public Map<String,Object> articleSearchAlgorithms(SearchCondition condition,IndexSearcher searcher) throws ParseException, IOException{
Map<String,Object> map =new HashMap<String,Object>();
String[] filedsList=condition.getFiledsList();
String keyWord=condition.getKeyWord();
int currentPage=condition.getCurrentPage();
int pageSize=condition.getPageSize();
String sortField=condition.getSortField();
boolean isASC=condition.isDESC();
String sDate=condition.getsDate();
String eDate=condition.geteDate();
String classify=condition.getClassify();
//过滤终结字符
keyWord=escapeExprSpecialWord(keyWord);
BooleanQuery q1 = new BooleanQuery();
BooleanQuery q2 = new BooleanQuery();
BooleanQuery booleanQuery = new BooleanQuery(); //boolean查询
if(classify!=null&&(classify.equals("guanzhi")||classify.equals("opinion")||classify.equals("write"))){
String typeId="1";//默认言论
if(classify.equals("guanzhi")){
typeId="2";
}
if(classify.equals("opinion")){
typeId="3";
}
Query termQuery = new TermQuery(new Term("typeId",typeId));
q1.add(termQuery,BooleanClause.Occur.MUST);
}
if(sDate!=null&&eDate!=null){//是否范围查询由这两个参数决定
Query rangeQuery = new TermRangeQuery("writingTime", new BytesRef(sDate), new BytesRef(eDate),true, true);
q1.add(rangeQuery,BooleanClause.Occur.MUST);
}
Sort sort = new Sort(); // 排序
sort.setSort(SortField.FIELD_SCORE);
if(sortField!=null){
sort.setSort(new SortField(sortField, SortField.Type.STRING, isASC));
}
int start = (currentPage - 1) * pageSize;
int hm = start + pageSize;
TopFieldCollector res = TopFieldCollector.create(sort,hm,false, false, false, false);
//完全匹配查询
Term t0=new Term(filedsList[1],keyWord);
TermQuery termQuery = new TermQuery(t0);//两种高度匹配的查询
q2.add(termQuery,BooleanClause.Occur.SHOULD);
//前缀匹配
Term t1=new Term(filedsList[1],keyWord);
PrefixQuery prefixQuery=new PrefixQuery(t1);
q2.add(prefixQuery,BooleanClause.Occur.SHOULD);
//短语，相似度匹配，适用于分词的内容
for(int i=0;i<filedsList.length;i++){ //多字段term查询算法
if(i!=1){
PhraseQuery phraseQuery=new PhraseQuery();
Term ts0=new Term(filedsList[i],keyWord);
phraseQuery.add(ts0);
FuzzyQuery fQuery=new FuzzyQuery(new Term(filedsList[i],keyWord),2);//最后相似度查询
q2.add(phraseQuery,BooleanClause.Occur.SHOULD);
q2.add(fQuery,BooleanClause.Occur.SHOULD);//后缀相似的拿出来
}
}
MultiFieldQueryParser queryParser = new MultiFieldQueryParser(Version.LUCENE_47,filedsList,analyzer);
queryParser.setDefaultOperator(QueryParser.AND_OPERATOR);
Query query = queryParser.parse(keyWord);
q2.add(query,BooleanClause.Occur.SHOULD);
//必须加逻辑判断，否则结果是不同的
if(q1!=null && q1.toString().length()>0){
booleanQuery.add(q1,BooleanClause.Occur.MUST);
}
if(q2!=null && q2.toString().length()>0){
booleanQuery.add(q2,BooleanClause.Occur.MUST);
}
searcher.search(booleanQuery, res);
long amount = res.getTotalHits();
TopDocs tds = res.topDocs(start, pageSize);
map.put("amount",amount);
map.put("tds",tds);
map.put("query",booleanQuery);
return map;
}注意下：上面代码的搜索条件（SearchCondition ）是观点网的具体需求，您可以按照您自己的搜索条件做改动，这里也很难适配所有读者。
public Map<String, Object> searchArticle(SearchCondition condition) throws Exception{
Map<String,Object> map =new HashMap<String,Object>();
List<Write> list=new ArrayList<Write>();
DirectoryReader reader=condition.getReader();
String URL=condition.getURL();
boolean isHighligth=condition.isHighlight();
String keyWord=condition.getKeyWord();
IndexSearcher searcher=getSearcher(reader,URL);
try{
Map<String,Object> output=articleSearchAlgorithms(condition,searcher);
if(output==null){
map.put("amount",0L);
map.put("source",null);
return map;
}
map.put("amount", output.get("amount"));
TopDocs tds = (TopDocs) output.get("tds");
ScoreDoc[] sd = tds.scoreDocs;
Query query =(Query) output.get("query");
for (int i = 0; i < sd.length; i++) {
Document doc = searcher.doc(sd[i].doc);
String id = doc.get("id");
/**********************start*************************需要处理的放一块儿********************/
String temp=doc.get("title");
String title =temp; //默认不高亮
if(isHighligth){
//高亮文章标题
Highlighter highlighterTitle = new Highlighter(simpleHTMLFormatter, new QueryScorer(query));
highlighterTitle.setTextFragmenter(new SimpleFragmenter(40)); // 字长度
TokenStream ts = analyzer.tokenStream("title", new StringReader(temp));
title= highlighterTitle.getBestFragment(ts,temp);
if(title==null){
title=temp.replace(keyWord,"<span style='color:red'>"+keyWord+"</span>");//高亮处理插件bug，加这句话避免
}
}
String temp1=HtmlEnDecode.htmlEncode(doc.get("content"));
String content=temp1;//使用自己封装的方法来转义
if(isHighligth){
//做高亮处理,content
Highlighter highlighterContent = new Highlighter(simpleHTMLFormatter, new QueryScorer(query));
highlighterContent.setTextFragmenter(new SimpleFragmenter(Constant.HIGHLIGHT_CONTENT_LENGTH)); // 字长度
//temp1=StringEscapeUtils.escapeHtml(temp1);//将汉字转义导致高亮失效
TokenStream ts1 = analyzer.tokenStream("content", new StringReader(temp1));
content = highlighterContent.getBestFragment(ts1,temp1);
if(content==null){
content=temp1.replace(keyWord,"<span style='color:red'>"+keyWord+"</span>");//高亮处理插件bug，加这句话避免
//假设遇上这种情况做处理，其他的高亮器会自动截图
content=subContent(content);//截取处理
content=HtmlEnDecode.htmldecode(content);//html解码
content=SubStringHTML.sub(content,Constant.HIGHLIGHT_CONTENT_LENGTH);
}
}
/*---------------------------------------不断变动的数据放一块儿----------------------------*/
Write write=writeDao.getArticle(Long.parseLong(id));
if(write!=null){
write.setTitle(title);
write.setContent(content);
Date writingTime=write.getWritingTime();
String timeGap=DateUtil.dateGap(writingTime);//timeGap
write.setTimeGap(timeGap);
list.add(write);
}
}
}catch(Exception e){
e.printStackTrace();
}
map.put("source",list);
return map;
}注意上面，这是具体的搜索代码，不同的应用场景有不同的需求，请您按照自己的需求封装对象，查询数据库等，代码毫无保留，绝对可用。
如果有什么疑问可以加qq群：284205104 如果群满了就麻烦去趟去转盘找下最新的群加了即可，谢谢您的阅读。
原文地址：http://blog.51cto.com/5912119/2051938
