如何在Lucene搜索中匹配精确文本? [英] How to match exact text in Lucene search?

问题描述

我正在尝试匹配 TITLE 列中的文本从ASA5505 8.2迁移到ASA5516的配置.

Im trying to match a text Config migration from ASA5505 8.2 to ASA5516 in column TITLE.

我的程序看起来像这样.

My program looks like this.

Directory directory = FSDirectory.open(indexDir);

MultiFieldQueryParser queryParser = new MultiFieldQueryParser(Version.LUCENE_35,new String[] {"TITLE"}, new StandardAnalyzer(Version.LUCENE_35));        
IndexReader reader = IndexReader.open(directory);
IndexSearcher searcher = new IndexSearcher(reader);       
queryParser.setPhraseSlop(0);
queryParser.setLowercaseExpandedTerms(true);
Query query = queryParser.parse("TITLE:Config migration from ASA5505 8.2 to ASA5516");
System.out.println(queryStr);
TopDocs topDocs = searcher.search(query,100);
System.out.println(topDocs.totalHits);
ScoreDoc[] hits = topDocs.scoreDocs;
System.out.println(hits.length + " Record(s) Found");
for (int i = 0; i < hits.length; i++) {
    int docId = hits[i].doc;
    Document d = searcher.doc(docId);
    System.out.println("\"Title :\" " +d.get("TITLE") );
}

但是返回

"Title :" Config migration from ASA5505 8.2 to ASA5516
"Title :" Firewall  migration from ASA5585 to  ASA5555
"Title :" Firewall  migration from ASA5585 to  ASA5555

预计不会获得第二个结果.因此，需要进行哪些修改才能匹配确切的文本从ASA5505 8.2迁移到ASA5516的配置

Second 2 results are not expected.So what modification required to match exact text Config migration from ASA5505 8.2 to ASA5516

我的索引功能看起来像这样

And my indexing function looks like this

public class Lucene {
public static final String INDEX_DIR = "./Lucene";
private static final String JDBC_DRIVER = "oracle.jdbc.OracleDriver";
private static final String CONNECTION_URL = "jdbc:oracle:thin:xxxxxxx"

private static final String USER_NAME = "localhost";
private static final String PASSWORD = "localhost";
private static final String QUERY = "select * from TITLE_TABLE";

public static void main(String[] args) throws Exception {
    File indexDir = new File(INDEX_DIR);
    Lucene indexer = new Lucene();
    try {
        Date start = new Date();
        Class.forName(JDBC_DRIVER).newInstance();
        Connection conn = DriverManager.getConnection(CONNECTION_URL, USER_NAME, PASSWORD);
        SimpleAnalyzer analyzer = new SimpleAnalyzer(Version.LUCENE_35);
        IndexWriterConfig indexWriterConfig = new IndexWriterConfig(Version.LUCENE_35, analyzer);
        IndexWriter indexWriter = new IndexWriter(FSDirectory.open(indexDir), indexWriterConfig);
        System.out.println("Indexing to directory '" + indexDir + "'...");
        int indexedDocumentCount = indexer.indexDocs(indexWriter, conn);
        indexWriter.close();
        System.out.println(indexedDocumentCount + " records have been indexed successfully");
        System.out.println("Total Time:" + (new Date().getTime() - start.getTime()) / (1000));
    } catch (Exception e) {
        e.printStackTrace();
    }
}

int indexDocs(IndexWriter writer, Connection conn) throws Exception {
    String sql = QUERY;
    Statement stmt = conn.createStatement();
    stmt.setFetchSize(100000);
    ResultSet rs = stmt.executeQuery(sql);
    int i = 0;
    while (rs.next()) {
        System.out.println("Addind Doc No:" + i);
        Document d = new Document();
        System.out.println(rs.getString("TITLE"));
        d.add(new Field("TITLE", rs.getString("TITLE"), Field.Store.YES, Field.Index.ANALYZED));
        d.add(new Field("NAME", rs.getString("NAME"), Field.Store.YES, Field.Index.ANALYZED));
        writer.addDocument(d);
        i++;
    }
    return i;
}
}

推荐答案

PVR是正确的，在这里使用短语查询可能是正确的解决方案，但是他们错过了如何使用PhraseQuery类.不过，您已经在使用QueryParser，因此只需使用查询解析器语法，将搜索文本括在引号中即可:

PVR is correct, that using a phrase query is probably the right solution here, but they missed on how to use the PhraseQuery class. You are already using QueryParser though, so just use the query parser syntax by enclosing you search text in quotes:

Query query = queryParser.parse("TITLE:\"Config migration from ASA5505 8.2 to ASA5516\"");

---

根据您的更新，您在索引时间和查询时间使用其他分析器. SimpleAnalyzer和StandardAnalyzer做的事情不同.除非您有很好的理由这样做，否则在建立索引和查询时应该以相同的方式进行分析.

---

Based on your update, you are using a different analyzer at index-time and query-time. SimpleAnalyzer and StandardAnalyzer don't do the same things. Unless you have a very good reason to do otherwise, you should analyze the same way when indexing and querying.

因此，将索引代码中的分析器更改为StandardAnalyzer(反之亦然，在查询时使用SimpleAnalyzer)，您应该会看到更好的结果.

So, change the analyzer in your indexing code to StandardAnalyzer (or vice-versa, use SimpleAnalyzer when querying), and you should see better results.

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