Github user tdas commented on a diff in the pull request:
https://github.com/apache/spark/pull/1291#discussion_r14544371
--- Diff:
streaming/src/main/scala/org/apache/spark/streaming/dstream/ShuffledDStream.scala
---
@@ -39,8 +39,10 @@ class ShuffledDStream[K: ClassTag, V: ClassTag, C:
ClassTag](
override def compute(validTime: Time): Option[RDD[(K,C)]] = {
parent.getOrCompute(validTime) match {
- case Some(rdd) => Some(rdd.combineByKey[C](
- createCombiner, mergeValue, mergeCombiner, partitioner,
mapSideCombine))
+ case Some(rdd) => {
+ Some(if (rdd.partitions.length==0)
rdd.combineByKey(createCombiner, mergeValue, mergeCombiner,0)
--- End diff --
I agree with @jerryshao , if numPartitioner is set to 0, then partitioning
will fail as partitions are calculated by doing (hashcode % numPartitions) and
anything % 0 gives "java.lang.ArithmeticException: / by zero" error.
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