日期:2014-05-18  浏览次数:20793 次

Lucene 为数据库建全文索引,之前的子查询,现在怎么实现?
以前用数据的like,但数据量越来越大,性能越来越差,最近,打算用lucene,但之前有这样的语句
select *
from company
where audit=1
and
(
(vip=0 and profile like '%关键字%')
or
(vip=1 and id in (select co_id
from tradeleads
where title like '%关键字%' or content like '%关键字%')
)
)

请问怎么用lucene实现这样的查询啊
请说明实现的步骤,如果有代码昜好!

------解决方案--------------------
没有子查询这种概念,执行2次lucene搜索吧
------解决方案--------------------
Lucene中有AND 或 OR 的查询。

贴一个查询类给你,希望对你有帮助。

Java code
public class SearchServiceImpl implements SearchService{

    private String index_Path;
    
    private final int HITS_PER_PAGE=10;
    
    public List search(String q,int start) throws IOException {
        try {
            List<Content> searchList = new ArrayList<Content>();
            IndexSearcher searcher = new IndexSearcher(index_Path);   
            Analyzer analyzer = new MMAnalyzer(2);
            //布爾查找
            BooleanQuery booleanQuery = new BooleanQuery();           
            
            QueryParser parser = new QueryParser("Content",analyzer);
            Query query = parser.parse(q);            
            booleanQuery.add(query,Occur.SHOULD);
            
            QueryParser parser2 = new QueryParser("Title",analyzer);
            Query query2 = parser2.parse(q);
            booleanQuery.add(query2,Occur.SHOULD);
            
            //排序
            //Sort sort = new Sort();
            //SortField sf = new SortField("ContentId",SortField.INT, true);//降序,false為升序
            //sort.setSort(sf);
            
            //Hits hits = searcher.search(booleanQuery , sort);//按上面的設置來排序
            long timeStart = System.currentTimeMillis();
            Hits hits = searcher.search(booleanQuery , Sort.RELEVANCE);//按得分來排序
            
            SimpleHTMLFormatter sHtmlF = new SimpleHTMLFormatter("<font color=#c60a00>","</font>");
            Highlighter highlighter =   new Highlighter(sHtmlF,new QueryScorer(booleanQuery));
            highlighter.setTextFragmenter(new SimpleFragmenter(40));
            
            
            long timeUsed = System.currentTimeMillis() - timeStart;
            //logger.info("get resultset successfully! (" + timeUsed
            //            + " milliseconds used)"
            //           );
            int end =0;
            if((start ==0 ) || (start==1)){
                start = 0;
                end = Math.min(hits.length(), HITS_PER_PAGE);
            }else{
                int page = start;
                start = (start-1)*HITS_PER_PAGE;
                end = Math.min(hits.length(), page*HITS_PER_PAGE);
            }
            
            //for (; start < hits.length(); start += HITS_PER_PAGE ) {
                //int end = Math.min(hits.length(), start + HITS_PER_PAGE);               
            
                for (int i = start; i < end; i++) {
                    
                    Content bean = new Content();                    
                    //System.out.print("score=" + hits.score(i) + "\t");
                    bean.setDocsID(hits.id(i));                    
                    bean.setHits_per_page(HITS_PER_PAGE);
                    bean.setTotal(hits.length());
                    bean.setScore(String.valueOf(hits.score(i)));
                    bean.setTimeUsed(String.valueOf(timeUsed));
                    //System.out.println(bean.getTotal());
                    
                    Enumeration e = hits.doc(i).fields();
                    while (e.hasMoreElements()) {