Spark在Eclipse运行的demo

刚接触Spark，很多还都不是太懂，查看了别人写的中文API：Spark中文文档 根据里面的参数写了一个最简单的调用，如果maven已配好的话，可以直接运行

<dependency>
	<groupId>org.apache.spark</groupId>
	<artifactId>spark-core_2.10</artifactId>
	<version>1.5.2</version>
</dependency>
<dependency>
	<groupId>org.apache.spark</groupId>
	<artifactId>spark-sql_2.10</artifactId>
	<version>1.5.2</version>
</dependency>
<dependency>
	<groupId>org.apache.hadoop</groupId>
	<artifactId>hadoop-client</artifactId>
	<version>1.2.0</version>
</dependency>

下面是最简单的一个demo，是获取某个文本文件下，每行的长度

import java.io.Serializable;

import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.api.java.function.Function;
import org.apache.spark.api.java.function.VoidFunction;

public class SparkMainTest implements Serializable {

	/**   */
	private static final long serialVersionUID = 4746372206301124368L;

	public static void main(String[] args) throws Exception {
		SparkConf conf = new SparkConf().setAppName("WordCounter").setMaster("local");

		String fileName = "C:/Users/dulinan/Desktop/LICENSE.txt";

		JavaSparkContext sc = new JavaSparkContext(conf);
		
		JavaRDD<String> lines = sc.textFile(fileName, 1);
		
		JavaRDD<Integer> add = lines.map(new Function<String, Integer>() {

            private static final long serialVersionUID = 1L;

			@Override
            public Integer call(String v1) throws Exception {
	            return v1.length();
            }
		});
		
		add.foreach(new VoidFunction<Integer>() {
			
            private static final long serialVersionUID = 1L;

			@Override
			public void call(Integer t) throws Exception {
				System.out.println(t);
			}
		});
		
		sc.close();
	}

}