错误：java.lang.NoClassDefFoundError:org/apache/spark/internal/Logging

我试图在spark中创建SparkSession（运行NaiveBayes模型），但出现以下错误：

Exception in thread "main" java.lang.NoClassDefFoundError: org/apache/spark/internal/Logging
at java.lang.ClassLoader.defineClass1(Native Method)
at java.lang.ClassLoader.defineClass(Unknown Source)
at java.security.SecureClassLoader.defineClass(Unknown Source)
at java.net.URLClassLoader.defineClass(Unknown Source)
at java.net.URLClassLoader.access$100(Unknown Source)
at java.net.URLClassLoader$1.run(Unknown Source)
at java.net.URLClassLoader$1.run(Unknown Source)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(Unknown Source)
at java.lang.ClassLoader.loadClass(Unknown Source)
at sun.misc.Launcher$AppClassLoader.loadClass(Unknown Source)
at java.lang.ClassLoader.loadClass(Unknown Source)
at com.bnym.spark.SparkML.App.main(App.java:20)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.internal.Logging
at java.net.URLClassLoader.findClass(Unknown Source)
at java.lang.ClassLoader.loadClass(Unknown Source)
at sun.misc.Launcher$AppClassLoader.loadClass(Unknown Source)
at java.lang.ClassLoader.loadClass(Unknown Source)
... 13 more

我的java代码非常简单：

package com.bnym.spark.SparkML;

import org.apache.spark.ml.classification.NaiveBayes;
import org.apache.spark.ml.classification.NaiveBayesModel;
import org.apache.spark.ml.evaluation.MulticlassClassificationEvaluator;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Row;
import org.apache.spark.sql.SparkSession;

/**
 * Naive Bayes Example
 *
 */
public class App 
{
 public static void main( String[] args )
 {
  //System.out.println( "Hello World!" );       
  SparkSession spark = SparkSession
    .builder()
    .appName("NB")
    .getOrCreate();

  // Load training data
  //Dataset<Row> dataFrame = spark.read().format("libsvm").load("data/mllib/sample_libsvm_data.txt");
 }
}

包com.bnym.spark.SparkML；
导入org.apache.spark.ml.classification.bayes；
导入org.apache.spark.ml.classification.bayesmodel；
导入org.apache.spark.ml.evaluation.MultiClassificationEvaluator；
导入org.apache.spark.sql.Dataset；
导入org.apache.spark.sql.Row；
导入org.apache.spark.sql.SparkSession；
/**
*朴素贝叶斯例子
*
*/
公共类应用程序
{
公共静态void main（字符串[]args）
{
//System.out.println（“你好，世界！”）；
火花会话火花=火花会话
.builder（）
.appName（“NB”）
.getOrCreate（）；
//负荷训练数据
//Dataset dataFrame=spark.read（）.format（“libsvm”）.load（“data/mllib/sample_libsvm_data.txt”）；
}
}

我的pom.xml文件如下：

<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>com.bnym.spark</groupId>
  <artifactId>SparkML</artifactId>
  <version>0.0.1-SNAPSHOT</version>
  <packaging>jar</packaging>

  <name>SparkML</name>
  <url>http://maven.apache.org</url>

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

  <dependencies>
 <dependency>
   <groupId>junit</groupId>
   <artifactId>junit</artifactId>
   <version>3.8.1</version>
   <scope>test</scope>
 </dependency>
  <!-- https://mvnrepository.com/artifact/org.apache.spark/spark-mllib_2.10 -->
<dependency>
 <groupId>org.apache.spark</groupId>
 <artifactId>spark-mllib_2.10</artifactId>
 <version>1.6.0</version>
 <scope>provided</scope>
</dependency>  

 <!-- https://mvnrepository.com/artifact/org.apache.spark/spark-sql_2.10 -->
<dependency>
 <groupId>org.apache.spark</groupId>
 <artifactId>spark-sql_2.10</artifactId>
 <version>2.0.0</version>    
</dependency>

  </dependencies>
</project>

4.0.0
com.bnym.spark
斯巴克米尔
0.0.1-快照
罐子
斯巴克米尔
http://maven.apache.org
UTF-8
朱尼特
朱尼特
3.8.1
测试
org.apache.spark
spark-mllib_2.10
1.6.0
假如
org.apache.spark
spark-sql_2.10
2.0.0    

---

如果您能帮我找出错误原因，我将不胜感激。

请参阅1.5.2版。无法导入：org.apache.spark.sql.SparkSession；org.apache.spark.sql.Dataset；