Flink 发送数据到 Kafka sink

前期准备好kafka环境，我这里是1.12.0版本的Flink，Kafka对应版本官方推荐2.4.1，Scala版本2.12，demo里用的是socket文本流做数据源

在kafka目录下启动zookeeper（我这里用的是kafka自带的）

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

启动kafka

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

开启socket文本流

1	nc -lk 9999

消费kafka指定topic消息，确认数据是否正常

1	./bin/kafka-console-consumer.sh --bootstrap-server IP:9092 --topic test

别忘了添加Kafka连接器依赖

<!-- https://mvnrepository.com/artifact/org.apache.flink/flink-connector-kafka -->
<dependency>
    <groupId>org.apache.flink</groupId>
    <artifactId>flink-connector-kafka_2.12</artifactId>
    <version>1.12.0</version>
</dependency>

上代码

import org.apache.flink.api.common.serialization.SimpleStringSchema
import org.apache.flink.streaming.api.scala.{DataStream, StreamExecutionEnvironment}
import org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer

object KafkaSink {

  def main(args: Array[String]): Unit = {

    // 创建流处理环境
    val env = StreamExecutionEnvironment.getExecutionEnvironment

    // 接收socket 文本流
    val textDstream: DataStream[String] = env.socketTextStream("开启socket服务器的IP", 9999)

    textDstream.addSink(new FlinkKafkaProducer[String]("KafkaIP:9092", "test", new SimpleStringSchema()))

    // 启动executor，执行任务
    env.execute("Kafka sink")
  }

}