是否可以按分组方式(例如,
)获取Elasticsearch文档ID的数组当前输出
"aggregations": {,
"types": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "Text Document",
"doc_count": 3310
},
{
"key": "Unknown",
"doc_count": 15
},
{
"key": "Document",
"doc_count": 13
}
]
}
}
所需的输出
"aggregations": {,
"types": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "Text Document",
"doc_count": 3310,
"ids":["doc1","doc2", "doc3"....]
},
{
"key": "Unknown",
"doc_count": 15,
"ids":["doc11","doc12", "doc13"....]
},
{
"key": "Document",
"doc_count": 13
"ids":["doc21","doc22", "doc23"....]
}
]
}
}
不确定在Elasticsearch中是否可行, 以下是我的汇总查询:
{
"size": 0,
"aggs": {
"types": {
"terms": {
"field": "docType",
"size": 10
}
}
}
}
Elasticsearch版本: 6.3.2
答案 0 :(得分:1)
您可以使用top_hits aggregation来返回汇总下的所有文档。使用源过滤,您可以选择匹配项下的字段
查询:
"aggs": {
"district": {
"terms": {
"field": "docType",
"size": 10
},
"aggs": {
"docs": {
"top_hits": {
"size": 10,
"_source": ["ids"]
}
}
}
}
}