Question

我想对以下格式的Elasticsearch数据执行日期直方图查询：

datetime,field_obj和field_obj中包含三个字段：a,b,c

沿日期直方图聚合，我想查找field_obj的平均值，即avg（field_a），avg（field_b），avg（field_c）。我尝试过这样解决问题：

    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。所有其他平均值都被覆盖。

Answer 1

良好的开始！您需要这样做，这样才能正常工作：

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"
          }
        }
      }
    }
  }
})

如何使用Python在Elasticsearch中的对象上执行多次聚合？

1 个答案: