具有多个字段的Lucene Queryparser

时间:2015-09-18 08:40:28

标签: lucene query-parser

我使用Lucene 5.3并尝试使用queryparser-syntax搜索多个字段。我在Lucene Tutorials中找到了一个简短的例子,并将其修改为5.3版并搜索这些字段。

package lucenewriterexample;

import org.apache.lucene.analysis.standard.StandardAnalyzer;
import org.apache.lucene.document.Document;
import org.apache.lucene.document.Field;
import org.apache.lucene.document.StringField;
import org.apache.lucene.document.TextField;
import org.apache.lucene.index.DirectoryReader;
import org.apache.lucene.index.IndexReader;
import org.apache.lucene.index.IndexWriter;
import org.apache.lucene.index.IndexWriterConfig;
import org.apache.lucene.queryparser.classic.ParseException;
import org.apache.lucene.queryparser.classic.QueryParser;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.Query;
import org.apache.lucene.search.ScoreDoc;
import org.apache.lucene.search.TopScoreDocCollector;
import org.apache.lucene.store.Directory;
import org.apache.lucene.store.RAMDirectory;

import java.io.IOException;

public class LuceneWriterExample {


    public static void main(String[] args) throws IOException, ParseException {
        StandardAnalyzer analyzer = new StandardAnalyzer();
        Directory index = new RAMDirectory();
        IndexWriterConfig config = new IndexWriterConfig(analyzer);
        try (IndexWriter writer = new IndexWriter(index, config)) {
            addDoc(writer, "Day first : Lucence Introduction test.", "3436NRX");
            addDoc(writer, "Day second , part one : Lucence Projects.", "3437RJ1");
            addDoc(writer, "Day second , part two: Lucence Uses testing rr.", "3437RJ2");
            addDoc(writer, "Day third : Lucence Demos.", "34338KRX");
        }

        String querystr = "title:(part) AND course_code:(3437RJ1)";
        Query q = new QueryParser("title", analyzer).parse(querystr);

        // 3. searching
        int hitsPerPage = 10;
        IndexReader reader = DirectoryReader.open(index);
        IndexSearcher searcher = new IndexSearcher(reader);
        TopScoreDocCollector collector = TopScoreDocCollector.create(hitsPerPage);
        searcher.search(q, collector);
        ScoreDoc[] hits = collector.topDocs().scoreDocs;

        // 4. display results
        System.out.println("Query string: " + querystr );
        System.out.println("Found " + hits.length + " hits.");        
        for (int i = 0; i < hits.length; ++i) {
            int docId = hits[i].doc;
            Document d = searcher.doc(docId);
            System.out.println((i + 1) + ". " + d.get("course_code") + "\t" + d.get("title"));
        }

        // Finally , close reader
    }

    private static void addDoc(IndexWriter w, String title, String courseCode) throws IOException {
        Document doc = new Document();
        doc.add(new TextField  ("title",       title,      Field.Store.YES));
        doc.add(new StringField("course_code", courseCode, Field.Store.YES));
        w.addDocument(doc);
    }

queryparser正在为“title:part”工作,然后我得到所有包含“part”的文档,但如果我使用“title :( part)AND course_code:(3437RJ1)”或“title :( part)OR course_code :(3436NRX)结果为0。 搜索中的错误在哪里?

1 个答案:

答案 0 :(得分:0)

我跑了这个并试了title:(part) OR course_code:(3436NRX),我得到了2个结果,正如我所料。也许你的意思是你期望第三个结果匹配course_code,但没有得到它。如果您真的意味着您的查询实际上得到了结果,我不确定问题是什么。

那么,为什么你不能在course_code上获得匹配?

与lucene一样常见的情况是,您的分析仪不匹配。您的queryparser正在使用StandardAnalyzer,但course_code是StringField,因此根本没有进行分析。 StandardAnalyzer包含一个小写所有内容的过滤器,因此最终结果是您有一个3436NRX字段和course_code:3436nrx的查询。

可能的解决方案是:

  • 使用TermQuery代替StringField
  • 的查询解析器
  • 在将course_code传递给lucene
  • 之前自己小写
  • 将course_code设为TextField