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在我的 Webmethods 应用程序中，我需要实现一个搜索功能，并且我已经使用 Lucene 完成了它。但是，当我搜索标题以 alpabet.for 以外的文件结尾的文件时，搜索不会检索结果，例如：- doc1.txt 或 new$.txt
在下面的代码中，当我尝试打印 queryCmbd时，它的打印搜索结果>> >>>>>title:"doc1 txt" (contents:doc1 contents:txt)。当我搜索像 doc.txt 这样的字符串时，结果是 Search Results>>>>>>>title:"doc.txt"内容：doc.txt。为了解析这些类型的字符串（如 doc1.txt、new$.txt）应该怎么做？

 public java.util.ArrayList<DocNames> searchIndex(String querystr,
                String path, StandardAnalyzer analyzer) {
            String FIELD_CONTENTS = "contents";
            String FIELD_TITLE = "title";
            String queryStringCmbd = null;

            queryStringCmbd = new String();

            String queryFinal = new String(querystr.replaceAll(" ", " AND "));
            queryStringCmbd = FIELD_TITLE + ":\"" + queryFinal + "\" OR "
                    + queryFinal;


            try {

                FSDirectory directory = FSDirectory.open(new File(path));

                Query q = new QueryParser(Version.LUCENE_36, FIELD_CONTENTS,
                        analyzer).parse(querystr);

                Query queryCmbd = new QueryParser(Version.LUCENE_36,
                        FIELD_CONTENTS, analyzer).parse(queryStringCmbd);

                int hitsPerPage = 10;
                IndexReader indexReader = IndexReader.open(directory);
                IndexSearcher indexSearcher = new IndexSearcher(indexReader);

                TopScoreDocCollector collector = TopScoreDocCollector.create(
                        hitsPerPage, true);
                indexSearcher.search(queryCmbd, collector);
                ScoreDoc[] hits = collector.topDocs().scoreDocs;

                System.out
                        .println("Search Results>>>>>>>>>>>>"
                                + queryCmbd);

                docNames = new ArrayList<DocNames>();
                for (int i = 0; i < hits.length; ++i) {
                    int docId = hits[i].doc;
                    Document d = indexSearcher.doc(docId);
                    DocNames doc = new DocNames();
                    doc.setIndex(i + 1);
                    doc.setDocName(d.get("title"));
                    doc.setDocPath(d.get("path"));
                    if (!(d.get("path").contains("indexDirectory"))) {
                        docNames.add(doc);
                    }
                }

                indexReader.flush();
                indexReader.close();
                indexSearcher.close();
                return docNames;
            } catch (CorruptIndexException e) {
                closeIndex(analyzer);
                e.printStackTrace();
                return null;
            } catch (IOException e) {
                closeIndex(analyzer);
                e.printStackTrace();
                return null;
            } catch (ParseException e) {
                closeIndex(analyzer);
                e.printStackTrace();
                return null;
            }
        }
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1 回答 1

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您的问题来自您正在使用的事实StandardAnalyzer。如果您阅读它的javadoc，它会告诉您它正在StandardTokenizer用于令牌拆分。这意味着短语 likedoc1.txt将被拆分为doc1and txt。

如果要匹配整个文本，则需要使用KeywordAnalyzer-both for indexing 和 search。下面的代码显示了区别：使用StandardAnalyzer标记是{"doc1", "txt"}和使用KeywordAnalyzer唯一的标记是doc1.txt。

    String foo = "foo:doc1.txt";
    StandardAnalyzer sa = new StandardAnalyzer(Version.LUCENE_34);
    TokenStream tokenStream = sa.tokenStream("foo", new StringReader(foo));
    while (tokenStream.incrementToken()) {
        System.out.println(tokenStream.getAttribute(TermAttribute.class).term());
    }

    System.out.println("-------------");

    KeywordAnalyzer ka = new KeywordAnalyzer();
    TokenStream tokenStream2 = ka.tokenStream("foo", new StringReader(foo));
    while (tokenStream2.incrementToken()) {
        System.out.println(tokenStream2.getAttribute(TermAttribute.class).term());
    }
于 2012-12-04T13:57:08.443 回答