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
1、工程目录
2、只使用SearcherManager,不使用NRTManager的方式搜索
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 = {"[email protected]","[email protected]","[email protected]","[email protected]","[email protected]","[email protected]"};
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
*/
@Override
public 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"+
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();
}
}
}
}
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 = {"[email protected]","[email protected]","[email protected]","[email protected]","[email protected]","[email protected]"};
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
*/
@Override
public 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writer
NRTManagerReopenThread 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"+
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();
}
}
}
}
4、不使用SearcherManager和NRTManager
package org.itat.index;
import java.io.File;
import java.io.IOException;
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.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;
/**
* 不使用SearcherManager和NRTManager
* @author user
*/
public class IndexUtil {
private String[] ids = {"1","2","3","4","5","6"};
private String[] emails = {"[email protected]","[email protected]","[email protected]","[email protected]","[email protected]","[email protected]"};
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 Directory directory = null;
private static IndexReader reader = null;
public IndexUtil() {
try {
directory = FSDirectory.open(new File("D:\\Workspaces\\realtime\\index"));
// directory = new RAMDirectory();
// index();
reader = IndexReader.open(directory,false);
} catch (IOException e) {
e.printStackTrace();
}
}
/**
* 对于IndexReader而言,反复使用Index.open打开会有很大的开销,所以一般在整个程序的生命周期中
* 只会打开一个IndexReader,通过这个IndexReader来创建不同的IndexSearcher,如果使用单例模式,
* 可能出现的问题有:
* 1、当使用Writer修改了索引之后不会更新信息,所以需要使用IndexReader.openIfChange方法操作
* 如果IndexWriter在创建完成之后,没有关闭,需要进行commit操作之后才能提交
* @return
*/
public IndexSearcher getSearcher() {
try {
if(reader==null) {
reader = IndexReader.open(directory,false);
} else {
IndexReader tr = IndexReader.openIfChanged(reader);
//如果原来的reader没改变,返回null
//如果原来的reader改变,则更新为新的索引
if(tr!=null) {
reader.close();
reader = tr;
}
}
return new IndexSearcher(reader);
} catch (CorruptIndexException e) {
e.printStackTrace();
} catch (IOException e) {
e.printStackTrace();
}
return null;
}
/**
* 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() {
IndexWriter writer = null;
try {
writer = new IndexWriter(directory,
new IndexWriterConfig(Version.LUCENE_35,new StandardAnalyzer(Version.LUCENE_35)));
//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","1"));
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, new StandardAnalyzer(Version.LUCENE_35)));
writer.deleteAll();//清空索引
Document doc = null;
for(int i=0;i"+
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();
}
}
}
工程路径:http://download.csdn.net/detail/wxwzy738/5332972