91 lines
2.6 KiB
Plaintext
91 lines
2.6 KiB
Plaintext
[role="xpack"]
|
|
[[stopping-ml]]
|
|
== Stopping machine learning
|
|
|
|
An orderly shutdown of {ml} ensures that:
|
|
|
|
* {dfeeds-cap} are stopped
|
|
* Buffers are flushed
|
|
* Model history is pruned
|
|
* Final results are calculated
|
|
* Model snapshots are saved
|
|
* Jobs are closed
|
|
|
|
This process ensures that jobs are in a consistent state in case you want to
|
|
subsequently re-open them.
|
|
|
|
[float]
|
|
[[stopping-ml-datafeeds]]
|
|
=== Stopping {dfeeds-cap}
|
|
|
|
When you stop a {dfeed}, it ceases to retrieve data from {es}. You can stop a
|
|
{dfeed} by using {kib} or the
|
|
{ref}/ml-stop-datafeed.html[stop {dfeeds} API]. For example, the following
|
|
request stops the `feed1` {dfeed}:
|
|
|
|
[source,js]
|
|
--------------------------------------------------
|
|
POST _xpack/ml/datafeeds/datafeed-total-requests/_stop
|
|
--------------------------------------------------
|
|
// CONSOLE
|
|
// TEST[skip:setup:server_metrics_startdf]
|
|
|
|
NOTE: You must have `manage_ml`, or `manage` cluster privileges to stop {dfeeds}.
|
|
For more information, see <<security-privileges>>.
|
|
|
|
A {dfeed} can be started and stopped multiple times throughout its lifecycle.
|
|
|
|
For examples of stopping {dfeeds} in {kib}, see <<ml-gs-job1-manage>>.
|
|
|
|
[float]
|
|
[[stopping-all-ml-datafeeds]]
|
|
==== Stopping All {dfeeds-cap}
|
|
|
|
If you are upgrading your cluster, you can use the following request to stop all
|
|
{dfeeds}:
|
|
|
|
[source,js]
|
|
----------------------------------
|
|
POST _xpack/ml/datafeeds/_all/_stop
|
|
----------------------------------
|
|
// CONSOLE
|
|
// TEST[skip:needs-licence]
|
|
|
|
[float]
|
|
[[closing-ml-jobs]]
|
|
=== Closing Jobs
|
|
|
|
When you close a job, it cannot receive data or perform analysis operations.
|
|
If a job is associated with a {dfeed}, you must stop the {dfeed} before you can
|
|
close the jobs. If the {dfeed} has an end date, the job closes automatically on
|
|
that end date.
|
|
|
|
You can close a job by using the {ref}/ml-close-job.html[close job API]. For
|
|
example, the following request closes the `job1` job:
|
|
|
|
[source,js]
|
|
--------------------------------------------------
|
|
POST _xpack/ml/anomaly_detectors/total-requests/_close
|
|
--------------------------------------------------
|
|
// CONSOLE
|
|
// TEST[skip:setup:server_metrics_openjob]
|
|
|
|
NOTE: You must have `manage_ml`, or `manage` cluster privileges to stop {dfeeds}.
|
|
For more information, see <<security-privileges>>.
|
|
|
|
A job can be opened and closed multiple times throughout its lifecycle.
|
|
|
|
[float]
|
|
[[closing-all-ml-datafeeds]]
|
|
==== Closing All Jobs
|
|
|
|
If you are upgrading your cluster, you can use the following request to close
|
|
all open jobs on the cluster:
|
|
|
|
[source,js]
|
|
----------------------------------
|
|
POST _xpack/ml/anomaly_detectors/_all/_close
|
|
----------------------------------
|
|
// CONSOLE
|
|
// TEST[skip:needs-licence]
|