FAQ
Hi folks

A while back we upgraded our Hadoop cluster from 0.15 to 0.18.0, and I
found that Mahout Kmeans quit working. I finally tracked it down to
the fact that the semantics of the combiner changed between 0.16,
0.17, and 0.18 from run exactly once to run zero or more times (which
is in line with how Map/Reduce was originally specified). See:
https://issues.apache.org/jira/browse/HADOOP-3586.

The Kmeans combiner depended on running exactly once, but on our new
cluster it was running multiple times, causing hard-to-discern errors.
Basically, the second time through the Combiner, it would throw an
exception that the formatting of the vector (serialized into a Text)
was failing. In the end, I had to make some formatting changes to the
data output by the Mapper and the Combiner to match what the Reducer
expects, as well as changes to the Combiner input to . I ended up
having to hack the Mapper to output vectors that either the Combiner
or Reducer could take as input, and make the Combiner take in the same
input that it outputs and to calculate convergence at each step.

My apologies if this has already been covered and put to rest - I just
happened upon this thread this afternoon.

-steve

On Sun, Nov 2, 2008 at 10:29 AM, Philippe Lamarche
wrote:
Hi there,
It also works on 0.19.0-dev, that is on hadoop/branches/branch-0.19.

I intend in the next few day to try to find out what exactly is the problem
to make sure that it won't come back in a few revisions.

Thanks!
On Thu, Oct 30, 2008 at 9:20 AM, Grant Ingersoll wrote:

Hmm, I believe that patch has been applied in 18.2 (whatever that is) but
it also looks like it has been applied to 0.17.3 branch as well. So, it
might be something else that "fixed" it.

At any rate, glad to hear it works on trunk.


On Oct 29, 2008, at 6:38 PM, Philippe Lamarche wrote:

I am not sure I understand the hadoop svn structure, however I was able to
make it work with hadoop trunk, or 0.20.0-dev.
It didn't work with hadoop/branch-0.18, with or without patch 4277.


Here is a copy-paste of the steps, once Hadoop is built and installed. I
am
using the same exact "apache-mahout-examples-0.1-dev.job", not rebuilt
with
the 0.20.0-dev jars.

It works!

That would mean that the bug/feature is not related to
HADOOP-4277<http://issues.apache.org/jira/browse/HADOOP-4277>,

and was reintroduced (or never took away) in hadoop/trunk.


hadoop@phil:/usr/local/hadoop$ bin/hadoop namenode -format
08/10/29 18:27:59 INFO namenode.NameNode: STARTUP_MSG:
/************************************************************
STARTUP_MSG: Starting NameNode
STARTUP_MSG: host = phil/127.0.1.1
STARTUP_MSG: args = [-format]
STARTUP_MSG: version = 0.20.0-dev
STARTUP_MSG: build = -r ; compiled by 'philippe' on Wed Oct 29 18:25:08
EDT 2008
************************************************************/
08/10/29 18:28:00 INFO namenode.FSNamesystem: fsOwner=hadoop,hadoop
08/10/29 18:28:00 INFO namenode.FSNamesystem: supergroup=supergroup
08/10/29 18:28:00 INFO namenode.FSNamesystem: isPermissionEnabled=true
08/10/29 18:28:00 INFO common.Storage: Image file of size 96 saved in 0
seconds.
08/10/29 18:28:00 INFO common.Storage: Storage directory
/usr/local/hadoop-datastore/hadoop-hadoop/dfs/name has been successfully
formatted.
08/10/29 18:28:00 INFO namenode.NameNode: SHUTDOWN_MSG:
/************************************************************
SHUTDOWN_MSG: Shutting down NameNode at phil/127.0.1.1
************************************************************/

hadoop@phil:/usr/local/hadoop$ bin/hadoop dfs -put
/home/philippe/synthetic_control.data testdata

hadoop@phil:/usr/local/hadoop$ bin/hadoop jar

/home/philippe/workspace/MahoutJava/examples/build/apache-mahout-examples-0.1-dev.job
org.apache.mahout.clustering.syntheticcontrol.kmeans.Job
08/10/29 18:28:45 WARN mapred.JobClient: Use GenericOptionsParser for
parsing the arguments. Applications should implement Tool for the same.
08/10/29 18:28:46 INFO mapred.FileInputFormat: Total input paths to
process
: 1
08/10/29 18:28:47 INFO mapred.JobClient: Running job:
job_200810291828_0002
08/10/29 18:28:48 INFO mapred.JobClient: map 0% reduce 0%
08/10/29 18:28:54 INFO mapred.JobClient: map 50% reduce 0%
08/10/29 18:28:55 INFO mapred.JobClient: map 100% reduce 0%
08/10/29 18:28:56 INFO mapred.JobClient: Job complete:
job_200810291828_0002
08/10/29 18:28:56 INFO mapred.JobClient: Counters: 7
08/10/29 18:28:56 INFO mapred.JobClient: File Systems
08/10/29 18:28:56 INFO mapred.JobClient: HDFS bytes read=291644
08/10/29 18:28:56 INFO mapred.JobClient: HDFS bytes written=323660
08/10/29 18:28:56 INFO mapred.JobClient: Job Counters
08/10/29 18:28:56 INFO mapred.JobClient: Launched map tasks=2
08/10/29 18:28:56 INFO mapred.JobClient: Data-local map tasks=2
08/10/29 18:28:56 INFO mapred.JobClient: Map-Reduce Framework
08/10/29 18:28:56 INFO mapred.JobClient: Map input records=600
08/10/29 18:28:56 INFO mapred.JobClient: Map input bytes=288374
08/10/29 18:28:56 INFO mapred.JobClient: Map output records=600
08/10/29 18:28:56 WARN mapred.JobClient: Use GenericOptionsParser for
parsing the arguments. Applications should implement Tool for the same.
08/10/29 18:28:56 INFO mapred.FileInputFormat: Total input paths to
process
: 2
08/10/29 18:28:56 INFO mapred.JobClient: Running job:
job_200810291828_0003
08/10/29 18:28:57 INFO mapred.JobClient: map 0% reduce 0%
08/10/29 18:29:03 INFO mapred.JobClient: map 50% reduce 0%
08/10/29 18:29:05 INFO mapred.JobClient: map 100% reduce 0%
08/10/29 18:29:10 INFO mapred.JobClient: map 100% reduce 100%
08/10/29 18:29:11 INFO mapred.JobClient: Job complete:
job_200810291828_0003
08/10/29 18:29:11 INFO mapred.JobClient: Counters: 16
08/10/29 18:29:11 INFO mapred.JobClient: File Systems
08/10/29 18:29:11 INFO mapred.JobClient: HDFS bytes read=323660
08/10/29 18:29:11 INFO mapred.JobClient: HDFS bytes written=9657
08/10/29 18:29:11 INFO mapred.JobClient: Local bytes read=36119
08/10/29 18:29:11 INFO mapred.JobClient: Local bytes written=72300
08/10/29 18:29:11 INFO mapred.JobClient: Job Counters
08/10/29 18:29:11 INFO mapred.JobClient: Launched reduce tasks=1
08/10/29 18:29:11 INFO mapred.JobClient: Launched map tasks=2
08/10/29 18:29:11 INFO mapred.JobClient: Data-local map tasks=2
08/10/29 18:29:11 INFO mapred.JobClient: Map-Reduce Framework
08/10/29 18:29:11 INFO mapred.JobClient: Reduce input groups=1
08/10/29 18:29:11 INFO mapred.JobClient: Combine output records=28
08/10/29 18:29:11 INFO mapred.JobClient: Map input records=600
08/10/29 18:29:11 INFO mapred.JobClient: Reduce output records=7
08/10/29 18:29:11 INFO mapred.JobClient: Map output bytes=943020
08/10/29 18:29:11 INFO mapred.JobClient: Map input bytes=323660
08/10/29 18:29:11 INFO mapred.JobClient: Combine input records=1732
08/10/29 18:29:11 INFO mapred.JobClient: Map output records=1732
08/10/29 18:29:11 INFO mapred.JobClient: Reduce input records=28
08/10/29 18:29:11 WARN mapred.JobClient: Use GenericOptionsParser for
parsing the arguments. Applications should implement Tool for the same.
08/10/29 18:29:11 INFO mapred.FileInputFormat: Total input paths to
process
: 2
08/10/29 18:29:12 INFO mapred.JobClient: Running job:
job_200810291828_0004
08/10/29 18:29:13 INFO mapred.JobClient: map 0% reduce 0%
08/10/29 18:29:20 INFO mapred.JobClient: map 50% reduce 0%
08/10/29 18:29:22 INFO mapred.JobClient: map 100% reduce 0%
08/10/29 18:29:27 INFO mapred.JobClient: map 100% reduce 100%
08/10/29 18:29:28 INFO mapred.JobClient: Job complete:
job_200810291828_0004
08/10/29 18:29:28 INFO mapred.JobClient: Counters: 16
08/10/29 18:29:28 INFO mapred.JobClient: File Systems
08/10/29 18:29:28 INFO mapred.JobClient: HDFS bytes read=342974
08/10/29 18:29:28 INFO mapred.JobClient: HDFS bytes written=3002539
08/10/29 18:29:28 INFO mapred.JobClient: Local bytes read=3018455
08/10/29 18:29:28 INFO mapred.JobClient: Local bytes written=6036972
08/10/29 18:29:28 INFO mapred.JobClient: Job Counters
08/10/29 18:29:28 INFO mapred.JobClient: Launched reduce tasks=1
08/10/29 18:29:28 INFO mapred.JobClient: Launched map tasks=2
08/10/29 18:29:28 INFO mapred.JobClient: Data-local map tasks=2
08/10/29 18:29:28 INFO mapred.JobClient: Map-Reduce Framework
08/10/29 18:29:28 INFO mapred.JobClient: Reduce input groups=7
08/10/29 18:29:28 INFO mapred.JobClient: Combine output records=0
08/10/29 18:29:28 INFO mapred.JobClient: Map input records=600
08/10/29 18:29:28 INFO mapred.JobClient: Reduce output records=1591
08/10/29 18:29:28 INFO mapred.JobClient: Map output bytes=3008903
08/10/29 18:29:28 INFO mapred.JobClient: Map input bytes=323660
08/10/29 18:29:28 INFO mapred.JobClient: Combine input records=0
08/10/29 18:29:28 INFO mapred.JobClient: Map output records=1591
08/10/29 18:29:28 INFO mapred.JobClient: Reduce input records=1591
08/10/29 18:29:28 INFO kmeans.KMeansDriver: Iteration 0
08/10/29 18:29:28 WARN mapred.JobClient: Use GenericOptionsParser for
parsing the arguments. Applications should implement Tool for the same.
08/10/29 18:29:28 INFO mapred.FileInputFormat: Total input paths to
process
: 2
08/10/29 18:29:28 INFO mapred.JobClient: Running job:
job_200810291828_0005
08/10/29 18:29:29 INFO mapred.JobClient: map 0% reduce 0%
08/10/29 18:29:35 INFO mapred.JobClient: map 50% reduce 0%
08/10/29 18:29:37 INFO mapred.JobClient: map 100% reduce 0%
08/10/29 18:29:41 INFO mapred.JobClient: Job complete:
job_200810291828_0005
08/10/29 18:29:41 INFO mapred.JobClient: Counters: 16
08/10/29 18:29:41 INFO mapred.JobClient: File Systems
08/10/29 18:29:41 INFO mapred.JobClient: HDFS bytes read=342974
08/10/29 18:29:41 INFO mapred.JobClient: HDFS bytes written=8205
08/10/29 18:29:41 INFO mapred.JobClient: Local bytes read=23227
08/10/29 18:29:41 INFO mapred.JobClient: Local bytes written=46516
08/10/29 18:29:41 INFO mapred.JobClient: Job Counters
08/10/29 18:29:41 INFO mapred.JobClient: Launched reduce tasks=1
08/10/29 18:29:41 INFO mapred.JobClient: Launched map tasks=2
08/10/29 18:29:41 INFO mapred.JobClient: Data-local map tasks=2
08/10/29 18:29:41 INFO mapred.JobClient: Map-Reduce Framework
08/10/29 18:29:41 INFO mapred.JobClient: Reduce input groups=7
08/10/29 18:29:41 INFO mapred.JobClient: Combine output records=10
08/10/29 18:29:41 INFO mapred.JobClient: Map input records=600
08/10/29 18:29:41 INFO mapred.JobClient: Reduce output records=7
08/10/29 18:29:41 INFO mapred.JobClient: Map output bytes=1136504
08/10/29 18:29:41 INFO mapred.JobClient: Map input bytes=323660
08/10/29 18:29:41 INFO mapred.JobClient: Combine input records=600
08/10/29 18:29:41 INFO mapred.JobClient: Map output records=600
08/10/29 18:29:41 INFO mapred.JobClient: Reduce input records=10
08/10/29 18:29:41 INFO kmeans.KMeansDriver: Iteration 1
08/10/29 18:29:41 WARN mapred.JobClient: Use GenericOptionsParser for
parsing the arguments. Applications should implement Tool for the same.
08/10/29 18:29:41 INFO mapred.FileInputFormat: Total input paths to
process
: 2
08/10/29 18:29:42 INFO mapred.JobClient: Running job:
job_200810291828_0006
08/10/29 18:29:43 INFO mapred.JobClient: map 0% reduce 0%
08/10/29 18:29:50 INFO mapred.JobClient: map 50% reduce 0%
08/10/29 18:29:51 INFO mapred.JobClient: map 100% reduce 0%
08/10/29 18:29:55 INFO mapred.JobClient: map 100% reduce 100%
08/10/29 18:29:56 INFO mapred.JobClient: Job complete:
job_200810291828_0006
08/10/29 18:29:56 INFO mapred.JobClient: Counters: 16
08/10/29 18:29:56 INFO mapred.JobClient: File Systems
08/10/29 18:29:56 INFO mapred.JobClient: HDFS bytes read=340070
08/10/29 18:29:56 INFO mapred.JobClient: HDFS bytes written=8242
08/10/29 18:29:56 INFO mapred.JobClient: Local bytes read=21265
08/10/29 18:29:56 INFO mapred.JobClient: Local bytes written=42592
08/10/29 18:29:56 INFO mapred.JobClient: Job Counters
08/10/29 18:29:56 INFO mapred.JobClient: Launched reduce tasks=1
08/10/29 18:29:56 INFO mapred.JobClient: Launched map tasks=2
08/10/29 18:29:56 INFO mapred.JobClient: Data-local map tasks=2
08/10/29 18:29:56 INFO mapred.JobClient: Map-Reduce Framework
08/10/29 18:29:56 INFO mapred.JobClient: Reduce input groups=7
08/10/29 18:29:56 INFO mapred.JobClient: Combine output records=10
08/10/29 18:29:56 INFO mapred.JobClient: Map input records=600
08/10/29 18:29:56 INFO mapred.JobClient: Reduce output records=7
08/10/29 18:29:56 INFO mapred.JobClient: Map output bytes=1023966
08/10/29 18:29:56 INFO mapred.JobClient: Map input bytes=323660
08/10/29 18:29:56 INFO mapred.JobClient: Combine input records=600
08/10/29 18:29:56 INFO mapred.JobClient: Map output records=600
08/10/29 18:29:56 INFO mapred.JobClient: Reduce input records=10
08/10/29 18:29:56 INFO kmeans.KMeansDriver: Iteration 2
08/10/29 18:29:56 WARN mapred.JobClient: Use GenericOptionsParser for
parsing the arguments. Applications should implement Tool for the same.
08/10/29 18:29:56 INFO mapred.FileInputFormat: Total input paths to
process
: 2
08/10/29 18:29:56 INFO mapred.JobClient: Running job:
job_200810291828_0007
08/10/29 18:29:57 INFO mapred.JobClient: map 0% reduce 0%
08/10/29 18:30:03 INFO mapred.JobClient: map 50% reduce 0%
08/10/29 18:30:05 INFO mapred.JobClient: map 100% reduce 0%
08/10/29 18:30:09 INFO mapred.JobClient: Job complete:
job_200810291828_0007
08/10/29 18:30:09 INFO mapred.JobClient: Counters: 16
08/10/29 18:30:09 INFO mapred.JobClient: File Systems
08/10/29 18:30:09 INFO mapred.JobClient: HDFS bytes read=340144
08/10/29 18:30:09 INFO mapred.JobClient: HDFS bytes written=8280
08/10/29 18:30:09 INFO mapred.JobClient: Local bytes read=21085
08/10/29 18:30:09 INFO mapred.JobClient: Local bytes written=42232
08/10/29 18:30:09 INFO mapred.JobClient: Job Counters
08/10/29 18:30:09 INFO mapred.JobClient: Launched reduce tasks=1
08/10/29 18:30:09 INFO mapred.JobClient: Launched map tasks=2
08/10/29 18:30:09 INFO mapred.JobClient: Data-local map tasks=2
08/10/29 18:30:09 INFO mapred.JobClient: Map-Reduce Framework
08/10/29 18:30:09 INFO mapred.JobClient: Reduce input groups=7
08/10/29 18:30:09 INFO mapred.JobClient: Combine output records=10
08/10/29 18:30:09 INFO mapred.JobClient: Map input records=600
08/10/29 18:30:09 INFO mapred.JobClient: Reduce output records=7
08/10/29 18:30:09 INFO mapred.JobClient: Map output bytes=1023681
08/10/29 18:30:09 INFO mapred.JobClient: Map input bytes=323660
08/10/29 18:30:09 INFO mapred.JobClient: Combine input records=600
08/10/29 18:30:09 INFO mapred.JobClient: Map output records=600
08/10/29 18:30:09 INFO mapred.JobClient: Reduce input records=10
08/10/29 18:30:09 INFO kmeans.KMeansDriver: Iteration 3
08/10/29 18:30:09 WARN mapred.JobClient: Use GenericOptionsParser for
parsing the arguments. Applications should implement Tool for the same.
08/10/29 18:30:09 INFO mapred.FileInputFormat: Total input paths to
process
: 2
08/10/29 18:30:09 INFO mapred.JobClient: Running job:
job_200810291828_0008
08/10/29 18:30:10 INFO mapred.JobClient: map 0% reduce 0%
08/10/29 18:30:17 INFO mapred.JobClient: map 50% reduce 0%
08/10/29 18:30:18 INFO mapred.JobClient: map 100% reduce 0%
08/10/29 18:30:22 INFO mapred.JobClient: map 100% reduce 100%
08/10/29 18:30:23 INFO mapred.JobClient: Job complete:
job_200810291828_0008
08/10/29 18:30:23 INFO mapred.JobClient: Counters: 16
08/10/29 18:30:23 INFO mapred.JobClient: File Systems
08/10/29 18:30:23 INFO mapred.JobClient: HDFS bytes read=340220
08/10/29 18:30:23 INFO mapred.JobClient: HDFS bytes written=8250
08/10/29 18:30:23 INFO mapred.JobClient: Local bytes read=21339
08/10/29 18:30:23 INFO mapred.JobClient: Local bytes written=42740
08/10/29 18:30:23 INFO mapred.JobClient: Job Counters
08/10/29 18:30:23 INFO mapred.JobClient: Launched reduce tasks=1
08/10/29 18:30:23 INFO mapred.JobClient: Launched map tasks=2
08/10/29 18:30:23 INFO mapred.JobClient: Data-local map tasks=2
08/10/29 18:30:23 INFO mapred.JobClient: Map-Reduce Framework
08/10/29 18:30:23 INFO mapred.JobClient: Reduce input groups=7
08/10/29 18:30:23 INFO mapred.JobClient: Combine output records=10
08/10/29 18:30:23 INFO mapred.JobClient: Map input records=600
08/10/29 18:30:23 INFO mapred.JobClient: Reduce output records=7
08/10/29 18:30:23 INFO mapred.JobClient: Map output bytes=1028419
08/10/29 18:30:23 INFO mapred.JobClient: Map input bytes=323660
08/10/29 18:30:23 INFO mapred.JobClient: Combine input records=600
08/10/29 18:30:23 INFO mapred.JobClient: Map output records=600
08/10/29 18:30:23 INFO mapred.JobClient: Reduce input records=10
08/10/29 18:30:23 INFO kmeans.KMeansDriver: Iteration 4
08/10/29 18:30:23 WARN mapred.JobClient: Use GenericOptionsParser for
parsing the arguments. Applications should implement Tool for the same.
08/10/29 18:30:23 INFO mapred.FileInputFormat: Total input paths to
process
: 2
08/10/29 18:30:24 INFO mapred.JobClient: Running job:
job_200810291828_0009
08/10/29 18:30:25 INFO mapred.JobClient: map 0% reduce 0%
08/10/29 18:30:31 INFO mapred.JobClient: map 50% reduce 0%
08/10/29 18:30:33 INFO mapred.JobClient: map 100% reduce 0%
08/10/29 18:30:37 INFO mapred.JobClient: map 100% reduce 100%
08/10/29 18:30:38 INFO mapred.JobClient: Job complete:
job_200810291828_0009
08/10/29 18:30:38 INFO mapred.JobClient: Counters: 16
08/10/29 18:30:38 INFO mapred.JobClient: File Systems
08/10/29 18:30:38 INFO mapred.JobClient: HDFS bytes read=340160
08/10/29 18:30:38 INFO mapred.JobClient: HDFS bytes written=8200
08/10/29 18:30:38 INFO mapred.JobClient: Local bytes read=21219
08/10/29 18:30:38 INFO mapred.JobClient: Local bytes written=42500
08/10/29 18:30:38 INFO mapred.JobClient: Job Counters
08/10/29 18:30:38 INFO mapred.JobClient: Launched reduce tasks=1
08/10/29 18:30:38 INFO mapred.JobClient: Launched map tasks=2
08/10/29 18:30:38 INFO mapred.JobClient: Data-local map tasks=2
08/10/29 18:30:38 INFO mapred.JobClient: Map-Reduce Framework
08/10/29 18:30:38 INFO mapred.JobClient: Reduce input groups=7
08/10/29 18:30:38 INFO mapred.JobClient: Combine output records=10
08/10/29 18:30:38 INFO mapred.JobClient: Map input records=600
08/10/29 18:30:38 INFO mapred.JobClient: Reduce output records=7
08/10/29 18:30:38 INFO mapred.JobClient: Map output bytes=1024899
08/10/29 18:30:38 INFO mapred.JobClient: Map input bytes=323660
08/10/29 18:30:38 INFO mapred.JobClient: Combine input records=600
08/10/29 18:30:38 INFO mapred.JobClient: Map output records=600
08/10/29 18:30:38 INFO mapred.JobClient: Reduce input records=10
08/10/29 18:30:38 INFO kmeans.KMeansDriver: Clustering
08/10/29 18:30:38 WARN mapred.JobClient: Use GenericOptionsParser for
parsing the arguments. Applications should implement Tool for the same.
08/10/29 18:30:38 INFO mapred.FileInputFormat: Total input paths to
process
: 2
08/10/29 18:30:38 INFO mapred.JobClient: Running job:
job_200810291828_0010
08/10/29 18:30:39 INFO mapred.JobClient: map 0% reduce 0%
08/10/29 18:30:45 INFO mapred.JobClient: map 50% reduce 0%
08/10/29 18:30:47 INFO mapred.JobClient: Job complete:
job_200810291828_0010
08/10/29 18:30:47 INFO mapred.JobClient: Counters: 7
08/10/29 18:30:47 INFO mapred.JobClient: File Systems
08/10/29 18:30:47 INFO mapred.JobClient: HDFS bytes read=340060
08/10/29 18:30:47 INFO mapred.JobClient: HDFS bytes written=1020535
08/10/29 18:30:47 INFO mapred.JobClient: Job Counters
08/10/29 18:30:47 INFO mapred.JobClient: Launched map tasks=2
08/10/29 18:30:47 INFO mapred.JobClient: Data-local map tasks=2
08/10/29 18:30:47 INFO mapred.JobClient: Map-Reduce Framework
08/10/29 18:30:47 INFO mapred.JobClient: Map input records=600
08/10/29 18:30:47 INFO mapred.JobClient: Map input bytes=323660
08/10/29 18:30:47 INFO mapred.JobClient: Map output records=600
08/10/29 18:30:47 WARN mapred.JobClient: Use GenericOptionsParser for
parsing the arguments. Applications should implement Tool for the same.
08/10/29 18:30:47 INFO mapred.FileInputFormat: Total input paths to
process
: 2
08/10/29 18:30:48 INFO mapred.JobClient: Running job:
job_200810291828_0011
08/10/29 18:30:49 INFO mapred.JobClient: map 0% reduce 0%
08/10/29 18:30:56 INFO mapred.JobClient: map 50% reduce 0%
08/10/29 18:30:57 INFO mapred.JobClient: Job complete:
job_200810291828_0011
08/10/29 18:30:57 INFO mapred.JobClient: Counters: 7
08/10/29 18:30:57 INFO mapred.JobClient: File Systems
08/10/29 18:30:57 INFO mapred.JobClient: HDFS bytes read=1020535
08/10/29 18:30:57 INFO mapred.JobClient: HDFS bytes written=325460
08/10/29 18:30:57 INFO mapred.JobClient: Job Counters
08/10/29 18:30:57 INFO mapred.JobClient: Launched map tasks=2
08/10/29 18:30:57 INFO mapred.JobClient: Data-local map tasks=2
08/10/29 18:30:57 INFO mapred.JobClient: Map-Reduce Framework
08/10/29 18:30:57 INFO mapred.JobClient: Map input records=600
08/10/29 18:30:57 INFO mapred.JobClient: Map input bytes=1020535
08/10/29 18:30:57 INFO mapred.JobClient: Map output records=600





On Wed, Oct 29, 2008 at 11:10 AM, Philippe Lamarche <
philippe.lamarche@gmail.com> wrote:

I will!
On 10/29/08, Grant Ingersoll wrote:


Philippe, can you try the patch suggested by Arun Murthy on
core-user@hadoop.a.o? See
http://issues.apache.org/jira/browse/HADOOP-4277

I'm pretty swamped at the moment w/ ApacheCon coming up next week, but
if
it does fix the issue, then maybe we should move forward to the 18.2
candidate (I don't think it has been released yet, those guys have a
pretty
sophisticated build process going)

-Grant

On Oct 28, 2008, at 7:19 AM, Philippe Lamarche wrote:

Ubuntu linux 2.6.24 <http://2.6.24.21>, with java-6-sun-1.6.0.07.
On Tue, Oct 28, 2008 at 7:03 AM, Grant Ingersoll <gsingers@apache.org
wrote:
Just a single machine. I didn't think we were using features either.
Are
you saying you can run the example using 0.18.1?

BTW, Philippe, what JVM, O/S, etc. are you using?

-Grant


On Oct 27, 2008, at 11:55 PM, Jeff Eastman wrote:

Hi,

Are you guys running on real Hadoop arrays? I can run the synthetic
control example just fine on a single machine. That code is just
trying
to
read a vector from a string. I'd be surprised if we were using any
"features" but will watch the threads.

Jeff



Grant Ingersoll wrote:

I started a thread on core-user@hadoop.a.o:
http://hadoop.markmail.org/message/cczunzfhpcqz6pis


On Oct 27, 2008, at 9:49 PM, Grant Ingersoll wrote:

OK, I can confirm that the exact same code works with 0.17.2 and not
w/

0.18.1. So, it sounds like a bug in Hadoop, or we are relying on
incorrect behavior in Hadoop.


On Oct 27, 2008, at 9:33 PM, Grant Ingersoll wrote:

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.


BTW, are you saying the same exact code was working on 0.17.2 or
are
you referring to some older Mahout code that worked on 17.2?




On Sun, Oct 26, 2008 at 9:48 AM, Grant Ingersoll <
gsingers@apache.org

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:

hadoop@philippe-vaio:/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










--------------------------
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













--------------------------
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









--------------------------
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








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