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<String> lines = sc.textFile("hdfs://hadoop:9000/test/spark.txt");

JavaRDD<String> words = lines.flatMap(new FlatMapFunction<String, String>() {

private static final long serialVersionUID = 1L;

@Override
public Iterable<String> call(String line) throws Exception {
return Arrays.asList(line.split(" "));
}
});

JavaPairRDD<String, Integer> pairs = words.mapToPair(new  PairFunction<String, String, Integer>() {
private static final long serialVersionUID = 1L;

@Override
public Tuple2<String, Integer> call(String word) throws Exception {
return new Tuple2<String, Integer>(word, 1);
}
});

JavaPairRDD<String, Integer> wordsCounts = pairs.reduceByKey(new Function2<Integer, Integer, Integer>() {

private static final long serialVersionUID = 1L;

@Override
public Integer call(Integer v1, Integer v2) throws Exception {
return v1 + v2;
}
});

wordsCounts.foreach(new VoidFunction<Tuple2<String,Integer>>() {

private static final long serialVersionUID = 1L;

@Override
public void call(Tuple2<String, Integer> 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