大数据之Flink(2) | Flink快速上手(wordcount)

亦凉 2022-12-15 14:13 145阅读 0赞

### 快速上手 ###

*  一.搭建maven工程 Flink-Learning
 *   *  pom文件
     *  二.批处理wordcount
     *  三.流处理wordcount

# 一.搭建maven工程 Flink-Learning #

## pom文件 ##

<dependencies>
            <dependency>
                <groupId>org.apache.flink</groupId>
                <artifactId>flink-scala_2.11</artifactId>
                <version>1.10.0</version>
            </dependency>
            
            <dependency>
                <groupId>org.apache.flink</groupId>
                <artifactId>flink-streaming-scala_2.11</artifactId>
                <version>1.10.0</version>
            </dependency>
        </dependencies>
    
        <build>
            <plugins>
                
                <plugin>
                    <groupId>net.alchim31.maven</groupId>
                    <artifactId>scala-maven-plugin</artifactId>
                    <version>3.4.6</version>
                    <executions>
                        <execution>
                            
                            <goals>
                                <goal>compile</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>

## 二.批处理wordcount ##

import org.apache.flink.api.scala._
    
    
    object WordCount { 
      def main(args: Array[String]): Unit = { 
        //创建一个批处理的执行环境
        val env = ExecutionEnvironment.getExecutionEnvironment
        //从文件中读取数据
        val inputDataSet = env.readTextFile("D:\\idea\\Flink-Learning\\word.txt")
        //基于Dataset做转换，首先按照空格分词打散，然后按照word作为key做group by
        val resultDataSet = inputDataSet
          .flatMap(_.split(" ")) //分词得到所有word构成的数据集
          .map((_, 1)) //转成一个二元组（word，count）
          .groupBy(0) //以二元组中第一个元素作为key分组
          .sum(1) //聚合二元组中的第二个元素的值
    
        //打印
        resultDataSet.print()
      }
    }

结果  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQ2NTQ4ODU1_size_16_color_FFFFFF_t_70_pic_center]

## 三.流处理wordcount ##

import org.apache.flink.api.java.utils.ParameterTool
    import org.apache.flink.streaming.api.scala._
    
    
    object StreamWordCount { 
      def main(args: Array[String]): Unit = { 
        //创建流处理执行环境
        val env = StreamExecutionEnvironment.getExecutionEnvironment
    
        //从程序运行参数中读取hostname和port
        val params = ParameterTool.fromArgs(args)
        val hostname = params.get("host")
        val port = params.getInt("port")
    
        //接收socket文本流
        val inputDataStream = env.socketTextStream(hostname, port)
    
        //定义转换操作：wordcount
        val resultDataStream = inputDataStream
          .flatMap(_.split(" "))
          .filter(_.nonEmpty)
          .map((_, 1)) //转换成(word,count)二元组
          .keyBy(0) //按照第一个元素分组
          .sum(1) //按照第二个元素求和
    
    
        //输出
        resultDataStream.print().setParallelism(1)
        env.execute("stream word count job")
    
    
      }
    
    }

打开hadoop12虚拟机，输入你想要计算的内容

[root@hadoop12 ~]# nc -lk 9999

一般生产环境下，需要部署提交(打包)，不能写死！  
所以加了3行！

val params = ParameterTool.fromArgs(args)
     val hostname = params.get("host")
     val port = params.getInt("port")

然后运行时，在配置参数  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQ2NTQ4ODU1_size_16_color_FFFFFF_t_70_pic_center 1]

[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQ2NTQ4ODU1_size_16_color_FFFFFF_t_70_pic_center]: /images/20221123/2c0e22942f0b4efd9c029297c3aed212.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQ2NTQ4ODU1_size_16_color_FFFFFF_t_70_pic_center 1]: /images/20221123/2532ea183298434dba601b2a22b155a9.png

大数据之Flink(2) | Flink快速上手(wordcount)

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