The only close thing that I've found was: Multiple group-by in Elasticsearch
Basically I'm trying to get the ES equivalent of the following MySql query:
select gender, age_range, count(distinct profile_id) as count
FROM TABLE group by age_range, gender
The age and gender by themselves were easy to get:
{
"query": {
"match_all": {}
},
"facets": {
"ages": {
"terms": {
"field": "age_range",
"size": 20
}
},
"gender_by_age": {
"terms": {
"fields": [
"age_range",
"gender"
]
}
}
},
"size": 0
}
which gives:
{
"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",
"missing": 0,
"total": 193961,
"other": 0,
"terms": [
{
"term": 1,
"count": 94799
},
{
"term": 2,
"count": 62645
},
{
"term": 0,
"count": 36517
}
]
}
}
But now I need something that looks like this:
[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
)
)
Please note that 0,1,2,3,4,5,6 are "mappings" for the age ranges so they actually mean something :) and not just numbers. e.g. Gender[1] (which is "male") breaks down into age range [0] (which is "under 18") with a count of 246.
As you only have 2 fields a simple way is doing two queries with single facets. For Male:
{
"query" : {
"term" : { "gender" : "Male" }
},
"facets" : {
"age_range" : {
"terms" : {
"field" : "age_range"
}
}
}
}
And for female:
{
"query" : {
"term" : { "gender" : "Female" }
},
"facets" : {
"age_range" : {
"terms" : {
"field" : "age_range"
}
}
}
}
Or you can do it in a single query with a facet filter (see this link for further information)
{
"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"
}
}
}
}
}
Update:
As facets are about to be removed. This is the solution with aggregations:
{
"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"
}
}
}
}
}
}
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