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130 lines
4.1 KiB
Markdown
130 lines
4.1 KiB
Markdown
---
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navigation_title: "Extended stats bucket"
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mapped_pages:
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- https://www.elastic.co/guide/en/elasticsearch/reference/current/search-aggregations-pipeline-extended-stats-bucket-aggregation.html
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---
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# Extended stats bucket aggregation [search-aggregations-pipeline-extended-stats-bucket-aggregation]
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A sibling pipeline aggregation which calculates a variety of stats across all bucket of a specified metric in a sibling aggregation. The specified metric must be numeric and the sibling aggregation must be a multi-bucket aggregation.
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This aggregation provides a few more statistics (sum of squares, standard deviation, etc) compared to the `stats_bucket` aggregation.
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## Syntax [_syntax_15]
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A `extended_stats_bucket` aggregation looks like this in isolation:
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```js
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{
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"extended_stats_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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$$$extended-stats-bucket-params$$$
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| Parameter Name | Description | Required | Default Value |
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| --- | --- | --- | --- |
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| `buckets_path` | The path to the buckets we wish to calculate stats for (see [`buckets_path` Syntax](/reference/data-analysis/aggregations/pipeline.md#buckets-path-syntax) for more details) | Required | |
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| `gap_policy` | The policy to apply when gaps are found in the data (see [Dealing with gaps in the data](/reference/data-analysis/aggregations/pipeline.md#gap-policy) for more details) | Optional | `skip` |
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| `format` | [DecimalFormat pattern](https://docs.oracle.com/en/java/javase/11/docs/api/java.base/java/text/DecimalFormat.html) for theoutput value. If specified, the formatted value is returned in the aggregation’s`value_as_string` property | Optional | `null` |
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| `sigma` | The number of standard deviations above/below the mean to display | Optional | 2 |
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The following snippet calculates the extended stats for monthly `sales` bucket:
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```console
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POST /sales/_search
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{
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"size": 0,
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"aggs": {
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"sales_per_month": {
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"date_histogram": {
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"field": "date",
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"calendar_interval": "month"
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},
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"aggs": {
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"sales": {
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"sum": {
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"field": "price"
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}
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}
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}
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},
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"stats_monthly_sales": {
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"extended_stats_bucket": {
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"buckets_path": "sales_per_month>sales" <1>
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}
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}
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}
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}
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```
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1. `bucket_paths` instructs this `extended_stats_bucket` aggregation that we want the calculate stats for the `sales` aggregation in the `sales_per_month` date histogram.
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And the following may be the response:
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```console-result
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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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"stats_monthly_sales": {
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"count": 3,
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"min": 60.0,
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"max": 550.0,
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"avg": 328.3333333333333,
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"sum": 985.0,
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"sum_of_squares": 446725.0,
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"variance": 41105.55555555556,
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"variance_population": 41105.55555555556,
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"variance_sampling": 61658.33333333334,
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"std_deviation": 202.74505063146563,
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"std_deviation_population": 202.74505063146563,
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"std_deviation_sampling": 248.3109609609156,
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"std_deviation_bounds": {
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"upper": 733.8234345962646,
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"lower": -77.15676792959795,
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"upper_population" : 733.8234345962646,
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"lower_population" : -77.15676792959795,
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"upper_sampling" : 824.9552552551645,
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"lower_sampling" : -168.28858858849787
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}
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}
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}
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}
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```
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