suggester for multivalued (tags) field

Hi Everyone I have a use case where I need to provide suggestions (autocomplete) on multivalued tags. For example if i have documents as below docId| users | tags (multivalued/array field) --- doc1 [user1, user2,user3] one, two, thirty

Re: Deduplication of search result with custom with custom sort

Thank you very much for helping! There isn't much I can add about my use case. I have user-generated video titles and hash codes by which I can understand that these are the same videos. Users search videos by title and I should return the top 1000 unique videos to them. I will try to use groupin

Re: Deduplication of search result with custom with custom sort

> https://issues.apache.org/jira/browse/SOLR-11831 I collaborated on Las Vegas > patch, I don't think that patch will be merged - it modifies too many things > in the core - we ended up reimplementing it as a standalone plugin. Also keep in mind that the patch makes the difference only if you are

Re: How to access block-max metadata?

Thanks Adrien. Very helpful. The doc for ImpactSource.advanceShallow says it's more efficient than DocIDSetIterator.advance. Is that because advanceShallow is skipping entire blocks at a time, whereas advance is not? One possible optimization I've explored involves skipping pruned docIDs. I tried t

Re: How to access block-max metadata?

advanceShallow is indeed faster than advance because it does less: advanceShallow only advances the cursor for block-max metadata, this allows reasoning about maximum scores without actually advancing the doc ID. advanceShallow is implicitly called via advance. If your optimization rarely helps sk

Re: How to access block-max metadata?

I see. So I'm most likely rarely skipping a block's worth of docs, so using advance() vs nextDoc() doesn't make much of a difference. All good to know. Thank you. On Mon, Oct 12, 2020 at 11:42 AM Adrien Grand wrote: > advanceShallow is indeed faster than advance because it does less: > advanceSh

Links to classes missing for BMW

Hi,-  Is BMW (Block Max Wand) support only for Solr? https://lucene.apache.org/solr/guide/8_6/solr-upgrade-notes.html This pages says "also" so it implies support for Lucene, too, right? Best regards - To unsubscribe, e-mai

Re: Links to classes missing for BMW

BMW support is in Lucene since version 8.0. Uwe Am October 12, 2020 4:08:42 PM UTC schrieb baris.ka...@oracle.com: >Hi,- > >  Is BMW (Block Max Wand) support only for Solr? > >https://lucene.apache.org/solr/guide/8_6/solr-upgrade-notes.html > >This pages says "also" so it implies support for Luce

Re: Links to classes missing for BMW

Hi Uwe,-  Could You please point me to the class documentation please? Best regards On 10/12/20 12:16 PM, Uwe Schindler wrote: BMW support is in Lucene since version 8.0. Uwe Am October 12, 2020 4:08:42 PM UTC schrieb baris.ka...@oracle.com: Hi,-  Is BMW (Block Max Wand) support

Re: Links to classes missing for BMW

There's not much new documentation, it works behind scenes, except that IndexSearcher.search and TopDocs class no longer return an absolute count for totalHits and instead this class: https://lucene.apache.org/core/8_0_0/core/org/apache/lucene/search/TotalHits.html Uwe Am October 12, 2020 4:22

Re: Links to classes missing for BMW

Hi Uwe,-  i see, thanks for the info, i wish the documentation mentions this new algorithm by referencing the papers (i have the papers). Best regards On 10/12/20 12:27 PM, Uwe Schindler wrote: There's not much new documentation, it works behind scenes, except that IndexSearcher.search and

Re: Links to classes missing for BMW

It's not the most visible place, but the paper is referenced in the source code of the class that implements BM WAND https://github.com/apache/lucene-solr/blob/907d1142fa435451b40c072f1d445ee868044b15/lucene/core/src/java/org/apache/lucene/search/WANDScorer.java#L29-L44 . On Mon, Oct 12, 2020 at 6

Re: Links to classes missing for BMW

Hi Adrien,- Great, thanks. Best regards > On Oct 12, 2020, at 1:13 PM, Adrien Grand wrote: > > It's not the most visible place, but the paper is referenced in the source > code of the class that implements BM WAND > https://urldefense.com/v3/__https://github.com/apache/lucene-solr/blob/907d1142