在通过sparkshell运行以下命令时，我得到以下错误。我还在我的bash\u配置文件中添加了maprfs jar，如下所示。

scala> val input = sc.textFile("maprfs:///user/uber/list/brand.txt")
input: org.apache.spark.rdd.RDD[String] = maprfs:///user/uber/list/brand.txt MapPartitionsRDD[1] at textFile at <console>:24

scala> input.count()
java.io.IOException: No FileSystem for scheme: maprfs
  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:204)
  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:49)
  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.SparkContext.runJob(SparkContext.scala:2126)
  at org.apache.spark.rdd.RDD.count(RDD.scala:1168)
  ... 49 elided

bash\u简介：
export mapr\u home=/opt/mapr/hadoop/hadoop-2.7.0/share/hadoop/common/lib/maprfs-5.1.0-mapr.jar导出路径=$mapr\u home:$path