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SpringBoot实现elasticsearch 查询操作(RestHighLevelClient 的案例实战)

作者:我有一颗五叶草

这篇文章主要给大家介绍了SpringBoot如何实现elasticsearch 查询操作,文中有详细的代码示例和操作流程,具有一定的参考价值,需要的朋友可以参考下

上一节讲述了 SpringBoot 实现 elasticsearch 索引操作,这一章节讲述SpringBoot实现elasticsearch查询操作。

0. 环境准备

案例用到的索引库结构

PUT /hotel
{
  "mappings": {
    "properties": {
      "id": {
        "type": "keyword"
      },
      "name":{
        "type": "text",
        "analyzer": "ik_max_word",
        "copy_to": "all"
      },
      "address":{
        "type": "keyword",
        "index": false
      },
      "price":{
        "type": "integer"
      },
      "score":{
        "type": "integer"
      },
      "brand":{
        "type": "keyword",
        "copy_to": "all"
      },
      "city":{
        "type": "keyword",
        "copy_to": "all"
      },
      "starName":{
        "type": "keyword"
      },
      "business":{
        "type": "keyword"
      },
      "location":{
        "type": "geo_point"
      },
      "pic":{
        "type": "keyword",
        "index": false
      },
      "all":{
        "type": "text",
        "analyzer": "ik_max_word"
      }
    }
  }
}

1. 查询全部

@GetMapping("/searchAll")
public List<HotelDoc> searchAll() throws Exception {
    //1.创建请求语义对象
    SearchRequest searchRequest = new SearchRequest("索引名称");
    // QueryBuilders: 构建查询类型
    searchRequest.source().query(QueryBuilders.matchAllQuery());
    SearchResponse searchResponse = client.search(searchRequest, RequestOptions.DEFAULT);
    return handleResponse(searchResponse);
}

2. 根据 name 查询 match 分词查询

 @GetMapping("/searchByName/{name}")
public List<HotelDoc> searchByName(@PathVariable("name") String name) 
	throws Exception {
    //1.创建请求语义对象
    SearchRequest searchRequest = new SearchRequest("索引名称");
    // QueryBuilders: 构建查询类型
    searchRequest.source().query(QueryBuilders.matchQuery("name", name));
    SearchResponse searchResponse = client.search(searchRequest, RequestOptions.DEFAULT);
    return handleResponse(searchResponse);
}

3. 根据 name 和 品牌查询 multiMatch 分词查询

@GetMapping("/searchByNameAndBrand/{name}")
public List<HotelDoc> searchByNameAndBrand(@PathVariable("name") String name) throws Exception {
    //1.创建请求语义对象
    SearchRequest searchRequest = new SearchRequest("索引名称");
    // QueryBuilders: 构建查询类型
    searchRequest.source().query(QueryBuilders.multiMatchQuery(name,"name","brand"));
    SearchResponse searchResponse = client.search(searchRequest, RequestOptions.DEFAULT);
    return handleResponse(searchResponse);
}

4. 根据 brand 查询 match 分词查询

@GetMapping("/searchByBrand/{name}")
public List<HotelDoc> searchByBrand(@PathVariable("name") String name) throws Exception {
    //1.创建请求语义对象
    SearchRequest searchRequest = new SearchRequest("索引名称");
    // QueryBuilders: 构建查询类型
    searchRequest.source().query(QueryBuilders.matchQuery("brand", name));
    SearchResponse searchResponse = client.search(searchRequest, RequestOptions.DEFAULT);
    return handleResponse(searchResponse);
}

5. 按照价格 范围查询

 @GetMapping("/searchByPrice/{low}/{high}")
public List<HotelDoc> searchByPrice(@PathVariable("low") String low, @PathVariable("high") String high) throws Exception {
    //1.创建请求语义对象
    SearchRequest searchRequest = new SearchRequest("索引名称");
    // QueryBuilders: 构建查询类型
    searchRequest.source().query(QueryBuilders.rangeQuery("price").gte(low).lte(high));
    SearchResponse searchResponse = client.search(searchRequest, RequestOptions.DEFAULT);
    return handleResponse(searchResponse);
}

6. 精确查询

@GetMapping("/termQueryCity/{city}")
public List<HotelDoc> termQueryCity(@PathVariable("city") String city) throws Exception {
    //1.创建请求语义对象
    SearchRequest searchRequest = new SearchRequest("索引名称");
    // QueryBuilders: 构建查询类型
    SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
	//searchSourceBuilder.query(QueryBuilders.termQuery("city", city)); 这行有点小问题
	//	https://zhuanlan.zhihu.com/p/270426807 参考
    searchSourceBuilder.query(QueryBuilders.termQuery("city.keyword", city));
    searchRequest.source(searchSourceBuilder);
    SearchResponse searchResponse = client.search(searchRequest, RequestOptions.DEFAULT);
    return handleResponse(searchResponse);
}

7. boolQuery

@GetMapping("/testBool")
public List<HotelDoc> testBool() throws Exception {
    // 1.准备Request
    SearchRequest request = new SearchRequest("索引名称");
    // 2.准备DSL
    // 2.1.准备BooleanQuery
    BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
    // 2.2.添加term
    boolQuery.must(QueryBuilders.termQuery("city.keyword", "杭州"));
    // 2.3.添加range
    boolQuery.filter(QueryBuilders.rangeQuery("price").lte(250));
    request.source().query(boolQuery);
    // 3.发送请求
    SearchResponse response = client.search(request, RequestOptions.DEFAULT);
    // 4.解析响应
    return handleResponse(response);
}

8. 分页

 @GetMapping("/testPageAndSort/{currentPage}/{pageSize}")
public List<HotelDoc> testPageAndSort(@PathVariable("currentPage") Integer currentPage, @PathVariable("pageSize") Integer pageSize) throws Exception {
    // 页码,每页大小
    // 1.准备Request
    SearchRequest request = new SearchRequest("索引名称");
    // 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((currentPage - 1) * pageSize).size(pageSize);
    // 3.发送请求
    SearchResponse response = client.search(request, RequestOptions.DEFAULT);
    // 4.解析响应
    return handleResponse(response);
}

9. 高亮查询

 @GetMapping("/testHighlight/{name}")
void testHighlight(@PathVariable("name") String name) throws Exception {
    // 1.准备Request
    SearchRequest request = new SearchRequest("索引名称");
    // 2.准备DSL
    // 2.1.query
    request.source().query(QueryBuilders.matchQuery("name", name));
    // 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
    handleResponse2(response);
}

10. 公共解析

private List<HotelDoc> handleResponse(SearchResponse response) throws Exception {
    // 获取命中的所有内容
    SearchHits searchHits = response.getHits();
    // 获取命中的总条数
    long count = searchHits.getTotalHits().value;
    System.out.println("命中的条数为: "+ count);
    // 获取命中的文档对象数组
    SearchHit[] hits = searchHits.getHits();
    List<HotelDoc> docList = new ArrayList<>();
    for (SearchHit hit : hits) {
        // 解析每一个hit对象得到对应的文档数据
        String json = hit.getSourceAsString();
        //  HotelDoc hotelDoc = JSON.parseObject(json, HotelDoc.class);
        docList.add(JSON.parseObject(json, HotelDoc.class));
    }
    //destroy();
    return docList;
}
private void handleResponse2(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<String, HighlightField> 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);
    }
}

到此这篇关于SpringBoot实现elasticsearch 查询操作(RestHighLevelClient 的案例实战)的文章就介绍到这了,更多相关SpringBoot elasticsearch查询操作内容请搜索脚本之家以前的文章或继续浏览下面的相关文章希望大家以后多多支持脚本之家!

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