aggregation elastic search query with sum - elasticsearch

Question

This is my current data. i want an aggregate query to return variantId sum of quantity based on type in/out.
hits: {
total: {
value: 5,
relation: "eq",
},
max_score: 1,
hits: [
{
_index: "transactions",
_type: "_doc",
_id: "out2391",
_score: 1,
_source: {
date: "2021-03-08",
transactionId: 2391,
brandId: 1112,
outletId: 121222,
variantId: 1321,
qty: 1,
closing: 10,
type: "out",
}
],
},
I want result that returns sum of quantity for type in/out for variants
[{
variantId: 1321,
in: sum(qty),
out: sum(qty)
},
{
variantId: 13211,
in: sum(qty),
out: sum(qty)
}
]

Answer 1

Ingest test documents
POST test_shaheer/_doc
{
"date": "2021-03-08",
"transactionId": 2391,
"brandId": 1112,
"outletId": 121222,
"variantId": 1321,
"qty": 1,
"closing": 10,
"type": "out"
}
POST test_shaheer/_doc
{
"date": "2021-03-08",
"transactionId": 2391,
"brandId": 1112,
"outletId": 121222,
"variantId": 1321,
"qty": 1,
"closing": 10,
"type": "out"
}
POST test_shaheer/_doc
{
"date": "2021-03-08",
"transactionId": 2391,
"brandId": 1112,
"outletId": 121222,
"variantId": 1321,
"qty": 5,
"closing": 10,
"type": "in"
}
POST test_shaheer/_doc
{
"date": "2021-03-08",
"transactionId": 2391,
"brandId": 1112,
"outletId": 121222,
"variantId": 1321,
"qty": 2,
"closing": 10,
"type": "in"
}
To achieve what you need you have nest aggregations , first you group by variantId, then each variantId by type, and finally you do a sum on the qty field inside each type.
Query
POST test_shaheer/_search
{
"size": 0,
"aggs": {
"variant_ids": {
"terms": {
"field": "variantId",
"size": 10
},
"aggs": {
"types": {
"terms": {
"field": "type.keyword",
"size": 10
},
"aggs": {
"qty_sum": {
"sum": {
"field": "qty"
}
}
}
}
}
}
}
}
Note size 0 to not show results.
Response
{
"took" : 2,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 4,
"relation" : "eq"
},
"max_score" : null,
"hits" : [ ]
},
"aggregations" : {
"variant_ids" : {
"doc_count_error_upper_bound" : 0,
"sum_other_doc_count" : 0,
"buckets" : [
{
"key" : 1321,
"doc_count" : 4,
"types" : {
"doc_count_error_upper_bound" : 0,
"sum_other_doc_count" : 0,
"buckets" : [
{
"key" : "in",
"doc_count" : 2,
"qty_sum" : {
"value" : 7.0
}
},
{
"key" : "out",
"doc_count" : 2,
"qty_sum" : {
"value" : 2.0
}
}
]
}
}
]
}
}
}