FLink自定义Kafka Source，处理后转发给下一个kafka topic

一、依赖配置

pom文件：https://www.cnblogs.com/robots2/p/16048648.html

kafka单机版安装：https://www.cnblogs.com/robots2/p/15797379.html

其它信息看我的博客

二、Flink代码

package net.xdclass.class6.app;

import java.util.Properties;

import org.apache.flink.api.common.RuntimeExecutionMode;
import org.apache.flink.api.common.functions.MapFunction;
import org.apache.flink.api.common.serialization.SimpleStringSchema;
import org.apache.flink.api.java.functions.KeySelector;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.configuration.Configuration;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.datastream.KeyedStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer;
import org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer;
import org.apache.flink.streaming.connectors.redis.RedisSink;
import org.apache.flink.streaming.connectors.redis.common.config.FlinkJedisPoolConfig;

import net.xdclass.class6.sink.MyRedisSink;
import net.xdclass.class6.source.VideoOrderSource;
import net.xdclass.model.VideoOrder;

/**
 * @desc 自定义kafka source，输出到kafka
 *  本地测试页面：http://127.0.0.1:8081/#/overview
 *  生产  ./kafka-console-producer.sh --broker-list ip地址:9092 --topic test
 *  FLink程序加工转换，输出到另一个kafka
 *  消费  ./kafka-console-consumer.sh --bootstrap-server ip地址:9092 --topic test-output
 * @menu
 */
public class FLink08KafkaCustomSourceApp {

    public static void main(String[] args) throws Exception {
        //WebUi方式运行
        final StreamExecutionEnvironment env =
                StreamExecutionEnvironment.createLocalEnvironmentWithWebUI(new Configuration());

//        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        //设置运行模式为流批一体
        env.setRuntimeMode(RuntimeExecutionMode.AUTOMATIC);
        Properties props = new Properties();
        //kafka地址
        props.setProperty("bootstrap.servers", "ip地址:9092");
        //消费者组名
        props.setProperty("group.id", "FLink-test-group");

        //字符串序列化和反序列化规则
        props.setProperty("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
        props.setProperty("value.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");

        //offset重置规则
        props.setProperty("auto.offset.reset", "latest");

        //自动提交，回馈kafka响应。2秒提交一次，减少block与flink程序交互，提升性能
        props.setProperty("enable.auto.commit", "true");
        props.setProperty("auto.commit.interval.ms", "2000");

        //有后台线程每隔10s检测一下Kafka的分区变化情况
        props.setProperty("flink.partition-discovery.interval-millis","10000");

        //kafka名字，序列化方式，配置文件
        FlinkKafkaConsumer<String> consumer = new FlinkKafkaConsumer<String>("test", new SimpleStringSchema(),
                                                                             props);

        //设置从记录的消费者组内的offset开始消费，如果没有记录，则从auto.offset.reset 配置处开始消费
        consumer.setStartFromGroupOffsets();

        //设置自定义source
        DataStream<String> kafkaDS = env.addSource(consumer);
        kafkaDS.print("kafka:");

        DataStream<String> mapDS = kafkaDS.map(new MapFunction<String, String>() {
            @Override
            public String map(String value) throws Exception {
                return "自定义拼接前缀："+value;
            }
        });
        FlinkKafkaProducer<String> producer = new FlinkKafkaProducer<String>("test-output",
                                                                             new SimpleStringSchema(), props);
        mapDS.addSink(producer);

        //设置名字
        env.execute("CustomKafkaSourceApp");
    }
}