Hi, there.
I have a problem with nested documents aggregation. The problem is next.
Imagine that we have index full of next simple documents
{name: "aaa",
count: 3,
companyEmotions: [{
emotion: 1,
company: "foo"
}, {
emotion: 2,
company: "bar"
}]
}
{name: "bbb",
count: 10,
companyEmotions: [{
emotion: 2,
company: "foo"
}, {
emotion: 2,
company: "bar"
}]
}
and we want to receive sum aggregation of "count" field grouped by emotion
for some company. Speaking by our example with two documents we want to get
answer for the question: "what is the sum of "count" for documents where
foo company emotion is 1, is 2.
Result buckets should be something like that:
"buckets" : [ {
"key" : 1, // This is our emotion
"doc_count" : 1,
"someAggrName" : {
"value" : 3.0 // sum of all counts.
}
}, {
"key" : 2,
"doc_count" : 1,
"emotionAggr4" : {
"value" : 10.0
}
} ]
And here is the mapping which I'm using.
{
"emotion" : {
"properties" : {
"name" : {"type" : "string", "index" : "not_analyzed" },
"count" : {"type" : "integer" },
"companyEmotions" : {
"type" : "nested",
"_parent": {
"type": "emotion"
},
"properties": {
"company" : {"type" : "string", "index" :
"not_analyzed" },
"emotion" : { "type" : "integer" }
}
}
}
}
}
I have experimented a lot with next aggregation request, and can't find the
way how to refer to the "count" field. I have tried _parent.count,
_doc["_parent.count"].value, etc. Most of the time, if some error is not
happen, sum is 0. Ho to correctly refer to the parent "count" field in
script?
Or maybe problem in the mapping or something?
curl -XPOST "http://localhost:9200/emotions/emotion/_search?pretty=true"; -d
'{
"aggregations": {
"emotionAggr": {
"nested": {
"path": "companyEmotions"
},
"aggregations": {
"emotionAggr2": {
"filter": {
"term": {"companyEmotions.company": "foo"}
},
"aggregations": {
"emotionAggr3": {
"terms": {
"field": "companyEmotions.emotion"
},
"aggregations": {
"emotionAggr4": {
"sum": {"script":
"doc[\"count\"].value"} // How to reffer _parent.count here?
}
}
}
}
}
}
}
}
}'
Thanks for helping.
P. S.
If you want to experiment here is the list of commands which you can
execute to create an index full of documents.
https://gist.github.com/vchimishuk/2c324e2be71c23b7f4c7
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