Flink Demo测试------Kafka连接（Flink1.8；Hadoop3.0)

pom文件

 Flink Quickstart Job
    http://www.myorganization.org

    
        
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                                    com.zm.kafkaTs.KafkaOtherWriteTS
                                
                            
                        
                    
                
            

            
            
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代码

import java.util.Properties

import org.apache.flink.streaming.api.scala._
import org.apache.flink.streaming.api.{CheckpointingMode, TimeCharacteristic}
import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer010
import org.apache.flink.streaming.util.serialization.SimpleStringSchema

object KafkaOtherWriteTS {

  def main(args: Array[String]): Unit = {
//kafka测试通过
    val env = StreamExecutionEnvironment.getExecutionEnvironment

    env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime)
    env.enableCheckpointing(5000)
    env.getCheckpointConfig.setCheckpointingMode(CheckpointingMode.EXACTLY_ONCE)

    val kafkaProps: Properties = new Properties()
    kafkaProps.setProperty("bootstrap.servers","***:9092")
    kafkaProps.setProperty("group.id",args(0))
    kafkaProps.setProperty("auto.offset.reset","earliest")

    val consumer = new FlinkKafkaConsumer010[String]("****",new SimpleStringSchema,kafkaProps)

    val transaction: DataStream[String] = env.addSource(consumer)

    transaction.print()
    env.execute(this.getClass.getSimpleName)

  }

}