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https://issues.apache.org/jira/browse/SPARK-4489?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14904572#comment-14904572
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Glenn Strycker commented on SPARK-4489:
---------------------------------------
My ticket SPARK-10762 may have just been a user error, but was interesting
none-the-less... evidently Scala or Spark is not correctly reporting the type
of an ArrayBuffer as ArrayBuffer[Any], but claimed it had correctly been cast
to ArrayBuffer[(Int,String)].
Please see the solution posted on
http://stackoverflow.com/questions/32727518/genericrowwithschema-exception-in-casting-arraybuffer-to-hashset-in-dataframe-to,
as it may shed light on this ticket.
For my issue, instead of using
{code}
a(4).asInstanceOf[scala.collection.mutable.ArrayBuffer[(Int,String)]]
{code}
I should be using
{code}
a(4).asInstanceOf[ArrayBuffer[Row]].map{case x:Row =>
(x(0).asInstanceOf[Int],x(1).asInstanceOf[String])}
{code}
> JavaPairRDD.collectAsMap from checkpoint RDD may fail with ClassCastException
> -----------------------------------------------------------------------------
>
> Key: SPARK-4489
> URL: https://issues.apache.org/jira/browse/SPARK-4489
> Project: Spark
> Issue Type: Bug
> Components: Java API
> Affects Versions: 1.1.0
> Reporter: Christopher Ng
>
> Calling collectAsMap() on a JavaPairRDD reconstructed from a checkpoint fails
> with a ClassCastException:
> Exception in thread "main" java.lang.ClassCastException: [Ljava.lang.Object;
> cannot be cast to [Lscala.Tuple2;
> at
> org.apache.spark.rdd.PairRDDFunctions.collectAsMap(PairRDDFunctions.scala:595)
> at
> org.apache.spark.api.java.JavaPairRDD.collectAsMap(JavaPairRDD.scala:569)
> at org.facboy.spark.CheckpointBug.main(CheckpointBug.java:46)
> Code sample reproducing the issue:
> https://gist.github.com/facboy/8387e950ffb0746a8272
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