• 【Lucene3.6.2入门系列】第03节_简述Lucene中常见的搜索功能


    package com.jadyer.lucene;
    
    import java.io.File;
    import java.io.IOException;
    import java.text.SimpleDateFormat;
    import java.util.Date;
    
    import org.apache.lucene.analysis.standard.StandardAnalyzer;
    import org.apache.lucene.document.Document;
    import org.apache.lucene.document.Field;
    import org.apache.lucene.document.NumericField;
    import org.apache.lucene.index.IndexReader;
    import org.apache.lucene.index.IndexWriter;
    import org.apache.lucene.index.IndexWriterConfig;
    import org.apache.lucene.index.Term;
    import org.apache.lucene.queryParser.ParseException;
    import org.apache.lucene.queryParser.QueryParser;
    import org.apache.lucene.search.BooleanQuery;
    import org.apache.lucene.search.FuzzyQuery;
    import org.apache.lucene.search.IndexSearcher;
    import org.apache.lucene.search.NumericRangeQuery;
    import org.apache.lucene.search.PhraseQuery;
    import org.apache.lucene.search.PrefixQuery;
    import org.apache.lucene.search.Query;
    import org.apache.lucene.search.ScoreDoc;
    import org.apache.lucene.search.TermQuery;
    import org.apache.lucene.search.TermRangeQuery;
    import org.apache.lucene.search.TopDocs;
    import org.apache.lucene.search.WildcardQuery;
    import org.apache.lucene.search.BooleanClause.Occur;
    import org.apache.lucene.store.Directory;
    import org.apache.lucene.store.FSDirectory;
    import org.apache.lucene.util.Version;
    
    /**
     * 【Lucene3.6.2入门系列】第03节_简述Lucene中常见的搜索功能
     * @create Aug 1, 2013 3:54:27 PM
     * @author 玄玉<http://blog.csdn.net/jadyer>
     */
    public class HelloSearch {
    	private Directory directory;
    	private IndexReader reader;
    	private String[] ids = {"1", "2", "3", "4", "5", "6"};
    	private String[] names = {"Michael", "Scofield", "Tbag", "Jack", "Jade", "Jadyer"};
    	private String[] emails = {"aa@jadyer.us", "bb@jadyer.cn", "cc@jadyer.cc", "dd@jadyer.tw", "ee@jadyer.hk", "ff@jadyer.me"};
    	private String[] contents = {"my java blog is http://blog.csdn.net/jadyer", "my website is http://www.jadyer.cn", "my name is jadyer", "I am JavaDeveloper", "I am from Haerbin", "I like Lucene"};
    	private int[] attachs = {9,3,5,4,1,2};
    	private Date[] dates = new Date[ids.length];
    	
    	public HelloSearch(){
    		IndexWriter writer = null;
    		Document doc = null;
    		SimpleDateFormat sdf = new SimpleDateFormat("yyyyMMdd");
    		try {
    			dates[0] = sdf.parse("20120601");
    			dates[1] = sdf.parse("20120603");
    			dates[2] = sdf.parse("20120605");
    			dates[3] = sdf.parse("20120607");
    			dates[4] = sdf.parse("20120609");
    			dates[5] = sdf.parse("20120611");
    			directory = FSDirectory.open(new File("myExample/03_index/"));
    			writer = new IndexWriter(directory, new IndexWriterConfig(Version.LUCENE_36, new StandardAnalyzer(Version.LUCENE_36)));
    			writer.deleteAll();              //创建索引之前,先把文档清空掉
    			for(int i=0; i<ids.length; i++){ //遍历ID来创建文档
    				doc = new Document();
    				doc.add(new Field("id", ids[i], Field.Store.YES, Field.Index.NOT_ANALYZED_NO_NORMS));
    				doc.add(new Field("name", names[i], Field.Store.YES, Field.Index.ANALYZED_NO_NORMS));
    				doc.add(new Field("email", emails[i], Field.Store.YES, Field.Index.NOT_ANALYZED));
    				doc.add(new Field("email", "test"+i+""+i+"@jadyer.com", Field.Store.YES, Field.Index.NOT_ANALYZED));
    				doc.add(new Field("content", contents[i], Field.Store.NO, Field.Index.ANALYZED));
    				doc.add(new NumericField("attach", Field.Store.YES, true).setIntValue(attachs[i]));        //为数字加索引(第三个参数指定是否索引)
    				doc.add(new NumericField("attach", Field.Store.YES, true).setIntValue((i+1)*100));         //假设有多个附件
    				doc.add(new NumericField("date", Field.Store.YES, true).setLongValue(dates[i].getTime())); //为日期加索引
    				writer.addDocument(doc);
    			}
    		} catch (Exception e) {
    			e.printStackTrace();
    		} finally {
    			if(null != writer){
    				try {
    					writer.close();
    				} catch (IOException ce) {
    					ce.printStackTrace();
    				}
    			}
    		}
    	}
    	
    	
    	/**
    	 * 针对分页搜索创建索引
    	 */
    	public HelloSearch(boolean pageFlag){
    		String[] myNames = new String[50];
    		String[] myContents = new String[50];
    		for(int i=0; i<50; i++){
    			myNames[i] = "file(" + i + ")";
    			myContents[i] = "I love JavaSE, also love Lucene(" + i + ")";
    		}
    		IndexWriter writer = null;
    		Document doc = null;
    		try {
    			directory = FSDirectory.open(new File("myExample/03_index/"));
    			writer = new IndexWriter(directory, new IndexWriterConfig(Version.LUCENE_36, new StandardAnalyzer(Version.LUCENE_36)));
    			writer.deleteAll();
    			for(int i=0; i<myNames.length; i++){
    				doc = new Document();
    				doc.add(new Field("myname", myNames[i], Field.Store.YES, Field.Index.NOT_ANALYZED_NO_NORMS));
    				doc.add(new Field("mycontent", myContents[i], Field.Store.YES, Field.Index.ANALYZED));
    				writer.addDocument(doc);
    			}
    		} catch (IOException e) {
    			e.printStackTrace();
    		} finally {
    			if(null != writer){
    				try {
    					writer.close();
    				} catch (IOException ce) {
    					ce.printStackTrace();
    				}
    			}
    		}
    	}
    	
    	
    	/**
    	 * 获取IndexSearcher实例
    	 */
    	private IndexSearcher getIndexSearcher(){
    		try {
    			if(reader == null){
    				reader = IndexReader.open(directory);
    			}else{
    				//if the index was changed since the provided reader was opened, open and return a new reader; else,return null
    				//如果当前reader在打开期间index发生改变,则打开并返回一个新的IndexReader,否则返回null
    				IndexReader ir = IndexReader.openIfChanged(reader);
    				if(ir != null){
    					reader.close(); //关闭原reader
    					reader = ir;    //赋予新reader
    				}
    			}
    			return new IndexSearcher(reader);
    		}catch(Exception e) {
    			e.printStackTrace();
    		}
    		return null; //发生异常则返回null
    	}
    	
    	
    	/**
    	 * 执行搜索操作
    	 * @param query 搜索的Query对象
    	 */
    	private void doSearch(Query query){
    		IndexSearcher searcher = this.getIndexSearcher();
    		try {
    			//第二个参数指定搜索后显示的最多的记录数,其与tds.totalHits没有联系
    			TopDocs tds = searcher.search(query, 10);
    			System.out.println("本次搜索到[" + tds.totalHits + "]条记录");
    			for(ScoreDoc sd : tds.scoreDocs){
    				Document doc = searcher.doc(sd.doc);
    				System.out.print("文档编号=" + sd.doc + "  文档权值=" + doc.getBoost() + "  文档评分=" + sd.score + "    ");
    				System.out.print("id=" + doc.get("id") + "  email=" + doc.get("email") + "  name=" + doc.get("name") + "  ");
    				//获取多个同名域的方式
    				String[] attachValues = doc.getValues("attach");
    				for(String attach : attachValues){
    					System.out.print("attach=" + attach + "  ");
    				}
    				System.out.println();
    			}
    		} catch (IOException e) {
    			e.printStackTrace();
    		} finally {
    			if(null != searcher){
    				try {
    					searcher.close(); //记得关闭IndexSearcher
    				} catch (IOException e) {
    					e.printStackTrace();
    				}
    			}
    		}
    	}
    	
    	
    	/**
    	 * 精确匹配搜索
    	 * @param fieldName 域名(相当于表的字段名)
    	 * @param keyWords  搜索的关键字
    	 */
    	public void searchByTerm(String fieldName, String keyWords){
    		Query query = new TermQuery(new Term(fieldName, keyWords));
    		this.doSearch(query);
    	}
    	
    	
    	/**
    	 * 基于范围的搜索
    	 * @param fieldName 域名(相当于表的字段名)
    	 * @param start     开始字符
    	 * @param end       结束字符
    	 */
    	public void searchByTermRange(String fieldName, String start, String end){
    		Query query = new TermRangeQuery(fieldName, start, end, true, true); //后面两个参数用于指定开区间或闭区间
    		this.doSearch(query);
    	}
    	
    	
    	/**
    	 * 针对数字的搜索
    	 */
    	public void searchByNumericRange(String fieldName, int min, int max){
    		Query query = NumericRangeQuery.newIntRange(fieldName, min, max, true, true);
    		this.doSearch(query);
    	}
    	
    	
    	/**
    	 * 基于前缀的搜索
    	 * @see 它是对Field分词后的结果进行前缀查找的结果
    	 */
    	public void searchByPrefix(String fieldName, String prefix){
    		Query query = new PrefixQuery(new Term(fieldName, prefix));
    		this.doSearch(query);
    	}
    	
    	
    	/**
    	 * 基于通配符的搜索
    	 * @see *-->任意多个字符
    	 * @see ?-->一个字符
    	 */
    	public void searchByWildcard(String fieldName, String wildcard){
    		Query query = new WildcardQuery(new Term(fieldName, wildcard));
    		this.doSearch(query);
    	}
    	
    	
    	/**
    	 * 模糊搜索
    	 * @see 与通配符搜索不同
    	 */
    	public void searchByFuzzy(String fieldName, String fuzzy){
    		Query query = new FuzzyQuery(new Term(fieldName, fuzzy));
    		this.doSearch(query);
    	}
    	
    	
    	/**
    	 * 多条件搜索
    	 * @see 本例中搜索name值中以Ja开头,且content中包含am的内容
    	 * @see Occur.MUST------表示此条件必须为true
    	 * @see Occur.MUST_NOT--表示此条件必须为false
    	 * @see Occur.SHOULD----表示此条件非必须
    	 */
    	public void searchByBoolean(){
    		BooleanQuery query = new BooleanQuery();
    		query.add(new WildcardQuery(new Term("name", "Ja*")), Occur.MUST);
    		query.add(new TermQuery(new Term("content", "am")), Occur.MUST);
    		this.doSearch(query);
    	}
    	
    	
    	/**
    	 * 短语搜索
    	 * @see 很遗憾的是短语查询对中文搜索没有太大的作用,但对英文搜索是很好用的,但它的开销比较大,尽量少用
    	 */
    	public void searchByPhrase(){
    		PhraseQuery query = new PhraseQuery();
    		query.setSlop(1);                          //设置跳数
    		query.add(new Term("content", "am"));      //第一个Term
    		query.add(new Term("content", "Haerbin")); //产生距离之后的第二个Term
    		this.doSearch(query);
    	}
    	
    	
    	/**
    	 * 基于QueryParser的搜索
    	 */
    	public void searchByQueryParse(){
    		QueryParser parser = new QueryParser(Version.LUCENE_36, "content", new StandardAnalyzer(Version.LUCENE_36));
    		Query query = null;
    		try {
    //			query = parser.parse("Haerbin");           //搜索content中包含[Haerbin]的记录
    //			query = parser.parse("I AND Haerbin");     //搜索content中包含[I]和[Haerbin]的记录
    //			query = parser.parse("Lucene OR Haerbin"); //搜索content中包含[Lucene]或者[Haerbin]的记录
    //			query = parser.parse("Lucene Haerbin");    //搜索content中包含[Lucene]或者[Haerbin]的记录
    //			parser.setDefaultOperator(Operator.AND);   //将空格的默认操作OR修改为AND
    //			//1)如果name域在索引时,不进行分词,那么无论这里写成[name:Jadyer]还是[name:jadyer],最后得到的都是0条记录
    //			//2)由于name原值为大写[J],若索引时不对name分词,除非修改name原值为小写[j],并且搜索[name:jadyer]才能得到记录
    //			query = parser.parse("name:Jadyer");       //修改搜索域为name=Jadyer的记录
    //			query = parser.parse("name:Ja*");          //支持通配符
    //			query = parser.parse(""I am"");          //搜索content中包含[I am]的记录(注意不能使用parse("content:'I am'"))
    //			parser.setAllowLeadingWildcard(true);      //设置允许[*]或[?]出现在查询字符的第一位,即[name:*de],否则[name:*de]会报异常
    //			query = parser.parse("name:*de");          //Lucene默认的第一个字符不允许为通配符,因为这样效率比较低
    //			//parse("+am +name:Jade")--------------搜索content中包括[am]的,并且name=Jade的记录
    //			//parse("am AND NOT name:Jade")--------搜索content中包括[am]的,并且nam不是Jade的记录
    //			//parse("(blog OR am) AND name:Jade")--搜索content中包括[blog]或者[am]的,并且name=Jade的记录
    //			query = parser.parse("-name:Jack +I");     //搜索content中包括[I]的,并且name不是Jack的记录(加减号要放到域说明的前面)
    //			query = parser.parse("id:[1 TO 3]");       //搜索id值从1到3的记录(TO必须大写,且这种方式没有办法匹配数字)
    //			query = parser.parse("id:{1 TO 3}");       //搜索id=2的记录
    			query = parser.parse("name:Jadk~");        //模糊搜索
    		} catch (ParseException e) {
    			e.printStackTrace();
    		}
    		this.doSearch(query);
    	}
    	
    	
    	/**
    	 * 普通的分页搜索
    	 * @see 适用于lucene3.5之前
    	 * @param expr      搜索表达式
    	 * @param pageIndex 页码
    	 * @param pageSize  分页大小
    	 */
    	public void searchPage(String expr, int pageIndex, int pageSize){
    		IndexSearcher searcher = this.getIndexSearcher();
    		QueryParser parser = new QueryParser(Version.LUCENE_36, "mycontent", new StandardAnalyzer(Version.LUCENE_36));
    		try {
    			Query query = parser.parse(expr);
    			TopDocs tds = searcher.search(query, pageIndex*pageSize);
    			ScoreDoc[] sds = tds.scoreDocs;
    			for(int i=(pageIndex-1)*pageSize; i<pageIndex*pageSize; i++){
    				Document doc = searcher.doc(sds[i].doc);
    				System.out.println("文档编号:" + sds[i].doc + "-->" + doc.get("myname") + "-->" + doc.get("mycontent"));
    			}
    		} catch (Exception e) {
    			e.printStackTrace();
    		} finally {
    			if(null != searcher){
    				try {
    					searcher.close();
    				} catch (IOException e) {
    					e.printStackTrace();
    				}
    			}
    		}
    	}
    	
    	
    	/**
    	 * 基于searchAfter的分页搜索
    	 * @see 适用于Lucene3.5
    	 * @param expr      搜索表达式
    	 * @param pageIndex 页码
    	 * @param pageSize  分页大小
    	 */
    	public void searchPageByAfter(String expr, int pageIndex, int pageSize){
    		IndexSearcher searcher = this.getIndexSearcher();
    		QueryParser parser = new QueryParser(Version.LUCENE_36, "mycontent", new StandardAnalyzer(Version.LUCENE_36));
    		try {
    			Query query = parser.parse(expr);
    			TopDocs tds = searcher.search(query, (pageIndex-1)*pageSize);
    			//使用IndexSearcher.searchAfter()搜索,该方法第一个参数为上一页记录中的最后一条记录
    			if(pageIndex > 1){
    				tds = searcher.searchAfter(tds.scoreDocs[(pageIndex-1)*pageSize-1], query, pageSize);
    			}else{
    				tds = searcher.searchAfter(null, query, pageSize);
    			}
    			for(ScoreDoc sd : tds.scoreDocs){
    				Document doc = searcher.doc(sd.doc);
    				System.out.println("文档编号:" + sd.doc + "-->" + doc.get("myname") + "-->" + doc.get("mycontent"));
    			}
    		} catch (Exception e) {
    			e.printStackTrace();
    		} finally {
    			if(null != searcher){
    				try {
    					searcher.close();
    				} catch (IOException e) {
    					e.printStackTrace();
    				}
    			}
    		}
    	}
    }


    下面是JUnit4.x编写的测试

    package com.jadyer.test;
    
    import java.io.File;
    
    import org.junit.Before;
    import org.junit.Test;
    
    import com.jadyer.lucene.HelloSearch;
    
    public class HelloSearchTest {
    	private HelloSearch hello;
    	
    	@Before
    	public void init(){
    		hello = new HelloSearch();
    	}
    	
    	
    	@Test
    	public void searchByTerm(){
    		hello.searchByTerm("content", "my");
    	}
    	
    	
    	@Test
    	public void searchByTermRange(){
    		hello.searchByTermRange("name", "M", "o");
    	}
    	
    	
    	@Test
    	public void searchByNumericRange(){
    		hello.searchByNumericRange("attach", 2, 5);
    	}
    	
    	
    	@Test
    	public void searchByPrefix(){
    		hello.searchByPrefix("content", "b");
    	}
    	
    	
    	@Test
    	public void searchByWildcard(){
    		hello.searchByWildcard("name", "Ja??er");
    	}
    	
    	
    	@Test
    	public void searchByFuzzy(){
    		hello.searchByFuzzy("name", "Jadk");
    	}
    	
    	
    	@Test
    	public void searchByBoolean(){
    		hello.searchByBoolean();
    	}
    	
    	
    	@Test
    	public void searchByPhrase(){
    		hello.searchByPhrase();
    	}
    	
    	
    	@Test
    	public void searchByQueryParse(){
    		hello.searchByQueryParse();
    	}
    	
    	
    	@Test
    	public void searchPage(){
    		for(File file : new File("myExample/03_index/").listFiles()){
    			file.delete();
    		}
    		hello = new HelloSearch(true);
    		hello.searchPage("mycontent:javase", 2, 10);
    	}
    	
    	
    	@Test
    	public void searchPageByAfter(){
    		for(File file : new File("myExample/03_index/").listFiles()){
    			file.delete();
    		}
    		hello = new HelloSearch(true);
    		hello.searchPageByAfter("mycontent:javase", 3, 10);
    	}
    }
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  • 原文地址:https://www.cnblogs.com/james1207/p/3266764.html
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