Hi Mario,

Try to include this to your libraryDependencies (in your sbt file):

  "org.apache.kafka" % "kafka_2.10" % "0.8.0"
    exclude("javax.jms", "jms")
    exclude("com.sun.jdmk", "jmxtools")
    exclude("com.sun.jmx", "jmxri")
    exclude("org.slf4j", "slf4j-simple")

Regards,

--
Flávio R. Santos

On Thu, Dec 11, 2014 at 12:32 PM, Mario Pastorelli <mario.pastorelli@teralytics.ch> wrote:
Thanks akhil for the answer.

I am using sbt assembly and the build.sbt is in the first email. Do you know why those classes are included in that way?


Thanks,
Mario


On 11.12.2014 14:51, Akhil Das wrote:
Yes. You can do/use sbt assembly and create a big fat jar with all dependencies bundled inside it. 

Thanks
Best Regards

On Thu, Dec 11, 2014 at 7:10 PM, Mario Pastorelli <mario.pastorelli@teralytics.ch> wrote:
In this way it works but it's not portable and the idea of having a fat jar is to avoid exactly this. Is there any system to create a self-contained portable fatJar?


On 11.12.2014 13:57, Akhil Das wrote:
Add these jars while creating the Context.

       val sc = new SparkContext(conf)

        sc.addJar("/home/akhld/.ivy2/cache/org.apache.spark/spark-streaming-kafka_2.10/jars/spark-streaming-kafka_2.10-1.1.0.jar")
        sc.addJar("/home/akhld/.ivy2/cache/com.101tec/zkclient/jars/zkclient-0.3.jar")
        sc.addJar("/home/akhld/.ivy2/cache/com.yammer.metrics/metrics-core/jars/metrics-core-2.2.0.jar")
        sc.addJar("/home/akhld/.ivy2/cache/org.apache.kafka/kafka_2.10/jars/kafka_2.10-0.8.0.jar")
        
        val ssc = new StreamingContext(sc, Seconds(10))


Thanks
Best Regards

On Thu, Dec 11, 2014 at 6:22 PM, Mario Pastorelli <mario.pastorelli@teralytics.ch> wrote:
Hi,

I'm trying to use spark-streaming with kafka but I get a strange error on class that are missing. I would like to ask if my way to build the fat jar is correct or no. My program is

val kafkaStream = KafkaUtils.createStream(ssc, zookeeperQuorum, kafkaGroupId, kafkaTopicsWithThreads)
                            .map(_._2)

kafkaStream.foreachRDD((rdd,t) => rdd.foreachPartition { iter:Iterator[CellWithLAC] =>
  println("time: " ++ t.toString ++ " #received: " ++ iter.size.toString)
})

I use sbt to manage my project and my build.sbt (with assembly 0.12.0 plugin) is

name := "spark_example"

version := "0.0.1"

scalaVersion := "2.10.4"

scalacOptions ++= Seq("-deprecation","-feature")

libraryDependencies ++= Seq(
  "org.apache.spark" % "spark-streaming_2.10" % "1.1.1",
  "org.apache.spark" % "spark-streaming-kafka_2.10" % "1.1.1",
  "joda-time" % "joda-time" % "2.6"
)

assemblyMergeStrategy in assembly := {
  case p if p startsWith "com/esotericsoftware/minlog" => MergeStrategy.first
  case p if p startsWith "org/apache/commons/beanutils" => MergeStrategy.first
  case p if p startsWith "org/apache/" => MergeStrategy.last
  case "plugin.properties" => MergeStrategy.discard
  case p if p startsWith "META-INF" => MergeStrategy.discard
  case x =>
    val oldStrategy = (assemblyMergeStrategy in assembly).value
    oldStrategy(x)
}

I create the jar with sbt assembly and the run with $SPARK_HOME/bin/spark-submit --master spark://master:7077 --class Main target/scala-2.10/spark_example-assembly-0.0.1.jar localhost:2181 test-consumer-group test1

where master:7077 is the spark master, localhost:2181 is zookeeper, test-consumer-group is kafka groupid and test1 is the kafka topic. The program starts and keep running but I get an error and nothing is printed. In the log I found the following stack trace:

14/12/11 13:02:08 INFO network.ConnectionManager: Accepted connection from [10.0.3.1/10.0.3.1:54325]
14/12/11 13:02:08 INFO network.SendingConnection: Initiating connection to [jpl-devvax/127.0.1.1:38767]
14/12/11 13:02:08 INFO network.SendingConnection: Connected to [jpl-devvax/127.0.1.1:38767], 1 messages pending
14/12/11 13:02:08 INFO storage.BlockManagerInfo: Added broadcast_2_piece0 in memory on jpl-devvax:38767 (size: 842.0 B, free: 265.4 MB)
14/12/11 13:02:08 INFO scheduler.ReceiverTracker: Registered receiver for stream 0 from akka.tcp://sparkExecutor@jpl-devvax:46602
14/12/11 13:02:08 ERROR scheduler.ReceiverTracker: Deregistered receiver for stream 0: Error starting receiver 0 - java.lang.NoClassDefFoundError: kafka/consumer/ZookeeperConsumerConnector$ZKRebalancerListener$$anonfun$kafka$consumer$ZookeeperConsumerConnector$ZKRebalancerListener$$closeFetchersForQueues$1
    at kafka.consumer.ZookeeperConsumerConnector$ZKRebalancerListener.kafka$consumer$ZookeeperConsumerConnector$ZKRebalancerListener$$closeFetchersForQueues(Unknown Source)
    at kafka.consumer.ZookeeperConsumerConnector$ZKRebalancerListener$$anonfun$syncedRebalance$1.apply$mcVI$sp(Unknown Source)
    at scala.collection.immutable.Range.foreach$mVc$sp(Range.scala:141)
    at kafka.consumer.ZookeeperConsumerConnector$ZKRebalancerListener.syncedRebalance(Unknown Source)
    at kafka.consumer.ZookeeperConsumerConnector.kafka$consumer$ZookeeperConsumerConnector$$reinitializeConsumer(Unknown Source)
    at kafka.consumer.ZookeeperConsumerConnector.consume(Unknown Source)
    at kafka.consumer.ZookeeperConsumerConnector.createMessageStreams(Unknown Source)
    at org.apache.spark.streaming.kafka.KafkaReceiver.onStart(KafkaInputDStream.scala:114)
    at org.apache.spark.streaming.receiver.ReceiverSupervisor.startReceiver(ReceiverSupervisor.scala:121)
    at org.apache.spark.streaming.receiver.ReceiverSupervisor.start(ReceiverSupervisor.scala:106)
    at org.apache.spark.streaming.scheduler.ReceiverTracker$ReceiverLauncher$$anonfun$9.apply(ReceiverTracker.scala:264)
    at org.apache.spark.streaming.scheduler.ReceiverTracker$ReceiverLauncher$$anonfun$9.apply(ReceiverTracker.scala:257)
    at org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1143)
    at org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1143)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:62)
    at org.apache.spark.scheduler.Task.run(Task.scala:54)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:178)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
    at java.lang.Thread.run(Thread.java:745)

I have searched inside the fat jar and I found that that class is not in it:

> jar -tf target/scala-2.10/rtstat_in_spark-assembly-0.0.1.jar  | grep "kafka/consumer/ZookeeperConsumerConnector$ZKRebalancerListener$$anonfun$kafka$consumer$ZookeeperConsumerConnector"
>

The problem is the double dollar before anonfun: if you put only one then the class is there:

> jar -tf target/scala-2.10/rtstat_in_spark-assembly-0.0.1.jar  | grep "kafka/consumer/ZookeeperConsumerConnector$ZKRebalancerListener$anonfun$kafka$consumer$ZookeeperConsumerConnector"
[...]
kafka/consumer/ZookeeperConsumerConnector.class
>

I'm submitting my job to spark-1.1.1 compiled with hadoop2.4 downloaded from the spark website.

My question is: how can I solve this problem? I guess the problem is my sbt script but I don't understand why.


Thanks,
Mario Pastorelli