Flink --- hello world

http://www.louisvv.com/archives/2110.html

https://www.jianshu.com/p/68916106c73b

Macbook pro maven 环境及Flink 环境搭建

MAC上安装maven以及配置Intellij IDEA

https://www.cnblogs.com/zhuwf/p/11646617.html

IDEA中： option + enter 导包

先用 ： $ nc -lk 80 打开端口

 

配置文件：

<?xml version="1.0" encoding="UTF-8"?>

<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.jd</groupId>
  <artifactId>maven_demo</artifactId>
  <version>1.0-SNAPSHOT</version>

  <name>maven_demo</name>
  <!-- FIXME change it to the project's website -->
  <url>http://www.example.com</url>

  <properties>
    <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
    <maven.compiler.source>1.7</maven.compiler.source>
    <maven.compiler.target>1.7</maven.compiler.target>
  </properties>

  <dependencies>
    <dependency>
      <groupId>junit</groupId>
      <artifactId>junit</artifactId>
      <version>4.11</version>
      <scope>test</scope>
    </dependency>



    <dependency>
      <groupId>org.apache.flink</groupId>
      <artifactId>flink-java</artifactId>
      <version>1.7.0</version>
    </dependency>
    <dependency>
      <groupId>org.apache.flink</groupId>
      <artifactId>flink-streaming-java_2.11</artifactId>
      <version>1.7.0</version>
    </dependency>
    <dependency>
      <groupId>org.apache.flink</groupId>
      <artifactId>flink-clients_2.11</artifactId>
      <version>1.7.0</version>
    </dependency>

  </dependencies>

  <build>
    <pluginManagement><!-- lock down plugins versions to avoid using Maven defaults (may be moved to parent pom) -->
      <plugins>
        <!-- clean lifecycle, see https://maven.apache.org/ref/current/maven-core/lifecycles.html#clean_Lifecycle -->
        <plugin>
          <artifactId>maven-clean-plugin</artifactId>
          <version>3.1.0</version>
        </plugin>
        <!-- default lifecycle, jar packaging: see https://maven.apache.org/ref/current/maven-core/default-bindings.html#Plugin_bindings_for_jar_packaging -->
        <plugin>
          <artifactId>maven-resources-plugin</artifactId>
          <version>3.0.2</version>
        </plugin>
        <plugin>
          <artifactId>maven-compiler-plugin</artifactId>
          <version>3.8.0</version>
        </plugin>
        <plugin>
          <artifactId>maven-surefire-plugin</artifactId>
          <version>2.22.1</version>
        </plugin>
        <plugin>
          <artifactId>maven-jar-plugin</artifactId>
          <version>3.0.2</version>
        </plugin>
        <plugin>
          <artifactId>maven-install-plugin</artifactId>
          <version>2.5.2</version>
        </plugin>
        <plugin>
          <artifactId>maven-deploy-plugin</artifactId>
          <version>2.8.2</version>
        </plugin>
        <!-- site lifecycle, see https://maven.apache.org/ref/current/maven-core/lifecycles.html#site_Lifecycle -->
        <plugin>
          <artifactId>maven-site-plugin</artifactId>
          <version>3.7.1</version>
        </plugin>
        <plugin>
          <artifactId>maven-project-info-reports-plugin</artifactId>
          <version>3.0.0</version>
        </plugin>
      </plugins>
    </pluginManagement>
  </build>
</project>

　　

代码：

package com.jd;

import org.apache.flink.api.common.functions.FlatMapFunction;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.util.Collector;

/**
 * Hello world!
 *
 */
//public class App
//{
//    public static void main( String[] args )
//    {
//        System.out.println( "Hello World!" );
//    }
//}



public class App {
    public static void main(String[] args) throws Exception {
        //  获取运行环境
        final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        //  通过socket获取源数据


        DataStream<String> sourceData = env.socketTextStream("localhost", 80);
        /**
         *  数据源进行处理
         *  flatMap方法与spark一样，对数据进行扁平化处理
         *  将每行的单词处理为<word,1>
         */
        DataStream<Tuple2<String, Integer>> dataStream = sourceData.flatMap(new FlatMapFunction<String, Tuple2<String, Integer>>() {
            @Override
            public void flatMap(String s, Collector<Tuple2<String, Integer>> collector) throws Exception {
                String[] words = s.split(" ");
                for (String word : words) {
                    collector.collect(new Tuple2<String, Integer>(word, 1));
                }
            }
        })
                // 相同的单词进行分组
                .keyBy(0)
                //  聚合数据
                .sum(1);
        //  将数据流打印到控制台
        dataStream.print();
        /**
         *  Flink与Spark相似，通过action进行出发任务执行，其他的步骤均为lazy模式
         *  这里env.execute就是一个action操作，触发任务执行
         */
        env.execute("streaming word count");
    }
}

　　

flinkJavaDemo：https://github.com/zhanglangJD/flinkJavaDemo

Flink视频课程：https://www.bilibili.com/video/BV1mE41127vE?from=search&seid=12671111786713912567