Flink Java Demo

1.新建Maven项目

<?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>
    <parent>
        <groupId>cn.coreqi</groupId>
        <artifactId>Flink_HS</artifactId>
        <version>1.0-SNAPSHOT</version>
    </parent>

    <artifactId>FlinkTutorial</artifactId>

    <properties>
        <maven.compiler.source>8</maven.compiler.source>
        <maven.compiler.target>8</maven.compiler.target>
        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
    </properties>

    <build>
        <plugins>
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-shade-plugin</artifactId>
                <version>3.5.1</version>
                <executions>
                    <execution>
                        <phase>package</phase>
                        <goals>
                            <goal>shade</goal>
                        </goals>
                        <configuration>
                            <artifactSet>
                                <excludes>
                                    <exclude>com.google.code.findbugs:jsr305</exclude>
                                    <exclude>org.slf4j:*</exclude>
                                    <exclude>log4j:*</exclude>
                                </excludes>
                            </artifactSet>
                            <filters>
                                <filter>
                                    <artifact>*:*</artifact>
                                    <excludes>
                                        <exclude>META-INF/*.SF</exclude>
                                        <exclude>META-INF/*.DSA</exclude>
                                        <exclude>META-INF/*.RSA</exclude>
                                    </excludes>
                                </filter>
                            </filters>
                            <transformers combine.children="append">
                                <transformer implementation="org.apache.maven.plugins.shade.resource.ServicesResourceTransformer">
                                </transformer>
                            </transformers>
                        </configuration>
                    </execution>
                </executions>
            </plugin>
        </plugins>
    </build>

    <dependencies>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-streaming-java</artifactId>
            <version>1.18.0</version>
            <scope>provided</scope>
        </dependency>

        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-clients</artifactId>
            <version>1.18.0</version>
            <scope>provided</scope>
        </dependency>
    </dependencies>
</project>

2.编写代码

package cn.coreqi;

import org.apache.flink.api.common.typeinfo.Types;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.streaming.api.datastream.DataStreamSource;
import org.apache.flink.streaming.api.datastream.KeyedStream;
import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.util.Collector;

public class WordCountStreamUnboundedDemo {
    public static void main(String[] args) throws Exception {
        // 创建执行环境
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        // 读取socket数据
        DataStreamSource<String> socketDS = env.socketTextStream("192.168.58.130", 7878);

        // 处理数据
        SingleOutputStreamOperator<Tuple2<String, Integer>> wordToOne = socketDS.flatMap((String s, Collector<Tuple2<String, Integer>> collector) -> {
            // 按照空格切分单词
            String[] words = s.split(" ");
            for (String word : words) {
                Tuple2<String, Integer> wordTuple2 = Tuple2.of(word, 1);
                // 使用 Collector 向下游发送数据
                collector.collect(wordTuple2);
            }
        }).returns(Types.TUPLE(Types.STRING,Types.INT));

        KeyedStream<Tuple2<String, Integer>, String> wordToOneKS = wordToOne.keyBy((Tuple2<String, Integer> stringIntegerTuple2) -> stringIntegerTuple2.f0);

        SingleOutputStreamOperator<Tuple2<String, Integer>> sumDS = wordToOneKS.sum(1);

        //输出数据
        sumDS.print();
        // 执行
        env.execute();
    }
}