I'm currently trying something like this -

TopFieldDocs tfd = searcher.search(new MatchAllDocsQuery(), cluCF, 200,
cluSort);

cluCF = filters
cluSort = sorts

Now I have another question... is there a way to specify a "start from" so I
could get page 2, 3, 4, etc.. ?

- Mike
aka...@gmail.com


On Mon, Nov 30, 2009 at 12:00 PM, Uwe Schindler <u...@thetaphi.de> wrote:

> > And sorting is done by the
> > collector, Lucene has no idea how to sort.
>
> Sorting is done by the internal collector behind the
> Top(Field)Docs-returning method (your own collectors would have to do it
> themselves). If you call search(Query, n,... Sort), internally an collector
> is created that does the sorting for you and throws away all results that
> do
> not fall into the first 200 hits (if n=200).
>
> > If you use Sort, the returned
> > TopDocs will be sorted.
> >
> > If you do not sort at all and do not score your results, 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...@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 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 write my own collector or the TopDocs one is perfect for
> me
> > ?
> > >
> > > - Mike
> > > aka...@gmail.com
> > >
> > >
> > > On Mon, Nov 30, 2009 at 11:30 AM, Erick Erickson
> > > <erickerick...@gmail.com>wrote:
> > >
> > > > The problem with hits is that a it re-executes the query
> > > > every N documents where N is 100 (?).
> > > >
> > > > So, a loop like
> > > > for (int idx : hits.length) {
> > > >   do something....
> > > > }
> > > >
> > > > Assuming my memory is right and it's every 100, your query will
> > > > re-execute (length/100) times. Which is unfortunate.
> > > >
> > > > The very quick test to see where to concentrate first would be to
> take
> > > > a time stamp just before you hit your loop.....
> > > >
> > > > This will tell you whether this loop is the culprit, but it really
> > > doesn't
> > > > matter because you'll follow the advice from Uwe and Shai anyway <G>.
> > > >
> > > > Filtering and Sorting are applied to Collectors before you see
> > them.....
> > > >
> > > > The other bit would be to investigate your sorting. Remember that the
> > > > first sort or two take quite a while since the relevant caches are
> > > > populated with first used, so second+ queries should be faster. The
> > > > Wiki has some timing/speedup advice.....
> > > >
> > > > Best
> > > > Erick
> > > >
> > > >
> > > > On Mon, Nov 30, 2009 at 11:10 AM, Michel Nadeau <aka...@gmail.com>
> > > wrote:
> > > >
> > > > > What is the main difference between Hits and Collectors?
> > > > >
> > > > > - Mike
> > > > > aka...@gmail.com
> > > > >
> > > > >
> > > > > On Mon, Nov 30, 2009 at 11:03 AM, Uwe Schindler <u...@thetaphi.de>
> > > wrote:
> > > > >
> > > > > > And if you only have a filter and apply it to all documents, make
> > a
> > > > > > ConstantScoreQuery on top of the filter:
> > > > > >
> > > > > > Query q=new ConstantScoreQuery(cluCF);
> > > > > >
> > > > > > Then remove the filter from your search method call and only
> > execute
> > > > this
> > > > > > query.
> > > > > >
> > > > > > And if you iterate over all results never-ever use Hits! (its
> > > already
> > > > > > deprecated). Write a Collector instead (as you are not interested
> > in
> > > > > > scoring).
> > > > > >
> > > > > > And: If 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
> > > > > >
> > > > > > -----
> > > > > > Uwe Schindler
> > > > > > H.-H.-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 Lucene 2.9
> > > > > > >
> > > > > > > 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 instead.
> > > > > > >
> > > > > > > If I understand the chain of filters, do you think you can code
> > > them
> > > > > with
> > > > > > > a
> > > > > > > BooleanQuery that is added BooleanClauses, each with is Term
> > > > > > > (field:value)?
> > > > > > > You can add clauses w/ OR, AND, NOT etc.
> > > > > > >
> > > > > > > Note that in Lucene 2.9, you can avoid scoring documents very
> > > easily,
> > > > > > > which
> > > > > > > is a performance win if you don't need scores (i.e. if you just
> > > want
> > > > to
> > > > > > > match everything, not caring for scores).
> > > > > > >
> > > > > > > Shai
> > > > > > >
> > > > > > > On Mon, Nov 30, 2009 at 5:47 PM, Michel Nadeau
> > <aka...@gmail.com>
> > > > > wrote:
> > > > > > >
> > > > > > > > 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
> > > performance
> > > > > > > > problems... whenever we search, it takes forever to return
> > > results,
> > > > > and
> > > > > > > > Java
> > > > > > > > uses 100% CPU/RAM.
> > > > > > > >
> > > > > > > > Our index fields are like this:
> > > > > > > >
> > > > > > > > TYPE
> > > > > > > > PK
> > > > > > > > FOREIGN_PK
> > > > > > > > TAG
> > > > > > > > ...other information depending on type...
> > > > > > > >
> > > > > > > > * All fields are Field.Index.UN_TOKENIZED
> > > > > > > > * The field "TAG" always contains the value "TAG".
> > > > > > > >
> > > > > > > > Whenever we search in the index, our query is "TAG:TAG" to
> > match
> > > > all
> > > > > > > > documents, and we do the search like this:
> > > > > > > >
> > > > > > > >        // Search
> > > > > > > >        Hits h = searcher.search(q, cluCF, cluSort);
> > > > > > > >
> > > > > > > > cluCF is a ChainedFilter containing all the other filters
> > (like
> > > > > > > > FOREIGN_PK=12345, TYPE=a, etc.).
> > > > > > > >
> > > > > > > > I know that the method is probably crazy because "TAG:TAG" is
> > > > > matching
> > > > > > > all
> > > > > > > > 300M documents and then it applies filters; so that's
> probably
> > > why
> > > > > > every
> > > > > > > > little query is taking 100% CPU/RAM.... but I don't know how
> > to
> > > do
> > > > it
> > > > > > > > properly.
> > > > > > > >
> > > > > > > > Help ! Any advice is welcome.
> > > > > > > >
> > > > > > > > - Mike
> > > > > > > > aka...@gmail.com
> > > > > > > >
> > > > > >
> > > > > >
> > > > > >
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> > > > > >
> > > > >
> > > >
> >
> >
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