谁能分享一个Scala中Flink Kafka(主要接收来自Kafka的消息)的工作示例?我知道在Spark中有一个KafkaWordCount的例子。我只需要在Flink中打印出Kafka的信息。这真的很有帮助。
下面的代码展示了如何使用Flink的Scala DataStream API从Kafka主题中读取数据:
import org.apache.flink.streaming.api.scala._
import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer082
import org.apache.flink.streaming.util.serialization.SimpleStringSchema
object Main {
def main(args: Array[String]) {
val env = StreamExecutionEnvironment.getExecutionEnvironment
val properties = new Properties()
properties.setProperty("bootstrap.servers", "localhost:9092")
properties.setProperty("zookeeper.connect", "localhost:2181")
properties.setProperty("group.id", "test")
val stream = env
.addSource(new FlinkKafkaConsumer082[String]("topic", new SimpleStringSchema(), properties))
.print
env.execute("Flink Kafka Example")
}
}
与Robert添加的内容相反,下面是一段用于向Kafka主题发送消息的应用程序代码。
import org.apache.kafka.clients.producer.{KafkaProducer, ProducerRecord}
object KafkaProducer {
def main(args: Array[String]): Unit = {
KafkaProducer.sendMessageToKafkaTopic("localhost:9092", "topic_name")
}
def sendMessageToKafkaTopic(server: String, topic:String): Unit = {
val props = new Properties()
props.put("bootstrap.servers", servers)
props.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer")
props.put("value.serializer", "org.apache.kafka.common.serialization.StringSerializer")
val producer = new KafkaProducer[String,String](props)
val record = new ProducerRecord[String,String](topic, "HELLO WORLD!")
producer.send(record)
producer.close()
}
}