ElasticSearch解决去重精度问题 scripted_metric 去重计数脚本计算高效率解决问题（二）

ElasticSearch scripted_metric 去重计数脚本计算高效率解决问题（二）

11月12日解决问题记录 计数后排序问题暂未解决

话不多说直接贴代码 ：
init_script 定义
map_script 操作 判断
combine_script 操作返回记录
reduce_script 返回sum值

{
    "size": 0,
    "query": {
        "bool": {
            "must": [
                {
                    "range": {
                        "purchase_date": {
                            "from": "2019-08-12 00:00:00",
                            "to": "2019-08-18 23:59:59",
                            "include_lower": true,
                            "include_upper": true,
                            "format": "yyyy-MM-dd HH:mm:ss",
                            "boost": 1
                        }
                    }
                }
            ],
            "adjust_pure_negative": true,
            "boost": 1
        }
    },
    "aggregations": {
        "total_purchase_amount": {
            "sum": {
                "field": "total_purchase_amount",
                "format": "0.000"
            }
        },
        "purchase_quantity": {
            "sum": {
                "field": "purchase_quantity",
                "format": "0"
            }
        },
        "spu": {
          "scripted_metric": {
            "init_script": {
              "source": "params._agg.map= new HashMap()",
              "lang": "painless"
            },
            "map_script": {
              "source": "if(!params._agg.map.containsKey(doc['spu.keyword'].value)){params._agg.map.put(doc['spu.keyword'].value,1)}",
              "lang": "painless"
            },
            "combine_script": {
              "source": "return params._agg.map.keySet().size()",
              "lang": "painless"
            },
            "reduce_script": {
              "source": "double profit = 0; for (a in params._aggs) { profit += a } return profit",
              "lang": "painless"
            }
          }
        }
    }
}