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Analyze the index disk usage

Auth The Elastic Stack includes Elastic's core products such as Elasticsearch, Kibana, Logstash, and Beats. Availability Preview since 7.15 This functionality is in technical preview and is ready for evaluation. Use with caution in production; it is not recommended for mission-critical workloads. Elastic will work to fix any issues, but features in technical preview are not subject to the support SLA of official GA features. Specific Support terms apply. 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.

Analyze the disk usage of each field of an index or data stream. This API might not support indices created in previous Elasticsearch versions. The result of a small index can be inaccurate as some parts of an index might not be analyzed by the API.

Note

The total size of fields of the analyzed shards of the index in the response is usually smaller than the index store_size value because some small metadata files are ignored and some parts of data files might not be scanned by the API. Since stored fields are stored together in a compressed format, the sizes of stored fields are also estimates and can be inaccurate. The stored size of the _id field is likely underestimated while the _source field is overestimated.

Path parameters

index union string | string[] required

Comma-separated list of data streams, indices, and aliases used to limit the request. It’s recommended to execute this API with a single index (or the latest backing index of a data stream) as the API consumes resources significantly.

Query parameters

allow_no_indices boolean · default: true

If false, the request returns an error if any wildcard expression, index alias, or _all value targets only missing or closed indices. This behavior applies even if the request targets other open indices. For example, a request targeting foo*,bar* returns an error if an index starts with foo but no index starts with bar.

expand_wildcards union oneOf · default: open

Type of index that wildcard patterns can match. If the request can target data streams, this argument determines whether wildcard expressions match hidden data streams. Supports comma-separated values, such as open,hidden.

Supported values include:

  • all: Match any data stream or index, including hidden ones.
  • open: Match open, non-hidden indices. Also matches any non-hidden data stream.
  • closed: Match closed, non-hidden indices. Also matches any non-hidden data stream. Data streams cannot be closed.
  • hidden: Match hidden data streams and hidden indices. Must be combined with open, closed, or both.
  • none: Wildcard expressions are not accepted.
Values: all open closed hidden none
flush boolean · default: true

If true, the API performs a flush before analysis. If false, the response may not include uncommitted data.

ignore_unavailable boolean · default: false

If true, missing or closed indices are not included in the response.

run_expensive_tasks boolean · default: false

Analyzing field disk usage is resource-intensive. To use the API, this parameter must be set to true.

Response

application/json

Response Type: object