In elasticsearch, how to group by value inside nested array -


say, have following documents:

1st doc:

{   productname: "product1",   tags: [     {       "name":"key1",       "value":"value1"     },     {       "name":"key2",       "value":"value2"     }   ] }

2nd doc:

{   productname: "product2",   tags: [     {       "name":"key1",       "value":"value1"     },     {       "name":"key2",       "value":"value3"     }   ] }

i know if want group productname, use terms aggregation

"terms": {     "field": "productname" }

which give me 2 buckets 2 different keys "product1", "product2".

however, should query if group tag key? i.e. group tag name==key1, expecting 1 bucket key="value1"; while if group tag name==key2, expecting result 2 buckets keys "value2", "value3".

what should query if group 'value' inside nested array not group 'key'? suggestion?

it sounds nested terms aggregation you're looking for.

with 2 documents posted, query:

post /test_index/_search {    "size": 0,    "aggs": {       "product_name_terms": {          "terms": {             "field": "product_name"          }       },       "nested_tags": {          "nested": {             "path": "tags"          },          "aggs": {             "tags_name_terms": {                "terms": {                   "field": "tags.name"                }             },             "tags_value_terms": {                "terms": {                   "field": "tags.value"                }             }          }       }    } }

returns this:

{    "took": 67,    "timed_out": false,    "_shards": {       "total": 5,       "successful": 5,       "failed": 0    },    "hits": {       "total": 2,       "max_score": 0,       "hits": []    },    "aggregations": {       "product_name_terms": {          "doc_count_error_upper_bound": 0,          "sum_other_doc_count": 0,          "buckets": []       },       "nested_tags": {          "doc_count": 4,          "tags_name_terms": {             "doc_count_error_upper_bound": 0,             "sum_other_doc_count": 0,             "buckets": [                {                   "key": "key1",                   "doc_count": 2                },                {                   "key": "key2",                   "doc_count": 2                }             ]          },          "tags_value_terms": {             "doc_count_error_upper_bound": 0,             "sum_other_doc_count": 0,             "buckets": [                {                   "key": "value1",                   "doc_count": 2                },                {                   "key": "value2",                   "doc_count": 1                },                {                   "key": "value3",                   "doc_count": 1                }             ]          }       }    } }

here code used test it:

http://sense.qbox.io/gist/a9a172f41dbd520d5e61063a9686055681110522

edit: filter nested value

as per comment, if want filter nested results value (of nested results), can add "layer" of aggregation making use of filter aggregation follows:

post /test_index/_search {    "size": 0,    "aggs": {       "nested_tags": {          "nested": {             "path": "tags"          },          "aggs": {             "filter_tag_name": {                "filter": {                   "term": {                      "tags.name": "key1"                   }                },                "aggs": {                   "tags_name_terms": {                      "terms": {                         "field": "tags.name"                      }                   },                   "tags_value_terms": {                      "terms": {                         "field": "tags.value"                      }                   }                }             }          }       }    } }

which returns:

{    "took": 10,    "timed_out": false,    "_shards": {       "total": 5,       "successful": 5,       "failed": 0    },    "hits": {       "total": 2,       "max_score": 0,       "hits": []    },    "aggregations": {       "nested_tags": {          "doc_count": 4,          "filter_tag_name": {             "doc_count": 2,             "tags_name_terms": {                "doc_count_error_upper_bound": 0,                "sum_other_doc_count": 0,                "buckets": [                   {                      "key": "key1",                      "doc_count": 2                   }                ]             },             "tags_value_terms": {                "doc_count_error_upper_bound": 0,                "sum_other_doc_count": 0,                "buckets": [                   {                      "key": "value1",                      "doc_count": 2                   }                ]             }          }       }    } }

here's updated code:

http://sense.qbox.io/gist/507c3aabf36b8f6ed8bb076c8c1b8552097c5458


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