TaskSetManager: Lost task 0.0 in stage 9.0 (TID 18, localhost, executor driver): java.lang.NoSuchMet

环境 window10 ，idea ，scala-2.11， spark-2.2.0
问题：
本地运行spark sql代码报错

//5. 从外部数据源获取数据
    val fileDogDF = spark.read.json(s"data/sql/te.json")
    fileDogDF.show()

提示的异常：

TaskSetManager: Lost task 0.0 in stage 9.0 (TID 18, localhost, executor driver): java.lang.NoSuchMethodError: org.apache.spark.deploy.SparkHadoopUtil.getFSBytesReadOnThreadCallback()Lscala/Option;
    at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.<init>(FileScanRDD.scala:78)
    at org.apache.spark.sql.execution.datasources.FileScanRDD.compute(FileScanRDD.scala:71)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
    at org.apache.spark.scheduler.Task.run(Task.scala:108)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    at java.lang.Thread.run(Thread.java:748)

原因：
可能是windows上的hdoop和spark版本不兼容导致的，在linux的spark-shell种可以运行
解决办法：
暂无