I was only thinking loud. I mean that I don't know what your model looks like.
May be you could illustrate your use case with some actual data and we can move forward from here?
What kind of documents are you actually indexing and searching for? What fields do you have?
--
David Pilato | Technical Advocate | Elasticsearch.com
@dadoonet | @elasticsearchfr
Le 24 juin 2014 à 14:42:14, Thomas (thomas.bolis@gmail.com) a écrit:
Hi David
Thank you for your reply, so based on your suggestion I should maintain a document (e.g. user) with some aggregated values and I should update it as we move along with our indexing of our data, correct?
This though would only give me totals. I cannot apply something like a range. I found as well a similar discussion here https://groups.google.com/forum/#!msg/elasticsearch/UsrCG2Abj-A/IDO9DX_PoQwJ. Maybe something similar with the terms and histogram aggregation could support this logic like instead of giving :
{
"aggs" : {
"requests_distribution" : {
"distribution" : {
"field" : "user_id",
"interval" : 50
}
}
}
}
and the result could be:
{
"aggregations": {
"requests_distribution" : {
"buckets": [
{
"key": 0,
"doc_count": 2
},
{
"key": 50,
"doc_count": 400
},
{
"key": 150,
"doc_count": 30
}
]
}
}
}
Where the key represents a unique number of users like for 0 to 50 users have 2 documents per user etc.
Just an idea
Thanks
Thomas
On Tuesday, 24 June 2014 13:32:13 UTC+3, Thomas wrote:
Hi,
I wanted to ask whether it is possible to get with the aggregation framework the distribution of one specific type of documents sent per user, I'm interested for occurrences of documents per user, e.g. :
1000 users sent 1 document
500 ussers sent 2 documents
X number of unique users sent Y documents (each)
etc.
on each document i index the user_id
Is there a way to support such a query, or partially support it? get the first 10 rows of this type of list not the exhaustive list. Can you give me some hint?
Thanks
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