以下是 spring boot 集成 lucene 的详细步骤:
添加依赖
在 spring boot 项目的 pom.xml 文件中添加 lucene 的依赖,常用的核心依赖和中文分词器依赖如下:
<dependency>
<groupid>org.apache.lucene</groupid>
<artifactid>lucene-core</artifactid>
<version>8.11.0</version>
</dependency>
<dependency>
<groupid>org.apache.lucene</groupid>
<artifactid>lucene-analyzers-common</artifactid>
<version>8.11.0</version>
</dependency>
<dependency>
<groupid>org.wltea</groupid>
<artifactid>ik-analyzer</artifactid>
<version>20200623</version>
</dependency>
创建配置类
创建一个配置类,对 lucene 的相关组件进行配置,如索引目录、分词器等:
import org.apache.lucene.analysis.analyzer;
import org.apache.lucene.analysis.standard.standardanalyzer;
import org.apache.lucene.store.directory;
import org.apache.lucene.store.fsdirectory;
import org.springframework.context.annotation.bean;
import org.springframework.context.annotation.configuration;
import java.nio.file.paths;
@configuration
public class luceneconfig {
private final string indexpath = "indexdir"; // 索引存储路径
@bean
public directory directory() throws exception {
return fsdirectory.open(paths.get(indexpath));
}
@bean
public analyzer analyzer() {
return new standardanalyzer(); // 可替换为其他分词器,如 ikanalyzer
}
}创建实体类
根据实际需求创建一个实体类,用于表示要索引的文档对象,例如:
public class book {
private string id;
private string title;
private string author;
private string content;
// 省略getter、setter等方法
}
创建索引服务类
创建一个服务类,用于处理索引相关的操作,如创建索引、添加文档、删除文档等:
import org.apache.lucene.document.document;
import org.apache.lucene.document.field;
import org.apache.lucene.document.textfield;
import org.apache.lucene.index.*;
import org.apache.lucene.search.*;
import org.apache.lucene.store.directory;
import org.springframework.beans.factory.annotation.autowired;
import org.springframework.stereotype.service;
import java.io.ioexception;
import java.util.arraylist;
import java.util.list;
@service
public class luceneindexservice {
@autowired
private directory directory;
@autowired
private analyzer analyzer;
// 创建索引
public void createindex(list<book> booklist) throws ioexception {
indexwriterconfig config = new indexwriterconfig(analyzer);
indexwriter writer = new indexwriter(directory, config);
for (book book : booklist) {
document doc = new document();
doc.add(new textfield("id", book.getid(), field.store.yes));
doc.add(new textfield("title", book.gettitle(), field.store.yes));
doc.add(new textfield("author", book.getauthor(), field.store.yes));
doc.add(new textfield("content", book.getcontent(), field.store.yes));
writer.adddocument(doc);
}
writer.close();
}
// 添加文档到索引
public void adddocument(book book) throws ioexception {
indexwriterconfig config = new indexwriterconfig(analyzer);
indexwriter writer = new indexwriter(directory, config);
document doc = new document();
doc.add(new textfield("id", book.getid(), field.store.yes));
doc.add(new textfield("title", book.gettitle(), field.store.yes));
doc.add(new textfield("author", book.getauthor(), field.store.yes));
doc.add(new textfield("content", book.getcontent(), field.store.yes));
writer.adddocument(doc);
writer.close();
}
// 删除文档
public void deletedocument(string id) throws ioexception {
indexwriterconfig config = new indexwriterconfig(analyzer);
indexwriter writer = new indexwriter(directory, config);
writer.deletedocuments(new term("id", id));
writer.forcemergedeletes();
writer.close();
}
}创建搜索服务类
创建一个服务类,用于处理搜索相关的操作,如简单搜索、高亮搜索等:
import org.apache.lucene.analysis.analyzer;
import org.apache.lucene.document.document;
import org.apache.lucene.index.directoryreader;
import org.apache.lucene.queryparser.classic.queryparser;
import org.apache.lucene.search.*;
import org.apache.lucene.search.highlight.*;
import org.apache.lucene.store.directory;
import org.springframework.beans.factory.annotation.autowired;
import org.springframework.stereotype.service;
import java.io.ioexception;
import java.util.arraylist;
import java.util.list;
import java.util.map;
@service
public class lucenesearchservice {
@autowired
private directory directory;
@autowired
private analyzer analyzer;
// 简单搜索
public list<document> search(string querystr) throws exception {
directoryreader reader = directoryreader.open(directory);
indexsearcher searcher = new indexsearcher(reader);
queryparser parser = new queryparser("content", analyzer);
query query = parser.parse(querystr);
topdocs results = searcher.search(query, 10);
list<document> docs = new arraylist<>();
for (scoredoc scoredoc : results.scoredocs) {
docs.add(searcher.doc(scoredoc.doc));
}
reader.close();
return docs;
}
// 高亮搜索
public list<map<string, string>> searchwithhighlight(string querystr) throws exception {
directoryreader reader = directoryreader.open(directory);
indexsearcher searcher = new indexsearcher(reader);
queryparser parser = new queryparser("content", analyzer);
query query = parser.parse(querystr);
topdocs results = searcher.search(query, 10);
list<map<string, string>> docs = new arraylist<>();
simplehtmlformatter htmlformatter = new simplehtmlformatter("<span style='color:red'>", "</span>");
highlighter highlighter = new highlighter(htmlformatter, new queryscorer(query));
for (scoredoc scoredoc : results.scoredocs) {
document doc = searcher.doc(scoredoc.doc);
string content = doc.get("content");
tokenstream tokenstream = analyzer.tokenstream("content", new stringreader(content));
string highlightedtext = highlighter.getbestfragment(tokenstream, content);
map<string, string> docmap = new hashmap<>();
docmap.put("id", doc.get("id"));
docmap.put("title", doc.get("title"));
docmap.put("author", doc.get("author"));
docmap.put("content", highlightedtext != null ? highlightedtext : content);
docs.add(docmap);
}
reader.close();
return docs;
}
}创建控制器类
创建一个控制器类,用于处理 http 请求,并调用相应的服务类方法:
import org.springframework.beans.factory.annotation.autowired;
import org.springframework.web.bind.annotation.*;
import java.io.ioexception;
import java.util.list;
import java.util.map;
@restcontroller
@requestmapping("/search")
public class searchcontroller {
@autowired
private luceneindexservice luceneindexservice;
@autowired
private lucenesearchservice lucenesearchservice;
// 创建索引
@postmapping("/index")
public string createindex(@requestbody list<book> booklist) {
try {
luceneindexservice.createindex(booklist);
return "索引创建成功";
} catch (ioexception e) {
e.printstacktrace();
return "索引创建失败";
}
}
// 搜索结果
@getmapping
public list<document> search(@requestparam string query) {
try {
return lucenesearchservice.search(query);
} catch (exception e) {
e.printstacktrace();
return new arraylist<>();
}
}
// 高亮搜索
@getmapping("/highlight")
public list<map<string, string>> searchwithhighlight(@requestparam string query) {
try {
return lucenesearchservice.searchwithhighlight(query);
} catch (exception e) {
e.printstacktrace();
return new arraylist<>();
}
}
}使用示例
此外,还可以根据实际需求对上述代码进行扩展和优化,例如添加更复杂的查询条件、实现分页功能、优化索引的性能等。
创建索引 :启动 spring boot 应用后,发送一个 post 请求到http://localhost:8080/search/index,请求体中包含要索引的图书列表,如:
[
{
"id": "1",
"title": " lucene in action ",
"author": "robert muir",
"content": "lucene is a search library from apache"
},
{
"id": "2",
"title": " java编程思想 ",
"author": "bruce eckel",
"content": "java is a programming language"
}
]
简单搜索 :发送一个 get 请求到http://localhost:8080/search/?query=java,即可搜索出与“java”相关的文档。
高亮搜索 :发送一个 get 请求到http://localhost:8080/search/highlight/?query=java,即可搜索出与“java”相关的文档,并且搜索结果中的“java”会以高亮显示。
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