﻿---
title: Bucket script aggregation context
description: Use a Painless script in an bucket_script pipeline aggregation to calculate a value as a result in a bucket. The standard Painless API is available. To...
url: https://www.elastic.co/elastic/docs-builder/docs/2395/reference/scripting-languages/painless/painless-bucket-script-agg-context
products:
  - Painless
---

# Bucket script aggregation context
Use a Painless script in an [`bucket_script` pipeline aggregation](https://www.elastic.co/elastic/docs-builder/docs/2395/reference/aggregations/search-aggregations-pipeline-bucket-script-aggregation) to calculate a value as a result in a bucket.

## Variables

<definitions>
  <definition term="params (Map, read-only)">
    User-defined parameters passed in as part of the query. The parameters include values defined as part of the `buckets_path`.
  </definition>
</definitions>


## Return

<definitions>
  <definition term="numeric">
    The calculated value as the result.
  </definition>
</definitions>


## API

The standard [Painless API](https://www.elastic.co/guide/en/elasticsearch/painless/current/painless-api-reference-shared.html) is available.

## Example

To run this example, first follow the steps in [context examples](https://www.elastic.co/elastic/docs-builder/docs/2395/reference/scripting-languages/painless/painless-context-examples).
The painless context in a `bucket_script` aggregation provides a `params` map. This map contains both user-specified custom values, as well as the values from other aggregations specified in the `buckets_path` property.
This example takes the values from a min and max aggregation, calculates the difference, and adds the user-specified base_cost to the result:
```java
(params.max - params.min) + params.base_cost
```

Note that the values are extracted from the `params` map. In context, the aggregation looks like this:
```json

{
  "size": 0,
  "aggs": {
    "theatres": {
      "terms": {
        "field": "theatre",
        "size": 10
      },
      "aggs": {
        "min_cost": {
          "min": {
            "field": "cost"
          }
        },
        "max_cost": {
          "max": {
            "field": "cost"
          }
        },
        "spread_plus_base": {
          "bucket_script": {
            "buckets_path": { <1>
              "min": "min_cost",
              "max": "max_cost"
            },
            "script": {
              "params": {
                "base_cost": 5 <2>
              },
              "source": "(params.max - params.min) + params.base_cost"
            }
          }
        }
      }
    }
  }
}
```