springboot整合elasticsearch

matchAllQuery查询

 @Test
    void testMatchAll() throws IOException {
        // 1.准备Request
        SearchRequest request = new SearchRequest("hotel");
        // 2.准备DSL
        request.source()
                .query(QueryBuilders.matchAllQuery());
        // 3.发送请求
        SearchResponse response = client.search(request, RequestOptions.DEFAULT);

        // 4.解析响应
        handleResponse(response);
    }
    private void handleResponse(SearchResponse response) {
        // 4.解析响应
        SearchHits searchHits = response.getHits();
        // 4.1.获取总条数
        long total = searchHits.getTotalHits().value;
        System.out.println("共搜索到" + total + "条数据");
        // 4.2.文档数组
        SearchHit[] hits = searchHits.getHits();
        // 4.3.遍历
        for (SearchHit hit : hits) {
            // 获取文档source
            String json = hit.getSourceAsString();
            // 反序列化
            HotelDoc hotelDoc = JSON.parseObject(json, HotelDoc.class);
            System.out.println("hotelDoc = " + hotelDoc);
        }
    }

结果

match查询

 全文检索的match和multi_match查询与match_all的API基本一致。差别是查询条件，也就是query的部分

match  

@Test
    void testMatch() throws IOException {
        // 1.准备Request
        SearchRequest request = new SearchRequest("hotel");
        // 2.准备DSL
        request.source()
                .query(QueryBuilders.matchQuery("all", "百家"));
        // 3.发送请求
        SearchResponse response = client.search(request, RequestOptions.DEFAULT);
        // 4.解析响应
        handleResponse(response);

    }

结果

multi_match 

 @Test
    void testMatch() throws IOException {
        // 1.准备Request
        SearchRequest request = new SearchRequest("hotel");
        // 2.准备DSL
        request.source()
                .query(QueryBuilders.multiMatchQuery("百家", "name","business"));
        // 3.发送请求
        SearchResponse response = client.search(request, RequestOptions.DEFAULT);
        // 4.解析响应
        handleResponse(response);

    }

 结果

精确查询

精确查询主要是两者：

• term：词条精确匹配

• range：范围查询

与之前的查询相比，差异同样在查询条件，其它都一样

 term

@Test
    void testTerm() throws IOException {
        // 1.准备Request
        SearchRequest request = new SearchRequest("hotel");
        // 2.准备DSL
        request.source()
                .query(QueryBuilders.termQuery("city", "北京"));
        // 3.发送请求
        SearchResponse response = client.search(request, RequestOptions.DEFAULT);
        // 4.解析响应
        handleResponse(response);

    }

结果

range

@Test
    void testTerm() throws IOException {
        // 1.准备Request
        SearchRequest request = new SearchRequest("hotel");
        // 2.准备DSL
        request.source()
                .query(QueryBuilders.rangeQuery("price").gte(100).lte(2000));
        // 3.发送请求
        SearchResponse response = client.search(request, RequestOptions.DEFAULT);
        // 4.解析响应
        handleResponse(response);

    }

 结果

布尔查询

布尔查询是用must、must_not、filter等方式组合其它查询

 @Test
    void testBool() throws IOException {
        // 1.准备Request
        SearchRequest request = new SearchRequest("hotel");
        // 2.准备DSL
        // 2.1.准备BooleanQuery
        BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
        // 2.2.添加term
        boolQuery.must(QueryBuilders.termQuery("city", "上海"));
        // 2.3.添加range
        boolQuery.filter(QueryBuilders.rangeQuery("price").lte(2000));

        request.source().query(boolQuery);
        // 3.发送请求
        SearchResponse response = client.search(request, RequestOptions.DEFAULT);
        // 4.解析响应
        handleResponse(response);

    }

结果 

排序、分页

搜索结果的排序和分页是与query同级的参数，因此同样是使用request.source()来设置  

@Test
    void testPageAndSort() throws IOException {
        // 页码，每页大小
        int page = 1, size = 5;

        // 1.准备Request
        SearchRequest request = new SearchRequest("hotel");
        // 2.准备DSL
        // 2.1.query
        request.source().query(QueryBuilders.matchAllQuery());
        // 2.2.排序 sort
        request.source().sort("price", SortOrder.ASC);
        // 2.3.分页 from、size
        request.source().from((page - 1) * size).size(5);
        // 3.发送请求
        SearchResponse response = client.search(request, RequestOptions.DEFAULT);
        // 4.解析响应
        handleResponse(response);

    }

结果

高亮

高亮的代码与之前代码差异较大，有两点：

• 查询的DSL：其中除了查询条件，还需要添加高亮条件，同样是与query同级。

• 结果解析：结果除了要解析_source文档数据，还要解析高亮结果

 

@Test
    void testHighlight() throws IOException {
        // 1.准备Request
        SearchRequest request = new SearchRequest("hotel");
        // 2.准备DSL
        // 2.1.query
        request.source().query(QueryBuilders.matchQuery("all", "如家"));
        // 2.2.高亮
        request.source().highlighter(new HighlightBuilder().field("name").requireFieldMatch(false));
        // 3.发送请求
        SearchResponse response = client.search(request, RequestOptions.DEFAULT);
        // 4.解析响应
        handleResponse1(response);

    }

    private void handleResponse1(SearchResponse response) {
        // 4.解析响应
        SearchHits searchHits = response.getHits();
        // 4.1.获取总条数
        long total = searchHits.getTotalHits().value;
        System.out.println("共搜索到" + total + "条数据");
        // 4.2.文档数组
        SearchHit[] hits = searchHits.getHits();
        // 4.3.遍历
        for (SearchHit hit : hits) {
            // 获取文档source
            String json = hit.getSourceAsString();
            // 反序列化
            HotelDoc hotelDoc = JSON.parseObject(json, HotelDoc.class);
            // 获取高亮结果
            Map highlightFields = hit.getHighlightFields();
            if (!CollectionUtils.isEmpty(highlightFields)) {
                // 根据字段名获取高亮结果
                HighlightField highlightField = highlightFields.get("name");
                if (highlightField != null) {
                    // 获取高亮值
                    String name = highlightField.getFragments()[0].string();
                    // 覆盖非高亮结果
                    hotelDoc.setName(name);
                }
            }
            System.out.println("hotelDoc = " + hotelDoc);
        }
    }

结果