Filter nested objects in elasticsearch query based on query -

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i have doc multiple nested documents. nested queries work fine still return nested objects (i.e. whole document) though search query match few nested objects. filter documents whole.

here example:

put /demo {   "mappings": {     "company": {       "properties": {         "employees": {           "type": "nested"         }       }     }   } }  put /demo/company/1 {   "id": 1,   "name": "google",   "emp_count": 3,   "employees": [{     "id": 1,     "name": "john",     "address": {       "city": "mountain view",       "state": "california",       "country": "united states"     }   }] }  put /demo/company/2 {   "id": 1,   "name": "facebook",   "emp_count": 3,   "employees": [{     "id": 1,     "name": "amber",     "address": {       "city": "bangalore",       "state": "karnataka",       "country": "india"     }   }, {     "id": 1,     "name": "adrian",     "address": {       "city": "palo alto",       "state": "california",       "country": "united states"     }   }] }  put /demo/company/3 {   "id": 1,   "name": "microsoft",   "emp_count": 3,   "employees": [{     "id": 1,     "name": "aman",     "address": {       "city": "new york",       "state": "new york",       "country": "united states"     }   }] }

when searching india in address, should ideally facebook 1 nested object, nested objects. how can filter nested objects returned?

example query: 

{   "query": {     "function_score":{       "query":{         "nested":{          "path":"employees",          "score_mode":"max",          "query": {             "multi_match":{               "query":"india",               "type":"cross_fields",               "fields":[                 "employees.address.city",                 "employees.address.country",                 "employees.address.state"               ]             }           }         }       }     }   } }

output of query facebook employees while want amber.

you can use inner_hits obtain desired result.use below query:

get /demo/company/_search { "query" : {     "nested" : {         "path" : "employees",         "query" : {             "match" : {"employees.address.country" : "india"}         },         "inner_hits" : {}      }   } }

output be:

"hits": {   "total": 1,   "max_score": 1.4054651,   "hits": [      {         "_index": "demo",         "_type": "company",         "_id": "2",         "_score": 1.4054651,         "_source": {            "id": 1,            "name": "facebook",            "emp_count": 3,            "employees": [               {                  "id": 1,                  "name": "amber",                  "address": {                     "city": "bangalore",                     "state": "karnataka",                     "country": "india"                  }               },               {                  "id": 1,                  "name": "adrian",                  "address": {                     "city": "palo alto",                     "state": "california",                     "country": "united states"                  }               }            ]         },         "inner_hits": {            "employees": {               "hits": {                  "total": 1,                  "max_score": 1.4054651,                  "hits": [                     {                        "_index": "demo",                        "_type": "company",                        "_id": "2",                        "_nested": {                           "field": "employees",                           "offset": 0                        },                        "_score": 1.4054651,                        "_source": {                           "id": 1,                           "name": "amber",                           "address": {                              "city": "bangalore",                              "state": "karnataka",                              "country": "india"                           }                        }                     }                  ]               }            }         }      }     ]   }

you can see, inner_hits section has employees match criteria. inner_hits introduced in elasticsearch 1.5.0. version should greater elasticsearch 1.5.0. can refer here more information.


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