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https://issues.apache.org/jira/browse/MAHOUT-1615?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14150282#comment-14150282
 ] 

ASF GitHub Bot commented on MAHOUT-1615:
----------------------------------------

Github user andrewpalumbo commented on the pull request:

    https://github.com/apache/mahout/pull/52#issuecomment-57036558
  
    Doesn't look like my workarounds pass the tests:
    
    ```scala
        private[common] def w2bytes(w: Writable) =
                            
Arrays.copyOf(w.asInstanceOf[BytesWritable].getBytes(),
                            w.asInstanceOf[BytesWritable].getLength())
    ```
    should be ok but: 
    
    ```scala
        .filter { s => !s.getPath.getName.startsWith("\\.") && !s.isDir}
    ```
    doesn't work in DRM DFS test: 
    
    ```
    - DRM DFS i/o (local) *** FAILED ***
      java.io.EOFException:
      at java.io.DataInputStream.readFully(DataInputStream.java:197)
      at java.io.DataInputStream.readFully(DataInputStream.java:169)
      at org.apache.hadoop.io.SequenceFile$Reader.init(SequenceFile.java:1512)
      at org.apache.hadoop.io.SequenceFile$Reader.<init>(SequenceFile.java:1490)
      at org.apache.hadoop.io.SequenceFile$Reader.<init>(SequenceFile.java:1479)
      at org.apache.hadoop.io.SequenceFile$Reader.<init>(SequenceFile.java:1474)
      at 
org.apache.mahout.common.Hadoop1HDFSUtil$.readDrmHeader(Hadoop1HDFSUtil.scala:53)
    ```
     


> SparkEngine drmFromHDFS returning the same Key for all Key,Vec Pairs for 
> Text-Keyed SequenceFiles
> -------------------------------------------------------------------------------------------------
>
>                 Key: MAHOUT-1615
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-1615
>             Project: Mahout
>          Issue Type: Bug
>            Reporter: Andrew Palumbo
>             Fix For: 1.0
>
>
> When reading in seq2sparse output from HDFS in the spark-shell of form 
> <Text,VectorWriteable>  SparkEngine's drmFromHDFS method is creating rdds 
> with the same Key for all Pairs:  
> {code}
> mahout> val drmTFIDF= drmFromHDFS( path = 
> "/tmp/mahout-work-andy/20news-test-vectors/part-r-00000")
> {code}
> Has keys:
> {...} 
>     key: /talk.religion.misc/84570
>     key: /talk.religion.misc/84570
>     key: /talk.religion.misc/84570
> {...}
> for the entire set.  This is the last Key in the set.
> The problem can be traced to the first line of drmFromHDFS(...) in 
> SparkEngine.scala: 
> {code}
>  val rdd = sc.sequenceFile(path, classOf[Writable], classOf[VectorWritable], 
> minPartitions = parMin)
>         // Get rid of VectorWritable
>         .map(t => (t._1, t._2.get()))
> {code}
> which gives the same key for all t._1.
>   



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