elasticsearch/docs/reference/aggregations/pipeline/avg-bucket-aggregation.asciidoc

[[search-aggregations-pipeline-avg-bucket-aggregation]]
=== Average bucket aggregation
++++
<titleabbrev>Average bucket</titleabbrev>
++++

A sibling pipeline aggregation which calculates the mean value of a specified
metric in a sibling aggregation. The specified metric must be numeric and the
sibling aggregation must be a multi-bucket aggregation.

[[avg-bucket-agg-syntax]]
==== Syntax

[source,js,indent=0]
----
include::avg-bucket-aggregation.asciidoc[tag=avg-bucket-agg-syntax]
----
// NOTCONSOLE

[[avg-bucket-params]]
==== Parameters

`buckets_path`::
(Required, string)
Path to the buckets to average. For syntax, see <<buckets-path-syntax>>.

`gap_policy`::
(Optional, string)
Policy to apply when gaps are found in the data. For valid values, see
<<gap-policy>>. Defaults to `skip`.

`format`::
(Optional, string)
{javadoc}/java.base/java/text/DecimalFormat.html[DecimalFormat pattern] for the
output value. If specified, the formatted value is returned in the aggregation's
`value_as_string` property.

[[avg-bucket-agg-response]]
==== Response body

`value`::
(float)
Mean average value for the metric specified in `buckets_path`.

`value_as_string`::
(string)
Formatted output value for the aggregation. This property is only provided if
a `format` is specified in the request.

[[avg-bucket-agg-ex]]
==== Example

The following `avg_monthly_sales` aggregation uses `avg_bucket` to calculate
average sales per month:

[source,console,subs="specialchars+"]
----
POST _search
{
  "size": 0,
  "aggs": {
    "sales_per_month": {
      "date_histogram": {
        "field": "date",
        "calendar_interval": "month"
      },
      "aggs": {
        "sales": {
          "sum": {
            "field": "price"
          }
        }
      }
    },
    "avg_monthly_sales": {
// tag::avg-bucket-agg-syntax[]               <1>
      "avg_bucket": {
        "buckets_path": "sales_per_month>sales",
        "gap_policy": "skip",
        "format": "#,##0.00;(#,##0.00)"
      }
// end::avg-bucket-agg-syntax[]               <2>
    }
  }
}
----
// TEST[setup:sales]

<1> Start of the `avg_bucket` configuration. Comment is not part of the example.
<2> End of the `avg_bucket` configuration. Comment is not part of the example.

The request returns the following response:

[source,console-result]
----
{
  "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
          }
        }
      ]
    },
    "avg_monthly_sales": {
      "value": 328.33333333333333,
      "value_as_string": "328.33"
    }
  }
}
----
// TESTRESPONSE[s/"took": 11/"took": $body.took/]
// TESTRESPONSE[s/"_shards": \.\.\./"_shards": $body._shards/]
// TESTRESPONSE[s/"hits": \.\.\./"hits": $body.hits/]