SpringBoot 整合Jest实例代码讲解

【1】添加Elasticsearch-starter

pom文件添加starter如下：

 org.springframework.boot
 spring-boot-starter-data-elasticsearch

SpringBoot默认支持两种技术和Elasticsearch进行交互：Spring Data Elasticsearch和Jest。

Jest默认不生效，需要导入io.searchbox.client.JestClient。

maven依赖如下：

 io.searchbox
 jest
 5.3.3

---

Spring Data Elasticsearch主要作用如下：

① ElasticsearchAutoConfiguration中注册了client，属性有clusterNodes和clusterName。

② ElasticsearchDataAutoConfiguration注册了ElasticsearchTemplate来操作ES 

@Configuration
@ConditionalOnClass({ Client.class, ElasticsearchTemplate.class })
@AutoConfigureAfter(ElasticsearchAutoConfiguration.class)
public class ElasticsearchDataAutoConfiguration {
 @Bean
 @ConditionalOnMissingBean
 @ConditionalOnBean(Client.class)
 public ElasticsearchTemplate elasticsearchTemplate(Client client,
  ElasticsearchConverter converter) {
 try {
  return new ElasticsearchTemplate(client, converter);
 }
 catch (Exception ex) {
  throw new IllegalStateException(ex);
 }
 }
 @Bean
 @ConditionalOnMissingBean
 public ElasticsearchConverter elasticsearchConverter(
  SimpleElasticsearchMappingContext mappingContext) {
 return new MappingElasticsearchConverter(mappingContext);
 }
 @Bean
 @ConditionalOnMissingBean
 public SimpleElasticsearchMappingContext mappingContext() {
 return new SimpleElasticsearchMappingContext();
 }
}

③ ElasticsearchRepositoriesAutoConfiguration 启用了ElasticsearchRepository

@Configuration
@ConditionalOnClass({ Client.class, ElasticsearchRepository.class })
@ConditionalOnProperty(prefix = "spring.data.elasticsearch.repositories", name = "enabled", havingValue = "true", matchIfMissing = true)
@ConditionalOnMissingBean(ElasticsearchRepositoryFactoryBean.class)
@Import(ElasticsearchRepositoriesRegistrar.class)
public class ElasticsearchRepositoriesAutoConfiguration {
}

ElasticsearchRepository接口源码如下(类似于JPA中的接口)：

@NoRepositoryBean
public interface ElasticsearchRepository extends ElasticsearchCrudRepository {
  S index(S var1);
 Iterable search(QueryBuilder var1);
 Page search(QueryBuilder var1, Pageable var2);
 Page search(SearchQuery var1);
 Page searchSimilar(T var1, String[] var2, Pageable var3);
 void refresh();
 Class getEntityClass();
}

【2】JestClient操作测试

application.properties配置如下：

# jest url配置
spring.elasticsearch.jest.uris=http://192.168.2.110:9200

测试类如下：

@RunWith(SpringRunner.class)
@SpringBootTest
public class SpringBootJestTest {
 @Autowired
 JestClient jestClient;
 @Test
 public void index(){
  Article article = new Article();
  article.setId(1);
  article.setAuthor("Tom");
  article.setContent("hello world !");
  article.setTitle("今日消息");
  //构建一个索引功能，类型为news
  Index index = new Index.Builder(article).index("jest").type("news").build();
  try {
   jestClient.execute(index);
   System.out.println("数据索引成功！");
  } catch (IOException e) {
   e.printStackTrace();
  }
 }
 @Test
 public void search(){
  //查询表达式
  String json = "{\n" +
    " \"query\" : {\n" +
    "  \"match\" : {\n" +
    "   \"content\" : \"hello\"\n" +
    "  }\n" +
    " }\n" +
    "}";
  //构建搜索功能
  Search search = new Search.Builder(json).addIndex("jest").addType("news").build();
  try {
   SearchResult result = jestClient.execute(search);
   System.out.println(result.getJsonString());
  } catch (IOException e) {
   e.printStackTrace();
  }
 }
}

测试存储数据结果如下：

测试查询数据结果如下：

【3】 Elasticsearch版本调整

application.properties进行配置：

# Spring data elasticsearch配置
spring.data.elasticsearch.cluster-name=elasticsearch
spring.data.elasticsearch.cluster-nodes=192.168.2.110:9300

这里节点名取自如下图：

 

启动主程序，可能报错如下(ES版本不合适)：

查看Spring Data官网，其中spring data elasticsearch与elasticsearch适配表如下：

官网地址：https://github.com/spring-projects/spring-data-elasticsearch

我们在上篇博文中安装的ES版本为5.6.10，项目中SpringBoot版本为1.5.12，spring-boot-starter-data-elasticsearch为2.1.11，elasticsearch版本为2.4.6。

两种解决办法：① 升级SpringBoot版本；② 安装2.4.6版本的elasticsearch。

这里修改暴露的端口，重新使用docker安装2.4.6版本：

# 拉取2.4.6 镜像
docker pull registry.docker-cn.com/library/elasticsearch:2.4.6
# 启动容器
docker run -e ES_JAVA_OPTS="-Xms256m -Xmx256m" -d -p 9201:9200 -p 9301:9300 --name ES02 bc337c8e4f

application.properties配置文件同步修改：

# jest url配置
spring.elasticsearch.jest.uris=http://192.168.2.110:9201
# Spring data elasticsearch配置
spring.data.elasticsearch.cluster-name=elasticsearch
spring.data.elasticsearch.cluster-nodes=192.168.2.110:9301

此时再次启动程序：

【4】ElasticsearchRepository使用

类似于JPA，编写自定义Repository接口，继承自ElasticsearchRepository：

public interface BookRepository extends ElasticsearchRepository {
 public List findByBookNameLike(String bookName);
}

这里第一个参数为对象类型，第二个参数为对象的主键类型。

BookRepository 所拥有的方法如下图：

Book源码如下：

// 这里注意注解
@Document(indexName = "elastic",type = "book")
public class Book {
 private Integer id;
 private String bookName;
 private String author;
 public Integer getId() {
  return id;
 }
 public void setId(Integer id) {
  this.id = id;
 }
 public String getBookName() {
  return bookName;
 }
 public void setBookName(String bookName) {
  this.bookName = bookName;
 }
 public String getAuthor() {
  return author;
 }
 public void setAuthor(String author) {
  this.author = author;
 }
 @Override
 public String toString() {
  return "Book{" +
    "id=" + id +
    ", bookName='" + bookName + '\'' +
    ", author='" + author + '\'' +
    '}';
 }
}

测试类如下：

@Autowired
 BookRepository bookRepository;
 @Test
 public void testRepository(){
  Book book = new Book();
  book.setAuthor("吴承恩");
  book.setBookName("西游记");
  book.setId(1);
  bookRepository.index(book);
  System.out.println("BookRepository 存入数据成功！");
 }

测试结果如下图：

测试获取示例如下：

 @Test
 public void testRepository2(){
  for (Book book : bookRepository.findByBookNameLike("游")) {
   System.out.println("获取的book ： "+book);
  } ;
  Book book = bookRepository.findOne(1);
  System.out.println("根据id查询 ： "+book);
 }

测试结果如下图：

Elasticsearch支持方法关键字如下图所示

即，在BookRepository中使用上述关键字构造方法，即可使用，Elastic自行实现其功能！

支持@Query注解

如下所示，直接在方法上使用注解：

public interface BookRepository extends ElasticsearchRepository {
 @Query("{"bool" : {"must" : {"field" : {"name" : "?0"}}}}")
 Page findByName(String name,Pageable pageable);

}

【5】ElasticsearchTemplate使用

存入数据源码示例如下：

@Autowired
 ElasticsearchTemplate elasticsearchTemplate;
 @Test
 public void testTemplate01(){
  Book book = new Book();
  book.setAuthor("曹雪芹");
  book.setBookName("红楼梦");
  book.setId(2);
  IndexQuery indexQuery = new IndexQueryBuilder().withId(String.valueOf(book.getId())).withObject(book).build();
  elasticsearchTemplate.index(indexQuery);
 }

测试结果如下：

查询数据示例如下：

@Test
 public void testTemplate02(){
  QueryStringQueryBuilder stringQueryBuilder = new QueryStringQueryBuilder("楼");
  stringQueryBuilder.field("bookName");
  SearchQuery searchQuery = new NativeSearchQueryBuilder().withQuery(stringQueryBuilder).build();
  Page books = elasticsearchTemplate.queryForPage(searchQuery,Book.class);
  Iterator iterator = books.iterator();
  while(iterator.hasNext()){
   Book book = iterator.next();
   System.out.println("该次获取的book:"+book);
  }
 }

测试结果如下：

 开源项目： https://github.com/spring-projects/spring-data-elasticsearch

 https://github.com/searchbox-io/Jest/tree/master/jest 

1.说明

本文主要讲解如何使用Spring Boot快速搭建Web框架，结合Spring Data 和 Jest 快速实现对阿里云ElasticSearch的全文检索功能。

主要使用组件：

Spring Boot Starter：可以帮助我们快速的搭建spring mvc 环境
Jest：一种rest访问es的客户端
elasticsearch：全文检索
spring data elasticsearch：结合spring data
thymeleaf：web前端模版框架
jquery：js框架
bootstrap：前端样式框架

2.项目Maven配置

以下为项目Maven配置，尤其需要注意各个组件的版本，以及注释部分。

各个组件的某些版本组合下回出现各种异常，以下maven为测试可通过的一个版本。

 4.0.0
 org.lewis
 esweb
 0.1
 
  org.springframework.boot
  spring-boot-starter-parent
  
  2.0.0.M7
 
 
  UTF-8
  UTF-8
  1.8
 
 
  
   org.springframework.boot
   spring-boot-starter-web
  
  
  
  
   io.searchbox
   jest
   5.3.2
  
  
  
   org.elasticsearch
   elasticsearch
   5.3.3
  
  
   org.springframework.data
   spring-data-elasticsearch
   3.0.0.RELEASE
  
  
   com.github.vanroy
   spring-boot-starter-data-jest
   3.0.0.RELEASE
  
  
   org.springframework.boot
   spring-boot-devtools
   true
  
  
   org.springframework.boot
   spring-boot-starter-thymeleaf
  
  
  
  
   net.java.dev.jna
   jna
   4.5.1
  
  
  
   org.webjars
   jquery
   3.3.0
  
  
   org.webjars
   bootstrap
   4.0.0
  
  
  
   org.webjars
   webjars-locator
   0.30
  
 
 
  
   
    org.springframework.boot
    spring-boot-maven-plugin
    
     true
    
   
  
 

创建完成后，项目目录结构如下:

3.Spring Starter配置需使用SpringBootApplication启动需禁用ElasticsearchAutoConfiguration，ElasticsearchDataAutoConfiguration，否则会有异常HighLightJestSearchResultMapper Bean留待下面解释，主要为了解决spring data不支持elasticsearch检索highlight问题，此处为该Bean的注册

@SpringBootApplication
@EnableAutoConfiguration(exclude = {ElasticsearchAutoConfiguration.class, ElasticsearchDataAutoConfiguration.class})
public class App {
 public static void main(String[] args) throws Exception {
  SpringApplication.run(App.class, args);
 }
 @Bean
 public HighLightJestSearchResultMapper highLightJestSearchResultMapper(){
  return new HighLightJestSearchResultMapper();
 }
}

3.Entity配置

a) 歌曲Entity如下：

通过对Class进行Document注解，实现与ElasticSearch中的Index和Type一一对应。

该类在最终与ES返回结果映射时，仅映射其中_source部分。即如下图部分(highlight另说，后面单独处理了)：

@Document(indexName = "songs",type = "sample",shards = 1, replicas = 0, refreshInterval = "-1")
public class Song extends HighLightEntity{
 @Id
 private Long id;
 private String name;
 private String href;
 private String lyric;
 private String singer;
 private String album;
 public Song(Long id, String name, String href, String lyric, String singer, String album, Map> highlight) {
  //省略
 }
 public Song() {
 }
 //getter setter 省略...
}

b) 为了解决Spring data elasticsearch问题，此处增加一个抽象类：HighLightEntity，其他Entity需要继承该类

package org.leiws.esweb.entity;
import java.io.Serializable;
import java.util.List;
import java.util.Map;
public abstract class HighLightEntity implements Serializable{
 private Map> highlight;
 public Map> getHighlight() {
  return highlight;
 }
 public void setHighlight(Map> highlight) {
  this.highlight = highlight;
 }
}

4.Repository配置

package org.leiws.esweb.repository;
import org.leiws.esweb.entity.Song;
import org.springframework.data.elasticsearch.repository.ElasticsearchRepository;
public interface SongRepository extends ElasticsearchRepository {
}

5.Service配置

a) 接口

package org.leiws.esweb.service;
import org.leiws.esweb.entity.Song;
import org.springframework.data.domain.Page;
import java.util.List;
/**
 * The interface Song service.
 */
public interface SongService {
 /**
  * Search song list.
  *
  * @param pNum  the p num
  * @param pSize the p size
  * @param keywords the keywords
  * @return the list
  */
 public Page searchSong(Integer pNum, Integer pSize, String keywords);
}

b) 实现类

该类实现了具体如何分页，如何查询等

package org.leiws.esweb.service.impl;
import com.github.vanroy.springdata.jest.JestElasticsearchTemplate;
import org.apache.log4j.Logger;
import org.elasticsearch.common.lucene.search.function.FiltersFunctionScoreQuery;
import org.elasticsearch.index.query.MatchPhraseQueryBuilder;
import org.elasticsearch.index.query.MatchQueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.index.query.functionscore.FunctionScoreQueryBuilder;
import org.elasticsearch.index.query.functionscore.ScoreFunctionBuilders;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.leiws.esweb.entity.Song;
import org.leiws.esweb.repository.HighLightJestSearchResultMapper;
import org.leiws.esweb.repository.SongRepository;
import org.leiws.esweb.service.SongService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.Page;
import org.springframework.data.domain.PageRequest;
import org.springframework.data.domain.Pageable;
import org.springframework.data.elasticsearch.core.query.NativeSearchQueryBuilder;
import org.springframework.data.elasticsearch.core.query.SearchQuery;
import org.springframework.stereotype.Service;
import static org.elasticsearch.index.query.QueryBuilders.functionScoreQuery;
import static org.elasticsearch.index.query.QueryBuilders.matchPhraseQuery;
import java.util.List;
@Service
public class SongServiceImpl implements SongService{
 private static final Logger LOGGER = Logger.getLogger(SongServiceImpl.class);
 /* 分页参数 */
 private final static Integer PAGE_SIZE = 12;   // 每页数量
 private final static Integer DEFAULT_PAGE_NUMBER = 0; // 默认当前页码
 /* 搜索模式 */
 private final static String SCORE_MODE_SUM = "sum"; // 权重分求和模式
 private final static Float MIN_SCORE = 10.0F;  // 由于无相关性的分值默认为 1 ，设置权重分最小值为 10
 @Autowired
 SongRepository songRepository;
 @Autowired
 JestElasticsearchTemplate jestElasticsearchTemplate;
 @Autowired
 HighLightJestSearchResultMapper jestSearchResultMapper;
 @Override
 public Page searchSong(Integer pNum, Integer pSize, String keywords) {
  // 校验分页参数
  if (pSize == null || pSize <= 0) {
   pSize = PAGE_SIZE;
  }
  if (pNum == null || pNum < DEFAULT_PAGE_NUMBER) {
   pNum = DEFAULT_PAGE_NUMBER;
  }
  LOGGER.info("\n searchCity: searchContent [" + keywords + "] \n ");
  // 构建搜索查询
  SearchQuery searchQuery = getCitySearchQuery(pNum,pSize,keywords);
  LOGGER.info("\n searchCity: searchContent [" + keywords + "] \n DSL = \n " + searchQuery.getQuery().toString());
//  Page cityPage = songRepository.search(searchQuery);
  Page cityPage = jestElasticsearchTemplate.queryForPage(searchQuery,Song.class,jestSearchResultMapper);
  return cityPage;
 }
 /**
  * 根据搜索词构造搜索查询语句
  *
  * 代码流程：
  *  - 权重分查询
  *  - 短语匹配
  *  - 设置权重分最小值
  *  - 设置分页参数
  *
  * @param pNum 当前页码
  * @param pSize 每页大小
  * @param searchContent 搜索内容
  * @return
  */
 private SearchQuery getCitySearchQuery(Integer pNum, Integer pSize,String searchContent) {
  /* elasticsearch 2.4.6 版本写法
  FunctionScoreQueryBuilder functionScoreQueryBuilder = QueryBuilders.functionScoreQuery()
    .add(QueryBuilders.boolQuery().should(QueryBuilders.matchQuery("lyric", searchContent)),
      ScoreFunctionBuilders.weightFactorFunction(1000))
    .scoreMode(SCORE_MODE_SUM).setMinScore(MIN_SCORE);
  */
  FunctionScoreQueryBuilder.FilterFunctionBuilder[] functions = {
    new FunctionScoreQueryBuilder.FilterFunctionBuilder(
      matchPhraseQuery("lyric", searchContent),
      ScoreFunctionBuilders.weightFactorFunction(1000))
  };
  FunctionScoreQueryBuilder functionScoreQueryBuilder =
    functionScoreQuery(functions).scoreMode(FiltersFunctionScoreQuery.ScoreMode.SUM).setMinScore(MIN_SCORE);
  // 分页参数
//  Pageable pageable = new PageRequest(pNum, pSize);
  Pageable pageable = PageRequest.of(pNum, pSize);
  //高亮提示
  HighlightBuilder.Field highlightField = new HighlightBuilder.Field("lyric")
    .preTags(new String[]{"", "", ""})
    .postTags(new String[]{"", "", ""})
    .fragmentSize(15)
    .numOfFragments(5)
    //highlightQuery必须单独设置，否则在使用FunctionScoreQuery时，highlight配置不生效，返回结果无highlight元素
    //官方解释：Highlight matches for a query other than the search query. This is especially useful if you use a rescore query because those are not taken into account by highlighting by default.
    .highlightQuery(matchPhraseQuery("lyric", searchContent));
  return new NativeSearchQueryBuilder()
    .withPageable(pageable)
 //   .withSourceFilter(new FetchSourceFilter(new String[]{"name","singer","lyric"},new String[]{}))
    .withHighlightFields(highlightField)
    .withQuery(functionScoreQueryBuilder).build();
 }
}

c) 解决Spring Data ElasticSearch不支持Highlight的问题

通过自定义实现一个如下的JestSearchResultMapper，解决无法Highlight的问题

package org.leiws.esweb.repository;
//import 省略
public class HighLightJestSearchResultMapper extends DefaultJestResultsMapper {
 private EntityMapper entityMapper;
 private MappingContext, ElasticsearchPersistentProperty> mappingContext;
 public HighLightJestSearchResultMapper() {
  this.entityMapper = new DefaultEntityMapper();
  this.mappingContext = new SimpleElasticsearchMappingContext();
 }
 public HighLightJestSearchResultMapper(MappingContext, ElasticsearchPersistentProperty> mappingContext, EntityMapper entityMapper) {
  this.entityMapper = entityMapper;
  this.mappingContext = mappingContext;
 }
 public EntityMapper getEntityMapper() {
  return entityMapper;
 }
 public void setEntityMapper(EntityMapper entityMapper) {
  this.entityMapper = entityMapper;
 }
 @Override
 public  AggregatedPage mapResults(SearchResult response, Class clazz) {
  return mapResults(response, clazz, null);
 }
 @Override
 public  AggregatedPage mapResults(SearchResult response, Class clazz, List aggregations) {
  LinkedList results = new LinkedList<>();
  for (SearchResult.Hit hit : response.getHits(JsonObject.class)) {
   if (hit != null) {
    T result = mapSource(hit.source, clazz);
    HighLightEntity highLightEntity = (HighLightEntity) result;
    highLightEntity.setHighlight(hit.highlight);
    results.add((T) highLightEntity);
   }
  }
  String scrollId = null;
  if (response instanceof ExtendedSearchResult) {
   scrollId = ((ExtendedSearchResult) response).getScrollId();
  }
  return new AggregatedPageImpl<>(results, response.getTotal(), response.getAggregations(), scrollId);
 }
 private  T mapSource(JsonObject source, Class clazz) {
  String sourceString = source.toString();
  T result = null;
  if (!StringUtils.isEmpty(sourceString)) {
   result = mapEntity(sourceString, clazz);
   setPersistentEntityId(result, source.get(JestResult.ES_METADATA_ID).getAsString(), clazz);
  } else {
   //TODO(Fields results) : Map Fields results
   //result = mapEntity(hit.getFields().values(), clazz);
  }
  return result;
 }
 private  T mapEntity(String source, Class clazz) {
  if (isBlank(source)) {
   return null;
  }
  try {
   return entityMapper.mapToObject(source, clazz);
  } catch (IOException e) {
   throw new ElasticsearchException("failed to map source [ " + source + "] to class " + clazz.getSimpleName(), e);
  }
 }
 private  void setPersistentEntityId(Object entity, String id, Class clazz) {
  ElasticsearchPersistentEntity persistentEntity = mappingContext.getRequiredPersistentEntity(clazz);
  ElasticsearchPersistentProperty idProperty = persistentEntity.getIdProperty();
  // Only deal with text because ES generated Ids are strings !
  if (idProperty != null) {
   if (idProperty.getType().isAssignableFrom(String.class)) {
    persistentEntity.getPropertyAccessor(entity).setProperty(idProperty, id);
   }
  }
 }
}

上面类的大部分代码来源于：DefaultJestResultsMapper

重点修改部分为：

@Override
 public  AggregatedPage mapResults(SearchResult response, Class clazz, List aggregations) {
  LinkedList results = new LinkedList<>();
  for (SearchResult.Hit hit : response.getHits(JsonObject.class)) {
   if (hit != null) {
    T result = mapSource(hit.source, clazz);
    HighLightEntity highLightEntity = (HighLightEntity) result;
    highLightEntity.setHighlight(hit.highlight);
    results.add((T) highLightEntity);
   }
  }
  String scrollId = null;
  if (response instanceof ExtendedSearchResult) {
   scrollId = ((ExtendedSearchResult) response).getScrollId();
  }
  return new AggregatedPageImpl<>(results, response.getTotal(), response.getAggregations(), scrollId);
 }

6.Controller

相对简单，如普通的Spring Controller

@Controller
@RequestMapping(value = "/search")
public class SearchController {
 @Autowired
 SongService songService;
 /**
  * Song list string.
  *
  * @param map the map
  * @return the string
  */
 @RequestMapping(method = RequestMethod.GET)
 public String songList(@RequestParam(value = "pNum") Integer pNum,
       @RequestParam(value = "pSize", required = false) Integer pSize,
       @RequestParam(value = "keywords") String keywords,ModelMap map){
  map.addAttribute("pageSong",songService.searchSong(pNum,pSize,keywords));
  return "songList";
 }
}

7.前端页面thymeleaf模版

存放目录为：resources/templates/songList.html

 
 
 
 
 



 

  
  

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8.阿里云ElasticSearch连接配置

在resources/application.properties中配置如下：

spring.data.jest.uri=http://1xx.xxx.xxx.xxx:8080
spring.data.jest.username=username
spring.data.jest.password=password
spring.data.jest.maxTotalConnection=50
spring.data.jest.defaultMaxTotalConnectionPerRoute=50
spring.data.jest.readTimeout=5000

9.其他

a) thymeleaf 热启动配置，便于测试在resources/application.properties中配置如下：

spring.thymeleaf.cache=false

在pom.xml中增加：

 
   org.springframework.boot
   spring-boot-devtools
   true
  

  
   
    org.springframework.boot
    spring-boot-maven-plugin
    
     true
    
   
  
 

3.每次还是需要重新compile后，修改的thymeleaf模版代码才会自动生效，因为spring boot启动是以target目录为准的

b) 阿里云elasticsearch在esc上配置ngnix代理，以支持本机可以公网访问，便于开发购买一台esc在ecs上安装ngnix，并配置代理信息server 部分如下：

server {
  listen  8080;
  #listen  [::]:80 default_server;
  server_name {本机内网ip} {本机外网ip};
  #root   /usr/share/nginx/html;
  # Load configuration files for the default server block.
  #include /etc/nginx/default.d/*.conf;
  location / {
      proxy_pass http://{elasticsearch 内网 ip}:9200;
  }
 }

10. 最后，查询效果：

总结

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