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如何修復jar文件的火花提交中的日志記錄和版本兼容性

[英]How to fix logging and version compatibility in spark-submit of jar file

 原文  2019-06-17 10:36:12  1   1    java/ scala/ apache-spark/ logging/ spark-streaming-kafka

問題描述

我正在嘗試提交一個jar文件以在spark引擎上執行。 我正在嘗試將spark與kafka集成在一起，並使用eclipse構建和導出示例代碼的jar文件https://github.com/apache/spark/tree/v2.1.1/examples

我有兩個例外：

1）版本不兼容。 我正在使用Scala 2.11.12，kafka_2.12-2.2.0，spark-2.4.3，Java版本“ 11.0.2” 2019-01-15 LTS，spark-streaming-kafka-0-8-assembly_2.11 -2.4.3我不知道要使用哪些版本以及哪些版本兼容？

2）AbstractMethodError：接收器類org.apache.spark.streaming.kafka.KafkaReceiver沒有定義或繼承已解析方法摘要的實現。

在eclipse下，我嘗試將spark-2.4.3 / jars中的所有jar作為外部jar添加。 我使用了命令：

./bin/spark-submit --files /home/symlab/software/spark-2.4.3/conf/log4j.properties --conf spark.driver.extraJavaOptions ='-Dlog4j.configuration = file：/ 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 --master本地[2] /home/symlab/software/JavaKafkaWordCount.jar本地主機：2181測試用戶組流-純文本輸入1

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

17/06/17 18:01:06 INFO ReceiverSupervisorImpl：啟動接收器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 INFO ReceiverTracker：所有接收器均已成功注銷19/06/17 18:01:06 INFO ReceiverTracker：ReceiverTracker停止19/06/17 18:01:06 INFO JobGenerator：停止JobGenerator立即

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

19/06/17 18:01:06 INFO SparkContext：成功停止SparkContext 19/06/17 18:01:06 INFO ShutdownHookManager：名為19/06/17的Shutdown掛鈎INFO ShutdownHookManager：刪除目錄/ tmp / spark-6728496c-68f7-427f-b0e8-11da56c6caec 19/06/17 18:01:06信息ShutdownHookManager：刪除目錄/ tmp / spark-1ca3fa84-2c38-4855-a636-f77cfd22966b

1 個解決方案

解決方案1
 2 已采納  2019-06-17 13:50:16

您的第一行說您正在使用Scala 2.11，但是kafka_2.12-... _2.12是Scala版本，請獲得一個說kafka_2.11版本，這將是一個好的開始。

我認為使用sbt容易得多，但是在這里我會避免教條主義。 使用Eclipse和手動依賴項管理需要您自擔風險。

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