在我的 Elastic 文档中,我有 CityId、RootId、RootName、Price。现在我必须在具有以下条件的城市中找到前 7 个根。
Name and id of root which has minimum price in a City.
top 7 roots:- roots those have max number of entry in a City.
例如:-
CityId RootId RootName Price
11 1 ABC 90
11 1 ABC 100
11 2 DEF 80
11 2 DEF 90
11 2 DEF 60
CityId =11 的答案:-
RootId RootName Price
2 DEF 60
1 ABC 90
最佳答案
我不知道 Nest 的语法。添加 JSON 格式的工作示例。
索引映射:
{
"mappings":{
"properties":{
"listItems":{
"type":"nested"
}
}
}
}
指数数据:
{
"RootId": 2,
"CityId": 11,
"RootName": "DEF",
"listItems": [
{
"Price": 60
},
{
"Price": 90
},
{
"Price": 80
}
]
}
{
"RootId": 1,
"CityId": 11,
"RootName": "ABC",
"listItems": [
{
"Price": 100
},
{
"Price": 90
}
]
}
搜索查询:
{
"size": 0,
"aggs": {
"id_terms": {
"terms": {
"field": "RootId"
},
"aggs": {
"nested_entries": {
"nested": {
"path": "listItems"
},
"aggs": {
"min_position": {
"min": {
"field": "listItems.Price"
}
}
}
}
}
}
}
}
搜索结果:
"aggregations": {
"id_terms": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": 1,
"doc_count": 1,
"nested_entries": {
"doc_count": 2,
"min_position": {
"value": 90.0
}
}
},
{
"key": 2,
"doc_count": 1,
"nested_entries": {
"doc_count": 3,
"min_position": {
"value": 60.0
}
}
}
]
}
}
关于elasticsearch - Nest Elastic Search 中的嵌套聚合,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/64131059/