Lucene五分钟教程
更新:下面的代码使用Lucene 4.0版本!
Lucene大大简化了在应用中集成全文搜索的功能。但实际上Lucene十分简单,我可以在五分钟之内向你展示如何使用Lucene。
1. 建立索引
为了简单起见,我们下面为一些字符串创建内存索引:
1 2 3 4 5 6 7 8 9 10 11 | StandardAnalyzer analyzer = new StandardAnalyzer(Version.LUCENE_40); Directory index = new RAMDirectory(); IndexWriterConfig config = new IndexWriterConfig(Version.LUCENE_40, analyzer); IndexWriter w = new IndexWriter(index, config); addDoc(w, "Lucene in Action" , "193398817" ); addDoc(w, "Lucene for Dummies" , "55320055Z" ); addDoc(w, "Managing Gigabytes" , "55063554A" ); addDoc(w, "The Art of Computer Science" , "9900333X" ); w.close(); |
addDoc()方法把文档(译者注:这里的文档是Lucene中的Document类的实例)添加到索引中。
1 2 3 4 5 6 | private static void addDoc(IndexWriter w, String title, String isbn) throws IOException { Document doc = new Document(); doc.add( new TextField( "title" , title, Field.Store.YES)); doc.add( new StringField( "isbn" , isbn, Field.Store.YES)); w.addDocument(doc); } |
注意,对于需要分词的内容我们使用TextField,对于像id这样不需要分词的内容我们使用StringField。
2.搜索请求
我们从标准输入(stdin)中读入搜索请求,然后对它进行解析,最后创建一个Lucene中的Query对象。
1 2 | String querystr = args.length > 0 ? args[ 0 ] : "lucene" ; Query q = new QueryParser(Version.LUCENE_40, "title" , analyzer).parse(querystr); |
3.搜索
我们创建一个Searcher对象并且使用上面创建的Query对象来进行搜索,匹配到的前10个结果封装在TopScoreDocCollector对象里返回。
1 2 3 4 5 6 | int hitsPerPage = 10 ; IndexReader reader = IndexReader.open(index); IndexSearcher searcher = new IndexSearcher(reader); TopScoreDocCollector collector = TopScoreDocCollector.create(hitsPerPage, true ); searcher.search(q, collector); ScoreDoc[] hits = collector.topDocs().scoreDocs; |
4.展示
现在我们得到了搜索结果,我们需要想用户展示它。
1 2 3 4 5 6 | System.out.println( "Found " + hits.length + " hits." ); for ( int i= 0 ;i<hits.length;++i) { int docId = hits[i].doc; Document d = searcher.doc(docId); System.out.println((i + 1 ) + ". " + d.get( "isbn" ) + "\t" + d.get( "title" )); } |
这里是这个小应用的完整代码。下载HelloLucene.java。
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 | import org.apache.lucene.analysis.standard.StandardAnalyzer; import org.apache.lucene.document.Document; import org.apache.lucene.document.Field; import org.apache.lucene.document.StringField; import org.apache.lucene.document.TextField; import org.apache.lucene.index.DirectoryReader; import org.apache.lucene.index.IndexReader; import org.apache.lucene.index.IndexWriter; import org.apache.lucene.index.IndexWriterConfig; import org.apache.lucene.queryparser.classic.ParseException; import org.apache.lucene.queryparser.classic.QueryParser; import org.apache.lucene.search.IndexSearcher; import org.apache.lucene.search.Query; import org.apache.lucene.search.ScoreDoc; import org.apache.lucene.search.TopScoreDocCollector; import org.apache.lucene.store.Directory; import org.apache.lucene.store.RAMDirectory; import org.apache.lucene.util.Version; import java.io.IOException; public class HelloLucene { public static void main(String[] args) throws IOException, ParseException { // 0. Specify the analyzer for tokenizing text. // The same analyzer should be used for indexing and searching StandardAnalyzer analyzer = new StandardAnalyzer(Version.LUCENE_40); // 1. create the index Directory index = new RAMDirectory(); IndexWriterConfig config = new IndexWriterConfig(Version.LUCENE_40, analyzer); IndexWriter w = new IndexWriter(index, config); addDoc(w, "Lucene in Action" , "193398817" ); addDoc(w, "Lucene for Dummies" , "55320055Z" ); addDoc(w, "Managing Gigabytes" , "55063554A" ); addDoc(w, "The Art of Computer Science" , "9900333X" ); w.close(); // 2. query String querystr = args.length > 0 ? args[ 0 ] : "lucene" ; // the "title" arg specifies the default field to use // when no field is explicitly specified in the query. Query q = new QueryParser(Version.LUCENE_40, "title" , analyzer).parse(querystr); // 3. search int hitsPerPage = 10 ; IndexReader reader = DirectoryReader.open(index); IndexSearcher searcher = new IndexSearcher(reader); TopScoreDocCollector collector = TopScoreDocCollector.create(hitsPerPage, true ); searcher.search(q, collector); ScoreDoc[] hits = collector.topDocs().scoreDocs; // 4. display results System.out.println( "Found " + hits.length + " hits." ); for ( int i= 0 ;i<hits.length;++i) { int docId = hits[i].doc; Document d = searcher.doc(docId); System.out.println((i + 1 ) + ". " + d.get( "isbn" ) + "\t" + d.get( "title" )); } // reader can only be closed when there // is no need to access the documents any more. reader.close(); } private static void addDoc(IndexWriter w, String title, String isbn) throws IOException { Document doc = new Document(); doc.add( new TextField( "title" , title, Field.Store.YES)); // use a string field for isbn because we don't want it tokenized doc.add( new StringField( "isbn" , isbn, Field.Store.YES)); w.addDocument(doc); } } |
可以直接在命令行中使用这个小应用,键入java HelloLucene 。
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