Intellij idea下spark开发HelloWorld
开发环境 Intellij idea 14 jdk: 1.7.71 spark: 1.1.0 hadoop: 2.4.0 scala: 2.11.1 maven: 3.2.5 创建maven工程 在src目录下创建main/java的source文件(在File –> Project Structure…–>Modules–>Sources右键添加目录和修改目录为source类型) 在File –> Project Structure…–>Libraries添加spark-assembly-1.1.0-hadoop2.4.0的依赖包 3. java目录下编写Wordcount例子程序 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; import java.util.List; import java.util.regex.Pattern; public class JavaWordCount { private static final Pattern SPACE = Pattern.compile(" "); public static void main(String[] args)throws Exception { SparkConf sparkConf = new SparkConf().setAppName("JavaWordCount"); String srcPath = null; String desPath = "/apps/ca/yanh/output"; if (args.length == 1) { srcPath = args[0]; } else if(args.length == 2) { srcPath = args[0]; desPath = args[1]; } else { System.out.println("Usage: java -jar jarName <src> [des]"); System.exit(1); } JavaSparkContext jsc = new JavaSparkContext(sparkConf); JavaRDD<String> lines = jsc.textFile(srcPath, 1); System.out.println("Begin to split!"); JavaRDD<String> words = lines.flatMap(new FlatMapFunction<String, String>() { @Override public Iterable<String> call(String s) throws Exception { return Arrays.asList(SPACE.split(" ")); } }); System.out.println("Begin to map!"); JavaPairRDD<String, Integer> ones = words.mapToPair(new PairFunction<String, String, Integer>() { @Override public Tuple2<String, Integer> call(String s) throws Exception { return new Tuple2<String, Integer>(s, 1); } }); System.out.println("Begin to reduce!"); JavaPairRDD<String, Integer> counts = ones.reduceByKey(new Function2<Integer, Integer, Integer>() { @Override public Integer call(Integer i1, Integer i2) throws Exception { return i1 + i2; } }); System.out.println("Begin to save!"); /*List<Tuple2<String, Integer>> output = counts.collect(); for(Tuple2<?, ?> tuple: output) { System.out.println(tuple._1() + ": " + tuple._2()); }*/ counts.saveAsTextFile(desPath); jsc.stop(); } } 打包成jar包 在File –> Project Structure…–>Artifacts点击绿色“+”,Add–>JAR–>From Modules with Dependencies 输入main class入口函数名,将Output Layout下所有jar包删掉(因为spark运行环境已经包含了这些包),然后Apply 编译程序:Build–>Build Artifacts…,然后选择要编译的项目进行编译 在当前工程生成的out目录下就可以找到输出的jar包 运行程序 将jar包上传至spark集群,然后使用spark-submit进行提交运行(spark-submit具体参数自行查看) 提交命令:spark-submit –class JavaWordCount ~/JavaWordCount.jar /apps/ca/yanh/data/README.md 这是由于缺少本地库依赖和压缩包引起。 在此提供了这个包:http://pan.baidu.com/s/1rqkQa spark-submit命令: spark-submit –driver-library-path :/usr/lib/hadoop/lib/native/ –jars /usr/lib/hadoop/lib/hadoop-lzo-0.6.0.jar –class JavaWordCount ~/JavaWordCount.jar /apps/ca/yanh/data/README.md 来自yhao2014