Elasticsearch nested aggregation problem-CodePudding

 "hits" : [
{
"_index" : "mytest", 
"_type" : "doc," 
"_id" : "2", 
"_score" : 1, 
"_source" : {
"AuthorObjectJson" : [
{
"Name" : "wang wu," 
"Org" : "beihang university", "
}, 
{
"Name" : "zhao liu," 
"Org", "chongqing university", "
} 
] 
} 
}, 
{
"_index" : "mytest", 
"_type" : "doc," 
"_id" : "1", 
"_score" : 1, 
"_source" : {
"AuthorObjectJson" : [
{
"Name" : "zhang SAN", 
"Org" : "beihang university", "
}, 
{
"Name" : "li si," 
"Org", "chongqing university", "
} 
] 
} 
} 
]

My index as the data on the AuthorObjectJson is a nested type, now I'd like to Org is beihang university are aggregated statistics, use the following query

 GET mytest/_search 
{
"Query" : {
"Bool" : {
"Must" : [
{
"Nested" : {
"Path" : "AuthorObjectJson," 
"Query" : {
"Match_phrase" : {
"AuthorObjectJson.Org", "beihang university", "
} 
} 
} 
} 
] 
} 
}, 
"Aggs" : {
"NAME" : {
"Nested" : {
"Path" : "AuthorObjectJson 
"}, 
"Aggs" : {
"SDF" : {
"Terms" : {
"Field" : "AuthorObjectJson. Name. Keyword", 
"Size" : 10 
} 
} 
} 
} 
} 
}

Get the following results:

 "aggregations" : {
"NAME" : {
"Doc_count" : 4, 
"SDF" : {
"Doc_count_error_upper_bound" : 0, 
"Sum_other_doc_count" : 0, 
"Buckets" : [
{
"Key" : "li si," 
1 
 "doc_count" :}, 
{
"Key" : "wang wu," 
1 
 "doc_count" :}, 
{
"Key" : "zhang SAN", 
1 
 "doc_count" :}, 
{
"Key" : "zhao liu," 
1 
 "doc_count" :} 
] 
} 
} 
}

This is not what I want results, what I want is zhang SAN and wangwu two of them is beihang university students, this how to solve?