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https://issues.apache.org/jira/browse/SPARK-17042?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Reynold Xin resolved SPARK-17042.
---------------------------------
Resolution: Fixed
Assignee: Eric Liang
Fix Version/s: 2.1.0
2.0.1
> Repl-defined classes cannot be replicated
> -----------------------------------------
>
> Key: SPARK-17042
> URL: https://issues.apache.org/jira/browse/SPARK-17042
> Project: Spark
> Issue Type: Sub-task
> Components: Block Manager, Spark Core
> Reporter: Eric Liang
> Assignee: Eric Liang
> Fix For: 2.0.1, 2.1.0
>
>
> A simple fix is to erase the classTag when using the default serializer,
> since it's not needed in that case, and the classTag was failing to
> deserialize on the remote end.
> The proper fix is actually to use the right classloader when deserializing
> the classtags, but that is a much more invasive change for 2.0.
> The following test can be added to ReplSuite to reproduce the bug:
> {code}
> test("replicating blocks of object with class defined in repl") {
> val output = runInterpreter("local-cluster[2,1,1024]",
> """
> |import org.apache.spark.storage.StorageLevel._
> |case class Foo(i: Int)
> |val ret = sc.parallelize((1 to 100).map(Foo),
> 10).persist(MEMORY_ONLY_2)
> |ret.count()
> |sc.getExecutorStorageStatus.map(s =>
> s.rddBlocksById(ret.id).size).sum
> """.stripMargin)
> assertDoesNotContain("error:", output)
> assertDoesNotContain("Exception", output)
> assertContains(": Int = 20", output)
> }
> {code}
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