本文整理汇总了Scala中org.apache.spark.streaming.Time类的典型用法代码示例。如果您正苦于以下问题：Scala Time类的具体用法？Scala Time怎么用？Scala Time使用的例子？那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。
在下文中一共展示了Time类的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Scala代码示例。
示例1: TemperatureStreaming
//设置package包名称以及导入依赖的类
import com.typesafe.config.ConfigFactory
import org.apache.spark.SparkConf
import org.apache.spark.streaming.mqtt.MQTTUtils
import org.apache.spark.streaming.{Time, Seconds, StreamingContext}
import scala.util.Try
object TemperatureStreaming extends App {
val sparkConf = new SparkConf().setAppName("RaspberryPi-Temperature").setMaster("local[*]")
val ssc = new StreamingContext(sparkConf, Seconds(5))
val brokerUrl = Try(ConfigFactory.load().getString("brokerUrl")).toOption.fold("tcp://localhost:1883")(x => x)
val TOPIC = "TemperatureEvent"
val temperatureStream = MQTTUtils.createStream(ssc, brokerUrl, TOPIC)
temperatureStream.compute(Time(5)).fold()(x => x)
temperatureStream.foreachRDD(s => s.foreach(d => println(s"Message from Pi:$d")))
ssc.start()
ssc.awaitTermination()
} 示例2: OutputManager
//设置package包名称以及导入依赖的类
package iomanager
import java.util
import com.typesafe.config.Config
import org.apache.kafka.clients.producer.{KafkaProducer, ProducerConfig, ProducerRecord}
import org.apache.spark.streaming.Time
import scala.collection.JavaConversions._
import scala.collection.parallel.mutable.ParArray
object OutputManager {
var producer: KafkaProducer[String, String] = null
var predictionWindow = 0
def prepareOutputStream(config: Config) = {
predictionWindow = config.getInt("output.predictionWindow")*1000
val brokers = config.getStringList("output.kafka.brokers").reduce(_ + "," + _)
val props = new util.HashMap[String, Object]()
props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, brokers)
props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG,
"org.apache.kafka.common.serialization.StringSerializer")
props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG,
"org.apache.kafka.common.serialization.StringSerializer")
producer = new KafkaProducer[String, String](props)
}
def sendPredictions(predictions: (
ParArray[(String, Double, String, String)],
ParArray[(String, Double, String, String)]), time: Time) = {
val simplePredictions =
"{\"predictionStart\":"+time.milliseconds+
",\"predictionEnd\":"+(time.milliseconds+predictionWindow)+
",\"positive\":["+predictions._1.map(_._3).mkString(",")+
"],\"negative\":["+predictions._2.map(_._3).mkString(",")+"]}"
val advancedPredictions =
"{\"predictionStart\":"+time.milliseconds+
",\"predictionEnd\":"+(time.milliseconds+predictionWindow)+
",\"positive\":["+predictions._1.map(_._4).mkString(",")+
"],\"negative\":["+predictions._2.map(_._4).mkString(",")+"]}"
val simpleMess =
new ProducerRecord[String, String]("simple-predictions",simplePredictions)
val advancedMess =
new ProducerRecord[String, String]("advanced-predictions",advancedPredictions)
producer.send(simpleMess)
producer.send(advancedMess)
}
}