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From Chen Song <chen.song...@gmail.com>
Subject Spark Streaming action not triggered with Kafka inputs
Date Fri, 23 Jan 2015 19:25:20 GMT
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

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