我有一个名为properties的数组的对象。属性本身就是对象,由fields属性和值组成(以及其他几个在这里不重要的对象)。
我想找到某个属性的所有值。
我目前的方法是对properties.attribute使用筛选查询,然后对properties.value使用聚合。但这不足,因为聚合使用定义的所有属性,而不仅仅是具有搜索的properties.attribute的属性。
有没有办法将聚合'空间'限制为properties.attribute匹配的属性?
为了完整性,这里发现了许多值的curl调用,我只对'farbe'(颜色)感兴趣:
curl -XGET 'http://localhost:9200/pwo/Product/_search?size=0&pretty=true' -d '{
"query": {
"filtered": {
"query": { "match_all" : { } },
"filter": {
"bool": {
"must": { "term": { "properties.attribute": "farbe" } }
}
}
}
},
"aggregations": {
"properties": {
"terms": { "field": "properties.value" }
}
}
}'
答案 0 :(得分:1)
如果我理解正确,nested aggregation和filter aggregation的组合似乎可以做你想要的。
但您必须使用nested type设置映射。
作为一个玩具示例,我设置了一个简单的索引如下:
PUT /test_index
{
"settings": {
"number_of_shards": 1
},
"mappings": {
"doc": {
"properties": {
"properties": {
"type": "nested",
"properties": {
"attribute": {
"type": "string"
},
"value": {
"type": "string"
}
}
}
}
}
}
}
(请注意,这有点令人困惑,因为在这种情况下,“properties”既是关键字又是属性定义。)
现在我可以索引一些文件:
POST /test_index/doc/_bulk
{"index":{"_id":1}}
{"properties":[{"attribute":"lorem","value":"Donec a diam lectus."},{"attribute":"ipsum","value":"Sed sit amet ipsum mauris."}]}
{"index":{"_id":2}}
{"properties":[{"attribute":"dolor","value":"Donec et mollis dolor."},{"attribute":"sit","value":"Donec sed odio eros."}]}
{"index":{"_id":3}}
{"properties":[{"attribute":"amet","value":"Vivamus fermentum semper porta."}]}
然后我可以按"properties.value"
过滤"properties.attribute"
的聚合,如下所示:
POST /test_index/_search?search_type=count
{
"aggs": {
"nested_properties": {
"nested": {
"path": "properties"
},
"aggs": {
"filtered_by_attribute": {
"filter": {
"terms": {
"properties.attribute": [
"lorem",
"amet"
]
}
},
"aggs": {
"value_terms": {
"terms": {
"field": "properties.value"
}
}
}
}
}
}
}
}
在这种情况下返回:
{
"took": 3,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"failed": 0
},
"hits": {
"total": 3,
"max_score": 0,
"hits": []
},
"aggregations": {
"nested_properties": {
"doc_count": 5,
"filtered_by_attribute": {
"doc_count": 2,
"value_terms": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "a",
"doc_count": 1
},
{
"key": "diam",
"doc_count": 1
},
{
"key": "donec",
"doc_count": 1
},
{
"key": "fermentum",
"doc_count": 1
},
{
"key": "lectus",
"doc_count": 1
},
{
"key": "porta",
"doc_count": 1
},
{
"key": "semper",
"doc_count": 1
},
{
"key": "vivamus",
"doc_count": 1
}
]
}
}
}
}
}
以下是我一起使用的代码:
http://sense.qbox.io/gist/1e0c58aae54090fadfde8856f4f6793b68de0167