2019-01-30 07:51:11 -05:00
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[role="xpack"]
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[testenv="platinum"]
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[[ml-set-upgrade-mode]]
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=== Set upgrade mode API
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++++
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<titleabbrev>Set upgrade mode</titleabbrev>
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++++
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Sets a cluster wide upgrade_mode setting that prepares {ml} indices for an
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upgrade.
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2019-06-27 12:42:47 -04:00
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[[ml-set-upgrade-mode-request]]
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==== {api-request-title}
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2019-01-30 07:51:11 -05:00
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//////////////////////////
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2019-09-06 11:31:13 -04:00
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[source,console]
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2019-01-30 07:51:11 -05:00
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--------------------------------------------------
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POST /_ml/set_upgrade_mode?enabled=false&timeout=10m
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--------------------------------------------------
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// TEARDOWN
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//////////////////////////
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`POST _ml/set_upgrade_mode`
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2019-06-27 16:58:42 -04:00
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[[ml-set-upgrade-mode-prereqs]]
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==== {api-prereq-title}
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* If the {es} {security-features} are enabled, you must have `manage_ml` or
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`manage` cluster privileges to use this API. See
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{stack-ov}/security-privileges.html[Security privileges].
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2019-06-27 12:42:47 -04:00
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[[ml-set-upgrade-mode-desc]]
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==== {api-description-title}
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2019-01-30 07:51:11 -05:00
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When upgrading your cluster, in some circumstances you must restart your nodes and
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reindex your {ml} indices. In those circumstances, there must be no {ml} jobs running.
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You can close the {ml} jobs, do the upgrade, then open all the jobs again.
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Alternatively, you can use this API to temporarily halt tasks associated
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with the jobs and {dfeeds} and prevent new jobs from opening. You can also use this
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API during upgrades that do not require you to reindex your {ml} indices,
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though stopping jobs is not a requirement in that case.
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For more information, see {stack-ref}/upgrading-elastic-stack.html[Upgrading the {stack}].
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When `enabled=true` this API temporarily halts all job and {dfeed} tasks and
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prohibits new job and {dfeed} tasks from starting.
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Subsequently, you can call the API with the enabled parameter set to false,
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which causes {ml} jobs and {dfeeds} to return to their desired states.
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You can see the current value for the `upgrade_mode` setting by using the
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<<get-ml-info,get {ml} info API>>.
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IMPORTANT: No new {ml} jobs can be opened while the `upgrade_mode` setting is
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`true`.
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2019-06-27 12:42:47 -04:00
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[[ml-set-upgrade-mode-query-parms]]
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==== {api-query-parms-title}
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2019-01-30 07:51:11 -05:00
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2019-07-12 11:26:31 -04:00
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`enabled`::
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(Optional, boolean) When `true`, this enables `upgrade_mode`. Defaults to
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`false`.
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2019-01-30 07:51:11 -05:00
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2019-07-12 11:26:31 -04:00
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`timeout`::
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(Optional, time) The time to wait for the request to be completed. The default
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value is 30 seconds.
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2019-01-30 07:51:11 -05:00
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2019-06-27 12:42:47 -04:00
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[[ml-set-upgrade-mode-example]]
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==== {api-examples-title}
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2019-01-30 07:51:11 -05:00
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The following example enables `upgrade_mode` for the cluster:
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2019-09-06 11:31:13 -04:00
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[source,console]
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2019-01-30 07:51:11 -05:00
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--------------------------------------------------
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POST _ml/set_upgrade_mode?enabled=true&timeout=10m
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--------------------------------------------------
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When the call is successful, an acknowledged response is returned. For example:
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2019-09-06 09:22:08 -04:00
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[source,console-result]
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2019-01-30 07:51:11 -05:00
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----
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{
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"acknowledged": true
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}
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----
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The acknowledged response will only be returned once all {ml} jobs and {dfeeds} have
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finished writing to the {ml} internal indices. This means it is safe to reindex those
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internal indices without causing failures. You must wait for the acknowledged
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response before reindexing to ensure that all writes are completed.
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When the upgrade is complete, you must set `upgrade_mode` to `false` for
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{ml} jobs to start running again. For example:
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2019-09-06 11:31:13 -04:00
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[source,console]
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2019-01-30 07:51:11 -05:00
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--------------------------------------------------
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POST _ml/set_upgrade_mode?enabled=false&timeout=10m
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--------------------------------------------------
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