代码:
import java.util.Properties

import org.apache.flink.api.common.serialization.SimpleStringSchema
import org.apache.flink.streaming.api.scala.StreamExecutionEnvironment
import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer011

//温度传感器读取样例类
case class SensorReading(id: String, timestamp: Long, temperature: Double)

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

    //1.从自定义的集合中读取数据
    import org.apache.flink.api.scala._
//    val stream1 = env.fromCollection(List(SensorReading("sensor_1", 1547718199, 35.80018327300259),
//                                          SensorReading("sensor_6", 1547718201, 15.402984393403084),
//                                          SensorReading("sensor_7", 1547718202, 6.720945201171228),
//                                          SensorReading("sensor_10", 1547718205, 38.101067604893444)
//                                     ))
//    stream1.print("stream1").setParallelism(1)
//    env.execute("source test")
//
//    //2.从文件读取数据
//    val stream2 = env.readTextFile("sensor.txt")
//    stream2.print("stream2").setParallelism(1)
//    env.execute("source test")

    //3.以 kafka 消息队列的数据作为来源
    val properties = new Properties()
    properties.setProperty("bootstrap.servers", "localhost:9092")
    properties.setProperty("group.id", "consumer-group")
    properties.setProperty("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer")
    properties.setProperty("value.deserializer", "org.apache.kafka.common.serialization.StringDeserializer")
    properties.setProperty("auto.offset.reset", "latest")

    val stream3 = env.addSource(new FlinkKafkaConsumer011[String]("sensor", new SimpleStringSchema(), properties))
    stream3.print("stream3").setParallelism(1)
    env.execute("source test")
  }
}

1.启动zookerper 

   2.启动Kafka

   3.启动Producer并发送数据

   4.结果

Windows下Flink读取Kafka