sparkStream mapWithState
作者:互联网
目的
保存所有数字求和的状态,输出累积求和的值
代码
package com.yy.udf
import org.apache.spark.SparkConf
import org.apache.spark.streaming.dstream.MapWithStateDStream
import org.apache.spark.streaming.{Seconds, State, StateSpec, StreamingContext}
object MapWithStateLearn {
def main(args: Array[String]): Unit = {
val conf = new SparkConf().setMaster("local[2]").setAppName("NetworkWordCount")
val ssc = new StreamingContext(conf, Seconds(5))
val stream = ssc.socketTextStream("127.0.0.1",9999) //nc -lk发送数字
ssc.checkpoint("C:\\yy\\coding_project\\yy\\data")
ssc.sparkContext.setLogLevel("ERROR")
val stateSpec = StateSpec.function(stateFunc _)
// mapWithState 统计你输入数字的和
val value: MapWithStateDStream[String, Long, Long, Option[(String, Long)]] = stream.map { record =>
("sum_number:", record.toLong)
}.mapWithStat
标签:mapWithState,sparkStream,String,val,Long,yy,import,ssc 来源: https://blog.csdn.net/qq_35515661/article/details/121216684