Как исправить логирование и совместимость версий в spark-submit файла jar - PullRequest
1 голос
/ 17 июня 2019

Я пытаюсь отправить файл jar для выполнения на движке искры. Я пытаюсь интегрировать spark с kafka и использую eclipse для создания и экспорта файла jar примера кода https://github.com/apache/spark/tree/v2.1.1/examples

У меня есть два исключения:

1) несовместимость в версиях. Я использую Scala 2.11.12, kafka_2.12-2.2.0, spark-2.4.3, версия java "11.0.2" 2019-01-15 LTS, spark-streaming-kafka-0-8-assembly_2.11-2.4.3 I не знаете какие версии использовать и какие совместимы?

2) AbstractMethodError: класс получателя org.apache.spark.streaming.kafka.KafkaReceiver не определяет или наследовать реализацию разрешенного метода аннотация.

При затмении я попытался добавить в качестве внешних jar все jar-файлы в spark-2.4.3 / jars. Я использовал команду:

. / Bin / spark-submit --files /home/symlab/software/spark-2.4.3/conf/log4j.properties --conf spark.driver.extraJavaOptions = '- Dlog4j.configuration = Файл: /home/symlab/software/spark-2.4.3/conf/log4j.properties' --class org.apache.spark.examples.streaming.JavaKafkaWordCount --packages org.apache.spark: spark-streaming-kafka-0-10_2.11: 2.4.3 - основной локальный [2] / home / symlab / software / JavaKafkaWordCount.jar localhost: 2181 тестовая группа-потребители streams-plaintext-input 1

..............................

19/06/17 18:01:06 INFO ReceiverSupervisorImpl: запуск приемника 0

19/06/17 18:01:06 ERROR Executor: Exception in task 0.0 in stage 0.0 (TID 0)
java.lang.AbstractMethodError: Receiver class org.apache.spark.streaming.kafka.KafkaReceiver does not define or inherit an implementation of the resolved method abstract initializeLogIfNecessary(ZZ)Z of interface org.apache.spark.internal.Logging.
    at org.apache.spark.internal.Logging$class.initializeLogIfNecessary(Logging.scala:99)
    at org.apache.spark.streaming.kafka.KafkaReceiver.initializeLogIfNecessary(KafkaInputDStream.scala:68)
    at org.apache.spark.internal.Logging$class.log(Logging.scala:46)
    at org.apache.spark.streaming.kafka.KafkaReceiver.log(KafkaInputDStream.scala:68)
    at org.apache.spark.internal.Logging$class.logInfo(Logging.scala:54)
    at org.apache.spark.streaming.kafka.KafkaReceiver.logInfo(KafkaInputDStream.scala:68)
    at org.apache.spark.streaming.kafka.KafkaReceiver.onStart(KafkaInputDStream.scala:90)
    at org.apache.spark.streaming.receiver.ReceiverSupervisor.startReceiver(ReceiverSupervisor.scala:149)
    at org.apache.spark.streaming.receiver.ReceiverSupervisor.start(ReceiverSupervisor.scala:131)
    at org.apache.spark.streaming.scheduler.ReceiverTracker$ReceiverTrackerEndpoint$$anonfun$9.apply(ReceiverTracker.scala:601)
    at org.apache.spark.streaming.scheduler.ReceiverTracker$ReceiverTrackerEndpoint$$anonfun$9.apply(ReceiverTracker.scala:591)
    at org.apache.spark.SparkContext$$anonfun$37.apply(SparkContext.scala:2212)
    at org.apache.spark.SparkContext$$anonfun$37.apply(SparkContext.scala:2212)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
    at org.apache.spark.scheduler.Task.run(Task.scala:121)
    at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
    at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
    at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
    at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
    at java.base/java.lang.Thread.run(Thread.java:834)
19/06/17 18:01:06 INFO JobScheduler: Added jobs for time 1560765666000 ms
19/06/17 18:01:06 INFO JobScheduler: Starting job streaming job 1560765666000 ms.0 from job set of time 1560765666000 ms
19/06/17 18:01:06 INFO JobScheduler: Finished job streaming job 1560765666000 ms.0 from job set of time 1560765666000 ms
    19/06/17 18:01:06 ERROR JobScheduler: Error running job streaming job 1560765666000 ms.0
    java.lang.IllegalArgumentException: Unsupported class file major version 55
        at org.apache.xbean.asm6.ClassReader.<init>(ClassReader.java:166)
        at org.apache.xbean.asm6.ClassReader.<init>(ClassReader.java:148)
        at org.apache.xbean.asm6.ClassReader.<init>(ClassReader.java:136)
        at org.apache.xbean.asm6.ClassReader.<init>(ClassReader.java:237)
        at org.apache.spark.util.ClosureCleaner$.getClassReader(ClosureCleaner.scala:49)
        at org.apache.spark.util.FieldAccessFinder$$anon$3$$anonfun$visitMethodInsn$2.apply(ClosureCleaner.scala:517)
        at org.apache.spark.util.FieldAccessFinder$$anon$3$$anonfun$visitMethodInsn$2.apply(ClosureCleaner.scala:500)
        at scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:733)
        at scala.collection.mutable.HashMap$$anon$1$$anonfun$foreach$2.apply(HashMap.scala:134)
        at scala.collection.mutable.HashMap$$anon$1$$anonfun$foreach$2.apply(HashMap.scala:134)
        at scala.collection.mutable.HashTable$class.foreachEntry(HashTable.scala:236)
        at scala.collection.mutable.HashMap.foreachEntry(HashMap.scala:40)
        at scala.collection.mutable.HashMap$$anon$1.foreach(HashMap.scala:134)
        at scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:732)
        at org.apache.spark.util.FieldAccessFinder$$anon$3.visitMethodInsn(ClosureCleaner.scala:500)
        at org.apache.xbean.asm6.ClassReader.readCode(ClassReader.java:2175)
        at org.apache.xbean.asm6.ClassReader.readMethod(ClassReader.java:1238)
        at org.apache.xbean.asm6.ClassReader.accept(ClassReader.java:631)
        at org.apache.xbean.asm6.ClassReader.accept(ClassReader.java:355)
        at org.apache.spark.util.ClosureCleaner$$anonfun$org$apache$spark$util$ClosureCleaner$$clean$14.apply(ClosureCleaner.scala:307)
        at org.apache.spark.util.ClosureCleaner$$anonfun$org$apache$spark$util$ClosureCleaner$$clean$14.apply(ClosureCleaner.scala:306)
        at scala.collection.immutable.List.foreach(List.scala:392)
        at org.apache.spark.util.ClosureCleaner$.org$apache$spark$util$ClosureCleaner$$clean(ClosureCleaner.scala:306)
        at org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:162)
        at org.apache.spark.SparkContext.clean(SparkContext.scala:2326)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:2100)
        at org.apache.spark.rdd.RDD$$anonfun$take$1.apply(RDD.scala:1364)
        at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
        at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
        at org.apache.spark.rdd.RDD.withScope(RDD.scala:363)
        at org.apache.spark.rdd.RDD.take(RDD.scala:1337)
        at org.apache.spark.streaming.dstream.DStream$$anonfun$print$2$$anonfun$foreachFunc$3$1.apply(DStream.scala:735)
        at org.apache.spark.streaming.dstream.DStream$$anonfun$print$2$$anonfun$foreachFunc$3$1.apply(DStream.scala:734)
        at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(ForEachDStream.scala:51)
        at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1$$anonfun$apply$mcV$sp$1.apply(ForEachDStream.scala:51)
        at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1$$anonfun$apply$mcV$sp$1.apply(ForEachDStream.scala:51)
        at org.apache.spark.streaming.dstream.DStream.createRDDWithLocalProperties(DStream.scala:416)
        at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1.apply$mcV$sp(ForEachDStream.scala:50)
        at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1.apply(ForEachDStream.scala:50)
        at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1.apply(ForEachDStream.scala:50)
        at scala.util.Try$.apply(Try.scala:192)
        at org.apache.spark.streaming.scheduler.Job.run(Job.scala:39)
        at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler$$anonfun$run$1.apply$mcV$sp(JobScheduler.scala:257)
        at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler$$anonfun$run$1.apply(JobScheduler.scala:257)
        at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler$$anonfun$run$1.apply(JobScheduler.scala:257)
        at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58)
        at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler.run(JobScheduler.scala:256)
        at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
        at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
        at java.base/java.lang.Thread.run(Thread.java:834)
    java.lang.IllegalArgumentException: Unsupported class file major version 55
        at org.apache.xbean.asm6.ClassReader.<init>(ClassReader.java:166)
        at org.apache.xbean.asm6.ClassReader.<init>(ClassReader.java:148)
        at org.apache.xbean.asm6.ClassReader.<init>(ClassReader.java:136)
        at org.apache.xbean.asm6.ClassReader.<init>(ClassReader.java:237)
        at org.apache.spark.util.ClosureCleaner$.getClassReader(ClosureCleaner.scala:49)
        at org.apache.spark.util.FieldAccessFinder$$anon$3$$anonfun$visitMethodInsn$2.apply(ClosureCleaner.scala:517)
        at org.apache.spark.util.FieldAccessFinder$$anon$3$$anonfun$visitMethodInsn$2.apply(ClosureCleaner.scala:500)
        at scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:733)
        at scala.collection.mutable.HashMap$$anon$1$$anonfun$foreach$2.apply(HashMap.scala:134)
        at scala.collection.mutable.HashMap$$anon$1$$anonfun$foreach$2.apply(HashMap.scala:134)
        at scala.collection.mutable.HashTable$class.foreachEntry(HashTable.scala:236)
        at scala.collection.mutable.HashMap.foreachEntry(HashMap.scala:40)
        at scala.collection.mutable.HashMap$$anon$1.foreach(HashMap.scala:134)
        at scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:732)
        at org.apache.spark.util.FieldAccessFinder$$anon$3.visitMethodInsn(ClosureCleaner.scala:500)
        at org.apache.xbean.asm6.ClassReader.readCode(ClassReader.java:2175)
        at org.apache.xbean.asm6.ClassReader.readMethod(ClassReader.java:1238)
        at org.apache.xbean.asm6.ClassReader.accept(ClassReader.java:631)
        at org.apache.xbean.asm6.ClassReader.accept(ClassReader.java:355)
        at org.apache.spark.util.ClosureCleaner$$anonfun$org$apache$spark$util$ClosureCleaner$$clean$14.apply(ClosureCleaner.scala:307)
        at org.apache.spark.util.ClosureCleaner$$anonfun$org$apache$spark$util$ClosureCleaner$$clean$14.apply(ClosureCleaner.scala:306)
        at scala.collection.immutable.List.foreach(List.scala:392)
        at org.apache.spark.util.ClosureCleaner$.org$apache$spark$util$ClosureCleaner$$clean(ClosureCleaner.scala:306)
        at org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:162)
        at org.apache.spark.SparkContext.clean(SparkContext.scala:2326)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:2100)
        at org.apache.spark.rdd.RDD$$anonfun$take$1.apply(RDD.scala:1364)
        at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
        at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
        at org.apache.spark.rdd.RDD.withScope(RDD.scala:363)
        at org.apache.spark.rdd.RDD.take(RDD.scala:1337)
        at org.apache.spark.streaming.dstream.DStream$$anonfun$print$2$$anonfun$foreachFunc$3$1.apply(DStream.scala:735)
        at org.apache.spark.streaming.dstream.DStream$$anonfun$print$2$$anonfun$foreachFunc$3$1.apply(DStream.scala:734)
        at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(ForEachDStream.scala:51)
        at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1$$anonfun$apply$mcV$sp$1.apply(ForEachDStream.scala:51)
        at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1$$anonfun$apply$mcV$sp$1.apply(ForEachDStream.scala:51)
        at org.apache.spark.streaming.dstream.DStream.createRDDWithLocalProperties(DStream.scala:416)
        at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1.apply$mcV$sp(ForEachDStream.scala:50)
        at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1.apply(ForEachDStream.scala:50)
        at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1.apply(ForEachDStream.scala:50)
        at scala.util.Try$.apply(Try.scala:192)
        at org.apache.spark.streaming.scheduler.Job.run(Job.scala:39)
        at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler$$anonfun$run$1.apply$mcV$sp(JobScheduler.scala:257)
        at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler$$anonfun$run$1.apply(JobScheduler.scala:257)
        at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler$$anonfun$run$1.apply(JobScheduler.scala:257)
        at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58)
        at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler.run(JobScheduler.scala:256)
        at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
        at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
        at java.base/java.lang.Thread.run(Thread.java:834)


          19/06/17 18:01:06 INFO StreamingContext: Invoking stop(stopGracefully=false) from shutdown hook
            19/06/17 18:01:06 INFO ReceiverTracker: Sent stop signal to all 1 receivers
            19/06/17 18:01:06 INFO ReceiverSupervisorImpl: Received stop signal
            19/06/17 18:01:06 INFO ReceiverSupervisorImpl: Stopping receiver with message: Stopped by driver: 
            19/06/17 18:01:06 INFO ReceiverSupervisorImpl: Called receiver onStop
            19/06/17 18:01:06 INFO ReceiverSupervisorImpl: Deregistering receiver 0
            19/06/17 18:01:06 WARN TaskSetManager: Lost task 0.0 in stage 0.0 (TID 

    0, localhost, executor driver): java.lang.AbstractMethodError: Receiver class org.apache.spark.streaming.kafka.KafkaReceiver does not define or inherit an implementation of the resolved method abstract 

initializeLogIfNecessary(ZZ)Z of interface org.apache.spark.internal.Logging.
        at org.apache.spark.internal.Logging$class.initializeLogIfNecessary(Logging.scala:99)
        at org.apache.spark.streaming.kafka.KafkaReceiver.initializeLogIfNecessary(KafkaInputDStream.scala:68)
        at org.apache.spark.internal.Logging$class.log(Logging.scala:46)
        at org.apache.spark.streaming.kafka.KafkaReceiver.log(KafkaInputDStream.scala:68)
        at org.apache.spark.internal.Logging$class.logInfo(Logging.scala:54)
        at org.apache.spark.streaming.kafka.KafkaReceiver.logInfo(KafkaInputDStream.scala:68)
        at org.apache.spark.streaming.kafka.KafkaReceiver.onStart(KafkaInputDStream.scala:90)
        at org.apache.spark.streaming.receiver.ReceiverSupervisor.startReceiver(ReceiverSupervisor.scala:149)
        at org.apache.spark.streaming.receiver.ReceiverSupervisor.start(ReceiverSupervisor.scala:131)
        at org.apache.spark.streaming.scheduler.ReceiverTracker$ReceiverTrackerEndpoint$$anonfun$9.apply(ReceiverTracker.scala:601)
        at org.apache.spark.streaming.scheduler.ReceiverTracker$ReceiverTrackerEndpoint$$anonfun$9.apply(ReceiverTracker.scala:591)
        at org.apache.spark.SparkContext$$anonfun$37.apply(SparkContext.scala:2212)
        at org.apache.spark.SparkContext$$anonfun$37.apply(SparkContext.scala:2212)
        at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
        at org.apache.spark.scheduler.Task.run(Task.scala:121)
        at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
        at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
        at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
        at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
        at java.base/java.lang.Thread.run(Thread.java:834)


19/06/17 18:01:06 ERROR ReceiverTracker: Deregistered receiver for stream 0: Stopped by driver
19/06/17 18:01:06 INFO ReceiverSupervisorImpl: Stopped receiver 0
19/06/17 18:01:06 ERROR TaskSetManager: Task 0 in stage 0.0 failed 1 times; aborting job
19/06/17 18:01:06 INFO BlockGenerator: Stopping BlockGenerator
19/06/17 18:01:06 INFO TaskSchedulerImpl: Removed TaskSet 0.0, whose tasks have all completed, from pool 
19/06/17 18:01:06 INFO TaskSchedulerImpl: Cancelling stage 0
19/06/17 18:01:06 INFO TaskSchedulerImpl: Killing all running tasks in stage 0: Stage cancelled
19/06/17 18:01:06 INFO DAGScheduler: ResultStage 0 (start at JavaKafkaWordCount.java:93) failed in 0.649 s due to Job aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0, localhost, executor driver): java.lang.AbstractMethodError: Receiver class org.apache.spark.streaming.kafka.KafkaReceiver does not define or inherit an implementation of the resolved method abstract initializeLogIfNecessary(ZZ)Z of interface org.apache.spark.internal.Logging.
    at org.apache.spark.internal.Logging$class.initializeLogIfNecessary(Logging.scala:99)
    at org.apache.spark.streaming.kafka.KafkaReceiver.initializeLogIfNecessary(KafkaInputDStream.scala:68)
    at org.apache.spark.internal.Logging$class.log(Logging.scala:46)
    at org.apache.spark.streaming.kafka.KafkaReceiver.log(KafkaInputDStream.scala:68)
    at org.apache.spark.internal.Logging$class.logInfo(Logging.scala:54)
    at org.apache.spark.streaming.kafka.KafkaReceiver.logInfo(KafkaInputDStream.scala:68)
    at org.apache.spark.streaming.kafka.KafkaReceiver.onStart(KafkaInputDStream.scala:90)
    at org.apache.spark.streaming.receiver.ReceiverSupervisor.startReceiver(ReceiverSupervisor.scala:149)
    at org.apache.spark.streaming.receiver.ReceiverSupervisor.start(ReceiverSupervisor.scala:131)
    at org.apache.spark.streaming.scheduler.ReceiverTracker$ReceiverTrackerEndpoint$$anonfun$9.apply(ReceiverTracker.scala:601)
    at org.apache.spark.streaming.scheduler.ReceiverTracker$ReceiverTrackerEndpoint$$anonfun$9.apply(ReceiverTracker.scala:591)
    at org.apache.spark.SparkContext$$anonfun$37.apply(SparkContext.scala:2212)
    at org.apache.spark.SparkContext$$anonfun$37.apply(SparkContext.scala:2212)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
    at org.apache.spark.scheduler.Task.run(Task.scala:121)
    at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
    at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
    at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
    at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
    at java.base/java.lang.Thread.run(Thread.java:834)

Driver stacktrace:

19/06/17 18:01:06 ИНФОРМАЦИЯ ReceiverTracker: все получатели успешно отменили регистрацию 19.06.17 18:01:06 ИНФОРМАЦИЯ ReceiverTracker: ReceiverTracker остановлен 19/06/17 18:01:06 ИНФОРМАЦИЯ JobGenerator: немедленная остановка JobGenerator

...................................

19/06/17 18:01:06 ИНФОРМАЦИЯ SparkContext: успешно остановлен SparkContext 19/06/17 18:01:06 ИНФОРМАЦИЯ ShutdownHookManager: вызван крюк отключения 19/06/17 18:01:06 ИНФОРМАЦИЯ ShutdownHookManager: Удаление каталога / tmp / spark-6728496c-68f7-427f-b0e8-11da56c6caec 19/06/17 18:01:06 ИНФОРМАЦИЯ ShutdownHookManager: Удаление каталога / tmp / spark-1ca3fa84-2c38-4855-a636-f77cfd22966b

1 Ответ

2 голосов
/ 17 июня 2019

Ваша первая строка говорит, что вы используете Scala 2.11, но kafka_2.12-..., что _2.12 - это версия Scala, получите ту, которая говорит kafka_2.11, что было бы хорошим началом.

На мой взгляд, использовать sbt намного проще, однако я здесь не буду догматичным.Используйте затмение и ручное управление зависимостями на свой страх и риск.

...