flink 从kafka读取数据写入mysql数据库

搭建flink,版本flink-1.9.2
搭建kafka,版本kafka_2.11-2.0.0
pom文件根据自己的版本自定义

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>com.htdata</groupId>
    <artifactId>kafka-mysql</artifactId>
    <version>1.0-SNAPSHOT</version>
    <packaging>jar</packaging>

    <name>kafka-mysql</name>
    <url>http://maven.apache.org</url>

    <properties>
        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
        <flink.version>1.9.2</flink.version>
    </properties>

    <dependencies>
        <!--mysql-->
        <dependency>
            <groupId>mysql</groupId>
            <artifactId>mysql-connector-java</artifactId>
            <version>5.1.47</version>
        </dependency>


        <!--flink-->
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-java</artifactId>
            <version>${
    
    flink.version}</version>
        </dependency>

        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-streaming-java_2.11</artifactId>
            <version>${
    
    flink.version}</version>
        </dependency>

        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-clients_2.11</artifactId>
            <version>${
    
    flink.version}</version>
        </dependency>

        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-connector-kafka_2.12</artifactId>
            <version>1.10.0</version>
        </dependency>


    </dependencies>

    <build>
        <plugins>
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-shade-plugin</artifactId>
                <version>3.0.0</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>
                                    <!-- Do not copy the signatures in the META-INF folder.
                                    Otherwise, this might cause SecurityExceptions when using the JAR. -->
                                    <artifact>*:*</artifact>
                                    <excludes>
                                        <exclude>META-INF/*.SF</exclude>
                                        <exclude>META-INF/*.DSA</exclude>
                                        <exclude>META-INF/*.RSA</exclude>
                                    </excludes>
                                </filter>
                            </filters>
                            <transformers>
                                <transformer implementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer">
                                    <mainClass>com.htdata.flink.ReadFromKafka</mainClass>
                                </transformer>
                            </transformers>
                        </configuration>
                    </execution>
                </executions>
            </plugin>
        </plugins>
    </build>
</project>

写入kafka

package com.htdata.flink;

import org.apache.flink.api.common.serialization.SimpleStringSchema;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.source.SourceFunction;
import org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer;


import java.util.Properties;

public class WriteToKafka {
    
    

    public static void main(String[] args) throws Exception {
    
    

        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();

        Properties properties = new Properties();
        properties.setProperty("bootstrap.servers", "你的ip:9092");

        DataStream<String> stream = env.addSource(new SimpleStringGenerator());
        stream.addSink(new FlinkKafkaProducer<String>("flink", new SimpleStringSchema(), properties));  //配置topic
        env.execute();
    }

    public static class SimpleStringGenerator implements SourceFunction<String> {
    
    

        long i = 0;
        boolean swith = true;

        @Override
        public void run(SourceContext<String> ctx) throws Exception {
    
    
            for(int k=0;k<5;k++) {
    
    
                ctx.collect("flink:" + k++);
            }
        }

        @Override
        public void cancel() {
    
    
            swith = false;
        }

    }



}

从kafka读取数据写入mysql
自定义sink

package com.htdata.flink;

import org.apache.flink.api.java.tuple.Tuple3;
import org.apache.flink.streaming.api.functions.sink.RichSinkFunction;

import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.PreparedStatement;

public class MysqlSink extends
        RichSinkFunction<Tuple3<Integer, String, Integer>> {
    
    
    private Connection connection;
    private PreparedStatement preparedStatement;
    String username = "root";
    String password = "123456";
    String drivername = "com.mysql.jdbc.Driver";
    String dburl = "jdbc:mysql://你的mysqlip:3306/flink";

    @Override
    public void invoke(Tuple3<Integer, String, Integer> value) throws Exception {
    
    
        Class.forName(drivername);
        connection = DriverManager.getConnection(dburl, username, password);
        String sql = "replace into person(card,name,phone) values(?,?,?)"; //mysql存在表person 有3个字段 card,name,phone
        preparedStatement = connection.prepareStatement(sql);
        preparedStatement.setInt(1, value.f0);
        preparedStatement.setString(2, value.f1);
        preparedStatement.setInt(3, value.f2);
        preparedStatement.executeUpdate();
        if (preparedStatement != null) {
    
    
            preparedStatement.close();
        }
        if (connection != null) {
    
    
            connection.close();
        }
    }
}

package com.htdata.flink;

import org.apache.commons.lang3.StringUtils;
import org.apache.flink.api.common.functions.FilterFunction;
import org.apache.flink.api.common.functions.MapFunction;
import org.apache.flink.api.common.serialization.SimpleStringSchema;
import org.apache.flink.api.java.tuple.Tuple3;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer;


import java.util.Properties;

public class ReadFromKafka {
    
    
    public static void main(String[] args) throws Exception {
    
    
        // 构建环境
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        Properties properties = new Properties();
        //这里是由一个kafka
        properties.setProperty("bootstrap.servers", "你的ip:9092");
        properties.setProperty("group.id", "flink_consumer");
        //第一个参数是topic的名称
        DataStream<String> stream=env.addSource(new FlinkKafkaConsumer<String>("flink", new SimpleStringSchema(), properties));

        DataStream<Tuple3<Integer, String, Integer>> sourceStreamTra = stream.filter(new FilterFunction<String>() {
    
    
            @Override
            public boolean filter(String value) throws Exception {
    
    
                return StringUtils.isNotBlank(value);
            }
        }).map(new MapFunction<String, Tuple3<Integer, String, Integer>>() {
    
    
            private static final long serialVersionUID = 1L;
            @Override
            public Tuple3<Integer, String, Integer> map(String value)
                    throws Exception {
    
    
                String[] args = value.split(",");
                return new Tuple3<Integer, String, Integer>(Integer
                        .valueOf(args[0]), args[1],Integer
                        .valueOf(args[2]));
            }
        });

        sourceStreamTra.addSink(new MysqlSink());
        env.execute("data to mysql start");


    }
}