pom
<?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.stt.flink</groupId>
<artifactId>flink-demo</artifactId>
<version>1.0-SNAPSHOT</version>
<dependencies>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-scala_2.11</artifactId>
<version>1.7.2</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>1.7.2</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>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>
scala
package com.stt.flink
import org.apache.flink.streaming.api.scala.{DataStream, StreamExecutionEnvironment}
import org.apache.flink.api.scala._ // 隐式转换需要
// 流处理wordCount程序
object Ch_02_streamWordCount {
def main(args: Array[String]): Unit = {
// 创建流式处理的执行环境
val env: StreamExecutionEnvironment = StreamExecutionEnvironment.getExecutionEnvironment
// 接收一个socket文本流
val socketDataStream: DataStream[String] = env.socketTextStream("node01",8888)
// 对每条数据进行处理
val wordCountDataStream: DataStream[(String, Int)] = socketDataStream
.flatMap(_.split("\\s+"))
.filter(_.nonEmpty)
.map((_, 1))
.keyBy(0) // DataSet 有groupBy操作,在DataStream中有keyBy操作相似的效果
.sum(1)
wordCountDataStream.print()
// 启动executor
env.execute()
}
}
启动nc服务
[ttshe@node01~]$ nc -lk 8888
hello flink
flink
hello
SLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder".
SLF4J: Defaulting to no-operation (NOP) logger implementation
SLF4J: See http://www.slf4j.org/codes.html#StaticLoggerBinder for further details.
4> (hello,1)
10> (flink,1)
10> (flink,2)
4> (hello,2)
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