package com; import java.io.File; import java.io.IOException; import java.util.HashMap; import java.util.Map; import org.wltea.analyzer.lucene.IKAnalyzer; import org.wltea.analyzer.lucene.IKQueryParser; import org.wltea.analyzer.lucene.IKSimilarity; public class Search { public static void main(String[] args) throws Exception { String fieldName = "discript"; String keyword = "人民"; /*Query IkQuery = searchIKQuery(fieldName, keyword); executeQuery(fieldName, keyword,IkQuery);*/ BooleanQuery booleanQuery = searchBooleanQuery(keyword); executeQuery(fieldName, booleanQuery); } public static BooleanQuery searchBooleanQuery( String keyword) throws Exception { BooleanQuery bq = new BooleanQuery(); Analyzer analyzer = new IKAnalyzer(); String[] fn = {"name"}; // 增加权重 Map<String, Float> filedmap = new HashMap(); filedmap.put("name", 50f); MultiFieldQueryParser multField = new MultiFieldQueryParser(Version.LUCENE_30, fn, analyzer, filedmap); Query muquery = multField.parse(keyword); Query ikquery = IKQueryParser.parseMultiField(fn,keyword); Term term1 = new Term("discript",keyword); TermQuery tq = new TermQuery(term1); bq.add(tq,BooleanClause.Occur.MUST); bq.add(muquery, BooleanClause.Occur.SHOULD); //bq.add(ikquery, BooleanClause.Occur.MUST); System.out.println(bq); return bq; } public static Query searchIKQuery(String fieldName, String keyword) throws IOException{ // 使用IKQueryParser查询分析器构造Query对象 Query query = IKQueryParser.parse(fieldName, keyword); return query; } public static IndexSearcher createSeacher() throws Exception { IndexSearcher isearcher = null; Directory directory = null; File file = new File("C:/commFile/lucence"); directory = FSDirectory.open(file); // 实例化搜索器 isearcher = new IndexSearcher(directory); // 在索引器中使用IKSimilarity相似度评估器 isearcher.setSimilarity(new IKSimilarity()); if (directory != null) { directory.close(); } return isearcher; } public static void executeQuery(String fieldName,Query query)throws Exception { // 实例化IKAnalyzer分词器 Analyzer analyzer = new IKAnalyzer(); IndexSearcher isearcher = createSeacher(); try { Sort sort = new Sort(); // 按字段的排序(一个或多个) SortField[] f = { new SortField("name", SortField.STRING, false) }; sort.setSort(f); // 搜索相似度最高的10条记录 //TopDocs topDocs = isearcher.search(query, null, 10, sort); TopDocs topDocs = isearcher.search(query, 10); // 关键字高亮显示 Formatter formatter = new SimpleHTMLFormatter("<font color=\"red\">", "</font>"); // 前缀和后缀 Scorer scorer = new QueryScorer(query); Highlighter highlighter = new Highlighter(formatter, scorer); highlighter.setTextFragmenter(new SimpleFragmenter(200)); // 字长度 System.out.println("命中文章的篇数:" + topDocs.totalHits); // 输出结果 ScoreDoc[] scoreDocs = topDocs.scoreDocs; for (int i = 0; i < topDocs.totalHits; i++) { int docId =scoreDocs[i].doc; Document targetDoc = isearcher.doc(docId); System.out.println("内容:" + targetDoc.get(fieldName)+"===="+targetDoc.get("name"));//输出相应字段的内容 String hupName = highlighter.getBestFragment(analyzer,fieldName,targetDoc.get(fieldName)); //System.out.println(hupName); } } catch (Exception e) { e.printStackTrace(); } finally { if (analyzer != null) { analyzer.close(); } if (isearcher != null) { isearcher.close(); } } } }