Hi,
My goal is to run the example KMeans. I must download the synthetic control
data and put it on the dfs in "testdata".
To be sure that everything is ok, I stated form a clean state on my laptop.
I downloaded hadoop 0.18.1.
I changed the conf/hadoop-site.xml to this:
<?xml version="1.0"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<!-- Put site-specific property overrides in this file. -->
<configuration>
<property>
<name>hadoop.tmp.dir</name>
<value>/usr/local/hadoop-datastore/hadoop-${user.name}</value>
</property>
<property>
<name>fs.default.name</name>
<value>hdfs://localhost:9000</value>
</property>
<property>
<name>mapred.job.tracker</name>
<value>hdfs://localhost:9001</value>
</property>
<property>
<name>dfs.replication</name>
<value>1</value>
</property>
</configuration>
I changed JAVA_HOME in hadoop-env.sh.
I downloaded mahout from SVN, at revision 708282.
I built both core and example from ant script.
I copied apache-mahout-core-0.1-dev.jar to {hadoop-home}/lib.
I downloaded
http://archive.ics.uci.edu/ml/databases/synthetic_control/synthetic_control.data
I added the file to the dfs:
[EMAIL PROTECTED]:/usr/local/hadoop$ bin/hadoop dfs -put
/home/philippe/synthetic_control.data testdata
I ran the example jar, but it failed :
[EMAIL PROTECTED]:/usr/local/hadoop$ bin/hadoop jar
/home/philippe/workspace/MahoutJava/examples/dist/apache-mahout-examples-0.1-dev.jar
org.apache.mahout.clustering.syntheticcontrol.kmeans.Job
08/10/27 15:34:55 WARN mapred.JobClient: Use GenericOptionsParser for
parsing the arguments. Applications should implement Tool for the same.
08/10/27 15:34:55 INFO mapred.FileInputFormat: Total input paths to process
: 1
08/10/27 15:34:55 INFO mapred.FileInputFormat: Total input paths to process
: 1
08/10/27 15:34:55 INFO mapred.JobClient: Running job: job_200810271532_0001
08/10/27 15:34:56 INFO mapred.JobClient: map 0% reduce 0%
08/10/27 15:34:59 INFO mapred.JobClient: Job complete: job_200810271532_0001
08/10/27 15:34:59 INFO mapred.JobClient: Counters: 7
08/10/27 15:34:59 INFO mapred.JobClient: File Systems
08/10/27 15:34:59 INFO mapred.JobClient: HDFS bytes read=291644
08/10/27 15:34:59 INFO mapred.JobClient: HDFS bytes written=323660
08/10/27 15:34:59 INFO mapred.JobClient: Job Counters
08/10/27 15:34:59 INFO mapred.JobClient: Launched map tasks=2
08/10/27 15:34:59 INFO mapred.JobClient: Data-local map tasks=2
08/10/27 15:34:59 INFO mapred.JobClient: Map-Reduce Framework
08/10/27 15:34:59 INFO mapred.JobClient: Map input records=600
08/10/27 15:34:59 INFO mapred.JobClient: Map input bytes=288374
08/10/27 15:34:59 INFO mapred.JobClient: Map output records=600
08/10/27 15:34:59 WARN mapred.JobClient: Use GenericOptionsParser for
parsing the arguments. Applications should implement Tool for the same.
08/10/27 15:35:00 INFO mapred.FileInputFormat: Total input paths to process
: 2
08/10/27 15:35:00 INFO mapred.FileInputFormat: Total input paths to process
: 2
08/10/27 15:35:00 INFO mapred.JobClient: Running job: job_200810271532_0002
08/10/27 15:35:01 INFO mapred.JobClient: map 0% reduce 0%
08/10/27 15:35:10 INFO mapred.JobClient: map 100% reduce 0%
08/10/27 15:35:16 INFO mapred.JobClient: Job complete: job_200810271532_0002
08/10/27 15:35:16 INFO mapred.JobClient: Counters: 16
08/10/27 15:35:16 INFO mapred.JobClient: File Systems
08/10/27 15:35:16 INFO mapred.JobClient: HDFS bytes read=323660
08/10/27 15:35:16 INFO mapred.JobClient: HDFS bytes written=1447
08/10/27 15:35:16 INFO mapred.JobClient: Local bytes read=1389
08/10/27 15:35:16 INFO mapred.JobClient: Local bytes written=37878
08/10/27 15:35:16 INFO mapred.JobClient: Job Counters
08/10/27 15:35:16 INFO mapred.JobClient: Launched reduce tasks=1
08/10/27 15:35:16 INFO mapred.JobClient: Launched map tasks=2
08/10/27 15:35:16 INFO mapred.JobClient: Data-local map tasks=2
08/10/27 15:35:16 INFO mapred.JobClient: Map-Reduce Framework
08/10/27 15:35:16 INFO mapred.JobClient: Reduce input groups=1
08/10/27 15:35:16 INFO mapred.JobClient: Combine output records=29
08/10/27 15:35:16 INFO mapred.JobClient: Map input records=600
08/10/27 15:35:16 INFO mapred.JobClient: Reduce output records=1
08/10/27 15:35:16 INFO mapred.JobClient: Map output bytes=943020
08/10/27 15:35:16 INFO mapred.JobClient: Map input bytes=323660
08/10/27 15:35:16 INFO mapred.JobClient: Combine input records=1760
08/10/27 15:35:16 INFO mapred.JobClient: Map output records=1732
08/10/27 15:35:16 INFO mapred.JobClient: Reduce input records=1
08/10/27 15:35:16 WARN mapred.JobClient: Use GenericOptionsParser for
parsing the arguments. Applications should implement Tool for the same.
08/10/27 15:35:16 INFO mapred.FileInputFormat: Total input paths to process
: 2
08/10/27 15:35:16 INFO mapred.FileInputFormat: Total input paths to process
: 2
08/10/27 15:35:16 INFO mapred.JobClient: Running job: job_200810271532_0003
08/10/27 15:35:17 INFO mapred.JobClient: map 0% reduce 0%
08/10/27 15:35:24 INFO mapred.JobClient: map 100% reduce 0%
08/10/27 15:35:28 INFO mapred.JobClient: Job complete: job_200810271532_0003
08/10/27 15:35:28 INFO mapred.JobClient: Counters: 16
08/10/27 15:35:28 INFO mapred.JobClient: File Systems
08/10/27 15:35:28 INFO mapred.JobClient: HDFS bytes read=326554
08/10/27 15:35:28 INFO mapred.JobClient: HDFS bytes written=1137260
08/10/27 15:35:28 INFO mapred.JobClient: Local bytes read=1147358
08/10/27 15:35:28 INFO mapred.JobClient: Local bytes written=2304490
08/10/27 15:35:28 INFO mapred.JobClient: Job Counters
08/10/27 15:35:28 INFO mapred.JobClient: Launched reduce tasks=1
08/10/27 15:35:28 INFO mapred.JobClient: Launched map tasks=2
08/10/27 15:35:28 INFO mapred.JobClient: Data-local map tasks=2
08/10/27 15:35:28 INFO mapred.JobClient: Map-Reduce Framework
08/10/27 15:35:28 INFO mapred.JobClient: Reduce input groups=1
08/10/27 15:35:28 INFO mapred.JobClient: Combine output records=0
08/10/27 15:35:28 INFO mapred.JobClient: Map input records=600
08/10/27 15:35:28 INFO mapred.JobClient: Reduce output records=600
08/10/27 15:35:28 INFO mapred.JobClient: Map output bytes=1139660
08/10/27 15:35:28 INFO mapred.JobClient: Map input bytes=323660
08/10/27 15:35:28 INFO mapred.JobClient: Combine input records=0
08/10/27 15:35:28 INFO mapred.JobClient: Map output records=600
08/10/27 15:35:28 INFO mapred.JobClient: Reduce input records=600
08/10/27 15:35:28 INFO kmeans.KMeansDriver: Iteration 0
08/10/27 15:35:29 WARN mapred.JobClient: Use GenericOptionsParser for
parsing the arguments. Applications should implement Tool for the same.
08/10/27 15:35:29 INFO mapred.FileInputFormat: Total input paths to process
: 2
08/10/27 15:35:29 INFO mapred.FileInputFormat: Total input paths to process
: 2
08/10/27 15:35:29 INFO mapred.JobClient: Running job: job_200810271532_0004
08/10/27 15:35:30 INFO mapred.JobClient: map 0% reduce 0%
08/10/27 15:35:37 INFO mapred.JobClient: map 100% reduce 0%
08/10/27 15:35:45 INFO mapred.JobClient: Task Id :
attempt_200810271532_0004_r_000000_0, Status : FAILED
java.io.IOException: attempt_200810271532_0004_r_000000_0The reduce copier
failed
at org.apache.hadoop.mapred.ReduceTask.run(ReduceTask.java:255)
at
org.apache.hadoop.mapred.TaskTracker$Child.main(TaskTracker.java:2207)
The failed attempts logs contain this:
008-10-27 15:35:40,133 INFO org.apache.hadoop.mapred.ReduceTask:
Shuffling 2524 bytes (2524 raw bytes) into RAM from
attempt_200810271532_0004_m_000000_0
2008-10-27 15:35:40,134 INFO org.apache.hadoop.mapred.ReduceTask: Read
2524 bytes from map-output for attempt_200810271532_0004_m_000000_0
2008-10-27 15:35:40,134 INFO org.apache.hadoop.mapred.ReduceTask: Rec
#1 from attempt_200810271532_0004_m_000000_0 -> (1358, 1158) from phil
2008-10-27 15:35:41,110 INFO org.apache.hadoop.mapred.ReduceTask:
Closed ram manager
2008-10-27 15:35:41,125 INFO org.apache.hadoop.mapred.ReduceTask:
Interleaved on-disk merge complete: 0 files left.
2008-10-27 15:35:41,173 INFO org.apache.hadoop.mapred.ReduceTask:
Initiating in-memory merge with 2 segments...
2008-10-27 15:35:41,177 INFO org.apache.hadoop.mapred.Merger: Merging
2 sorted segments
2008-10-27 15:35:41,178 INFO org.apache.hadoop.mapred.Merger: Down to
the last merge-pass, with 2 segments left of total size: 5011 bytes
2008-10-27 15:35:41,197 WARN org.apache.hadoop.mapred.ReduceTask:
attempt_200810271532_0004_r_000000_0 Merge of the inmemory files threw
an exception: java.io.IOException: Intermedate merge failed
at
org.apache.hadoop.mapred.ReduceTask$ReduceCopier$InMemFSMergeThread.doInMemMerge(ReduceTask.java:2147)
at
org.apache.hadoop.mapred.ReduceTask$ReduceCopier$InMemFSMergeThread.run(ReduceTask.java:2078)
Caused by: java.lang.NumberFormatException: For input string: "["
at
sun.misc.FloatingDecimal.readJavaFormatString(FloatingDecimal.java:1224)
at java.lang.Double.parseDouble(Double.java:510)
at
org.apache.mahout.matrix.DenseVector.decodeFormat(DenseVector.java:60)
at
org.apache.mahout.matrix.AbstractVector.decodeVector(AbstractVector.java:256)
at
org.apache.mahout.clustering.kmeans.KMeansCombiner.reduce(KMeansCombiner.java:38)
at
org.apache.mahout.clustering.kmeans.KMeansCombiner.reduce(KMeansCombiner.java:31)
at
org.apache.hadoop.mapred.ReduceTask$ReduceCopier.combineAndSpill(ReduceTask.java:2174)
at
org.apache.hadoop.mapred.ReduceTask$ReduceCopier.access$3100(ReduceTask.java:341)
at
org.apache.hadoop.mapred.ReduceTask$ReduceCopier$InMemFSMergeThread.doInMemMerge(ReduceTask.java:2134)
... 1 more
2008-10-27 15:35:41,197 INFO org.apache.hadoop.mapred.ReduceTask:
In-memory merge complete: 0 files left.
2008-10-27 15:35:41,198 WARN org.apache.hadoop.mapred.TaskTracker:
Error running child
java.io.IOException: attempt_200810271532_0004_r_000000_0The reduce
copier failed
at org.apache.hadoop.mapred.ReduceTask.run(ReduceTask.java:255)
at
org.apache.hadoop.mapred.TaskTracker$Child.main(TaskTracker.java:2207)
However, I can run the org.apache.mahout.clustering.kmeans unit tests
without problems.
I truly do not understand where the problems lies.
Thanks for the help.
On Sun, Oct 26, 2008 at 8:24 PM, Grant Ingersoll <[EMAIL PROTECTED]>wrote:
> Same Mahout code, though, right?
>
> Can you provide details on how you were running it?
>
>
> On Oct 26, 2008, at 10:46 AM, Philippe Lamarche wrote:
>
> Unfortunately, I went straight from 0.17.2 to 0.18.1. It was working on
>> 0.17.2.
>>
>>
>>
>> On Sun, Oct 26, 2008 at 9:48 AM, Grant Ingersoll <[EMAIL PROTECTED]
>> >wrote:
>>
>> Did this work with 0.18.0 or other prior versions for you?
>>>
>>>
>>>
>>> On Oct 25, 2008, at 7:23 PM, Philippe Lamarche wrote:
>>>
>>> Hi,
>>>
>>>>
>>>> I just updated to hadoop 0.18.1 and got a clean version of mahout from
>>>> svn.
>>>> However, I am having problems with KMeans, that can be traced down to :
>>>>
>>>> 2008-10-25 19:10:16,987 INFO org.apache.hadoop.mapred.Merger: Merging
>>>> 2 sorted segments
>>>> 2008-10-25 19:10:16,987 INFO org.apache.hadoop.mapred.Merger: Down to
>>>> the last merge-pass, with 2 segments left of total size: 5011 bytes
>>>> 2008-10-25 19:10:16,999 WARN org.apache.hadoop.mapred.ReduceTask:
>>>> attempt_200810251826_0013_r_000000_0 Merge of the inmemory files threw
>>>> an exception: java.io.IOException: Intermedate merge failed
>>>> at
>>>>
>>>> org.apache.hadoop.mapred.ReduceTask$ReduceCopier$InMemFSMergeThread.doInMemMerge(ReduceTask.java:2147)
>>>> at
>>>>
>>>> org.apache.hadoop.mapred.ReduceTask$ReduceCopier$InMemFSMergeThread.run(ReduceTask.java:2078)
>>>> Caused by: java.lang.NumberFormatException: For input string: "["
>>>> at
>>>> sun.misc.FloatingDecimal.readJavaFormatString(FloatingDecimal.java:1224)
>>>> at java.lang.Double.parseDouble(Double.java:510)
>>>> at
>>>> org.apache.mahout.matrix.DenseVector.decodeFormat(DenseVector.java:60)
>>>> at
>>>>
>>>> org.apache.mahout.matrix.AbstractVector.decodeVector(AbstractVector.java:256)
>>>> at
>>>>
>>>> org.apache.mahout.clustering.kmeans.KMeansCombiner.reduce(KMeansCombiner.java:38)
>>>> at
>>>>
>>>> org.apache.mahout.clustering.kmeans.KMeansCombiner.reduce(KMeansCombiner.java:31)
>>>> at
>>>>
>>>> org.apache.hadoop.mapred.ReduceTask$ReduceCopier.combineAndSpill(ReduceTask.java:2174)
>>>> at
>>>>
>>>> org.apache.hadoop.mapred.ReduceTask$ReduceCopier.access$3100(ReduceTask.java:341)
>>>> at
>>>>
>>>> org.apache.hadoop.mapred.ReduceTask$ReduceCopier$InMemFSMergeThread.doInMemMerge(ReduceTask.java:2134)
>>>> ... 1 more
>>>>
>>>> 2008-10-25 19:10:16,999 INFO org.apache.hadoop.mapred.ReduceTask:
>>>> In-memory merge complete: 0 files left.
>>>> 2008-10-25 19:10:17,000 WARN org.apache.hadoop.mapred.TaskTracker:
>>>> Error running child
>>>> java.io.IOException: attempt_200810251826_0013_r_000000_0The reduce
>>>> copier failed
>>>> at org.apache.hadoop.mapred.ReduceTask.run(ReduceTask.java:255)
>>>> at
>>>> org.apache.hadoop.mapred.TaskTracker$Child.main(TaskTracker.java:2207)
>>>>
>>>>
>>>> This is while running the synthetic_control.data example, but I have the
>>>> same problems with any other input data.
>>>>
>>>> I am able to do other map-reduce job without problems.
>>>>
>>>> Here is the output of the jar task:
>>>>
>>>> [EMAIL PROTECTED]:/usr/local/hadoop$ bin/hadoop jar
>>>>
>>>>
>>>> /home/philippe/workspace/MahoutJava/examples/dist/apache-mahout-examples-0.1-dev.jar
>>>> org.apache.mahout.clustering.syntheticcontrol.kmeans.Job
>>>> 08/10/25 19:09:27 WARN mapred.JobClient: Use GenericOptionsParser for
>>>> parsing the arguments. Applications should implement Tool for the same.
>>>> 08/10/25 19:09:28 INFO mapred.FileInputFormat: Total input paths to
>>>> process
>>>> : 1
>>>> 08/10/25 19:09:28 INFO mapred.FileInputFormat: Total input paths to
>>>> process
>>>> : 1
>>>> 08/10/25 19:09:28 INFO mapred.JobClient: Running job:
>>>> job_200810251826_0010
>>>> 08/10/25 19:09:29 INFO mapred.JobClient: map 0% reduce 0%
>>>> 08/10/25 19:09:31 INFO mapred.JobClient: map 50% reduce 0%
>>>> 08/10/25 19:09:32 INFO mapred.JobClient: Job complete:
>>>> job_200810251826_0010
>>>> 08/10/25 19:09:32 INFO mapred.JobClient: Counters: 7
>>>> 08/10/25 19:09:32 INFO mapred.JobClient: File Systems
>>>> 08/10/25 19:09:32 INFO mapred.JobClient: HDFS bytes read=291644
>>>> 08/10/25 19:09:32 INFO mapred.JobClient: HDFS bytes written=323660
>>>> 08/10/25 19:09:32 INFO mapred.JobClient: Job Counters
>>>> 08/10/25 19:09:32 INFO mapred.JobClient: Launched map tasks=2
>>>> 08/10/25 19:09:32 INFO mapred.JobClient: Data-local map tasks=2
>>>> 08/10/25 19:09:32 INFO mapred.JobClient: Map-Reduce Framework
>>>> 08/10/25 19:09:32 INFO mapred.JobClient: Map input records=600
>>>> 08/10/25 19:09:32 INFO mapred.JobClient: Map input bytes=288374
>>>> 08/10/25 19:09:32 INFO mapred.JobClient: Map output records=600
>>>> 08/10/25 19:09:32 WARN mapred.JobClient: Use GenericOptionsParser for
>>>> parsing the arguments. Applications should implement Tool for the same.
>>>> 08/10/25 19:09:32 INFO mapred.FileInputFormat: Total input paths to
>>>> process
>>>> : 2
>>>> 08/10/25 19:09:32 INFO mapred.FileInputFormat: Total input paths to
>>>> process
>>>> : 2
>>>> 08/10/25 19:09:32 INFO mapred.JobClient: Running job:
>>>> job_200810251826_0011
>>>> 08/10/25 19:09:33 INFO mapred.JobClient: map 0% reduce 0%
>>>> 08/10/25 19:09:37 INFO mapred.JobClient: map 50% reduce 0%
>>>> 08/10/25 19:09:39 INFO mapred.JobClient: map 100% reduce 0%
>>>> 08/10/25 19:09:44 INFO mapred.JobClient: map 100% reduce 16%
>>>> 08/10/25 19:09:52 INFO mapred.JobClient: Job complete:
>>>> job_200810251826_0011
>>>> 08/10/25 19:09:52 INFO mapred.JobClient: Counters: 16
>>>> 08/10/25 19:09:52 INFO mapred.JobClient: File Systems
>>>> 08/10/25 19:09:52 INFO mapred.JobClient: HDFS bytes read=323660
>>>> 08/10/25 19:09:52 INFO mapred.JobClient: HDFS bytes written=1447
>>>> 08/10/25 19:09:52 INFO mapred.JobClient: Local bytes read=1389
>>>> 08/10/25 19:09:52 INFO mapred.JobClient: Local bytes written=37878
>>>> 08/10/25 19:09:52 INFO mapred.JobClient: Job Counters
>>>> 08/10/25 19:09:52 INFO mapred.JobClient: Launched reduce tasks=1
>>>> 08/10/25 19:09:52 INFO mapred.JobClient: Launched map tasks=2
>>>> 08/10/25 19:09:52 INFO mapred.JobClient: Data-local map tasks=2
>>>> 08/10/25 19:09:52 INFO mapred.JobClient: Map-Reduce Framework
>>>> 08/10/25 19:09:52 INFO mapred.JobClient: Reduce input groups=1
>>>> 08/10/25 19:09:52 INFO mapred.JobClient: Combine output records=29
>>>> 08/10/25 19:09:52 INFO mapred.JobClient: Map input records=600
>>>> 08/10/25 19:09:52 INFO mapred.JobClient: Reduce output records=1
>>>> 08/10/25 19:09:52 INFO mapred.JobClient: Map output bytes=943020
>>>> 08/10/25 19:09:52 INFO mapred.JobClient: Map input bytes=323660
>>>> 08/10/25 19:09:52 INFO mapred.JobClient: Combine input records=1760
>>>> 08/10/25 19:09:52 INFO mapred.JobClient: Map output records=1732
>>>> 08/10/25 19:09:52 INFO mapred.JobClient: Reduce input records=1
>>>> 08/10/25 19:09:53 WARN mapred.JobClient: Use GenericOptionsParser for
>>>> parsing the arguments. Applications should implement Tool for the same.
>>>> 08/10/25 19:09:53 INFO mapred.FileInputFormat: Total input paths to
>>>> process
>>>> : 2
>>>> 08/10/25 19:09:53 INFO mapred.FileInputFormat: Total input paths to
>>>> process
>>>> : 2
>>>> 08/10/25 19:09:53 INFO mapred.JobClient: Running job:
>>>> job_200810251826_0012
>>>> 08/10/25 19:09:54 INFO mapred.JobClient: map 0% reduce 0%
>>>> 08/10/25 19:09:56 INFO mapred.JobClient: map 50% reduce 0%
>>>> 08/10/25 19:09:58 INFO mapred.JobClient: map 100% reduce 0%
>>>> 08/10/25 19:10:02 INFO mapred.JobClient: Job complete:
>>>> job_200810251826_0012
>>>> 08/10/25 19:10:02 INFO mapred.JobClient: Counters: 16
>>>> 08/10/25 19:10:02 INFO mapred.JobClient: File Systems
>>>> 08/10/25 19:10:02 INFO mapred.JobClient: HDFS bytes read=326554
>>>> 08/10/25 19:10:02 INFO mapred.JobClient: HDFS bytes written=1137260
>>>> 08/10/25 19:10:02 INFO mapred.JobClient: Local bytes read=1147358
>>>> 08/10/25 19:10:02 INFO mapred.JobClient: Local bytes written=2304490
>>>> 08/10/25 19:10:02 INFO mapred.JobClient: Job Counters
>>>> 08/10/25 19:10:02 INFO mapred.JobClient: Launched reduce tasks=1
>>>> 08/10/25 19:10:02 INFO mapred.JobClient: Launched map tasks=2
>>>> 08/10/25 19:10:02 INFO mapred.JobClient: Data-local map tasks=2
>>>> 08/10/25 19:10:02 INFO mapred.JobClient: Map-Reduce Framework
>>>> 08/10/25 19:10:02 INFO mapred.JobClient: Reduce input groups=1
>>>> 08/10/25 19:10:02 INFO mapred.JobClient: Combine output records=0
>>>> 08/10/25 19:10:02 INFO mapred.JobClient: Map input records=600
>>>> 08/10/25 19:10:02 INFO mapred.JobClient: Reduce output records=600
>>>> 08/10/25 19:10:02 INFO mapred.JobClient: Map output bytes=1139660
>>>> 08/10/25 19:10:02 INFO mapred.JobClient: Map input bytes=323660
>>>> 08/10/25 19:10:02 INFO mapred.JobClient: Combine input records=0
>>>> 08/10/25 19:10:02 INFO mapred.JobClient: Map output records=600
>>>> 08/10/25 19:10:02 INFO mapred.JobClient: Reduce input records=600
>>>> 08/10/25 19:10:02 INFO kmeans.KMeansDriver: Iteration 0
>>>> 08/10/25 19:10:02 WARN mapred.JobClient: Use GenericOptionsParser for
>>>> parsing the arguments. Applications should implement Tool for the same.
>>>> 08/10/25 19:10:02 INFO mapred.FileInputFormat: Total input paths to
>>>> process
>>>> : 2
>>>> 08/10/25 19:10:02 INFO mapred.FileInputFormat: Total input paths to
>>>> process
>>>> : 2
>>>> 08/10/25 19:10:03 INFO mapred.JobClient: Running job:
>>>> job_200810251826_0013
>>>> 08/10/25 19:10:04 INFO mapred.JobClient: map 0% reduce 0%
>>>> 08/10/25 19:10:08 INFO mapred.JobClient: map 50% reduce 0%
>>>> 08/10/25 19:10:09 INFO mapred.JobClient: map 100% reduce 0%
>>>> 08/10/25 19:10:21 INFO mapred.JobClient: Task Id :
>>>> attempt_200810251826_0013_r_000000_0, Status : FAILED
>>>> java.io.IOException: attempt_200810251826_0013_r_000000_0The reduce
>>>> copier
>>>> failed
>>>> at org.apache.hadoop.mapred.ReduceTask.run(ReduceTask.java:255)
>>>> at
>>>> org.apache.hadoop.mapred.TaskTracker$Child.main(TaskTracker.java:2207)
>>>>
>>>>
>>>> I am not sure if I am doing something wrong here.
>>>>
>>>> Thanks for the help,
>>>>
>>>> Philippe.
>>>>
>>>>
>>> --------------------------
>>> Grant Ingersoll
>>> Lucene Boot Camp Training Nov. 3-4, 2008, ApacheCon US New Orleans.
>>> http://www.lucenebootcamp.com
>>>
>>>
>>> Lucene Helpful Hints:
>>> http://wiki.apache.org/lucene-java/BasicsOfPerformance
>>> http://wiki.apache.org/lucene-java/LuceneFAQ
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>>
> --------------------------
> Grant Ingersoll
> Lucene Boot Camp Training Nov. 3-4, 2008, ApacheCon US New Orleans.
> http://www.lucenebootcamp.com
>
>
> Lucene Helpful Hints:
> http://wiki.apache.org/lucene-java/BasicsOfPerformance
> http://wiki.apache.org/lucene-java/LuceneFAQ
>
>
>
>
>
>
>
>
>
>
