Elasticsearch - Limit docs count used for sum aggregation -

i know it's not supposed work way, there way force sum aggregations limit sum based on size set in query?

like in query:

{     "size" : 10,     "query":{         "filtered":{             "query":{                 "match_all":{}             },             "filter": {                 // filter                  }         }     },     "aggs": {         "value" : {             "sum" :{                 "field":"value"             }          }     } } 

if have 100 docs, i'd retrieve 10 docs , sum of these 10 docs.

in nutshell: need select sum(value) table limit 10, regardless score.

do guys know if can es?

the limit filter seems want. here simple example.

i set simple index , gave docs:

put /test_index {    "settings": {       "number_of_shards": 1    } }  post /test_index/doc/_bulk {"index":{"_id":1}} {"name":"a a", "val": 1} {"index":{"_id":2}} {"name":"a b", "val": 2} {"index":{"_id":3}} {"name":"a c", "val": 3} {"index":{"_id":4}} {"name":"b a", "val": 4} {"index":{"_id":5}} {"name":"b b", "val": 5} {"index":{"_id":6}} {"name":"b c", "val": 6} 

then can sum of "val" field of first 2 documents "name" containing term "a", follows:

post /test_index/_search {    "query": {       "filtered": {          "query": {             "term": {                "name": {                   "value": "b"                }             }          },          "filter": {             "limit": {                "value": 2             }          }       }    },    "aggs": {       "val_sum": {          "sum": {             "field": "val"          }       }    } } ... {    "took": 2,    "timed_out": false,    "_shards": {       "total": 1,       "successful": 1,       "failed": 0    },    "hits": {       "total": 2,       "max_score": 0.73895097,       "hits": [          {             "_index": "test_index",             "_type": "doc",             "_id": "2",             "_score": 0.73895097,             "_source": {                "name": "a b",                "val": 2             }          },          {             "_index": "test_index",             "_type": "doc",             "_id": "4",             "_score": 0.73895097,             "_source": {                "name": "b a",                "val": 4             }          }       ]    },    "aggregations": {       "val_sum": {          "value": 6,          "value_as_string": "6.0"       }    } } 

here code used:

http://sense.qbox.io/gist/6be3fc75db339fa3810521dbcb61429cd885d1bf