Flink流计算WordCount代码示例

墨蓝 2022-09-11 06:13 507阅读 0赞

# 代码 #

package com.zxl.flink
    
    import org.apache.flink.streaming.api.scala.StreamExecutionEnvironment
    
    /** * flink的流计算的WordCount */
    object FlinkStreamWordCount { 
    
      def main(args: Array[String]): Unit = { 
        //1、初始化Flink流计算的环境
        val streamEnv: StreamExecutionEnvironment = StreamExecutionEnvironment.getExecutionEnvironment
        //修改并行度
        streamEnv.setParallelism(1) //默认所有算子的并行度为1
        //2、导入隐式转换
        import org.apache.flink.streaming.api.scala._
        //3、读取数据,读取sock流中的数据
        //val stream: DataStream[String] = streamEnv.socketTextStream("hadoop101",8888) //DataStream ==> spark 中Dstream
        //nc -lk 8888
        val stream: DataStream[String] = streamEnv.socketTextStream("localhost",8888) //DataStream ==> spark 中Dstream
    
        //4、转换和处理数据
        val result: DataStream[(String, Int)] = stream.flatMap(_.split(" "))
          .map((_, 1)).setParallelism(2)
          .keyBy(0)//分组算子 : 0 或者 1 代表下标。前面的DataStream[二元组] , 0代表单词 ，1代表单词出现的次数
          .sum(1).setParallelism(2) //聚会累加算子
    
        //5、打印结果
        result.print("结果").setParallelism(1)
        //6、启动流计算程序
        streamEnv.execute("wordcount")
      }
    }

# 调试 #

## 发数据 ##

![在这里插入图片描述][watermark_type_ZHJvaWRzYW5zZmFsbGJhY2s_shadow_50_text_Q1NETiBA5a2m5Lqu57yW56iL5omL6K6w_size_20_color_FFFFFF_t_70_g_se_x_16]

## console日志输出 ##

结果> (scala,1)
    结果> (hello,1)
    结果> (zxl,1)
    结果> (hello,2)
    结果> (hello,3)
    结果> (flink,1)
    结果> (hello,4)
    结果> (spark,1)
    结果> (filne,1)
    结果> (flink,2)

# 附pom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.zxl</groupId>
        <artifactId>Flink-SXT</artifactId>
        <version>1.0-SNAPSHOT</version>
    
    <dependencies>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-scala_2.11</artifactId>
            <version>1.9.1</version>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-streaming-scala_2.11</artifactId>
            <version>1.9.1</version>
        </dependency>
        <dependency>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-common</artifactId>
            <version>2.7.2</version>
        </dependency>
        <dependency>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-client</artifactId>
            <version>2.7.2</version>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-connector-kafka_2.11</artifactId>
            <version>1.9.1</version>
        </dependency>
        <dependency>
            <groupId>org.apache.kafka</groupId>
            <artifactId>kafka-clients</artifactId>
            <version>0.11.0.3</version>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-connector-filesystem_2.11</artifactId>
            <version>1.9.1</version>
        </dependency>
        <dependency>
            <groupId>org.apache.bahir</groupId>
            <artifactId>flink-connector-redis_2.11</artifactId>
            <version>1.0</version>
        </dependency>
        <dependency>
            <groupId>mysql</groupId>
            <artifactId>mysql-connector-java</artifactId>
            <version>5.1.44</version>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-table-planner_2.11</artifactId>
            <version>1.9.1</version>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-table-api-scala-bridge_2.11</artifactId>
            <version>1.9.1</version>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-cep-scala_2.11</artifactId>
            <version>1.9.1</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>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>

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