lucene常用搜索例子

1. public class Test{   
2.        
3.      Analyzer analyzer = new StandardAnalyzer();   
4.        
5.      RAMDirectory directory = new RAMDirectory();   
6.        
7.     /**
8.       * 创建索引
9.       *
10.       * @throws IOException
11.       */  
12.     public void index() throws IOException{   
13.            
14.          IndexWriter indexWriter = new IndexWriter(directory,analyzer,true);   
15.            
16.          Document doc1 = new Document();   
17.            
18.          doc1.add(new Field("title","aaabbb",Store.YES,Index.TOKENIZED));   
19.            
20.          doc1.add(new Field("content","If you would like to help promote OpenOffice",Store.YES,Index.TOKENIZED));   
21.            
22.          doc1.add(new Field("time","2005",Store.YES,Index.TOKENIZED));   
23.            
24.          indexWriter.addDocument(doc1);   
25.            
26.          Document doc2 = new Document();   
27.            
28.          doc2.add(new Field("title","bbcc",Store.YES,Index.TOKENIZED));   
29.            
30.          doc2.add(new Field("content","sdfsdfsdfasdds",Store.YES,Index.TOKENIZED));   
31.            
32.          doc2.add(new Field("time","2007",Store.YES,Index.TOKENIZED));   
33.            
34.          indexWriter.addDocument(doc2);   
35.            
36.          indexWriter.optimize();   
37.            
38.          indexWriter.close();   
39.      }   
40.        
41.     // 按词条搜索   
42.     public void termSearcher() throws IOException{   
43.            
44.          IndexSearcher searcher = new IndexSearcher(directory);   
45.            
46.         // 查询title中包含aaa   
47.          Term term = new Term("title","aaa");   
48.            
49.          Query query = new TermQuery(term);   
50.            
51.          searcher.search(query);   
52.        
53.          searcher.close();   
54.      }   
55.   
56.     // 短语搜索   
57.     public void phraseSearcher() throws IOException{   
58.            
59.          IndexSearcher searcher = new IndexSearcher(directory);   
60.            
61.          PhraseQuery phraseQuery = new PhraseQuery();   
62.            
63.         // slop 两个项的位置之间允许的最大间隔,这里would和help中间只隔了like(to会被去掉),所以最大间隔设为1就能找到值   
64.         // 对于两个相连的关键词来说,无论坡度设为多少,都可以找到   
65.         // 对于不相连的词来说,当两个关键词相隔数小于坡度都可以找到,否则找不到   
66.          phraseQuery.setSlop(1);   
67.            
68.          phraseQuery.add(new Term("content","would"));   
69.            
70.          phraseQuery.add(new Term("content","help"));   
71.            
72.         // 如果将help放前面,would放后面,需要将would向后移动3个位置才能到help后面(to不算),所以要设为slop最少要设为3   
73.         // phraseQuery.add(new Term("content","help"));   
74.            
75.         // phraseQuery.add(new Term("content","would"));   
76.            
77.         // phraseQuery.setSlop(3);   
78.            
79.         // 短语的评分是根据项之间距离越小,评分越高,否则越小   
80.          Hits hits =   searcher.search(phraseQuery);   
81.            
82.          printResult(hits);   
83.            
84.          searcher.close();   
85.      }   
86.        
87.     // 通配符搜索 WildcardQuery      
88.     // 通配符包括’?’匹配一个任意字符和’*’匹配零个或多个任意字符，例如你搜索’use*’，你可能找到’user’或者’uses’：      
89.     public void wildcardSearcher() throws IOException{   
90.            
91.              IndexSearcher searcher = new IndexSearcher(directory);   
92.                
93.             // 与正则一样,*代表0个或多个字母,?代表0个或一个字母   
94.             // WildcardQuery与QueryParser不同的是:WildcardQuery的前缀可以为*,而QueryParser不行   
95.              WildcardQuery query = new WildcardQuery(new Term("content","a?bbb*"));   
96.                
97.              Hits hits = searcher.search(query);   
98.                
99.              printResult(hits);   
100.                
101.              searcher.close();   
102.      }   
103.        
104.     // 模糊搜索 FuzzyQuery   
105.     public void fuzzySearcher() throws IOException{   
106.                
107.              IndexSearcher search = new IndexSearcher(directory);   
108.                
109.             // OpenOffica虽然没被索引,但能找到相近的OpenOffice   
110.              FuzzyQuery query = new FuzzyQuery(new Term("content","OpenOffica"));   
111.                
112.              Hits hits = search.search(query);   
113.                
114.              printResult(hits);   
115.                
116.              search.close();   
117.      }   
118.        
119.     // 使用前缀PrefixQuery   
120.     public void prefixSearcher() throws IOException{   
121.            
122.              IndexSearcher search = new IndexSearcher(directory);   
123.                
124.             // 全部title前缀为a   
125.              PrefixQuery query = new PrefixQuery(new Term("title","b"));   
126.                
127.              Hits hits = search.search(query);   
128.                
129.              printResult(hits);   
130.                
131.              search.close();   
132.                
133.      }   
134.   
135.     // 范围搜索 RangeQuery   
136.     public void rangeSearcher() throws IOException{   
137.            
138.          IndexSearcher search = new IndexSearcher(directory);   
139.            
140.         // RangeQuery query = new RangeQuery(beginTime, endTime, false);   
141.         // 开始时间,结束时间,最后一个参数表示是否包含边界条件本身,如果为false   
142.          RangeQuery query = new RangeQuery(new Term("time","2005"),new Term("time","2007"),true);   
143.            
144.          Hits hits = search.search(query);   
145.            
146.          printResult(hits);   
147.            
148.          search.close();   
149.      }   
150.        
151.        
152.     // 与或搜索BooleanQuery   
153.     //BooleanClause用于表示布尔查询子句关系的类，包括：BooleanClause.Occur.MUST，BooleanClause.Occur.MUST_NOT，BooleanClause.Occur.SHOULD。有以下6种组合：   
154.   
155.     //1．MUST和MUST：取得连个查询子句的交集。   
156.   
157.     //2．MUST和MUST_NOT：表示查询结果中不能包含MUST_NOT所对应得查询子句的检索结果。   
158.   
159.     //3．MUST_NOT和MUST_NOT：无意义，检索无结果。   
160.   
161.     //4．SHOULD与MUST、SHOULD与MUST_NOT：SHOULD与MUST连用时，无意义，结果为MUST子句的检索结果。与MUST_NOT连用时，功能同MUST。   
162.   
163.     //5．SHOULD与SHOULD：表示“或”关系，最终检索结果为所有检索子句的并集。   
164.   
165.     public void booleanSearcher() throws IOException, ParseException{   
166.            
167.          IndexSearcher search = new IndexSearcher(directory);   
168.            
169.          QueryParser qp1 = new QueryParser("title",new StandardAnalyzer());   
170.                
171.          Query query1 = qp1.parse("aa*");   
172.                
173.          QueryParser qp2 = new QueryParser("title",new StandardAnalyzer());   
174.                
175.          Query query2 = qp2.parse("bb*");   
176.                
177.          BooleanQuery query = new BooleanQuery();   
178.                
179.         // 搜索结果的title的前双缀可以是aa,或bb   
180.          query.add(query1, BooleanClause.Occur.SHOULD);   
181.                
182.         // BooleanClause.Occur.MUST 必须   
183.         // BooleanClause.Occur.MUST_NOT 必须不是   
184.          query.add(query2, BooleanClause.Occur.SHOULD);   
185.            
186.          Hits hits = search.search(query);   
187.                
188.          printResult(hits);   
189.            
190.          search.close();   
191.            
192.      }   
193.        
194.   
195.     // 多关键的搜索 PhrasePrefixQuery   
196.     public void phrasePrefixSearcher() throws IOException{   
197.            
198.          IndexSearcher search = new IndexSearcher(directory);   
199.            
200.          PhrasePrefixQuery query = new PhrasePrefixQuery();   
201.            
202.         // 这里两项都有可能首先被匹配   
203.          query.add(new Term[]{new Term("content","would"),new Term("content","can")});   
204.            
205.         // 只有一项必须匹配   
206.          query.add(new Term("content","help"));   
207.            
208.         // If you would like to help promote OpenOffice   
209.         // can I help you   
210.         // slop因子的作用域为查询中的所有短语   
211.          query.setSlop(1);   
212.            
213.         // 匹配第一项为 would 或 can 第二项为help   
214.         // solp设置为1   
215.         // If you would like to help promote OpenOffice   除去if to 外,would与help的距离=1   
216.         // can I help you 的距离也=1   所以可以搜索出两条数据   
217.            
218.          Hits hits = search.search(query);   
219.            
220.          printResult(hits);   
221.            
222.          search.close();   
223.      }   
224.        
225.     // 在多个域上查询 MultiFieldQueryParser   
226.     public void multiFieldSearcher() throws IOException, ParseException{   
227.            
228.          IndexSearcher search = new IndexSearcher(directory);   
229.            
230.         // 默认情况下的方式为Occur.SHOULD   
231.         // titile可以匹配bb,content可以匹配you   
232. //       MultiFieldQueryParser.parse(new String[]{"bb","you"},new String[]{"title","content"}, analyzer);   
233.            
234.         // titile必须匹配bb,content不能匹配   
235.          Query query = MultiFieldQueryParser.parse( new String[]{"bb","you"},new String[]{"title","content"},new BooleanClause.Occur[]{Occur.MUST,Occur.MUST_NOT}, analyzer);   
236.            
237.         // title中必须包含bb   content不能有bb   
238.         // Query query = MultiFieldQueryParser.parse( "bb*",new String[]{"title","content"},new BooleanClause.Occur[]{BooleanClause.Occur.MUST,BooleanClause.Occur.MUST_NOT}, analyzer);   
239.            
240.          Hits hits = search.search(query);   
241.            
242.          printResult(hits);   
243.            
244.          search.close();   
245.      }   
246.        
247.     public void printResult(Hits hits) throws IOException{   
248.         for(int i = 0; i < hits.length(); i++){   
249.              Document d = hits.doc(i);   
250.              System.out.println(d.get("title"));   
251.              System.out.println(d.get("content"));   
252.              System.out.println(d.get("time"));   
253.          }   
254.      }   
255.        
256.        
257. }