Elasticsearch summing buckets - elasticsearch

Question

I have the following request which will return the count of all documents with a status of either "Accepted","Released" or closed.
{
"size": 0,
"query": {
"bool": {
"must": [
{
"query_string": {
"query": "*",
"analyze_wildcard": true
}
}
],
"must_not": []
}
},
"aggs": {
"slices": {
"terms": {
"field": "status.raw",
"include": {
"pattern": "Accepted|Released|Closed"
}
}
}
}
}
In my case the response is:
"buckets": [
{
"key": "Closed",
"doc_count": 2216
},
{
"key": "Accepted",
"doc_count": 8
},
{
"key": "Released",
"doc_count": 6
}
]
Now I'd like to add all of them up into a single field.
I tried using pipeline aggregations and even tried the following sum_bucket (which apparently only works on multi-bucket):
"total":{
"sum_bucket":{
"buckets_path": "slices"
}
}
Anyone able to help me out with this?

Answer 1

With sum_bucket and your already existent aggregation:
"aggs": {
"slices": {
"terms": {
"field": "status.raw",
"include": {
"pattern": "Accepted|Released|Closed"
}
}
},
"sum_total": {
"sum_bucket": {
"buckets_path": "slices._count"
}
}
}

Answer 2

What I would do is to use the filters aggregation instead and define all the buckets you need, like this:
{
"size": 0,
"query": {
"bool": {
"must": [
{
"query_string": {
"query": "*",
"analyze_wildcard": true
}
}
],
"must_not": []
}
},
"aggs": {
"slices": {
"filters": {
"filters": {
"accepted": {
"term": {
"status.raw": "Accepted"
}
},
"released": {
"term": {
"status.raw": "Released"
}
},
"closed": {
"term": {
"status.raw": "Closed"
}
},
"total": {
"terms": {
"status.raw": [
"Accepted",
"Released",
"Closed"
]
}
}
}
}
}
}
}

Answer 3

You could add count with value_count sub aggregation and then use sum_bucket pipeline aggregation
{
"aggs": {
"unique_status": {
"terms": {
"field": "status.raw",
"include": "Accepted|Released|Closed"
},
"aggs": {
"count": {
"value_count": {
"field": "status.raw"
}
}
}
},
"sum_status": {
"sum_bucket": {
"buckets_path": "unique_status>count"
}
}
},
"size": 0
}