Github user darose commented on the pull request:

    https://github.com/apache/spark/pull/468#issuecomment-42027309
  
    Man oh man, I cannot get this to work no way no how.  I tried rebuilding 
spark using the jets3t 0.9 jar, then tried rebuilding shark doing the same.  I 
keep getting a verify error - presumably because something in the call stack 
isn't compatible with the new jets3t version.  Anyone have any 
ideas/suggestions?  I'm at my wits' end on this.  Spent days, and still unable 
to get a working version of spark/shark running with CDH5.  Output below.
    
    ```
    14/05/02 06:34:14 WARN scheduler.TaskSetManager: Loss was due to 
java.lang.VerifyError
    java.lang.VerifyError: Bad type on operand stack
    Exception Details:
      Location:
        
org/apache/hadoop/fs/s3native/Jets3tNativeFileSystemStore.initialize(Ljava/net/URI;Lorg/apache/hadoop/conf/Configuration;)V
 @38: invokespecial
      Reason:
        Type 'org/jets3t/service/security/AWSCredentials' (current frame, 
stack[3]) is not assignable to 'org/jets3t/service/security/ProviderCredentials
    '
      Current Frame:
        bci: @38
        flags: { }
        locals: { 'org/apache/hadoop/fs/s3native/Jets3tNativeFileSystemStore', 
'java/net/URI', 'org/apache/hadoop/conf/Configuration', 'org/apache/hadoop
    /fs/s3/S3Credentials', 'org/jets3t/service/security/AWSCredentials' }
        stack: { 'org/apache/hadoop/fs/s3native/Jets3tNativeFileSystemStore', 
uninitialized 32, uninitialized 32, 'org/jets3t/service/security/AWSCredent
    ials' }
      Bytecode:
        0000000: bb00 0259 b700 034e 2d2b 2cb6 0004 bb00
        0000010: 0559 2db6 0006 2db6 0007 b700 083a 042a
        0000020: bb00 0959 1904 b700 0ab5 000b a700 0b3a
        0000030: 042a 1904 b700 0d2a 2c12 0e03 b600 0fb5
        0000040: 0010 2a2c 1211 1400 12b6 0014 1400 15b8
        0000050: 0017 b500 182a 2c12 1914 0015 b600 1414
        0000060: 0015 b800 17b5 001a 2abb 001b 592b b600
        0000070: 1cb7 001d b500 1eb1                    
      Exception Handler Table:
        bci [14, 44] => handler: 47
      Stackmap Table:                                                           
                                                               [344/1956]
        
full_frame(@47,{Object[#176],Object[#177],Object[#178],Object[#179]},{Object[#180]})
        same_frame(@55)
    
            at 
org.apache.hadoop.fs.s3native.NativeS3FileSystem.createDefaultStore(NativeS3FileSystem.java:280)
            at 
org.apache.hadoop.fs.s3native.NativeS3FileSystem.initialize(NativeS3FileSystem.java:270)
            at 
org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2397)
            at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:89)
            at 
org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2431)
            at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2413)
            at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:368)
            at org.apache.hadoop.fs.Path.getFileSystem(Path.java:296)
            at 
org.apache.hadoop.mapred.LineRecordReader.<init>(LineRecordReader.java:107)
            at 
org.apache.hadoop.mapred.TextInputFormat.getRecordReader(TextInputFormat.java:67)
            at 
org.apache.spark.rdd.HadoopRDD$$anon$1.<init>(HadoopRDD.scala:156)
            at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:149)
            at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:64)
            at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:241)
            at org.apache.spark.rdd.RDD.iterator(RDD.scala:232)
            at org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31)
            at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:241)
            at org.apache.spark.rdd.RDD.iterator(RDD.scala:232)
            at 
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:34)
            at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:241)
            at org.apache.spark.rdd.RDD.iterator(RDD.scala:232)
            at 
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:34)
            at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:241)
            at org.apache.spark.rdd.RDD.iterator(RDD.scala:232)
            at 
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:34)
            at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:241)
            at org.apache.spark.rdd.RDD.iterator(RDD.scala:232)
            at 
org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:109)
            at org.apache.spark.scheduler.Task.run(Task.scala:53)
            at 
org.apache.spark.executor.Executor$TaskRunner$$anonfun$run$1.apply$mcV$sp(Executor.scala:213)
            at 
org.apache.spark.deploy.SparkHadoopUtil$$anon$1.run(SparkHadoopUtil.scala:42)
            at 
org.apache.spark.deploy.SparkHadoopUtil$$anon$1.run(SparkHadoopUtil.scala:41)
            at java.security.AccessController.doPrivileged(Native Method)
            at javax.security.auth.Subject.doAs(Subject.java:415)
            at 
org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1548)
            at 
org.apache.spark.deploy.SparkHadoopUtil.runAsUser(SparkHadoopUtil.scala:41)
            at 
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:178)
            at 
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
            at 
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
            at java.lang.Thread.run(Thread.java:744)
    
    ```


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