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Bucket Script Aggregation

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Bucket Script Aggregation

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Added in 2.0.0-beta1.

This functionality is in technical preview and may be changed or removed in a future release. Elastic will work to fix any issues, but features in technical preview are not subject to the support SLA of official GA features.

A parent pipeline aggregation which executes a script which can perform per bucket computations on specified metrics in the parent multi-bucket aggregation. The specified metric must be numeric and the script must return a numeric value.

Syntax

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A bucket_script aggregation looks like this in isolation:

{
    "bucket_script": {
        "buckets_path": {
            "my_var1": "the_sum", 
            "my_var2": "the_value_count"
        },
        "script": "my_var1 / my_var2"
    }
}

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.

Table 8. bucket_script Parameters

Parameter Name	Description	Required
`script`	The script to run for this aggregation. The script can be inline, file or indexed. (see 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 `buckets_path` Syntax for more details)	Required
`gap_policy`	The policy to apply when gaps are found in the data (see Dealing with gaps in the data for more details)	Optional, defaults to `skip`
`format`	format to apply to the output value of this aggregation	Optional, defaults to `null`

The following snippet calculates the ratio percentage of t-shirt sales compared to total sales each month:

{
    "aggs" : {
        "sales_per_month" : {
            "date_histogram" : {
                "field" : "date",
                "interval" : "month"
            },
            "aggs": {
                "total_sales": {
                    "sum": {
                        "field": "price"
                    }
                },
                "t-shirts": {
                  "filter": {
                    "term": {
                      "type": "t-shirt"
                    }
                  },
                  "aggs": {
                    "sales": {
                      "sum": {
                        "field": "price"
                      }
                    }
                  }
                },
                "t-shirt-percentage": {
                    "bucket_script": {
                        "buckets_path": {
                          "tShirtSales": "t-shirts>sales",
                          "totalSales": "total_sales"
                        },
                        "script": "tShirtSales / totalSales * 100"
                    }
                }
            }
        }
    }
}

And the following may be the response:

{
   "aggregations": {
      "sales_per_month": {
         "buckets": [
            {
               "key_as_string": "2015/01/01 00:00:00",
               "key": 1420070400000,
               "doc_count": 3,
               "total_sales": {
                   "value": 50
               },
               "t-shirts": {
                   "doc_count": 2,
                   "sales": {
                       "value": 10
                   }
               },
               "t-shirt-percentage": {
                   "value": 20
               }
            },
            {
               "key_as_string": "2015/02/01 00:00:00",
               "key": 1422748800000,
               "doc_count": 2
               "total_sales": {
                   "value": 60
               },
               "t-shirts": {
                   "doc_count": 1,
                   "sales": {
                       "value": 15
                   }
               },
               "t-shirt-percentage": {
                   "value": 25
               }
            },
            {
               "key_as_string": "2015/03/01 00:00:00",
               "key": 1425168000000,
               "doc_count": 2,
               "total_sales": {
                   "value": 40
               },
               "t-shirts": {
                   "doc_count": 1,
                   "sales": {
                       "value": 20
                   }
               },
               "t-shirt-percentage": {
                   "value": 50
               }
            }
         ]
      }
   }
}

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