[role="xpack"]
[testenv="platinum"]
[[start-dfanalytics]]
=== Start {dfanalytics-jobs} API

[subs="attributes"]
++++
<titleabbrev>Start {dfanalytics-jobs}</titleabbrev>
++++

Starts a {dfanalytics-job}.

experimental[]

[[ml-start-dfanalytics-request]]
==== {api-request-title}

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

[[ml-start-dfanalytics-prereq]]
==== {api-prereq-title}

* You must have `machine_learning_admin` built-in role to use this API. You must 
also have `read` and `view_index_metadata` privileges on the source index and 
`read`, `create_index`, and `index` privileges on the destination index. For 
more information, see <<security-privileges>> and <<built-in-roles>>.

[[ml-start-dfanalytics-path-params]]
==== {api-path-parms-title}

`<data_frame_analytics_id>`::
  (Required, string) Identifier for the {dfanalytics-job}. This identifier can
  contain lowercase alphanumeric characters (a-z and 0-9), hyphens, and
  underscores. It must start and end with alphanumeric characters.

[[ml-start-dfanalytics-query-params]]
==== {api-query-parms-title}

`timeout`::
  (Optional, time) Controls the amount of time to wait until the
  {dfanalytics-job} starts. The default value is 20 seconds.

[[ml-start-dfanalytics-example]]
==== {api-examples-title}

The following example starts the `loganalytics` {dfanalytics-job}:

[source,console]
--------------------------------------------------
POST _ml/data_frame/analytics/loganalytics/_start
--------------------------------------------------
// TEST[skip:setup:logdata_job]

When the {dfanalytics-job} starts, you receive the following results:

[source,console-result]
----
{
  "acknowledged" : true
}
----