AW: AW: Sql nested set from dictionary
Adrian Vintu <adrianvintu-/[email protected]>
| Newsgroups | gmane.comp.windows.off-topic |
|---|---|
| Message-ID | <[email protected]> |
I now use a static IndexSearcher and I can see a performance improvement. Unless you have any more tips, I think I will leave it like this. Thank you very much, Adrian ________________________________ Von: Adrian Vintu <adrianvintu-/[email protected]> An: [email protected] Gesendet: Freitag, den 25. Juni 2010, 16:53:28 Uhr Betreff: AW: [OT] Sql nested set from dictionary - Indexing - w.optimize - nope w.close - yes - Searching - if i keep the IndexSearcher i get some "still open or not opened exception". will check later. the following StandardAnalyzer analyzer = new StandardAnalyzer( Version.LUCENE_ 29); Directory index = new MMapDirectory( new File("lucene_ lexems")) ; are static - lazy loaded. well, the whole index folder is 8 megs... on the desktop it works great, but on the mobile it takes 1 second... - i am as new as possible with Lucene, so please forgive my ignorance :) - thank you, Adrian ________________________________ Von: Ryan Heath <ryan.Q.heath@ gmail.com> An: win_tech_off_ topic@yahoogroup s.com Gesendet: Freitag, den 25. Juni 2010, 16:36:32 Uhr Betreff: Re: [OT] Sql nested set from dictionary define "slow-ish" ... We have results ~10ms for an index that is 2 GB in size. I think you miss a w.Optimize() and w.Close() after the documents are added? We also keep the IndexSearcher around, its threadsafe. HTH // Ryan On Fri, Jun 25, 2010 at 4:23 PM, Adrian Vintu <adrianvintu@ yahoo.com> wrote: > > > > > > > > > > > > > > > > > >> > >> > >Hi Ryan, > >After much testing and playing around with different solutions, I decided to choose Lucene :) > >It works nice, but I would really like to get some extra performance - it's still slow-ish on the phones. > >Maybe you can give me some tips. > >Here's what I have for now. > >1. ~130.000 words to index > >2. indexing is as follows > StandardAnalyzer analyzer = new StandardAnalyzer( Version.LUCENE_ 29); > Directory index = new MMapDirectory( new File("lucene_ lexems")) ; >> IndexWriter w = new IndexWriter( index, analyzer, true, IndexWriter. MaxFieldLength. UNLIMITED) ; > > > for 130.000 times do > Document doc = new Document(); > doc.add(new Field("title" , value, > Field.Store. YES, Field.Index. ANALYZED) ); > w.addDocument( doc); > end for > >3. getting the results > String querystr = searched_word + "*"; > Query q = new QueryParser( Version.LUCENE_ 29, "title", analyzer).parse( querystr) ; >> int hitsPerPage = 110; > IndexSearcher searcher = new IndexSearcher( index, true); > TopDocs topDocs = searcher.search( q, hitsPerPage) ; > ScoreDoc[] hits = topDocs.scoreDocs; > >I would have tried Snowball but I cannot find the sources and I also don't think it's much help... > >Any help would be greatly appreciated :) > >Thank you, >Adrian > > > > > ________________________________ Von: Ryan Heath <ryan.Q.heath@ gmail.com> > >An: win_tech_off_ topic@yahoogroup s.com > >Gesendet: Mittwoch, den 16. Juni 2010, 17:23:01 Uhr >Betreff: Re: [OT] Sql nested set from dictionary > > > > > > >> > >Hi, > > >Maybe a Lucene index is more appropriate for your problem? > > >We have recently moved from sqlserver fultext search to a lucene index and we will never look back ;) > > >http://lucene. apache.org/ lucene.net/ > > >// Ryan > > >On Wed, Jun 16, 2010 at 2:53 PM, Adrian Vintu <adrianvintu@ yahoo.com> wrote: > >>> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >>>> >> >>>> >> >>Hi all, >> >>I have a read-only dictionary of ~2 million words. >> >>They are now stored in an Sqlite database like this >> >>Table WORD >>ID WORD POINTER_TO_DATA >> >>1 bla 207 >>2 next 135 >>3 example 1234 >>4 other 3457 >>... >> >>Using this non-tree way of storing the words kills my system when doing a SELECT LIKE 'word%' - think mobile. >> >>I would need a script(SQL, Java, C#, Python, >> etc) to create a tree out of the structure, or even better, a nested set like here http://dev.mysql. com/tech- resources/ articles/ hierarchical- data.html >> >>Any help would be greatly appreciated. >> >>(I have googled around, but I am not even sure what the keywords are...) >> >>Thank you, >>Best regards, >>Adrian Vintu >> >> >