try to: lucene文章搜索

- lucene文章搜索分页跳转
- lucene索引创建
This commit is contained in:
suwen 2021-02-03 16:25:59 +08:00
parent 90403f9b26
commit 6e36e9df65
11 changed files with 488 additions and 402 deletions

3
.gitignore vendored
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@ -30,3 +30,6 @@ build/
### VS Code ###
.vscode/
### lucene ###
index

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@ -0,0 +1,88 @@
package com.rymcu.forest.lucene.api;
import com.github.pagehelper.Page;
import com.github.pagehelper.PageInfo;
import com.rymcu.forest.core.result.GlobalResult;
import com.rymcu.forest.core.result.GlobalResultGenerator;
import com.rymcu.forest.dto.ArticleDTO;
import com.rymcu.forest.lucene.model.ArticleLucene;
import com.rymcu.forest.lucene.service.LuceneService;
import com.rymcu.forest.util.Utils;
import lombok.extern.log4j.Log4j2;
import org.springframework.web.bind.annotation.*;
import javax.annotation.Resource;
import java.util.List;
/**
* LuceneSearchController
*
* @author suwen
* @date 2021/2/3 10:41
*/
@Log4j2
@RestController
@RequestMapping("/api/v1/lucene")
public class LuceneSearchController {
@Resource private LuceneService luceneService;
@GetMapping("/getArticles")
public GlobalResult createIndex() {
return GlobalResultGenerator.genSuccessResult(luceneService.getAllArticleLucene());
}
@GetMapping("/getArticlesByIds")
public GlobalResult getArticlesByIds() {
return GlobalResultGenerator.genSuccessResult(
luceneService.getArticlesByIds(new String[] {"1", "2", "3"}));
}
@GetMapping("/createIndex")
public GlobalResult createIndex(
@RequestParam(required = false, defaultValue = "0") Integer limit,
@RequestParam(required = false, defaultValue = "1000") Integer offset) {
// 拉取数据
luceneService.writeArticle(luceneService.getAllArticleLucene());
return GlobalResultGenerator.genSuccessResult("创建索引成功");
}
/**
* 搜索实现高亮
*
* @param q
* @return
*/
@GetMapping("/searchArticle/{q}")
public GlobalResult searchArticle(
@PathVariable String q,
@RequestParam(defaultValue = "1") Integer pageNum,
@RequestParam(defaultValue = "10") Integer pageSize) {
// 找出相关文章相关度倒序
List<ArticleLucene> resList = luceneService.searchArticle(q);
// 分页组装文章详情
int total = resList.size();
if (total == 0) {
return GlobalResultGenerator.genSuccessResult("未找到相关文章");
}
Page<ArticleDTO> page = new Page<>(pageNum, pageSize);
page.setTotal(total);
int startIndex = (pageNum - 1) * pageSize;
int endIndex = Math.min(startIndex + pageSize, total);
// 分割子列表
List<ArticleLucene> subList = resList.subList(startIndex, endIndex);
String[] ids = subList.stream().map(ArticleLucene::getIdArticle).toArray(String[]::new);
List<ArticleDTO> articleDTOList = luceneService.getArticlesByIds(ids);
ArticleDTO temp;
// 写入文章关键词信息
for (int i = 0; i < articleDTOList.size(); i++) {
temp = articleDTOList.get(i);
temp.setArticleTitle(subList.get(i).getArticleTitle());
temp.setArticlePreviewContent(subList.get(i).getArticleContent());
articleDTOList.set(i, temp);
}
page.addAll(articleDTOList);
PageInfo<ArticleDTO> pageInfo = new PageInfo<>(page);
return GlobalResultGenerator.genSuccessResult(Utils.getArticlesGlobalResult(pageInfo));
}
}

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@ -1,72 +0,0 @@
package com.rymcu.forest.lucene.api;
import com.rymcu.forest.dto.ArticleDTO;
import com.rymcu.forest.dto.ArticleSearchDTO;
import com.rymcu.forest.lucene.mapper.BaikeMapper;
import com.rymcu.forest.lucene.model.Baike;
import com.rymcu.forest.lucene.service.SearchService;
import com.rymcu.forest.service.ArticleService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.PathVariable;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import org.springframework.web.servlet.ModelAndView;
import java.util.List;
import java.util.Map;
@RestController
@RequestMapping("/api/v1/lucene")
public class SearchController {
@Autowired private BaikeMapper baikeMapper;
@Autowired private SearchService searchService;
@Autowired private ArticleService articleService;
@GetMapping("/index")
public String createIndex(int limit, int offset) {
// 拉取数据
List<Baike> baikes = baikeMapper.getAllBaike(limit, offset);
searchService.write(baikes);
return "成功";
}
@GetMapping("/indexArticle")
public String createArticleIndex() {
// 拉取数据
List<ArticleDTO> list = articleService.findArticles(new ArticleSearchDTO());
searchService.writeArticle(list);
return "成功";
}
/**
* 搜索实现高亮
*
* @param q
* @return
* @throws Exception
*/
@GetMapping("/search/{q}")
public List<Map<String, String>> getSearchText(@PathVariable String q) throws Exception {
return searchService.search(q);
}
/**
* 搜索实现高亮
*
* @param q
* @return
* @throws Exception
*/
@GetMapping("/searchArticle/{q}")
public List<?> searchArticle(@PathVariable String q) throws Exception {
return searchService.searchArticle(q);
}
@GetMapping(value = "/search")
public ModelAndView test(ModelAndView mv) {
mv.setViewName("/search");
return mv;
}
}

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@ -1,8 +1,6 @@
package com.rymcu.forest.lucene.lucene;
import com.rymcu.forest.dto.ArticleDTO;
import com.rymcu.forest.lucene.model.Baike;
import com.rymcu.forest.lucene.model.ArticleLucene;
import org.apache.lucene.document.Document;
import org.apache.lucene.document.Field;
import org.apache.lucene.document.TextField;
@ -19,32 +17,39 @@ import java.util.concurrent.CountDownLatch;
* @author suwen
* @date 2021/2/2 14:10
*/
public class ArticleBeanIndex extends BaseIndex<ArticleDTO>{
public class ArticleBeanIndex extends BaseIndex<ArticleLucene> {
public ArticleBeanIndex(IndexWriter writer, CountDownLatch countDownLatch1,
CountDownLatch countDownLatch2, List<ArticleDTO> list) {
public ArticleBeanIndex(
IndexWriter writer,
CountDownLatch countDownLatch1,
CountDownLatch countDownLatch2,
List<ArticleLucene> list) {
super(writer, countDownLatch1, countDownLatch2, list);
}
public ArticleBeanIndex(String parentIndexPath, int subIndex, CountDownLatch countDownLatch1,
CountDownLatch countDownLatch2, List<ArticleDTO> list) {
public ArticleBeanIndex(
String parentIndexPath,
int subIndex,
CountDownLatch countDownLatch1,
CountDownLatch countDownLatch2,
List<ArticleLucene> list) {
super(parentIndexPath, subIndex, countDownLatch1, countDownLatch2, list);
}
@Override
public void indexDoc(IndexWriter writer, ArticleDTO t) throws Exception {
public void indexDoc(IndexWriter writer, ArticleLucene t) throws Exception {
Document doc = new Document();
Field id = new Field("id", t.getIdArticle()+"", TextField.TYPE_STORED);
Field id = new Field("id", t.getIdArticle() + "", TextField.TYPE_STORED);
Field title = new Field("title", t.getArticleTitle(), TextField.TYPE_STORED);
Field summary = new Field("summary", t.getArticleContent(), TextField.TYPE_STORED);
//添加到Document中
// 添加到Document中
doc.add(id);
doc.add(title);
doc.add(summary);
if (writer.getConfig().getOpenMode() == IndexWriterConfig.OpenMode.CREATE){
if (writer.getConfig().getOpenMode() == IndexWriterConfig.OpenMode.CREATE) {
writer.addDocument(doc);
}else{
writer.updateDocument(new Term("id", t.getIdArticle()+""), doc);
} else {
writer.updateDocument(new Term("id", t.getIdArticle() + ""), doc);
}
}
}

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@ -0,0 +1,33 @@
package com.rymcu.forest.lucene.mapper;
import com.rymcu.forest.dto.ArticleDTO;
import com.rymcu.forest.lucene.model.ArticleLucene;
import org.apache.ibatis.annotations.Mapper;
import org.apache.ibatis.annotations.Param;
import java.util.List;
/**
* ArticleLuceneMapper
*
* @author suwen
* @date 2021/2/3 10:00
*/
@Mapper
public interface ArticleLuceneMapper {
/**
* 加载所有文章内容
*
* @return
*/
List<ArticleLucene> getAllArticleLucene();
/**
* 加载所有文章内容
*
* @param ids 文章id(半角逗号分隔)
* @return
*/
List<ArticleDTO> getArticlesByIds(@Param("ids") String[] ids);
}

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@ -0,0 +1,39 @@
package com.rymcu.forest.lucene.model;
import lombok.AllArgsConstructor;
import lombok.Builder;
import lombok.Data;
import lombok.NoArgsConstructor;
/**
* ArticleLucene
*
* @author suwen
* @date 2021/2/3 09:57
*/
@Data
@Builder
@NoArgsConstructor
@AllArgsConstructor
public class ArticleLucene {
/**
* 文章编号
*/
private String idArticle;
/**
* 文章标题
*/
private String articleTitle;
/**
* 文章内容
*/
private String articleContent;
/**
* 相关度评分
*/
private String score;
}

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package com.rymcu.forest.lucene.service;
import com.rymcu.forest.dto.ArticleDTO;
import com.rymcu.forest.lucene.model.ArticleLucene;
import java.util.List;
/**
* LuceneService
*
* @author suwen
* @date 2021/2/3 10:10
*/
public interface LuceneService {
/**
* 将文章的数据解析为一个个关键字词存储到索引文件中
*
* @param list
*/
void writeArticle(List<ArticleLucene> list);
/**
* 关键词搜索
*
* @param value
* @return
* @throws Exception
*/
List<ArticleLucene> searchArticle(String value);
/**
* 加载所有文章内容
*
* @return
*/
List<ArticleLucene> getAllArticleLucene();
/**
* 加载所有文章内容
*
* @param ids 文章id(半角逗号分隔)
* @return
*/
List<ArticleDTO> getArticlesByIds(String[] ids);
}

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@ -1,281 +0,0 @@
package com.rymcu.forest.lucene.service;
import com.rymcu.forest.dto.ArticleDTO;
import com.rymcu.forest.lucene.lucene.ArticleBeanIndex;
import com.rymcu.forest.lucene.lucene.BaiKeBeanIndex;
import com.rymcu.forest.lucene.lucene.IKAnalyzer;
import com.rymcu.forest.lucene.model.Baike;
import com.rymcu.forest.lucene.util.SearchUtil;
import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.TokenStream;
import org.apache.lucene.document.Document;
import org.apache.lucene.queryparser.classic.MultiFieldQueryParser;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.Query;
import org.apache.lucene.search.ScoreDoc;
import org.apache.lucene.search.TopDocs;
import org.apache.lucene.search.highlight.*;
import org.springframework.stereotype.Service;
import java.io.BufferedReader;
import java.io.IOException;
import java.io.InputStreamReader;
import java.nio.charset.StandardCharsets;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
/**
* SearchService
*
* @author suwen
* @date 2021/2/2 14:01
*/
@Service
public class SearchService {
/** Lucene索引文件路径 */
private final String indexPath = System.getProperty("user.dir") + "/index";
/**
* 封裝一个方法用于将数据库中的数据解析为一个个关键字词存储到索引文件中
*
* @param baikes
*/
public void write(List<Baike> baikes) {
try {
int totalCount = baikes.size();
int perThreadCount = 3000;
int threadCount = totalCount / perThreadCount + (totalCount % perThreadCount == 0 ? 0 : 1);
ExecutorService pool = Executors.newFixedThreadPool(threadCount);
CountDownLatch countDownLatch1 = new CountDownLatch(1);
CountDownLatch countDownLatch2 = new CountDownLatch(threadCount);
for (int i = 0; i < threadCount; i++) {
int start = i * perThreadCount;
int end = Math.min((i + 1) * perThreadCount, totalCount);
List<Baike> subList = baikes.subList(start, end);
Runnable runnable =
new BaiKeBeanIndex("index", i, countDownLatch1, countDownLatch2, subList);
// 子线程交给线程池管理
pool.execute(runnable);
}
countDownLatch1.countDown();
System.out.println("开始创建索引");
// 等待所有线程都完成
countDownLatch2.await();
// 线程全部完成工作
System.out.println("所有线程都创建索引完毕");
// 释放线程池资源
pool.shutdown();
} catch (Exception e) {
e.printStackTrace();
}
}
/**
* 封裝一个方法用于将数据库中的数据解析为一个个关键字词存储到索引文件中
*
* @param list
*/
public void writeArticle(List<ArticleDTO> list) {
try {
int totalCount = list.size();
int perThreadCount = 3000;
int threadCount = totalCount / perThreadCount + (totalCount % perThreadCount == 0 ? 0 : 1);
ExecutorService pool = Executors.newFixedThreadPool(threadCount);
CountDownLatch countDownLatch1 = new CountDownLatch(1);
CountDownLatch countDownLatch2 = new CountDownLatch(threadCount);
for (int i = 0; i < threadCount; i++) {
int start = i * perThreadCount;
int end = Math.min((i + 1) * perThreadCount, totalCount);
List<ArticleDTO> subList = list.subList(start, end);
Runnable runnable =
new ArticleBeanIndex("articlesIndex", i, countDownLatch1, countDownLatch2, subList);
// 子线程交给线程池管理
pool.execute(runnable);
}
countDownLatch1.countDown();
System.out.println("开始创建索引");
// 等待所有线程都完成
countDownLatch2.await();
// 线程全部完成工作
System.out.println("所有线程都创建索引完毕");
// 释放线程池资源
pool.shutdown();
} catch (Exception e) {
e.printStackTrace();
}
}
/**
* 搜索
*
* @param value
* @return
* @throws Exception
*/
public List<Map<String, String>> search(String value) throws Exception {
List<Map<String, String>> list = new ArrayList<>();
ExecutorService service = Executors.newCachedThreadPool();
// 定义分词器
Analyzer analyzer = new IKAnalyzer();
try {
IndexSearcher searcher = SearchUtil.getIndexSearcherByParentPath(indexPath, service);
String[] fields = {"title", "summary"};
// 构造Query对象
MultiFieldQueryParser parser = new MultiFieldQueryParser(fields, analyzer);
BufferedReader in =
new BufferedReader(new InputStreamReader(System.in, StandardCharsets.UTF_8));
String line = value != null ? value : in.readLine();
Query query = parser.parse(line);
// 最终被分词后添加的前缀和后缀处理器默认是粗体<B></B>
SimpleHTMLFormatter htmlFormatter =
new SimpleHTMLFormatter("<font color=" + "\"" + "red" + "\"" + ">", "</font>");
// 高亮搜索的词添加到高亮处理器中
Highlighter highlighter = new Highlighter(htmlFormatter, new QueryScorer(query));
// 获取搜索的结果指定返回document返回的个数
// 默认搜索结果为显示第一页1000 可以优化
TopDocs results = SearchUtil.getScoreDocsByPerPage(1, 100, searcher, query);
ScoreDoc[] hits = results.scoreDocs;
// 遍历输出
for (ScoreDoc hit : hits) {
int id = hit.doc;
float score = hit.score;
Document hitDoc = searcher.doc(hit.doc);
Map<String, String> map = new HashMap<>();
map.put("id", hitDoc.get("id"));
// 获取到summary
String name = hitDoc.get("summary");
// 将查询的词和搜索词匹配匹配到添加前缀和后缀
TokenStream tokenStream =
TokenSources.getAnyTokenStream(searcher.getIndexReader(), id, "summary", analyzer);
// 传入的第二个参数是查询的值
TextFragment[] frag = highlighter.getBestTextFragments(tokenStream, name, false, 10);
StringBuilder baikeValue = new StringBuilder();
for (TextFragment textFragment : frag) {
if ((textFragment != null) && (textFragment.getScore() > 0)) {
// if ((frag[j] != null)) {
// 获取 summary 的值
baikeValue.append(textFragment.toString());
}
}
// 获取到title
String title = hitDoc.get("title");
TokenStream titleTokenStream =
TokenSources.getAnyTokenStream(searcher.getIndexReader(), id, "title", analyzer);
TextFragment[] titleFrag =
highlighter.getBestTextFragments(titleTokenStream, title, false, 10);
StringBuilder titleValue = new StringBuilder();
for (int j = 0; j < titleFrag.length; j++) {
if ((frag[j] != null)) {
titleValue.append(titleFrag[j].toString());
}
}
map.put("title", titleValue.toString());
map.put("summary", baikeValue.toString());
map.put("score", String.valueOf(score));
list.add(map);
}
} catch (IOException e) {
e.printStackTrace();
} finally {
service.shutdownNow();
}
return list;
}
/**
* 搜索
*
* @param value
* @return
* @throws Exception
*/
public List<Map<String, String>> searchArticle(String value) throws Exception {
List<Map<String, String>> list = new ArrayList<>();
ExecutorService service = Executors.newCachedThreadPool();
// 定义分词器
Analyzer analyzer = new IKAnalyzer();
try {
IndexSearcher searcher =
SearchUtil.getIndexSearcherByParentPath(
System.getProperty("user.dir") + "/articlesIndex", service);
String[] fields = {"title", "summary"};
// 构造Query对象
MultiFieldQueryParser parser = new MultiFieldQueryParser(fields, analyzer);
BufferedReader in =
new BufferedReader(new InputStreamReader(System.in, StandardCharsets.UTF_8));
String line = value != null ? value : in.readLine();
Query query = parser.parse(line);
// 最终被分词后添加的前缀和后缀处理器默认是粗体<B></B>
SimpleHTMLFormatter htmlFormatter =
new SimpleHTMLFormatter("<font color=" + "\"" + "red" + "\"" + ">", "</font>");
// 高亮搜索的词添加到高亮处理器中
Highlighter highlighter = new Highlighter(htmlFormatter, new QueryScorer(query));
// 获取搜索的结果指定返回document返回的个数
// 默认搜索结果为显示第一页1000 可以优化
TopDocs results = SearchUtil.getScoreDocsByPerPage(1, 100, searcher, query);
ScoreDoc[] hits = results.scoreDocs;
// 遍历输出
for (ScoreDoc hit : hits) {
int id = hit.doc;
float score = hit.score;
Document hitDoc = searcher.doc(hit.doc);
Map<String, String> map = new HashMap<>();
map.put("id", hitDoc.get("id"));
// 获取到summary
String name = hitDoc.get("summary");
// 将查询的词和搜索词匹配匹配到添加前缀和后缀
TokenStream tokenStream =
TokenSources.getAnyTokenStream(searcher.getIndexReader(), id, "summary", analyzer);
// 传入的第二个参数是查询的值
TextFragment[] frag = highlighter.getBestTextFragments(tokenStream, name, false, 10);
StringBuilder baikeValue = new StringBuilder();
for (TextFragment textFragment : frag) {
if ((textFragment != null) && (textFragment.getScore() > 0)) {
// if ((frag[j] != null)) {
// 获取 summary 的值
baikeValue.append(textFragment.toString());
}
}
// 获取到title
String title = hitDoc.get("title");
TokenStream titleTokenStream =
TokenSources.getAnyTokenStream(searcher.getIndexReader(), id, "title", analyzer);
TextFragment[] titleFrag =
highlighter.getBestTextFragments(titleTokenStream, title, false, 10);
StringBuilder titleValue = new StringBuilder();
for (int j = 0; j < titleFrag.length; j++) {
if ((frag[j] != null)) {
titleValue.append(titleFrag[j].toString());
}
}
map.put("title", titleValue.toString());
map.put("summary", baikeValue.toString());
map.put("score", String.valueOf(score));
list.add(map);
}
} catch (IOException e) {
e.printStackTrace();
} finally {
service.shutdownNow();
}
return list;
}
}

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package com.rymcu.forest.lucene.service.impl;
import com.rymcu.forest.dto.ArticleDTO;
import com.rymcu.forest.lucene.lucene.ArticleBeanIndex;
import com.rymcu.forest.lucene.lucene.IKAnalyzer;
import com.rymcu.forest.lucene.mapper.ArticleLuceneMapper;
import com.rymcu.forest.lucene.model.ArticleLucene;
import com.rymcu.forest.lucene.service.LuceneService;
import com.rymcu.forest.lucene.util.SearchUtil;
import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.TokenStream;
import org.apache.lucene.document.Document;
import org.apache.lucene.queryparser.classic.MultiFieldQueryParser;
import org.apache.lucene.queryparser.classic.ParseException;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.Query;
import org.apache.lucene.search.ScoreDoc;
import org.apache.lucene.search.TopDocs;
import org.apache.lucene.search.highlight.*;
import org.springframework.stereotype.Service;
import javax.annotation.Resource;
import java.io.BufferedReader;
import java.io.IOException;
import java.io.InputStreamReader;
import java.nio.charset.StandardCharsets;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
/**
* LuceneServiceImpl
*
* @author suwen
* @date 2021/2/3 10:29
*/
@Service
public class LuceneServiceImpl implements LuceneService {
@Resource private ArticleLuceneMapper luceneMapper;
/** Lucene索引文件路径 */
private final String indexPath = System.getProperty("user.dir") + "/index";
/**
* 将文章的数据解析为一个个关键字词存储到索引文件中
*
* @param list
*/
@Override
public void writeArticle(List<ArticleLucene> list) {
try {
int totalCount = list.size();
int perThreadCount = 3000;
int threadCount = totalCount / perThreadCount + (totalCount % perThreadCount == 0 ? 0 : 1);
ExecutorService pool = Executors.newFixedThreadPool(threadCount);
CountDownLatch countDownLatch1 = new CountDownLatch(1);
CountDownLatch countDownLatch2 = new CountDownLatch(threadCount);
for (int i = 0; i < threadCount; i++) {
int start = i * perThreadCount;
int end = Math.min((i + 1) * perThreadCount, totalCount);
List<ArticleLucene> subList = list.subList(start, end);
Runnable runnable =
new ArticleBeanIndex("index", i, countDownLatch1, countDownLatch2, subList);
// 子线程交给线程池管理
pool.execute(runnable);
}
countDownLatch1.countDown();
System.out.println("开始创建索引");
// 等待所有线程都完成
countDownLatch2.await();
// 线程全部完成工作
System.out.println("所有线程都创建索引完毕");
// 释放线程池资源
pool.shutdown();
} catch (Exception e) {
e.printStackTrace();
}
}
/**
* 关键词搜索
*
* @param value
* @return
* @throws Exception
*/
@Override
public List<ArticleLucene> searchArticle(String value) {
List<ArticleLucene> resList = new ArrayList<>();
ExecutorService service = Executors.newCachedThreadPool();
// 定义分词器
Analyzer analyzer = new IKAnalyzer();
try {
IndexSearcher searcher = SearchUtil.getIndexSearcherByParentPath(indexPath, service);
String[] fields = {"title", "summary"};
// 构造Query对象
MultiFieldQueryParser parser = new MultiFieldQueryParser(fields, analyzer);
BufferedReader in =
new BufferedReader(new InputStreamReader(System.in, StandardCharsets.UTF_8));
String line = value != null ? value : in.readLine();
Query query = parser.parse(line);
// 最终被分词后添加的前缀和后缀处理器默认是粗体<B></B>
SimpleHTMLFormatter htmlFormatter =
new SimpleHTMLFormatter("<font color=" + "\"" + "red" + "\"" + ">", "</font>");
// 高亮搜索的词添加到高亮处理器中
Highlighter highlighter = new Highlighter(htmlFormatter, new QueryScorer(query));
// 获取搜索的结果指定返回document返回的个数
// 默认搜索结果为显示第一页1000 可以优化
TopDocs results = SearchUtil.getScoreDocsByPerPage(1, 100, searcher, query);
ScoreDoc[] hits = results.scoreDocs;
// 遍历输出
for (ScoreDoc hit : hits) {
int id = hit.doc;
float score = hit.score;
Document hitDoc = searcher.doc(hit.doc);
Map<String, String> map = new HashMap<>();
map.put("id", hitDoc.get("id"));
// 获取到summary
String name = hitDoc.get("summary");
// 将查询的词和搜索词匹配匹配到添加前缀和后缀
TokenStream tokenStream =
TokenSources.getAnyTokenStream(searcher.getIndexReader(), id, "summary", analyzer);
// 传入的第二个参数是查询的值
TextFragment[] frag = highlighter.getBestTextFragments(tokenStream, name, false, 10);
StringBuilder baikeValue = new StringBuilder();
for (TextFragment textFragment : frag) {
if ((textFragment != null) && (textFragment.getScore() > 0)) {
// if ((frag[j] != null)) {
// 获取 summary 的值
baikeValue.append(textFragment.toString());
}
}
// 获取到title
String title = hitDoc.get("title");
TokenStream titleTokenStream =
TokenSources.getAnyTokenStream(searcher.getIndexReader(), id, "title", analyzer);
TextFragment[] titleFrag =
highlighter.getBestTextFragments(titleTokenStream, title, false, 10);
StringBuilder titleValue = new StringBuilder();
for (int j = 0; j < titleFrag.length; j++) {
if ((frag[j] != null)) {
titleValue.append(titleFrag[j].toString());
}
}
resList.add(
ArticleLucene.builder()
.idArticle(hitDoc.get("id"))
.articleTitle(titleValue.toString())
.articleContent(baikeValue.toString())
.score(String.valueOf(score))
.build());
}
} catch (IOException | ParseException | InvalidTokenOffsetsException e) {
System.out.println(e.getMessage());
e.printStackTrace();
} finally {
service.shutdownNow();
}
return resList;
}
@Override
public List<ArticleLucene> getAllArticleLucene() {
return luceneMapper.getAllArticleLucene();
}
@Override
public List<ArticleDTO> getArticlesByIds(String[] ids) {
return luceneMapper.getArticlesByIds(ids);
}
}

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@ -1,21 +0,0 @@
<?xml version="1.0" encoding="UTF-8" ?>
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd" >
<mapper namespace="com.rymcu.forest.lucene.mapper.BaikeMapper" >
<resultMap id="BaseResultMap" type="com.rymcu.forest.lucene.model.Baike" >
<id column="id" property="id" jdbcType="INTEGER" />
<result column="title" property="title" jdbcType="VARCHAR" />
</resultMap>
<resultMap id="ResultMapWithBLOBs" type="com.rymcu.forest.lucene.model.Baike" extends="BaseResultMap" >
<result column="summary" property="summary" jdbcType="LONGVARCHAR" />
</resultMap>
<sql id="Base_Column_List" >
id, title
</sql>
<sql id="Blob_Column_List" >
summary
</sql>
<select id="getAllBaike" resultType="com.rymcu.forest.lucene.model.Baike">
select * from lucene_baike limit #{limit} offset #{offset};
</select>
</mapper>

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<?xml version="1.0" encoding="UTF-8" ?>
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd" >
<mapper namespace="com.rymcu.forest.lucene.mapper.ArticleLuceneMapper">
<resultMap id="BaseResultMap" type="com.rymcu.forest.lucene.model.ArticleLucene">
<id column="id" property="idArticle" jdbcType="INTEGER"/>
<result column="article_title" property="articleTitle" jdbcType="VARCHAR"/>
</resultMap>
<resultMap id="ResultMapWithBLOBs" type="com.rymcu.forest.lucene.model.ArticleLucene" extends="BaseResultMap">
<result column="article_content" property="articleContent" jdbcType="LONGVARCHAR"/>
</resultMap>
<resultMap id="DTOResultMap" type="com.rymcu.forest.dto.ArticleDTO">
<result column="id" property="idArticle"></result>
<result column="article_title" property="articleTitle"></result>
<result column="article_thumbnail_url" property="articleThumbnailUrl"></result>
<result column="article_author_id" property="articleAuthorId"></result>
<result column="nickname" property="articleAuthorName"></result>
<result column="avatar_url" property="articleAuthorAvatarUrl"></result>
<result column="article_type" property="articleType"></result>
<result column="article_tags" property="articleTags"></result>
<result column="article_view_count" property="articleViewCount"></result>
<result column="article_preview_content" property="articlePreviewContent"></result>
<result column="article_content" property="articleContent"></result>
<result column="comment_count" property="articleCommentCount"></result>
<result column="time_ago" property="timeAgo"></result>
<result column="article_permalink" property="articlePermalink"></result>
<result column="article_link" property="articleLink"></result>
<result column="article_status" property="articleStatus"></result>
<result column="updated_time" property="updatedTime"></result>
<result column="sort_no" property="sortNo"></result>
<result column="article_perfect" property="articlePerfect"></result>
<result column="article_thumbs_up_count" property="articleThumbsUpCount"></result>
<result column="article_sponsor_count" property="articleSponsorCount"></result>
</resultMap>
<sql id="Base_Column_List">
id
, article_title
</sql>
<sql id="Blob_Column_List">
article_content
</sql>
<select id="getAllArticleLucene" resultMap="ResultMapWithBLOBs">
select art.id, art.article_title, content.article_content
from forest_article art
left join forest_article_content content on art.id = content.id_article;
</select>
<select id="getArticlesByIds" resultMap="DTOResultMap">
select art.*, su.nickname, su.avatar_url
from forest_article art
join forest_user su on art.article_author_id = su.id
where article_status = 0
and art.id in
<foreach collection="ids" item="id" index="index"
open="(" close=")" separator=",">
#{id}
</foreach>
order by
field(art.id
<foreach collection="ids" item="id" index="index"
open="," close=")" separator=",">
#{id}
</foreach>
</select>
</mapper>