火花提交引发错误java.lang.ClassNotFoundException:scala.runtime.java8.JFunction2 $ mcIII $ sp [英] spark submit throws an error java.lang.ClassNotFoundException: scala.runtime.java8.JFunction2$mcIII$sp

问题描述

我写了一个用于字数统计的代码，但是当我尝试使用以下命令在Windows的CMD中运行它时，会抛出异常.

I wrote a code for word count but when I tried running it from CMD in windows using below command it throws an exception.

spark-submit --class com.sample.WordCount --master local file:///E:/WordCountSample/target/WordCountSample-0.0.1-SNAPSHOT.jar file:///C:/Users/siddh/OneDrive/Desktop/sample.txt

pom.xml

<project xmlns="http://maven.apache.org/POM/4.0.0"
    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
    xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>

    <groupId>SparkSampleInScala</groupId>
    <artifactId>WordCountSample</artifactId>
    <version>0.0.1-SNAPSHOT</version>
    <packaging>jar</packaging>
    <name>WordCountSample</name>
    <url>http://maven.apache.org</url>

    <properties>
        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
    </properties>

    <!--<build> <plugins> <plugin> <groupId>org.apache.maven.plugins</groupId> 
        <artifactId>maven-surefire-plugin</artifactId> <version>3.0.0-M1</version> 
        </plugin> </plugins> </build> -->
    <dependencies>

        <!-- https://mvnrepository.com/artifact/org.apache.spark/spark-core -->
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-core_2.12</artifactId>
            <version>2.4.0</version>
        </dependency>
        <!-- https://mvnrepository.com/artifact/org.scala-lang/scala-library -->
<dependency>
    <groupId>org.scala-lang</groupId>
    <artifactId>scala-library</artifactId>
    <version>2.12.8</version>
</dependency>


    </dependencies>
</project>  

但是当我运行spark提交时，它抛出以下错误:

but when I ran spark submit it throws below error:

Exception in thread "main" java.lang.BootstrapMethodError: java.lang.NoClassDefFoundError: scala/runtime/java8/JFunction2$mcIII$sp
        at com.sample.WordCount$.main(WordCount.scala:22)
        at com.sample.WordCount.main(WordCount.scala)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:498)
        at org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
        at org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:849)
        at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:167)
        at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:195)
        at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:86)
        at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:924)
        at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:933)
        at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.lang.NoClassDefFoundError: scala/runtime/java8/JFunction2$mcIII$sp
        ... 14 more
Caused by: java.lang.ClassNotFoundException: scala.runtime.java8.JFunction2$mcIII$sp

那么在这种情况下需要做些什么?我正在使用Windows中已经安装的spark 2.4.0版本和scala 2.12.8 version. 几天以来我一直陷入困境，请帮帮我. 在此先感谢:)

So what all needs to be done in this case?? I am using spark 2.4.0 version and scala 2.12.8 version which is already installed on my windows. Please help me since I am stuck in this since few days. Thanks in advance :)

推荐答案

看起来像您在Scala 2.12中使用2.4.x.这可能是兼容性问题. Spark文档参考:- Spark可在Java 8 +，Python 2.7 +/3.4 +和R 3.1+上运行.对于Scala API，Spark 2.4.0使用Scala 2.11.您将需要使用兼容的Scala版本(2.11.x).

looks like you are using 2.4.x with Scala 2.12. It might be compatibility issue. Spark documentation reference:- Spark runs on Java 8+, Python 2.7+/3.4+ and R 3.1+. For the Scala API, Spark 2.4.0 uses Scala 2.11. You will need to use a compatible Scala version (2.11.x).

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