【Flink】【笔记】Flink入门之离线+实时wordcount笔记

moocer · 发表于 2020-6-23 23:12

本帖最后由 moocer 于 2020-6-23 23:34 编辑

1 搭建maven工程 flink-2019
1.1、pom文件

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<?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>org.example</groupId>
    <artifactId>Flink</artifactId>
    <version>1.0-SNAPSHOT</version>
    <dependencies>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-scala_2.11</artifactId>
            <version>1.7.0</version>
        </dependency>

        <!-- https://mvnrepository.com/artifact/org.apache.flink/flink-streaming-scala -->
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-streaming-scala_2.11</artifactId>
            <version>1.7.0</version>
        </dependency>
    </dependencies>

    <build>
        <plugins>
            <!-- 该插件用于将Scala代码编译成class文件 -->
            <plugin>
                <groupId>net.alchim31.maven</groupId>
                <artifactId>scala-maven-plugin</artifactId>
                <version>3.4.6</version>
                <executions>
                    <execution>
                        <!-- 声明绑定到maven的compile阶段 -->
                        <goals>
                            <goal>compile</goal>
                            <goal>testCompile</goal>
                        </goals>
                    </execution>
                </executions>
            </plugin>

            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-assembly-plugin</artifactId>
                <version>3.0.0</version>
                <configuration>
                    <descriptorRefs>
                        <descriptorRef>jar-with-dependencies</descriptorRef>
                    </descriptorRefs>
                </configuration>
                <executions>
                    <execution>
                        <id>make-assembly</id>
                        <phase>package</phase>
                        <goals>
                            <goal>single</goal>
                        </goals>
                    </execution>
                </executions>
            </plugin>
        </plugins>
    </build>


</project>

1.2 添加scala框架和 scala文件夹

2 批处理wordcount

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def main(args: Array[String]): Unit = {
  //env构造执行环境
  val env: ExecutionEnvironment = ExecutionEnvironment.getExecutionEnvironment
  //source读取文件
  val inputPath = "F:\\myProject\\sparkcode\\input\\word.txt"
  val ds: DataSet[String] = env.readTextFile(inputPath)
  //transform其中flatMap 和Map 中  需要引入隐式转换
  import org.apache.flink.api.scala.createTypeInformation
  //经过groupby进行分组，sum进行聚合
  val aggDs = ds.flatMap(_.split(" ")).map((_, 1)).groupBy(0).sum(1)
  //sink打印
  aggDs.print()
}

3 流处理 wordcount

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  def main(args: Array[String]): Unit = {
    //创建流处理环境
    val env: StreamExecutionEnvironment = StreamExecutionEnvironment.getExecutionEnvironment

    //接收socket文本流
    val textDstream: DataStream[String] = env.socketTextStream("hadoop202",9999)

    // flatMap和Map需要引用的隐式转换
    import org.apache.flink.api.scala._

    //处理 分组并且sum聚合
    val dStream: DataStream[(String, Int)] = textDstream.flatMap(_.split(" ")).filter(_.nonEmpty).map((_,1)).keyBy(0).sum(1)

    //打印
    dStream.print()
    env.execute()

在我对应的虚拟机Hadoop202中启动netcat工具向9999端口发送消息

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