Max Bucket Aggregationedit

Warning

This functionality is experimental and may be changed or removed completely in a future release. Elastic will take a best effort approach to fix any issues, but experimental features are not subject to the support SLA of official GA features.

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.

Syntaxedit

A max_bucket aggregation looks like this in isolation:

{
    "max_bucket": {
        "buckets_path": "the_sum"
    }
}

Table 3. max_bucket Parameters

Parameter Name

Description

Required

Default Value

buckets_path

The path to the buckets we wish to find the maximum for (see buckets_path Syntaxedit for more details)

Required

gap_policy

The policy to apply when gaps are found in the data (see Dealing with gaps in the dataedit for more details)

Optional, defaults to skip

format

format to apply to the output value of this aggregation

Optional, defaults to null


The following snippet calculates the maximum of the total monthly sales:

{
    "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" 
            }
        }
    }
}

buckets_path instructs this max_bucket aggregation that we want the maximum value of the sales aggregation in the sales_per_month date histogram.

And the following may be the response:

{
   "aggregations": {
      "sales_per_month": {
         "buckets": [
            {
               "key_as_string": "2015/01/01 00:00:00",
               "key": 1420070400000,
               "doc_count": 3,
               "sales": {
                  "value": 550
               }
            },
            {
               "key_as_string": "2015/02/01 00:00:00",
               "key": 1422748800000,
               "doc_count": 2,
               "sales": {
                  "value": 60
               }
            },
            {
               "key_as_string": "2015/03/01 00:00:00",
               "key": 1425168000000,
               "doc_count": 2,
               "sales": {
                  "value": 375
               }
            }
         ]
      },
      "max_monthly_sales": {
          "keys": ["2015/01/01 00:00:00"], 
          "value": 550
      }
   }
}

keys is an array of strings since the maximum value may be present in multiple buckets