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

import java.util.Properties

/**
 * DATE:2022/10/3 21:49
 * AUTHOR：GX
 */
object SourceKafkaTest {
  def main(args: Array[String]): Unit = {
    val env = StreamExecutionEnvironment.getExecutionEnvironment
    env.setParallelism(1)

    //Kafka连接的相关配置
    val properties = new Properties()
    properties.setProperty("bootstrap.servers","master:9092")
    properties.setProperty("group.id","consumer-group")

    val stream = env.addSource(new FlinkKafkaConsumer[String]("clicks",
      new SimpleStringSchema(), properties))

    stream.print()

    env.execute()

  }
}

创建kafka生产者
bin/kafka-console-producer.sh --bootstrap-server master:9092 --topic clicks