我正在使用Elasticsearch聚合，这是我的映射：
"products": {
"mappings": {
"product": {
...
"properties": {
"skus": {
"type": "nested",
"properties": {
"availabilities": {
"type": "nested",
"properties": {
"crossed_price": {
"type": "float"
},
"discount": {
"type": "float"
},
"price": {
"type": "float",
"fields": {
"raw": {
"type": "string",
"index": "not_analyzed"
}
}
},
"price_per_unit": {
"type": "nested",
"properties": {
"crossed_price": {
"type": "float"
},
"price": {
"type": "float"
},
"unit": {
"type": "string",
"fields": {
"raw": {
"type": "string",
"index": "not_analyzed"
}
}
}
}
},
"shop_id": {
"type": "string",
"fields": {
"raw": {
"type": "string",
"index": "not_analyzed"
}
}
},
"stock": {
"type": "float"
}
}
},
"desc": {
"type": "nested",
"properties": {
"lang": {
"type": "string",
"fields": {
"raw": {
"type": "string",
"index": "not_analyzed"
}
}
},
"text": {
"type": "string",
"fields": {
"raw": {
"type": "string",
"index": "not_analyzed"
}
}
}
}
},
"ean": {
"type": "string",
"fields": {
"raw": {
"type": "string",
"index": "not_analyzed"
}
}
},
"id": {
"type": "string",
"fields": {
"raw": {
"type": "string",
"index": "not_analyzed"
}
}
},
"medias": {
"type": "nested",
"properties": {
"generated": {
"type": "boolean"
},
"hash": {
"type": "string",
"fields": {
"raw": {
"type": "string",
"index": "not_analyzed"
}
}
},
"source": {
"type": "string",
"fields": {
"raw": {
"type": "string",
"index": "not_analyzed"
}
}
},
"type": {
"type": "string",
"fields": {
"raw": {
"type": "string",
"index": "not_analyzed"
}
}
}
}
},
"name": {
"type": "nested",
"properties": {
"lang": {
"type": "string",
"fields": {
"raw": {
"type": "string",
"index": "not_analyzed"
}
}
},
"text": {
"type": "string",
"fields": {
"raw": {
"type": "string",
"index": "not_analyzed"
}
}
}
}
},
"notify_stock": {
"type": "integer"
},
"popularity": {
"type": "float"
},
"specs": {
"type": "nested",
"properties": {
"id": {
"type": "string"
},
"spec": {
"type": "nested",
"properties": {
"lang": {
"type": "string",
"fields": {
"raw": {
"type": "string",
"index": "not_analyzed"
}
}
},
"text": {
"type": "string",
"fields": {
"raw": {
"type": "string",
"index": "not_analyzed"
}
}
}
}
},
"unit": {
"type": "nested",
"properties": {
"lang": {
"type": "string",
"fields": {
"raw": {
"type": "string",
"index": "not_analyzed"
}
}
},
"text": {
"type": "string",
"fields": {
"raw": {
"type": "string",
"index": "not_analyzed"
}
}
}
}
},
"value": {
"type": "nested",
"properties": {
"lang": {
"type": "string",
"fields": {
"raw": {
"type": "string",
"index": "not_analyzed"
}
}
},
"text": {
"type": "string",
"fields": {
"raw": {
"type": "string",
"index": "not_analyzed"
}
}
}
}
}
}
},
"status": {
"type": "string"
},
"unit": {
"properties": {
"lang": {
"type": "string"
},
"text": {
"type": "string"
}
}
}
}
}
...
}
我希望针对产品进行聚合，以根据规格值构建过滤器。我正在处理多语言规范 - ＆gt;获取基于specs.spec.lang的多语言过滤器。
这是我的要求：
{
"size": 0,
"aggs": {
"skus": {
"nested": {
"path": "skus"
},
"aggs": {
"skus.specs": {
"nested": {
"path": "skus.specs"
},
"aggs": {
"skus.specs.spec": {
"nested": {
"path": "skus.specs.spec"
},
"aggs": {
"skus.specs.spec.text": {
"terms": {
"field": "skus.specs.spec.text.raw"
},
"aggs": {
"skus.specs.value": {
"nested": {
"path": "skus.specs.value"
},
"aggs": {
"skus.specs.value.text": {
"terms": {
"field": "skus.specs.value.text.raw"
}
}
}
}
}
}
}
}
}
}
}
}
}
}
问题：嵌套aggs的值是混合的
{
"took": 52,
"timed_out": false,
"_shards": {
"total": 3,
"successful": 3,
"failed": 0
},
"hits": {
"total": 5020,
"max_score": 0,
"hits": []
},
"aggregations": {
"skus": {
"doc_count": 10258,
"skus.specs": {
"doc_count": 41678,
"skus.specs.spec": {
"doc_count": 41678,
"skus.specs.spec.text": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "Contenance",
"doc_count": 9603,
"skus.specs.value": {
"doc_count": 9602,
"skus.specs.value.text": {
"doc_count_error_upper_bound": 58,
"sum_other_doc_count": 3600,
"buckets": [
{
"key": "Haute",
"doc_count": 1642
},
{
"key": "Moyenne",
"doc_count": 1437
},
{
"key": "Tube",
"doc_count": 571
},
{
"key": "Flacon",
"doc_count": 466
},
{
"key": "Pot",
"doc_count": 406
},
{
"key": "Flacon pompe",
"doc_count": 397
},
{
"key": "Faible",
"doc_count": 331
},
{
"key": "Floral",
"doc_count": 322
},
{
"key": "Floral fruité",
"doc_count": 244
},
{
"key": "Frais (hespéridé)",
"doc_count": 186
}
]
}
}
},
{
"key": "Format",
"doc_count": 7988,
"skus.specs.value": {
"doc_count": 7985,
"skus.specs.value.text": {
"doc_count_error_upper_bound": 36,
"sum_other_doc_count": 2363,
"buckets": [
{
"key": "Moyen",
"doc_count": 1291
},
{
"key": "Clair",
"doc_count": 1095
},
{
"key": "Crème",
"doc_count": 782
},
{
"key": "Foncé",
"doc_count": 686
},
{
"key": "Fluide",
"doc_count": 394
},
{
"key": "50",
"doc_count": 342
},
{
"key": "100",
"doc_count": 314
},
{
"key": "Liquide",
"doc_count": 271
},
{
"key": "Ethnique",
"doc_count": 229
},
{
"key": "Gel",
"doc_count": 218
}
]
}
}
},
{
"key": "Texture",
"doc_count": 6119,
"skus.specs.value": {
"doc_count": 6096,
"skus.specs.value.text": {
"doc_count_error_upper_bound": 55,
"sum_other_doc_count": 2727,
"buckets": [
{
"key": "Eclat",
"doc_count": 1026
},
{
"key": "Hydrate",
"doc_count": 654
},
{
"key": "Uniformise",
"doc_count": 364
},
{
"key": "Protège",
"doc_count": 295
},
{
"key": "30",
"doc_count": 211
},
{
"key": "Anti rides",
"doc_count": 208
},
{
"key": "1",
"doc_count": 178
},
{
"key": "Repulpe",
"doc_count": 170
},
{
"key": "100",
"doc_count": 132
},
{
"key": "Matifie",
"doc_count": 131
}
]
}
}
},
{
"key": "Action",
"doc_count": 4779,
"skus.specs.value": {
"doc_count": 4779,
"skus.specs.value.text": {
"doc_count_error_upper_bound": 27,
"sum_other_doc_count": 1847,
"buckets": [
{
"key": "30",
"doc_count": 595
},
{
"key": "50",
"doc_count": 553
},
{
"key": "10",
"doc_count": 322
},
{
"key": "4",
"doc_count": 288
},
{
"key": "15",
"doc_count": 255
},
{
"key": "200",
"doc_count": 227
},
{
"key": "3",
"doc_count": 214
},
{
"key": "6",
"doc_count": 173
},
{
"key": "150",
"doc_count": 160
},
{
"key": "100",
"doc_count": 145
}
]
}
}
},
{
"key": "Effet",
"doc_count": 4047,
"skus.specs.value": {
"doc_count": 4047,
"skus.specs.value.text": {
"doc_count_error_upper_bound": 2,
"sum_other_doc_count": 380,
"buckets": [
{
"key": "Flacon",
"doc_count": 927
},
{
"key": "Tube",
"doc_count": 725
},
{
"key": "Stick",
"doc_count": 608
},
{
"key": "Solide",
"doc_count": 360
},
{
"key": "Flacon pompe",
"doc_count": 278
},
{
"key": "Crayon",
"doc_count": 245
},
{
"key": "Pot",
"doc_count": 242
},
{
"key": "Stylo",
"doc_count": 125
},
{
"key": "Pinceau",
"doc_count": 99
},
{
"key": "Moyen",
"doc_count": 58
}
]
}
}
},
{
"key": "Couvrance",
"doc_count": 3546,
"skus.specs.value": {
"doc_count": 3546,
"skus.specs.value.text": {
"doc_count_error_upper_bound": 3,
"sum_other_doc_count": 495,
"buckets": [
{
"key": "Brillant",
"doc_count": 703
},
{
"key": "Naturel",
"doc_count": 616
},
{
"key": "Lumineux",
"doc_count": 528
},
{
"key": "Mat",
"doc_count": 525
},
{
"key": "Satiné",
"doc_count": 212
},
{
"key": "Tout en un",
"doc_count": 148
},
{
"key": "Irisé",
"doc_count": 142
},
{
"key": "Pailleté",
"doc_count": 77
},
{
"key": "Crayon",
"doc_count": 50
},
{
"key": "Volume",
"doc_count": 50
}
]
}
}
}
]
}
}
}
}
}
}
答案 0 :(得分：0)
使用反向嵌套解决。