Field context

Serverless Stack

Use a Painless script to create a script field to return a customized value for each document in the results of a query.

Tip

To create dynamic fields with more capabilities, consider using runtime fields instead. Runtime fields can be used in the query phase to select documents and in aggregations, while script fields only work during the fetch phase to decorate already selected results.

Variables

params (Map, read-only): User-defined parameters passed in as part of the query.
doc (Map, read-only): Contains the fields of the specified document where each field is a List of values.
params['_source'] (Map, read-only): Contains extracted JSON in a Map and List structure for the fields existing in a stored document.

Return

Object: The customized value for each document.

API

Both the standard Painless API and specialized Field API are available.

Example

To run the example, first install the eCommerce sample data.

The first script extracts the day index from the day_of_week_i field to determine whether the order was placed on a weekday or during the weekend:

doc['day_of_week_i'].value >= 5 ? 'Weekend' : 'Weekday'

The second script evaluates the total_quantity field to classify the order size:

		long tq = doc['total_quantity'].value;

if (tq == 1) return 'Single Item';
if (tq <= 3) return 'Small Order';
if (tq <= 6) return 'Medium Order';

return 'Large Order';

The following request uses both scripts to categorize each order by the day it was placed and by its size:

		GET kibana_sample_data_ecommerce/_search
{
  "size": 1,
  "query": {
    "match_all": {}
  },
  "script_fields": {
    "is_weekend_shopper": {
      "script": {
        "source": "doc['day_of_week_i'].value >= 5 ? 'Weekend' : 'Weekday'"
      }
    },
    "order_size_category": {
      "script": {
        "source": """
          long qty = doc['total_quantity'].value;

          if (qty == 1) return 'Single Item';
          if (qty <= 3) return 'Small Order';
          if (qty <= 6) return 'Medium Order';

          return 'Large Order';
        """
      }
    }
  },
  "fields": ["day_of_week_i", "total_quantity"]
}
		
	

Response:

		 {
  "took": 0,
  "timed_out": false,
  "_shards": {
    "total": 1,
    "successful": 1,
    "skipped": 0,
    "failed": 0
  },
  "hits": {
    "total": {
      "value": 4675,
      "relation": "eq"
    },
    "max_score": 1,
    "hits": [
      {
        "_index": "kibana_sample_data_ecommerce",
        "_id": "ZkUZjJgBMSQotAoT_Jcg",
        "_score": 1,
        "fields": {
          "order_size_category": [
            "Small Order"
          ],
          "is_weekend_shopper": [
            "Weekday"
          ],
          "day_of_week_i": [
            4
          ],
          "total_quantity": [
            2
          ]
        }
      }
    ]
  }
}
		
	