| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190 | [[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 10returned term buckets.==== SyntaxA `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 orderis 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 returnedAnd 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 sortingIt is also possible to use this aggregation in order to truncate the result bucketswithout doing any sorting. To do so, just use the `from` and/or `size` parameterswithout 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/]
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