我有一个运行计数器，例如port.packets，我想按单位而不是实际导数来计算导数归一化值的存储桶路径上的累积和。

通常，累积总和取导数桶路径的名称，有什么办法可以将桶路径提供为归一化值？

{ 
   "size":0,"query":{ 
   // some query 

   },"aggregations":{ 
  "termsAgg":{ 
     "terms":{ 
        "field":"portIdToClusterId","size":1000,"order":[ 
           { 
              "_count":"desc"
           },{ 
              "_key":"asc"
           }
        ]
     },"aggregations":{ 
        "dateHistogramAgg":{ 
           "date_histogram":{ 
              "field":"timestamp","missing":0,"interval":"5m","offset":0,"order":{ 
                 "_key":"asc"
              },"keyed":false,"min_doc_count":0
           },"aggregations":{ 
              "maxAggportrxpackets":{ 
                 "max":{ 
                    "field":"portpackets"
                 }
              },"derAggportrxpackets":{ 
                 "derivative":{ 
                    "buckets_path":[ 
                       "maxAggportrxpackets"
                    ],"gap_policy":"skip","unit":"1s"
                 }
              },"cumSumAggportrxpackets":{ 
                 "cumulative_sum":{ 
                    "buckets_path":[ 
                       "derAggportrxpackets"                           // I want to take the normalized value instead of directly derivative
                    ]
                 }
              }
           }
        }
     }
   }
 }
}


Sample output :

"aggregations" : {
    "termsAgg" : {
      "doc_count_error_upper_bound" : 0,"sum_other_doc_count" : 0,"buckets" : [
        {
          "key" : "1_3_x8::10.115.32.163","doc_count" : 12,"dateHistogramAgg" : {
            "buckets" : [
              {
                "key_as_string" : "2019-10-25T16:20:00.000Z","key" : 1572020400000,"doc_count" : 1,"maxAggportrxpackets" : {
                  "value" : 1.86446649842E11
                },"cumSumAggportrxpackets" : {
                  "value" : 0.0
                }
              },{
                "key_as_string" : "2019-10-25T16:25:00.000Z","key" : 1572020700000,"maxAggportrxpackets" : {
                  "value" : 1.86446649852E11
                },"derAggportrxpackets" : {
                  "value" : 10.0,"normalized_value" : 0.03333333333333333
                },"cumSumAggportrxpackets" : {
                  "value" : 10.0
                }
              },{
                "key_as_string" : "2019-10-25T16:30:00.000Z","key" : 1572021000000,"maxAggportrxpackets" : {
                  "value" : 1.86446649862E11
                },"cumSumAggportrxpackets" : {
                  "value" : 20.0 //  Here I want the cum sum on the normalized_value of the derivative rather than actual derivative 
                }
              }