• ElasticSearch系列四 CURD


    1: ES 类似JPA操作

    1.1 编写实体类

    1.2 编写映射文件 xxx.json

    1.3编写repository继承 ElasticSearchrepository

    1.4 编写admin 的CRUD

    2: 使用ElasticSearchtemplate 对索引操作

    2.1 对索引的各类操作

    3: 高级查询

    配置application

    ##es 单个ES地址 #spring.data.elasticsearch.cluster-nodes= ## 设置ES多个地址 
    spring.data.elasticsearch.client.reactive.endpoints=[http://localhost:9200] ## 
    开启repositories spring.data.elasticsearch.repositories.enabled=true 
    #spring.data.elasticsearch.client.reactive.connection-timeout= 
    #spring.data.elasticsearch.client.reactive.password= 
    #spring.data.elasticsearch.client.reactive.socket-timeout= 
    #spring.data.elasticsearch.client.reactive.username= ##es  单个ES地址
    #spring.data.elasticsearch.cluster-nodes=
    ##  设置ES多个地址
    spring.data.elasticsearch.client.reactive.endpoints=[http://localhost:9200]
    ## 开启repositories
    spring.data.elasticsearch.repositories.enabled=true
    #spring.data.elasticsearch.client.reactive.connection-timeout=
    #spring.data.elasticsearch.client.reactive.password=
    #spring.data.elasticsearch.client.reactive.socket-timeout=
    #spring.data.elasticsearch.client.reactive.username=

    pom依赖

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

    1: ES 类似JPA操作

    1.1 编写实体类

    // indexName: 索引名称  type: 执行数据库类型的表
    @Document(indexName = "esadmin",type = "admin")
    @Mapping(mappingPath = "admin_es.json") //指向映射文件
    public class Admin {
    
        @Id
        private Long id;
        private String username;
        private String password;
        private String loveThings;
        // getter setter 方法

    1.2 编写映射文件 xxx.json

    {
      "properties": {
        "id": {
          "type": "long"
        },
        "username": {
          "type": "string",
          "index":    "not_analyzed"
        },
        "password": {
          "type": "string",
          "index":    "not_analyzed"
        },
        "loveThings": {
          "type": "text",
          "analyzer": "ik_max_word",
          "search_analyzer": "ik_max_word"
        }
      }
    }

    1.3编写repository继承 ElasticSearchrepository

    @Repository public interface AdminRepository extends 
    ElasticsearchRepository&lt;Admin,Long&gt; { }

    1.4 编写admin 的CRUD

    @RestController
    public class AdminController {
    
        @Autowired
        private AdminRepository adminRepository;
    
        // http://localhost:8080/saveOrUpdate
    
        /**
         *  send data
         * {
         *     "username":"dgw3",
         *     "password":"root",
         *     "loveThings":"postman(二):使用postman发送get or post请"
         * }
         */
        @PostMapping("saveOrUpdate")
        public String saveOrUpdate(@RequestBody Admin admin){
            if(admin.getId()==null){
                admin.setId(System.currentTimeMillis());
            }
            adminRepository.save(admin);
            return "保存成功";
        }
        //http://localhost:8080/delete?id=1582946734759
        @GetMapping("delete")
        public String delete(Long id){
            try {
                adminRepository.deleteById(id);
            } catch (Exception e) {
                e.printStackTrace();
                return "删除失败";
            }
            return "删除成功";
        }
        //http://localhost:8080/findById?id=1582946734759
        @GetMapping("findById")
        public Admin findById(long id){
            Optional<Admin> admin = adminRepository.findById(id);
            if(admin.isPresent()){
                return admin.get();
            }else{
                return null;
            }
        }
        //http://localhost:8080/findAll
        @GetMapping("findAll")
        public Iterable<Admin> findAll(){
                return adminRepository.findAll();
        }
    }

    2: 使用ElasticSearchtemplate 对索引操作

    2.1 对索引的各类操作

    @RestController
    public class ElasticOperationControler {
    
        @Autowired
        private ElasticsearchTemplate elasticsearchTemplate;
    
        @GetMapping("createIndex")
        public boolean createIndex(String indexName){
            return elasticsearchTemplate.createIndex(indexName);
        }
    
        @GetMapping("deleteIndex")
        public boolean deleteIndex(String indexName){
            return elasticsearchTemplate.deleteIndex(indexName);
        }
    
        @GetMapping("indexIsExist")
        public boolean indexIsExist(String indexName){
            return elasticsearchTemplate.indexExists(indexName);
        }
    
        @GetMapping("typeIsExist")
        public boolean typeIsExist(String indexName,String type){
            return elasticsearchTemplate.typeExists(indexName,type);
        }
    
        @GetMapping("getMapping")
        public Map getMapping(String indexName, String type){
            return elasticsearchTemplate.getMapping(indexName,type);
        }
    
        @GetMapping("getSetting")
        public Map getSetting(String indexName){
            return elasticsearchTemplate.getSetting(indexName);
        }
    }

    3: 高级查询

    查询步骤:

    • QueryBuilders 构建查询关键词
    • SortBuilders 构建对关键字的排序
    • NativeSearchQueryBuilder 对前两个条件进行封装,
    • Repository : 进行查询
    @RestController
    public class SearchController {
    
        @Autowired
        private ElasticsearchTemplate elasticsearchTemplate;
    
        @Autowired
        private ArticleRepository articleRepository;
    
        //1.不分词查询:查询articleContent带有你好 或者 articleName带有你好的文章列表,并且按照readCount倒叙排序
        //http://localhost:8080/query1?keyword=你好
        @GetMapping("query1")
        public List<Article> query1(String keyword) {
            BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
    
            BoolQueryBuilder articleContent = boolQuery.should(QueryBuilders.termQuery("articleContent", keyword));
            BoolQueryBuilder articleName = boolQuery.should(QueryBuilders.termQuery("articleName", keyword));
    
            FieldSortBuilder order = SortBuilders.fieldSort("readCount").order(SortOrder.DESC);
    
            NativeSearchQueryBuilder nativeSearchQueryBuilder = new NativeSearchQueryBuilder();
    
            nativeSearchQueryBuilder.withQuery(articleContent);
            nativeSearchQueryBuilder.withQuery(articleName);
            nativeSearchQueryBuilder.withSort(order);
    
            NativeSearchQuery searchQuery = nativeSearchQueryBuilder.build();
    
            Page<Article> articles = articleRepository.search(searchQuery);
            if (articles != null) {
                return articles.getContent();
            } else {
                return null;
            }
        }
        //2.不分词查询:查询articleContent带有我们 或者 你好 并且authorAge在20岁以下的文章列表,并且按照readCount倒叙排序
        //http://localhost:8080/query11?keyword=你好,我们
        @GetMapping("query2")
        public List<Article> query2(String... keyword) {
            BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
            boolQueryBuilder.must(QueryBuilders.termsQuery("articleContent", keyword));
            boolQueryBuilder.must(QueryBuilders.rangeQuery("authorAge").lt(20));
            FieldSortBuilder fieldSortBuilder = SortBuilders.fieldSort("readCount").order(SortOrder.DESC);
            NativeSearchQueryBuilder nativeSearchQueryBuilder = new NativeSearchQueryBuilder();
            nativeSearchQueryBuilder.withQuery(boolQueryBuilder);
            nativeSearchQueryBuilder.withSort(fieldSortBuilder);
            NativeSearchQuery nativeSearchQuery = nativeSearchQueryBuilder.build();
            Page<Article> page = articleRepository.search(nativeSearchQuery);
            if (page != null) {
                return page.getContent();
            } else {
                return null;
            }
        }
    
        //3.分词查询:经过分词,查询articleContent带有你好节日一词分词后的文章列表,并且按照authorAge倒叙排序
        //http://localhost:8080/query12?keyword=你好节日
        @GetMapping("query3")
        public List<Article> query3(String keyword) {
            BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
            boolQueryBuilder.should(QueryBuilders.matchQuery("articleContent", keyword));
            FieldSortBuilder fieldSortBuilder = SortBuilders.fieldSort("authorAge").order(SortOrder.DESC);
            NativeSearchQueryBuilder nativeSearchQueryBuilder = new NativeSearchQueryBuilder();
            nativeSearchQueryBuilder.withQuery(boolQueryBuilder);
            nativeSearchQueryBuilder.withSort(fieldSortBuilder);
            NativeSearchQuery nativeSearchQuery = nativeSearchQueryBuilder.build();
            Page<Article> page = articleRepository.search(nativeSearchQuery);
            if (page != null) {
                return page.getContent();
            } else {
                return null;
            }
        }
    
        //4.分页分词查询:经过分词,查询articleContent带有你好节日一词分词后的文章列表,并且按照authorAge倒叙排序
        //http://localhost:8080/query13?keyword=你好节日&pageNum=1&pageSize=5
        @GetMapping("query4")
        public Page<Article> query4(String keyword, Integer pageNum, Integer pageSize) {
            BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
            boolQueryBuilder.should(QueryBuilders.matchQuery("articleContent", keyword));
            FieldSortBuilder fieldSortBuilder = SortBuilders.fieldSort("authorAge").order(SortOrder.DESC);
            PageRequest pageRequest = new PageRequest(pageNum, pageSize);
            NativeSearchQueryBuilder nativeSearchQueryBuilder = new NativeSearchQueryBuilder();
            nativeSearchQueryBuilder.withQuery(boolQueryBuilder);
            nativeSearchQueryBuilder.withSort(fieldSortBuilder);
            nativeSearchQueryBuilder.withPageable(pageRequest);
            NativeSearchQuery nativeSearchQuery = nativeSearchQueryBuilder.build();
            Page<Article> page = articleRepository.search(nativeSearchQuery);
            if (page != null) {
                return page;
            } else {
                return null;
            }
        }
    
        //5.分页分词查询:经过分词,查询articleContent带有你好节日一词分词后的文章列表,并且按照authorAge倒叙排序,并且对匹配到的词语设置为高亮
        //http://localhost:8080/query14?keyword=你好节日&pageNum=1&pageSize=5&fieldNames=articleContent,articleName
        @GetMapping("query5")
        public Map<String, Object> query5(String keyword, Integer pageNum, Integer pageSize, String... fieldNames) {
    
            //定义返回的map
            Map<String, Object> returnMap = new HashMap<String,Object>();
    
            // 不使用默认的分词器  直接操控索引
            //构建请求构建器,设置查询索引
            SearchRequestBuilder builder = elasticsearchTemplate.getClient().prepareSearch("testes");
    
            //构建查询构建器,设置分词器(如果没设置使用默认)
            QueryBuilder matchQuery = QueryBuilders.multiMatchQuery(keyword, fieldNames).analyzer("ik_max_word");
    
            //构建高亮构建器
            HighlightBuilder highlightBuilder = new HighlightBuilder().field("*").requireFieldMatch(false);
            highlightBuilder.preTags("<span style="color:red">");
            highlightBuilder.postTags("</span>");
    
            //将高亮构建器,查询构建器,分页参数设置到请求构建器内
            builder.highlighter(highlightBuilder);
            builder.setQuery(matchQuery);
            builder.setFrom((pageNum - 1) * pageSize);
            builder.setSize(pageNum * pageSize);
            builder.setSize(pageSize);
    
            //执行搜索,返回搜索响应信息
            SearchResponse searchResponse = builder.get();
            SearchHits searchHits = searchResponse.getHits();
    
            //总命中数
            long total = searchHits.getTotalHits();
            returnMap.put("count", total);
    
            //将高亮字段封装到返回map
            SearchHit[] hits = searchHits.getHits();
            List<Map<String,Object>> list = new ArrayList<>();
            Map<String,Object> map;
            for(SearchHit searchHit : hits){
                map = new HashMap<>();
                map.put("data",searchHit.getSourceAsMap());
                Map<String,Object> hitMap = new HashMap<>();
                searchHit.getHighlightFields().forEach((k,v) -> {
                    String hight = "";
                    for(Text text : v.getFragments()){
                        hight += text.string();
                    }
                    hitMap.put(v.getName(),hight);
                });
                map.put("highlight",hitMap);
                list.add(map);
            }
            returnMap.put("dataList", list);
            return returnMap;
        }
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  • 原文地址:https://www.cnblogs.com/dgwblog/p/12382173.html
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