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From Otis Gospodnetic <otis_gospodne...@yahoo.com>
Subject Re: AW: feedback: Indexing speed improvement lucene 2.2->2.3.1
Date Wed, 26 Mar 2008 02:55:10 GMT
Hi Jay,

Sorry, lapsus calami, that would be Lucene *contrib*.
Have a look:
http://lucene.apache.org/java/2_3_1/api/contrib-analyzers/index.html

Otis
--
Sematext -- http://sematext.com/ -- Lucene - Solr - Nutch

----- Original Message ----
From: Jay <yu@AI.SRI.COM>
To: java-user@lucene.apache.org
Sent: Tuesday, March 25, 2008 6:15:54 PM
Subject: Re: AW: feedback: Indexing speed improvement lucene 2.2->2.3.1

Sorry, I could not find the filter in the 2.3 API class list (core + 
contrib + test). I am not ware of lucene config file either. Could you 
please tell me where it is in 2.3 release?

Thanks!

Jay

Otis Gospodnetic wrote:
> Jay,
> 
> Have a look at Lucene config, it's all there, including tests.  This filter will take
a token such as "foobar" and chop it up into n-grams (e.g. foobar -> fo oo ob ba ar would
be a set of bi-grams).  You can specify the n-gram size and even min and max n-gram size.
> 
> Otis
> --
> Sematext -- http://sematext.com/ -- Lucene - Solr - Nutch
> 
> ----- Original Message ----
> From: Jay <yu@AI.SRI.COM>
> To: java-user@lucene.apache.org
> Sent: Tuesday, March 25, 2008 1:32:24 PM
> Subject: Re: AW: feedback: Indexing speed improvement lucene 2.2->2.3.1
> 
> Hi Uwe,
> 
> I am curious what NGramStemFilter is? Is it a combination of porter 
> stemming and word ngram identification?
> 
> Thanks!
> 
> Jay
> 
> Uwe Goetzke wrote:
>> Hi Ivan,
>> No, we do not use StandardAnalyser or StandardTokenizer.
>>
>> Most data is processed by 
>>     fTextTokenStream = result = new org.apache.lucene.analysis.WhitespaceTokenizer(reader);
>>     result = new ISOLatin2AccentFilter(result); // ISOLatin1AccentFilter  modified
that ö -> oe
>>     result = new org.apache.lucene.analysis.LowerCaseFilter(result);
>>     result = new org.apache.lucene.analysis.NGramStemFilter(result,2); //just a bigram
tokenizer
>>
>> We use our own queryparser. The bigramms are searched with a tolerant phrase query,
scoring in a doc the greatest bigramms clusters covering the phrase token. 
>>
>> Best Regards
>>
>> Uwe
>>
>> -----Ursprüngliche Nachricht-----
>> Von: Ivan Vasilev [mailto:ivasilev@sirma.bg] 
>> Gesendet: Freitag, 21. März 2008 16:25
>> An: java-user@lucene.apache.org
>> Betreff: Re: feedback: Indexing speed improvement lucene 2.2->2.3.1
>>
>> Hi Uwe,
>>
>> Could you tell what Analyzer do you use when you marked so big indexing 
>> speedup?
>> If you use StandardAnalyzer (that uses StandardTokenizer) may be the 
>> reason is in it. You can see the pre last report in the thread "Indexing 
>> Speed: 2.3 vs 2.2 (real world numbers)". According to the reporter Jake 
>> Mannix this is because now StandardTokenizer uses StandardTokenizerImpl 
>> that now is generated by JFlex instead of JavaCC.
>> I am asking because I noticed a great speedup in adding documents to 
>> index in our system. We have time control on this in the debug mode. NOW 
>> THEY ARE ADDED 5 TIMES FASTER!!!
>> But in the same time the total process of indexing in our case has 
>> improvement of about 8%. As our system is very big and complex I am 
>> wondering if really the whole process of indexing is reduces so 
>> remarkably and our system causes this slowdown or may be Lucene does 
>> some optimizations on the index, merges or something else and this is 
>> the reason the total process of indexing to be not so reasonably faster.
>>
>> Best Regards,
>> Ivan
>>
>>
>>
>> Uwe Goetzke wrote:
>>> This week I switched the lucene library version on one customer system.
>>> The indexing speed went down from 46m32s to 16m20s for the complete task
>>> including optimisation. Great Job!
>>> We index product catalogs from several suppliers, in this case around
>>> 56.000 product groups and 360.000 products including descriptions were
>>> indexed.
>>>
>>> Regards
>>>
>>> Uwe
>>>
>>>
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