elasticsearch terms and sum aggregation
17,258
You will probably need to make sure that your "gender"
property has type "nested"
. With that, I was able to make the following do what I think you're asking.
First I set up a simple index:
PUT /test_index
{
"mappings": {
"doc": {
"properties": {
"gender": {
"type": "nested",
"properties": {
"name": {
"type": "string"
},
"value": {
"type": "long"
}
}
}
}
}
}
}
Then added a couple of docs:
PUT /test_index/doc/1
{
"gender": [
{
"name": "unknown",
"value": 12
},
{
"name": "male",
"value": 89
},
{
"name": "female",
"value": 84
}
]
}
PUT /test_index/doc/2
{
"gender": [
{
"name": "male",
"value": 8
},
{
"name": "female",
"value": 4
}
]
}
Then I was able to get total counts by gender name as follows:
POST /test_index/_search?search_type=count
{
"aggs": {
"genders": {
"nested": {
"path": "gender"
},
"aggs": {
"gender_terms": {
"terms": {
"field": "gender.name"
},
"aggs": {
"gender_name_value_sums": {
"sum": {
"field": "gender.value"
}
}
}
}
}
}
}
}
...
{
"took": 1,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"failed": 0
},
"hits": {
"total": 2,
"max_score": 0,
"hits": []
},
"aggregations": {
"genders": {
"doc_count": 5,
"gender_terms": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "female",
"doc_count": 2,
"gender_name_value_sums": {
"value": 88,
"value_as_string": "88.0"
}
},
{
"key": "male",
"doc_count": 2,
"gender_name_value_sums": {
"value": 97,
"value_as_string": "97.0"
}
},
{
"key": "unknown",
"doc_count": 1,
"gender_name_value_sums": {
"value": 12,
"value_as_string": "12.0"
}
}
]
}
}
}
}
Here is the code I used to test it:
http://sense.qbox.io/gist/d4533215806b858aa2cc1565546d167fdec3c973
Author by
Udy
Updated on June 28, 2022Comments
-
Udy almost 2 years
I have documents in elasticsearch (1.5) that looks like:
{ "gender": [ { "name": "unknown", "value": 12 }, { "name": "male", "value": 89 }, { "name": "female", "value": 84 } ] }
- not all of the documents contains the three options (male/female/unknown)
i would like to get the sum of all values per each gender name. like that:
{ "buckets": [ { "key": "unknown", "doc_count": 112, "gender_a": { "value": 462 } }, { "key": "male", "doc_count": 107, "gender_a": { "value": 438 } }, { "key": "female", "doc_count": 36, "gender_a": { "value": 186 } } ] }
i tried this query:
{ "aggs": { "gender_name": { "terms": { "field": "gender.name" }, "aggs": { "gender_sum": { "sum": { "field": "gender.value" } } } } } }
but something weird is going on, and i don't get the right values.
any idea what i am missing ?
-
Udy almost 9 yearsCan you please explain why I need it to be nested? Is it the only option? Or maybe where can I find documentation about this? Thanks!
-
Sloan Ahrens almost 9 yearsElasticsearch has to have a way to group the documents. Here is a decent explanation of when to use the nested type. Your other option is the parent/child relationship, though this probably wouldn't be the best use-case.