[[search-aggregations-pipeline-bucket-sort-aggregation]] === Bucket Sort Aggregation 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` Parameters |=== |Parameter Name |Description |Required |Default Value |`sort` |The list of fields to sort on. See <> 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 <> 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,js] -------------------------------------------------- POST /sales/_search { "size": 0, "aggs" : { "sales_per_month" : { "date_histogram" : { "field" : "date", "interval" : "month" }, "aggs": { "total_sales": { "sum": { "field": "price" } }, "sales_bucket_sort": { "bucket_sort": { "sort": [ {"total_sales": {"order": "desc"}}<1> ], "size": 3<2> } } } } } } -------------------------------------------------- // CONSOLE // 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,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 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,js] -------------------------------------------------- POST /sales/_search { "size": 0, "aggs" : { "sales_per_month" : { "date_histogram" : { "field" : "date", "interval" : "month" }, "aggs": { "bucket_truncate": { "bucket_sort": { "from": 1, "size": 1 } } } } } } -------------------------------------------------- // CONSOLE // 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/]