| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187 | [[search-aggregations-pipeline-bucket-sort-aggregation]]=== Bucket Sort AggregationA 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 <<request-body-search-sort,`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,js]--------------------------------------------------{   "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,js]--------------------------------------------------{   "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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