百度搜索原理解析，java+lucene中文分词，PS：十分重要，有用
程序员文章站
2022-05-17 12:32:34
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我想只要是学过数据库的孩纸，不管是mysql，还是sqlsever，一提到查找，本能的想到的便是like关键字，其实去转盘网（分类模式）之前也是采用这种算法，但我可以告诉大家一个很不幸的事情，like匹配其实会浪费大量的有用资源，原因这里不说了请自己想一想，我们还是直接摆事实验证。
现在用去转盘网搜：hello 找个单词，如下：
http://www.quzhuanpan.com/source/search.action?q=hello¤tPage=1
翻页你会发现只要是包含hello的单词都找到了，但是如果你用like的话是不会有这个效果的，不信让我们再看一下，还好他来说电影网的分词算法我还没来得及修改，还可以看到现象：
http://www.talaishuo.com/searchResult.do?searchFileName=hello
你会发现只有开始包含hello这个字段的搜索串才能得到匹配，这就问题来了，数据库中大量的资源岂不是白白浪费了，不过没事，伟大的人类还是很聪明的，发明了分词，分词的原理我就不讲了，请自己百度吧，还是直接上代码，提示，这里需要四个jar包作为工具，我先上传的去转盘，想要做分词的请先下载：
分词包下载地址1
分词包下载地址2
直接看代码：
注意由于去转盘网（http://www.quzhuanpan.com)是部署到linux上的，所以DISC_URL可以更具系统变换，我是通过url来判定索引文件是否唯一的，你可以更具id来判断，具体情况具体对待吧。
数据库之类的请不要关心，看思路即可，你如果需要换成你的即可，这里就不多说了。
看最后的部分：
你可以在一个applicationic程序中开始索引，也可以写个定时器来定时索引，看需求。以上代码是楼主幸苦的作品，转载请不要改动，本人确保代码完全可用。
现在用去转盘网搜：hello 找个单词，如下：
http://www.quzhuanpan.com/source/search.action?q=hello¤tPage=1
翻页你会发现只要是包含hello的单词都找到了，但是如果你用like的话是不会有这个效果的，不信让我们再看一下，还好他来说电影网的分词算法我还没来得及修改，还可以看到现象：
http://www.talaishuo.com/searchResult.do?searchFileName=hello
你会发现只有开始包含hello这个字段的搜索串才能得到匹配，这就问题来了，数据库中大量的资源岂不是白白浪费了，不过没事，伟大的人类还是很聪明的，发明了分词，分词的原理我就不讲了，请自己百度吧，还是直接上代码，提示，这里需要四个jar包作为工具，我先上传的去转盘，想要做分词的请先下载：
分词包下载地址1
分词包下载地址2
直接看代码：
package com.tray.indexData;
import java.io.File;
import java.io.IOException;
import java.io.StringReader;
import java.math.BigInteger;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.TokenStream;
import org.apache.lucene.document.Document;
import org.apache.lucene.document.Fieldable;
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.IndexWriterConfig.OpenMode;
import org.apache.lucene.index.Term;
import org.apache.lucene.queryParser.MultiFieldQueryParser;
import org.apache.lucene.queryParser.QueryParser;
import org.apache.lucene.search.IndexSearcher;
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.TopDocs;
import org.apache.lucene.search.TopScoreDocCollector;
import org.apache.lucene.search.WildcardQuery;
import org.apache.lucene.search.highlight.Highlighter;
import org.apache.lucene.search.highlight.QueryScorer;
import org.apache.lucene.search.highlight.SimpleHTMLFormatter;
import org.apache.lucene.store.Directory;
import org.apache.lucene.store.FSDirectory;
import org.apache.lucene.util.Version;
import org.wltea.analyzer.lucene.IKAnalyzer;
import com.tray.bean.SerachResult;
import com.tray.common.tools.DateFormater;
public class LuceneSearch {
private static String DISC_URL = "/home/indexData/data";
static {
String os = System.getProperty("os.name");
if(os.toLowerCase().startsWith("win")){
DISC_URL = "E:\\indexData\\data";
}
else{
DISC_URL ="/home/indexData/data";
}
}
//指定分词器
private Analyzer analyzer=new IKAnalyzer();
private static Directory directory;
//配置
private static IndexWriterConfig iwConfig;
//配置IndexWriter
private static IndexWriter writer;
private static File indexFile = null;
private static Version version = Version.LUCENE_36;
private final int PAPGESIZE=10;
/**
* 全量索引
* @Author haoning
*/
public void init() throws Exception {
try {
indexFile = new File(DISC_URL);
if (!indexFile.exists()) {
indexFile.mkdir();
}
directory=FSDirectory.open(indexFile);
//配置IndexWriterConfig
iwConfig = new IndexWriterConfig(version,analyzer);
iwConfig.setOpenMode(OpenMode.CREATE_OR_APPEND);
//创建写索引对象
writer = new IndexWriter(directory,iwConfig);
} catch (Exception e) {
}
}
public void closeWriter(){
try {
writer.close();
} catch (CorruptIndexException e) {
e.printStackTrace();
} catch (IOException e) {
e.printStackTrace();
}
}
public void commit(){
try {
writer.commit();
} catch (CorruptIndexException e) {
e.printStackTrace();
} catch (IOException e) {
e.printStackTrace();
}
}
/**
* 一个一个索引
* @Author haoning
*/
public void singleIndex(Document doc) throws Exception {
writer.addDocument(doc);
}
/**
* 一个跟新
* @Author haoning
*/
public void singleUpdate(Document doc) throws Exception {
Term term = new Term("url", doc.get("url"));
writer.updateDocument(term,doc);
}
/**
* 全量索引
* @Author haoning
*/
public void fullIndex(Document[] documentes) throws Exception {
writer.deleteAll();
for (Document document : documentes) {
writer.addDocument(document);
}
writer.commit();
}
/**
* 根据id删除索引
* @Author haoning
*/
public void deleteIndex(Document document)throws Exception{
Term term = new Term("url", document.get("url"));//url才是唯一标志
writer.deleteDocuments(term);
writer.commit();
}
/**
* 根据id增量索引
* @Author haoning
*/
public void updateIndex(Document[] documentes) throws Exception{
for (Document document : documentes) {
Term term = new Term("url", document.get("url"));
writer.updateDocument(term, document);
}
writer.commit();
}
/**
* 直接查询
* @Author haoning
*/
public void simpleSearch(String filedStr,String queryStr,int page, int pageSize) throws Exception{
File indexDir = new File(DISC_URL);
//索引目录
Directory dir=FSDirectory.open(indexDir);
//根据索引目录创建读索引对象
IndexReader reader = IndexReader.open(dir);
//搜索对象创建
IndexSearcher searcher = new IndexSearcher(reader);
TopScoreDocCollector topCollector = TopScoreDocCollector.create(searcher.maxDoc(), false);
Term term = new Term(filedStr, queryStr);
Query query = new TermQuery(term);
searcher.search(query, topCollector);
ScoreDoc[] docs = topCollector.topDocs((page-1)*pageSize, pageSize).scoreDocs;
printScoreDoc(docs, searcher);
}
/**
* 高亮查询
* @Author haoning
*/
public Map<String, Object> highLightSearch(String filed,String keyWord,int curpage, int pageSize) throws Exception{
List<SerachResult> list=new ArrayList<SerachResult>();
Map<String,Object> map = new HashMap<String,Object>();
if (curpage <= 0) {
curpage = 1;
}
if (pageSize <= 0 || pageSize>20) {
pageSize = PAPGESIZE;
}
File indexDir = new File(DISC_URL); //索引目录
Directory dir=FSDirectory.open(indexDir);//根据索引目录创建读索引对象
IndexReader reader = IndexReader.open(dir);//搜索对象创建
IndexSearcher searcher = new IndexSearcher(reader);
int start = (curpage - 1) * pageSize;
Analyzer analyzer = new IKAnalyzer(true);
QueryParser queryParser = new QueryParser(Version.LUCENE_36, filed, analyzer);
queryParser.setDefaultOperator(QueryParser.AND_OPERATOR);
Query query = queryParser.parse(keyWord);
int hm = start + pageSize;
TopScoreDocCollector res = TopScoreDocCollector.create(hm, false);
searcher.search(query, res);
SimpleHTMLFormatter simpleHTMLFormatter = new SimpleHTMLFormatter("<span style='color:red'>", "</span>");
Highlighter highlighter = new Highlighter(simpleHTMLFormatter, new QueryScorer(query));
long amount = res.getTotalHits();
//long pages = (rowCount - 1) / pageSize + 1; //计算总页数
map.put("amount",amount);//总共多少条记录
TopDocs tds = res.topDocs(start, pageSize);
ScoreDoc[] sd = tds.scoreDocs;
for (int i = 0; i < sd.length; i++) {
Document doc = searcher.doc(sd[i].doc);
String temp=doc.get("name");
//做高亮处理
TokenStream ts = analyzer.tokenStream("name", new StringReader(temp));
SerachResult record=new SerachResult();
String name = highlighter.getBestFragment(ts,temp);
String skydirverName=doc.get("skydirverName");
String username=doc.get("username");
String shareTime=doc.get("shareTime");
String describ=doc.get("describ");
String typeId=doc.get("typeId");
String id=doc.get("id");
String url=doc.get("url");
record.setName(name);
record.setSkydriverName(skydirverName);
record.setUsername(username);
record.setShareTime(DateFormater.getFormatDate(shareTime,"yyyy-MM-dd HH:mm:ss"));
record.setDescrib(describ);
record.setTypeId(Integer.parseInt(typeId));
record.setId(new BigInteger(id));
record.setUrl(url);
list.add(record);
/*System.out.println("name:"+name);
System.out.println("skydirverName:"+skydirverName);
System.out.println("username:"+username);
System.out.println("shareTime:"+shareTime);
System.out.println("describ:"+describ);
System.out.println("typeId:"+typeId);
System.out.println("id:"+id);
System.out.println("url:"+url);*/
}
map.put("source",list);
return map;
}
/**
* 根据前缀查询
* @Author haoning
*/
public void prefixSearch(String filedStr,String queryStr) throws Exception{
File indexDir = new File(DISC_URL);
//索引目录
Directory dir=FSDirectory.open(indexDir);
//根据索引目录创建读索引对象
IndexReader reader = IndexReader.open(dir);
//搜索对象创建
IndexSearcher searcher = new IndexSearcher(reader);
Term term = new Term(filedStr, queryStr);
Query query = new PrefixQuery(term);
ScoreDoc[] docs = searcher.search(query, 3).scoreDocs;
printScoreDoc(docs, searcher);
}
/**
* 通配符查询
* @Author haoning
*/
public void wildcardSearch(String filedStr,String queryStr) throws Exception{
File indexDir = new File(DISC_URL);
//索引目录
Directory dir=FSDirectory.open(indexDir);
//根据索引目录创建读索引对象
IndexReader reader = IndexReader.open(dir);
//搜索对象创建
IndexSearcher searcher = new IndexSearcher(reader);
Term term = new Term(filedStr, queryStr);
Query query = new WildcardQuery(term);
ScoreDoc[] docs = searcher.search(query, 3).scoreDocs;
printScoreDoc(docs, searcher);
}
/**
* 分词查询
* @Author haoning
*/
public void analyzerSearch(String filedStr,String queryStr) throws Exception{
File indexDir = new File(DISC_URL);
//索引目录
Directory dir=FSDirectory.open(indexDir);
//根据索引目录创建读索引对象
IndexReader reader = IndexReader.open(dir);
//搜索对象创建
IndexSearcher searcher = new IndexSearcher(reader);
QueryParser queryParser = new QueryParser(version, filedStr, analyzer);
Query query = queryParser.parse(queryStr);
ScoreDoc[] docs = searcher.search(query, 3).scoreDocs;
printScoreDoc(docs, searcher);
}
/**
* 多属性分词查询
* @Author haoning
*/
public void multiAnalyzerSearch(String[] filedStr,String queryStr) throws Exception{
File indexDir = new File(DISC_URL);
//索引目录
Directory dir=FSDirectory.open(indexDir);
//根据索引目录创建读索引对象
IndexReader reader = IndexReader.open(dir);
//搜索对象创建
IndexSearcher searcher = new IndexSearcher(reader);
QueryParser queryParser = new MultiFieldQueryParser(version, filedStr, analyzer);
Query query = queryParser.parse(queryStr);
ScoreDoc[] docs = searcher.search(query, 3).scoreDocs;
printScoreDoc(docs, searcher);
}
public void printScoreDoc(ScoreDoc[] docs,IndexSearcher searcher)throws Exception{
for (int i = 0; i < docs.length; i++) {
List<Fieldable> list = searcher.doc(docs[i].doc).getFields();
for (Fieldable fieldable : list) {
String fieldName = fieldable.name();
String fieldValue = fieldable.stringValue();
System.out.println(fieldName+" : "+fieldValue);
}
}
}
}
注意由于去转盘网（http://www.quzhuanpan.com)是部署到linux上的，所以DISC_URL可以更具系统变换，我是通过url来判定索引文件是否唯一的，你可以更具id来判断，具体情况具体对待吧。
package com.tray.indexData;
import java.sql.SQLException;
import org.apache.lucene.document.Document;
import org.apache.lucene.document.Field;
import com.mysql.jdbc.Connection;
import com.mysql.jdbc.ResultSet;
import com.mysql.jdbc.Statement;
public class IndexFile {
private static Connection conn = null;
private static Statement stmt = null;
private final int NUM=500000;
private LuceneSearch ls;
private long count=0;
public ResultSet deal6SourceTable(String tableName) throws SQLException{
String sql = "SELECT distinct `NAME`,SKYDRIVER_NAME,USERNAME,SHARE_TIME,DESCRIB,TYPE_ID,ID,URL FROM "+tableName+" where STATUS=1 and TYPE_ID !='-1' and (TYPE_NAME is null or TYPE_NAME!=1) limit "+NUM;
//System.out.println(sql);
ResultSet rs = (ResultSet) stmt.executeQuery(sql);
return rs;
}
public void update6SourceTable(String tableName) throws SQLException{
Statement st = (Statement) conn.createStatement();
String sql = "update "+tableName+" set TYPE_NAME=1 where STATUS=1 and TYPE_ID !='-1' and (TYPE_NAME is null or TYPE_NAME!=1) limit "+NUM;
//System.out.println("update"+sql);
try {
st.executeUpdate(sql);
} catch (SQLException e) {
e.printStackTrace();
}
}
public void indexInit(){//数据库+lcene初始化
conn = (Connection) JdbcUtil.getConnection();
if(conn == null) {
try {
throw new Exception("数据库连接失败！");
} catch (Exception e) {
e.printStackTrace();
}
}
ls=new LuceneSearch();
try {
ls.init();
} catch (Exception e2) {
e2.printStackTrace();
}
}
public void indexEnd(){//数据库+lcene关闭
ls.closeWriter();
try {
conn.close();//关闭数据库
} catch (SQLException e) {
e.printStackTrace();
}
}
public void Index6Data() throws SQLException{
try {
stmt = (Statement) conn.createStatement();
} catch (SQLException e1) {
e1.printStackTrace();
}
ResultSet r1=null;
ResultSet r2=null;
ResultSet r3=null;
ResultSet r4=null;
ResultSet r5=null;
ResultSet r6=null;
boolean stop=false;
do{
r1=deal6SourceTable("film_and_tv_info");
stop=this.createIndex(r1,ls,"1"); //给数据库创建索引,此处执行一次，不要每次运行都创建索引，以后数据有更新可以后台调用更新索引
if(!stop){
ls.commit();//加个判断条件
}
//System.out.println("stop"+stop);
}while(!stop);
stop=false;
do{
r2=deal6SourceTable("music_and_mv_info");
stop=this.createIndex(r2,ls,"2"); //给数据库创建索引,此处执行一次，不要每次运行都创建索引，以后数据有更新可以后台调用更新索引
if(!stop){
ls.commit();//加个判断条件
}
}while(!stop);
stop=false;
do{
r3=deal6SourceTable("e_book_info");
stop=this.createIndex(r3,ls,"3"); //给数据库创建索引,此处执行一次，不要每次运行都创建索引，以后数据有更新可以后台调用更新索引
if(!stop){
ls.commit();//加个判断条件
}
}while(!stop);
stop=false;
do{
r4=deal6SourceTable("bt_file_info");
stop=this.createIndex(r4,ls,"4"); //给数据库创建索引,此处执行一次，不要每次运行都创建索引，以后数据有更新可以后台调用更新索引
if(!stop){
ls.commit();//加个判断条件
}
}while(!stop);
stop=false;
do{
r5=deal6SourceTable("characteristic_software_info");
stop=this.createIndex(r5,ls,"5"); //给数据库创建索引,此处执行一次，不要每次运行都创建索引，以后数据有更新可以后台调用更新索引
if(!stop){
ls.commit();//加个判断条件
}
}while(!stop);
stop=false;
do{
r6=deal6SourceTable("source_code_info");
stop=this.createIndex(r6,ls,"6"); //给数据库创建索引,此处执行一次，不要每次运行都创建索引，以后数据有更新可以后台调用更新索引
if(!stop){
ls.commit();//加个判断条件
}
}while(!stop);
stop=false;
}
public ResultSet deal2Share(String tableName) throws SQLException{
String sql = "SELECT distinct NAME,SKYDRIVER_NAME,USERNAME,SHARE_TIME,DESCRIB,TYPE_ID,ID,SHORTURL from "+tableName+" where STATUS=1 and FS_ID ='1' limit "+NUM; //利用FS_ID这个字段，没什么用处
ResultSet rs = (ResultSet) stmt.executeQuery(sql);
return rs;
}
public ResultSet deal3Share(String tableName) throws SQLException{
String sql = "SELECT distinct title,channel,uid,ctime,description,port,id,shorturl from "+tableName+" where name ='1' limit "+NUM;
ResultSet rs = (ResultSet) stmt.executeQuery(sql);
return rs;
}
public void Index3Data() throws SQLException{
try {
stmt = (Statement) conn.createStatement();
} catch (SQLException e1) {
e1.printStackTrace();
}
ResultSet r1=null;
ResultSet r2=null;
ResultSet r3=null;
boolean stop=false;
do{
r1=deal2Share("share1");
stop=this.createIndex(r1,ls,"7"); //给数据库创建索引,此处执行一次，不要每次运行都创建索引，以后数据有更新可以后台调用更新索引
if(!stop){
ls.commit();//加个判断条件
}
//System.out.println("stop"+stop);
}while(!stop);
stop=false;
do{
r2=deal2Share("share2");
stop=this.createIndex(r2,ls,"8"); //给数据库创建索引,此处执行一次，不要每次运行都创建索引，以后数据有更新可以后台调用更新索引
if(!stop){
ls.commit();//加个判断条件
}
}while(!stop);
stop=false;
do{
r3=deal3Share("share3");
stop=this.createIndex(r3,ls,"9"); //给数据库创建索引,此处执行一次，不要每次运行都创建索引，以后数据有更新可以后台调用更新索引
if(!stop){
ls.commit();//加个判断条件
}
}while(!stop);
stop=false;
}
public void update2ShareTable(String tableName) throws SQLException{
Statement st = (Statement) conn.createStatement();
String sql = "update "+tableName+" set FS_ID=0 where STATUS=1 and FS_ID ='1' limit "+NUM; //利用FS_ID这个字段，没什么用处
//System.out.println("update"+sql);
try {
st.executeUpdate(sql);
} catch (SQLException e) {
e.printStackTrace();
}
}
public void update3ShareTable(String tableName) throws SQLException{
Statement st = (Statement) conn.createStatement();
String sql = "update "+tableName+" set name=0 where name ='1' limit "+NUM;
//System.out.println("update"+sql);
try {
st.executeUpdate(sql);
} catch (SQLException e) {
e.printStackTrace();
}
}
public boolean createIndex(ResultSet rs,LuceneSearch ls,String mark) {
try {
String tableName=null;
if(mark.equals("1")){
tableName="film_and_tv_info";
}
if(mark.equals("2")){
tableName="music_and_mv_info";
}
if(mark.equals("3")){
tableName="e_book_info";
}
if(mark.equals("4")){
tableName="bt_file_info";
}
if(mark.equals("5")){
tableName="characteristic_software_info";
}
if(mark.equals("6")){
tableName="source_code_info";
}
if(mark.equals("7")){
tableName="share1";
}
if(mark.equals("8")){
tableName="share2";
}
if(mark.equals("9")){
tableName="share3";
}
boolean isNull=rs.next();
//System.out.println("hehe"+isNull);
if(isNull==false){
return true;//处理完毕
}
while(isNull){
if(Integer.parseInt(mark)>=1&&Integer.parseInt(mark)<=8){
Document doc = new Document();
//System.out.println("name"+rs.getString("NAME"));
Field name = new Field("name",rs.getString("NAME"),Field.Store.YES,Field.Index.ANALYZED);
String skName=rs.getString("SKYDRIVER_NAME");
if(skName==null){
skName="百度";
}
Field skydirverName = new Field("skydirverName",skName, Field.Store.YES,Field.Index.NOT_ANALYZED);
Field username = new Field("username",rs.getString("USERNAME"),Field.Store.YES, Field.Index.ANALYZED);
Field shareTime = new Field("shareTime",rs.getString("SHARE_TIME"), Field.Store.YES,Field.Index.NOT_ANALYZED);
String desb=rs.getString("DESCRIB");
if(desb==null){
desb="-1";
}
Field describ = new Field("describ",desb,Field.Store.NO,Field.Index.NOT_ANALYZED);
Field typeId = new Field("typeId",rs.getString("TYPE_ID"), Field.Store.YES,Field.Index.NOT_ANALYZED);
Field id = new Field("id",rs.getString("ID"),Field.Store.YES,Field.Index.NOT_ANALYZED);
Field url =null;
if(Integer.parseInt(mark)>=7&&Integer.parseInt(mark)<=8){
url = new Field("url",rs.getString("SHORTURL"), Field.Store.YES,Field.Index.ANALYZED);
}
else{
url = new Field("url",rs.getString("URL"), Field.Store.YES,Field.Index.ANALYZED);
}
doc.add(name);
doc.add(skydirverName);
doc.add(username);
doc.add(shareTime);
doc.add(describ);
doc.add(typeId);
doc.add(id);
doc.add(url);
ls.singleUpdate(doc);//用跟新更为合适
isNull=rs.next();
}
else{
Document doc = new Document();
//System.out.println("title"+rs.getString("title"));
Field name = new Field("name",rs.getString("title"),Field.Store.YES,Field.Index.ANALYZED);
String skName=rs.getString("channel");
Field skydirverName = new Field("skydirverName",skName, Field.Store.YES,Field.Index.NOT_ANALYZED);
Field username = new Field("username",rs.getString("uid"),Field.Store.YES, Field.Index.ANALYZED);
Field shareTime = new Field("shareTime",rs.getString("ctime"), Field.Store.YES,Field.Index.NOT_ANALYZED);
String desb=rs.getString("description");
if(desb==null){
desb="-1";
}
Field describ = new Field("describ",desb,Field.Store.NO,Field.Index.NOT_ANALYZED);
Field typeId = new Field("typeId",rs.getString("port"), Field.Store.YES,Field.Index.NOT_ANALYZED);
Field id = new Field("id",rs.getString("id"),Field.Store.YES,Field.Index.NOT_ANALYZED);
Field url = new Field("url",rs.getString("shorturl"), Field.Store.YES,Field.Index.ANALYZED);
doc.add(name);
doc.add(skydirverName);
doc.add(username);
doc.add(shareTime);
doc.add(describ);
doc.add(typeId);
doc.add(id);
doc.add(url);
ls.singleUpdate(doc);//用跟新更为合适
isNull=rs.next();
}
count=count+1;
}
if(Integer.parseInt(mark)>=1&&Integer.parseInt(mark)<=6){
update6SourceTable(tableName);//处理完成后做标志
}
else if(Integer.parseInt(mark)>=7&&Integer.parseInt(mark)<=8){
update2ShareTable(tableName);//处理完成后做标志
}
else{
update3ShareTable(tableName);//处理完成后做标志
}
System.out.println("Has index "+count+"条数据，数据来自表"+tableName);
} catch (Exception e) {
e.printStackTrace();
}
return false;
}
}
数据库之类的请不要关心，看思路即可，你如果需要换成你的即可，这里就不多说了。
看最后的部分：
package com.tray.indexData;
import java.sql.SQLException;
public class Application {
public static void main(String[] args){
/*IndexFile indexFile=new IndexFile();
indexFile.indexInit();
try {
indexFile.Index6Data();
} catch (SQLException e1) {
e1.printStackTrace();
}
indexFile.indexEnd();*/
IndexFile indexFile1=new IndexFile();
indexFile1.indexInit();
try {
indexFile1.Index3Data();
} catch (SQLException e1) {
e1.printStackTrace();
}
indexFile1.indexEnd();
LuceneSearch lch=new LuceneSearch();
try {
long a = System.currentTimeMillis();
lch.highLightSearch("name", "flv", 1,3);
long b = System.currentTimeMillis();
long c = b - a;
System.out.println("[高级检索花费时间：" + c + "毫秒]");
} catch (Exception e) {
e.printStackTrace();
}
}
}
你可以在一个applicationic程序中开始索引，也可以写个定时器来定时索引，看需求。以上代码是楼主幸苦的作品，转载请不要改动，本人确保代码完全可用。