OpenSearch / ElasticSearch index mappings - elasticsearch

Question

I have a system that ingests multiple scores for events and we use opensearch (previously elastic search) for getting the averages.
For example, an input would be similar to:
// event 1
{
id: "foo1",
timestamp: "some-iso8601-timestamp",
scores: [
{ name: "arbitrary-name-1", value: 80 },
{ name: "arbitrary-name-2", value: 55 },
{ name: "arbitrary-name-3", value: 30 },
]
}
// event 2
{
id: "foo2",
timestamp: "some-iso8601-timestamp",
scores: [
{ name: "arbitrary-name-1", value: 90 },
{ name: "arbitrary-name-2", value: 65 },
{ name: "arbitrary-name-3", value: 40 },
]
}
The score name are arbitrary and subject to change from time to time.
We ultimately would like to query the data to get the average scores values:
[
{ name: "arbitrary-name-1", value: 85 },
{ name: "arbitrary-name-2", value: 60 },
{ name: "arbitrary-name-3", value: 35 },
]
However, the only way we have been able to achieve this so far has been to insert multiple documents, one for each score name/value pair in each event. This seems wasteful. The search in place currently is to group the documents by score name and timestamp intervals, then to perform a weighted average of the scores in each bucket.
Is there a way the data can be inserted to allow this query pattern to take place by only adding one document into opensearch per event/record (rather than one document per score per event/record)? How might that look?
Thanks!

Answer 1

Is it what you were trying to do ?
I got a bit confused. ^^
DELETE /71397606
PUT /71397606
{
"mappings": {
"properties": {
"id": {
"type": "text"
},
"scores": {
"type": "nested",
"properties": {
"name": {
"type": "keyword"
},
"value": {
"type": "long"
}
}
},
"timestamp": {
"type": "text"
}
}
}
}
POST /_bulk
{"index":{"_index":"71397606"}}
{"id":"foo1","timestamp":"some-iso8601-timestamp","scores":[{"name":"arbitrary-name-1","value":80},{"name":"arbitrary-name-2","value":55},{"name":"arbitrary-name-3","value":30}]}
{"index":{"_index":"71397606"}}
{"id":"foo2","timestamp":"some-iso8601-timestamp","scores":[{"name":"arbitrary-name-1","value":90},{"name":"arbitrary-name-2","value":65},{"name":"arbitrary-name-3","value":40}]}
{"index":{"_index":"71397606"}}
{"id":"foo2","timestamp":"some-iso8601-timestamp","scores":[{"name":"arbitrary-name-1","value":85},{"name":"arbitrary-name-x","value":65},{"name":"arbitrary-name-y","value":40}]}
GET /71397606/_search
{
"size": 0,
"query": {
"match_all": {}
},
"aggs": {
"nested": {
"nested": {
"path": "scores"
},
"aggs": {
"pername": {
"terms": {
"field": "scores.name",
"size": 10
},
"aggs": {
"avg": {
"avg": {
"field": "scores.value"
}
}
}
}
}
}
}
}
ps:
If not could you give an example ?