top_hits 的操作是在第一个 aggs 聚合操作条件下,进行再次聚合。 比如我们想要获取各个 age 的数据中,按照 balance 字段进行倒序排序的前三个,我们可以如下操作: GET /bank/_search {"size":0,"aggs": {"top_ages": {"terms": {"field":"age","size":30},"aggs": {"top_balance_hits": {"top_...
top hits:一般用于分桶之后,获取每个桶内最匹配的前几个文档的列表,即详情数据,使用时一般需要带上排序信息 //用于查询 sales 索引中按照 type 字段进行聚合分桶,然后返回每个分桶中按照 date 字段降序后的 top 1 的所有文档 POST /sales/_search?size=0 { "aggs": { "top_tags": { "terms": { //te...
top hit 操作 1、指标聚合的基本结构 指标聚合操作的基本结构大致如下: GET /bank/_search { "size": 0, "aggs": { "aggregation_name": { "agg_name": { "field": "field_name" } } } } 其中,aggregation_name 为聚合返回结果的名称,由我们自己定义,agg_name 为聚合的参数,比如最大值最小值,...
"aggs": { "min_age": { "min": { #关键词 "field": "age" } } } } #注意我们将size设置成0,这样我们就可以只看到聚合结果了,而不会显示命中的结果 #一次返回多个聚合结果 (并列关系,不是子聚合) GET myindex/_search { "size": 0, "aggs": { "min_age": { "min": { "field": "age...
{"took":3,"timed_out":false,"_shards": {"total":3,"successful":3,"skipped":0,"failed":0},"hits": {"total": {"value":6,"relation":"eq"},"max_score":null,"hits": [ ] },"aggregations": {"tags_aggs": {"doc_count_error_upper_bound":0,"sum_other_doc_count":0,"buckets...
top hit 操作 1、指标聚合的基本结构 指标聚合操作的基本结构大致如下: GET/bank/_search{"size":0,"aggs":{"aggregation_name":{"agg_name":{"field":"field_name"}}} 其中,aggregation_name 为聚合返回结果的名称,由我们自己定义,agg_name 为聚合的参数,比如最大值最小值,平均值等,这个我们在下面介绍...
"boost":1}},"aggs":{"group_by_trace_id":{"terms":{"field":"trace_id","order":{"top_hit":"asc"}},"aggs":{"min_trace":{"min":{"field":"log_time"}},"top_test":{"top_hits":{"sort":{"log_time":"asc"},"size":1}},"top_hit":{"min":{"script":"_score"}}} Jav...
{"field":"title","order":"asc"}}}]},"aggs":{"hits":{"top_hits":{"size":100}}}在回应中你会看到after_key结构:"after_key":{"store":"1087","status":"OK1087","title":"Titanic1087"},它是⼀种游标,需要在后续查询中使⽤,例如:{"size":0,"aggs":{"my_buckets":{"composite...
七、非单值分析:Top型 top_hits 分桶后的top hits 代码语言:javascript 复制 POST /sales/_search?size=0 { "aggs": { "top_tags": { "terms": { "field": "type", "size": 3 }, "aggs": { "top_sales_hits": { "top_hits": { "sort": [ { "date": { "order": "desc" } } ]...
Top_hits 官网文档地址:https://www.elastic.co/guide/en/elasticsearch/reference/8.1/search-aggregations-metrics-top-hits-aggregation.html # 根据user聚合只取一个聚合结果,并且获取命中数据的详情前3条,并按照指定字段排序 POST bilili_elasticsearch/_search { "size": 0, "aggs": { "terms_agg_user": ...