Start data frame analytics jobs APIedit

Starts a data frame analytics job.

This functionality is experimental and may be changed or removed completely in a future release. Elastic will take a best effort approach to fix any issues, but experimental features are not subject to the support SLA of official GA features.

Requestedit

POST _ml/data_frame/analytics/<data_frame_analytics_id>/_start

Prerequisitesedit

If the Elasticsearch security features are enabled, you must have the following built-in roles and privileges:

  • machine_learning_admin
  • kibana_user (UI only)
  • source index: read, view_index_metadata
  • destination index: read, create_index, manage and index
  • cluster: monitor (UI only)

For more information, see Security privileges and Built-in roles.

Path parametersedit

<data_frame_analytics_id>
(Required, string) 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.

Query parametersedit

timeout
(Optional, time units) Controls the amount of time to wait until the data frame analytics job starts. Defaults to 20 seconds.

Examplesedit

The following example starts the loganalytics data frame analytics job:

POST _ml/data_frame/analytics/loganalytics/_start

When the data frame analytics job starts, you receive the following results:

{
  "acknowledged" : true
}