java.lang.ClassCastException: 
org.apache.hadoop.mapreduce.ReduceContext$ValueIterable cannot be cast to 
java.util.Iterator
--------------------------------------------------------------------------------------------------------------------------

                 Key: HADOOP-7819
                 URL: https://issues.apache.org/jira/browse/HADOOP-7819
             Project: Hadoop Common
          Issue Type: Bug
    Affects Versions: 0.20.2
         Environment: Linux calculate 2.6.39-pf4 #15 SMP PREEMPT Sat Nov 5 
18:14:51 GST 2011 x86_64 Intel(R) Core(TM) i3 CPU M 330 @ 2.13GHz GenuineIntel 
GNU/Linux
java version "1.6.0_26"
Java(TM) SE Runtime Environment (build 1.6.0_26-b03)
Java HotSpot(TM) 64-Bit Server VM (build 20.1-b02, mixed mode)
            Reporter: Eldar Abdrazakov


11/11/13 22:07:26 INFO jvm.JvmMetrics: Initializing JVM Metrics with 
processName=JobTracker, sessionId=
WARNING: partition-by already refers to: #'clojure.core/partition-by in 
namespace: hadoop1, being replaced by: #'clojure.contrib.seq-utils/partition-by
WARNING: frequencies already refers to: #'clojure.core/frequencies in 
namespace: hadoop1, being replaced by: #'clojure.contrib.seq-utils/frequencies
WARNING: shuffle already refers to: #'clojure.core/shuffle in namespace: 
hadoop1, being replaced by: #'clojure.contrib.seq-utils/shuffle
WARNING: reductions already refers to: #'clojure.core/reductions in namespace: 
hadoop1, being replaced by: #'clojure.contrib.seq-utils/reductions
WARNING: partition-all already refers to: #'clojure.core/partition-all in 
namespace: hadoop1, being replaced by: #'clojure.contrib.seq-utils/partition-all
WARNING: group-by already refers to: #'clojure.core/group-by in namespace: 
hadoop1, being replaced by: #'clojure.contrib.seq-utils/group-by
WARNING: flatten already refers to: #'clojure.core/flatten in namespace: 
hadoop1, being replaced by: #'clojure.contrib.seq-utils/flatten
11/11/13 22:07:26 INFO input.FileInputFormat: Total input paths to process : 1
11/11/13 22:07:26 INFO mapred.JobClient: Running job: job_local_0001
11/11/13 22:07:26 INFO input.FileInputFormat: Total input paths to process : 1
11/11/13 22:07:26 INFO mapred.MapTask: io.sort.mb = 100
11/11/13 22:07:27 INFO mapred.MapTask: data buffer = 79691776/99614720
11/11/13 22:07:27 INFO mapred.MapTask: record buffer = 262144/327680
11/11/13 22:07:27 INFO mapred.JobClient:  map 0% reduce 0%
11/11/13 22:07:30 INFO mapred.MapTask: Spilling map output: record full = true
11/11/13 22:07:30 INFO mapred.MapTask: bufstart = 0; bufend = 2097400; bufvoid 
= 99614720
11/11/13 22:07:30 INFO mapred.MapTask: kvstart = 0; kvend = 262144; length = 
327680
11/11/13 22:07:31 INFO mapred.MapTask: Finished spill 0
11/11/13 22:07:32 INFO mapred.LocalJobRunner: 
11/11/13 22:07:33 INFO mapred.MapTask: Spilling map output: record full = true
11/11/13 22:07:33 INFO mapred.MapTask: bufstart = 2097400; bufend = 4194707; 
bufvoid = 99614720
11/11/13 22:07:33 INFO mapred.MapTask: kvstart = 262144; kvend = 196607; length 
= 327680
11/11/13 22:07:33 INFO mapred.JobClient:  map 75% reduce 0%
11/11/13 22:07:34 INFO mapred.MapTask: Finished spill 1
11/11/13 22:07:34 INFO mapred.MapTask: Starting flush of map output
11/11/13 22:07:34 INFO mapred.MapTask: Finished spill 2
11/11/13 22:07:34 INFO mapred.Merger: Merging 3 sorted segments
11/11/13 22:07:34 INFO mapred.Merger: Down to the last merge-pass, with 3 
segments left of total size: 6276350 bytes
11/11/13 22:07:35 INFO mapred.TaskRunner: Task:attempt_local_0001_m_000000_0 is 
done. And is in the process of commiting
11/11/13 22:07:35 INFO mapred.LocalJobRunner: 
11/11/13 22:07:35 INFO mapred.TaskRunner: Task 'attempt_local_0001_m_000000_0' 
done.
11/11/13 22:07:35 INFO mapred.LocalJobRunner: 
11/11/13 22:07:35 INFO mapred.Merger: Merging 1 sorted segments
11/11/13 22:07:35 INFO mapred.Merger: Down to the last merge-pass, with 1 
segments left of total size: 6276346 bytes
11/11/13 22:07:35 INFO mapred.LocalJobRunner: 
11/11/13 22:07:35 WARN mapred.LocalJobRunner: job_local_0001
java.lang.ClassCastException: 
org.apache.hadoop.mapreduce.ReduceContext$ValueIterable cannot be cast to 
java.util.Iterator
        at clojure.core$iterator_seq.invoke(core.clj:4561)
        at hadoop1$string_long_reduce_reader$fn__214.invoke(hadoop1.clj:40)
        at hadoop1$my_reduce.invoke(hadoop1.clj:31)
        at clojure.lang.AFn.applyToHelper(AFn.java:165)
        at clojure.lang.AFn.applyTo(AFn.java:151)
        at clojure.core$apply.invoke(core.clj:540)
        at clojure_hadoop.wrap$wrap_reduce$fn__178.invoke(wrap.clj:92)
        at clojure_hadoop.job_reducer.reduce(Unknown Source)
        at org.apache.hadoop.mapreduce.Reducer.run(Reducer.java:176)
        at clojure_hadoop.job_reducer.run(Unknown Source)
        at 
org.apache.hadoop.mapred.ReduceTask.runNewReducer(ReduceTask.java:566)
        at org.apache.hadoop.mapred.ReduceTask.run(ReduceTask.java:408)
        at 
org.apache.hadoop.mapred.LocalJobRunner$Job.run(LocalJobRunner.java:216)
11/11/13 22:07:35 INFO mapred.JobClient:  map 100% reduce 0%
11/11/13 22:07:35 INFO mapred.JobClient: Job complete: job_local_0001
11/11/13 22:07:35 INFO mapred.JobClient: Counters: 12
11/11/13 22:07:35 INFO mapred.JobClient:   FileSystemCounters
11/11/13 22:07:35 INFO mapred.JobClient:     FILE_BYTES_READ=22930784
11/11/13 22:07:35 INFO mapred.JobClient:     FILE_BYTES_WRITTEN=28672002
11/11/13 22:07:35 INFO mapred.JobClient:   Map-Reduce Framework
11/11/13 22:07:35 INFO mapred.JobClient:     Reduce input groups=0
11/11/13 22:07:35 INFO mapred.JobClient:     Combine output records=0
11/11/13 22:07:35 INFO mapred.JobClient:     Map input records=12760
11/11/13 22:07:35 INFO mapred.JobClient:     Reduce shuffle bytes=0
11/11/13 22:07:35 INFO mapred.JobClient:     Reduce output records=0
11/11/13 22:07:35 INFO mapred.JobClient:     Spilled Records=1255180
11/11/13 22:07:35 INFO mapred.JobClient:     Map output bytes=5021164
11/11/13 22:07:35 INFO mapred.JobClient:     Combine input records=0
11/11/13 22:07:35 INFO mapred.JobClient:     Map output records=627590
11/11/13 22:07:35 INFO mapred.JobClient:     Reduce input records=0


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