A sibling pipeline aggregation which identifies the bucket(s) with the maximum value of a specified metric in a sibling aggregation and outputs both the value and the key(s) of the bucket(s). The specified metric must be numeric and the sibling aggregation must be a multi-bucket aggregation.
A max_bucket aggregation looks like this in isolation:
{
    "max_bucket": {
        "buckets_path": "the_sum"
    }
}Table 9. max_bucket Parameters
| Parameter Name | Description | Required | Default Value | 
|---|---|---|---|
| 
 | The path to the buckets we wish to find the maximum for (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 maximum of the total monthly sales:
POST /sales/_search
{
    "size": 0,
    "aggs" : {
        "sales_per_month" : {
            "date_histogram" : {
                "field" : "date",
                "interval" : "month"
            },
            "aggs": {
                "sales": {
                    "sum": {
                        "field": "price"
                    }
                }
            }
        },
        "max_monthly_sales": {
            "max_bucket": {
                "buckets_path": "sales_per_month>sales"  }
        }
    }
}
            }
        }
    }
}| 
 | 
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,
               "sales": {
                  "value": 550.0
               }
            },
            {
               "key_as_string": "2015/02/01 00:00:00",
               "key": 1422748800000,
               "doc_count": 2,
               "sales": {
                  "value": 60.0
               }
            },
            {
               "key_as_string": "2015/03/01 00:00:00",
               "key": 1425168000000,
               "doc_count": 2,
               "sales": {
                  "value": 375.0
               }
            }
         ]
      },
      "max_monthly_sales": {
          "keys": ["2015/01/01 00:00:00"],  "value": 550.0
      }
   }
}
          "value": 550.0
      }
   }
}