将java开发的wordcount程序部署到spark集群上运行

package cn.spark.study.core;

import java.util.Arrays;

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 org.apache.spark.api.java.function.VoidFunction;

import scala.Tuple2;

/**
 * 将java开发的wordcount程序部署到spark集群上运行
 * @author Administrator
 *
 */
public class WordCountCluster {
    public static void main(String[] args) {
        
        
        // 如果要在spark集群上运行，需要修改的，只有两个地方
        // 第一，将SparkConf的setMaster()方法给删掉，默认它自己会去连接
        // 第二，我们针对的不是本地文件了，修改为hadoop hdfs上的真正的存储大数据的文件
        
        // 实际执行步骤：
        // 1、将spark.txt文件上传到hdfs上去
        // 2、使用我们最早在pom.xml里配置的maven插件，对spark工程进行打包
        // 3、将打包后的spark工程jar包，上传到机器上执行
        // 4、编写spark-submit脚本
        // 5、执行spark-submit脚本，提交spark应用到集群执行
        SparkConf conf = new SparkConf()
        .setAppName("WordCountCluster");
        
        JavaSparkContext sc = new JavaSparkContext(conf);
        
        
        JavaRDD lines = sc.textFile("hdfs://hadoop:9000/test/spark.txt");
        
        JavaRDD words = lines.flatMap(new FlatMapFunction() {

            private static final long serialVersionUID = 1L;

            @Override
            public Iterable call(String line) throws Exception {
                return Arrays.asList(line.split(" "));
            }
        });
        
        JavaPairRDD pairs = words.mapToPair(new  PairFunction() {
            private static final long serialVersionUID = 1L;

            @Override
            public Tuple2 call(String word) throws Exception {
                return new Tuple2(word, 1);
            }
        });
        
        JavaPairRDD wordsCounts = pairs.reduceByKey(new Function2() {
            
            private static final long serialVersionUID = 1L;

            @Override
            public Integer call(Integer v1, Integer v2) throws Exception {
                return v1 + v2;
            }
        });
        
        wordsCounts.foreach(new VoidFunction>() {
            
            private static final long serialVersionUID = 1L;

            @Override
            public void call(Tuple2 tuple) throws Exception {
                System.out.println(tuple._1+":"+tuple._2);
            }
        });
        
        sc.close();
        
    }

}

spark-submit脚本

/usr/local/spark/bin/spark-submit \
--class cn.spark.sparktest.core.WordCountCluster \
--num-executors 3 \
--driver-memory 100m \
--executor-memory 100m \
--executor-cores 3 \
/usr/local/SparkTest-0.0.1-SNAPSHOT-jar-with-dependencies.jar \

集群环境下要加  --master spark://192.168.1.107:7077