什么是索引:
根据你输入的值去找,这个值就是索引
第一种创建索引的方式:
根据文件来生成索引,如后缀为.txt等的文件
步骤:
第一步:FSDirectory.open(Paths.get(url));根据路径获取存储索引的目录。
FSDirectory:表示对文件系统目录的操作。RAMDirectory :内存中的目录操作。
Paths为NIO(new io)的一个类;Path 类是 java.io.File 类的升级版,File file=newFile("index.html")而Path path=Paths.get("index.html");由于 Path 类基于字符串创建,因此它引用的资源也有可能不存在。
关于nio:传统的io流都是通过字节的移动来处理的,也就是说输入/输出流一次只能处理一个字节,因此面向流的输入/输出系统通常效率不高;因此引进了新IO(new IO),NIO采用内存映射文件的方式来处理输入/输出,NIO将文件或文件的一段区域映射到内存中,这样就可以向访问内存一样来访问文件了(这种方式模拟了操作系统上的虚拟内存的概念),所以NIO的效率很快。
第二步:new IndexWriter(Directory,IndexWriterConfig)创建索引
第三步:索引指定目录的文件
第四步:将文件写入lucene中的文档(Document)
packagecom.wp.util;importjava.io.File;importjava.io.FileReader;importjava.nio.file.Paths;importorg.apache.lucene.analysis.Analyzer;importorg.apache.lucene.analysis.standard.StandardAnalyzer;importorg.apache.lucene.document.Document;importorg.apache.lucene.document.Field;importorg.apache.lucene.document.TextField;importorg.apache.lucene.index.IndexWriter;importorg.apache.lucene.index.IndexWriterConfig;importorg.apache.lucene.store.Directory;importorg.apache.lucene.store.FSDirectory;public classIndexer {private IndexWriter writer; //写索引实例
/*** 构造方法 实例化IndexWriter
*
*@paramindexDir
*@throwsException*/
public Indexer(String indexDir) throwsException {
Directory dir= FSDirectory.open(Paths.get(indexDir));//根据路径获取存储索引的目录
Analyzer analyzer = new StandardAnalyzer(); //这里用了多态,StandardAnalyzer是标准分词器,Analyzer是一个分词器
IndexWriterConfig iwc = newIndexWriterConfig(analyzer); writer= newIndexWriter(dir, iwc); }/*** 关闭写索引 * *@throwsException*/ public void close() throwsException { writer.close(); }/*** 索引指定目录的所有文件 * *@paramdataDir *@throwsException*/ public int index(String dataDir) throwsException { File[] files= newFile(dataDir).listFiles();for(File f : files) { indexFile(f); }returnwriter.numDocs(); }/*** 索引指定文件 * *@paramf*/ private void indexFile(File f) throwsException {//关于f.getCanonicalPath()查看http://www.blogjava.net/dreamstone/archive/2007/08/08/134968.html System.out.println("索引文件:" +f.getCanonicalPath()); Document doc=getDocument(f); writer.addDocument(doc); }/*** 获取文档,文档里再设置每个字段 * *@paramf*/ private Document getDocument(File f) throwsException { Document doc= newDocument(); doc.add(new TextField("contents", newFileReader(f))); doc.add(new TextField("fileName", f.getName(), Field.Store.YES)); doc .add(new TextField("fullPath", f.getCanonicalPath(), Field.Store.YES));returndoc; }public static voidmain(String[] args) { String indexDir= "D:\\lucene4"; String dataDir= "D:\\lucene4\\data"; Indexer indexer= null;int numIndexed = 0;long start =System.currentTimeMillis();try{ indexer= newIndexer(indexDir); numIndexed=indexer.index(dataDir); }catch(Exception e) { e.printStackTrace(); }finally{try{ indexer.close(); }catch(Exception e) { e.printStackTrace(); } }long end =System.currentTimeMillis(); System.out.println("索引:" + numIndexed + " 个文件 花费了" + (end -start)+ " 毫秒"); } }
第二种创建索引的方式:
根据字段来生成索引,我用的是数组
第一步:创建索引
第二步:将字段添加到文档中
packagecom.wp.util;importjava.nio.file.Paths;importorg.apache.lucene.analysis.Analyzer;importorg.apache.lucene.analysis.standard.StandardAnalyzer;importorg.apache.lucene.document.Document;importorg.apache.lucene.document.Field;importorg.apache.lucene.document.StringField;importorg.apache.lucene.document.TextField;importorg.apache.lucene.index.DirectoryReader;importorg.apache.lucene.index.IndexReader;importorg.apache.lucene.index.IndexWriter;importorg.apache.lucene.index.IndexWriterConfig;importorg.apache.lucene.index.Term;importorg.apache.lucene.store.Directory;importorg.apache.lucene.store.FSDirectory;importorg.junit.Before;importorg.junit.Test;public classIndexIngTest {private String ids[] = { "1", "2", "3"};private String citys[] = { "qingdao", "nanjing", "shanghai"};private String descs[] = { "Qingdao is a beautiful city.","Nanjing is a city of culture.", "Shanghai is a bustling city."};private Directory dir;//目录
/*** 获取IndexWriter实例
*
*@return*@throwsException*/
private IndexWriter getWriter() throwsException {
Analyzer analyzer= new StandardAnalyzer(); //标准分词器
IndexWriterConfig iwc = newIndexWriterConfig(analyzer);
IndexWriter writer= newIndexWriter(dir, iwc);returnwriter;
}/*** 添加文档
*
*@throwsException*/@Beforepublic void setUp() throwsException {
dir= FSDirectory.open(Paths.get("D:\\lucene\\luceneIndex"));//得到luceneIndex目录
IndexWriter writer = getWriter();//得到索引
for (int i = 0; i Document doc= new Document();//创建文档 doc.add(new StringField("id", ids[i], Field.Store.YES));//将id属性存入内存中 doc.add(new StringField("city", citys[i], Field.Store.YES)); doc.add(new TextField("desc", descs[i], Field.Store.NO)); writer.addDocument(doc);//添加文档 } writer.close(); }/*** 测试写了几个文档 * *@throwsException*/@Testpublic void testIndexWriter() throwsException { IndexWriter writer=getWriter(); System.out.println("写入了" + writer.numDocs() + "个文档"); writer.close(); }/*** 测试读取文档 * *@throwsException*/@Testpublic void testIndexReader() throwsException { IndexReader reader=DirectoryReader.open(dir); System.out.println("最大文档数:" +reader.maxDoc()); System.out.println("实际文档数:" +reader.numDocs()); reader.close(); }/*** 测试删除 在合并前 * *@throwsException*/@Testpublic void testDeleteBeforeMerge() throwsException { IndexWriter writer=getWriter(); System.out.println("删除前:" +writer.numDocs()); writer.deleteDocuments(new Term("id", "1"));//term:根据id找到为1的 writer.commit(); System.out.println("writer.maxDoc():" +writer.maxDoc()); System.out.println("writer.numDocs():" +writer.numDocs()); writer.close(); }/*** 测试删除 在合并后 * *@throwsException*/@Testpublic void testDeleteAfterMerge() throwsException { IndexWriter writer=getWriter(); System.out.println("删除前:" +writer.numDocs()); writer.deleteDocuments(new Term("id", "1")); writer.forceMergeDeletes();//强制删除 writer.commit(); System.out.println("writer.maxDoc():" +writer.maxDoc()); System.out.println("writer.numDocs():" +writer.numDocs()); writer.close(); }/*** 测试更新 * *@throwsException*/@Testpublic void testUpdate() throwsException { IndexWriter writer=getWriter(); Document doc= newDocument(); doc.add(new StringField("id", "1", Field.Store.YES)); doc.add(new StringField("city", "qingdao", Field.Store.YES)); doc.add(new TextField("desc", "dsss is a city.", Field.Store.NO)); writer.updateDocument(new Term("id", "1"), doc); writer.close(); } } 生成的索引文件如下: 关于索引的搜索: 这里有一个要注意的地方:一定要先创建出索引后才能去进行查找,否则会报 org.apache.lucene.index.IndexNotFoundException: no segments* file found in MMapDirectory@D:\lucene lockFactory=org.apache.lucene.store.NativeFSLockFactory@753f67a9: files: [data, lucene-5.3.1, lucene-5.3.1.zip] packagecom.wp.lucene;importjava.nio.file.Paths;importorg.apache.lucene.analysis.Analyzer;importorg.apache.lucene.analysis.standard.StandardAnalyzer;importorg.apache.lucene.document.Document;importorg.apache.lucene.index.DirectoryReader;importorg.apache.lucene.index.IndexReader;importorg.apache.lucene.queryparser.classic.QueryParser;importorg.apache.lucene.search.IndexSearcher;importorg.apache.lucene.search.Query;importorg.apache.lucene.search.ScoreDoc;importorg.apache.lucene.search.TopDocs;importorg.apache.lucene.store.Directory;importorg.apache.lucene.store.FSDirectory;public classSearcher {/*** *@paramindexDir * 哪个目录 *@paramq * 要查询的字段 *@throwsException*/ public static void search(String indexDir, String q) throwsException { Directory dir= FSDirectory.open(Paths.get(indexDir));//打开目录 IndexReader reader = DirectoryReader.open(dir);//进行读取 IndexSearcher is = new IndexSearcher(reader);//索引查询器 Analyzer analyzer = new StandardAnalyzer(); //标准分词器 QueryParser parser = new QueryParser("contents", analyzer);//在哪查询,第一个参数为查询的Document,在Indexer中创建了 Query query = parser.parse(q);//对字段进行解析后返回给查询 long start =System.currentTimeMillis(); TopDocs hits= is.search(query, 10);//开始查询,10代表前10条数据;返回一个文档 long end =System.currentTimeMillis(); System.out.println("匹配 " + q + " ,总共花费" + (end - start) + "毫秒" + "查询到" + hits.totalHits + "个记录");for(ScoreDoc scoreDoc : hits.scoreDocs) { Document doc= is.doc(scoreDoc.doc);//根据文档的标识获取文档 System.out.println(doc.get("fullPath")); } reader.close(); }/*** 执行这个main方法进行查询之前,必须要有索引,即先执行Indexer这个类 * *@paramargs*/ public static voidmain(String[] args) { String indexDir= "D:\\lucene"; String q= "ADD";try{ search(indexDir, q); }catch(Exception e) { e.printStackTrace(); } } } Java小生店铺: 手机端:搜索 java小生店铺 希望店铺的资料能帮助到你!!!