I am using aggregation to give me some reports of items (count) aggregated
by various properties (location or market (or both)).
I am using a term aggregator.
A simplified example of my data looks like this:
{
"intentLocationCode": "SHANG",
"intentLocationDescription": "Shanghai area",
"intentMarketDescription": "China Stainless Steel Exchange",
"intentMarketCode": "CSSX",
}
Lets say I want to aggregate by Intent Location:
My aggregation looks like this
{
"aggregations" : {
"intentLocations" : {
"terms" : { "field" : "intentLocationCode" }
}
}
}
And the result looks something like this:
{
"aggregations": {
"intentLocations": {
"buckets": [
{
"key": "shang",
"doc_count": 12
},
{
"key": "anotherlocation",
"doc_count": 8760
},
{
"key": "loc42",
"doc_count": 4773
},
{
"key": "area51",
"doc_count": 821
}
]
}
}
}
However, in the results I would like something like:
{
"aggregations": {
"intentLocations": {
"buckets": [
{
"key": "Shanghai area",
"doc_count": 12
},
{
"key": "Another Location Where Copper Is Stored",
"doc_count": 8760
},
{
"key": "The 42nd Stainless Steel Storage Company",
"doc_count": 4773
},
{
"key": "Area 51",
"doc_count": 821
}
]
}
}
}
ie I really want to the value of the intentLocationDescription field as the
key rather than the code. But obviously, doing a term aggregation on
description is going to give me very different results (unless I index
description with not_analyzed)
However, I do want to analyse intentLocationDescription for decent search
behaviour.
Is there a trick to achieve this with aggregations?
Or do I have to index intentLocationDescriptionTwice (analysed and not
analysed)?
(I don't really want to be doing any post-processing to match code and
description - because that would involve a reference data lookup that will
kill performance)
Cheers.
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