我是 elasticsearch 的新手，现在正在努力解决这个问题。 我的文档如下所示：
{
"productId": "156"
"price": "101.23"
"discount": "2.23"
"marketplace": "some_marketplace"
"categoryId": "256"
"brandId": "356"
"quantity": "10"
"timestamp": "1622435597"
}
我想要达到的目标： 使用给定间隔内每天（或每月）给定类别的计算加权平均价格和折扣制作日期直方图，并计算所有产品平均数量的总和。 我当前的请求如下所示：
POST products/_search
{
"size": 0,
"query": {
"bool": {
"must": [
{
"match": {
"categoryId": "256"
}
}
],
"filter": [
{
"range": {
"timestamp": {
"gte": "1622037600",
"lte": "1622246399"
}
}
}
]
}
},
"aggs": {
"group_day": {
"date_histogram": {
"field": "timestamp",
"calendar_interval": "day",
"format": "yyyy-MM-dd"
},
"aggs": {
"avg_weight_price": {
"weighted_avg": {
"value": {
"field": "price"
},
"weight": {
"field": "quantity"
}
}
},
"avg_weight_discount": {
"weighted_avg": {
"value": {
"field": "discount"
},
"weight": {
"field": "quantity"
}
}
},
"group_by_product": {
"terms": {
"field": "productId"
},
"aggs": {
"avg_quantity": {
"avg": {
"field": "quantity"
}
}
}
}
}
}
}
}
这个查询的结果是：
"aggregations" : {
"group_day" : {
"buckets" : [
{
"key_as_string" : "2021-05-27",
"key" : 1622073600000,
"doc_count" : 18,
"avg_weight_discount" : {
"value" : 20.23
},
"group_by_product" : {
"doc_count_error_upper_bound" : 0,
"sum_other_doc_count" : 0,
"buckets" : [
{
"key" : "100",
"doc_count" : 6,
"avg_quantity" : {
"value" : 9.5
}
},
{
"key" : "101",
"doc_count" : 6,
"avg_quantity" : {
"value" : 9.5
}
},
{
"key" : "102",
"doc_count" : 6,
"avg_quantity" : {
"value" : 9.5
}
}
]
},
"avg_weight_price" : {
"value" : 130.20309941520466
}
},
{
"key_as_string" : "2021-05-28",
"key" : 1622160000000,
"doc_count" : 6,
"avg_weight_discount" : {
"value" : 2.23
},
"group_by_product" : {
"doc_count_error_upper_bound" : 0,
"sum_other_doc_count" : 0,
"buckets" : [
{
"key" : "100",
"doc_count" : 6,
"avg_quantity" : {
"value" : 9.5
}
}
]
},
"avg_weight_price" : {
"value" : 101.23
}
}
]
}
}
因此，我不希望在响应中包含那些 group_by_product 聚合和存储桶，我只需要每天计算一个值 - 存储桶中这些平均值的总和。例如，对于 27-05-2021，如果应该给我 28.5 和 28-05-2021 - 9.5（我每天为每个产品准备几个文档，这些平均值是每天的平均值，我想对所有产品的平均值求和以获得类别总和）
感谢您阅读本文。任何帮助将不胜感激
UPD：我试图将 sum_bucket 添加到最后
"group_by_product": {
"terms": {
"field": "productId"
},
"aggs": {
"avg_quantity": {
"avg": {
"field": "quantity"
}
}
}
}
}
},
"avg_product_quantity_sum": {
"sum_bucket": {
"buckets_path": "group_day>group_by_product>avg_quantity"
}
}
但我收到以下错误
"type" : "aggregation_execution_exception",
"reason" : "buckets_path must reference either a number value or a single value numeric metric aggregation, got: [Object[]] at aggregation [group_by_product]"
看起来这不可能在一个表达式中写多个“>”，否则我错过了一些东西