不同键上的弹性搜索聚合
发布时间:2020-12-14 04:51:50 所属栏目:百科 来源:网络整理
导读:我想在“类别”字段中的不同键上汇总我的文档. 这是两个文件: "date": 1470271301,"categories": { "1": [blabla],"2": [blala] } "date": 144343545,"2": [coco] "3": [rat,saouth] } 类别映射: "categories" : { "properties" : { "1" : { "type" : "lon
我想在“类别”字段中的不同键上汇总我的文档.
这是两个文件: "date": 1470271301,"categories": { "1": [blabla],"2": [blala] } "date": 144343545,"2": [coco] "3": [rat,saouth] } 类别映射: "categories" : { "properties" : { "1" : { "type" : "long" 我希望得到这样的东西: "buckets" : [ { "key" : "1","doc_count" : 2 },{ "key" : "2","doc_count" : 2 { "key" : "3","doc_count" : 1 } 有没有一个很好的方法来做这个而不改变我的文档的映射? 解决方法
可以使用元字段
_field_names来实现此目的.
如下例所示,在此处运行聚合将为您提供文档计数. 示例: put test/test/1 { "date": 1470271301,"categories": { "1": ["blabla"],"2": ["blala"] } } put test/test/2 { "date": 144343545,"2": ["coco"],"3": ["rat","saouth"] } } POST test/_search { "size": 0,"aggs": { "field_documents": { "terms": { "field": "_field_names","include" : "categories.*","size": 0 } } } } 结果: "aggregations": { "field_documents": { "doc_count_error_upper_bound": 0,"sum_other_doc_count": 0,"buckets": [ { "key": "categories","doc_count": 2 },{ "key": "categories.1",{ "key": "categories.2",{ "key": "categories.3","doc_count": 1 } ] } } (编辑:李大同) 【声明】本站内容均来自网络,其相关言论仅代表作者个人观点,不代表本站立场。若无意侵犯到您的权利,请及时与联系站长删除相关内容! |