折叠只能在_search上下文中使用，而不能在中使用_count。
其次，您的查询甚至可以做什么？您那里有很多多余的参数，例如boost:1etc。您不妨说：
POST /package/_count?&pretty
{
"query": {
"bool": {
"must": [
{
"nested": {
"path": "attachment",
"query": {
"match_all": {}
}
}
}
]
}
}
}
这实际上什么也没做:)
假设有3个文档，其中2个具有相同的attachment.uuid值：
[
{
"attachment":{
"uuid":"04144e14-62c3-11ea-bc55-0242ac130003"
}
},
{
"attachment":{
"uuid":"04144e14-62c3-11ea-bc55-0242ac130003"
}
},
{
"attachment":{
"uuid":"100b9632-62c3-11ea-bc55-0242ac130003"
}
}
]
要获取s 的terms细分uuid，请运行
GET package/_search
{
"size": 0,
"aggs": {
"nested_uniques": {
"nested": {
"path": "attachment"
},
"aggs": {
"subagg": {
"terms": {
"field": "attachment.uuid"
}
}
}
}
}
}
产生
...
{
"aggregations":{
"nested_uniques":{
"doc_count":3,
"subagg":{
"doc_count_error_upper_bound":0,
"sum_other_doc_count":0,
"buckets":[
{
"key":"04144e14-62c3-11ea-bc55-0242ac130003",
"doc_count":2
},
{
"key":"100b9632-62c3-11ea-bc55-0242ac130003",
"doc_count":1
}
]
}
}
}
}
GET package/_search
{
"size": 0,
"aggs": {
"nested_uniques": {
"nested": {
"path": "attachment"
},
"aggs": {
"scripted_uniques": {
"scripted_metric": {
"init_script": "state.my_map = [:];",
"map_script": """
if (doc.containsKey('attachment.uuid')) {
state.my_map[doc['attachment.uuid'].value.toString()] = 1;
}
""",
"combine_script": """
def sum = 0;
for (c in state.my_map.entrySet()) {
sum += 1
}
return sum
""",
"reduce_script": """
def sum = 0;
for (agg in states) {
sum += agg;
}
return sum;
"""
}
}
}
}
}
}
哪个返回
...
{
"aggregations":{
"nested_uniques":{
"doc_count":3,
"scripted_uniques":{
"value":2
}
}
}
}
而这scripted_uniques: 2正是您所追求的。
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