sprak执行jar包，java.io.IOException: No FileSystem for scheme: g

scala代码实现wordcount，IDEA下执行成功：

object WordCountByScala {
  def main(args: Array[String]): Unit = {
    val conf = new SparkConf();
    conf.setAppName("WordCountSpark")
    conf.setMaster("local")

    val sc = new SparkContext(conf);


    val rdd1 = sc.textFile("g:/shared/word.txt")
    val rdd2 = rdd1.flatMap(_.split(" "))
    val rdd3 = rdd2.map((_,1))
    val rdd4 = rdd3.reduceByKey(_+_)
    val r = rdd4.collect()
    r.foreach(println)

  }

maven打成jar包：SparkDemo-1.0-SNAPSHOT.jar

spark本地模式中执行：

spark-submit --master local --name MyWordCount --class com.it.spark.scala.WordCountByScala SparkDemo-1.0-SNAPSHOT.jar /home/centos/word.txt

报错：

Exception in thread "main" java.io.IOException: No FileSystem for scheme: g
        at org.apache.hadoop.fs.FileSystem.getFileSystemClass(FileSystem.java:2660)
        at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2667)
        at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:94)
        at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2703)
        at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2685)
        at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:373)
        at org.apache.hadoop.fs.Path.getFileSystem(Path.java:295)
        at org.apache.hadoop.mapred.FileInputFormat.singleThreadedListStatus(FileInputFormat.java:258)
        at org.apache.hadoop.mapred.FileInputFormat.listStatus(FileInputFormat.java:229)
        at org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.java:315)
        at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:200)
        at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:253)
        at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:251)
        at scala.Option.getOrElse(Option.scala:121)
        at org.apache.spark.rdd.RDD.partitions(RDD.scala:251)
        at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
        at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:253)
        at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:251)
        at scala.Option.getOrElse(Option.scala:121)
        at org.apache.spark.rdd.RDD.partitions(RDD.scala:251)
        at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
        at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:253)
        at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:251)
        at scala.Option.getOrElse(Option.scala:121)
        at org.apache.spark.rdd.RDD.partitions(RDD.scala:251)
        at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
        at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:253)
        at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:251)
        at scala.Option.getOrElse(Option.scala:121)
        at org.apache.spark.rdd.RDD.partitions(RDD.scala:251)
        at org.apache.spark.Partitioner$$anonfun$4.apply(Partitioner.scala:75)
        at org.apache.spark.Partitioner$$anonfun$4.apply(Partitioner.scala:75)
        at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
        at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
        at scala.collection.immutable.List.foreach(List.scala:381)
        at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
        at scala.collection.immutable.List.map(List.scala:285)
        at org.apache.spark.Partitioner$.defaultPartitioner(Partitioner.scala:75)
        at org.apache.spark.rdd.PairRDDFunctions$$anonfun$reduceByKey$3.apply(PairRDDFunctions.scala:326)
        at org.apache.spark.rdd.PairRDDFunctions$$anonfun$reduceByKey$3.apply(PairRDDFunctions.scala:326)
        at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
        at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
        at org.apache.spark.rdd.RDD.withScope(RDD.scala:363)
        at org.apache.spark.rdd.PairRDDFunctions.reduceByKey(PairRDDFunctions.scala:325)
        at com.it18zhang.spark.scala.WordCountByScala$.main(WordCountByScala.scala:21)
        at com.it18zhang.spark.scala.WordCountByScala.main(WordCountByScala.scala)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:497)
        at org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
        at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:894)
        at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:198)
        at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:228)
        at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:137)
        at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)

我的pom配置如下：

    4.0.0

    com.it
    SparkDemo
    1.0-SNAPSHOT

    
        
            org.apache.spark
            spark-core_2.11
            2.3.1
        
        
            org.scala-lang
            scala-library
            2.11.7
        
        
            org.apache.hadoop
            hadoop-hdfs
            2.7.3
        
    

网上的好多方法都尝试了，还没有成功。求帮忙