大数据-玩转数据-Sink到Kafka

一、添加Kafka Connector依赖

pom.xml 中添加

<dependency>
    <groupId>org.apache.flink</groupId>
    <artifactId>flink-connector-kafka_${scala.binary.version}</artifactId>
    <version>${kafka.version}</version>
    </dependency>
<dependency>
    <groupId>com.alibaba</groupId>
    <artifactId>fastjson</artifactId>
    <version>1.2.75</version>
</dependency>

二、启动Kafka集群

启动zookeeper

./bin/zookeeper-server-start.sh config/zookeeper.properties

启动 kafka

./bin/kafka-server-start.sh config/server.properties

启动一个消费者

./bin/kafka-console-consumer.sh --bootstrap-server hadoop100:9092 --topic topic_sensor

三、Flink sink 到 kafka

package com.lyh.flink06;
import org.apache.flink.api.common.serialization.SimpleStringSchema;
import org.apache.flink.streaming.api.datastream.ConnectedStreams;
import org.apache.flink.streaming.api.datastream.DataStreamSource;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.sink.SinkFunction;
import org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer;

public class SinkToKafka {
    public static void main(String[] args) throws Exception {
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        env.setParallelism(2);
        DataStreamSource<String> dataStreamSource = env.fromElements("a-----------------------------", "b*****************************");
        DataStreamSource<Integer> integerDataStreamSource = env.fromElements(1, 2);
        ConnectedStreams<String, Integer> datain = dataStreamSource.connect(integerDataStreamSource);
        datain.getFirstInput().addSink(new FlinkKafkaProducer<String>("hadoop100:9092","topic_sensor",new SimpleStringSchema()));
        env.execute();
    }
}

运行程序后看到消费者消费成功