| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107 | [[search-aggregations-pipeline-bucket-selector-aggregation]]=== Bucket Selector Aggregationcoming[2.0.0]experimental[]A parent pipeline aggregation which executes a script which determines whether the current bucket will be retained in the parent multi-bucket aggregation. The specified metric must be numeric and the script must return a boolean value. If the script language is `expression` then a numeric return value is permitted. In this case 0.0 will be evaluated as `false` and all other values will evaluate to true.Note: The bucket_selector aggregation, like all pipeline aggregations, executions after all other sibling aggregations. This means that using the bucket_selector aggregation to filter the returned buckets in the response does not save on execution time running the aggregations.==== SyntaxA `bucket_selector` aggregation looks like this in isolation:[source,js]--------------------------------------------------{    "bucket_selector": {        "buckets_path": {            "my_var1": "the_sum", <1>            "my_var2": "the_value_count"        },        script: "my_var1 > my_var2"    }}--------------------------------------------------<1> Here, `my_var1` is the name of the variable for this buckets path to use in the script, `the_sum` is the path to the metrics to use for that variable..`bucket_selector` Parameters|===|Parameter Name |Description |Required |Default Value|`script` |The script to run for this aggregation. The script can be inline, file or indexed. (see <<modules-scripting>> for more details) |Required ||`buckets_path` |A map of script variables and their associated path to the buckets we wish to use for the variable (see <<bucket-path-syntax>> for more details) |Required | |`gap_policy` |The policy to apply when gaps are found in the data (see <<gap-policy>> for more details)|Optional, defaults to `skip` ||===The following snippet only retains buckets where the total sales for the month is less than or equal to 50:[source,js]--------------------------------------------------{    "aggs" : {        "sales_per_month" : {            "date_histogram" : {                "field" : "date",                "interval" : "month"            },            "aggs": {                "total_sales": {                    "sum": {                        "field": "price"                    }                }                "sales_bucket_filter": {                    "bucket_selector": {                        "buckets_paths": {                          "totalSales": "total_sales"                        },                        "script": "totalSales <= 50"                    }                }            }        }    }}--------------------------------------------------And the following may be the response:[source,js]--------------------------------------------------{   "aggregations": {      "sales_per_month": {         "buckets": [            {               "key_as_string": "2015/01/01 00:00:00",               "key": 1420070400000,               "doc_count": 3,               "total_sales": {                   "value": 50               }            },<1>            {               "key_as_string": "2015/03/01 00:00:00",               "key": 1425168000000,               "doc_count": 2,               "total_sales": {                   "value": 40               },            }         ]      }   }}--------------------------------------------------<1> Bucket for `2015/02/01 00:00:00` has been removed as its total sales exceeded 50
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