Flink开发环境搭建及WordCount_flink edit streamwordcount configuration 怎么配置

<?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">
    <parent>
        <artifactId>bigdata16</artifactId>
        <groupId>com.shujia</groupId>
        <version>1.0-SNAPSHOT</version>
    </parent>
    <modelVersion>4.0.0</modelVersion>
 
    <artifactId>Flink</artifactId>
    <version>1.0</version>
 
    <properties>
        <maven.compiler.source>8</maven.compiler.source>
        <maven.compiler.target>8</maven.compiler.target>
        <flink.version>1.11.2</flink.version>
        <scala.binary.version>2.11</scala.binary.version>
        <scala.version>2.11.12</scala.version>
        <log4j.version>2.12.1</log4j.version>
    </properties>
 
    <dependencies>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-walkthrough-common_${scala.binary.version}</artifactId>
            <version>${flink.version}</version>
        </dependency>
 
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-streaming-scala_${scala.binary.version}</artifactId>
            <version>${flink.version}</version>
        </dependency>
 
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-clients_${scala.binary.version}</artifactId>
            <version>${flink.version}</version>
        </dependency>
 
        <dependency>
            <groupId>org.apache.logging.log4j</groupId>
            <artifactId>log4j-slf4j-impl</artifactId>
            <version>${log4j.version}</version>
        </dependency>
 
        <dependency>
            <groupId>org.apache.logging.log4j</groupId>
            <artifactId>log4j-api</artifactId>
            <version>${log4j.version}</version>
        </dependency>
 
        <dependency>
            <groupId>org.apache.logging.log4j</groupId>
            <artifactId>log4j-core</artifactId>
            <version>${log4j.version}</version>
        </dependency>
    </dependencies>
 
    <build>
        <plugins>
            <!-- Java Compiler -->
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-compiler-plugin</artifactId>
                <version>3.1</version>
                <configuration>
                    <source>1.8</source>
                    <target>1.8</target>
                </configuration>
            </plugin>
 
            <!-- Scala Compiler -->
            <plugin>
                <groupId>org.scala-tools</groupId>
                <artifactId>maven-scala-plugin</artifactId>
                <version>2.15.2</version>
                <executions>
                    <execution>
                        <goals>
                            <goal>compile</goal>
                            <goal>testCompile</goal>
                        </goals>
                    </execution>
                </executions>
            </plugin>
        </plugins>
    </build>
 
</project>

package com.shujia.core
 
import org.apache.flink.streaming.api.scala._
 
object Demo01WordCount {
  def main(args: Array[String]): Unit = {
    /**
     * 创建Flink入口
     */
    val env: StreamExecutionEnvironment= StreamExecutionEnvironment.getExecutionEnvironment
 
    //默认并行度等于CPU的逻辑核数 相当于是任务的一个并行度
    env.setParallelism(2)
 
    /**
     * 通过Socket模拟实时数据
     * nc -lk 8888
     *
     * DataStream:Flink中的编程模型
     */
    val linesDS: DataStream[String] = env.socketTextStream("master", 8888)
 
    //对每一条数据进行切分
    val wordsDS: DataStream[String] = linesDS
      .flatMap(line => line.split(","))
 
    //将每个单词变成 K V 格式
    val wordsKVDS: DataStream[(String, Int)] = wordsDS.map(word => (word, 1))
 
    //按照每个单词进行分组
    val keyByDS: KeyedStream[(String, Int), String] = wordsKVDS.keyBy(kv => kv._1)
 
    //统计每个单词的数量
    val wordCntDS: DataStream[(String, Int)] = keyByDS.sum(1)
 
    //将结果打印
    wordCntDS.print()
 
    //启动任务
    env.execute("Demo01WordCount")
  }
}