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Posted to solr-user@lucene.apache.org by Charlie Hull <ch...@flax.co.uk> on 2013/12/06 15:29:38 UTC
Introducing Luwak for high-performance stored Lucene queries
Hi all,
We've now released the library we mentioned in our presentation at
Lucene Revolution: https://github.com/flaxsearch/luwak
You can use this to apply tens of thousands of stored Lucene queries to
an incoming document in a second or so on relatively modest hardware. We
use it for media monitoring applications but it could equally be useful
for categorisation, classification etc.
It's currently based on a fork of Lucene (details supplied) but
hopefully it'll work with release versions soon.
Feedback is very welcome!
Cheers
Charlie
--
Charlie Hull
Flax - Open Source Enterprise Search
tel/fax: +44 (0)8700 118334
mobile: +44 (0)7767 825828
web: www.flax.co.uk
Re: Introducing Luwak for high-performance stored Lucene queries
Posted by Charlie Hull <ch...@flax.co.uk>.
On 06/12/2013 14:35, Otis Gospodnetic wrote:
> Hi Charlie,
>
> Very nice - thanks!
>
> I'd love to see a side-by-side comparison with ES percolator..... got
> something like that in your blog topic queue?
It's a good idea, I'll add it to the list. May need some more roundtuits....
C
>
> Otis
> --
> Performance Monitoring * Log Analytics * Search Analytics
> Solr & Elasticsearch Support * http://sematext.com/
>
>
> On Fri, Dec 6, 2013 at 9:29 AM, Charlie Hull <ch...@flax.co.uk> wrote:
>
>> Hi all,
>>
>> We've now released the library we mentioned in our presentation at Lucene
>> Revolution: https://github.com/flaxsearch/luwak
>>
>> You can use this to apply tens of thousands of stored Lucene queries to an
>> incoming document in a second or so on relatively modest hardware. We use
>> it for media monitoring applications but it could equally be useful for
>> categorisation, classification etc.
>>
>> It's currently based on a fork of Lucene (details supplied) but hopefully
>> it'll work with release versions soon.
>>
>> Feedback is very welcome!
>>
>> Cheers
>>
>> Charlie
>>
>> --
>> Charlie Hull
>> Flax - Open Source Enterprise Search
>>
>> tel/fax: +44 (0)8700 118334
>> mobile: +44 (0)7767 825828
>> web: www.flax.co.uk
>>
>
--
Charlie Hull
Flax - Open Source Enterprise Search
tel/fax: +44 (0)8700 118334
mobile: +44 (0)7767 825828
web: www.flax.co.uk
Re: Introducing Luwak for high-performance stored Lucene queries
Posted by "Ing. Jorge Luis Betancourt Gonzalez" <jl...@uci.cu>.
+1 on this.
----- Mensaje original -----
De: "Otis Gospodnetic" <ot...@gmail.com>
Para: solr-user@lucene.apache.org
Enviados: Viernes, 6 de Diciembre 2013 9:35:25
Asunto: Re: Introducing Luwak for high-performance stored Lucene queries
Hi Charlie,
Very nice - thanks!
I'd love to see a side-by-side comparison with ES percolator..... got
something like that in your blog topic queue?
Otis
--
Performance Monitoring * Log Analytics * Search Analytics
Solr & Elasticsearch Support * http://sematext.com/
On Fri, Dec 6, 2013 at 9:29 AM, Charlie Hull <ch...@flax.co.uk> wrote:
> Hi all,
>
> We've now released the library we mentioned in our presentation at Lucene
> Revolution: https://github.com/flaxsearch/luwak
>
> You can use this to apply tens of thousands of stored Lucene queries to an
> incoming document in a second or so on relatively modest hardware. We use
> it for media monitoring applications but it could equally be useful for
> categorisation, classification etc.
>
> It's currently based on a fork of Lucene (details supplied) but hopefully
> it'll work with release versions soon.
>
> Feedback is very welcome!
>
> Cheers
>
> Charlie
>
> --
> Charlie Hull
> Flax - Open Source Enterprise Search
>
> tel/fax: +44 (0)8700 118334
> mobile: +44 (0)7767 825828
> web: www.flax.co.uk
>
________________________________________________________________________________________________
III Escuela Internacional de Invierno en la UCI del 17 al 28 de febrero del 2014. Ver www.uci.cu
________________________________________________________________________________________________
III Escuela Internacional de Invierno en la UCI del 17 al 28 de febrero del 2014. Ver www.uci.cu
Re: Introducing Luwak for high-performance stored Lucene queries
Posted by Otis Gospodnetic <ot...@gmail.com>.
Hi Charlie,
Very nice - thanks!
I'd love to see a side-by-side comparison with ES percolator..... got
something like that in your blog topic queue?
Otis
--
Performance Monitoring * Log Analytics * Search Analytics
Solr & Elasticsearch Support * http://sematext.com/
On Fri, Dec 6, 2013 at 9:29 AM, Charlie Hull <ch...@flax.co.uk> wrote:
> Hi all,
>
> We've now released the library we mentioned in our presentation at Lucene
> Revolution: https://github.com/flaxsearch/luwak
>
> You can use this to apply tens of thousands of stored Lucene queries to an
> incoming document in a second or so on relatively modest hardware. We use
> it for media monitoring applications but it could equally be useful for
> categorisation, classification etc.
>
> It's currently based on a fork of Lucene (details supplied) but hopefully
> it'll work with release versions soon.
>
> Feedback is very welcome!
>
> Cheers
>
> Charlie
>
> --
> Charlie Hull
> Flax - Open Source Enterprise Search
>
> tel/fax: +44 (0)8700 118334
> mobile: +44 (0)7767 825828
> web: www.flax.co.uk
>
Introducing Luwak for high-performance stored Lucene queries
Posted by Alan Woodward <al...@flax.co.uk>.
Cross-posting this from the solr mailing list.
>
> We've now released the library we mentioned in our presentation at Lucene Revolution: https://github.com/flaxsearch/luwak
>
> You can use this to apply tens of thousands of stored Lucene queries to an incoming document in a second or so on relatively modest hardware. We use it for media monitoring applications but it could equally be useful for categorisation, classification etc.
>
> It's currently based on a fork of Lucene (details supplied) but hopefully it'll work with release versions soon.
>
> Feedback is very welcome!
>
> Cheers
>
> Charlie
>
> --
> Charlie Hull
> Flax - Open Source Enterprise Search
>
> tel/fax: +44 (0)8700 118334
> mobile: +44 (0)7767 825828
> web: www.flax.co.uk
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