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@servicepublic 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 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); }}@slf4j@servicepublic 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 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=2msvalue = 2maxscore = 1.0sourceasstring = {"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 = 2fields = {}index = hotelscore = 1.0sourceasstring = {"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 = 1fields = {}index = hotelscore = 1.0
{ "took": 2, "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 } } ] }}
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。
以上就是springboot整合es解析搜索返回字段问题怎么解决的详细内容。