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Use runtime fields

Serverless

Elastic Cloud Serverless projects are autoscaled environments, fully managed by Elastic and available on Elastic Cloud.

Availability

  • Generally available

    This functionality is generally available and ready for production usage.

Serverless interfaces and procedures might differ from classic Elastic Stack deployments.

Stack

The Elastic Stack includes Elastic's core products such as Elasticsearch, Kibana, Logstash, and Beats.

Availability

  • Generally available

    This functionality is generally available and ready for production usage.

Unless stated otherwise on the page, this functionality is available when your Elastic Stack is deployed on Elastic Cloud Hosted, Elastic Cloud Enterprise, Elastic Cloud on Kubernetes, and self-managed environments.

This documentation corresponds to the latest patch available for each minor version. If you're not using the latest patch, check the release notes for changes.

Use the runtime_mappings parameter to extract and create runtime fields, or columns, from existing ones during a search.

The following search creates a release_day_of_week runtime field from release_date and returns it in the response.

JSON 
POST _sql?format=txt
{
  "runtime_mappings": {
    "release_day_of_week": {
      "type": "keyword",
      "script": """
        emit(doc['release_date'].value.dayOfWeekEnum.toString())
      """
    }
  },
  "query": """
    SELECT * FROM library WHERE page_count > 300 AND author = 'Frank Herbert'
  """
}

The API returns:

Txt 
    author     |     name      |  page_count   |      release_date      |release_day_of_week
---------------+---------------+---------------+------------------------+-------------------
Frank Herbert  |Dune           |604            |1965-06-01T00:00:00.000Z|TUESDAY