40深入聚合数据分析

根据日期区间分组，quarter根据季度分组，统计每个季度的总金额，继续根据品牌分组，并统计每组的总金额

GET /tvs/sales/_search 
{
  "size": 0,
  "aggs": {
    "group_by_sold_date": {
      "date_histogram": {
        "field": "sold_date",
        "interval": "quarter",
        "format": "yyyy-MM-dd",
        "min_doc_count": 0,
        "extended_bounds": {
          "min": "2016-01-01",
          "max": "2017-12-31"
        }
      },
      "aggs": {
        "group_by_brand": {
          "terms": {
            "field": "brand"
          },
          "aggs": {
            "sum_price": {
              "sum": {
                "field": "price"
              }
            }
          }
        },
        "total_sum_price": {
          "sum": {
            "field": "price"
          }
        }
      }
    }
  }
}

响应结果

{
  "took": 1,
  "timed_out": false,
  "_shards": {
    "total": 5,
    "successful": 5,
    "skipped": 0,
    "failed": 0
  },
  "hits": {
    "total": 8,
    "max_score": 0,
    "hits": []
  },
  "aggregations": {
    "group_by_sold_date": {
      "buckets": [
        {
          "key_as_string": "2016-01-01",
          "key": 1451606400000,
          "doc_count": 0,
          "total_sum_price": {
            "value": 0
          },
          "group_by_brand": {
            "doc_count_error_upper_bound": 0,
            "sum_other_doc_count": 0,
            "buckets": []
          }
        },
        {
          "key_as_string": "2016-04-01",
          "key": 1459468800000,
          "doc_count": 1,
          "total_sum_price": {
            "value": 3000
          },
          "group_by_brand": {
            "doc_count_error_upper_bound": 0,
            "sum_other_doc_count": 0,
            "buckets": [
              {
                "key": "小米",
                "doc_count": 1,
                "sum_price": {
                  "value": 3000
                }
              }
            ]
          }
        },
        {
          "key_as_string": "2016-07-01",
          "key": 1467331200000,
          "doc_count": 2,
          "total_sum_price": {
            "value": 2700
          },
          "group_by_brand": {
            "doc_count_error_upper_bound": 0,
            "sum_other_doc_count": 0,
            "buckets": [
              {
                "key": "TCL",
                "doc_count": 2,
                "sum_price": {
                  "value": 2700
                }
              }
            ]
          }
        },
        {
          "key_as_string": "2016-10-01",
          "key": 1475280000000,
          "doc_count": 3,
          "total_sum_price": {
            "value": 5000
          },
          "group_by_brand": {
            "doc_count_error_upper_bound": 0,
            "sum_other_doc_count": 0,
            "buckets": [
              {
                "key": "长虹",
                "doc_count": 3,
                "sum_price": {
                  "value": 5000
                }
              }
            ]
          }
        },
        {
          "key_as_string": "2017-01-01",
          "key": 1483228800000,
          "doc_count": 2,
          "total_sum_price": {
            "value": 10500
          },
          "group_by_brand": {
            "doc_count_error_upper_bound": 0,
            "sum_other_doc_count": 0,
            "buckets": [
              {
                "key": "三星",
                "doc_count": 1,
                "sum_price": {
                  "value": 8000
                }
              },
              {
                "key": "小米",
                "doc_count": 1,
                "sum_price": {
                  "value": 2500
                }
              }
            ]
          }
        },
        {
          "key_as_string": "2017-04-01",
          "key": 1491004800000,
          "doc_count": 0,
          "total_sum_price": {
            "value": 0
          },
          "group_by_brand": {
            "doc_count_error_upper_bound": 0,
            "sum_other_doc_count": 0,
            "buckets": []
          }
        },
        {
          "key_as_string": "2017-07-01",
          "key": 1498867200000,
          "doc_count": 0,
          "total_sum_price": {
            "value": 0
          },
          "group_by_brand": {
            "doc_count_error_upper_bound": 0,
            "sum_other_doc_count": 0,
            "buckets": []
          }
        },
        {
          "key_as_string": "2017-10-01",
          "key": 1506816000000,
          "doc_count": 0,
          "total_sum_price": {
            "value": 0
          },
          "group_by_brand": {
            "doc_count_error_upper_bound": 0,
            "sum_other_doc_count": 0,
            "buckets": []
          }
        }
      ]
    }
  }
}