我在Elasticsearch中遇到嵌套聚合问题。我有嵌套字段的映射:
POST my_index/ my_type / _mapping
{
"properties": {
"name": {
"type": "keyword"
},
"nested_fields": {
"type": "nested",
"properties": {
"key": {
"type": "keyword"
},
"value": {
"type": "keyword"
}
}
}
}
}
然后我将一个文档添加到索引:
POST my_index/ my_type
{
"name":"object1",
"nested_fields":[
{
"key": "key1",
"value": "value1"
},
{
"key": "key1",
"value": "value2"
}
]
}
如您所见,在我的嵌套数组中,我有两个项目,它们具有相似的key
字段,但具有不同的value
字段。然后我想提出这样的问题:
GET / my_index / my_type / _search
{
"query": {
"nested": {
"path": "nested_fields",
"query": {
"bool": {
"must": [
{
"term": {
"nested_fields.key": {
"value": "key1"
}
}
},
{
"terms": {
"nested_fields.value": [
"value1",
"value2"
]
}
}
]
}
}
}
},
"aggs": {
"agg_nested_fields": {
"nested": {
"path": "nested_fields"
},
"aggs": {
"agg_nested_fields_key": {
"terms": {
"field": "nested_fields.key",
"size": 10
}
}
}
}
}
}
如您所见,我想查找所有文档,其中nested_field
数组中至少有一个对象,key
属性等于key1
,并且提供了一个值{{{ 1}}或value1
)。然后我想通过value2
对创建的文档进行分组。但我有这样的回应
nested_fields.key
从响应中可以看出,我有一次点击(这是正确的),但是文档在聚合中被计算了两次(参见{
"took": 13,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 1,
"max_score": 0.87546873,
"hits": [
{
"_index": "my_index",
"_type": "my_type",
"_id": "AVuLNXxiryKmA7VEwOfV",
"_score": 0.87546873,
"_source": {
"name": "object1",
"nested_fields": [
{
"key": "key1",
"value": "value1"
},
{
"key": "key1",
"value": "value2"
}
]
}
}
]
},
"aggregations": {
"agg_nested_fields": {
"doc_count": 2,
"agg_nested_fields_key": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "key1",
"doc_count": 2
}
]
}
}
}
}
),因为它有两个项目,其中'key1'值在{ {1}}数组。如何在聚合中获得正确的计数?
答案 0 :(得分:0)
您必须在嵌套聚合中使用reverse_nested aggs才能返回根文档上的聚合计数。
{
"query": {
"nested": {
"path": "nested_fields",
"query": {
"bool": {
"must": [{
"term": {
"nested_fields.key": {
"value": "key1"
}
}
},
{
"terms": {
"nested_fields.value": [
"value1",
"value2"
]
}
}
]
}
}
}
},
"aggs": {
"agg_nested_fields": {
"nested": {
"path": "nested_fields"
},
"aggs": {
"agg_nested_fields_key": {
"terms": {
"field": "nested_fields.key",
"size": 10
},
"aggs": {
"back_to_root": {
"reverse_nested": {
"path": "_source"
}
}
}
}
}
}
}
}