[jira] [Created] (TOREE-428) Can't use case class in the Scala notebook

["Haifeng Li (JIRA)" <ji...@apache.org>]

Haifeng Li created TOREE-428:
--------------------------------

             Summary: Can't use case class in the Scala notebook
                 Key: TOREE-428
                 URL: https://issues.apache.org/jira/browse/TOREE-428
             Project: TOREE
          Issue Type: Bug
          Components: Build
            Reporter: Haifeng Li


the version of docker:
jupyter/all-spark-notebook:lastest

the way to start docker:
docker run -it --rm -p 8888:8888 jupyter/all-spark-notebook:latest
or
docker ps -a
docker start -i containerID

the steps:

Visit http://localhost:8888
Start an spylon-kernal notebook
input code above
import spark.implicits._
val p = spark.sparkContext.textFile ("../Data/person.txt")
val pmap = p.map ( _.split (","))
pmap.collect()
the output:res0: Array[Array[String]] = Array(Array(Barack, Obama, 53), Array(George, Bush, 68), Array(Bill, Clinton, 68))

case class Persons (first_name:String,last_name: String,age:Int)
val personRDD = pmap.map ( p => Persons (p(0), p(1), p(2).toInt))
personRDD.take(1)
the error message:

org.apache.spark.SparkDriverExecutionException: Execution error
  at org.apache.spark.scheduler.DAGScheduler.handleTaskCompletion(DAGScheduler.scala:1186)
  at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1711)
  at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1669)
  at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1658)
  at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
  at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:630)
  at org.apache.spark.SparkContext.runJob(SparkContext.scala:2022)
  at org.apache.spark.SparkContext.runJob(SparkContext.scala:2043)
  at org.apache.spark.SparkContext.runJob(SparkContext.scala:2062)
  at org.apache.spark.rdd.RDD$$anonfun$take$1.apply(RDD.scala:1354)
  at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
  at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
  at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
  at org.apache.spark.rdd.RDD.take(RDD.scala:1327)
  ... 39 elided
Caused by: java.lang.ArrayStoreException: [LPersons;
  at scala.runtime.ScalaRunTime$.array_update(ScalaRunTime.scala:90)
  at org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:2043)
  at org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:2043)
  at org.apache.spark.scheduler.JobWaiter.taskSucceeded(JobWaiter.scala:59)
  at org.apache.spark.scheduler.DAGScheduler.handleTaskCompletion(DAGScheduler.scala:1182)
  at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1711)
  at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1669)
  at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1658)
  at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
The above code is working with the spark-shell. From error message, I speculated that the driver program didn't correctly handle case class Persons to RDD partition.



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