Github user dibbhatt commented on a diff in the pull request:
https://github.com/apache/spark/pull/6614#discussion_r31658998
--- Diff:
streaming/src/main/scala/org/apache/spark/streaming/receiver/ReceiverSupervisorImpl.scala
---
@@ -136,14 +136,18 @@ private[streaming] class ReceiverSupervisorImpl(
metadataOption: Option[Any],
blockIdOption: Option[StreamBlockId]
) {
+ var rBlock = receivedBlock
val blockId = blockIdOption.getOrElse(nextBlockId)
val numRecords = receivedBlock match {
case ArrayBufferBlock(arrayBuffer) => arrayBuffer.size
+ case IteratorBlock(iterator) =>
+ var arrayBuffer = ArrayBuffer(iterator.toArray : _*)
--- End diff --
Agree, but Custom Receiver storing blocks using iterator can not utilize
the UI stats . Not sure if there is any wide usage of Iterator , but in my
Kafka Consumer
(http://spark-packages.org/package/dibbhatt/kafka-spark-consumer) I earlier
used Iterator but now changed it to ArrayBuffer. But people who use Iterator
will have this issue..
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