I have this query with some nested aggregations
*{*
* "aggs": {*
* "by_date": {*
* "date_histogram": {*
* "field": "timestamp",*
* "interval": "day"*
* },*
* "aggs": {*
* "new_users": {*
* "filter": {*
* "query": {*
* "match": {*
* "action": "USER_ADD"*
* }*
* }*
* },*
* "aggs": {*
* "unique_users": {*
* "cardinality": {*
* "field": "user"*
* }*
* }*
* }*
* }*
* }*
* }*
* },*
* "size": 0*
*}*
It yields results that look like this
*"aggregations": {*
* "by_date": {*
* "buckets": [*
* {*
* "key_as_string": "1970-01-07T00:00:00.000Z",*
* "key": 518400000,*
* "doc_count": 210,*
* "new_users": {*
* "doc_count": 0,*
* "unique_users": {*
* "value": 0*
* }*
* }*
* },*
* {*
* "key_as_string": "1970-01-09T00:00:00.000Z",*
* "key": 691200000,*
* "doc_count": 6,*
* "new_users": {*
* "doc_count": 0,*
* "unique_users": {*
* "value": 0*
* }*
* }*
* },*
* ......*
What I want to happen is apply min_doc_count on the most nested
sub-aggregation such that I don't see zero values for "unique_users" (in
this case) returned.
The issue is that min_doc_count can't be applied to my query other than the
date_histogram at the top level.
Does the ES query language support something like this? Any know
workarounds?
Thanks,
George
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