Github user felixcheung commented on the issue:

    https://github.com/apache/spark/pull/17274
  
    test failed on appveyor - it looks like the connection to JVM is dead
    
    ```
    . Error: add and get file to be downloaded with Spark job on every node 
(@test_context.R#184) 
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 
in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 
(TID 0, localhost, executor driver): org.apache.spark.SparkException: R 
computation failed with
     
      No connection to backend found. Please re-run sparkR.session()
    Calls: compute ... spark.getSparkFilesRootDirectory -> callJStatic -> 
invokeJava
    Execution halted
        at org.apache.spark.api.r.RRunner.compute(RRunner.scala:108)
        at org.apache.spark.api.r.BaseRRDD.compute(RRDD.scala:50)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
        at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
        at org.apache.spark.scheduler.Task.run(Task.scala:108)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:317)
        at 
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
        at 
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
        at java.lang.Thread.run(Thread.java:745)
    Driver stacktrace:
        at 
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1487)
        at 
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1475)
        at 
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1474)
        at 
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
        at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
        at 
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1474)
        at 
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:803)
        at 
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:803)
        at scala.Option.foreach(Option.scala:257)
        at 
org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:803)
        at 
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1702)
        at 
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1657)
        at 
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1646)
        at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
        at 
org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:628)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:2019)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:2040)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:2059)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:2084)
        at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:936)
        at 
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
        at 
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
    ```


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