Get count of particular field in a document using Elasticsearch - elasticsearch

Question

Requirement:
I want to find the count of aID for a particular category ID.
(i.e for categoryID 2532 i want the count as 2 that means it is assigned to two aID's).
I tried with aggregations but with that i can able to get only the doc count rather than field count.
Mappings
"List": {
"properties": {
"aId": {
"type": "long"
},
"CategoryList": {
"properties": {
"categoryId": {
"type": "long"
},
"categoryName": {
"type": "string"
}
}
}
}
}
Sample Document:
"List": [
{
"aId": 33074,
"CategoryList": [
{
"categoryId": 2532,
"categoryName": "VODAFONE"
}
]
},
{
"aId": 12074,
"CategoryList": [
{
"categoryId": 2532,
"categoryName": "VODAFONE"
}
]
},
{
"aId": 120755,
"CategoryList": [
{
"categoryId": 1234,
"categoryName": "SMPLKE"
}
]
}
]

Answer 1

using cardinality aggregation will not help you getting the desired results. Cardinality aggregation returns the count of distinct values for the field, where are you want to find the count of appearance for number of times for a field.
You can use the following query, Here you can first filter the document for CategoryList.categoryId and then run a simple terms aggregation on this field
POST index_name1111/_search
{
"query": {
"bool": {
"must": [{
"term": {
"CategoryList.categoryId": {
"value": 2532
}
}
}]
}
},
"aggs": {
"count_is": {
"terms": {
"field": "CategoryList.categoryId",
"size": 10
}
}
}
}
Response of above query -
{
"took": 3,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 2,
"max_score": 0,
"hits": []
},
"aggregations": {
"count_is": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": 2532,
"doc_count": 2
}
]
}
}
}
Or you can also chuck away the filter and running the aggregation only will return you all categoryId with their count of appearance.
POST index_name1111/_search
{
size: 0,
"aggs": {
"count_is": {
"terms": {
"field": "CategoryList.categoryId",
"size": 10
}
}
}
}
Response of above query
{
"took": 2,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 3,
"max_score": 0,
"hits": []
},
"aggregations": {
"count_is": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": 2532,
"doc_count": 2
},
{
"key": 1234,
"doc_count": 1
}
]
}
}
}
Using cardinality aggregation you will get the following response with following query
POST index_name1111/_search
{
"size": 0,
"query": {
"bool": {
"must": [{
"term": {
"CategoryList.categoryId": {
"value": 2532
}
}
}]
}
},
"aggs": {
"id_count": {
"cardinality": {
"field": "CategoryList.categoryId"
}
}
}
}
Response of above query which doesn't give you desired result, since two documents matched both with categoryId as 252 so count of distinct is 1.
{
"took": 4,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 2,
"max_score": 0,
"hits": []
},
"aggregations": {
"id_count": {
"value": 1
}
}
}
Hope this helps
Thanks