SpringBoot 整合Jest實例代碼講解

2019-11-26 09:42:56

字體：大中小

來源：轉載

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【1】添加Elasticsearch-starter

pom文件添加starter如下：

<dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-data-elasticsearch</artifactId></dependency>

SpringBoot默認支持兩種技術和Elasticsearch進行交互：Spring Data Elasticsearch和Jest。

Jest默認不生效，需要導入io.searchbox.client.JestClient。

這里寫圖片描述

maven依賴如下：

<!--導入jest依賴--><dependency> <groupId>io.searchbox</groupId> <artifactId>jest</artifactId> <version>5.3.3</version></dependency>

Spring Data Elasticsearch主要作用如下：

① ElasticsearchAutoConfiguration中注冊了client，屬性有clusterNodes和clusterName。

這里寫圖片描述

② ElasticsearchDataAutoConfiguration注冊了ElasticsearchTemplate來操作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 啟用了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接口源碼如下(類似于JPA中的接口)：

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

【2】JestClient操作測試

application.properties配置如下：

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

測試類如下：

@RunWith(SpringRunner.class)@SpringBootTestpublic 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");  //構建一個索引功能，類型為news  Index index = new Index.Builder(article).index("jest").type("news").build();  try {   jestClient.execute(index);   System.out.println("數據索引成功！");  } catch (IOException e) {   e.printStackTrace();  } } @Test public void search(){  //查詢表達式  String json = "{/n" +    " /"query/" : {/n" +    "  /"match/" : {/n" +    "   /"content/" : /"hello/"/n" +    "  }/n" +    " }/n" +    "}";  //構建搜索功能  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();  } }}

測試存儲數據結果如下：

這里寫圖片描述

測試查詢數據結果如下：

這里寫圖片描述

【3】 Elasticsearch版本調整

application.properties進行配置：

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

這里節點名取自如下圖：

這里寫圖片描述

啟動主程序，可能報錯如下(ES版本不合適)：

這里寫圖片描述

查看Spring Data官網，其中spring data elasticsearch與elasticsearch適配表如下：

這里寫圖片描述

官網地址：https://github.com/spring-projects/spring-data-elasticsearch

我們在上篇博文中安裝的ES版本為5.6.10，項目中SpringBoot版本為1.5.12，spring-boot-starter-data-elasticsearch為2.1.11，elasticsearch版本為2.4.6。

兩種解決辦法：① 升級SpringBoot版本；② 安裝2.4.6版本的elasticsearch。

這里修改暴露的端口，重新使用docker安裝2.4.6版本：

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

這里寫圖片描述

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=elasticsearchspring.data.elasticsearch.cluster-nodes=192.168.2.110:9301

此時再次啟動程序：

這里寫圖片描述

【4】ElasticsearchRepository使用

類似于JPA，編寫自定義Repository接口，繼承自ElasticsearchRepository：

public interface BookRepository extends ElasticsearchRepository<Book,Integer> { public List<Book> findByBookNameLike(String bookName);}

這里第一個參數為對象類型，第二個參數為對象的主鍵類型。

BookRepository 所擁有的方法如下圖：

這里寫圖片描述

Book源碼如下：

// 這里注意注解@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 + '/'' +    '}'; }}

測試類如下：

@Autowired BookRepository bookRepository; @Test public void testRepository(){  Book book = new Book();  book.setAuthor("吳承恩");  book.setBookName("西游記");  book.setId(1);  bookRepository.index(book);  System.out.println("BookRepository 存入數據成功！"); }

測試結果如下圖：

這里寫圖片描述

測試獲取示例如下：

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

測試結果如下圖：

這里寫圖片描述

Elasticsearch支持方法關鍵字如下圖所示

這里寫圖片描述

即，在BookRepository中使用上述關鍵字構造方法，即可使用，Elastic自行實現其功能！

支持@Query注解

如下所示，直接在方法上使用注解：

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

【5】ElasticsearchTemplate使用

存入數據源碼示例如下：

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

測試結果如下：

這里寫圖片描述

查詢數據示例如下：

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

測試結果如下：

這里寫圖片描述

開源項目： https://github.com/spring-projects/spring-data-elasticsearch

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

1.說明

本文主要講解如何使用Spring Boot快速搭建Web框架，結合Spring Data 和 Jest 快速實現對阿里云ElasticSearch的全文檢索功能。

主要使用組件：

Spring Boot Starter：可以幫助我們快速的搭建spring mvc 環境
Jest：一種rest訪問es的客戶端
elasticsearch：全文檢索
spring data elasticsearch：結合spring data
thymeleaf：web前端模版框架
jquery：js框架
bootstrap：前端樣式框架

2.項目Maven配置

以下為項目Maven配置，尤其需要注意各個組件的版本，以及注釋部分。

各個組件的某些版本組合下回出現各種異常，以下maven為測試可通過的一個版本。

<?xml version="1.0" encoding="UTF-8"?><project xmlns="http://maven.apache.org/POM/4.0.0"   xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"   xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd"> <modelVersion>4.0.0</modelVersion> <groupId>org.lewis</groupId> <artifactId>esweb</artifactId> <version>0.1</version> <parent>  <groupId>org.springframework.boot</groupId>  <artifactId>spring-boot-starter-parent</artifactId>  <!--必須用2.0+，否則會有一個類  Caused by: java.lang.NoSuchMethodError: org.elasticsearch.common.settings.Settings.settingsBuilder()Lorg/elasticsearch/common/settings/Settings$Builder;  -->  <version>2.0.0.M7</version> </parent> <properties>  <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>  <project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>  <java.version>1.8</java.version> </properties> <dependencies>  <dependency>   <groupId>org.springframework.boot</groupId>   <artifactId>spring-boot-starter-web</artifactId>  </dependency>  <!--  <dependency>   <groupId>org.springframework.boot</groupId>   <artifactId>spring-boot-starter-data-jpa</artifactId>  </dependency>  -->  <!--不可使用version 5.3.3，會有一個類的方法找不到-->  <dependency>   <groupId>io.searchbox</groupId>   <artifactId>jest</artifactId>   <version>5.3.2</version>  </dependency>  <!--必須用5.0+，否則會有一個類找不到org/elasticsearch/node/NodeValidationException-->  <dependency>   <groupId>org.elasticsearch</groupId>   <artifactId>elasticsearch</artifactId>   <version>5.3.3</version>  </dependency>  <dependency>   <groupId>org.springframework.data</groupId>   <artifactId>spring-data-elasticsearch</artifactId>   <version>3.0.0.RELEASE</version>  </dependency>  <dependency>   <groupId>com.github.vanroy</groupId>   <artifactId>spring-boot-starter-data-jest</artifactId>   <version>3.0.0.RELEASE</version>  </dependency>  <dependency>   <groupId>org.springframework.boot</groupId>   <artifactId>spring-boot-devtools</artifactId>   <optional>true</optional>  </dependency>  <dependency>   <groupId>org.springframework.boot</groupId>   <artifactId>spring-boot-starter-thymeleaf</artifactId>  </dependency>  <!--  不需要引用  <dependency>   <groupId>org.springframework.boot</groupId>   <artifactId>spring-boot-starter-data-elasticsearch</artifactId>  </dependency>  -->  <!--spring boot elasticsearch 缺少的jar，需要單獨引入-->  <dependency>   <groupId>net.java.dev.jna</groupId>   <artifactId>jna</artifactId>   <version>4.5.1</version>  </dependency>  <!--webjars 前端框架，整體管理前端js框架-->  <dependency>   <groupId>org.webjars</groupId>   <artifactId>jquery</artifactId>   <version>3.3.0</version>  </dependency>  <dependency>   <groupId>org.webjars</groupId>   <artifactId>bootstrap</artifactId>   <version>4.0.0</version>  </dependency>  <!--When using Spring Boot version 1.3 or higher, it will automatically detect the webjars-locator library on the classpath and use it to automatically resolve the version of any WebJar assets for you. In order to enable this feature, you will need to add the webjars-locator library as a dependency of your application in the pom.xml file-->  <dependency>   <groupId>org.webjars</groupId>   <artifactId>webjars-locator</artifactId>   <version>0.30</version>  </dependency> </dependencies> <build>  <plugins>   <plugin>    <groupId>org.springframework.boot</groupId>    <artifactId>spring-boot-maven-plugin</artifactId>    <configuration>     <fork>true</fork>    </configuration>   </plugin>  </plugins> </build></project>

創建完成后，項目目錄結構如下:

3.Spring Starter配置需使用SpringBootApplication啟動需禁用ElasticsearchAutoConfiguration，ElasticsearchDataAutoConfiguration，否則會有異常HighLightJestSearchResultMapper Bean留待下面解釋，主要為了解決spring data不支持elasticsearch檢索highlight問題，此處為該Bean的注冊

@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：

通過對Class進行Document注解，實現與ElasticSearch中的Index和Type一一對應。

該類在最終與ES返回結果映射時，僅映射其中_source部分。即如下圖部分(highlight另說，后面單獨處理了)：

@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<String, List<String>> highlight) {  //省略 } public Song() { } //getter setter 省略...}

b) 為了解決Spring data elasticsearch問題，此處增加一個抽象類：HighLightEntity，其他Entity需要繼承該類

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<String, List<String>> highlight; public Map<String, List<String>> getHighlight() {  return highlight; } public void setHighlight(Map<String, List<String>> 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<Song,Long> {}

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<Song> searchSong(Integer pNum, Integer pSize, String keywords);}

b) 實現類

該類實現了具體如何分頁，如何查詢等

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;@Servicepublic class SongServiceImpl implements SongService{ private static final Logger LOGGER = Logger.getLogger(SongServiceImpl.class); /* 分頁參數 */ private final static Integer PAGE_SIZE = 12;   // 每頁數量 private final static Integer DEFAULT_PAGE_NUMBER = 0; // 默認當前頁碼 /* 搜索模式 */ private final static String SCORE_MODE_SUM = "sum"; // 權重分求和模式 private final static Float MIN_SCORE = 10.0F;  // 由于無相關性的分值默認為 1 ，設置權重分最小值為 10 @Autowired SongRepository songRepository; @Autowired JestElasticsearchTemplate jestElasticsearchTemplate; @Autowired HighLightJestSearchResultMapper jestSearchResultMapper; @Override public Page<Song> searchSong(Integer pNum, Integer pSize, String keywords) {  // 校驗分頁參數  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 ");  // 構建搜索查詢  SearchQuery searchQuery = getCitySearchQuery(pNum,pSize,keywords);  LOGGER.info("/n searchCity: searchContent [" + keywords + "] /n DSL = /n " + searchQuery.getQuery().toString());//  Page<Song> cityPage = songRepository.search(searchQuery);  Page<Song> cityPage = jestElasticsearchTemplate.queryForPage(searchQuery,Song.class,jestSearchResultMapper);  return cityPage; } /**  * 根據搜索詞構造搜索查詢語句  *  * 代碼流程：  *  - 權重分查詢  *  - 短語匹配  *  - 設置權重分最小值  *  - 設置分頁參數  *  * @param pNum 當前頁碼  * @param pSize 每頁大小  * @param searchContent 搜索內容  * @return  */ private SearchQuery getCitySearchQuery(Integer pNum, Integer pSize,String searchContent) {  /* elasticsearch 2.4.6 版本寫法  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);  // 分頁參數//  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[]{"<font color='red'>", "<b>", "<em>"})    .postTags(new String[]{"</font>", "</b>", "</em>"})    .fragmentSize(15)    .numOfFragments(5)    //highlightQuery必須單獨設置，否則在使用FunctionScoreQuery時，highlight配置不生效，返回結果無highlight元素    //官方解釋：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) 解決Spring Data ElasticSearch不支持Highlight的問題

通過自定義實現一個如下的JestSearchResultMapper，解決無法Highlight的問題

package org.leiws.esweb.repository;//import 省略public class HighLightJestSearchResultMapper extends DefaultJestResultsMapper { private EntityMapper entityMapper; private MappingContext<? extends ElasticsearchPersistentEntity<?>, ElasticsearchPersistentProperty> mappingContext; public HighLightJestSearchResultMapper() {  this.entityMapper = new DefaultEntityMapper();  this.mappingContext = new SimpleElasticsearchMappingContext(); } public HighLightJestSearchResultMapper(MappingContext<? extends ElasticsearchPersistentEntity<?>, 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 <T> AggregatedPage<T> mapResults(SearchResult response, Class<T> clazz) {  return mapResults(response, clazz, null); } @Override public <T> AggregatedPage<T> mapResults(SearchResult response, Class<T> clazz, List<AbstractAggregationBuilder> aggregations) {  LinkedList<T> results = new LinkedList<>();  for (SearchResult.Hit<JsonObject, Void> 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> T mapSource(JsonObject source, Class<T> 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> T mapEntity(String source, Class<T> 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 <T> void setPersistentEntityId(Object entity, String id, Class<T> 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);   }  } }}

上面類的大部分代碼來源于：DefaultJestResultsMapper

重點修改部分為：

@Override public <T> AggregatedPage<T> mapResults(SearchResult response, Class<T> clazz, List<AbstractAggregationBuilder> aggregations) {  LinkedList<T> results = new LinkedList<>();  for (SearchResult.Hit<JsonObject, Void> 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

相對簡單，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.前端頁面thymeleaf模版

存放目錄為：resources/templates/songList.html

<!DOCTYPE html><html xmlns:th="http://www.thymeleaf.org" lang="en"><head> <meta charset="UTF-8"/> <title>Title</title> <link rel='stylesheet' href='/webjars/bootstrap/css/bootstrap.min.css'> <script src="/webjars/jquery/jquery.min.js"></script> <script src="/webjars/bootstrap/js/bootstrap.min.js"></script></head><body><form action="/search" class="px-5 py-3" > <div class="input-group">  <input name="keywords" type="text" class="form-control" placeholder="歌詞搜索，請輸入歌詞內容" aria-label="歌詞搜索，請輸入歌詞內容" aria-describedby="basic-addon2">  <div class="input-group-append">   <button class="btn btn-outline-secondary" type="button">搜索</button>  </div>  <input type="hidden" name="pNum" value="0"/> </div></form><div class="alert alert-light" role="alert"> 為您找到0個結果：</div><ul class="list-group"> <li th:each="song : ${pageSong.content}" class="list-group-item">  <div class="row">   <a th:href="${song.href}">   <h4 scope="row" th:text="${song.name}" ></h4>   </a>              <h6 scope="row" th:text="${song.singer}" class="align-bottom" ></h6>  </div>  <!--   <td><a th:href="@{/users/update/{userId}(userId=${user.id})}" th:text="${user.name}"></a></td>  -->  <div class="row">   <span th:each="highlight : ${song.highlight}">    <span th:each="word : ${highlight.value}">     <span th:utext="${word}"></span>...    </span>   </span>  </div> </li></ul><nav aria-label="..." class=""> <ul class="pagination pagination-sm justify-content-center py-5">  <li class="page-item ">   <a class="page-link" href="#">    <span aria-hidden="true">«</span>    <span class="sr-only">Previous</span>   </a>  </li>  <li class="page-item"><a class="page-link" href="#">1</a></li>  <li class="page-item"><a class="page-link" href="#">2</a></li>  <li class="page-item"><a class="page-link" href="#">3</a></li>  <li class="page-item">   <a class="page-link" href="#">   <span aria-hidden="true">»</span>   <span class="sr-only">Next</span>   </a>  </li> </ul></nav></body></html>

8.阿里云ElasticSearch連接配置

在resources/application.properties中配置如下：

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

9.其他

a) thymeleaf 熱啟動配置，便于測試在resources/application.properties中配置如下：

spring.thymeleaf.cache=false

在pom.xml中增加：

 <dependency>   <groupId>org.springframework.boot</groupId>   <artifactId>spring-boot-devtools</artifactId>   <optional>true</optional>  </dependency><build>  <plugins>   <plugin>    <groupId>org.springframework.boot</groupId>    <artifactId>spring-boot-maven-plugin</artifactId>    <configuration>     <fork>true</fork>    </configuration>   </plugin>  </plugins> </build>

3.每次還是需要重新compile后，修改的thymeleaf模版代碼才會自動生效，因為spring boot啟動是以target目錄為準的

b) 阿里云elasticsearch在esc上配置ngnix代理，以支持本機可以公網訪問，便于開發購買一臺esc在ecs上安裝ngnix，并配置代理信息server 部分如下：

server {  listen  8080;  #listen  [::]:80 default_server;  server_name {本機內網ip} {本機外網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 內網 ip}:9200;  } }

10. 最后，查詢效果：