stack es ml stop-data-frame-analytics cli command
Elastic Cloud Serverless projects are autoscaled environments, fully managed by Elastic and available on Elastic Cloud. Availability 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. 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 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.
Serverless
Preview
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Stack
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elastic stack es ml stop-data-frame-analytics --id <id> [options]
Stop data frame analytics jobs.
Behaviour flags:
--dry-run — validate all inputs and exit without performing any action
--idstringrequired- Identifier for the data frame analytics job. This identifier can contain lowercase alphanumeric characters (a-z and 0-9), hyphens, and underscores. It must start and end with alphanumeric characters.
--allow-no-match- Specifies what to do when the request: 1. Contains wildcard expressions and there are no data frame analytics jobs that match. 2. Contains the _all string or no identifiers and there are no matches. 3. Contains wildcard expressions and there are only partial matches. The default value is true, which returns an empty data_frame_analytics array when there are no matches and the subset of results when there are partial matches. If this parameter is false, the request returns a 404 status code when there are no matches or only partial matches.
--force- If true, the data frame analytics job is stopped forcefully.
--timeoutstring- Controls the amount of time to wait until the data frame analytics job stops. Defaults to 20 seconds.
--error-trace- When set to
trueElasticsearch will include the full stack trace of errors when they occur. --filter-pathstring-
Comma-separated list of filters in dot notation which reduce the response returned by Elasticsearch.
Repeatable: pass
--filter-pathmultiple times to supply more than one value --human- When set to
truewill return statistics in a format suitable for humans. For example"exists_time": "1h"for humans and"exists_time_in_millis": 3600000for computers. When disabled the human readable values will be omitted. This makes sense for responses being consumed only by machines. --pretty- If set to
truethe returned JSON will be "pretty-formatted". Only use this option for debugging only. --input-filestring- 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-fieldsstring- comma-separated list of fields to include in output (dot-notation supported)
--output-templatestring- Mustache-like template for custom text output (e.g. "{{id}}: {{name}}")
--json-
output as JSON