lucene3.0+版本中文分词测试+搜索结果+创建索引测试

import java.io.File;
import java.io.IOException;
import java.io.StringReader;
import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.TokenStream;
import org.apache.lucene.analysis.tokenattributes.TermAttribute;
import org.apache.lucene.document.Document;
import org.apache.lucene.document.Field;
import org.apache.lucene.document.Field.Index;
import org.apache.lucene.document.Field.Store;
import org.apache.lucene.index.CorruptIndexException;
import org.apache.lucene.index.IndexWriter;
import org.apache.lucene.index.IndexWriter.MaxFieldLength;
import org.apache.lucene.queryParser.ParseException;
import org.apache.lucene.queryParser.QueryParser;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.Query;
import org.apache.lucene.search.ScoreDoc;
import org.apache.lucene.search.TopDocs;
import org.apache.lucene.search.highlight.Highlighter;
import org.apache.lucene.search.highlight.InvalidTokenOffsetsException;
import org.apache.lucene.search.highlight.QueryScorer;
import org.apache.lucene.search.highlight.SimpleFragmenter;
import org.apache.lucene.search.highlight.SimpleHTMLFormatter;
import org.apache.lucene.store.FSDirectory;
import org.apache.lucene.store.LockObtainFailedException;
import org.apache.lucene.util.Version;
import org.wltea.analyzer.lucene.IKAnalyzer;
public class AnalzyerTest {
/**
* lucene3.0开始已经抛弃了原来的分词方式，转而使用新的分词方式<br>
* 本方法以SmartChineseAnalyzer为例，演示如何分词以及取得分词之后的term
* http://blog.csdn.net/yjflinchong/article/details/7906116 * @throws Exception
*/
public static void analysis() throws Exception {
Analyzer analyzer = new IKAnalyzer();
String string = "据外媒报道，菲律宾国防部长加斯明9日称，多种新式战机、船只将于年内陆续交付军方，菲国防实力将得到大幅增强。但加斯明同时强调，此次军备采购与黄岩岛争端无关。";
StringReader reader = new StringReader(string);
TokenStream ts = analyzer.tokenStream("", reader);
TermAttribute termAttribute = ts.getAttribute(TermAttribute.class);
while (ts.incrementToken()) {
System.out.println(termAttribute.term() + "  ");
}
System.out.println();
}
/**
* 建索引
* 在构造IndexWriter时必须使用Directory作为参数了
*
* @throws CorruptIndexException
* @throws LockObtainFailedException
* @throws IOException
*/
private static void build() throws CorruptIndexException, LockObtainFailedException, IOException {
String path = "index";
IndexWriter writer = new IndexWriter(FSDirectory.open(new File(path)), new IKAnalyzer(), true, MaxFieldLength.LIMITED);
Document document = new Document();
document.add(new Field("text", "中国人民银行采取了一系列措施防止人民币升值，但是很遗憾，这些措施在今天看来其作用是微乎其微的。难道真的就没有什么别的措施防止人民币再次疯狂升值了吗？", Store.YES, Index.ANALYZED));
writer.addDocument(document);
writer.optimize();
writer.close();
}
/**
*
* @param keyword
* @throws CorruptIndexException
* @throws IOException
* @throws ParseException
* @throws InvalidTokenOffsetsException
*/
private static void search(String keyword) throws CorruptIndexException, IOException, ParseException, InvalidTokenOffsetsException {
Analyzer analyzer = new IKAnalyzer();
QueryParser parser = new QueryParser(Version.LUCENE_30, "text", analyzer);
IndexSearcher searcher = new IndexSearcher(FSDirectory.open(new File("index")));
Query query = parser.parse(keyword);
System.out.println(query);
TopDocs topDocs = searcher.search(query, 10);
ScoreDoc[] scoreDocs = topDocs.scoreDocs;
System.out.println("hits:" + topDocs.totalHits);
for (ScoreDoc scoreDoc : scoreDocs) {
Document doc = searcher.doc(scoreDoc.doc);
String text = doc.get("text");
System.out.println(highlight(text, query, analyzer));
}
}
/**
* 高亮关键词
* http://blog.csdn.net/yjflinchong/article/details/7906116 * @param content
*            需要高亮的内容
* @param query
*            搜索时使用的Query对象
* @param analyzer
*            分词器
* @return 高亮之后的文本
* @throws IOException
* @throws InvalidTokenOffsetsException
*/
private static String highlight(String content, Query query, Analyzer analyzer) throws IOException, InvalidTokenOffsetsException {
SimpleHTMLFormatter formatter = new SimpleHTMLFormatter("<b>", "</b>");
Highlighter highlighter = new Highlighter(formatter, new QueryScorer(query));
highlighter.setTextFragmenter(new SimpleFragmenter(100));
String resultString = highlighter.getBestFragment(analyzer.tokenStream("", new StringReader(content)), content);
return resultString + "...";
}
public static void main(String[] args) throws Exception {
analysis();
build();
search("人民币 升值");
}
}