SpringBoot集成Elasticsearch8.x（7）|（新版本Java API Client使用完整示例）

旧城等待， 2023-10-12 08:48 47阅读 0赞

## SpringBoot集成Elasticsearch8.x（7）|（新版本Java API Client使用完整示例） ##

--------------------

### 文章目录  SpringBoot集成Elasticsearch8.x（7）|（新版本Java API Client使用完整示例）  @\[TOC\]  前言  一、项目依赖  二、springboot集成实现  1.ElasticSearchConfig配置实现  2.elasticsearch工具类  3.定义一个ES存储数据结构体  4.elasticsearch查询工具类  4.1.查询满足条件的数据  4.2.查询某些分组下满足条件的数据  4.3.查询某个文档的数据并高亮显示关键词  5.elasticsearch增删工具类  5.1.批量增加数据  5.2.批量删除数据  5.调用测试实现  总结 ###

章节  
第一章链接: [SpringBoot集成Elasticsearch7.x（1）|（增删改查功能实现）][SpringBoot_Elasticsearch7.x_1]  
第二章链接: [SpringBoot集成Elasticsearch7.x（2）|（复杂查询）][SpringBoot_Elasticsearch7.x_2]  
第三章链接: [SpringBoot集成Elasticsearch7.x（3）|（aggregations之指标聚合查询）][SpringBoot_Elasticsearch7.x_3_aggregations]  
第四章链接: [SpringBoot集成Elasticsearch7.x（4）|（aggregations之分桶聚合查询）][SpringBoot_Elasticsearch7.x_4_aggregations]  
第五章链接: [SpringBoot集成Elasticsearch7.x（5）|（term、match、match\_phrase区别）][SpringBoot_Elasticsearch7.x_5_term_match_match_phrase]  
第六章链接: [SpringBoot集成Elasticsearch8.x（6）|（新版本Java API Client使用）][SpringBoot_Elasticsearch8.x_6_Java API Client]  
第七章链接: [SpringBoot集成Elasticsearch8.x（7）|（新版本Java API Client使用完整示例）][SpringBoot_Elasticsearch8.x_7_Java API Client]

## 前言 ##

在Es7.15版本之后，es官方将它的高级客户端RestHighLevelClient标记为弃用状态。同时推出了全新的java API客户端Elasticsearch Java API Client，该客户端也将在Elasticsearch8.0及以后版本中成为官方推荐使用的客户端。

## 一、项目依赖 ##

> 这里没有应用springboot版本自带elasticsearch依赖，自带的版本应该是7.x的，所以单独引入了elasticsearch8.x依赖

<parent>
    	       <groupId>org.springframework.boot</groupId>
    	       <artifactId>spring-boot-starter-parent</artifactId>
    	       <version>2.5.7</version>
    	       <relativePath/>
    	   </parent>
    	   
           <dependency>
               <groupId>co.elastic.clients</groupId>
               <artifactId>elasticsearch-java</artifactId>
               <version>8.1.0</version>
           </dependency>
           <dependency>
               <groupId>org.glassfish</groupId>
               <artifactId>jakarta.json</artifactId>
               <version>2.0.1</version>
           </dependency>

## 二、springboot集成实现 ##

### 1.ElasticSearchConfig配置实现 ###

> 注入elasticsearch客户端

@Configuration
    public class ElasticSearchConfig {
        
    
        @Value("${es.host}")
        private String host;
    
        @Value("${es.port}")
        private int port;
    
        @Bean
        public ElasticsearchClient elasticsearchClient() {
        
            RestClient client = RestClient.builder(new HttpHost(host, port, "http")).build();
            ElasticsearchTransport transport = new RestClientTransport(client, new JacksonJsonpMapper());
            return new ElasticsearchClient(transport);
        }
    }

### 2.elasticsearch工具类 ###

> ElasticsearchHandle工具类主要是封装elasticsearch的索引，数据对应的一些增删改查方法

@Slf4j
    @Component
    public class ElasticsearchHandle {
        
    
        @Autowired
        private ElasticsearchClient client;
    
        /**
         * 判断索引是否存在
         *
         * @param indexName
         * @return
         * @throws IOException
         */
        public boolean hasIndex(String indexName) throws IOException {
        
            BooleanResponse exists = client.indices().exists(d -> d.index(indexName));
            return exists.value();
        }
    
        /**
         * 删除索引
         *
         * @param indexName
         * @throws IOException
         */
        public boolean deleteIndex(String indexName) throws IOException {
        
            DeleteIndexResponse response = client.indices().delete(d -> d.index(indexName));
            return true;
        }
    
        /**
         * 创建索引
         *
         * @param indexName
         * @return
         * @throws IOException
         */
        public boolean createIndex(String indexName) {
        
            try {
        
                CreateIndexResponse indexResponse = client.indices().create(c -> c.index(indexName));
            } catch (IOException e) {
        
                log.error("索引创建失败：{}", e.getMessage());
                throw new ExploException(HttpCode.INDEX_CREATE_ERROR, "创建索引失败");
            }
            return true;
        }
    
        /**
         * 创建索引，不允许外部直接调用
         *
         * @param indexName
         * @param mapping
         * @throws IOException
         */
        private boolean createIndex(String indexName, Map<String, Property> mapping) throws IOException {
        
            CreateIndexResponse createIndexResponse = client.indices().create(c -> {
        
                c.index(indexName).mappings(mappings -> mappings.properties(mapping));
                return c;
            });
            return createIndexResponse.acknowledged();
        }
    
    //    public Map<String, Property> buildMapping( Map<String, String> propertyKeys) {
        
    //        Map<String, Property> documentMap = new HashMap<>();
    //        for (Map.Entry<String, String> propertyKey : propertyKeys.entrySet()) {
        
    //            String type = getIndxPropType(propertyKey.getValue());
    //            String key = propertyKey.getKey();
    //            log.info("属性：{}类型：{}", key, type);
    //            if (type.equals("text")) {
        
    //                documentMap.put(key, Property.of(property ->
    //                                property.keyword(KeywordProperty.of(p ->
    //                                                p.index(true)
    //                                        )
    //                                )
    //                        )
    //                );
    //            } else if (type.equals("date")) {
        
    //                documentMap.put(key, Property.of(property ->
    //                                property.date(DateProperty.of(p ->
    //                                                p.index(true).format("yyyy-MM-dd HH:mm:ss.SSS")
    //                                        )
    //                                )
    //                        )
    //                );
    //            } else if (type.equals("long")) {
        
    //                documentMap.put(key, Property.of(property ->
    //                                property.long_(LongNumberProperty.of(p ->
    //                                                p.index(true)
    //                                        )
    //                                )
    //                        )
    //                );
    //            } else if (type.equals("integer")) {
        
    //                documentMap.put(key, Property.of(property ->
    //                                property.integer(
    //                                        IntegerNumberProperty.of(p ->
    //                                                p.index(false)
    //                                        )
    //                                )
    //                        )
    //                );
    //            } else {
        
    //                documentMap.put(key, Property.of(property ->
    //                                property.object(
    //                                        ObjectProperty.of(p ->
    //                                                p.enabled(true)
    //                                        )
    //                                )
    //                        )
    //                );
    //            }
    //        }
    //        return documentMap;
    //    }
    
        /**
         * 重新创建索引,如果已存在先删除
         *
         * @param indexName
         * @param mapping
         */
        public void reCreateIndex(String indexName, Map<String, Property> mapping) {
        
            try {
        
                if (this.hasIndex(indexName)) {
        
                    this.deleteIndex(indexName);
                }
            } catch (IOException e) {
        
                e.printStackTrace();
                throw new ExploException(HttpCode.INDEX_DELETE_ERROR, "删除索引失败");
            }
    
            try {
        
                this.createIndex(indexName, mapping);
            } catch (IOException e) {
        
                e.printStackTrace();
                throw new ExploException(HttpCode.INDEX_CREATE_ERROR, "重新创建索引失败");
            }
        }
    
    
        /**
         * 新增数据
         *
         * @param indexName
         * @throws IOException
         */
        public boolean insertDocument(String indexName, Object obj, String id) {
        
            try {
        
                IndexResponse indexResponse = client.index(i -> i
                        .index(indexName)
                        .id(id)
                        .document(obj));
                return true;
            } catch (IOException e) {
        
                log.error("数据插入ES异常：{}", e.getMessage());
                throw new ExploException(HttpCode.ES_INSERT_ERROR, "ES新增数据失败");
            }
        }
    
        /**
         * 查询数据
         *
         * @param indexName
         * @param id
         * @return
         */
        public GetResponse<DocumentPartESDto> searchDocument(String indexName, String id) {
        
    
            try {
        
                GetResponse<DocumentPartESDto> getResponse = client.get(g -> g
                                .index(indexName)
                                .id(id)
                        , DocumentPartESDto.class
                );
                return getResponse;
            } catch (IOException e) {
        
                log.error("查询ES异常：{}", e.getMessage());
                throw new ExploException(HttpCode.ES_SEARCH_ERROR, "查询ES数据失败");
            }
        }
    
        /**
         * 删除数据
         *
         * @param indexName
         * @param id
         * @return
         */
        public boolean deleteDocument(String indexName, String id) {
        
            try {
        
                DeleteResponse deleteResponse = client.delete(d -> d
                        .index(indexName)
                        .id(id)
                );
            } catch (IOException e) {
        
                log.error("删除Es数据异常：{}", e.getMessage());
                throw new ExploException(HttpCode.ES_DELETE_ERROR, "数据删除失败");
            }
            return true;
        }
    
    }

### 3.定义一个ES存储数据结构体 ###

> 定义一个实体，用于向ES中存储数据

@Data
    @Builder
    @NoArgsConstructor
    @AllArgsConstructor
    public class DocumentPartESDto {
        
    
        private String id;
    
        private String docId;
    
        private String kgId;
    
        private String content;
    
        private String type;
    }

### 4.elasticsearch查询工具类 ###

> 由于我们使用大多情况是查询的场景，这里我来完善查询的一些方法

#### 4.1.查询满足条件的数据 ####

> 参数介绍  
> ndexName：为索引名称  
> query：查询的内容  
> top ：查询条数

public List<DocumentParagraph> search(String indexName, String query,int top) {
        
            List<DocumentParagraph> documentParagraphs = Lists.newArrayList();
            try {
        
                SearchResponse<DocumentParagraph> search = client.search(s -> s
                                .index(indexName)
                                .query(q -> q
                                        .match(t -> t
                                                .field("content")
                                                .query(query)
                                        ))
                                .from(0)
                                .size(top)
    //                    .sort(f -> f.field(o -> o.field("docId").order(SortOrder.Desc)))
                        , DocumentParagraph.class
                );
                for (Hit<DocumentParagraph> hit : search.hits().hits()) {
        
                    DocumentParagraph pd = hit.source();
                    documentParagraphs.add(pd);
                }
            } catch (IOException e) {
        
                log.error("查询ES异常：{}", e.getMessage());
                throw new ExploException(HttpCode.ES_SEARCH_ERROR, "查询ES数据失败");
            }
            return documentParagraphs;
        }

#### 4.2.查询某些分组下满足条件的数据 ####

> 参数介绍  
> ndexName：为索引名称  
> query：查询的内容  
> categoryId： 查询那些类别下的数据  
> top ：查询条数

public List<DocumentParagraph> search(String indexName, String query, List<String> categoryId,int top) {
        
            List<DocumentParagraph> documentParagraphs = Lists.newArrayList();
            List<FieldValue> values = new ArrayList<>();
            for (String id : categoryId) {
        
                values.add(FieldValue.of(id));
            }
            Query categoryQuery = TermsQuery.of(t -> t.field("categoryId.keyword").terms(new TermsQueryField.Builder()
                    .value(values).build()
            ))._toQuery();
    
            try {
        
                SearchResponse<DocumentParagraph> search = client.search(s -> s
                                .index(indexName)
                                .query(q -> q
                                        .bool(b -> b
                                                .must(categoryQuery
                                                )
                                                .should(sh -> sh
                                                        .match(t -> t
                                                                .field("content")
                                                                .query(query)
                                                        )
                                                )
                                        )
                                )  
                                .highlight(h -> h
                                        .fields("content", f -> f
                                                .preTags("<em>")
                                                .postTags("</em>")
                                        )
                                )
                                .from(0)
                                .size(top)
                        , DocumentParagraph.class
                );
                for (Hit<DocumentParagraph> hit : search.hits().hits()) {
        
                    DocumentParagraph pd = hit.source();
                    documentParagraphs.add(pd);
                }
            } catch (IOException e) {
        
                log.error("查询ES异常：{}", e.getMessage());
                throw new ExploException(HttpCode.ES_SEARCH_ERROR, "查询ES数据失败");
            }
            return documentParagraphs;
        }
    
    /**
    * 高亮数据提取
    */
        private DocumentParagraph highLight(Hit<DocumentParagraph> hit) {
        
            DocumentParagraph paragraph = hit.source();
            try {
        
                Map<String, List<String>> highlight = hit.highlight();
                List<String> list = highlight.get("content");
                String join = StringUtils.join(list, "");
                if (StringUtils.isNotBlank(join)) {
        
                    paragraph.setContent(join);
                    paragraph.setScore(hit.score());
    
                }
            } catch (Exception e) {
        
                log.error("获取ES高亮数据异常：{}", e.getMessage());
            }
            return paragraph;
        }
    /**
    *解析高亮数据
    */
     Map<String, List<String>> highlight = hit.highlight();
                List<String> list = highlight.get("content");
                String join = StringUtils.join(list, "");
                if (StringUtils.isNotBlank(join)) {
        
                    paragraph.setContent(join);
                }

#### 4.3.查询某个文档的数据并高亮显示关键词 ####

> 参数介绍  
> ndexName：为索引名称  
> id：文档id

public List<DocumentParagraph> searchDocumentByDocId(String indexName, String id) {
        
            List<DocumentParagraph> documentParagraphs = Lists.newArrayList();
            try {
        
                SearchResponse<DocumentParagraph> search = client.search(s -> s
                        .index(indexName)
                        .query(q -> q
                                .term(t -> t
                                        .field("docId")
                                        .value(id)
                                )
                        ), DocumentParagraph.class
                );
                for (Hit<DocumentParagraph> hit : search.hits().hits()) {
        
                    DocumentParagraph pd = hit.source();
                    documentParagraphs.add(pd);
                }
            } catch (IOException e) {
        
                log.error("查询ES异常：{}", e.getMessage());
                throw new ExploException(HttpCode.ES_SEARCH_ERROR, "查询ES数据失败");
            }
            return documentParagraphs;
        }

### 5.elasticsearch增删工具类 ###

> 批量增删也是常见类型

#### 5.1.批量增加数据 ####

> 参数介绍  
> ndexName：为索引名称  
> objs：插入实体

public boolean batchInsertDocument(String indexName, List<DocumentParagraph> objs) {
        
            try {
        
                List<BulkOperation> bulkOperationArrayList = new ArrayList<>();
                for (DocumentParagraph obj : objs) {
        
                    bulkOperationArrayList.add(BulkOperation.of(o -> o.index(i -> i.document(obj))));
                }
    
                BulkResponse bulkResponse = client.bulk(b -> b.index(indexName).operations(bulkOperationArrayList));
                return true;
            } catch (IOException e) {
        
                log.error("数据插入ES异常：{}", e.getMessage());
                throw new ExploException(HttpCode.ES_INSERT_ERROR, "ES新增数据失败");
            }
        }

#### 5.2.批量删除数据 ####

> 删除文章下的所有数据  
> 参数介绍  
> ndexName：为索引名称  
> docId：文章id

public Boolean deleteDocument(String indexName, String docId) {
        
            try {
        
                client.deleteByQuery(d -> d
                        .index(indexName)
                        .query(q -> q
                                .term(t -> t
                                        .field("docId")
                                        .value(docId)
                                )
                        )
                );
            } catch (IOException e) {
        
                log.error("查询ES异常：{}", e.getMessage());
            }
            return true;
        }

### 5.调用测试实现 ###

> 实现索引的创建以及数据的存储查询示例

@Api(tags = {
        "ES操作"})
    @RestController
    @RequestMapping("/es")
    public class TestEsCurdCtrl {
        
    
        @Autowired
        public ElasticsearchHandle elasticsearchHandle;
    
    
        @ApiOperation(value = "添加es文件", notes = "添加es文件")
        @GetMapping(value = "/add")
        public ResponseHandle deleteDocument(@RequestParam(value = "id") String id) {
        
            DocumentPartESDto doc = DocumentPartESDto.builder()
                    .id(id)
                    .docId(id)
                    .content("这是文本内容" + id)
                    .type("doc")
                    .build();
            elasticsearchHandle.insertDocument("doc", doc, id);
            return ResponseHandle.SUCCESS("成功");
        }
    
        @ApiOperation(value = "查询es文件", notes = "查询es文件")
        @GetMapping(value = "/search")
        public ResponseHandle searchDocument(@RequestParam(value = "id") String id) {
        
            GetResponse<DocumentPartESDto> doc = elasticsearchHandle.searchDocument("doc", id);
            DocumentPartESDto docDto = doc.source();
            return ResponseHandle.SUCCESS(docDto);
        }
    
        @ApiOperation(value = "创建索引", notes = "创建索引")
        @GetMapping(value = "/index")
        public ResponseHandle createIndex(@RequestParam(value = "indexName") String indexName) {
        
            elasticsearchHandle.createIndex(indexName);
            return ResponseHandle.SUCCESS("成功");
        }
    
       /**
         * 创建mapping索引
         *
         * @param indexName
         */
             public static String esmappingV2 = "{\"properties\":{\"docId\":{\"type\":\"keyword\"},\"docName\":{\"type\":\"text\",\"analyzer\":\"ik_max_word\",\"search_analyzer\":\"ik_smart\",\"copy_to\":\"all\"},\"categoryId\":{\"type\":\"keyword\"},\"libVersionList\":{\"type\":\"keyword\"},\"content\":{\"type\":\"text\",\"analyzer\":\"ik_max_word\",\"search_analyzer\":\"ik_smart\",\"copy_to\":\"all\"},\"title\":{\"type\":\"text\",\"analyzer\":\"ik_max_word\",\"search_analyzer\":\"ik_smart\",\"copy_to\":\"all\"},\"all\":{\"type\":\"text\",\"analyzer\":\"ik_max_word\",\"search_analyzer\":\"ik_smart\"}}}";
    
        public void createIndexAndMapping(String indexName)  {
        
            try {
        
                JsonpMapper mapper = client._transport().jsonpMapper();
                JsonParser parser = mapper.jsonProvider().createParser(new StringReader(esmappingV2));
                client.indices().create(c -> c.
                        index(indexName)
                        .mappings(TypeMapping._DESERIALIZER.deserialize(parser, mapper))
                );
            } catch (Exception e) {
        
                if (StringUtils.contains(e.getMessage(), "resource_already_exists_exception")) {
        
                    log.warn("索引存在不创建");
                    return;
                }
                log.error("es新增mapping索引异常:{}", e.getMessage());
                throw new SkynetException(HttpCode.ES_INDEX_ERROR.code(), HttpCode.ES_INDEX_ERROR.message());
            }
        }
    }

## 总结 ##

以上就是SpringBoot集成Elasticsearch数据库内容，项目已经经过测试，主要类全部都在上面。大家可以参考

[SpringBoot_Elasticsearch7.x_1]: https://blog.csdn.net/Oaklkm/article/details/125890437
[SpringBoot_Elasticsearch7.x_2]: https://blog.csdn.net/Oaklkm/article/details/125896279
[SpringBoot_Elasticsearch7.x_3_aggregations]: https://blog.csdn.net/Oaklkm/article/details/125911606
[SpringBoot_Elasticsearch7.x_4_aggregations]: https://blog.csdn.net/Oaklkm/article/details/125914614
[SpringBoot_Elasticsearch7.x_5_term_match_match_phrase]: https://blog.csdn.net/Oaklkm/article/details/126708183
[SpringBoot_Elasticsearch8.x_6_Java API Client]: https://blog.csdn.net/Oaklkm/article/details/128956998
[SpringBoot_Elasticsearch8.x_7_Java API Client]: https://blog.csdn.net/Oaklkm/article/details/130992152