Spark读取目录获取文件名

import org.apache.hadoop.io.{LongWritable, Text}
import org.apache.hadoop.mapreduce.InputSplit
import org.apache.hadoop.mapreduce.lib.input.{FileSplit, TextInputFormat}
import org.apache.spark.{SparkConf, SparkContext}
import org.apache.spark.rdd.NewHadoopRDD

object sparkReadDir{
  def main(args: Array[String]): Unit = {
    val conf = new SparkConf()
    conf.setAppName("testtoarquet")
    conf.setMaster("local")
    conf.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer")
    val sc = new SparkContext(conf)
    var input = "C:\\Users\\mzz\\Desktop\\tt\\20180315\\"
    var output = ""
//val value = sc.textFile(input+"20180314_HK5-10.82.26.22.txt")
    val fileRDD = sc.newAPIHadoopFile[LongWritable, Text, TextInputFormat](input)
    val hadoopRDD = fileRDD.asInstanceOf[NewHadoopRDD[LongWritable, Text]]
    val fileAdnLine = hadoopRDD.mapPartitionsWithInputSplit((inputSplit: InputSplit, iterator: Iterator[(LongWritable, Text)]) => {
      val file = inputSplit.asInstanceOf[FileSplit]
      iterator.map(x => {
        //file.getPath.toString   文件的全路径
        //file.getPath.getName  文件名
        file.getPath.toString.split("/")(6) + "," + x._2
      })
    })
    fileAdnLine.foreach(println)
  }
}