I think instead of using range queries for custom pagination, it would
be best to simply sort by the field normally (with or without
searchAfter)

On Tue, Apr 2, 2019 at 7:34 AM Stamatis Zampetakis <zabe...@gmail.com> wrote:
>
> Thanks for the explanation regarding IntersectTermsEnum.next(). I
> understand better now.
>
> How about indexing a string field containing the firstname and lastname of
> a person or possibly its address.
> Values for these fields have variable length and usually they have more
> than 16 bytes. If my understanding is correct then they should (can) not be
> indexed as points.
> Range queries on this fields appear mostly when users implement custom
> pagination (without using searchAfter) on the result set.
>
> The alternative that I consider and seems to work well for the use-cases I
> mentioned is using doc values and SortedDocValuesField.newSlowRangeQuery.
>
>
>
>
>
> Στις Τρί, 2 Απρ 2019 στις 3:01 μ.μ., ο/η Robert Muir <rcm...@gmail.com>
> έγραψε:
>
> > Can you explain a little more about your use-case? I think that's the
> > biggest problem here for term range query. Pretty much all range
> > use-cases are converted over to space partitioned data structures
> > (Points) so its unclear why this query would even be used for anything
> > serious.
> >
> > To answer your question, IntersectTermsEnum.next() doesn't iterate
> > over the whole index, just the term dictionary. But the lines are
> > blurred since if there's only one posting for a term, that single
> > posting is inlined directly into the term dictionary.... and often a
> > ton of terms fit into this category, so seeing 80% time in the term
> > dictionary wouldn't surprise me.
> >
> > On Tue, Apr 2, 2019 at 8:03 AM Stamatis Zampetakis <zabe...@gmail.com>
> > wrote:
> > >
> > > Thanks Robert and Uwe for your feedback!
> > >
> > > I am not sure what you mean that the slowness does not come from the
> > iteration over the term index.
> > > I did a small profiling (screenshot attached) of sending repeatedly a
> > TermRangeQuery that matches almost the whole index and I observe that 80%
> > of the time is spend on IntersectTermsEnum.next() method.
> > > Isn't this the method which iterates over the index?
> > >
> > >
> > >
> > > Στις Δευ, 1 Απρ 2019 στις 6:57 μ.μ., ο/η Uwe Schindler <u...@thetaphi.de>
> > έγραψε:
> > >>
> > >> Hi again,
> > >>
> > >> > The problem with TermRangeQueries is actually not the iteration over
> > the
> > >> > term index. The slowness comes from the fact that all terms between
> > start
> > >> > and end have to be iterated and their postings be fetched and those
> > postings
> > >> > be merged together. If the "source of terms" for doing this is just a
> > simple
> > >> > linear iteration of all terms from/to or the automaton intersection
> > does not
> > >> > really matter for the query execution. The change to prefer the
> > automaton
> > >> > instead of a simple term iteration is just to allow further
> > optimizations, for
> > >> > more info see https://issues.apache.org/jira/browse/LUCENE-5879
> > >>
> > >> So the above issue brings no further improvements (currently). So as
> > said before, a simple enumeration of all all terms and fetching their
> > postings will be as fast. By using an automaton, the idea here is that the
> > term dictionary may have some "percalculated" postings list for prefix
> > terms. So instead of iterating over all terms and merging their postings,
> > the terms dictionary could return a "virtual term" that contains all
> > documents for a whole prefix and store the merged postings list in the
> > index file. This was not yet implemented but is the place to hook into. You
> > could create an improved BlockTermsDict implementation, that allows to get
> > a PostingsEnum for a whole prefix of terms.
> > >>
> > >> Not sure how much of that was already implemented by LUCENE-5879, but
> > it allows to do this. So here is where you could step in and improve the
> > terms dictionary!
> > >>
> > >> Uwe
> > >>
> > >> > Uwe
> > >> >
> > >> > -----
> > >> > Uwe Schindler
> > >> > Achterdiek 19, D-28357 Bremen
> > >> > http://www.thetaphi.de
> > >> > eMail: u...@thetaphi.de
> > >> >
> > >> > > -----Original Message-----
> > >> > > From: Robert Muir <rcm...@gmail.com>
> > >> > > Sent: Monday, April 1, 2019 6:30 PM
> > >> > > To: java-user <java-user@lucene.apache.org>
> > >> > > Subject: Re: Clarification regarding BlockTree implementation of
> > >> > > IntersectTermsEnum
> > >> > >
> > >> > > The regular TermsEnum is really designed for walking terms in
> > linear order.
> > >> > > it does have some ability to seek/leapfrog. But this means paths in
> > a query
> > >> > > automaton that match no terms result in a wasted seek and cpu,
> > because
> > >> > the
> > >> > > api is designed to return the next term after regardless.
> > >> > >
> > >> > > On the other hand the intersect() is for intersecting two automata:
> > query
> > >> > > and index. Presumably it can also remove more inefficiencies than
> > just the
> > >> > > wasted seeks for complex wildcards and fuzzies and stuff, since it
> > can
> > >> > > "see" the whole input as an automaton. so for example it might be
> > able to
> > >> > > work on blocks of terms at a time and so on.
> > >> > >
> > >> > > On Mon, Apr 1, 2019, 12:17 PM Stamatis Zampetakis
> > >> > <zabe...@gmail.com>
> > >> > > wrote:
> > >> > >
> > >> > > > Yes it is used.
> > >> > > >
> > >> > > > I think there are simpler and possibly more efficient ways to
> > implement a
> > >> > > > TermRangeQuery and that is why I am looking into this.
> > >> > > > But I am also curious to understand what IntersectTermsEnum is
> > >> > supposed
> > >> > > to
> > >> > > > do.
> > >> > > >
> > >> > > > Στις Δευ, 1 Απρ 2019 στις 5:34 μ.μ., ο/η Robert Muir <
> > rcm...@gmail.com>
> > >> > > > έγραψε:
> > >> > > >
> > >> > > > > Is this IntersectTermsEnum really being used for term range
> > query?
> > >> > > Seems
> > >> > > > > like using a standard TermsEnum, seeking to the start of the
> > range, then
> > >> > > > > calling next until the end would be easier.
> > >> > > > >
> > >> > > > > On Mon, Apr 1, 2019, 10:05 AM Stamatis Zampetakis
> > >> > > <zabe...@gmail.com>
> > >> > > > > wrote:
> > >> > > > >
> > >> > > > > > Hi all,
> > >> > > > > >
> > >> > > > > > I am currently working on improving the performance of range
> > >> > queries
> > >> > > on
> > >> > > > > > strings. I've noticed that using TermRangeQuery with
> > low-selective
> > >> > > > > queries
> > >> > > > > > is a very bad idea in terms of performance but I cannot
> > clearly explain
> > >> > > > > why
> > >> > > > > > since it seems related with how the IntersectTermsEnum#next
> > >> > method
> > >> > > is
> > >> > > > > > implemented.
> > >> > > > > >
> > >> > > > > > The Javadoc of the class says that the terms index (the
> > burst-trie
> > >> > > > > > datastructure) is not used by this implementation of
> > TermsEnum.
> > >> > > > However,
> > >> > > > > > when I see the implementation of the next method I get the
> > >> > impression
> > >> > > > > that
> > >> > > > > > this is not accurate. Aren't we using the trie structure to
> > skip parts
> > >> > > > of
> > >> > > > > > the data when  the automaton states do not match?
> > >> > > > > >
> > >> > > > > > Can somebody provide a high-level intutition of what
> > >> > > > > > IntersectTermsEnum#next does? Initially, I thought that it is
> > >> > > > traversing
> > >> > > > > > the whole trie structure (skipping some branches when
> > necessary) but
> > >> > I
> > >> > > > > may
> > >> > > > > > be wrong.
> > >> > > > > >
> > >> > > > > > Thanks in advance,
> > >> > > > > > Stamatis
> > >> > > > > >
> > >> > > > >
> > >> > > >
> > >>
> > >>
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