I am running into some problems with Spark Streaming when reading from
Kafka.I used Spark 1.2.0 built on CDH5.
The example is based on:
https://github.com/apache/spark/blob/master/examples/scala-2.10/src/main/scala/org/apache/spark/examples/streaming/KafkaWordCount.scala
* It works with default implementation.
val topicMap = topics.split(",").map((_,numThreads.toInt)).toMap
val lines = KafkaUtils.createStream(ssc, zkQuorum, group,
topicMap).map(_._2)
* However, when I changed it to parallel receiving, like shown below
val topicMap = topics.split(",").map((_, 1)).toMap
val parallelInputs = (1 to numThreads.toInt) map { _ => KafkaUtils.
createStream(ssc, zkQuorum, group, topicMap)
}
ssc.union(parallelInputs)
After the change, the job stage just hang there and never finish. It looks
like no action is triggered on the streaming job. When I check the
"Streaming" tab, it show messages below:
Batch Processing Statistics
No statistics have been generated yet.
Am I doing anything wrong on the parallel receiving part?
--
Chen Song
