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From "Steve Loughran (JIRA)" <j...@apache.org>
Subject [jira] [Reopened] (SPARK-8385) java.lang.UnsupportedOperationException: Not implemented by the TFS FileSystem implementation
Date Mon, 27 Jul 2015 23:38:05 GMT

     [ https://issues.apache.org/jira/browse/SPARK-8385?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Steve Loughran reopened SPARK-8385:
-----------------------------------

I can reproduce this too, and have actually managed to do it in the spark tests, somehow

{code}
2015-07-27 16:28:13,267 [IPC Server handler 9 on 61736] INFO  resourcemanager.ClientRMService
(ClientRMService.java:getNewApplicationId(286)) - Allocated new applicationId: 2
2015-07-27 16:28:13,341 [stderr] INFO  util.Utils (Logging.scala:logInfo(59)) - Exception
in thread "main" java.lang.UnsupportedOperationException: Not implemented by the TFS FileSystem
implementation
2015-07-27 16:28:13,341 [stderr] INFO  util.Utils (Logging.scala:logInfo(59)) - 	at org.apache.hadoop.fs.FileSystem.getScheme(FileSystem.java:214)
2015-07-27 16:28:13,342 [stderr] INFO  util.Utils (Logging.scala:logInfo(59)) - 	at org.apache.hadoop.fs.FileSystem.loadFileSystems(FileSystem.java:2365)
2015-07-27 16:28:13,342 [stderr] INFO  util.Utils (Logging.scala:logInfo(59)) - 	at org.apache.hadoop.fs.FileSystem.getFileSystemClass(FileSystem.java:2375)
2015-07-27 16:28:13,342 [stderr] INFO  util.Utils (Logging.scala:logInfo(59)) - 	at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2392)
2015-07-27 16:28:13,342 [stderr] INFO  util.Utils (Logging.scala:logInfo(59)) - 	at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:89)
2015-07-27 16:28:13,342 [stderr] INFO  util.Utils (Logging.scala:logInfo(59)) - 	at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2431)
2015-07-27 16:28:13,342 [stderr] INFO  util.Utils (Logging.scala:logInfo(59)) - 	at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2413)
2015-07-27 16:28:13,342 [stderr] INFO  util.Utils (Logging.scala:logInfo(59)) - 	at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:368)
2015-07-27 16:28:13,343 [stderr] INFO  util.Utils (Logging.scala:logInfo(59)) - 	at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:167)
2015-07-27 16:28:13,343 [stderr] INFO  util.Utils (Logging.scala:logInfo(59)) - 	at org.apache.spark.deploy.yarn.Client.prepareLocalResources(Client.scala:216)
2015-07-27 16:28:13,343 [stderr] INFO  util.Utils (Logging.scala:logInfo(59)) - 	at org.apache.spark.deploy.yarn.Client.createContainerLaunchContext(Client.scala:384)
2015-07-27 16:28:13,343 [stderr] INFO  util.Utils (Logging.scala:logInfo(59)) - 	at org.apache.spark.deploy.yarn.Client.submitApplication(Client.scala:102)
2015-07-27 16:28:13,343 [stderr] INFO  util.Utils (Logging.scala:logInfo(59)) - 	at org.apache.spark.deploy.yarn.Client.run(Client.scala:619)
2015-07-27 16:28:13,343 [stderr] INFO  util.Utils (Logging.scala:logInfo(59)) - 	at org.apache.spark.deploy.yarn.Client$.main(Client.scala:647)
2015-07-27 16:28:13,343 [stderr] INFO  util.Utils (Logging.scala:logInfo(59)) - 	at org.apache.spark.deploy.yarn.Client.main(Client.scala)
2015-07-27 16:28:13,343 [stderr] INFO  util.Utils (Logging.scala:logInfo(59)) - 	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native
Method)
{code}



> 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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