Tobias Bertelsen created SPARK-5744:
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Summary: RDD.isEmpty fails when rdd contains empty partitions.
Key: SPARK-5744
URL: https://issues.apache.org/jira/browse/SPARK-5744
Project: Spark
Issue Type: Bug
Components: Spark Core
Reporter: Tobias Bertelsen
Priority: Critical
The implementation of {{RDD.isEmpty()}} fails if there is empty partitions. It
was introduce by https://github.com/apache/spark/pull/4074
Example:
{code:scala}
sc.parallelize(Seq(), 1).isEmpty()
{code}
The above code throws an exception like this:
{code}
org.apache.spark.SparkDriverExecutionException: Execution error
at
org.apache.spark.scheduler.DAGScheduler.handleTaskCompletion(DAGScheduler.scala:977)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1374)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1338)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
Cause: java.lang.ArrayStoreException: [Ljava.lang.Object;
at scala.runtime.ScalaRunTime$.array_update(ScalaRunTime.scala:88)
at
org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1466)
at
org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1466)
at org.apache.spark.scheduler.JobWaiter.taskSucceeded(JobWaiter.scala:56)
at
org.apache.spark.scheduler.DAGScheduler.handleTaskCompletion(DAGScheduler.scala:973)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1374)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1338)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
{code}
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