标签：Flink 示例 flink wordcount import apache org

概述

希望通过本示例对flink 有一个轮廓性的认识

本示例实现效果：flink 连接 Socket Server，从Socker Server 中按行读取数据作为数据输入，将输入的数据根据空格切分、分组、求和，最终在控制台输出各个词组出现的次数

前置条件

Flink 集群
开发工具 Intellij idea
开发语言---本示例采用java

示例中采用的版本信息

Flink 集群：flink-1.15.2
JDK： 11
spring boot版本：2.7.5

WordCount 程序

引入依赖

创建Maven Project，引入依赖

<?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 https://maven.apache.org/xsd/maven-4.0.0.xsd">
  <modelVersion>4.0.0</modelVersion>
  <parent>
      <groupId>org.springframework.boot</groupId>
      <artifactId>spring-boot-starter-parent</artifactId>
      <version>2.7.5</version>
      <relativePath/> <!-- lookup parent from repository -->
  </parent>


  <groupId>com.bbx</groupId>
  <artifactId>flinkdemo2022</artifactId>
  <version>0.0.1-SNAPSHOT</version>
  <name>flinkdemo2022</name>
  <description>Demo project for Spring Boot</description>
  <properties>
      <java.version>11</java.version>
      <flink.version>1.15.2</flink.version>
      <scala.version></scala.version>
  </properties>
  <dependencies>
      <dependency>
          <groupId>org.springframework.boot</groupId>
          <artifactId>spring-boot-starter-web</artifactId>
      </dependency>

      <dependency>
          <groupId>org.projectlombok</groupId>
          <artifactId>lombok</artifactId>
          <optional>true</optional>
      </dependency>
      <dependency>
          <groupId>org.springframework.boot</groupId>
          <artifactId>spring-boot-starter-test</artifactId>
          <scope>test</scope>
      </dependency>
      <dependency>
          <groupId>org.apache.flink</groupId>
          <artifactId>flink-java</artifactId>
          <version>${flink.version}</version>
      </dependency>
      <dependency>
          <groupId>org.apache.flink</groupId>
          <artifactId>flink-streaming-java</artifactId>
          <version>${flink.version}</version>
      </dependency>
      <dependency>
          <groupId>org.apache.flink</groupId>
          <artifactId>flink-clients</artifactId>
          <version>${flink.version}</version>
      </dependency>
  </dependencies>

  <build>
      <plugins>
          <plugin>
              <groupId>org.apache.maven.plugins</groupId>
              <artifactId>maven-assembly-plugin</artifactId>
              <version>3.1.1</version>
              <configuration>
                  <descriptorRefs>
                      <descriptorRef>jar-with-dependencies</descriptorRef>
                  </descriptorRefs>
                  <archive>
                      <manifest>
                          <!--注意此处 是要运行的main 方法 -->
                          <mainClass>com.bbx.flinkdemo2022.wordconut.WcUnBoundStream</mainClass>
                      </manifest>
                  </archive>
              </configuration>
              <executions>
                  <execution>
                      <id>make-assembly</id>
                      <phase>package</phase>
                      <goals>
                          <goal>single</goal>
                      </goals>
                  </execution>
              </executions>
          </plugin>
      </plugins>
  </build>
</project>

创建flink 程序

Flink 程序整体分为五部分
1. 创建执行环境
2. 配置输入数据源
3. 数据加工处理
4. 数据输出
5. 启动执行

WordCount 程序示例

package com.bbx.flinkdemo2022.wordconut;
import lombok.extern.slf4j.Slf4j;
import org.apache.flink.api.common.typeinfo.Types;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.api.java.utils.ParameterTool;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.util.Collector;
import java.util.Arrays;

@Slf4j
public class WcUnBoundStream {
  public static void main(String[] args) throws Exception {
      //获取输入参数
      ParameterTool parameterTool = ParameterTool.fromArgs(args);
      String host = parameterTool.get("host");
      int port = parameterTool.getInt("port");

      //创建执行环境
      StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
      //获取输入源
      env.socketTextStream(host, port)
              //按照 空格进行分割
              .flatMap((String line, Collector<Tuple2<String, Long>> collector) -> {
                  Arrays.stream(line.split(" ")).forEach(j -> {
                      collector.collect(Tuple2.of(j, 1L));
                  });
              }).returns(Types.TUPLE(Types.STRING,Types.LONG))
              .keyBy(data -> data.f0)
              .sum(1)
              // 输出
              .print();
      // 启动执行
      env.execute("word count");
  }
}

打包程序--将程序进行打包

启动Socket Server

在Linux 环境中通过 nc 命令启动

nc -lk 3300      #本示例中执行该命令的主机IP为：192.168.10.131

提交job

Flink UI 端提交

访问Flink UI，点击“Submit New Job ”菜单中 “Add New” 按钮选择程序包（flinkdemo2022-0.0.1-SNAPSHOT-jar-with-dependencies.jar）
配置必要的信息后提交
查看运行中job
在 Socket Server 端输入信息
```
aaa bbb
aaa qwe
qwe aaa
```
点击 “Task Managers” 菜单选择 taskmanager 查看 Stdout中输出
取消任务

命令提交

提交命令

./bin/flink    run -c com.bbx.flinkdemo2022.wordconut.WcUnBoundStream  -p 2 flinkdemo2022-0.0.1-SNAPSHOT-jar-with-dependencies.jar --host 192.168.10.131 --port 3300

查看运行job
```
./bin/flink list
```

取消命令

bin/flink cancel  9f4a7fb98ddaae95d3333f4cce46d8a8    # 9f4a7fb98ddaae95d3333f4cce46d8a8 为JobID，可以通过命令

命令指南
```
./bin/flink  -h
```

来自为知笔记(Wiz)

标签：Flink,示例,flink,wordcount,import,apache,org
From： https://www.cnblogs.com/sxubo/p/16851518.html

第一章、Flink wordcount 入门示例

概述