Apache Spring - nieładujące się biblioteki

 <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-core_2.11</artifactId>
        <version>1.4.0</version>
</dependency>		

 
<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/maven-v4_0_0.xsd">
    <modelVersion>4.0.0</modelVersion>
    <groupId>com.geekcap.javaworld</groupId>
    <artifactId>spark-example</artifactId>
    <packaging>jar</packaging>
    <version>1.0-SNAPSHOT</version>
    <name>spark-example</name>
    <a href="http://maven.apache.org">http://maven.apache.org</a>

    <build>
        <plugins>
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-compiler-plugin</artifactId>
                <version>2.0.2</version>
                <configuration>
                    <source>1.8</source>
                    <target>1.8</target>
                </configuration>
            </plugin>
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-jar-plugin</artifactId>
                <configuration>
                    <archive>
                        <manifest>
                            <addClasspath>true</addClasspath>
                            <classpathPrefix>lib/</classpathPrefix>
                            <mainClass>com.geekcap.javaworld.sparkexample.WordCount</mainClass>
                        </manifest>
                    </archive>
                </configuration>
            </plugin>
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-dependency-plugin</artifactId>
                <executions>
                    <execution>
                        <id>copy</id>
                        <phase>install</phase>
                        <goals>
                            <goal>copy-dependencies</goal>
                        </goals>
                        <configuration>
                            <outputDirectory>${project.build.directory}/lib</outputDirectory>
                        </configuration>
                    </execution>
                </executions>
            </plugin>
        </plugins>
    </build>

    <dependencies>

        <!-- Import Spark -->
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-core_2.11</artifactId>
            <version>1.4.0</version>
        </dependency>

        <dependency>
            <groupId>junit</groupId>
            <artifactId>junit</artifactId>
            <version>4.11</version>
            <scope>test</scope>
        </dependency>
    </dependencies>
</project>	

package com.geekcap.javaworld.sparkexample;

import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaPairRDD;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.api.java.function.FlatMapFunction;
import org.apache.spark.api.java.function.Function2;
import org.apache.spark.api.java.function.PairFunction;
import scala.Tuple2;

import java.util.Arrays;

/**
 * Sample Spark application that counts the words in a text file
 */
public class WordCount
{

    public static void wordCountJava7( String filename )
    {
        // Define a configuration to use to interact with Spark
        SparkConf conf = new SparkConf().setMaster("local").setAppName("Work Count App");

        // Create a Java version of the Spark Context from the configuration
        JavaSparkContext sc = new JavaSparkContext(conf);

        // Load the input data, which is a text file read from the command line
        JavaRDD<String> input = sc.textFile( filename );

        // Java 7 and earlier
        JavaRDD<String> words = input.flatMap(
                new FlatMapFunction<String, String>() {
                    public Iterable<String> call(String s) {
                        return Arrays.asList(s.split(" "));
                    }
                } );

        // Java 7 and earlier: transform the collection of words into pairs (word and 1)
        JavaPairRDD<String, Integer> counts = words.mapToPair(
            new PairFunction<String, String, Integer>(){
                public Tuple2<String, Integer> call(String s){
                        return new Tuple2(s, 1);
                    }
            } );

        // Java 7 and earlier: count the words
        JavaPairRDD<String, Integer> reducedCounts = counts.reduceByKey(
            new Function2<Integer, Integer, Integer>(){
                public Integer call(Integer x, Integer y){ return x + y; }
            } );

        // Save the word count back out to a text file, causing evaluation.
        reducedCounts.saveAsTextFile( "output" );
    }

    public static void wordCountJava8( String filename )
    {
        // Define a configuration to use to interact with Spark
        SparkConf conf = new SparkConf().setMaster("local").setAppName("Work Count App");

        // Create a Java version of the Spark Context from the configuration
        JavaSparkContext sc = new JavaSparkContext(conf);

        // Load the input data, which is a text file read from the command line
        JavaRDD<String> input = sc.textFile( filename );

        // Java 8 with lambdas: split the input string into words
        JavaRDD<String> words = input.flatMap( s -> Arrays.asList( s.split( " " ) ) );

        // Java 8 with lambdas: transform the collection of words into pairs (word and 1) and then count them
        JavaPairRDD<String, Integer> counts = words.mapToPair( t -> new Tuple2( t, 1 ) ).reduceByKey( (x, y) -> (int)x + (int)y );

        // Save the word count back out to a text file, causing evaluation.
        counts.saveAsTextFile( "output" );
    }

    public static void main( String[] args )
    {
        if( args.length == 0 )
        {
            System.out.println( "Usage: WordCount <file>" );
            System.exit( 0 );
        }

        wordCountJava8( args[ 0 ] );
    }
}