Types and special fields in ES|QL
Elastic Cloud Serverless projects are autoscaled environments, fully managed by Elastic and available on Elastic Cloud. Availability This functionality is generally available and ready for production usage. Serverless interfaces and procedures might differ from classic Elastic Stack deployments. The Elastic Stack includes Elastic's core products such as Elasticsearch, Kibana, Logstash, and Beats. Availability 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.
Serverless
Generally available
Stack
Generally available
This section details how ES|QL handles different data types and special fields.
Implicit casting: Understand how ES|QL automatically converts between data types in expressions.
Time spans: Learn how to work with time intervals in ES|QL.
Metadata fields: Learn about the metadata fields supported by ES|QL, including
_indexand_score.NULL values: Learn how ES|QL handles missing, unknown, or unavailable values, and how to avoid common
NULLgotchas.Multivalued fields: Learn how to work with fields that contain multiple values in ES|QL.
Histogram fields: Learn how to query pre-aggregated value distributions stored as
exponential_histogram,tdigest, orhistogramfields.Unmapped fields: Learn how ES|QL handles fields that aren't in the index mapping, and how to query them with
SET unmapped_fields.