolean = {
> cls.getName.contains("$anonfun$")
> }
> {code}
> This doesn't work in 3.0 any more as we upgrade to Scala 2.12 and most Scala
> functions become Java lambdas.
> As an example, the following code works well in Spark 2.4 Spark Shell:
> {code}
> scala> :pa
> // Entering paste mode (ctrl-D to finish)
> import org.apache.spark.sql.functions.lit
> case class Foo(id: String)
> val col = lit("123")
> val df = sc.range(0,10,1,1).map { _ => Foo("") }
> // Exiting paste mode, now interpreting.
> import org.apache.spark.sql.functions.lit
> defined class Foo
> col: org.apache.spark.sql.Column = 123
> df: org.apache.spark.rdd.RDD[Foo] = MapPartitionsRDD[5] at map at <pastie>:20
> {code}
> But fails in 3.0
> {code}
> scala> :pa
> // Entering paste mode (ctrl-D to finish)
> import org.apache.spark.sql.functions.lit
> case class Foo(id: String)
> val col = lit("123")
> val df = sc.range(0,10,1,1).map { _ => Foo("") }
> // Exiting paste mode, now interpreting.
> org.apache.spark.SparkException: Task not serializable
> at
> org.apache.spark.util.ClosureCleaner$.ensureSerializable(ClosureCleaner.scala:396)
> at org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:386)
> at org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:159)
> at org.apache.spark.SparkContext.clean(SparkContext.scala:2371)
> at org.apache.spark.rdd.RDD.$anonfun$map$1(RDD.scala:422)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
> at org.apache.spark.rdd.RDD.withScope(RDD.scala:414)
> at org.apache.spark.rdd.RDD.map(RDD.scala:421)
> ... 39 elided
> Caused by: java.io.NotSerializableException: org.apache.spark.sql.Column
> Serialization stack:
> - object not serializable (class: org.apache.spark.sql.Column, value:
> 123)
> - field (class: $iw, name: col, type: class org.apache.spark.sql.Column)
> - object (class $iw, $iw@2d87ac2b)
> - element of array (index: 0)
> - array (class [Ljava.lang.Object;, size 1)
> - field (class: java.lang.invoke.SerializedLambda, name: capturedArgs,
> type: class [Ljava.lang.Object;)
> - object (class java.lang.invoke.SerializedLambda,
> SerializedLambda[capturingClass=class $iw,
> functionalInterfaceMethod=scala/Function1.apply:(Ljava/lang/Object;)Ljava/lang/Object;,
> implementation=invokeStatic
> $anonfun$df$1$adapted:(L$iw;Ljava/lang/Object;)LFoo;,
> instantiatedMethodType=(Ljava/lang/Object;)LFoo;, numCaptured=1])
> - writeReplace data (class: java.lang.invoke.SerializedLambda)
> - object (class $Lambda$2438/170049100, $Lambda$2438/170049100@d6b8c43)
> at
> org.apache.spark.serializer.SerializationDebugger$.improveException(SerializationDebugger.scala:41)
> at
> org.apache.spark.serializer.JavaSerializationStream.writeObject(JavaSerializer.scala:47)
> at
> org.apache.spark.serializer.JavaSerializerInstance.serialize(JavaSerializer.scala:101)
> at
> org.apache.spark.util.ClosureCleaner$.ensureSerializable(ClosureCleaner.scala:393)
> ... 47 more
> {code}
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