2010-06-01 65 views
8

我发现了一个很好的例子,在基本查询上获取方面计数。它存储基本查询的比特数,以在每一个方面被计数时提高性能。Lucene.NET 2.9和BitArray/DocIdSet

 var genreQuery = new TermQuery(new Term("genre", genre)); 
     var genreQueryFilter = new QueryFilter(genreQuery); 
     BitArray genreBitArray = genreQueryFilter.Bits(searcher.GetIndexReader()); 
     Console.WriteLine("There are " + GetCardinality(genreBitArray) + " document with the genre " + genre); 

     // Next perform a regular search and get its BitArray result 
     Query searchQuery = MultiFieldQueryParser.Parse(term, new[] {"title", "description"}, new[] {BooleanClause.Occur.SHOULD, BooleanClause.Occur.SHOULD}, new StandardAnalyzer()); 
     var searchQueryFilter = new QueryFilter(searchQuery); 
     BitArray searchBitArray = searchQueryFilter.Bits(searcher.GetIndexReader()); 
     Console.WriteLine("There are " + GetCardinality(searchBitArray) + " document containing the term " + term); 

唯一的问题是,我使用的是更新版本的Lucene.NET(2.9)和Filter.Bits已过时。我们被告知要使用DocIdSet(而不是BitArray)。

我找不到如何用docIdSet做bitArray.And(bitArray)。我看着反射器,发现有OpenIdSet和操作。不知道是否OpenIdSet是要走的路线,我只是说。

在此先感谢!

回答

14

找到了。

  var productsDISI = new OpenBitSetDISI(productResults.Iterator(), 25000); 
      var termQuery = new TermQuery(new Term("Spec" + expectedFacet.SpecificationId, expectedFacet.SpecificationOptionId.ToString())); 
      var termQueryFilter = new QueryWrapperFilter(termQuery); 
      var termIterator = termQueryFilter.GetDocIdSet(productReader).Iterator(); 
      productsDISI.InPlaceAnd(termIterator); 
      var total = productsDISI.Cardinality(); 

的结果也快得多。

+1

感谢您分享答案,为我节省了许多小时的研究 – Woland 2013-11-16 06:02:24