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
