我使用了SparkContext.addFile("hdfs://host:54310/spark/fileName.txt")并在SparkContext中添加了一个文件。我使用org.apache.spark.SparkFiles.get(fileName.txt)验证了它的存在。 它显示了一条绝对的路径，类似于/tmp/spark-xxxx/userFiles-xxxx/fileName.txt.
现在我想从上面给定的绝对路径中读取该文件 位置从
SparkContext。我试过了sc.textFile(org.apache.spark.SparkFiles.get("fileName.txt")).collect().foreach(println)它将SparkFiles.get()返回的路径视为HDFS 路径，这是不正确的。
我广泛搜索以找到任何有用的读物，但运气不好。
方法有什么问题吗？任何帮助真的非常感谢。
以下是代码和结果：
scala> sc.addFile("hdfs://localhost:54310/spark/fileName.txt")
scala> org.apache.spark.SparkFiles.get("fileName.txt")
res23: String = /tmp/spark-3646b5fe-0a67-4a16-bd25-015cc73533cd/userFiles-a7d54640-fab2-4dfa-a94f-7de6f74a0764/fileName.txt
scala> sc.textFile(org.apache.spark.SparkFiles.get("fileName.txt")).collect().foreach(println)
org.apache.hadoop.mapred.InvalidInputException: Input path does not exist: hdfs://localhost:54310/tmp/spark-3646b5fe-0a67-4a16-bd25-015cc73533cd/userFiles-a7d54640-fab2-4dfa-a94f-7de6f74a0764/fileName.txt
at org.apache.hadoop.mapred.FileInputFormat.singleThreadedListStatus(FileInputFormat.java:287)
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.SparkContext.runJob(SparkContext.scala:2092)
at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:939)
at org.apache.spark.rdd.RDDOperationScope$.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.RDD.collect(RDD.scala:938)
... 49 elided
使用"file://"语法引用本地文件。
sc.textFile("file://" + org.apache.spark.SparkFiles.get("fileName.txt"))
.collect()
.foreach(println)