如何使用Python在Elasticsearch中的对象上执行多次聚合？ [英] How to perform multiple aggregation on an object in Elasticsearch using Python?

问题描述

我想对以下格式的Elasticsearch数据执行日期直方图查询：

I want to perform date histogram query on my Elasticsearch data which is of the format:

datetime，field_obj 和field_obj中有三个字段： a，b，c

datetime,field_obj and field_obj has three fields in it: a,b,c

我想对日期日期直方图进行汇总求出field_obj的平均值，即avg（field_a），avg（field_b），avg（field_c）。
我尝试过这样计算：

Alongside date histogram aggregation, I want to find the average of field_obj i.e avg(field_a), avg(field_b), avg(field_c) also. I tried working it out like this:

    res = es.search(index="demo",body={"from": 0, "size": 0, "query": 
        {"match_all": {}}, "aggs": {
            "date_avg": {
                "date_histogram": {"field": "datetime","interval": "year"},
                    "aggs": {"avg_a": {"avg": {"field": "field.a"}}},
                    "aggs": {"avg_b": {"avg": {"field": "field.b"}}},
                    "aggs": {"avg_c": {"avg": {"field": "field.c"}}},
                         }}
         })  

但是，此查询仅产生field_c的平均值。

However, this query only yields an average of field_c. All the other averages are getting overridden.

推荐答案

好的开始！您需要这样做，这样才能正常工作：

Good start! You need to do it like this and it will work:

res = es.search(index="demo",body={
  "from": 0,
  "size": 0,
  "query": {
    "match_all": {}
  },
  "aggs": {
    "date_avg": {
      "date_histogram": {
        "field": "datetime",
        "interval": "year"
      },
      "aggs": {
        "avg_a": {
          "avg": {
            "field": "field.a"
          }
        },
        "avg_b": {
          "avg": {
            "field": "field.b"
          }
        },
        "avg_c": {
          "avg": {
            "field": "field.c"
          }
        }
      }
    }
  }
})  

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