本地jvm执行flink程序带web ui的操作

本地jvm执行flink带web ui

使用

StreamExecutionEnvironment executionEnvironment = StreamExecutionEnvironment.getExecutionEnvironment();

可以获取flink执行环境。但是本地jvm执行的时候是不带web ui的。有时候出于监控的考虑，需要带着监控页面查看。任务运行状况，可以使用下面方式获取flink本地执行环境，并带有web ui。

Configuration config = new Configuration();
config.setInteger(RestOptions.PORT,9998);
StreamExecutionEnvironment env = StreamExecutionEnvironment.createLocalEnvironmentWithWebUI(config);

Flink 本地执行入门

一、maven依赖

<properties>
   <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
   <flink.version>1.6.3</flink.version>
   <java.version>1.8</java.version>
   <scala.version>2.11.8</scala.version>
   <hbase.version>1.2.4</hbase.version>
   <scala.binary.version>2.11</scala.binary.version>
   <maven.compiler.source>${java.version}</maven.compiler.source>
   <maven.compiler.target>${java.version}</maven.compiler.target>
</properties>
<dependency>
   <groupId>org.apache.flink</groupId>
   <artifactId>flink-clients_${scala.binary.version}</artifactId>
   <version>${flink.version}</version>
</dependency>

二、本地执行

import org.apache.flink.api.common.functions.FilterFunction;
import org.apache.flink.api.java.DataSet;
import org.apache.flink.api.common.JobExecutionResult;
import org.apache.flink.api.java.ExecutionEnvironment;
public class FlinkReadTextFile {
   public static void main(String[] args) throws Exception {
       ExecutionEnvironment env = ExecutionEnvironment.createLocalEnvironment();
       DataSet<String> data = env.readTextFile("file:///Users/***/Documents/test.txt");
       data.filter(new FilterFunction<String>() {
           @Override
           public boolean filter(String value) throws Exception {
               return value.startsWith("五芳斋美");
           }
       })
               .writeAsText("file:///Users/***/Documents/test01.txt");
       JobExecutionResult res = env.execute();
   }
}

三、实例

import org.apache.flink.streaming.api.windowing.time.Time
import org.apache.flink.streaming.api.scala._

object SocketWindowWordCount {
 /** Main program method */
 def main(args: Array[String]): Unit ={ // the port to connect to
//  val port: Int = try {
//    ParameterTool.fromArgs(args).getInt("port")
//  } catch {
//    case e: Exception => {
//      System.err.println("No port specified. Please run 'SocketWindowWordCount --port <port>'")
//      return
//    }
//  }
 // get the execution environment
 val env: StreamExecutionEnvironment = StreamExecutionEnvironment.getExecutionEnvironment
 // get input data by connecting to the socket
 val text = env.socketTextStream("localhost", 9000, '\n')
 // parse the data, group it, window it, and aggregate the counts
 val windowCounts = text
   .flatMap { w => w.split("\\s") }
   .map { w => WordWithCount(w, 1) }
   .keyBy("word")
   .timeWindow(Time.seconds(5), Time.seconds(1))
   .sum("count")
 // print the results with a single thread, rather than in parallel
 windowCounts.print().setParallelism(1)
 env.execute("Socket Window WordCount")
}
// Data type for words with count
case class WordWithCount(word: String, count: Long)
}

来源：https://blog.csdn.net/Vector97/article/details/118182173