stack es esql put-dataset 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
Preview
Stack
Preview
Preview
elastic stack es esql put-dataset \
--data-source <data-source> \
--resource <resource> \
--name <name> \
[options]
Create or update an ES|QL dataset.
Behaviour flags:
--dry-run — validate all inputs and exit without performing any action
--data-sourcestringrequired- The name of the referenced data source. The data source must already exist.
--resourcestringrequired- The URI that identifies the data to read, resolved against the referenced data source.
It can include glob patterns. For example, a recursive pattern can match
all Parquet files under the
s3://logs-bucket/accessprefix. --namestringrequired- The dataset name to create or update.
--master-timeoutstring- Period to wait for a connection to the master node.
--timeoutstring- The time to wait for the request to be completed.
--descriptionstring- A free-text description of the dataset.
--mappingsstring- User-declared mapping on the dataset definition
--settingsstring- Format and parsing-specific settings that configure how the resource is read.
Common keys include
format, which explicitly selects a registered format, andpartition_detection, which acceptsauto,hive,template, ornone. Additional keys depend on the format reader. Compression can be inferred from the resource URI. --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