How to implement Solr's facet.missing=true with Lucene












1














Solr supports returning the number of matching documents with no facet value for the field. How can the same be achieved with Lucene?



Example: I have 5 documents that may have values for the a field category




  • Document 1 has category=A

  • Document 2 has category=A and category=B

  • Document 3 has category=B and category=C

  • Document 4 and 5 have no category values


The code looks like



 var facetsCollector = new FacetsCollector();
FacetsCollector.Search(_indexSearcher, new MatchAllDocsQuery(), 100, facetsCollector);
var state = DefaultSortedSetDocValuesReaderState(_indexReader, "category_facet");
var facets = SortedSetDocValuesFacetCounts(state, facetsCollector);
var children = facets.GetTopChildren(100, "category_dim");


This gives me LabelValues




  • Label:A, Value:2

  • Label:B, Value:2

  • Label:C, Value:1


How can I determine "Label:(missing), Value:2"?



Running another query +*:* -category:* is an obvious option. However, can it be done in a smarter way?










share|improve this question



























    1














    Solr supports returning the number of matching documents with no facet value for the field. How can the same be achieved with Lucene?



    Example: I have 5 documents that may have values for the a field category




    • Document 1 has category=A

    • Document 2 has category=A and category=B

    • Document 3 has category=B and category=C

    • Document 4 and 5 have no category values


    The code looks like



     var facetsCollector = new FacetsCollector();
    FacetsCollector.Search(_indexSearcher, new MatchAllDocsQuery(), 100, facetsCollector);
    var state = DefaultSortedSetDocValuesReaderState(_indexReader, "category_facet");
    var facets = SortedSetDocValuesFacetCounts(state, facetsCollector);
    var children = facets.GetTopChildren(100, "category_dim");


    This gives me LabelValues




    • Label:A, Value:2

    • Label:B, Value:2

    • Label:C, Value:1


    How can I determine "Label:(missing), Value:2"?



    Running another query +*:* -category:* is an obvious option. However, can it be done in a smarter way?










    share|improve this question

























      1












      1








      1







      Solr supports returning the number of matching documents with no facet value for the field. How can the same be achieved with Lucene?



      Example: I have 5 documents that may have values for the a field category




      • Document 1 has category=A

      • Document 2 has category=A and category=B

      • Document 3 has category=B and category=C

      • Document 4 and 5 have no category values


      The code looks like



       var facetsCollector = new FacetsCollector();
      FacetsCollector.Search(_indexSearcher, new MatchAllDocsQuery(), 100, facetsCollector);
      var state = DefaultSortedSetDocValuesReaderState(_indexReader, "category_facet");
      var facets = SortedSetDocValuesFacetCounts(state, facetsCollector);
      var children = facets.GetTopChildren(100, "category_dim");


      This gives me LabelValues




      • Label:A, Value:2

      • Label:B, Value:2

      • Label:C, Value:1


      How can I determine "Label:(missing), Value:2"?



      Running another query +*:* -category:* is an obvious option. However, can it be done in a smarter way?










      share|improve this question













      Solr supports returning the number of matching documents with no facet value for the field. How can the same be achieved with Lucene?



      Example: I have 5 documents that may have values for the a field category




      • Document 1 has category=A

      • Document 2 has category=A and category=B

      • Document 3 has category=B and category=C

      • Document 4 and 5 have no category values


      The code looks like



       var facetsCollector = new FacetsCollector();
      FacetsCollector.Search(_indexSearcher, new MatchAllDocsQuery(), 100, facetsCollector);
      var state = DefaultSortedSetDocValuesReaderState(_indexReader, "category_facet");
      var facets = SortedSetDocValuesFacetCounts(state, facetsCollector);
      var children = facets.GetTopChildren(100, "category_dim");


      This gives me LabelValues




      • Label:A, Value:2

      • Label:B, Value:2

      • Label:C, Value:1


      How can I determine "Label:(missing), Value:2"?



      Running another query +*:* -category:* is an obvious option. However, can it be done in a smarter way?







      lucene facet






      share|improve this question













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      asked Nov 19 '18 at 12:19









      Paul B.

      1,7301839




      1,7301839
























          1 Answer
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          Solr facet.missing functionality is done without any collectors by just doing this:



          SchemaField sf = searcher.getSchema().getField(fieldName);
          DocSet hasVal = searcher.getDocSet(sf.getType().getRangeQuery(null, sf, null, null, false, false));
          return docs.andNotSize(hasVal);


          which basically means - use the docset that was provided earlier by the search, get another docset by running range query which is finding only documents with missing values and then applying simple boolean operation.



          Unfortunately, Lucene doesn't have built-in DocSet functionality so it would require some tricks. I could come up with something like this:



          Query q = some Lucene query
          Set<Integer> queryRes = new HashSet<>();
          searcher.search(q, new CheckHits.SetCollector(queryRes));

          Set<Integer> missingRes = new HashSet<>();
          searcher.search(new TermRangeQuery("category", null, null, false, false), new CheckHits.SetCollector(missingRes));
          missingRes.retainAll(queryRes);

          System.out.println(missingRes.size());


          HashSet retain functionality should be pretty okay in terms of speed. If further needed, this collector could be extended to store ids in somewhere more efficient way



          Full example could be found there






          share|improve this answer





















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            0














            Solr facet.missing functionality is done without any collectors by just doing this:



            SchemaField sf = searcher.getSchema().getField(fieldName);
            DocSet hasVal = searcher.getDocSet(sf.getType().getRangeQuery(null, sf, null, null, false, false));
            return docs.andNotSize(hasVal);


            which basically means - use the docset that was provided earlier by the search, get another docset by running range query which is finding only documents with missing values and then applying simple boolean operation.



            Unfortunately, Lucene doesn't have built-in DocSet functionality so it would require some tricks. I could come up with something like this:



            Query q = some Lucene query
            Set<Integer> queryRes = new HashSet<>();
            searcher.search(q, new CheckHits.SetCollector(queryRes));

            Set<Integer> missingRes = new HashSet<>();
            searcher.search(new TermRangeQuery("category", null, null, false, false), new CheckHits.SetCollector(missingRes));
            missingRes.retainAll(queryRes);

            System.out.println(missingRes.size());


            HashSet retain functionality should be pretty okay in terms of speed. If further needed, this collector could be extended to store ids in somewhere more efficient way



            Full example could be found there






            share|improve this answer


























              0














              Solr facet.missing functionality is done without any collectors by just doing this:



              SchemaField sf = searcher.getSchema().getField(fieldName);
              DocSet hasVal = searcher.getDocSet(sf.getType().getRangeQuery(null, sf, null, null, false, false));
              return docs.andNotSize(hasVal);


              which basically means - use the docset that was provided earlier by the search, get another docset by running range query which is finding only documents with missing values and then applying simple boolean operation.



              Unfortunately, Lucene doesn't have built-in DocSet functionality so it would require some tricks. I could come up with something like this:



              Query q = some Lucene query
              Set<Integer> queryRes = new HashSet<>();
              searcher.search(q, new CheckHits.SetCollector(queryRes));

              Set<Integer> missingRes = new HashSet<>();
              searcher.search(new TermRangeQuery("category", null, null, false, false), new CheckHits.SetCollector(missingRes));
              missingRes.retainAll(queryRes);

              System.out.println(missingRes.size());


              HashSet retain functionality should be pretty okay in terms of speed. If further needed, this collector could be extended to store ids in somewhere more efficient way



              Full example could be found there






              share|improve this answer
























                0












                0








                0






                Solr facet.missing functionality is done without any collectors by just doing this:



                SchemaField sf = searcher.getSchema().getField(fieldName);
                DocSet hasVal = searcher.getDocSet(sf.getType().getRangeQuery(null, sf, null, null, false, false));
                return docs.andNotSize(hasVal);


                which basically means - use the docset that was provided earlier by the search, get another docset by running range query which is finding only documents with missing values and then applying simple boolean operation.



                Unfortunately, Lucene doesn't have built-in DocSet functionality so it would require some tricks. I could come up with something like this:



                Query q = some Lucene query
                Set<Integer> queryRes = new HashSet<>();
                searcher.search(q, new CheckHits.SetCollector(queryRes));

                Set<Integer> missingRes = new HashSet<>();
                searcher.search(new TermRangeQuery("category", null, null, false, false), new CheckHits.SetCollector(missingRes));
                missingRes.retainAll(queryRes);

                System.out.println(missingRes.size());


                HashSet retain functionality should be pretty okay in terms of speed. If further needed, this collector could be extended to store ids in somewhere more efficient way



                Full example could be found there






                share|improve this answer












                Solr facet.missing functionality is done without any collectors by just doing this:



                SchemaField sf = searcher.getSchema().getField(fieldName);
                DocSet hasVal = searcher.getDocSet(sf.getType().getRangeQuery(null, sf, null, null, false, false));
                return docs.andNotSize(hasVal);


                which basically means - use the docset that was provided earlier by the search, get another docset by running range query which is finding only documents with missing values and then applying simple boolean operation.



                Unfortunately, Lucene doesn't have built-in DocSet functionality so it would require some tricks. I could come up with something like this:



                Query q = some Lucene query
                Set<Integer> queryRes = new HashSet<>();
                searcher.search(q, new CheckHits.SetCollector(queryRes));

                Set<Integer> missingRes = new HashSet<>();
                searcher.search(new TermRangeQuery("category", null, null, false, false), new CheckHits.SetCollector(missingRes));
                missingRes.retainAll(queryRes);

                System.out.println(missingRes.size());


                HashSet retain functionality should be pretty okay in terms of speed. If further needed, this collector could be extended to store ids in somewhere more efficient way



                Full example could be found there







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Dec 28 '18 at 15:22









                Mysterion

                5,90221942




                5,90221942






























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