[英]Filter parent by children aggregation in Elasticsearch
I have a parent-children relationship in my ES mapping and I want to filter the parents by the value of an aggregation (avg) on their children. 我在ES映射中有一个父子关系,我希望通过子项上的聚合(avg)值来过滤父项。 That is, I only want to retrieve parents where that value is within a given range.
也就是说,我只想检索该值在给定范围内的父项。
I tried to do it with aggs and post-filters but couldn't get it to work. 我尝试使用aggs和后置过滤器,但无法使其工作。
{
"apartments" : {
"mappings" : {
"apartment_availability" : {
"_parent" : {
"type" : "apartment"
},
"_routing" : {
"required" : true
},
"properties" : {
"availability_date" : {
"type" : "date"
},
"apartment_id" : {
"type" : "long"
},
"id" : {
"type" : "long"
},
"price_cents" : {
"type" : "long"
},
"status" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
}
}
},
"apartment" : {
"properties" : {
"id" : {
"type" : "long"
},
}
}
}
}
}
If oru users select a period of March 24th-March 31st and a price range of €150-€300, then we want to show them all apartments that are free in that period and whose average price for that period is in the €150-€300 range. 如果oru用户选择3月24日至3月31日的期间和150至300欧元的价格范围,那么我们希望向他们展示在此期间免费的所有公寓,其平均价格为150欧元 - €300范围。
Here's what we have so far: 这是我们到目前为止所拥有的:
{
"query": {
"bool": {
"filter": {
"bool": {
"must": [{
"has_child": {
"type": "apartment_availability",
"min_children": 8,
"max_children": 8,
"query": {
"bool": {
"must": [{
"term": {
"status": "available"
}
}, {
"range": {
"availability_date": {
"gte": "2017-03-24",
"lte": "2017-03-31"
}
}
}]
}
}
}
}]
}
}
}
}
}
My suggestion, using bucket_selector
aggregation to choose between apartments: 我的建议是,使用
bucket_selector
聚合在公寓之间进行选择:
GET /apartments/apartment/_search
{
"query": {
"bool": {
"filter": {
"bool": {
"must": [
{
"has_child": {
"type": "apartment_availability",
"query": {
"bool": {
"must": [
{
"term": {
"status": "available"
}
},
{
"range": {
"availability_date": {
"gte": "2017-04-01",
"lte": "2017-04-03"
}
}
}
]
}
}
}
}
]
}
}
}
},
"aggs": {
"apartments_ids": {
"terms": {
"field": "id",
"size": 10
},
"aggs": {
"avails": {
"children": {
"type": "apartment_availability"
},
"aggs": {
"filter_avails": {
"filter": {
"bool": {
"must": [
{
"term": {
"status": "available"
}
},
{
"range": {
"availability_date": {
"gte": "2017-04-01",
"lte": "2017-04-03"
}
}
}
]
}
},
"aggs": {
"average": {
"avg": {
"field": "price_cents"
}
}
}
}
}
},
"avg_bucket_filter": {
"bucket_selector": {
"buckets_path": {
"avg": "avails>filter_avails.average"
},
"script": "params.avg > 150 && params.avg < 300"
}
}
}
}
}
}
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