首先创建Spark的Maven工程,我这里使用的是Eclipse。

1、编写WordCountApp代码

package com.mengyao.spark.java.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; /**
* Spark的WordCount程序
* @author mengyao
*
*/
public class WordCountApp { public static void main(String[] args) { /**
* 1、创建SparkConf对象,设置Spark应用程序的配置信息
*/
SparkConf conf = new SparkConf()
//设置Spark应用程序的名称
.setAppName(WordCountApp.class.getSimpleName());
     /**
* 2、创建SparkContext对象,Java开发使用JavaSparkContext;Scala开发使用SparkContext
* 在Spark中,SparkContext负责连接Spark集群,创建RDD、累积量和广播量等。
* Master参数是为了创建TaskSchedule(较低级的调度器,高层次的调度器为DAGSchedule),如下:
* 如果setMaster("local")则创建LocalSchedule;
* 如果setMaster("spark")则创建SparkDeploySchedulerBackend。在SparkDeploySchedulerBackend的start函数,会启动一个Client对象,连接到Spark集群。
*/
JavaSparkContext sc = new JavaSparkContext(conf); /**
* 3、sc中提供了textFile方法是SparkContext中定义的,如下:
* def textFile(path: String): JavaRDD[String] = sc.textFile(path)
* 用来读取HDFS上的文本文件、集群中节点的本地文本文件或任何支持Hadoop的文件系统上的文本文件,它的返回值是JavaRDD[String],是文本文件每一行
*/
JavaRDD<String> lines = sc.textFile("hdfs://soy1:9000/mapreduces/word.txt"); /**
* 4、将行文本内容拆分为多个单词
* lines调用flatMap这个transformation算子(参数类型是FlatMapFunction接口实现类)返回每一行的每个单词
*/
JavaRDD<String> words = lines.flatMap(new FlatMapFunction<String, String>(){
private static final long serialVersionUID = -3243665984299496473L;
@Override
public Iterable<String> call(String line) throws Exception {
return Arrays.asList(line.split("\t"));
}
}); /**
* 5、将每个单词的初始数量都标记为1个
* words调用mapToPair这个transformation算子(参数类型是PairFunction接口实现类,PairFunction<String, String, Integer>的三个参数是<输入单词, Tuple2的key, Tuple2的value>),返回一个新的RDD,即JavaPairRDD
*/
JavaPairRDD<String, Integer> pairs = words.mapToPair(new PairFunction<String, String, Integer>() {
private static final long serialVersionUID = -7879847028195817507L;
@Override
public Tuple2<String, Integer> call(String word) throws Exception {
return new Tuple2<String, Integer>(word, 1);
}
}); /**
* 6、计算每个相同单词出现的次数
* pairs调用reduceByKey这个transformation算子(参数是Function2接口实现类)对每个key的value进行reduce操作,返回一个JavaPairRDD,这个JavaPairRDD中的每一个Tuple的key是单词、value则是相同单词次数的和
*/
JavaPairRDD<String, Integer> wordCount = pairs.reduceByKey(new Function2<Integer, Integer, Integer>() {
private static final long serialVersionUID = -4171349401750495688L;
@Override
public Integer call(Integer v1, Integer v2) throws Exception {
return v1+v2;
}
}); /**
* 7、使用foreach这个action算子提交Spark应用程序
* 在Spark中,每个应用程序都需要transformation算子计算,最终由action算子触发作业提交
*/
wordCount.foreach(new VoidFunction<Tuple2<String,Integer>>() {
private static final long serialVersionUID = -5926812153234798612L;
@Override
public void call(Tuple2<String, Integer> wordCount) throws Exception {
System.out.println(wordCount._1+":"+wordCount._2);
}
}); /**
* 8、将计算结果文件输出到文件系统
* HDFS:
* 使用新版API(org.apache.hadoop.mapreduce.lib.output.TextOutputFormat;)
* wordCount.saveAsNewAPIHadoopFile("hdfs://ns1/spark/wordcount", Text.class, IntWritable.class, TextOutputFormat.class, new Configuration());
* 使用旧版API(org.apache.hadoop.mapred.JobConf;org.apache.hadoop.mapred.OutputFormat;)
* wordCount.saveAsHadoopFile("hdfs://ns1/spark/wordcount", Text.class, IntWritable.class, OutputFormat.class, new JobConf(new Configuration()));
* 使用默认TextOutputFile写入到HDFS(注意写入HDFS权限,如无权限则执行:hdfs dfs -chmod -R 777 /spark)
* wordCount.saveAsTextFile("hdfs://soy1:9000/spark/wordCount");
*/
wordCount.saveAsTextFile("hdfs://soy1:9000/spark/wordCount"); /**
* 9、关闭SparkContext容器,结束本次作业
*/
sc.close(); } }

2、打成jar包上传到集群中

aaarticlea/png;base64,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" alt="" />

3、使用spark/bin/spark-submit工具提交Spark应用到集群中(运行模式为yarn-cluster)

bin/spark-submit

--class com.mengyao.spark.java.core.WordCountApp

--master yarn-cluster

--num-executors 3

--driver-memory 512m

--executor-cores 3

/usr/local/apps/spark.java-0.0.1-SNAPSHOT-jar-with-dependencies.jar

4、POM文件如下:

<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/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion> <groupId>com.mengyao</groupId>
<artifactId>spark.java</artifactId>
<version>0.0.1-SNAPSHOT</version>
<packaging>jar</packaging> <name>spark.java</name>
<url>http://maven.apache.org</url> <properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<junit.version>4.10</junit.version>
<spark.version>1.3.0</spark.version>
<hadoop.version>2.4.1</hadoop.version>
</properties> <dependencies>
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<version>${junit.version}</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.10</artifactId>
<version>${spark.version}</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-sql_2.10</artifactId>
<version>${spark.version}</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-hive_2.10</artifactId>
<version>${spark.version}</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming_2.10</artifactId>
<version>${spark.version}</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming-kafka_2.10</artifactId>
<version>${spark.version}</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-client</artifactId>
<version>${hadoop.version}</version>
</dependency>
</dependencies> <build>
<sourceDirectory>src/main/java</sourceDirectory>
<testSourceDirectory>src/main/test</testSourceDirectory> <plugins>
<plugin>
<artifactId>maven-assembly-plugin</artifactId>
<configuration>
<descriptorRefs>
<descriptorRef>jar-with-dependencies</descriptorRef>
</descriptorRefs>
<archive>
<manifest>
<mainClass></mainClass>
</manifest>
</archive>
</configuration>
<executions>
<execution>
<id>make-assembly</id>
<phase>package</phase>
<goals>
<goal>single</goal>
</goals>
</execution>
</executions>
</plugin> <plugin>
<groupId>org.codehaus.mojo</groupId>
<artifactId>exec-maven-plugin</artifactId>
<version>1.2.1</version>
<executions>
<execution>
<goals>
<goal>exec</goal>
</goals>
</execution>
</executions>
<configuration>
<executable>java</executable>
<includeProjectDependencies>true</includeProjectDependencies>
<includePluginDependencies>false</includePluginDependencies>
<classpathScope>compile</classpathScope>
<mainClass>com.mengyao.spark.java.core.WordCountApp</mainClass>
</configuration>
</plugin> <plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-compiler-plugin</artifactId>
<version>2.3.2</version>
<configuration>
<source>1.6</source>
<target>1.6</target>
</configuration>
</plugin> </plugins>
</build>
</project>

SparkSession spark = SparkSession.builder()
.master("local[2]")
.appName("ALSCase")
.getOrCreate();

// 从SparkSession.sparkContext()中创建RDD(使用Java调用ScalaAPI)

JavaRDD<Rating> ratingsRDD = spark.sparkContext()
.parallelize(JavaConverters.asScalaBufferConverter(exampleData).asScala().seq(), 1, ClassManifestFactory.classType(String.class))
.toJavaRDD()
.map(Rating::parseRating);
System.out.println(ratingsRDD.count());

Spark-Java版本WordCount示例的更多相关文章

  1. demo1 spark streaming 接收 kafka 数据java代码WordCount示例

    1. 首先启动zookeeper windows上的安装见zk 02之 Windows安装和使用zookeeper 启动后见: 2. 启动kafka windows的安装kafka见Windows上搭 ...

  2. spark streaming 接收 kafka 数据java代码WordCount示例

    http://www.cnblogs.com/gaopeng527/p/4959633.html

  3. Spark:用Scala和Java实现WordCount

    http://www.cnblogs.com/byrhuangqiang/p/4017725.html 为了在IDEA中编写scala,今天安装配置学习了IDEA集成开发环境.IDEA确实很优秀,学会 ...

  4. Hadoop2.6.0版本MapReudce示例之WordCount(二)

    继<Hadoop2.6.0版本MapReudce示例之WordCount(一)>之后,我们继续看MapReduce的WordCount示例,看看如何监控作业运行或查看历史记录,以及作业运行 ...

  5. WordCount示例深度学习MapReduce过程(1)

    我们都安装完Hadoop之后,按照一些案例先要跑一个WourdCount程序,来测试Hadoop安装是否成功.在终端中用命令创建一个文件夹,简单的向两个文件中各写入一段话,然后运行Hadoop,Wou ...

  6. SparkSql官方文档中文翻译(java版本)

    1 概述(Overview) 2 DataFrames 2.1 入口:SQLContext(Starting Point: SQLContext) 2.2 创建DataFrames(Creating ...

  7. 运行spark官方的graphx 示例 ComprehensiveExample.scala报错解决

    运行spark官方的graphx 示例 ComprehensiveExample.scala报错解决 在Idea中,直接运行ComprehensiveExample.scala,报需要指定master ...

  8. WordCount示例深度学习MapReduce过程

    转自: http://blog.csdn.net/yczws1/article/details/21794873 . 我们都安装完Hadoop之后,按照一些案例先要跑一个WourdCount程序,来测 ...

  9. windows下 eclipse搭建spark java编译环境

    环境: win10 jdk1.8 之前有在虚拟机或者集群上安装spark安装包的,解压到你想要放spark的本地目录下,比如我的目录就是D:\Hadoop\spark-1.6.0-bin-hadoop ...

随机推荐

  1. 对BFC的理解

    转载http://www.cnblogs.com/lhb25/p/inside-block-formatting-ontext.html 在解释 BFC 是什么之前,需要先介绍 Box.Formatt ...

  2. PHP全局变量

    1.global 关键字 2.$GLOBALS 3.使用静态变量

  3. Git中的fetch和pull

    http://blog.haohtml.com/archives/12674 Git中从远程的分支获取最新的版本到本地有这样2个命令: 1. git fetch:相当于是从远程获取最新版本到本地,不会 ...

  4. Android使用adb工具及root权限完成手机抓包

    1.环境准备/注意: 手机要求已经root. 首先需要配置JDK环境变量,这里主要讲解抓包,JDK环境变量配置跳过. 将包内附带的adb.zip解压到C盘根目录.  整个操作过程都需要用手机用数据线连 ...

  5. 内网DMZ外网之间的访问规则

    当规划一个拥有DMZ的网络时候,我们可以明确各个网络之间的访问关系,可以确定以下六条访问控制策略. 1.内网可以访问外网 内网的用户显然需要自由地访问外网.在这一策略中,防火墙需要进行源地址转换. 2 ...

  6. [BZOJ 3531] [Sdoi2014] 旅行 【离线+LCT】

    题目链接:BZOJ - 3531 题目分析 题目询问一条路径上的信息时,每次询问有某种特定的文化的点. 每个点的文化就相当于一种颜色,每次询问一条路径上某种颜色的点的信息. 可以使用离线算法, 类似于 ...

  7. Logstash同步Oracle数据到ElasticSearch

    最近在项目上应用到了ElasticSearch和Logstash,在此主要记录了Logstash-input-jdbc同步Oracle数据库到ElasticSearch的主要步骤,本文是对环境进行简单 ...

  8. 3G 2G GPRS 1G的概念

    3G, 第三代移动通信技术(3rd-generation,3G),是指支持高速数据传输的蜂窝移动通讯技术.3G服务 能够同时传送声音及数据信息,速率一般在几百kbps以上.3G标准:它们分别是WCDM ...

  9. 如何使用 Cloud Insight SDK 实现 Druid 监控?

    Druid 简介与用途 首先说明,这里所说的 Druid 并不是阿里巴巴的数据库连接池项目,而是 Eric Tschetter 创立的一个开源的分布式实时处理系统,希望为烧钱的大数据处理,提供一种更廉 ...

  10. 【Xamarin挖墙脚系列:配置Mac之间的连接问题】

    原文:[Xamarin挖墙脚系列:配置Mac之间的连接问题] 首先建议把MAC的防火墙关掉,呵呵, 其次,去设置里,允许所有用户远程登录连接MAC