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名师互学网 > IT > 前沿技术 > 大数据 > 大数据系统

flink面试题(flink两阶段提交)

flink面试题(flink两阶段提交)

import org.apache.flink.streaming.api.scala.DataStream
import org.apache.flink.streaming.api.scala.StreamExecutionEnvironment
import org.apache.flink.api.scala._
import nn.MyKafkaUtil

object StartupApp {
  def main(args: Array[String]): Unit = {
    val environment: StreamExecutionEnvironment = StreamExecutionEnvironment.getExecutionEnvironment

    val kafkaConsumer  =MyKafkaUtil.getConsumer("gl")

    val dstream: DataStream[String] = environment.addSource(kafkaConsumer)
    dstream.print()
    environment.execute()
  }
}
############################
package nn

import java.util.Properties

import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer
import org.apache.flink.api.common.serialization.SimpleStringSchema
import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer


object MyKafkaUtil {


//  val prop = new Properties()
  private val prop = new Properties()
  prop.setProperty("bootstrap.servers","localhost:9092")
//  prop.setProperty("group.id","gmall")

  def getConsumer(topic:String ):FlinkKafkaConsumer[String]= {
    val myKafkaConsumer:FlinkKafkaConsumer[String] = new FlinkKafkaConsumer[String](topic, new SimpleStringSchema(), prop)
    myKafkaConsumer
  }
}

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