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SpringBoot整合ES解析搜索返回字段问题

目录
  • 1. 数据构造
  • 2. ElasticSearch 查询集群中所有索引中的所有文档
  • 3. ElasticSearch 搜索结果字段解析
    • 1. took 搜索请求耗费了多少毫秒
    • 2. shards 查询中参与分片的总数
    • 3. timed_out 查询是否超时
    • 4. hits 表示搜索结果
  • 4. SpringBoot 整合ElasticSearch获取搜索结果
    • 5 .ElasticSearch 搜索结果的面试题

      1. 数据构造

      索引2个文档到 hotel 索引中:

      PUT /hotel/_doc/1
      {
        "title": "文雅酒店",
        "city": "青岛",
        "price": 556,
        "create_time": "20200418120000",
        "amenities": "浴池,普通停车场/充电停车场",
        "full_room": false,
        "location": {
          "lat": 36.083078,
          "lon": 120.37566
        },
        "praise": 10
      }
      
      PUT /hotel/_doc/2
      {
        "title": "金都嘉怡假日酒店",
        "city": "北京",
        "price": 337,
        "create_time": "20210315200000",
        "amenities": "wifi,充电停车场/可升降停车场",
        "full_room": false,
        "location": {
          "lat": 39.915153,
          "lon": 116.403
        },
        "praise": 60
      }
      
      PUT /hotel/_doc/1
      {
        "title": "文雅酒店",
        "city": "青岛",
        "price": 556,
        "create_time": "20200418120000",
        "amenities": "浴池,普通停车场/充电停车场",
        "full_room": false,
        "location": {
          "lat": 36.083078,
          "lon": 120.37566
        },
        "praise": 10
      }
      
      PUT /hotel/_doc/2
      {
        "title": "金都嘉怡假日酒店",
        "city": "北京",
        "price": 337,
        "create_time": "20210315200000",
        "amenities": "wifi,充电停车场/可升降停车场",
        "full_room": false,
        "location": {
          "lat": 39.915153,
          "lon": 116.403
        },
        "praise": 60
      }
      

      2. ElasticSearch 查询集群中所有索引中的所有文档

       GET /hotel/_search
      {
        "took" : 499,
        "timed_out" : false,
        "_shards" : {
          "total" : 5,
          "successful" : 5,
          "skipped" : 0,
          "failed" : 0
        },
        "hits" : {
          "total" : {
            "value" : 2,
            "relation" : "eq"
          },
          "max_score" : 1.0,
          "hits" : [
            {
              "_index" : "hotel",
              "_type" : "_doc",
              "_id" : "2",
              "_score" : 1.0,
              "_source" : {
                "title" : "金都嘉怡假日酒店",
                "city" : "北京",
                "price" : 337,
                "create_time" : "20210315200000",
                "amenities" : "wifi,充电停车场/可升降停车场",
                "full_room" : false,
                "location" : {
                  "lat" : 39.915153,
                  "lon" : 116.403
                },
                "praise" : 60
              }
            },
            {
              "_index" : "hotel",
              "_type" : "_doc",
              "_id" : "1",
              "_score" : 1.0,
              "_source" : {
                "title" : "文雅酒店",
                "city" : "青岛",
                "price" : 556,
                "create_time" : "20200418120000",
                "amenities" : "浴池,普通停车场/充电停车场",
                "full_room" : false,
                "location" : {
                  "lat" : 36.083078,
                  "lon" : 120.37566
                },
                "praise" : 10
              }
            }
          ]
        }
      }
      
      

      3. ElasticSearch 搜索结果字段解析

      1. took 搜索请求耗费了多少毫秒

      took 值告诉我们执行整个搜索请求耗费了多少毫秒。

      2. shards 查询中参与分片的总数

      _shards 部分告诉我们在查询中参与分片的总数,以及这些分片成功了多少个失败了多少个。正常情况下我们不希望分片失败,但是分片失败是可能发生的。如果我们遭遇到一种灾难级别的故障,在这个故障中丢失了相同分片的原始数据和副本,那么对这个分片将没有可用副本来对搜索请求作出响应。假若这样,Elasticsearch 将报告这个分片是失败的,但是会继续返回剩余分片的结果。

      3. timed_out 查询是否超时

      timed_out 值告诉我们查询是否超时。默认情js况下,搜索请求不会超时。

      4. hits 表示搜索结果

      返回结果中最重要的部分是 hits ,它包含 total 字段来表示匹配到的文档总数,并且一个 hits 数组包含所查询结果的前十个文档。在解析搜索结果时,我们通常需要关注以下几个字段:

      hits.total.value:匹配的文档总数。

      hits.max_score:与查询所匹配文档的_score的最大值。

      hits.hits:匹配的文档列表。

      hits.hits._source:匹配的文档的原始数据。

      hits.hits._score:匹配的文档的分数。它衡量了文档与查询的匹配程度,默认情况下,首先返回最相关的文档结果,就是说,返回的文档是按照score 降序排列的。

      hits.hits.highlight:匹配的文档的高亮显示信息。

      4. SpringBoot 整合ElasticSearch获取搜索结果

      @Slf4j
      @Service
      public class ElasticSearchImpl {
      
          @Autowired
          private RestHighLevelClient restHighLevelClient;
      
          public void searchUser() throws IOException {
              SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
              SearchRequest searchRequest = new SearchRequest(new String[]{"hotel"},searchSourceBuilder);
              SearchResponse searchResponse = restHighLevelClient.search(searchRequest, RequestOptions.DEFAULT);
      
              TimeValue took = searchResponse.getTook();
              System.out.println("took = " + took);
      
              // 搜索结果
              SearchHwww.devze.comits searchHits = searchResponse.getHits();
      
              // hits.total.value:匹配的文档总数
              TotalHits totalHits = searchHits.getTotalHits();
              long value = totalHits.value;
              System.out.println("value = " + value);
      
              // hits.max_score:与查询所匹配文档的_score的最大值
              float maxScore = searchHits.getMaxScore();
              System.out.println("maxScore = " + maxScore);
      
              // hits.hits:匹配的文档列表
              SearchHit[] hits = searchHits.getHits();
              for (SearchHit hit : hits) {
                  // hits.hits._source:匹配的文档的原始数据
                  String sourceAsString = hit.getSourceAsString();
                  System.out.println("sourceAsString = " + sourceAsString);
      
                  //  hits.hits._id:匹配的文档的id
                  String id = hit.getId();
                  System.out.println("id = " + id);
      
                  Map<String, DocumentField> fields = hit.getFields();
                  System.out.println("fields = " + fields);
      
                  String index = hit.getIndex();
                  System.out.println("index = " + index);
      
                  float score = hit.getScore();
                  System.out.println("score = " + score);
              }
              System.out.println(searchResponse);
      
          }
      }
      
      @Slf4j
      @Service
      public class ElasticSearchImpl {
      
          @Autowired
          private RestHighLevelClient restHighLevelClient;
      
          public void searchUser() throws IOException {
              SearchSourceBuilder sRvPFYTearchSourceBuilder = new SearchSourceBuilder();
              SearchRequest searchRequest = new SearchRequest(new String[]{"hotel"},searchSourceBuilder);
              SearchResponse searchResponse = restHighLevelClient.search(searchRequest, RequestOptions.DEFAULT);
      
              TimeValue took = searchResponse.getTook();
              System.out.println("took = " + took);
      
              // 搜索结果
              SearchHits searchHits = searchResponse.getHits();
      
              // hits.total.value:匹配的文档总数
              TotalHits totalHits = searchHits.getTotalHits();
              long value = totalHits.value;
              System.out.println("value = " + value);
      
              // hits.max_score:与查询所匹配文档的_score的最大值
              float maxScore = searchHits.getMaxScore();
              System.out.println("maxScore = " + maxScore);
      
              // hits.hits:匹配的文档列表
              SearchHit[] hits = searchHits.getHits();
              for (SearchHit hit : hits) {
                  // hits.hits._source:匹配的文档的原始数据
                  String sourceAsString = hit.getSourceAsString();
                  System.out.println("sourceAsString = " + sourceAsString);
      
                  //  hits.hits._id:匹配的文档的id
                  String id = hit.getId();
                  System.out.println("id = " + id);
      
                  Map<String, DocumentField> fields = hit.getFields();
                  System.out.println("fields = " + fields);
      
                  String index = hit.getIndex();
                  System.out.println("index = " + index);
      
                  float score = hit.getScore();
                  System.out.println("score = " + score);
              }
              System.out.println(searchResponse);
      
          }
      }
      
      took=2ms
      value = 2
      maxScore = 1.0
      
      sourceAsString = {"title":"金都嘉怡假日酒店","city":"北京","price":337,"create_time":"20210315200000","amenities":"wifi,充电停车场/可升降停车场","full_room":false,"location":{"lat":39.915153,"lon":116.403},"praise":60}
      id = 2
      fields = {}
      index = hotel
      score = 1.0
      
      sourceAsString = {"title":"文雅酒店","city":"青岛","price":556,"create_time":"20200418120000","amenities":"浴池,普通停车场/充电停车场","full_room":false,"location":{"lat":36.083078,"lon":120.37566},"praise":10}
      id = 1
      fields = {}
      index = hotel
      score = 1.0
      {
          "took": 2,
          "timed_out": false,
          "_shards": {
              "total": 5,
              "successful": 5,
              "skipped": 0,
              "failed":开发者_JAVA教程 0
          },
          "hits": {
              "total": {
                  "value": 2,
                  "relation": "eq"
              },
              "max_score": 1.0,
              "hits": [
                  {
                      "_index": "hotel",
                      "_type": "_doc",
                      "_id": "2",
                      "_score": 1.0,
                      "_source": {
                          "title": "金都嘉怡假日酒店",
                          "city": "北京",
                          "price": 337,
                          "create_time": "20210315200000",
                          "amenities": "wifi,充电停车场/可升降停车场",
                          "full_room": false,
                          "location": {
                              "lat": 39.915153,
                              "lon": 116.403
                          },
                          php"praise": 60
                      }
                  },
                  {
                      "_index": "hotel",
      编程                "_type": "_doc",
                      "_id": "1",
                      "_score": 1.0,
                      "_source": {
                          "title": "文雅酒店",
                          "city": "青岛",
                          "price": 556,
                          "create_time": "20200418120000",
                          "amenities": "浴池,普通停车场/充电停车场",
                          "full_room": false,
                          "location": {
                              "lat": 36.083078,
                              "lon": 120.37566
                          },
                          "praise": 10
                      }
                  }
              ]
          }
      }
      
      

      5 .ElasticSearch 搜索结果的面试题

      1. ElasticSearch 搜索结果中的 _score 字段是什么意思?

      答:_score 字段表示匹配文档的相关度得分,分数越高表示匹配度越高。

      2. ElasticSearch 搜索结果中的 highlight 字段是什么意思?

      答:highlight 字段表示匹配文档中被高亮显示的字段及其高亮显示的内容。

      3. 如何获取 ElasticSearch 搜索结果中的总文档数?

      答:可以通过 hits.total.value 字段获取匹配的文档总数。

      4. 如何获取 ElasticSearch 搜索结果中的匹配文档列表?

      答:可以通过 hits.hits 字段获取匹配的文档列表。

      5. 如何获取 ElasticSearch 搜索结果中匹配文档的原始数据?

      答:可以通过 hits.hits._source 字段获取匹配文档的原始数据。

      6. 如何获取 ElasticSearch 搜索结果中匹配文档的高亮显示信息?

      答:可以通过 hits.hits.highlight 字段获取匹配文档的高亮显示信息。

      7. ElasticSearch 搜索结果中的 _shards 字段是什么意思?

      答:_shards 字段表示搜索涉及的分片信息,包括总分片数、成功的分片数、跳过的分片数和失败的分片数。

      8. ElasticSearch 搜索结果中的 took 字段是什么意思?

      答:took 字段表示搜索耗时,单位为毫秒。

      到此这篇关于SpringBoot整合ES解析搜索返回字段的文章就介绍到这了,更多相关SpringBoot整合ES内容请搜索我们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我们!

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