stack es ml get-buckets cli command

elastic stack es ml get-buckets --job-id <job-id> [options]

Get anomaly detection job results for buckets.

Behaviour flags:

--dry-run — validate all inputs and exit without performing any action

--job-id string required

Identifier for the anomaly detection job.

--anomaly-score number

Refer to the description for the anomaly_score query parameter.

--desc

Refer to the description for the desc query parameter.

--end string

Refer to the description for the end query parameter.

--exclude-interim

Refer to the description for the exclude_interim query parameter.

--expand

Refer to the description for the expand query parameter.

--from number

Skips the specified number of buckets.

--size number

Specifies the maximum number of buckets to obtain.

--sort string

Refer to the desription for the sort query parameter.

--start string

Refer to the description for the start query parameter.

--page string

--timestamp string

The timestamp of a single bucket result. If you do not specify this parameter, the API returns information about all buckets.

--error-trace

When set to true Elasticsearch will include the full stack trace of errors when they occur.

--filter-path string

Comma-separated list of filters in dot notation which reduce the response returned by Elasticsearch.

Repeatable: pass --filter-path multiple times to supply more than one value

--human

When set to true will return statistics in a format suitable for humans. For example "exists_time": "1h" for humans and "exists_time_in_millis": 3600000 for computers. When disabled the human readable values will be omitted. This makes sense for responses being consumed only by machines.

--pretty

If set to true the returned JSON will be "pretty-formatted". Only use this option for debugging only.

--input-file string

path to a JSON file to use as command input

--dry-run

validate all inputs and exit without performing any action (preview changes without applying them)

--no-validate

skip input validation and send the request as-is

--output-fields string

comma-separated list of fields to include in output (dot-notation supported)

--output-template string

Mustache-like template for custom text output (e.g. "{{id}}: {{name}}")

--json

output as JSON