[jira] [Created] (SPARK-8385) java.lang.UnsupportedOperationException: Not implemented by the TFS FileSystem implementation

["Peter Haumer (JIRA)" <ji...@apache.org>]

Peter Haumer created SPARK-8385:
-----------------------------------

             Summary: java.lang.UnsupportedOperationException: Not implemented by the TFS FileSystem implementation
                 Key: SPARK-8385
                 URL: https://issues.apache.org/jira/browse/SPARK-8385
             Project: Spark
          Issue Type: Bug
          Components: Input/Output
    Affects Versions: 1.4.0
         Environment: RHEL 7.1
            Reporter: Peter Haumer


I used to be able to debug my Spark apps in Eclipse. With Spark 1.3.1 I created a launch and just set the vm var "-Dspark.master=local[4]".  
With 1.4 this stopped working when reading files from the OS filesystem. Running the same apps with spark-submit works fine.  Loosing the ability to debug that way has a major impact on the usability of Spark.

The following exception is thrown:

Exception in thread "main" java.lang.UnsupportedOperationException: Not implemented by the TFS FileSystem implementation
at org.apache.hadoop.fs.FileSystem.getScheme(FileSystem.java:213)
at org.apache.hadoop.fs.FileSystem.loadFileSystems(FileSystem.java:2401)
at org.apache.hadoop.fs.FileSystem.getFileSystemClass(FileSystem.java:2411)
at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2428)
at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:88)
at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2467)
at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2449)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:367)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:166)
at org.apache.hadoop.mapred.JobConf.getWorkingDirectory(JobConf.java:653)
at org.apache.hadoop.mapred.FileInputFormat.setInputPaths(FileInputFormat.java:389)
at org.apache.hadoop.mapred.FileInputFormat.setInputPaths(FileInputFormat.java:362)
at org.apache.spark.SparkContext$$anonfun$28.apply(SparkContext.scala:762)
at org.apache.spark.SparkContext$$anonfun$28.apply(SparkContext.scala:762)
at org.apache.spark.rdd.HadoopRDD$$anonfun$getJobConf$6.apply(HadoopRDD.scala:172)
at org.apache.spark.rdd.HadoopRDD$$anonfun$getJobConf$6.apply(HadoopRDD.scala:172)
at scala.Option.map(Option.scala:145)
at org.apache.spark.rdd.HadoopRDD.getJobConf(HadoopRDD.scala:172)
at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:196)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:219)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:217)
at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:32)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:219)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:217)
at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:32)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:219)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:217)
at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:32)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:219)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:217)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1535)
at org.apache.spark.rdd.RDD.reduce(RDD.scala:900)
at org.apache.spark.api.java.JavaRDDLike$class.reduce(JavaRDDLike.scala:357)
at org.apache.spark.api.java.AbstractJavaRDDLike.reduce(JavaRDDLike.scala:46)
at com.databricks.apps.logs.LogAnalyzer.main(LogAnalyzer.java:60)







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