三十六、Elasticsearch聚合分析--最大最小平均求和

1、常用聚合分析

count：bucket，terms，自动就会有一个doc_count，就相当于是count
avg：avg aggs，求平均值
max：求一个bucket内，指定field值最大的那个数据
min：求一个bucket内，指定field值最小的那个数据
sum：求一个bucket内，指定field值的总和

2、实例证明

GET /tvs/sales/_search
{
  "size": 0,
  "aggs": {
    "group_by_colors": {
      "terms": {
        "field": "color"
      },
      "aggs": {
        "avg_price": {
          "avg": {
            "field": "price"
          }
        },
        "sum_price" : {
          "sum": {
            "field": "price"
          }
        },
        "max_price" : {
          "max": {
            "field": "price"
          }
        },
        "min_price" : {
          "min": {
            "field": "price"
          }
        }
      }
    }
  }
}

结果

{
  "took": 37,
  "timed_out": false,
  "_shards": {
    "total": 5,
    "successful": 5,
    "failed": 0
  },
  "hits": {
    "total": 8,
    "max_score": 0,
    "hits": []
  },
  "aggregations": {
    "group_by_colors": {
      "doc_count_error_upper_bound": 0,
      "sum_other_doc_count": 0,
      "buckets": [
        {
          "key": "红色",
          "doc_count": 4,
          "max_price": {
            "value": 8000
          },
          "min_price": {
            "value": 1000
          },
          "avg_price": {
            "value": 3250
          },
          "sum_price": {
            "value": 13000
          }
        },
        {
          "key": "绿色",
          "doc_count": 2,
          "max_price": {
            "value": 3000
          },
          "min_price": {
            "value": 1200
          },
          "avg_price": {
            "value": 2100
          },
          "sum_price": {
            "value": 4200
          }
        },
        {
          "key": "蓝色",
          "doc_count": 2,
          "max_price": {
            "value": 2500
          },
          "min_price": {
            "value": 1500
          },
          "avg_price": {
            "value": 2000
          },
          "sum_price": {
            "value": 4000
          }
        }
      ]
    }
  }
}

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