编写一篇可行的flink+es+kafka代码实现示例

下面是一个示例的Flink ES Kafka代码实现：import org.apache.flink.streaming.api.scala._
import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerobject FlinkESKafkaExample {
def main(args: Array[String]): Unit = {
// 创建Flink程序的执行环境
val env = StreamExecutionEnvironment.getExecutionEnvironment // 设置Kafka消费者
val kafkaProps = new Properties()
kafkaProps.setProperty("bootstrap.servers", "localhost:9092")
kafkaProps.setProperty("group.id", "flink-consumer-group")
val kafkaConsumer = new FlinkKafkaConsumer[String]("topic-name", new SimpleStringSchema(), kafkaProps) // 创建Kafka消费者
val stream = env.addSource(kafkaConsumer) // 将数据转换为字符串形式
val stringStream = stream.map{ msg =>
val data = msg.split(",")
data(0) + "," + data(1)
} // 将数据存入ElasticSearch
stringStream.addSink(new ElasticsearchSink.Builder[String](
httpHosts,
new ElasticsearchSinkFunction[String] {
def createIndexRequest(element: String): IndexRequest = {
val json = new java.util.HashMap[String, Any]
val data = element.split(",")
json.put("data", data(0))
json.put("timestamp", data(1))
Requests.indexRequest
.index("index-name")
.`type`("type-name")
.source(json)
} override def process(element: String, ctx: RuntimeContext, indexer: RequestIndexer): Unit = {
indexer.add(createIndexRequest(element))
}
}
)) env.execute("FlinkESKafkaExample")
}
}