A parent pipeline aggregation which executes a script which can perform per bucket computations on specified metrics in the parent multi-bucket aggregation. The specified metric must be numeric and the script must return a numeric value.
A bucket_script aggregation looks like this in isolation:
{
    "bucket_script": {
        "buckets_path": {
            "my_var1": "the_sum",  "my_var2": "the_value_count"
        },
        "script": "params.my_var1 / params.my_var2"
    }
}
            "my_var2": "the_value_count"
        },
        "script": "params.my_var1 / params.my_var2"
    }
}| 
Here,  | 
Table 27. bucket_script Parameters
| Parameter Name | Description | Required | Default Value | 
|---|---|---|---|
| 
 | The script to run for this aggregation. The script can be inline, file or indexed. (see Scripting for more details) | Required | |
| 
 | A map of script variables and their associated path to the buckets we wish to use for the variable
(see  | Required | |
| 
 | The policy to apply when gaps are found in the data (see Dealing with gaps in the data for more details) | Optional | 
 | 
| 
 | format to apply to the output value of this aggregation | Optional | 
 | 
The following snippet calculates the ratio percentage of t-shirt sales compared to total sales each month:
POST /sales/_search
{
    "size": 0,
    "aggs" : {
        "sales_per_month" : {
            "date_histogram" : {
                "field" : "date",
                "interval" : "month"
            },
            "aggs": {
                "total_sales": {
                    "sum": {
                        "field": "price"
                    }
                },
                "t-shirts": {
                  "filter": {
                    "term": {
                      "type": "t-shirt"
                    }
                  },
                  "aggs": {
                    "sales": {
                      "sum": {
                        "field": "price"
                      }
                    }
                  }
                },
                "t-shirt-percentage": {
                    "bucket_script": {
                        "buckets_path": {
                          "tShirtSales": "t-shirts>sales",
                          "totalSales": "total_sales"
                        },
                        "script": "params.tShirtSales / params.totalSales * 100"
                    }
                }
            }
        }
    }
}And the following may be the response:
{
   "took": 11,
   "timed_out": false,
   "_shards": ...,
   "hits": ...,
   "aggregations": {
      "sales_per_month": {
         "buckets": [
            {
               "key_as_string": "2015/01/01 00:00:00",
               "key": 1420070400000,
               "doc_count": 3,
               "total_sales": {
                   "value": 550.0
               },
               "t-shirts": {
                   "doc_count": 1,
                   "sales": {
                       "value": 200.0
                   }
               },
               "t-shirt-percentage": {
                   "value": 36.36363636363637
               }
            },
            {
               "key_as_string": "2015/02/01 00:00:00",
               "key": 1422748800000,
               "doc_count": 2,
               "total_sales": {
                   "value": 60.0
               },
               "t-shirts": {
                   "doc_count": 1,
                   "sales": {
                       "value": 10.0
                   }
               },
               "t-shirt-percentage": {
                   "value": 16.666666666666664
               }
            },
            {
               "key_as_string": "2015/03/01 00:00:00",
               "key": 1425168000000,
               "doc_count": 2,
               "total_sales": {
                   "value": 375.0
               },
               "t-shirts": {
                   "doc_count": 1,
                   "sales": {
                       "value": 175.0
                   }
               },
               "t-shirt-percentage": {
                   "value": 46.666666666666664
               }
            }
         ]
      }
   }
}