[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}

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

* `machine_learning_admin`
* `kibana_admin` (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>>.


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

`<data_frame_analytics_id>`::
(Required, string)
include::{docdir}/ml/ml-shared.asciidoc[tag=job-id-data-frame-analytics-define]

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

`timeout`::
(Optional, <<time-units,time units>>) 
include::{docdir}/ml/ml-shared.asciidoc[tag=timeout-start]

[[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
}
----
