请帮帮我，我是一个彻底的noob当谈到Spark和haddop一般。我的代码如下所示：

public static void main(String[] args) throws IOException {

    String[] jars = {"D:\\customJars\\sparky.jar","D:\\customJars\\guava-19.0.jar"};
      System.setProperty("hadoop.home.dir", "D:\\hadoop-common-2.2.0-bin-master");
        SparkConf sparkConf = new SparkConf().setAppName("com.nucleus.spark.MlibPOC")
                .setMaster("spark://10.1.50.165:7077")
                .setJars(jars);

    JavaSparkContext jsc = new JavaSparkContext(sparkConf);
    SQLContext sqlContext = new SQLContext(jsc);

   DataFrame df = sqlContext.read().json("src/com/nucleus/spark/generated.json");

}

我的spark cluster在10.1.50.165中部署为一个单独的集群，运行rhel6，当我运行这段简单的代码时，在尝试读取json文件时，会出现如下异常：
线程“main”org.apache.spark.sparkexception中出现异常：由于阶段失败而中止作业：阶段0.0中的任务1失败了4次，最近的失败：阶段0.0中的任务1.3丢失（tid 5，10.1.50.165）：java.io.filenotfoundexception:文件file:/d:/workspace2/sparkhadoopproject/src/com/nucleus/spark/generated.json在org.apache.hadoop.fs.rawlocalfilesystem.deprecatedgetfilestatus（rawlocalfilesystem）中不存在。java:534)在org.apache.hadoop.fs.rawlocalfilesystem.getfilelinkstatusinternal（rawlocalfilesystem）上。java:747)在org.apache.hadoop.fs.rawlocalfilesystem.getfilestatus（rawlocalfilesystem）。java:524)在org.apache.hadoop.fs.filterfilesystem.getfilestatus（filterfilesystem。java:409)在org.apache.hadoop.fs.checksumfisystem$checksumfsinputchecker.（checksumfisystem。java:140)在org.apache.hadoop.fs.checksumfilesystem.open（checksumfilesystem。java:341)在org.apache.hadoop.fs.filesystem.open（文件系统）。java:766)在org.apache.hadoop.mapred.linerecordreader。java:108)在org.apache.hadoop.mapred.textinputformat.getrecordreader（textinputformat。java:67)在org.apache.spark.rdd.hadooprdd$$anon$1。scala:237)在org.apache.spark.rdd.hadooprdd.compute（hadooprdd。scala:208)在org.apache.spark.rdd.hadooprdd.compute（hadooprdd。scala:101)在org.apache.spark.rdd.rdd.computeorreadcheckpoint（rdd。scala:306)在org.apache.spark.rdd.rdd.iterator（rdd。scala:270)在org.apache.spark.rdd.mappartitionsrdd.compute（mappartitionsrdd。scala:38)在org.apache.spark.rdd.rdd.computeorreadcheckpoint（rdd。scala:306)在org.apache.spark.rdd.rdd.iterator（rdd。scala:270)在org.apache.spark.rdd.mappartitionsrdd.compute（mappartitionsrdd。scala:38)在org.apache.spark.rdd.rdd.computeorreadcheckpoint（rdd。scala:306)在org.apache.spark.rdd.rdd.iterator（rdd。scala:270)在org.apache.spark.rdd.mappartitionsrdd.compute（mappartitionsrdd。scala:38)在org.apache.spark.rdd.rdd.computeorreadcheckpoint（rdd。scala:306)在org.apache.spark.rdd.rdd.iterator（rdd。scala:270)在org.apache.spark.scheduler.resulttask.runtask（resulttask。scala:66)在org.apache.spark.scheduler.task.run（task。scala:89)在org.apache.spark.executor.executor$taskrunner.run（executor。scala:227)在java.util.concurrent.threadpoolexecutor.runworker（threadpoolexecutor。java:1142)在java.util.concurrent.threadpoolexecutor$worker.run（threadpoolexecutor。java:617)在java.lang.thread.run（线程。java:745)
驱动程序stacktrace:org.apache.spark.scheduler.dagscheduler.org$apache$spark$scheduler$dagscheduler$$failjobandindependentstages（dagscheduler）。scala:1431)在org.apache.spark.scheduler.dagscheduler$$anonfun$abortstage$1.apply（dagscheduler。scala:1419)在org.apache.spark.scheduler.dagscheduler$$anonfun$abortstage$1.apply（dagscheduler。scala:1418) 在scala.collection.mutable.resizablearray$class.foreach（resizablearray。scala:59)在scala.collection.mutable.arraybuffer.foreach（arraybuffer。scala:47)在org.apache.spark.scheduler.dagscheduler.abortstage（dagscheduler。scala:1418)位于org.apache.spark.scheduler.dagscheduler$$anonfun$handletasksetfailed$1.apply（dagscheduler）。scala:799)在org.apache.spark.scheduler.dagscheduler$$anonfun$handletasksetfailed$1.apply（dagscheduler）。scala:799)在scala.option.foreach（option。scala:236)在org.apache.spark.scheduler.dagscheduler.handletasksetfailed（dagscheduler。scala:799)位于org.apache.spark.scheduler.dagschedulereventprocessloop.doonreceive（dagscheduler。scala:1640)在org.apache.spark.scheduler.dagschedulereventprocessloop.onreceive（dagscheduler。scala:1599)位于org.apache.spark.scheduler.dagschedulereventprocessloop.onreceive（dagscheduler。scala:1588)在org.apache.spark.util.eventloop$$anon$1.run（eventloop。scala:48)在org.apache.spark.scheduler.dagscheduler.runjob（dagscheduler。scala:620)在org.apache.spark.sparkcontext.runjob（sparkcontext。scala:1832)在org.apache.spark.sparkcontext.runjob（sparkcontext。scala:1952)在org.apache.spark.rdd.rdd$$anonfun$reduce$1.apply（rdd。scala:1025)在org.apache.spark.rdd.rddoperationscope$.withscope（rddoperationscope。scala:150)在org.apache.spark.rdd.rddoperationscope$.withscope（rddoperationscope。scala:111)在org.apache.spark.rdd.rdd.withscope（rdd。scala:316)在org.apache.spark.rdd.rdd.reduce（rdd。scala:1007)在org.apache.spark.rdd.rdd$$anonfun$treeaggegate$1.apply（rdd。scala:1150)在org.apache.spark.rdd.rddoperationscope$.withscope（rddoperationscope。scala:150)在org.apache.spark.rdd.rddoperationscope$.withscope（rddoperationscope。scala:111)在org.apache.spark.rdd.rdd.withscope（rdd。scala:316)在org.apache.spark.rdd.rdd.treeaggregate（rdd。scala:1127)位于org.apache.spark.sql.execution.datasources.json.inferschema$.infer（inferschema。scala:65)在org.apache.spark.sql.execution.datasources.json.jsonrelation$$anonfun$4.apply（jsonrelation）。scala:114)位于org.apache.spark.sql.execution.datasources.json.jsonrelation$$anonfun$4.apply（jsonrelation）。scala:109)在scala.option.getorelse（option。scala:120)在org.apache.spark.sql.execution.datasources.json.jsonrelation.dataschema$lzycompute（jsonrelation）。scala:109)位于org.apache.spark.sql.execution.datasources.json.jsonrelation.dataschema（jsonrelation）。scala:108)在org.apache.spark.sql.sources.hadoopfsrelation.schema$lzycompute（interfaces。scala:636)在org.apache.spark.sql.sources.hadoopfsrelation.schema（接口。scala:635)在org.apache.spark.sql.execution.datasources.logicalrelation。scala:37)位于org.apache.spark.sql.dataframereader.load（dataframereader。scala:125)位于org.apache.spark.sql.dataframereader.load（dataframereader。scala:109)在org.apache.spark.sql.dataframereader.json（dataframereader。scala:244)在com.nucleus.spark.mlibpoc.main（mlibpoc。java:44)原因：java.io.filenotfoundexception:file:/d:/workspace2/sparkhadoopproject/src/com/nucleus/spark/generated.json不存在于org.apache.hadoop.fs.rawlocalfilesystem.deprecatedgetfilestatus（rawlocalfilesystem）。java:534)在org.apache.hadoop.fs.rawlocalfilesystem.getfilelinkstatusinternal（rawlocalfilesystem）上。java:747)位于org.apache.hadoop.fs.rawlocalfilesystem.getfilestatus（rawlocalfilesystem）。java:524)在org.apache.hadoop.fs.filterfilesystem.getfilestatus（filterfilesystem。java:409)在org.apache.hadoop.fs.checksumfisystem$checksumfsinputchecker.（checksumfisystem。java:140)在org.apache.hadoop.fs.checksumfilesystem.open（checksumfilesystem。java:341)在org.apache.hadoop.fs.filesystem.open（filesystem。java:766)在org.apache.hadoop.mapred.linerecordreader.（linerecordreader。java:108)在org.apache.hadoop.mapred.textinputformat.getrecordreader（textinputformat。java:67)在org.apache.spark.rdd.hadooprdd$$anon$1。scala:237)在org.apache.spark.rdd.hadooprdd.compute（hadooprdd。scala:208)在org.apache.spark.rdd.hadooprdd.compute（hadooprdd。scala:101)在org.apache.spark.rdd.rdd.computeorreadcheckpoint（rdd。scala:306)在org.apache.spark.rdd.rdd.iterator（rdd。scala:270)在org.apache.spark.rdd.mappartitionsrdd.compute（mappartitionsrdd。scala:38)在org.apache.spark.rdd.rdd.computeorreadcheckpoint（rdd。scala:306)在org.apache.spark.rdd.rdd.iterator（rdd。scala:270)在org.apache.spark.rdd.mappartitionsrdd.compute（mappartitionsrdd。scala:38)在org.apache.spark.rdd.rdd.computeorreadcheckpoint（rdd。scala:306)在org.apache.spark.rdd.rdd.iterator（rdd。scala:270)在org.apache.spark.rdd.mappartitionsrdd.compute（mappartitionsrdd。scala:38)在org.apache.spark.rdd.rdd.computeorreadcheckpoint（rdd。scala:306)在org.apache.spark.rdd.rdd.iterator（rdd。scala:270)在org.apache.spark.scheduler.resulttask.runtask（resulttask。scala:66)在org.apache.spark.scheduler.task.run（task。scala:89)在org.apache.spark.executor.executor$taskrunner.run（executor。scala:227)位于java.util.concurrent.threadpoolexecutor.runworker（threadpoolexecutor。java:1142)在java.util.concurrent.threadpoolexecutor$worker.run（threadpoolexecutor。java:617)在java.lang.thread.run（线程。java:745)