read json from kafka , parse json to case class , and then convert case class to tuple.

AlertActiveSessionTuple.scala

package com.test.flink

import java.util.Properties
import org.apache.flink.streaming.api.scala._
import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer09
import org.apache.flink.streaming.util.serialization.SimpleStringSchema
import org.apache.flink.streaming.api.windowing.time.Time
import org.json4s._
import org.json4s.jackson.JsonMethods._


object AlertActiveSessionTuple {
  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")
    properties.setProperty("client.id", "flink_client")
    properties.setProperty("auto.offset.reset", "latest");
    properties.setProperty("enable.auto.commit", "true");
    properties.setProperty("auto.commit.interval.ms", "10")

    val kafkaConsumer = new FlinkKafkaConsumer09[String]("test", new SimpleStringSchema(), properties)


    val stream = env.addSource(kafkaConsumer).map { x =>
      implicit val formats = DefaultFormats;
      ActiveSession.unapply(parse(x).extract[ActiveSession]).get // parse json to case class ,and then convert case class to tuple
    } .keyBy(0,1)
      .timeWindow(Time.seconds(10))
      .sum(2).print()


    env.execute("Flink Kafka Example")

  }

  case class ActiveSession(Oracle_sid: String, Hostname: String,Session_cnt: Int, Cpu_cores: Int,Check_tm: String)
}