Lucene多字段查询&高亮显示

在百度搜索的时候，查询的关键词会高亮显示

在搜索一个关键词的时候，有可能这个关键词在title和content中，搜索的时候要把结果全部显示出来

实例说明

package com.bart.lucene.mutilseacher;

import java.util.ArrayList;
import java.util.List;
import org.apache.lucene.document.Document;
import org.apache.lucene.index.IndexWriter;
import org.apache.lucene.queryParser.MultiFieldQueryParser;
import org.apache.lucene.queryParser.QueryParser;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.Query;
import org.apache.lucene.search.ScoreDoc;
import org.apache.lucene.search.TopDocs;
import org.apache.lucene.search.highlight.Formatter;
import org.apache.lucene.search.highlight.Highlighter;
import org.apache.lucene.search.highlight.QueryScorer;
import org.apache.lucene.search.highlight.Scorer;
import org.apache.lucene.search.highlight.SimpleHTMLFormatter;
import org.junit.Test;
import com.bart.lucene.entity.Article;
import com.bart.lucene.util.LuceneUtils;

/**
* Article多条件搜索加高亮显示
* @author hp
*/
public class ArticleDao {

/**
* 高亮显示
* 查询索引库中所有的记录
* @throws Exception
*/
@Test
public void findAll() throws Exception{
String keyword = "显卡";
List<Article>articleList = new ArrayList<Article>();
IndexSearcher indexSearcher = new  IndexSearcher(LuceneUtils.getDirectory());
//默认之搜索一个字段，单条件搜索
//QueryParser queryParser = new QueryParser(LuceneUtils.getVersion(),"content",LuceneUtils.getAnalyzer());
//搜索多个字段，多条件搜索
QueryParser queryParser2 = new MultiFieldQueryParser(LuceneUtils.getVersion(),new String[]{"title","content"},LuceneUtils.getAnalyzer());

//Query query = queryParser.parse(keyword);
Query query = queryParser2.parse(keyword);
TopDocs topDocs = indexSearcher.search(query,100);

//以下代码对查询结果进行高亮显示
// 1.格式化对象，设置前缀和后缀
Formatter formatter = new SimpleHTMLFormatter("<font color='red'>","</font>");
// 2.关键词对象
Scorer scorer = new QueryScorer(query);
// 3. 高亮对象
Highlighter highlighter = new Highlighter(formatter, scorer);

for(int i=0;i<topDocs.scoreDocs.length;i++){
ScoreDoc scoreDoc = topDocs.scoreDocs[i];
int no = scoreDoc.doc;

//关键词没有高亮
Document document = indexSearcher.doc(no);

// 1. 关键词添加高亮
String titleHighLight  = highlighter.getBestFragment(LuceneUtils.getAnalyzer(),"title",document.get("title"));
String contentHighLight  = highlighter.getBestFragment(LuceneUtils.getAnalyzer(),"content",document.get("content"));
// 2. 将高亮的结果再次封装到document对象中
document.getField("title").setValue(titleHighLight);
document.getField("content").setValue(contentHighLight);

Article article = LuceneUtils.document2JavaBean(document,Article.class);
articleList.add(article);
}

//遍历
for(Article a : articleList){
System.out.println(a);
}
}

/**
* 增加document对象到对象索引库中
* @throws Exception
*/
@Test
public void testCreate() throws Exception{
Article article = new Article(1,"显卡","显卡是电脑的核心部件",10);
Document document = LuceneUtils.javaBean2Document(article);
IndexWriter indexWriter = new IndexWriter(LuceneUtils.getDirectory(), LuceneUtils.getAnalyzer(), LuceneUtils.getMaxFieldLength());
indexWriter.addDocument(document);
//设置当插入三条记录的时候合并到同一条记录，默认是10个缓存就合并索引的cfs文件
indexWriter.setMergeFactor(3);
//        //合并记录，不管插入多少条
//        indexWriter.optimize();
indexWriter.close();
}

}

输出结果：

Article [id=1, title=显卡, content=显卡是电脑的核心部件, count=10]