问题描述
由于您只有2个字段,因此一种简单的方法是使用一个方面进行两个查询。对于男性:
{
"query" : {
"term" : { "gender" : "Male" }
},
"facets" : {
"age_range" : {
"terms" : {
"field" : "age_range"
}
}
}
}
对于女性:
{
"query" : {
"term" : { "gender" : "Female" }
},
"facets" : {
"age_range" : {
"terms" : {
"field" : "age_range"
}
}
}
}
或者,您也可以使用构面过滤器在单个查询中完成此操作(有关更多信息,请参见此链接)
{
"query" : {
"match_all": {}
},
"facets" : {
"age_range_male" : {
"terms" : {
"field" : "age_range"
},
"facet_filter":{
"term": {
"gender": "Male"
}
}
},
"age_range_female" : {
"terms" : {
"field" : "age_range"
},
"facet_filter":{
"term": {
"gender": "Female"
}
}
}
}
}
更新:
由于刻面即将被移除。这是聚合的解决方案:
{
"query": {
"match_all": {}
},
"aggs": {
"male": {
"filter": {
"term": {
"gender": "Male"
}
},
"aggs": {
"age_range": {
"terms": {
"field": "age_range"
}
}
}
},
"female": {
"filter": {
"term": {
"gender": "Female"
}
},
"aggs": {
"age_range": {
"terms": {
"field": "age_range"
}
}
}
}
}
}
解决方法
我发现的唯一接近的事情是:Elasticsearch中的多个分组方式
基本上,我试图获得与以下MySql
查询等效的ES :
select gender,age_range,count(distinct profile_id) as count
FROM TABLE group by age_range,gender
年龄和性别本身很容易获得:
{
"query": {
"match_all": {}
},"facets": {
"ages": {
"terms": {
"field": "age_range","size": 20
}
},"gender_by_age": {
"terms": {
"fields": [
"age_range","gender"
]
}
}
},"size": 0
}
这使:
{
"ages": {
"_type": "terms","missing": 0,"total": 193961,"other": 0,"terms": [
{
"term": 0,"count": 162643
},{
"term": 3,"count": 10683
},{
"term": 4,"count": 8931
},{
"term": 5,"count": 4690
},{
"term": 6,"count": 3647
},{
"term": 2,"count": 3247
},{
"term": 1,"count": 120
}
]
},"total_gender": {
"_type": "terms","terms": [
{
"term": 1,"count": 94799
},"count": 62645
},{
"term": 0,"count": 36517
}
]
}
}
但是现在我需要这样的东西:
[breakdown_gender] => Array
(
[1] => Array
(
[0] => 264
[1] => 1
[2] => 6
[3] => 67
[4] => 72
[5] => 40
[6] => 23
)
[2] => Array
(
[0] => 153
[2] => 2
[3] => 21
[4] => 35
[5] => 22
[6] => 11
)
)
请注意,这0,1,2,3,4,5,6
是针对年龄范围的“映射”,因此它们实际上表示的是:)而不是数字。例如,性别[1](“男性”)细分为[246]的年龄范围[0](“18岁以下”)。