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[DOCS] Reformat avg bucket agg reference (#69751) (#69832)
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‎docs/Versions.asciidoc‎

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@@ -15,7 +15,8 @@ include::{docs-root}/shared/versions/stack/{source_branch}.asciidoc[]
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///////
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Javadoc roots used to generate links from Painless's API reference
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///////
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:java11-javadoc: https://docs.oracle.com/en/java/javase/11/docs/api
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:javadoc: https://docs.oracle.com/en/java/javase/{jdk_major}/docs/api
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:java11-javadoc: https://docs.oracle.com/en/java/javase/11/docs/api
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:lucene-core-javadoc: https://lucene.apache.org/core/{lucene_version_path}/core
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ifeval::["{release-state}"=="unreleased"]

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

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[[search-aggregations-pipeline-avg-bucket-aggregation]]
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=== Avg bucket aggregation
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=== Average bucket aggregation
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++++
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<titleabbrev>Avg bucket</titleabbrev>
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<titleabbrev>Average bucket</titleabbrev>
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++++
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A sibling pipeline aggregation which calculates the (mean) average value of a specified metric in a sibling aggregation.
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The specified metric must be numeric and the sibling aggregation must be a multi-bucket aggregation.
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A sibling pipeline aggregation which calculates the mean value of a specified
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metric in a sibling aggregation. The specified metric must be numeric and the
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sibling aggregation must be a multi-bucket aggregation.
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[[avg-bucket-agg-syntax]]
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==== Syntax
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An `avg_bucket` aggregation looks like this in isolation:
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[source,js]
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--------------------------------------------------
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{
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"avg_bucket": {
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"buckets_path": "the_sum"
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}
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}
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--------------------------------------------------
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[source,js,indent=0]
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----
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include::avg-bucket-aggregation.asciidoc[tag=avg-bucket-agg-syntax]
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----
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// NOTCONSOLE
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[[avg-bucket-params]]
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.`avg_bucket` Parameters
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[options="header"]
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|===
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|Parameter Name |Description |Required |Default Value
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|`buckets_path` |The path to the buckets we wish to find the average for (see <<buckets-path-syntax>> for more
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details) |Required |
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|`gap_policy` |The policy to apply when gaps are found in the data (see <<gap-policy>> for more
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details) |Optional |`skip`
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|`format` |format to apply to the output value of this aggregation |Optional | `null`
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|===
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The following snippet calculates the average of the total monthly `sales`:
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[source,console]
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--------------------------------------------------
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POST /_search
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==== Parameters
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`buckets_path`::
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(Required, string)
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Path to the buckets to average. For syntax, see <<buckets-path-syntax>>.
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`gap_policy`::
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(Optional, string)
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Policy to apply when gaps are found in the data. For valid values, see
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<<buckets-path-syntax>>. Defaults to `skip`.
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`format`::
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(Optional, string)
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{javadoc}/java.base/java/text/DecimalFormat.html[DecimalFormat pattern] for the
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output value. If specified, the formatted value is returned in the aggregation's
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`value_as_string` property.
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[[avg-bucket-agg-response]]
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==== Response body
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`value`::
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(float)
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Mean average value for the metric specified in `buckets_path`.
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`value_as_string`::
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(string)
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Formatted output value for the aggregation. This property is only provided if
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a `format` is specified in the request.
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[[avg-bucket-agg-ex]]
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==== Example
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The following `avg_monthly_sales` aggregation uses `avg_bucket` to calculate
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average sales per month:
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[source,console,subs="specialchars+"]
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----
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POST _search
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{
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"size": 0,
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"aggs": {
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}
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},
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"avg_monthly_sales": {
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// tag::avg-bucket-agg-syntax[] <1>
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"avg_bucket": {
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"buckets_path": "sales_per_month>sales" <1>
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"buckets_path": "sales_per_month>sales",
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"gap_policy": "skip",
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"format": "#,##0.00;(#,##0.00)"
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}
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// end::avg-bucket-agg-syntax[] <2>
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}
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}
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}
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--------------------------------------------------
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----
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// TEST[setup:sales]
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<1> `buckets_path` instructs this avg_bucket aggregation that we want the (mean) average value of the `sales` aggregation in the
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`sales_per_month` date histogram.
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<1> Start of the `avg_bucket` configuration. Comment is not part of the example.
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<2> End of the `avg_bucket` configuration. Comment is not part of the example.
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And the following may be the response:
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The request returns the following response:
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[source,console-result]
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--------------------------------------------------
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----
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{
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"took": 11,
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"timed_out": false,
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"_shards": ...,
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"hits": ...,
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"aggregations": {
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"sales_per_month": {
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"buckets": [
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{
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"key_as_string": "2015/01/01 00:00:00",
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"key": 1420070400000,
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"doc_count": 3,
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"sales": {
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"value": 550.0
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}
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},
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{
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"key_as_string": "2015/02/01 00:00:00",
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"key": 1422748800000,
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"doc_count": 2,
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"sales": {
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"value": 60.0
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}
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},
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{
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"key_as_string": "2015/03/01 00:00:00",
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"key": 1425168000000,
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"doc_count": 2,
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"sales": {
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"value": 375.0
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}
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}
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]
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},
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"avg_monthly_sales": {
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"value": 328.33333333333333
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}
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}
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"took": 11,
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"timed_out": false,
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"_shards": ...,
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"hits": ...,
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"aggregations": {
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"sales_per_month": {
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"buckets": [
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{
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"key_as_string": "2015/01/01 00:00:00",
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"key": 1420070400000,
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"doc_count": 3,
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"sales": {
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"value": 550.0
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}
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},
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{
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"key_as_string": "2015/02/01 00:00:00",
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"key": 1422748800000,
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"doc_count": 2,
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"sales": {
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"value": 60.0
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}
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},
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{
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"key_as_string": "2015/03/01 00:00:00",
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"key": 1425168000000,
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"doc_count": 2,
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"sales": {
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"value": 375.0
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}
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}
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]
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},
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"avg_monthly_sales": {
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"value": 328.33333333333333,
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"value_as_string": "328.33"
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}
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}
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}
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--------------------------------------------------
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----
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// TESTRESPONSE[s/"took": 11/"took": $body.took/]
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// TESTRESPONSE[s/"_shards": \.\.\./"_shards": $body._shards/]
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// TESTRESPONSE[s/"hits": \.\.\./"hits": $body.hits/]

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