Question

我首次使用Lucene.Net dll进行全文搜索。 我的情况（示例）： - 我有更多的List项目entites与不同的字段索引。例如导演{id，type，title，firstname，...}和Car {id，type，name，color，owner ...}。当我尝试使用Multifield搜索＆＃34; Rob＆＃34;时，一切正常。结果包含董事和汽车的文件。

问题： 我可以知道在哪个领域找到了结果？标题，所有者..？我喜欢将解析后的结果作为MyParsedResult列表{id，type，content}返回，其中content字段将包含doc的相关字段值（例如doc.Get（＆＃34; firstname＆＃34;））

有可能吗？

非常感谢你。

Answer 1

我根据您的需要修改了this answer

class TVM : Lucene.Net.Index.TermVectorMapper
{
    public HashSet<Lucene.Net.Index.Term> FoundTerms = new HashSet<Lucene.Net.Index.Term>();
    HashSet<Lucene.Net.Index.Term> _AllTerms = new HashSet<Lucene.Net.Index.Term>();

    public TVM(Lucene.Net.Search.Query q, Lucene.Net.Index.IndexReader r) : base()
    {
        q.Rewrite(r).ExtractTerms(_AllTerms);
    }

    public override void SetExpectations(string field, int numTerms, bool storeOffsets, bool storePositions)
    {
    }

    public override void SetDocumentNumber(int documentNumber)
    {
        FoundTerms.Clear();
    }

    public override void Map(string term, int frequency, Lucene.Net.Index.TermVectorOffsetInfo[] offsets, int[] positions)
    {
        var fountTerm = _AllTerms.FirstOrDefault(x => x.Text == term);
        if (fountTerm != null) FoundTerms.Add(fountTerm);
    }

}

void TermVectorMapperTest()
{
    var dir = new Lucene.Net.Store.RAMDirectory();

    //Index
    using (var writer = new Lucene.Net.Index.IndexWriter(dir, new Lucene.Net.Analysis.Standard.StandardAnalyzer(Lucene.Net.Util.Version.LUCENE_30), true, Lucene.Net.Index.IndexWriter.MaxFieldLength.UNLIMITED))
    {
        Lucene.Net.Documents.Document d = null;

        d = new Lucene.Net.Documents.Document();
        d.Add(new Lucene.Net.Documents.Field("field1", "microscope aaa", Lucene.Net.Documents.Field.Store.YES, Lucene.Net.Documents.Field.Index.ANALYZED, Lucene.Net.Documents.Field.TermVector.WITH_POSITIONS_OFFSETS));
        d.Add(new Lucene.Net.Documents.Field("field2", "microswave bbb", Lucene.Net.Documents.Field.Store.YES, Lucene.Net.Documents.Field.Index.ANALYZED, Lucene.Net.Documents.Field.TermVector.WITH_POSITIONS_OFFSETS));
        writer.AddDocument(d);

        d = new Lucene.Net.Documents.Document();
        d.Add(new Lucene.Net.Documents.Field("field2", "microsoft ccc", Lucene.Net.Documents.Field.Store.YES, Lucene.Net.Documents.Field.Index.ANALYZED, Lucene.Net.Documents.Field.TermVector.WITH_POSITIONS_OFFSETS));
        writer.AddDocument(d);

        d = new Lucene.Net.Documents.Document();
        d.Add(new Lucene.Net.Documents.Field("field1", "zzz", Lucene.Net.Documents.Field.Store.YES, Lucene.Net.Documents.Field.Index.ANALYZED, Lucene.Net.Documents.Field.TermVector.WITH_POSITIONS_OFFSETS));
        writer.AddDocument(d);
    }

    //Search
    using (var indexReader = Lucene.Net.Index.IndexReader.Open(dir, true))
    {
        var indexSearcher = new Lucene.Net.Search.IndexSearcher(indexReader);

        var queryParser = new Lucene.Net.QueryParsers.QueryParser(Lucene.Net.Util.Version.LUCENE_30, "field1", new Lucene.Net.Analysis.Standard.StandardAnalyzer(Lucene.Net.Util.Version.LUCENE_30));
        queryParser.MultiTermRewriteMethod = Lucene.Net.Search.MultiTermQuery.SCORING_BOOLEAN_QUERY_REWRITE;
        var query = queryParser.Parse("field1:micro* field2:micro*");

        var results = indexSearcher.Search(query, 5);

        TVM tvm = new TVM(query, indexReader);
        foreach(var sd in results.ScoreDocs)
        {
            Console.Write("DOCID:" + sd.Doc + " > ");
            indexReader.GetTermFreqVector(sd.Doc, tvm);
            Console.WriteLine(String.Join(" ", tvm.FoundTerms.Select(term => "[" + term.Field + ":" + term.Text + "]")));
        }
    }
}

Lucene.net结果解析

1 个答案: