Sync machine learning saved objects APIedit

Synchronizes Kibana saved objects for machine learning jobs.

Requestedit

GET <kibana host>:<port>/api/ml/saved_objects/sync

GET <kibana host>:<port>/s/<space_id>/api/ml/saved_objects/sync

Path parametersedit

space_id
(Optional, string) An identifier for the space. If space_id is not provided in the URL the default space is used.

Query parametersedit

simulate
(Optional, boolean) When true, simulates the synchronization by only returning the list actions that would be performed.

Response bodyedit

datafeedsAdded
(array) If a saved object for an anomaly detection job is missing a datafeed identifier, it is added. This list contains the datafeed identifiers and indicates whether the synchronization was successful.
datafeedsRemoved
(array) If saved objects exist for datafeeds that no longer exist, they are deleted. This list contains the datafeed identifiers and indicates whether the synchronization was successful.
savedObjectsCreated
(array) If saved objects are missing for machine learning jobs, they are created. This list contains the job identifiers and indicates whether the synchronization was successful.
savedObjectsDeleted
(array) If saved objects exist for jobs that no longer exist, they are deleted. This list contains the job identifiers and indicates whether the synchronization was successful.

Response codeedit

200
Indicates a successful call.

Exampleedit

Retrieve the list of machine learning saved objects that require synchronization:

$ curl -X GET api/ml/saved_objects/sync?simulate=true

If there are two jobs and a datafeed that need to be synchronized, for example, the API returns the following:

{{"savedObjectsCreated":{"myjob1":{"success":true},"myjob2":{"success":true}},"savedObjectsDeleted":{},"datafeedsAdded":{},"datafeedsRemoved":{"myfeed3":{"success":true}}}

To perform the synchronization, re-run the API and omit the simulate parameter.