弹性搜索根据条件聚合到存储桶中 [英] Elastic Search Aggregate into buckets on conditions
问题描述
我从Elastic Search开始,一直坚持尝试进行一些汇总。基本上,我有一个数据集,该数据集包含以下格式的数据:
I am starting out with Elastic Search, and am stuck at trying to do some aggregation. Basically, I have a data set consisting of data in the following form:
{
"name": "The Chef Restaurant",
"city": "New York",
"state": "New York",
"rating": "GOOD",
"type": "Continental"
}
现在,我想进行一些汇总并获得所有的大陆餐馆,好餐馆,纽约的餐馆在一个查询中。
Now, I want to do some aggregation and get all the Continental restaurants, Good restaurants, Restaurants in New York in one query.
请注意,我不想统计所有类型的餐厅,而只想统计特定类型的餐厅。同样,这些聚合是相互独立的。也就是说,当我说好时,我并不一定要它是欧陆式,它可以是意大利语或其他任何东西。
Note that I don't want the count of all types of restaurants, I just want the count of the specific types. Also, these aggregations are mutually independent. That is, when I say GOOD, I don't necessarily want it to be Continental, it can be Italian or anything else.
这是我尝试过的事情:
{
"size": 0,
"query": {
"match_all": {}
},
"aggregations": {
"good_restaurants": {
"filters": {
"match": {
"rating": "CONTINENTAL"
}
}
},
"continental_restaurants": {
"filters": {
"match": {
"type": "CONTINENTAL"
}
}
},
"restaurants_in_new_york": {
"filters": {
"match": {
"type": "CONTINENTAL"
}
}
}
}
}
这给了我错误:
{
"error": {
"root_cause": [
{
"type": "search_parse_exception",
"reason": "Unknown key for a START_OBJECT in [good_restaurants]: [match].",
"line": 9,
"col": 17
}
],
"type": "search_phase_execution_exception",
"reason": "all shards failed",
"phase": "query",
"grouped": true,
"failed_shards": [
{
"shard": 0,
"index": "test_master",
"node": "-aWy78_mRaaBMcOAeiN9tg",
"reason": {
"type": "search_parse_exception",
"reason": "Unknown key for a START_OBJECT in [good_restaurants]: [match].",
"line": 9,
"col": 17
}
}
]
},
"status": 400
}
我知道这似乎是一个简单的问题,但我已经坚持了很长时间。任何帮助将不胜感激。
I know this seems like a simple question, but I have been stuck at it for a long time. Any help will be appreciated.
推荐答案
通过执行以下操作,可以使其按预期的方式工作:
You can make it work the way you expect, by doing it like this:
{
"size": 0,
"query": {
"match_all": {}
},
"aggregations": {
"selected_types": {
"filters": {
"filters": {
"good_restaurants": {
"match": {
"rating": "CONTINENTAL"
}
},
"continental_restaurants": {
"match": {
"type": "CONTINENTAL"
}
},
"restaurants_in_new_york": {
"match": {
"type": "CONTINENTAL"
}
}
}
}
}
}
}
这篇关于弹性搜索根据条件聚合到存储桶中的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!