import java.io.File;import java.io.IOException;import org.apache.lucene.analysis.Analyzer;import org.apache.lucene.document.Document;import org.apache.lucene.document.Field.Store;import org.apache.lucene.document.StoredField;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.index.IndexableField;import org.apache.lucene.index.Term;import org.apache.lucene.queryparser.classic.MultiFieldQueryParser;import org.apache.lucene.queryparser.classic.QueryParser;import org.apache.lucene.search.BooleanClause.Occur;import org.apache.lucene.search.BooleanQuery;import org.apache.lucene.search.IndexSearcher;import org.apache.lucene.search.NumericRangeQuery;import org.apache.lucene.search.Query;import org.apache.lucene.search.ScoreDoc;import org.apache.lucene.search.TermQuery;import org.apache.lucene.search.TopDocs;import org.apache.lucene.store.Directory;import org.apache.lucene.store.FSDirectory;import org.apache.lucene.util.Version;import org.junit.Test;import org.wltea.analyzer.lucene.IKAnalyzer;public class LuceneCRM {        /**     * 添加     * @throws Exception     */    @Test    public void add() throws Exception{        //获得文档        Document document = new Document();        document.add(new StringField("id", "6", Store.YES));        document.add(new TextField("Name", "柳岩",Store.YES));        document.add(new StoredField("url", "www.baidu.com"));                //获得分析器        Analyzer analyzer = new IKAnalyzer();//        5. 创建Directory对象，声明索引库存储位置        Directory directory =  FSDirectory.open(new File("H:\\temp"));//        4. 创建IndexWriterConfig配置信息类        IndexWriterConfig config = new IndexWriterConfig(Version.LUCENE_4_10_3, analyzer);//        6. 创建IndexWriter写入对象        IndexWriter indexWriter = new IndexWriter(directory, config);                indexWriter.addDocument(document);        indexWriter.close();     }        /**     * 修改     * 更新索引是先删除再添加，建议对更新需求采用此方法并且要保证对已存在的索引执行更新，     * 可以先查询出来，确定更新记录存在执行更新操作     * 如果更新索引的目标文档对象不存在，则执行添加。     * @throws Exception      */    @Test    public void update() throws Exception{        //获得分析器        Analyzer analyzer = new IKAnalyzer();        // 创建搜索解析器，第一个参数：默认Field域，第二个参数：分词器        QueryParser queryParser = new QueryParser("name",analyzer);        // 1. 创建Query搜索对象        Query query = queryParser.parse("id:6");        //        5. 创建Directory对象，声明索引库存储位置        Directory directory =  FSDirectory.open(new File("H:\\temp"));                // 3. 创建索引读取对象IndexReader        IndexReader indexReader = DirectoryReader.open(directory);                // 4. 创建索引搜索对象IndexSearcher        IndexSearcher searcher = new IndexSearcher(indexReader);                // 5. 使用索引搜索对象，执行搜索，返回结果集TopDocs        TopDocs topDocs = searcher.search(query, 1);        System.out.println("查询到的数据总条数是：" + topDocs.totalHits);                                //获得结果集        ScoreDoc[] docs = topDocs.scoreDocs;        for (ScoreDoc scoreDoc : docs) {            //获得文档            Document document = searcher.doc(scoreDoc.doc);            //如果文档存在就修改            if(document!=null){//                4. 创建IndexWriterConfig配置信息类                IndexWriterConfig config = new IndexWriterConfig(Version.LUCENE_4_10_3, analyzer);//                6. 创建IndexWriter写入对象                IndexWriter indexWriter = new IndexWriter(directory, config);                                Document document2 = new Document();                //修改                document2.add(new TextField("name", "刘亦菲4", Store.YES));                document2.add(new TextField("Name", "柳岩4",Store.YES));                /*document2.add(new StringField("id", document.getField("id").stringValue(), Store.YES));                document2.add(new StoredField("url", document.getField("url").stringValue()));*/                document2.add(document.getField("id"));                document2.add(document.getField("url"));                                indexWriter.updateDocument(new Term("id", "6"), document2);                indexWriter.close();            }        }                indexReader.close();            }            /**     * 这个没有先做查询直接修改的      * 符合的doc文档>>这样这里加几个Field,修改的就是Field  其他的Field就不存在了     * (比如原来5个Field)     * @throws Exception     */    @Test    public void testIndexUpdate() throws Exception {        // 创建分词器        Analyzer analyzer = new IKAnalyzer();        // 创建Directory流对象        Directory directory = FSDirectory.open(new File("H:\\temp"));        IndexWriterConfig config = new IndexWriterConfig(Version.LUCENE_4_10_3, analyzer);        // 创建写入对象        IndexWriter indexWriter = new IndexWriter(directory, config);        // 创建Document        Document document = new Document();        document.add(new TextField("id", "1003", Store.YES));        document.add(new TextField("Name", "lucene测试test 004", Store.YES));        /*document.add(new TextField("desc", "啊哈哈哈哈哈哈哈",Store.YES));*/           //这里修改他会把这条数据给删除了        // 执行更新，会把所有符合条件的Document删除，再新增。        indexWriter.updateDocument(new Term("id", "1002"), document); //找到Field域为Name的中值为柳岩的所有的文档        // 释放资源        indexWriter.close();    }            /**     * 删除部分     * @throws Exception      */    @Test    public void delete() throws Exception{        //解析器        Analyzer analyzer = new IKAnalyzer();        //磁盘位置        Directory directory = FSDirectory.open(new File("H:\\temp"));//        4. 创建IndexWriterConfig配置信息类        IndexWriterConfig config = new IndexWriterConfig(Version.LUCENE_4_10_3, analyzer);        //写入对象        IndexWriter indexWriter = new IndexWriter(directory,config );                indexWriter.deleteDocuments(new Term("id","6"));                indexWriter.close();    }        /**     * 查询  第一种方式     * @throws Exception      */    @Test    public void find01() throws Exception{        Analyzer analyzer = new IKAnalyzer();        QueryParser parser = new QueryParser("name", analyzer);        //parser.parse()        Query query = parser.parse("Name:柳岩");        Directory directory = FSDirectory.open(new File("H:\\temp"));        IndexReader reader =  DirectoryReader.open(directory);        IndexSearcher indexSearcher = new IndexSearcher(reader);        TopDocs topDocs = indexSearcher.search(query, 10);        ScoreDoc[] docs = topDocs.scoreDocs;        for (ScoreDoc scoreDoc : docs) {            Document document = indexSearcher.doc(scoreDoc.doc);            System.out.println(document.get("Name"));        }        reader.close();    }        /**     * 查询  第二种方式     * @throws Exception      */    @Test    public void find02() throws Exception{        Query query = new TermQuery(new Term("Name","柳岩"));        Directory directory = FSDirectory.open(new File("H:\\temp"));        IndexReader indexReader = DirectoryReader.open(directory);        IndexSearcher indexSearcher = new IndexSearcher(indexReader);        TopDocs topDocs = indexSearcher.search(query, 10);        ScoreDoc[] docs = topDocs.scoreDocs;        for (ScoreDoc scoreDoc : docs) {            Document document = indexSearcher.doc(scoreDoc.doc);            System.out.println(document.get("Name"));        }        indexReader.close();    }        /**     * 查询 第三种方式     * NumericRangeQuery，指定数字范围查询     */    @Test    public void find03() throws Exception{        Query query = NumericRangeQuery.newFloatRange("price",50f, 70f, false, true);//(50f,70f]        Directory directory = FSDirectory.open(new File("H:\\temp"));        IndexReader indexReader = DirectoryReader.open(directory);        IndexSearcher indexSearcher = new IndexSearcher(indexReader);        TopDocs topDocs = indexSearcher.search(query, 10);        ScoreDoc[] docs = topDocs.scoreDocs;        for (ScoreDoc scoreDoc : docs) {            Document document = indexSearcher.doc(scoreDoc.doc);            System.out.println(document.get("name"));        }        indexReader.close();    }        /**     * 查询 第四种方式     * BooleanQuery，指定数字范围查询     */    @Test    public void find04() throws Exception{        Query query1 = new TermQuery(new Term("desc","java"));        Query query2 = NumericRangeQuery.newFloatRange("price",50f, 70f, false, true);//(50f,70f]                BooleanQuery booleanQuery  = new BooleanQuery();        /**         *   1、MUST和MUST表示“与”的关系，即“交集”。              2、MUST和MUST_NOT前者包含后者不包含。              3、MUST_NOT和MUST_NOT没意义              4、SHOULD与MUST表示MUST，SHOULD失去意义；              5、SHOULD与MUST_NOT相当于MUST与MUST_NOT。              6、SHOULD与SHOULD表示“或”的关系，即“并集”。         */        booleanQuery.add(query1, Occur.MUST);        booleanQuery.add(query2, Occur.MUST);                Directory directory = FSDirectory.open(new File("H:\\temp"));        IndexReader indexReader = DirectoryReader.open(directory);        IndexSearcher indexSearcher = new IndexSearcher(indexReader);        TopDocs topDocs = indexSearcher.search(booleanQuery, 10);        ScoreDoc[] docs = topDocs.scoreDocs;        for (ScoreDoc scoreDoc : docs) {            Document document = indexSearcher.doc(scoreDoc.doc);            System.out.println(document.get("name"));        }        indexReader.close();    }        /**     * 组合查询     */    @Test    public void find05() throws Exception{        Analyzer analyzer = new IKAnalyzer();        QueryParser queryParser = new QueryParser("desc", analyzer);        //QueryParser提供一个Parse方法，此方法可以直接根据查询语法来查询        //它支持字符串范围。数字范围搜索建议使用NumericRangeQuery        Query query = queryParser.parse("desc:java AND lucene");        Directory directory = FSDirectory.open(new File("H:\\temp"));        IndexReader indexReader = DirectoryReader.open(directory);        IndexSearcher indexSearcher = new IndexSearcher(indexReader);        TopDocs topDocs = indexSearcher.search(query, 10);        ScoreDoc[] docs = topDocs.scoreDocs;        for (ScoreDoc scoreDoc : docs) {            Document document = indexSearcher.doc(scoreDoc.doc);            System.out.println(document.get("name"));        }        indexReader.close();    }        /**     * 通过MultiFieldQueryParse对多个域查询。     */    @Test    public void find06() throws Exception{        Analyzer analyzer = new IKAnalyzer();        MultiFieldQueryParser multiFieldQueryParser = new MultiFieldQueryParser(new String[]{"name","desc"}, analyzer);        //通过MultiFieldQueryParse对多个域查询        //搜索这两个域中包含lucene域        Query query = multiFieldQueryParser.parse("lucene");  //name:lucene desc:lucene        Directory directory = FSDirectory.open(new File("H:\\temp"));        IndexReader indexReader = DirectoryReader.open(directory);        IndexSearcher indexSearcher = new IndexSearcher(indexReader);        TopDocs topDocs = indexSearcher.search(query, 10);        ScoreDoc[] docs = topDocs.scoreDocs;        for (ScoreDoc scoreDoc : docs) {            Document document = indexSearcher.doc(scoreDoc.doc);            System.out.println(document.get("name"));        }        indexReader.close();    }        /**     * 相关度排序(boost是一个加权值（默认加权值为1.0f）)     * Lucene对查询关键字和索引文档的相关度进行打分，得分高的就排在前边     *     1）计算出词（Term）的权重           2）根据词的权重值，计算文档相关度得分。        ?    Term Frequency (tf)：                指此Term在此文档中出现了多少次。tf 越大说明越重要。                 词(Term)在文档中出现的次数越多，说明此词(Term)对该文档越重要，如“Lucene”这个词，                在文档中出现的次数很多，说明该文档主要就是讲Lucene技术的。?            Document Frequency (df)：                指有多少文档包含此Term。df 越大说明越不重要。                     比如，在一篇英语文档中，this出现的次数更多，就说明越重要吗？                不是的，有越多的文档包含此词(Term), 说明此词(Term)太普通，不足以区分这些文档，因而重要性越低。     * @throws Exception      */    @Test    public void addS() throws Exception{        Analyzer analyzer = new IKAnalyzer();        Directory directory = FSDirectory.open(new File("H:\\temp"));        IndexWriterConfig config = new IndexWriterConfig(Version.LUCENE_4_10_3, analyzer);        IndexWriter indexWriter = new IndexWriter(directory, config);                Document document = new Document();        document.add(new StringField("id", "7", Store.YES));        document.add(new TextField("desc", "哈哈哈哈哈哈", Store.YES));        document.add(new TextField("name", "柳岩", Store.YES));        //添加权重           TextField field = new TextField("Name", "柳岩", Store.YES);  //在做查询柳岩是  这个就排在第一个了  无敌了        field.setBoost(100f);  //设置权重        document.add(field);                indexWriter.addDocument(document);                indexWriter.close();    }    }