我正在使用Searchkick Gem和Elastic搜索，并尝试了解聚合行为。
我有三个方面（聚合）：城市，州和公司。
如果我按其中任何一个过滤，则减少其他两个的计数以反映结果集中的总数。但选定的方面会带回所有值。所以说我在索引中有100个项目，并且我在索引中有2个项目的公司进行过滤，城市和州计数更新以反映不超过2.但公司计数仍为100。
示例（过滤到City = Atlanta）
{
"query": {
"function_score": {
"functions": [
{
"filter": {
"and": [
{
"term": {
"featured": true
}
}
]
},
"boost_factor": 1000
}
],
"query": {
"match_all": {}
},
"score_mode": "sum"
}
},
"size": 20,
"from": 0,
"post_filter": {
"bool": {
"filter": [
{
"range": {
"expiration_date": {
"from": "2016-08-18T23:07:15.670-04:00",
"include_lower": true
}
}
},
{
"range": {
"created_at": {
"to": "2016-08-18T23:07:15.670-04:00",
"include_upper": true
}
}
},
{
"term": {
"published": true
}
},
{
"term": {
"tenant_id": 4
}
},
{
"term": {
"city": "Atlanta"
}
}
]
}
},
"aggs": {
"company": {
"filter": {
"bool": {
"must": [
{
"range": {
"expiration_date": {
"from": "2016-08-18T23:07:15.670-04:00",
"include_lower": true
}
}
},
{
"range": {
"created_at": {
"to": "2016-08-18T23:07:15.670-04:00",
"include_upper": true
}
}
},
{
"term": {
"published": true
}
},
{
"term": {
"tenant_id": 4
}
},
{
"term": {
"city": "Atlanta"
}
}
]
}
},
"aggs": {
"company": {
"terms": {
"field": "company",
"size": 10
}
}
}
},
"city": {
"filter": {
"bool": {
"must": [
{
"range": {
"expiration_date": {
"from": "2016-08-18T23:07:15.670-04:00",
"include_lower": true
}
}
},
{
"range": {
"created_at": {
"to": "2016-08-18T23:07:15.670-04:00",
"include_upper": true
}
}
},
{
"term": {
"published": true
}
},
{
"term": {
"tenant_id": 4
}
}
]
}
},
"aggs": {
"city": {
"terms": {
"field": "city",
"size": 10
}
}
}
},
"state": {
"filter": {
"bool": {
"must": [
{
"range": {
"expiration_date": {
"from": "2016-08-18T23:07:15.670-04:00",
"include_lower": true
}
}
},
{
"range": {
"created_at": {
"to": "2016-08-18T23:07:15.670-04:00",
"include_upper": true
}
}
},
{
"term": {
"published": true
}
},
{
"term": {
"tenant_id": 4
}
},
{
"term": {
"city": "Atlanta"
}
}
]
}
},
"aggs": {
"state": {
"terms": {
"field": "state",
"size": 10
}
}
}
}
},
"fields": []
}
结果（返回了2个结果，但58个城市聚合回来了）。注意公司和城市返回正确的聚合数量：
{
"took": 114,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 2,
"max_score": 1,
"hits": [
{
"_index": "jobs_development_20160818140128648",
"_type": "job",
"_id": "457134",
"_score": 1
},
{
"_index": "jobs_development_20160818140128648",
"_type": "job",
"_id": "457137",
"_score": 1
}
]
},
"aggregations": {
"city": {
"doc_count": 58,
"city": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 19,
"buckets": [
{
"key": "Los Angeles",
"doc_count": 8
},
{
"key": "London",
"doc_count": 7
},
{
"key": "New York",
"doc_count": 7
},
{
"key": "Burbank",
"doc_count": 5
},
{
"key": "Pasig",
"doc_count": 3
},
{
"key": "Atlanta",
"doc_count": 2
},
{
"key": "Chicago",
"doc_count": 2
},
{
"key": "Culver City",
"doc_count": 2
},
{
"key": "London Borough of Hackney",
"doc_count": 2
},
{
"key": "Birmingham",
"doc_count": 1
}
]
}
},
"company": {
"doc_count": 2,
"company": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "Second Story",
"doc_count": 2
}
]
}
},
"state": {
"doc_count": 2,
"state": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "Georgia",
"doc_count": 2
}
]
}
}
}
}
我错过了什么？这是正确的行为吗？