[jira] [Created] (SPARK-21561) spark-streaming-kafka-010 DSteam is not pulling anything from Kafka

["Vlad Badelita (JIRA)" <ji...@apache.org>]

Vlad Badelita created SPARK-21561:
-------------------------------------

             Summary: spark-streaming-kafka-010 DSteam is not pulling anything from Kafka
                 Key: SPARK-21561
                 URL: https://issues.apache.org/jira/browse/SPARK-21561
             Project: Spark
          Issue Type: Bug
          Components: DStreams
    Affects Versions: 2.1.1
            Reporter: Vlad Badelita


I am trying to use spark-streaming-kafka-0.10 to pull messages from a kafka topic(broker version 0.10). I have checked that messages are being produced and used a KafkaConsumer to pull them successfully. Now, when I try to use the spark streaming api, I am not getting anything. If I just use KafkaUtils.createRDD and specify some offset ranges manually it works. But when, I try to use createDirectStream, all the rdds are empty and when I check the partition offsets it simply reports that all partitions are 0. Here is what I tried:

{code:scala}
 val sparkConf = new SparkConf().setAppName("kafkastream")
 val ssc = new StreamingContext(sparkConf, Seconds(3))
 val topics = Array("my_topic")

 val kafkaParams = Map[String, Object](
   "bootstrap.servers" -> "hostname:6667"
   "key.deserializer" -> classOf[StringDeserializer],
   "value.deserializer" -> classOf[StringDeserializer],
   "group.id" -> "my_group",
   "auto.offset.reset" -> "earliest",
   "enable.auto.commit" -> (true: java.lang.Boolean)
 )

 val stream = KafkaUtils.createDirectStream[String, String](
   ssc,
   PreferConsistent,
   Subscribe[String, String](topics, kafkaParams)
 )

 stream.foreachRDD { rdd =>
   val offsetRanges = rdd.asInstanceOf[HasOffsetRanges].offsetRanges
   rdd.foreachPartition { iter =>
     val o: OffsetRange = offsetRanges(TaskContext.get.partitionId)
     println(s"${o.topic} ${o.partition} ${o.fromOffset} ${o.untilOffset}")
   }

   val rddCount = rdd.count()
   println("rdd count: ", rddCount)

   // stream.asInstanceOf[CanCommitOffsets].commitAsync(offsetRanges)
 }

 ssc.start()
 ssc.awaitTermination()
{code}

All partitions show offset ranges from 0 to 0 and all rdds are empty. I would like it to start from the beginning of a partition but also pick up everything that is being produced to it.

I have also tried using spark-streaming-kafka-0.8 and it does work. I think it is a 0.10 issue because everything else works fine. Thank you!



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