Lucene实现SearchManager近实时搜索

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lucene通过NRTManager这个类来实现近实时搜索,所谓近实时搜索即在索引发生改变时,通

过线程跟踪,在相对很短的时间反映给给用户程序的调用

NRTManager通过管理IndexWriter对象,并将IndexWriter的一些方法(增删改)例如

addDocument,deleteDocument等方法暴露给客户调用,它的操作全部在内存里面,所以如果

你不调用IndexWriter的commit方法,通过以上的操作,用户硬盘里面的索引库是不会变化的,所

以你每次更新完索引库请记得commit掉,这样才能将变化的索引一起写到硬盘中,实现索引更新后的同步
用户每次获取最新索引(IndexSearcher),可以通过两种方式,第一种是通过调用

NRTManagerReopenThread对象,该线程负责实时跟踪索引内存的变化,每次变化就调用

maybeReopen方法,保持最新代索引,打开一个新的IndexSearcher对象,而用户所要的

IndexSearcher对象是NRTManager通过调用getSearcherManager方法获得SearcherManager对

象,然后通过SearcherManager对象获取IndexSearcher对象返回个客户使用,用户使用完之

后调用SearcherManager的release释放IndexSearcher对象,最后记得关闭NRTManagerReopenThread;
第二种方式是不通过NRTManagerReopenThread对象,而是直接调用NRTManager的

maybeReopen方法来获取最新的IndexSearcher对象来获取最新索引

一:单独使用SearchManager

1.// 实现近实时搜索//所以就不通过Indexread来创建search
private SearcherManager manager;//是线程安全的
2.在构造方法中实现SearchManager

// 创建SearcherManagemanager = new SearcherManager(directory, new SearcherWarmer() {                         @Overridepublic void warm(IndexSearcher arg0) throws IOException {System.out.println("索引改变了...");} }, Executors.newCachedThreadPool());

3.在检索的query方法中
// 获得一个searchIndexSearcher search = manager.acquire();


4./*
   * maybeReopen会自动检查是否需要重新打开 
   * 比如重复执行search02几次,中间一次删除一条数据
   * 这个删除的数据需要对writer进行commit才行 
   * 那么使用maybeReopen就可以检测到硬盘中的索引是否改变
   * 并在下次查询的时候把删除的这条给去掉
   */

   manager.maybeReopen();


5.通过SearchManager关闭search
finally {try {// 通过manager关闭searchmanager.release(search);} catch (IOException e) {e.printStackTrace();}

6.对索引操作时记得
writer.deleteDocuments(new Term("id", "1"));// 使用SearchManage需要对writer进行commitwriter.commit();


package org.itat.index;import java.io.File;import java.io.IOException;import java.util.concurrent.Executors;import org.apache.lucene.analysis.Analyzer;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.CorruptIndexException;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.search.IndexSearcher;import org.apache.lucene.search.ScoreDoc;import org.apache.lucene.search.SearcherManager;import org.apache.lucene.search.SearcherWarmer;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.store.LockObtainFailedException;import org.apache.lucene.util.Version;/** * 只使用SearcherManager,不使用NRTManager *  * SearcherManager的maybeReopen会自动检查是否需要重新打开,比如重复执行search02几次, * 中间的一次删除一条数据这个删除的数据需要对writer进行commit才行,这样硬盘上的索引才会生效 * 那么使用maybeReopen就可以检测到硬盘中的索引是否改变,并在下次查询的时候就进行生效 *  * 但是: * 光使用SearcherManager的话做不到实时搜索,为什么呢? * 因为使用SearcherManager需要进行writer.commit才会检测到,但是我们知道writer的commit是非常 * 消耗性能的,我们不能经常性的commit,那需要怎么做呢? * 我们只能把添加修改删除的操作在内存中生效,然后使用内存中的索引信息并且在搜索时能起到效果, * 过一段时间累计到一定程序才进行writer.commit */public class IndexUtil1 {private String[] ids = {"1","2","3","4","5","6"};private String[] emails = {"aa@itat.org","bb@itat.org","cc@cc.org","dd@sina.org","ee@zttc.edu","ff@itat.org"};private String[] contents = {"welcome to visited the space,I like book","hello boy, I like pingpeng ball","my name is cc I like game","I like football","I like football and I like basketball too","I like movie and swim"};private int[] attachs = {2,3,1,4,5,5};private String[] names = {"zhangsan","lisi","john","jetty","mike","jake"};private Analyzer analyzer = new StandardAnalyzer(Version.LUCENE_35);private SearcherManager mgr = null;//是线程安全的private Directory directory = null;public IndexUtil1() {try {directory = FSDirectory.open(new File("D:\\Workspaces\\realtime\\index"));mgr = new SearcherManager(directory, new SearcherWarmer() {/** * 索引一更新就要重新获取searcher,那获取searcher的时候就会调用这个方法 * 执行maybeReopen的时候会执行warm方法,在这里可以对资源等进行控制 */@Overridepublic void warm(IndexSearcher search) throws IOException {System.out.println("has change");}}, Executors.newCachedThreadPool());} catch (IOException e) {e.printStackTrace();}}/** * 删除索引数据,默认不会完全删除,被放入索引回收站 */public void delete(String id) {IndexWriter writer = null;try {writer = new IndexWriter(directory,new IndexWriterConfig(Version.LUCENE_35,analyzer));//参数是一个选项,可以是一个Query,也可以是一个term,term是一个精确查找的值//此时删除的文档并不会被完全删除,而是存储在一个回收站中的,可以恢复//执行完这个操作,索引文件夹下就会多出一个名叫_0_1.del的文件,也就是删除的文件在这个文件中记录了writer.deleteDocuments(new Term("id",id));writer.commit();} catch (CorruptIndexException e) {e.printStackTrace();} catch (LockObtainFailedException e) {e.printStackTrace();} catch (IOException e) {e.printStackTrace();} finally {try {if(writer!=null) writer.close();} catch (CorruptIndexException e) {e.printStackTrace();} catch (IOException e) {e.printStackTrace();}}}public void query() {try {IndexReader reader = IndexReader.open(directory);//通过reader可以有效的获取到文档的数量System.out.println("numDocs:"+reader.numDocs());//存储的文档数//不包括被删除的System.out.println("maxDocs:"+reader.maxDoc());//总存储量,包括在回收站中的索引System.out.println("deleteDocs:"+reader.numDeletedDocs());reader.close();} catch (CorruptIndexException e) {e.printStackTrace();} catch (IOException e) {e.printStackTrace();}}/** *索引文件后缀为.fmn为保存的是域的名称等 * .fdt和.fdx保存的是Store.YES的信息,保存域里面存储的数据 * .frq表示这里的域哪些出现多少次,哪些单词出现多少次, * .nrm存储一些评分信息 * .prx存储一些偏移量等 * .tii和.tis专门存储索引里面的所有内容信息 */public void index() {IndexWriter writer = null;try {//在2.9版本之后,lucene的就不是全部的索引格式都兼容的了,所以在使用的时候必须写明版本号writer = new IndexWriter(directory, new IndexWriterConfig(Version.LUCENE_35, analyzer));writer.deleteAll();//清空索引Document doc = null;for(int i=0;i<ids.length;i++) {doc = new Document();doc.add(new Field("id",ids[i],Field.Store.YES,Field.Index.NOT_ANALYZED_NO_NORMS));doc.add(new Field("email",emails[i],Field.Store.YES,Field.Index.NOT_ANALYZED));doc.add(new Field("email","test"+i+"@test.com",Field.Store.YES,Field.Index.NOT_ANALYZED));doc.add(new Field("content",contents[i],Field.Store.NO,Field.Index.ANALYZED));doc.add(new Field("name",names[i],Field.Store.YES,Field.Index.NOT_ANALYZED_NO_NORMS));//存储数字//NumberTools.stringToLong("");已经被标记为过时了doc.add(new NumericField("attach",Field.Store.YES,true).setIntValue(attachs[i]));String et = emails[i].substring(emails[i].lastIndexOf("@")+1);writer.addDocument(doc);}} catch (CorruptIndexException e) {e.printStackTrace();} catch (LockObtainFailedException e) {e.printStackTrace();} catch (IOException e) {e.printStackTrace();} finally {try {if(writer!=null)writer.close();} catch (CorruptIndexException e) {e.printStackTrace();} catch (IOException e) {e.printStackTrace();}}}public void search02() {IndexSearcher searcher = mgr.acquire();//获得一个searchertry {/** * maybeReopen会自动检查是否需要重新打开 * 比如重复执行search02几次,中间一次删除一条数据 * 这个删除的数据需要对writer进行commit才行 * 那么使用maybeReopen就可以检测到硬盘中的索引是否改变 * 并在下次查询的时候把删除的这条给去掉 */mgr.maybeReopen();TermQuery query = new TermQuery(new Term("content","like"));TopDocs tds = searcher.search(query, 10);for(ScoreDoc sd:tds.scoreDocs) {Document doc = searcher.doc(sd.doc);System.out.println(doc.get("id")+"---->"+doc.get("name")+"["+doc.get("email")+"]-->"+doc.get("id")+","+doc.get("attach")+","+doc.get("date")+","+doc.getValues("email")[1]);}searcher.close();} catch (CorruptIndexException e) {e.printStackTrace();} catch (IOException e) {e.printStackTrace();} finally{try {mgr.release(searcher);//释放一个searcher} catch (IOException e) {e.printStackTrace();}}}}

二:使用NRTManager+ManagerSearch

package org.itat.index;import java.io.File;import java.io.IOException;import org.apache.lucene.analysis.Analyzer;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.CorruptIndexException;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.search.IndexSearcher;import org.apache.lucene.search.NRTManager;import org.apache.lucene.search.NRTManagerReopenThread;import org.apache.lucene.search.ScoreDoc;import org.apache.lucene.search.SearcherManager;import org.apache.lucene.search.SearcherWarmer;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.store.LockObtainFailedException;import org.apache.lucene.util.Version;/** * SearcherManager和NRTManager联合使用 *  * SearcherManager的maybeReopen会自动检查是否需要重新打开,比如重复执行search02几次, * 中间的一次删除一条数据这个删除的数据需要对writer进行commit才行,这样硬盘上的索引才会生效 * 那么使用maybeReopen就可以检测到硬盘中的索引是否改变,并在下次查询的时候就进行生效 *  * 但是: * 光使用SearcherManager的话做不到实时搜索,为什么呢? * 因为使用SearcherManager需要进行writer.commit才会检测到,但是我们知道writer的commit是非常 * 消耗性能的,我们不能经常性的commit,那需要怎么做呢? * 我们只能把添加修改删除的操作在内存中生效,然后使用内存中的索引信息并且在搜索时能起到效果, * 过一段时间累计到一定程序才进行writer.commit * NRTManage就是这样的功能,把更新的数据存储在内容中,但是lucene搜索的时候也可以搜索到,需要 * writer进行commit才会把索引更新到硬盘中 */public class IndexUtil2 {private String[] ids = {"1","2","3","4","5","6"};private String[] emails = {"aa@itat.org","bb@itat.org","cc@cc.org","dd@sina.org","ee@zttc.edu","ff@itat.org"};private String[] contents = {"welcome to visited the space,I like book","hello boy, I like pingpeng ball","my name is cc I like game","I like football","I like football and I like basketball too","I like movie and swim"};private int[] attachs = {2,3,1,4,5,5};private String[] names = {"zhangsan","lisi","john","jetty","mike","jake"};private Analyzer analyzer = new StandardAnalyzer(Version.LUCENE_35);private SearcherManager mgr = null;//是线程安全的private NRTManager nrtMgr = null;//near real time  近实时搜索private Directory directory = null;private IndexWriter writer = null;public IndexUtil2() {try {directory = FSDirectory.open(new File("D:\\Workspaces\\realtime\\index"));writer = new IndexWriter(directory,new IndexWriterConfig(Version.LUCENE_35, analyzer));nrtMgr = new NRTManager(writer, new SearcherWarmer() {/** * 索引一更新就要重新获取searcher,那获取searcher的时候就会调用这个方法 * 执行maybeReopen的时候会执行warm方法,在这里可以对资源等进行控制 */@Overridepublic void warm(IndexSearcher search) throws IOException {System.out.println("has open");}});//启动NRTManager的Reopen线程//NRTManagerReopenThread会每隔25秒去检测一下索引是否更新并判断是否需要重新打开writerNRTManagerReopenThread reopen = new NRTManagerReopenThread(nrtMgr, 5.0, 0.025);//0.025为25秒reopen.setDaemon(true);//设为后台线程reopen.setName("NrtManager Reopen Thread");reopen.start();mgr = nrtMgr.getSearcherManager(true);//true为允许所有的更新} catch (IOException e) {e.printStackTrace();}}/** * 删除索引数据,默认不会完全删除,被放入索引回收站 */public void delete(String id) {try {//参数是一个选项,可以是一个Query,也可以是一个term,term是一个精确查找的值//此时删除的文档并不会被完全删除,而是存储在一个回收站中的,可以恢复//执行完这个操作,索引文件夹下就会多出一个名叫_0_1.del的文件,也就是删除的文件在这个文件中记录了nrtMgr.deleteDocuments(new Term("id",id));//使用使用nrtMgr来删除} catch (CorruptIndexException e) {e.printStackTrace();} catch (LockObtainFailedException e) {e.printStackTrace();} catch (IOException e) {e.printStackTrace();} }public void query() {try {IndexReader reader = IndexReader.open(directory);//通过reader可以有效的获取到文档的数量System.out.println("numDocs:"+reader.numDocs());//存储的文档数//不包括被删除的System.out.println("maxDocs:"+reader.maxDoc());//总存储量,包括在回收站中的索引System.out.println("deleteDocs:"+reader.numDeletedDocs());reader.close();} catch (CorruptIndexException e) {e.printStackTrace();} catch (IOException e) {e.printStackTrace();}}/** *索引文件后缀为.fmn为保存的是域的名称等 * .fdt和.fdx保存的是Store.YES的信息,保存域里面存储的数据 * .frq表示这里的域哪些出现多少次,哪些单词出现多少次, * .nrm存储一些评分信息 * .prx存储一些偏移量等 * .tii和.tis专门存储索引里面的所有内容信息 */public void index() {IndexWriter writer = null;try {//在2.9版本之后,lucene的就不是全部的索引格式都兼容的了,所以在使用的时候必须写明版本号writer = new IndexWriter(directory, new IndexWriterConfig(Version.LUCENE_35, analyzer));writer.deleteAll();//清空索引Document doc = null;for(int i=0;i<ids.length;i++) {doc = new Document();doc.add(new Field("id",ids[i],Field.Store.YES,Field.Index.NOT_ANALYZED_NO_NORMS));doc.add(new Field("email",emails[i],Field.Store.YES,Field.Index.NOT_ANALYZED));doc.add(new Field("email","test"+i+"@test.com",Field.Store.YES,Field.Index.NOT_ANALYZED));doc.add(new Field("content",contents[i],Field.Store.NO,Field.Index.ANALYZED));doc.add(new Field("name",names[i],Field.Store.YES,Field.Index.NOT_ANALYZED_NO_NORMS));//存储数字//NumberTools.stringToLong("");已经被标记为过时了doc.add(new NumericField("attach",Field.Store.YES,true).setIntValue(attachs[i]));String et = emails[i].substring(emails[i].lastIndexOf("@")+1);writer.addDocument(doc);}} catch (CorruptIndexException e) {e.printStackTrace();} catch (LockObtainFailedException e) {e.printStackTrace();} catch (IOException e) {e.printStackTrace();} finally {try {if(writer!=null)writer.close();} catch (CorruptIndexException e) {e.printStackTrace();} catch (IOException e) {e.printStackTrace();}}}public void search02() {IndexSearcher searcher = mgr.acquire();//获得一个searchertry {/** * maybeReopen会自动检查是否需要重新打开 * 比如重复执行search02几次,中间一次删除一条数据 * 这个删除的数据需要对writer进行commit才行 * 那么使用maybeReopen就可以检测到硬盘中的索引是否改变 * 并在下次查询的时候把删除的这条给去掉 */TermQuery query = new TermQuery(new Term("content","like"));TopDocs tds = searcher.search(query, 10);for(ScoreDoc sd:tds.scoreDocs) {Document doc = searcher.doc(sd.doc);System.out.println(doc.get("id")+"---->"+doc.get("name")+"["+doc.get("email")+"]-->"+doc.get("id")+","+doc.get("attach")+","+doc.get("date")+","+doc.getValues("email")[1]);}searcher.close();} catch (CorruptIndexException e) {e.printStackTrace();} catch (IOException e) {e.printStackTrace();} finally{try {mgr.release(searcher);//释放一个searcher} catch (IOException e) {e.printStackTrace();}}}}



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