Reputation: 652
Using Elasticsearch 7.9.0
My document looks like this
{
"student": {
"marks": [
{
"sub": 80
},
{
"sub": 90
},
{
"sub": 100
}
]
}
}
I need one more field total_marks
in the response of GET
API
Something like this
{
"hits": [
{
"_index": "abc",
"_type": "_doc",
"_id": "blabla",
"_score": null,
"_source": {
"student": {
"marks": [
{
"sub": 80
},
{
"sub": 90
},
{
"sub": 100
}
]
}
},
"total_marks": 270
}
]
}
I tried using script_fields
My query is
GET sample/_search
{
"query": {
"match_all": {}
},
"script_fields": {
"total_marks": {
"script": {
"source": """double sum = 0.0;
for( item in params._source.student.marks)
{ sum = sum + item.sub }
return sum;"""
}
}
}
}
I got response as
{
"hits": [
{
"_index": "abc",
"_type": "_doc",
"_id": "blabla",
"_score": null,
"_source": {
"student": {
"marks": [
{
"sub": 80
},
{
"sub": 90
},
{
"sub": 100
}
]
}
},
"fields": {
"total_marks": [
270
]
}
}
]
}
Is thare any way to get as expected?
Any better/optimal solution would be helps a lot.
Thank you.
Upvotes: 0
Views: 849
Reputation: 9099
Terms aggregation and sum aggregation can be used to find total marks per group
{
"aggs": {
"students": {
"terms": {
"field": "student.id.keyword",
"size": 10
},
"aggs": {
"total_marks": {
"sum": {
"field": "student.marks.sub"
}
}
}
}
}
}
Result
"aggregations" : {
"students" : {
"doc_count_error_upper_bound" : 0,
"sum_other_doc_count" : 0,
"buckets" : [
{
"key" : "1",
"doc_count" : 1,
"total_marks" : {
"value" : 270.0
}
}
]
}
}
This will be faster than script but Pagination will be easier in query as compared to aggregation. So choose accordingly.
Best option may be to have it calculated at index time. If those fields are not changing frequently.
Upvotes: 1