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https://issues.apache.org/jira/browse/SPARK-10908?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16382241#comment-16382241
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Riccardo Vincelli commented on SPARK-10908:
-------------------------------------------

Hi, I am encountering this as well, running two local Spark contexts on the 
same JVM while performing HDFS operations. This might be just inherently 
incompatible configuration, but it is weird. Thanks,

> ClassCastException in HadoopRDD.getJobConf
> ------------------------------------------
>
>                 Key: SPARK-10908
>                 URL: https://issues.apache.org/jira/browse/SPARK-10908
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 1.5.2
>            Reporter: Franco
>            Priority: Major
>
> Whilst running a Spark SQL job (I can't provide an explain plan as many of 
> these are happening concurrently) the following exception is thrown:
> java.lang.ClassCastException: [B cannot be cast to 
> org.apache.spark.util.SerializableConfiguration
> rg.apache.spark.util.SerializableConfiguration
>         at org.apache.spark.rdd.HadoopRDD.getJobConf(HadoopRDD.scala:144)
>         at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:200)
>         at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
>         at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
>         at scala.Option.getOrElse(Option.scala:120)
>         at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
>         at 
> org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
>         at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
>         at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
>         at scala.Option.getOrElse(Option.scala:120)
>         at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
>         at 
> org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
>         at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
>         at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
>         at scala.Option.getOrElse(Option.scala:120)
>         at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
>         at 
> org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
>         at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
>         at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
>         at scala.Option.getOrElse(Option.scala:120)
>         at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
>         at 
> org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
>         at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
>         at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
>         at scala.Option.getOrElse(Option.scala:120)
>         at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
>         at org.apache.spark.ShuffleDependency.<init>(Dependency.scala:82)
>         at 
> org.apache.spark.rdd.ShuffledRDD.getDependencies(ShuffledRDD.scala:78)



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