Elasticsearch 聚合,在桶中获取额外的字段
Elasticsearch aggregations, get additional field in bucket
我查询 ES 索引以过滤结果并按所选术语获取聚合。示例查询如下:
GET buyer_requests/vehicle_requests/_search
{
"query": {
"filtered": {
"filter": {
"and": [
{
"terms": {
"vehicle.make.raw": [
"Audi",
"BMW",
"Chevrolet"
]
}
},
{
"range": {
"style.price": {
"gte": 15000,
"lte": 20000
}
}
},
{
"geo_distance": {
"distance": "20000km",
"info.pin": {
"lat": 42,
"lon": 21
}
}
}
]
}
}
},
"aggs": {
"makes": {
"filter": {
"range": {
"style.price": {
"gte": 5000,
"lte": 40000
}
}
},
"aggs": {
"makes": {
"terms": {
"field": "vehicle.make.raw",
"order": {
"_term": "asc"
}
}
}
}
},
"model": {
"filter": {
"and": [
{
"terms": {
"vehicle.make.raw": [
"Audi",
"BMW",
"Chevrolet"
]
}
}
]
},
"aggs": {
"models": {
"terms": {
"field": "vehicle.model.raw",
"size": 10,
"order": {
"_term": "asc"
}
}
}
}
}
}
}
我得到的结果是这样的:
如何在 "buckets" 部分的 "models" 术语中从结果集中获取另一个字段。我想参考 Makes 所以结果看起来像这样:
"model": {
"doc_count": 7,
"models": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "3 Series",
"make": "bmw", <----------- this key
"doc_count": 3
},
{
"key": "4 Series",
"make": "bmw", <----------- this key
"doc_count": 4
},
{
"key": "Camaro",
"make": "chevrolet", <----------- this key
"doc_count": 2
}
]
}
}
您需要将 models
聚合移动为 make
聚合的子聚合,并稍微重新安排 filter
聚合。结果在语法上不会像您期望的那样,但在语义上您将获得所需的数据。
GET buyer_requests/vehicle_requests/_search
{
"query": {
"filtered": {
"filter": {
"and": [
{
"terms": {
"vehicle.make.raw": [
"Audi",
"BMW",
"Chevrolet"
]
}
},
{
"range": {
"style.price": {
"gte": 15000,
"lte": 20000
}
}
},
{
"geo_distance": {
"distance": "20000km",
"info.pin": {
"lat": 42,
"lon": 21
}
}
}
]
}
}
},
"aggs": {
"makes": {
"filter": {
"and": [
{
"terms": {
"vehicle.make.raw": [
"Audi",
"BMW",
"Chevrolet"
]
}
},
{
"range": {
"style.price": {
"gte": 5000,
"lte": 40000
}
}
}
]
},
"aggs": {
"makes": {
"terms": {
"field": "vehicle.make.raw",
"order": {
"_term": "asc"
}
},
"aggs": {
"models": {
"terms": {
"field": "vehicle.model.raw",
"size": 10,
"order": {
"_term": "asc"
}
}
}
}
}
}
}
}
}
我查询 ES 索引以过滤结果并按所选术语获取聚合。示例查询如下:
GET buyer_requests/vehicle_requests/_search
{
"query": {
"filtered": {
"filter": {
"and": [
{
"terms": {
"vehicle.make.raw": [
"Audi",
"BMW",
"Chevrolet"
]
}
},
{
"range": {
"style.price": {
"gte": 15000,
"lte": 20000
}
}
},
{
"geo_distance": {
"distance": "20000km",
"info.pin": {
"lat": 42,
"lon": 21
}
}
}
]
}
}
},
"aggs": {
"makes": {
"filter": {
"range": {
"style.price": {
"gte": 5000,
"lte": 40000
}
}
},
"aggs": {
"makes": {
"terms": {
"field": "vehicle.make.raw",
"order": {
"_term": "asc"
}
}
}
}
},
"model": {
"filter": {
"and": [
{
"terms": {
"vehicle.make.raw": [
"Audi",
"BMW",
"Chevrolet"
]
}
}
]
},
"aggs": {
"models": {
"terms": {
"field": "vehicle.model.raw",
"size": 10,
"order": {
"_term": "asc"
}
}
}
}
}
}
}
我得到的结果是这样的:
如何在 "buckets" 部分的 "models" 术语中从结果集中获取另一个字段。我想参考 Makes 所以结果看起来像这样:
"model": {
"doc_count": 7,
"models": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "3 Series",
"make": "bmw", <----------- this key
"doc_count": 3
},
{
"key": "4 Series",
"make": "bmw", <----------- this key
"doc_count": 4
},
{
"key": "Camaro",
"make": "chevrolet", <----------- this key
"doc_count": 2
}
]
}
}
您需要将 models
聚合移动为 make
聚合的子聚合,并稍微重新安排 filter
聚合。结果在语法上不会像您期望的那样,但在语义上您将获得所需的数据。
GET buyer_requests/vehicle_requests/_search
{
"query": {
"filtered": {
"filter": {
"and": [
{
"terms": {
"vehicle.make.raw": [
"Audi",
"BMW",
"Chevrolet"
]
}
},
{
"range": {
"style.price": {
"gte": 15000,
"lte": 20000
}
}
},
{
"geo_distance": {
"distance": "20000km",
"info.pin": {
"lat": 42,
"lon": 21
}
}
}
]
}
}
},
"aggs": {
"makes": {
"filter": {
"and": [
{
"terms": {
"vehicle.make.raw": [
"Audi",
"BMW",
"Chevrolet"
]
}
},
{
"range": {
"style.price": {
"gte": 5000,
"lte": 40000
}
}
}
]
},
"aggs": {
"makes": {
"terms": {
"field": "vehicle.make.raw",
"order": {
"_term": "asc"
}
},
"aggs": {
"models": {
"terms": {
"field": "vehicle.model.raw",
"size": 10,
"order": {
"_term": "asc"
}
}
}
}
}
}
}
}
}