2.1 搭建 maven 工程 FlinkTutorial
2.1.1 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>flink_example</groupId>
<artifactId>flink</artifactId>
<version>1.0-SNAPSHOT</version>
<dependencies>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-scala_2.11</artifactId>
<version>1.7.2</version>
</dependency>
<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>
2.2 批处理 wordcount
WordCount.scala
package org.gz
import org.apache.flink.api.scala._
import org.apache.flink.api.scala.{AggregateDataSet, DataSet, ExecutionEnvironment}
object WordCount {
def main(args: Array[String]): Unit = {
val env = ExecutionEnvironment.getExecutionEnvironment
val inputPath="/Users/gaozhen/IdeaProjects/flink/src/main/resources/a.txt"
val inputDS: DataSet[String] = env.readTextFile(inputPath)
val wordCountDS: AggregateDataSet[(String, Int)] = inputDS.flatMap(_.split(" ")).map((_,1)).groupBy(0).sum(1)
wordCountDS.print()
}
}
2.3 流处理 wordcount
StreamWordCount.scala
package org.gz.org.gz
import org.apache.flink.api.java.utils.ParameterTool
import org.apache.flink.streaming.api.scala.{DataStream, StreamExecutionEnvironment}
import org.apache.flink.streaming.api.scala._
object StreamWordCount {
def main(args: Array[String]): Unit = {
val params: ParameterTool = ParameterTool.fromArgs(args)
val host:String = params.get("host")
val port:Int = params.getInt("port")
val env = StreamExecutionEnvironment.getExecutionEnvironment
val textDStream:DataStream[String]= env.socketTextStream(host,port)
val dataStream : DataStream[(String, Int)] =
textDStream.flatMap(_.split("\\s")).map((_,1)).keyBy(0).sum(1)
dataStream.print().setParallelism(1)
env.execute("Socket stream word count")
}
}
测试:开启服务端,在启动程序
nc -lk 7777
输入单词