Spark Streaming 实时监控一个HDFS的文件夹，当新的文件进来（名字不能重复），将对新文件进行处理。

import org.apache.log4j.{Level, Logger}
import org.apache.spark.SparkConf
import org.apache.spark.streaming.dstream.DStream
import org.apache.spark.streaming.{Seconds, StreamingContext}

/**
  * Spark Streaming 实时监控一个HDFS的文件夹，当新的文件进来（名字不能重复），将对新文件进行处理。
  * Created by csw on 2017/7/4.
  */
object HDFSDemo {
  def main(args: Array[String]): Unit = {
    Logger.getLogger("org").setLevel(Level.WARN)
    val config = new SparkConf().setAppName("Spark shell")
    val ssc = new StreamingContext(config, Seconds(10))
    val lines = ssc.textFileStream("hdfs://master:9000/csw/tmp2/test/")
    val words: DStream[String] = lines.flatMap(_.split(" "))
    val wordCounts: DStream[(String, Int)] = words.map(x => (x, 1)).reduceByKey(_ + _)
    wordCounts.print()
    ssc.start()
    ssc.awaitTermination()
  }
}

//下满是获取Linux本地的文件

val lines = ssc.textFileStream("file:///csw/tmp/test2")