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https://issues.apache.org/jira/browse/SPARK-5953?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14333808#comment-14333808
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Aleksandar Stojadinovic commented on SPARK-5953:
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The decoder? Yes, it's a part of the application.
> NoSuchMethodException with a Kafka input stream and custom decoder in Scala
> ---------------------------------------------------------------------------
>
> Key: SPARK-5953
> URL: https://issues.apache.org/jira/browse/SPARK-5953
> Project: Spark
> Issue Type: Bug
> Components: Input/Output, Spark Core
> Affects Versions: 1.2.0, 1.2.1
> Environment: Xubuntu 14.04, Kafka 0.8.2, Scala 2.10.4, Scala 2.11.5
> Reporter: Aleksandar Stojadinovic
>
> When using a Kafka input stream, and setting a custom Kafka Decoder, Spark
> throws an exception upon starting:
> {noformat}
> ERROR ReceiverTracker: Deregistered receiver for stream 0: Error starting
> receiver 0 - java.lang.NoSuchMethodException:
> UserLocationEventDecoder.<init>(kafka.utils.VerifiableProperties)
> at java.lang.Class.getConstructor0(Class.java:2971)
> at java.lang.Class.getConstructor(Class.java:1812)
> at
> org.apache.spark.streaming.kafka.KafkaReceiver.onStart(KafkaInputDStream.scala:106)
> 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$$anonfun$8.apply(ReceiverTracker.scala:277)
> at
> org.apache.spark.streaming.scheduler.ReceiverTracker$ReceiverLauncher$$anonfun$8.apply(ReceiverTracker.scala:269)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1314)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1314)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
> at org.apache.spark.scheduler.Task.run(Task.scala:56)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:196)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> 15/02/23 21:37:31 ERROR ReceiverSupervisorImpl: Stopped executor with error:
> java.lang.NoSuchMethodException:
> UserLocationEventDecoder.<init>(kafka.utils.VerifiableProperties)
> 15/02/23 21:37:31 ERROR Executor: Exception in task 0.0 in stage 0.0 (TID 0)
> java.lang.NoSuchMethodException:
> UserLocationEventDecoder.<init>(kafka.utils.VerifiableProperties)
> at java.lang.Class.getConstructor0(Class.java:2971)
> at java.lang.Class.getConstructor(Class.java:1812)
> at
> org.apache.spark.streaming.kafka.KafkaReceiver.onStart(KafkaInputDStream.scala:106)
> at
> org.apache.spark.streaming.receiver.ReceiverSupervisor.startReceiver(ReceiverSupervisor.scala:121)
> at
> org.apache.spark.streaming.receiver.ReceiverSupervisor.start(ReceiverSupervisor.scala:106)
> at
> org.apache.spark.streaming.scheduler.ReceiverTracker$ReceiverLauncher$$anonfun$8.apply(ReceiverTracker.scala:277)
> at
> org.apache.spark.streaming.scheduler.ReceiverTracker$ReceiverLauncher$$anonfun$8.apply(ReceiverTracker.scala:269)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1314)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1314)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
> at org.apache.spark.scheduler.Task.run(Task.scala:56)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:196)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> {noformat}
> The stream is initialized with:
> {code:title=Main.scala|borderStyle=solid}
> val locationsAndKeys = KafkaUtils.createStream[String, Array[Byte],
> kafka.serializer.StringDecoder, UserLocationEventDecoder] (ssc, kafkaParams,
> topicMap, StorageLevel.MEMORY_AND_DISK);
> {code}
> The decoder:
> {code:title=UserLocationEventDecoder.scala|borderStyle=solid}
> import kafka.serializer.Decoder
> class UserLocationEventDecoder extends Decoder[UserLocationEvent] {
> val kryo = new Kryo()
> override def fromBytes(bytes: Array[Byte]): UserLocationEvent = {
> val input: Input = new Input(new ByteArrayInputStream(bytes))
> val userLocationEvent: UserLocationEvent =
> kryo.readClassAndObject(input).asInstanceOf[UserLocationEvent]
> input.close()
> return userLocationEvent
> }
> }
> {code}
> build.sbt:
> {code:borderStyle=solid}
> scalaVersion := "2.10.4"
> libraryDependencies += "org.apache.spark" % "spark-core_2.10" % "1.2.1"
> libraryDependencies += "com.spatial4j" % "spatial4j" % "0.4.1"
> libraryDependencies += "org.apache.spark" % "spark-streaming_2.10" % "1.2.1"
> libraryDependencies += "org.apache.spark" % "spark-streaming-kafka_2.10" %
> "1.2.1"
> libraryDependencies += "com.twitter" % "chill_2.10" % "0.5.2"
> {code}
> The input stream (and my code overall) works fine if initialized with the
> kafka.serializer.DefaultDecoder, and content is manually deserialized.
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