OpenSearch/docs/reference/aggregations/pipeline/bucket-sort-aggregation.asc...

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[[search-aggregations-pipeline-bucket-sort-aggregation]]
=== Bucket sort aggregation
++++
<titleabbrev>Bucket sort</titleabbrev>
++++
A parent pipeline aggregation which sorts the buckets of its parent multi-bucket aggregation.
Zero or more sort fields may be specified together with the corresponding sort order.
Each bucket may be sorted based on its `_key`, `_count` or its sub-aggregations.
In addition, parameters `from` and `size` may be set in order to truncate the result buckets.
NOTE: The `bucket_sort` aggregation, like all pipeline aggregations, is executed after all other non-pipeline aggregations.
This means the sorting only applies to whatever buckets are already returned from the parent aggregation. For example,
if the parent aggregation is `terms` and its `size` is set to `10`, the `bucket_sort` will only sort over those 10
returned term buckets.
==== Syntax
A `bucket_sort` aggregation looks like this in isolation:
[source,js]
--------------------------------------------------
{
"bucket_sort": {
"sort": [
{ "sort_field_1": { "order": "asc" } }, <1>
{ "sort_field_2": { "order": "desc" } },
"sort_field_3"
],
"from": 1,
"size": 3
}
}
--------------------------------------------------
// NOTCONSOLE
<1> Here, `sort_field_1` is the bucket path to the variable to be used as the primary sort and its order
is ascending.
[[bucket-sort-params]]
.`bucket_sort` Parameters
[options="header"]
|===
|Parameter Name |Description |Required |Default Value
|`sort` |The list of fields to sort on. See <<sort-search-results,`sort`>> for more details. |Optional |
|`from` |Buckets in positions prior to the set value will be truncated. |Optional | `0`
|`size` |The number of buckets to return. Defaults to all buckets of the parent aggregation. |Optional |
|`gap_policy` |The policy to apply when gaps are found in the data (see <<gap-policy>> for more
details)|Optional |`skip`
|===
The following snippet returns the buckets corresponding to the 3 months with the highest total sales in descending order:
[source,console]
--------------------------------------------------
POST /sales/_search
{
"size": 0,
"aggs": {
"sales_per_month": {
"date_histogram": {
"field": "date",
"calendar_interval": "month"
},
"aggs": {
"total_sales": {
"sum": {
"field": "price"
}
},
"sales_bucket_sort": {
"bucket_sort": {
"sort": [
{ "total_sales": { "order": "desc" } } <1>
],
"size": 3 <2>
}
}
}
}
}
}
--------------------------------------------------
// TEST[setup:sales]
<1> `sort` is set to use the values of `total_sales` in descending order
<2> `size` is set to `3` meaning only the top 3 months in `total_sales` will be returned
And the following may be the response:
[source,console-result]
--------------------------------------------------
{
"took": 82,
"timed_out": false,
"_shards": ...,
"hits": ...,
"aggregations": {
"sales_per_month": {
"buckets": [
{
"key_as_string": "2015/01/01 00:00:00",
"key": 1420070400000,
"doc_count": 3,
"total_sales": {
"value": 550.0
}
},
{
"key_as_string": "2015/03/01 00:00:00",
"key": 1425168000000,
"doc_count": 2,
"total_sales": {
"value": 375.0
},
},
{
"key_as_string": "2015/02/01 00:00:00",
"key": 1422748800000,
"doc_count": 2,
"total_sales": {
"value": 60.0
},
}
]
}
}
}
--------------------------------------------------
// TESTRESPONSE[s/"took": 82/"took": $body.took/]
// TESTRESPONSE[s/"_shards": \.\.\./"_shards": $body._shards/]
// TESTRESPONSE[s/"hits": \.\.\./"hits": $body.hits/]
==== Truncating without sorting
It is also possible to use this aggregation in order to truncate the result buckets
without doing any sorting. To do so, just use the `from` and/or `size` parameters
without specifying `sort`.
The following example simply truncates the result so that only the second bucket is returned:
[source,console]
--------------------------------------------------
POST /sales/_search
{
"size": 0,
"aggs": {
"sales_per_month": {
"date_histogram": {
"field": "date",
"calendar_interval": "month"
},
"aggs": {
"bucket_truncate": {
"bucket_sort": {
"from": 1,
"size": 1
}
}
}
}
}
}
--------------------------------------------------
// TEST[setup:sales]
Response:
[source,console-result]
--------------------------------------------------
{
"took": 11,
"timed_out": false,
"_shards": ...,
"hits": ...,
"aggregations": {
"sales_per_month": {
"buckets": [
{
"key_as_string": "2015/02/01 00:00:00",
"key": 1422748800000,
"doc_count": 2
}
]
}
}
}
--------------------------------------------------
// TESTRESPONSE[s/"took": 11/"took": $body.took/]
// TESTRESPONSE[s/"_shards": \.\.\./"_shards": $body._shards/]
// TESTRESPONSE[s/"hits": \.\.\./"hits": $body.hits/]