Re: Problems with KMeans clustering

Mon, 27 Oct 2008 16:31:02 -0700 


On Oct 27, 2008, at 4:26 PM, Philippe Lamarche wrote:


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.
What happens if you don't do this but use the "job" file instead (ant job in the examples dir)? I'm trying to replicate this, but am stuck at the moment. 




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












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