i need to perform an exclusion of some key in a composite aggregation. here is one document of my index as an example :
{
"end_date": 1230314400000,
"parameter_codes": [28, 35, 30],
"platform_code": "41012",
"start_date": 1230314400000,
"station_id": 7833246
}
I perform a search request allowing me to : get a result for each platform_code/parameter_codes couple, plus getting the station_id correspounding plus a paging on the bucket.
here is the request :
{
"size": 0,
"query": {
"match_all": {
"boost": 1.0
}
},
"_source": false,
"aggregations": {
"compositeAgg": {
"composite": {
"size": 10,
"sources": [{
"platform_code": {
"terms": {
"field": "platform_code",
"missing_bucket": false,
"order": "asc"
}
}
}, {
"parameter_codes": {
"terms": {
"field": "parameter_codes",
"missing_bucket": false,
"order": "asc"
}
}
}]
},
"aggregations": {
"aggstation_id": {
"terms": {
"field": "station_id",
"size": 2147483647,
"min_doc_count": 1,
"shard_min_doc_count": 0,
"show_term_doc_count_error": false,
"order": {
"_key": "asc"
}
}
},
"pipe": {
"bucket_sort": {
"sort": [{
"_key": {
"order": "asc"
}
}],
"from": 0,
"size": 10,
"gap_policy": "SKIP"
}
}
}
}
}
}
this request give me the following results :
{
"took": 3,
"timed_out": false,
"_shards": {
"total": 8,
"successful": 8,
"skipped": 0,
"failed": 0
},
"hits": {
"total": {
"value": 3,
"relation": "eq"
},
"max_score": null,
"hits": []
},
"aggregations": {
"composite#compositeAgg": {
"after_key": {
"platform_code": "41012",
"parameter_codes": 60
},
"buckets": [{
"key": {
"platform_code": "41012",
"parameter_codes": 28
},
"doc_count": 1,
"lterms#aggstation_id": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [{
"key": 7833246,
"doc_count": 1
}]
}
}, {
"key": {
"platform_code": "41012",
"parameter_codes": 30
},
"doc_count": 2,
"lterms#aggstation_id": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [{
"key": 7833246,
"doc_count": 1
}, {
"key": 12787501,
"doc_count": 1
}]
}
}, {
"key": {
"platform_code": "41012",
"parameter_codes": 35
},
"doc_count": 2,
"lterms#aggstation_id": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [{
"key": 7833246,
"doc_count": 1
}, {
"key": 12787501,
"doc_count": 1
}]
}
}]
}
}
}
this works very well but i need to exclude one or many parameter_code. For example by excluding '35', i want only the keys :
{
"platform_code": "41012",
"parameter_codes": 28
}
and
{
"platform_code": "41012",
"parameter_codes": 30
}
i tried, many options but can not succeed to perform this. Can anybody know how can i do that?
A script query can be used in composite source to return only specific values of array.
{
"size": 0,
"query": {
"match_all": {
"boost": 1
}
},
"_source": false,
"aggregations": {
"compositeAgg": {
"composite": {
"size": 10,
"sources": [
{
"platform_code": {
"terms": {
"field": "platform_code.keyword",
"missing_bucket": false,
"order": "asc"
}
}
},
{
"parameter_codes": {
"terms": {
"script": {
"source": """
def arr=[];
for (item in doc['parameter_codes']) {
if(item !=35)
{
arr.add(item);
}
}
return arr"""
}
}
}
}
]
},
"aggregations": {
"aggstation_id": {
"terms": {
"field": "station_id",
"size": 2147483647,
"min_doc_count": 1,
"shard_min_doc_count": 0,
"show_term_doc_count_error": false,
"order": {
"_key": "asc"
}
}
},
"pipe": {
"bucket_sort": {
"sort": [
{
"_key": {
"order": "asc"
}
}
],
"from": 0,
"size": 10,
"gap_policy": "SKIP"
}
}
}
}
}
}