0, 2009 6:37 PM
> To: java-user@lucene.apache.org
> Subject: Re: Performance problems with Lucene 2.9
>
> The problem with this method is that I won't be able to know how many
> total
> results / pages a search have?
>
> For example if I do a search X that returns 1,00
; > > useful, because the first 200 hits cannot be ranked.
> > > >
> > > > -
> > > > Uwe Schindler
> > > > H.-H.-Meier-Allee 63, D-28213 Bremen
> > > > http://www.thetaphi.de
> > > > eMail: u...@thetaphi.de
> > >
ot be ranked.
> >> >
> >> > -
> >> > Uwe Schindler
> >> > H.-H.-Meier-Allee 63, D-28213 Bremen
> >> > http://www.thetaphi.de
> >> > eMail: u...@thetaphi.de
> >> >
> >> > > -Original Message-
st 200 hits cannot be ranked.
> > >
> > > -
> > > Uwe Schindler
> > > H.-H.-Meier-Allee 63, D-28213 Bremen
> > > http://www.thetaphi.de
> > > eMail: u...@thetaphi.de
> > >
> > > > -Original Message-
> > >
esults, TopDocs is not
>> > very
>> > useful, because the first 200 hits cannot be ranked.
>> >
>> > -
>> > Uwe Schindler
>> > H.-H.-Meier-Allee 63, D-28213 Bremen
>> > http://www.thetaphi.de
>> > eMail: u.
e
> > eMail: u...@thetaphi.de
> >
> > > -Original Message-
> > > From: Michel Nadeau [mailto:aka...@gmail.com]
> > > Sent: Monday, November 30, 2009 5:35 PM
> > > To: java-user@lucene.apache.org
> > > Subject: Re: Performance proble
009 5:35 PM
> > To: java-user@lucene.apache.org
> > Subject: Re: Performance problems with Lucene 2.9
> >
> > I'll definitely switch to a Collector.
> >
> > It's just not clear for me if I should use BooleanQueries or
> > MatchAllDocuments+Fi
0, 2009 5:35 PM
> To: java-user@lucene.apache.org
> Subject: Re: Performance problems with Lucene 2.9
>
> I'll definitely switch to a Collector.
>
> It's just not clear for me if I should use BooleanQueries or
> MatchAllDocuments+Filters ?
>
> And should I wri
f you replace a relational database with Lucene, be sure not to
>> > think
>> > > in a relational sense with foreign keys / primary keys and so on. In
>> > > general
>> > > you should flatten everything.
>> > >
>> > > Uwe
>
u should flatten everything.
> > >
> > > Uwe
> > >
> > > -----
> > > Uwe Schindler
> > > H.-H.-Meier-Allee 63, D-28213 Bremen
> > > http://www.thetaphi.de
> > > eMail: u...@thetaphi.de
> > >
> > >
> > &g
n
> > general
> > you should flatten everything.
> >
> > Uwe
> >
> > -
> > Uwe Schindler
> > H.-H.-Meier-Allee 63, D-28213 Bremen
> > http://www.thetaphi.de
> > eMail: u...@thetaphi.de
> >
> >
> > > -Ori
t; Uwe
>
> -
> Uwe Schindler
> H.-H.-Meier-Allee 63, D-28213 Bremen
> http://www.thetaphi.de
> eMail: u...@thetaphi.de
>
>
> > -Original Message-
> > From: Michel Nadeau [mailto:aka...@gmail.com]
> > Sent: Monday, November 30, 2009 5:10 PM
> > To:
o: java-user@lucene.apache.org
> Subject: Re: Performance problems with Lucene 2.9
>
> What is the main difference between Hits and Collectors?
>
> - Mike
> aka...@gmail.com
>
>
> On Mon, Nov 30, 2009 at 11:03 AM, Uwe Schindler wrote:
>
> > And if you only hav
w.thetaphi.de
> eMail: u...@thetaphi.de
>
>
> > -Original Message-
> > From: Shai Erera [mailto:ser...@gmail.com]
> > Sent: Monday, November 30, 2009 4:56 PM
> > To: java-user@lucene.apache.org
> > Subject: Re: Performance problems with Lucene 2.9
> >
>
Hi !
Thanks so much !!
* I'll check the documentation for MatchAllDocsQuery.
* I'm already changing my code to create BooleanQueries instead of filters -
is that better than MatchAllDocsQuery or it's the same?
* Is using MatchAllDocsQuery the only way to disable scoring?
* Would you have any good
.-Meier-Allee 63, D-28213 Bremen
http://www.thetaphi.de
eMail: u...@thetaphi.de
> -Original Message-
> From: Shai Erera [mailto:ser...@gmail.com]
> Sent: Monday, November 30, 2009 4:56 PM
> To: java-user@lucene.apache.org
> Subject: Re: Performance problems with Luc
Hi
First you can use MatchAllDocsQuery, which matches all documents. It will
save a HUGE posting list (TAG:TAG), and performs much faster. For example
TAG:TAG computes a score for each doc, even though you don't need it.
MatchAllDocsQuery doesn't.
Second, move away from Hits ! :) Use Collectors i
Hi,
we use Lucene to store around 300 millions of records. We use the index both
for conventional searching, but also for all the system's data - we replaced
MySQL with Lucene because it was simply not working at all with MySQL due to
the amount or records. Our problem is that we have HUGE perform
18 matches
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