2018-10-26 15:19:52 -04:00
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[role="xpack"]
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2018-11-14 16:58:08 -05:00
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[testenv="basic"]
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2020-02-04 19:45:18 -05:00
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2018-08-13 16:15:15 -04:00
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[[getting-started-index-lifecycle-management]]
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2020-02-04 19:45:18 -05:00
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== Get started: Automate rollover with {ilm-init}
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++++
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<titleabbrev>Automate rollover</titleabbrev>
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++++
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This tutorial demonstrates how to use {ilm} ({ilm-init})
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to manage indices that contain time-series data.
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2018-08-13 16:15:15 -04:00
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2020-02-04 19:45:18 -05:00
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When you continuously index timestamped documents into {es} using
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Filebeat, Logstash, or some other mechanism,
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you typically use an index alias so you can periodically roll over to a new index.
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This enables you to implement a hot-warm-cold architecture to meet your performance
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requirements for your newest data, control costs over time, enforce retention policies,
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and still get the most out of your data.
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2018-08-13 16:15:15 -04:00
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2020-02-04 19:45:18 -05:00
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To automate rollover and management of time-series indices with {ilm-init}, you:
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. <<ilm-gs-create-policy, Create a lifecycle policy>> with the {ilm-init} put policy API.
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. <<ilm-gs-apply-policy, Create an index template>> to apply the policy to each new index.
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. <<ilm-gs-bootstrap, Bootstrap an index>> as the initial write index.
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. <<ilm-gs-check-progress, Verify indices are moving through the lifecycle phases>>
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as expected with the {ilm-init} explain API.
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2019-04-05 19:38:31 -04:00
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[float]
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[[ilm-gs-create-policy]]
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2020-02-04 19:45:18 -05:00
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=== Create a lifecycle policy
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A lifecycle policy specifies the phases in the index lifecycle
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and the actions to perform in each phase. A lifecycle can have up to four phases:
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`hot`, `warm`, `cold`, and `delete`. Policies are defined in JSON
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and added through the {ilm-init} put policy API.
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2018-08-13 16:15:15 -04:00
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2020-02-04 19:45:18 -05:00
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For example, the following request creates a `datastream_policy` with two phases:
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* The `hot` phase defines a `rollover` action to specify that an index rolls over when it
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reaches either a `max_size` of 50 gigabytes or a `max_age` of 30 days.
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* The `delete` phase uses `min_age` to remove the index 90 days after rollover.
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Note that this value is relative to the rollover time, not the index creation time.
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2019-09-09 13:38:14 -04:00
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[source,console]
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2018-11-14 16:58:08 -05:00
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------------------------
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PUT _ilm/policy/datastream_policy
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{
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"policy": {
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"phases": {
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"hot": { <1>
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"actions": {
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"rollover": {
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"max_size": "50GB", <2>
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"max_age": "30d"
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}
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}
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},
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"delete": {
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2020-02-04 19:45:18 -05:00
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"min_age": "90d", <3>
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"actions": {
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2020-02-04 19:45:18 -05:00
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"delete": {} <4>
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2018-11-14 16:58:08 -05:00
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}
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}
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}
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}
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}
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------------------------
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2020-02-04 19:45:18 -05:00
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<1> The `min_age` defaults to `0ms`, so new indices enter the `hot` phase immediately.
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<2> Trigger the `rollover` action when either of the conditions are met.
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<3> Move the index into the `delete` phase 90 days after rollover.
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<4> Trigger the `delete` action when the index enters the delete phase.
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2020-02-04 19:45:18 -05:00
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See <<_actions>> for the complete list of actions available in each phase.
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2019-04-05 19:38:31 -04:00
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[float]
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[[ilm-gs-apply-policy]]
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2020-02-04 19:45:18 -05:00
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=== Create an index template to apply the lifecycle policy
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2018-11-14 16:58:08 -05:00
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2020-02-04 19:45:18 -05:00
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To automaticaly apply a lifecycle policy to the new write index on rollover,
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specify the policy in the index template used to create new indices.
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2018-11-14 16:58:08 -05:00
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2020-02-04 19:45:18 -05:00
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For example, the following request creates a `datastream_template` that is applied to new indices
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whose names match the `datastream-*` index pattern.
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The template configures two {ilm-init} settings:
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* `index.lifecycle.name` specifies the name of the lifecycle policy to apply to all new indices that match
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the index pattern.
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* `index.lifecycle.rollover_alias` specifies the index alias to be rolled over
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when the rollover action is triggered for an index.
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2018-11-14 16:58:08 -05:00
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2019-09-09 13:38:14 -04:00
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[source,console]
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2018-11-14 16:58:08 -05:00
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-----------------------
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PUT _template/datastream_template
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{
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"index_patterns": ["datastream-*"], <1>
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"settings": {
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"number_of_shards": 1,
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"number_of_replicas": 1,
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"index.lifecycle.name": "datastream_policy", <2>
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"index.lifecycle.rollover_alias": "datastream" <3>
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}
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}
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-----------------------
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// TEST[continued]
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2019-09-09 13:38:14 -04:00
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2020-02-04 19:45:18 -05:00
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<1> Apply the template to a new index if its name starts with `datastream-`.
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<2> The name of the lifecycle policy to apply to each new index.
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<3> The name of the alias used to reference these indices.
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Required for policies that use the rollover action.
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2020-01-28 09:36:29 -05:00
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//////////////////////////
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[source,console]
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--------------------------------------------------
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DELETE /_template/datastream_template
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--------------------------------------------------
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// TEST[continued]
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//////////////////////////
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2020-02-04 19:45:18 -05:00
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[float]
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[[ilm-gs-bootstrap]]
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=== Bootstrap the initial time-series index
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2018-11-14 16:58:08 -05:00
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2020-02-04 19:45:18 -05:00
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To get things started, you need to bootstrap an initial index and
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designate it as the write index for the rollover alias specified in your index template.
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The name of this index must match the template's index pattern and end with a number.
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On rollover, this value is incremented to generate a name for the new index.
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2018-11-14 16:58:08 -05:00
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2020-02-04 19:45:18 -05:00
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For example, the following request creates an index called `datastream-000001`
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and makes it the write index for the `datastream` alias.
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2018-11-14 16:58:08 -05:00
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2019-09-09 13:38:14 -04:00
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[source,console]
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2018-11-14 16:58:08 -05:00
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-----------------------
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2019-01-18 03:34:11 -05:00
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PUT datastream-000001
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{
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"aliases": {
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"datastream": {
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"is_write_index": true
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}
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}
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}
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-----------------------
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// TEST[continued]
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2020-02-04 19:45:18 -05:00
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When the rollover conditions are met, the `rollover` action:
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* Creates a new index called `datastream-000002`.
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This matches the `datastream-*` pattern, so the settings from `datastream_template` are applied to the new index.
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* Designates the new index as the write index and makes the bootstrap index read-only.
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This process repeats each time rollover conditions are met.
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You can search across all of the indices managed by the `datastream_policy` with the `datastream` alias.
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Write operations are routed to the current write index.
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For more information about write indices and rollover, see the <<rollover-index-api-desc, rollover API>>.
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2018-11-14 16:58:08 -05:00
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2019-04-05 19:38:31 -04:00
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[float]
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[[ilm-gs-check-progress]]
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2018-11-14 16:58:08 -05:00
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=== Checking progress
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2020-02-04 19:45:18 -05:00
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To get status information for managed indices, you use the {ilm-init} explain API.
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This lets you find out things like:
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* What phase an index is in and when it entered that phase.
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* The current action and what step is being performed.
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* If any errors have occurred or progress is blocked.
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2018-11-14 16:58:08 -05:00
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2020-02-04 19:45:18 -05:00
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For example, the following request gets information about the `datastream` indices:
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2018-11-14 16:58:08 -05:00
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2019-09-09 13:38:14 -04:00
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[source,console]
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2018-11-14 16:58:08 -05:00
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--------------------------------------------------
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GET datastream-*/_ilm/explain
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--------------------------------------------------
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// TEST[continued]
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2020-02-04 19:45:18 -05:00
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The response below shows that the bootstrap index is waiting in the `hot` phase's `rollover` action.
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It remains in this state and {ilm-init} continues to call `attempt-rollover`
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until the rollover conditions are met.
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2018-11-14 16:58:08 -05:00
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2019-09-09 13:38:14 -04:00
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[source,console-result]
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2018-11-14 16:58:08 -05:00
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--------------------------------------------------
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{
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"indices": {
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"datastream-000001": {
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"index": "datastream-000001",
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2020-02-04 19:45:18 -05:00
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"managed": true,
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"policy": "datastream_policy", <1>
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2018-11-14 16:58:08 -05:00
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"lifecycle_date_millis": 1538475653281,
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"age": "30s", <2>
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"phase": "hot",
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2018-11-14 16:58:08 -05:00
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"phase_time_millis": 1538475653317,
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2020-02-04 19:45:18 -05:00
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"action": "rollover",
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2018-11-14 16:58:08 -05:00
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"action_time_millis": 1538475653317,
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"step": "attempt-rollover", <3>
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"step_time_millis": 1538475653317,
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"phase_execution": {
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"policy": "datastream_policy",
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2020-02-04 19:45:18 -05:00
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"phase_definition": { <4>
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2018-11-14 16:58:08 -05:00
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"min_age": "0ms",
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"actions": {
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"rollover": {
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"max_size": "50gb",
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"max_age": "30d"
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}
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}
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},
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"version": 1,
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"modified_date_in_millis": 1539609701576
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}
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}
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}
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}
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--------------------------------------------------
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2018-11-14 19:45:06 -05:00
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// TESTRESPONSE[skip:no way to know if we will get this response immediately]
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2019-09-09 13:38:14 -04:00
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2020-02-04 19:45:18 -05:00
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<1> The policy used to manage the index
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<2> The age of the index
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<3> The step {ilm-init} is performing on the index
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<4> The definition of the current phase (the `hot` phase)
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See the <<index-lifecycle-management-api,ILM APIs>> for more information.
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