lucene查询一个字段模糊，另一个字段精确

Question

问题：

我已经在lucene索引中索引了NGA Geonames地名录。我需要模糊查询一个字段（地名），但将查询限制为具有特定国家代码的记录。下面是我正在运行的一个示例查询
我没有使用SOLR，我已经做了大量的研究和尝试，但我没有明确的答案，可能是我的速度太慢了。

FULL_NAME_ND_RO:india AND CC1:in 

我想对印度进行模糊搜索，但我只想要与“in”（国家代码）完全匹配的记录

Here is what I've tried:
1. Index every field as a textfield and boost the country code field using ^N. Still returns different country codes, and the one boosted does not always come first...
2. Index every field as text EXCEPT the country code, which I indexed as StringField. This way I get no results at all.

public void index(File outputIndexDir, File gazateerInputData, GazType type) throws Exception {
    if (!outputIndexDir.isDirectory()) {
      throw new IllegalArgumentException("outputIndexDir must be a directory.");
    }

    String indexloc = outputIndexDir + type.toString();
    Directory index = new MMapDirectory(new File(indexloc));

    Analyzer a = new StandardAnalyzer(Version.LUCENE_45);
    IndexWriterConfig config = new IndexWriterConfig(Version.LUCENE_45, a);

    IndexWriter w = new IndexWriter(index, config);

    readFile(gazateerInputData, w, type);
    w.commit();
    w.close();

  }

  public void readFile(File gazateerInputData, IndexWriter w, GazType type) throws Exception {
    BufferedReader reader = new BufferedReader(new FileReader(gazateerInputData));
    List<String> fields = new ArrayList<String>();
    int counter = 0;
    // int langCodeIndex = 0;
    System.out.println("reading gazateer data from file...........");
    while (reader.read() != -1) {
      String line = reader.readLine();
      String[] values = line.split(type.getSeparator());
      if (counter == 0) {
        for (String columnName : values) {
          fields.add(columnName.replace("»¿", "").trim());
        }

      } else {
        Document doc = new Document();
        for (int i = 0; i < fields.size() - 1; i++) {
          if (fields.get(i).equals("CC1")) {
            doc.add(new StringField(fields.get(i), values[i], Field.Store.YES));
          } else {
            doc.add(new TextField(fields.get(i), values[i], Field.Store.YES));
          }
        }

        w.addDocument(doc);

      }
      counter++;
      if (counter % 10000 == 0) {
        w.commit();
        System.out.println(counter + " .........committed to index..............");
      }

    }
    w.commit();
    System.out.println("Completed indexing gaz! index name is: " + type.toString());
  }

QueryParser parser = new QueryParser(Version.LUCENE_45, luceneQueryString, geonamesAnalyzer);
  Query q = parser.parse(luceneQueryString);

  TopDocs search = geonamesSearcher.search(q, rowsReturned);

Answer 1

最简单的答案似乎是使用适当的查询语法运行模糊查询，例如：

 FULL_NAME_ND_RO:india~ AND CC1:in

但是，如果需要以不同的方式分析每个字段，可以使用PerFieldAnalyzerWrapper进行分析

根据以下评论意见：

StandardAnalyzer(Version.LUCENE_45, new CharArraySet(Version.LUCENE_45, 0, true));

Map<String,Analyzer> analyzerPerField = new HashMap<String,Analyzer>();
analyzerPerField.put("CC1", new KeywordAnalyzer());

PerFieldAnalyzerWrapper aWrapper =
  new PerFieldAnalyzerWrapper(geonamesAnalyzer, analyzerPerField);

QueryParser parser = new QueryParser(Version.LUCENE_45, defaultField, aWrapper);