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Document metadata 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.

Each document has metadata associated with it, such as the _index and _id metadata fields. The behavior of some of these metadata fields can be customized when a mapping is created.

_index
The index to which the document belongs.
_id
The document’s ID.
_source
The original JSON representing the body of the document.
_size
The size of the _source field in bytes, provided by the mapper-size plugin.
_doc_count
A custom field used for storing doc counts when a document represents pre-aggregated data.
_field_names
All fields in the document which contain non-null values.
_ignored
All fields in the document that have been ignored at index time because of ignore_malformed.
_routing
A custom routing value which routes a document to a particular shard.
_meta
Application specific metadata.
_tier

The current data tier preference of the index to which the document belongs.