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From Felix Cheung <felixcheun...@hotmail.com>
Subject Re: java.lang.IllegalArgumentException: Unsupported class file major version 55
Date Sun, 10 Feb 2019 23:23:37 GMT
And it might not work completely. Spark only officially supports JDK 8.

I’m not sure if JDK 9 and + support is complete?


________________________________
From: Jungtaek Lim <kabhwan@gmail.com>
Sent: Thursday, February 7, 2019 5:22 AM
To: Gabor Somogyi
Cc: Hande, Ranjit Dilip (Ranjit); user@spark.apache.org
Subject: Re: java.lang.IllegalArgumentException: Unsupported class file major version 55

ASM 6 doesn't support Java 11. In master branch (for Spark 3.0) there's dependency upgrade
on ASM 7 and also some efforts (if my understanding is right) to support Java 11, so you may
need to use lower version of JDK (8 safest) for Spark 2.4.0, and try out master branch for
preparing Java 11.

Thanks,
Jungtaek Lim (HeartSaVioR)

2019년 2월 7일 (목) 오후 9:18, Gabor Somogyi <gabor.g.somogyi@gmail.com<mailto:gabor.g.somogyi@gmail.com>>님이
작성:
Hi Hande,

"Unsupported class file major version 55" means java incompatibility.
This error means you're trying to load a Java "class" file that was compiled with a newer
version of Java than you have installed.
For example, your .class file could have been compiled for JDK 8, and you're trying to run
it with JDK 7.
Are you sure 11 is the only JDK which is the default?

Small number of peoples playing with JDK 11 but not heavily tested and used.
Spark may or may not work but not suggested for production in general.

BR,
G


On Thu, Feb 7, 2019 at 12:53 PM Hande, Ranjit Dilip (Ranjit) <hande@avaya.com<mailto:hande@avaya.com>>
wrote:
Hi,

I am developing one java process which will consume data from Kafka using Apache Spark Streaming.
For this I am using following:

Java:
openjdk version "11.0.1" 2018-10-16 LTS
OpenJDK Runtime Environment Zulu11.2+3 (build 11.0.1+13-LTS) OpenJDK 64-Bit Server VM Zulu11.2+3
(build 11.0.1+13-LTS, mixed mode)

Maven: (Spark Streaming)
<dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-streaming-kafka-0-10_2.11</artifactId>
        <version>2.4.0</version>
</dependency>
<dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-streaming_2.11</artifactId>
        <version>2.4.0</version>
</dependency>

I am able to compile project successfully but when I try to run I get following error:

{"@timestamp":"2019-02-07T11:54:30.624+05:30","@version":"1","message":"Application run failed","logger_name":"org.springframework.boot.SpringApplication","thread_name":"main","level":"ERROR","level_value":40000,"stack_trace":"java.lang.IllegalStateException:
Failed to execute CommandLineRunner at org.springframework.boot.SpringApplication.callRunner(SpringApplication.java:816)
at org.springframework.boot.SpringApplication.callRunners(SpringApplication.java:797) at org.springframework.boot.SpringApplication.run(SpringApplication.java:324)
at com.avaya.measures.AgentMeasures.AgentMeasuresApplication.main(AgentMeasuresApplication.java:41)
at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.base/java.lang.reflect.Method.invoke(Method.java:566) at org.springframework.boot.loader.MainMethodRunner.run(MainMethodRunner.java:48)
at org.springframework.boot.loader.Launcher.launch(Launcher.java:87) at

org.springframework.boot.loader.Launcher.launch(Launcher.java:50) at org.springframework.boot.loader.JarLauncher.main(JarLauncher.java:51)\r\nCaused
by: 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)\r\n"}

So I have two questions:
1. Am I doing something wrong?
2. Is OpenJDK version "11.0.1" supported with Apache Spark Streaming version
2.4.0

Thanks in anticipation.

Regards,
Ranjit




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