Start data frame analytics jobs API
editStart data frame analytics jobs API
editStarts a data frame analytics job.
This functionality is in technical preview and may be changed or removed in a future release. Elastic will work to fix any issues, but features in technical preview are not subject to the support SLA of official GA features.
Request
editPOST _ml/data_frame/analytics/<data_frame_analytics_id>/_start
Prerequisites
editIf the Elasticsearch security features are enabled, you must have the following built-in roles and privileges:
-
machine_learning_admin -
kibana_admin(UI only) -
source indices:
read,view_index_metadata -
destination index:
read,create_index,manageandindex -
cluster:
monitor(UI only)
For more information, see Security privileges and Built-in roles.
Description
editA data frame analytics job can be started and stopped multiple times throughout its lifecycle.
If the destination index does not exist, it is created automatically the first
time you start the data frame analytics job. The index.number_of_shards and index.number_of_replicas settings for the destination index are copied from
the source index. If there are multiple source indices, the destination index
copies the highest setting values. The mappings for the destination index are
also copied from the source indices. If there are any mapping conflicts, the job
fails to start.
If the destination index exists, it is used as is. You can therefore set up the destination index in advance with custom settings and mappings.
Path parameters
edit-
<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 parameters
edit-
timeout - (Optional, time units) Controls the amount of time to wait until the data frame analytics job starts. Defaults to 20 seconds.
Examples
editThe 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
}