Spark WordCount执行报错：Exception in thread “main“ java.lang.UnsatisfiedLinkError

报错信息：

org.apache.hadoop.io.nativeio.NativeIO$POSIX.stat(Ljava/lang/String;)Lorg/apache/hadoop/io/nativeio/NativeIO$POSIX$Stat;

解释：本地IO（nativeIO）无法读取文件

代码：

object Spark01_WordCount {
  def main(args: Array[String]): Unit = {
    val conf = new SparkConf().setMaster("local").setAppName("wordCount")
    val sc = new SparkContext(conf)

    val lines: RDD[String] = sc.textFile("datas/*")
    //将一行数据进行拆分，形成一个一个的单词  扁平化操作
    val words: RDD[String] = lines.flatMap(_.split(" "))
    //将数据根据单词进行分组，便于统计
    val wordGroup: RDD[(String, Iterable[String])] = words.groupBy(word=>word)
    //对分组后的数据进行转换
    val wordToCount: RDD[(String, Int)] = wordGroup.map {
      case (word, list) => {
        (word, list.size)
      }
    }
    val array: Array[(String, Int)] = wordToCount.collect()
    array.foreach(println)
    sc.stop()
  }
}

解决方案：

在 sc.textFile，提供准确的文件路径

val lines: RDD[String] = sc.textFile("datas/*")