java - Elasticsearch 按搜索条件分组/聚合响应
问题描述
我有一个具有属性 categoryIds 的产品。
"id" : 1,
"title" : "product",
"price" : "1100.00",
"categories" : [ the ids of the product's categories],
"tags" : [ the ids of the product's tags ],
"variants" : [ nested type with properties: name, definition, maybe in the future availability dates]
我想根据查询中的类别对产品 ID 进行分组。在 POST _search 中,我询问属于特定类别的产品(例如 [1, 2, 3]),我还可以使用变体来限制它们。如何对我的答案进行分组/聚合以获取某个类别的 productId 列表?我想要得到什么:
{
"productsForCategories": {
"1": [
"product-1",
"product-2",
"product-3"
],
"2": [
"product-1",
"product-3",
"product-4"
],
"3": [
"product-5",
"product-6"
]
}
}
提前感谢所有答案。
java生成了什么。
curl --location --request POST 'https://localhost:9200/products/_search' \
--header 'Content-Type: application/json' \
--data-raw '{
"size": 0,
"query": {
"bool": {
"must": [
{
"bool": {
"should": [
{
"term": {
"categories": {
"value": 7,
"boost": 1.0
}
}
}
],
"adjust_pure_negative": true,
"minimum_should_match": "1",
"boost": 1.0,
"_name": "fromRawQuery"
}
}
],
"filter": [
{
"bool": {
"adjust_pure_negative": true,
"boost": 1.0,
"_name": "filterPart"
}
}
],
"adjust_pure_negative": true,
"boost": 1.0,
"_name": "queryPart"
}
},
"_source": {
"includes": [
"categories",
"productType",
"relations"
],
"excludes": []
},
"stored_fields": "_id",
"sort": [
{
"_score": {
"order": "desc"
}
}
],
"aggregations": {
"agg": {
"global": {},
"aggregations": {
"categories": {
"terms": {
"field": "categories",
"size": 2147483647,
"min_doc_count": 1,
"shard_min_doc_count": 0,
"show_term_doc_count_error": false,
"order": [
{
"_count": "desc"
},
{
"_key": "asc"
}
]
},
"aggregations": {
"productsForCategories": {
"terms": {
"field": "_id",
"size": 2147483647,
"min_doc_count": 1,
"shard_min_doc_count": 0,
"show_term_doc_count_error": false,
"order": [
{
"_count": "desc"
},
{
"_key": "asc"
}
]
}
}
}
}
}
}
}
}'```
解决方案
我相信你想要的是每个类别对应的产品。正如 Bhavya 提到的,您可以使用术语聚合。
GET products/_search
{
"size": 0, //<===== If you need only aggregated results, set this to 0. It represents query result size.
"aggs": {
"categories": {
"terms": {
"field": "cat_ids", // <================= Equivalent of group by Cat_ids
"size": 10
},"aggs": {
"products": {
"terms": {
"field": "name.keyword",//<============= For Each category group by products
"size": 10
}
}
}
}
}
}
结果:
"aggregations" : {
"categories" : {
"doc_count_error_upper_bound" : 0,
"sum_other_doc_count" : 0,
"buckets" : [
{
"key" : 1, //<========== category id
"doc_count" : 2, //<========== For the given category id 2 products
"products" : {
"doc_count_error_upper_bound" : 0,
"sum_other_doc_count" : 0,
"buckets" : [
{
"key" : "p1", //<========= for cat_id=1, p1 is there
"doc_count" : 1
},
{
"key" : "p2", //<========= for cat_id=1, p2 is there
"doc_count" : 1
}
]
}
},
{
"key" : 2,
"doc_count" : 2,
"products" : {
"doc_count_error_upper_bound" : 0,
"sum_other_doc_count" : 0,
"buckets" : [
{
"key" : "p1",
"doc_count" : 1
},
{
"key" : "p2",
"doc_count" : 1
}
]
}
},
{
"key" : 3,
"doc_count" : 1,
"products" : {
"doc_count_error_upper_bound" : 0,
"sum_other_doc_count" : 0,
"buckets" : [
{
"key" : "p1",
"doc_count" : 1
}
]
}
}
]
}
}
详细信息以评论的形式出现。请删除评论并尝试运行查询。
过滤聚合结果: 见这个