ElasticSearch - how to SUM function_score by field

I have a query that is using function_score to rank the results. Here is a
sample of what is returned:

{
"_index": "clone",
"_type": "authEvent",
"_id": "6431823",
"_score": 4.8,
"fields": {
"authInput.uID": "MPXWDKW2P",
"authResult.productValue": 1,
"authInput.userName": "F936F3AA-E26C-48DB-BDBC-44956B634260",
"authResult.authEventDate": "2014-02-27T09:29:30.703125-06:00",
"authResult.rulesFailed": [
"AuthCountByUser"
]
}
}

What I want to is take the results and run the equivalent of this SQL
statement:

SELECT TOP 20 "authInput.userName", SUM("_score")
FROM foo
GROUP BY "authInput.userName"
ORDER BY SUM("_score") DESC

How can I do this with ES?

NOTE: I'm using ES 0.9x, we will be moving to 1.0.0 soon but we have not
yet.

Thanks in advance!

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Unfortunately, subqueries are not supported. What you can do is dump the
results of your first query into an index. And then you can do a
terms_stats facet on that dump to get your final results:

http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/search-facets-terms-stats-facet.html

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Thanks for the response Binh. Is there a way to pipe the response from my
first query directly into a new index without round tripping the data back
to the server that requested the query?

On Mon, Mar 10, 2014 at 1:09 PM, Binh Ly binhly_es@yahoo.com wrote:

Unfortunately, subqueries are not supported. What you can do is dump the
results of your first query into an index. And then you can do a
terms_stats facet on that dump to get your final results:

Elasticsearch Platform — Find real-time answers at scale | Elastic

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