[DOCS] Make ILM documentation data stream aware (#58035) (#58110)

Co-authored-by: James Rodewig <james.rodewig@elastic.co>
Co-authored-by: Lee Hinman <dakrone@users.noreply.github.com>
(cherry picked from commit 25cbbe56dd29fbee2efe8040e9c8b92d168cb670)
Signed-off-by: Andrei Dan <andrei.dan@elastic.co>
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Andrei Dan 2020-06-15 15:16:14 +01:00 committed by GitHub
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6 changed files with 301 additions and 78 deletions

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@ -268,9 +268,14 @@ shard will never be started on the same node as its primary shard.
-- --
// tag::rollover-def[] // tag::rollover-def[]
// tag::rollover-def-short[] // tag::rollover-def-short[]
Redirect an alias to begin writing to a new index when the existing index reaches a certain age, number of docs, or size.
Creates a new index for a rollover target when the existing index reaches a certain size, number of docs, or age.
A rollover target can be either an <<indices-aliases, index alias>> or a <<data-streams, data stream>>.
// end::rollover-def-short[] // end::rollover-def-short[]
The new index is automatically configured according to any matching <<glossary-index-template, index templates>>.
The new index is automatically configured according to any matching <<glossary-index-template,index templates>> or
respectively, a <<indices-templates,composable index template>> if the rollover target is a
<<data-streams, data stream>>.
For example, if you're indexing log data, you might use rollover to create daily or weekly indices. For example, if you're indexing log data, you might use rollover to create daily or weekly indices.
See the {ref}/indices-rollover-index.html[rollover index API]. See the {ref}/indices-rollover-index.html[rollover index API].
// end::rollover-def[] // end::rollover-def[]

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@ -4,7 +4,7 @@
Phases allowed: hot. Phases allowed: hot.
Rolls an alias over to a new index when the existing index meets one of the rollover conditions. Rolls over a target to a new index when the existing index meets one of the rollover conditions.
IMPORTANT: If the rollover action is used on a <<ccr-put-follow,follower index>>, IMPORTANT: If the rollover action is used on a <<ccr-put-follow,follower index>>,
policy execution waits until the leader index rolls over (or is policy execution waits until the leader index rolls over (or is
@ -12,7 +12,12 @@ policy execution waits until the leader index rolls over (or is
then converts the follower index into a regular index with the then converts the follower index into a regular index with the
<<ilm-unfollow-action, Unfollow action>>. <<ilm-unfollow-action, Unfollow action>>.
For a managed index to be rolled over: A rollover target can be a <<data-streams, data stream>> or an <<indices-aliases, index alias>>.
When targeting a data stream, the new index becomes the data stream's
<<data-stream-write-index,write index>> and its generation is incremented.
To roll over an <<indices-aliases, index alias>>, the alias and its write index
must meet the following conditions:
* The index name must match the pattern '^.*-\\d+$', for example (`my_index-000001`). * The index name must match the pattern '^.*-\\d+$', for example (`my_index-000001`).
* The `index.lifecycle.rollover_alias` must be configured as the alias to roll over. * The `index.lifecycle.rollover_alias` must be configured as the alias to roll over.

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@ -6,6 +6,18 @@ Phases allowed: cold.
Takes a snapshot of the managed index in the configured repository Takes a snapshot of the managed index in the configured repository
and mounts it as a searchable snapshot. and mounts it as a searchable snapshot.
If the managed index is part of a <<data-streams, data stream>>,
the mounted index replaces the original index in the data stream.
[NOTE]
This action cannot be performed on a data stream's write index. Attempts to do
so will fail. To convert the index to a searchable snapshot, first
<<manually-roll-over-a-data-stream,manually roll over>> the data stream. This
creates a new write index. Because the index is no longer the stream's write
index, the action can then convert it to a searchable snapshot.
Using a policy that makes use of the <<ilm-rollover, rollover>> action
in the hot phase will avoid this situation and the need for a manual rollover for future
managed indices.
By default, this snapshot is deleted by the <<ilm-delete-action, delete action>> in the delete phase. By default, this snapshot is deleted by the <<ilm-delete-action, delete action>> in the delete phase.
To keep the snapshot, set `delete_searchable_snapshot` to `false` in the delete action. To keep the snapshot, set `delete_searchable_snapshot` to `false` in the delete action.

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@ -21,6 +21,19 @@ policy execution waits until the leader index rolls over (or is
then converts the follower index into a regular index with the then converts the follower index into a regular index with the
<<ilm-unfollow-action,the Unfollow action>> before performing the shrink operation. <<ilm-unfollow-action,the Unfollow action>> before performing the shrink operation.
If the managed index is part of a <<data-streams, data stream>>,
the shrunken index replaces the original index in the data stream.
[NOTE]
This action cannot be performed on a data stream's write index. Attempts to do
so will fail. To shrink the index, first
<<manually-roll-over-a-data-stream,manually roll over>> the data stream. This
creates a new write index. Because the index is no longer the stream's write
index, the action can resume shrinking it.
Using a policy that makes use of the <<ilm-rollover, rollover>> action
in the hot phase will avoid this situation and the need for a manual rollover for future
managed indices.
[[ilm-shrink-options]] [[ilm-shrink-options]]
==== Shrink options ==== Shrink options
`number_of_shards`:: `number_of_shards`::

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@ -11,17 +11,26 @@ This tutorial demonstrates how to use {ilm}
({ilm-init}) to manage indices that contain time-series data. ({ilm-init}) to manage indices that contain time-series data.
When you continuously index timestamped documents into {es}, When you continuously index timestamped documents into {es},
you typically use an index alias so you can periodically roll over to a new index. you typically use a <<data-streams, data stream>> so you can periodically roll over to a
new index.
This enables you to implement a hot-warm-cold architecture to meet your performance This enables you to implement a hot-warm-cold architecture to meet your performance
requirements for your newest data, control costs over time, enforce retention policies, requirements for your newest data, control costs over time, enforce retention policies,
and still get the most out of your data. and still get the most out of your data.
To automate rollover and management of time-series indices with {ilm-init}, you: TIP: Data streams are best suited for
<<data-streams-append-only,append-only>> use cases. If you need to frequently
update or delete existing documents across multiple indices, we recommend
using an index alias and index template instead. You can still use ILM to
manage and rollover the alias's indices. Skip to
<<manage-time-series-data-without-data-streams>>.
To automate rollover and management of a data stream with {ilm-init}, you:
. <<ilm-gs-create-policy, Create a lifecycle policy>> that defines the appropriate . <<ilm-gs-create-policy, Create a lifecycle policy>> that defines the appropriate
phases and actions. phases and actions.
. <<ilm-gs-apply-policy, Create an index template>> to apply the policy to each new index. . <<ilm-gs-apply-policy, Create a composable template>> to create the data stream and
. <<ilm-gs-bootstrap, Bootstrap an index>> as the initial write index. apply the ILM policy and the indices settings and mappings configurations for the backing
indices.
. <<ilm-gs-check-progress, Verify indices are moving through the lifecycle phases>> . <<ilm-gs-check-progress, Verify indices are moving through the lifecycle phases>>
as expected. as expected.
@ -29,7 +38,7 @@ For an introduction to rolling indices, see <<index-rollover>>.
IMPORTANT: When you enable {ilm} for {beats} or the {ls} {es} output plugin, IMPORTANT: When you enable {ilm} for {beats} or the {ls} {es} output plugin,
lifecycle policies are set up automatically. lifecycle policies are set up automatically.
You do not need bootstrap the initial index or take any other actions. You do not need to take any other actions.
You can modify the default policies through You can modify the default policies through
{kibana-ref}/example-using-index-lifecycle-policy.html[{kib} Management] {kibana-ref}/example-using-index-lifecycle-policy.html[{kib} Management]
or the {ilm-init} APIs. or the {ilm-init} APIs.
@ -89,7 +98,211 @@ For the complete list of actions that {ilm} can perform, see <<ilm-actions>>.
[discrete] [discrete]
[[ilm-gs-apply-policy]] [[ilm-gs-apply-policy]]
=== Create an index template to apply the lifecycle policy === Create a composable template to create the data stream and apply the lifecycle policy
To set up a data stream, first create a composable template to specify the lifecycle policy. Because
the template is for a data stream, it must also include a `data_stream` definition.
For example, you might create a `timeseries_template` to use for a future data stream
named `timeseries`.
To enable the {ilm-init} to manage the data stream, the template configures one {ilm-init} setting:
* `index.lifecycle.name` specifies the name of the lifecycle policy to apply to the data stream.
You can use the {kib} Create template wizard to add the template.
This wizard invokes the put _index_template API to create the <<indices-templates,composable index template>>
with the options you specify.
The underlying request looks like this:
[source,console]
-----------------------
PUT _index_template/timeseries_template
{
"index_patterns": ["timeseries"], <1>
"data_stream": {
"timestamp_field": "@timestamp" <2>
},
"template": {
"settings": {
"number_of_shards": 1,
"number_of_replicas": 1,
"index.lifecycle.name": "timeseries_policy" <3>
},
"mappings": {
"properties": {
"@timestamp": {
"type": "date" <4>
}
}
}
}
}
-----------------------
// TEST[continued]
<1> Apply the template when a document is indexed into the `timeseries` target.
<2> Identifies the timestamp field for the data source. This field must be present
in all documents indexed into the `timeseries` data stream.
<3> The name of the {ilm-init} policy used to manage the data stream.
<4> A <<date,`date`>> or <<date_nanos,`date_nanos`>> field mapping for the
timestamp field specified in the `timestamp_field` property
You can also invoke this API directly to add templates.
[discrete]
[[ilm-gs-create-the-data-stream]]
=== Create the data stream
To get things started, index a document into the name or wildcard pattern defined
in the `index_patterns` of the <<indices-templates,composable index template>>. As long
as an existing data stream, index, or index alias does not already use the name, the index
request automatically creates a corresponding data stream with a single backing index.
{es} automatically indexes the request's documents into this backing index, which also
acts as the stream's <<data-stream-write-index,write index>>.
For example, the following request creates the `timeseries` data stream and the first generation
backing index called `.ds-timeseries-000001`.
[source,console]
-----------------------
POST timeseries/_doc
{
"message": "logged the request",
"@timestamp": "1591890611"
}
-----------------------
// TEST[continued]
When a rollover condition in the lifecycle policy is met, the `rollover` action:
* Creates the second generation backing index, named `.ds-timeseries-000002`.
Because it is a backing index of the `timeseries` data stream, the configuration from the `timeseries_template` composable template is applied to the new index.
* As it is the latest generation index of the `timeseries` data stream, the newly created
backing index `.ds-timeseries-000002` becomes the data stream's write index.
This process repeats each time a rollover condition is met.
You can search across all of the data stream's backing indices, managed by the `timeseries_policy`,
with the `timeseries` data stream name.
Write operations are routed to the current write index. Read operations will be handled by all
backing indices.
[discrete]
[[ilm-gs-check-progress]]
=== Check lifecycle progress
To get status information for managed indices, you use the {ilm-init} explain API.
This lets you find out things like:
* What phase an index is in and when it entered that phase.
* The current action and what step is being performed.
* If any errors have occurred or progress is blocked.
For example, the following request gets information about the `timeseries` data stream's
backing indices:
[source,console]
--------------------------------------------------
GET .ds-timeseries-*/_ilm/explain
--------------------------------------------------
// TEST[continued]
The following response shows the data stream's first generation backing index is waiting for the `hot`
phase's `rollover` action.
It remains in this state and {ilm-init} continues to call `check-rollover-ready` until a rollover condition
is met.
// [[36818c6d9f434d387819c30bd9addb14]]
[source,console-result]
--------------------------------------------------
{
"indices": {
".ds-timeseries-000001": {
"index": ".ds-timeseries-000001",
"managed": true,
"policy": "timeseries_policy", <1>
"lifecycle_date_millis": 1538475653281,
"age": "30s", <2>
"phase": "hot",
"phase_time_millis": 1538475653317,
"action": "rollover",
"action_time_millis": 1538475653317,
"step": "check-rollover-ready", <3>
"step_time_millis": 1538475653317,
"phase_execution": {
"policy": "timeseries_policy",
"phase_definition": { <4>
"min_age": "0ms",
"actions": {
"rollover": {
"max_size": "50gb",
"max_age": "30d"
}
}
},
"version": 1,
"modified_date_in_millis": 1539609701576
}
}
}
}
--------------------------------------------------
// TESTRESPONSE[skip:no way to know if we will get this response immediately]
<1> The policy used to manage the index
<2> The age of the index
<3> The step {ilm-init} is performing on the index
<4> The definition of the current phase (the `hot` phase)
//////////////////////////
[source,console]
--------------------------------------------------
DELETE /_data_stream/timeseries
--------------------------------------------------
// TEST[continued]
//////////////////////////
//////////////////////////
[source,console]
--------------------------------------------------
DELETE /_index_template/timeseries_template
--------------------------------------------------
// TEST[continued]
//////////////////////////
[discrete]
[[manage-time-series-data-without-data-streams]]
=== Manage time-series data without data streams
Even though <<data-streams, data streams>> are a convenient way to scale
and manage time-series data, they are designed to be append-only. We recognise there
might be use-cases where data needs to be updated or deleted in place and the
data streams don't support delete and update requests directly,
so the index APIs would need to be used directly on the data stream's backing indices.
In these cases, you can use an index alias to manage indices containing the time-series data
and periodically roll over to a new index.
To automate rollover and management of time-series indices with {ilm-init} using an index
alias, you:
. Create a lifecycle policy that defines the appropriate phases and actions.
See <<ilm-gs-create-policy, Create a lifecycle policy>> above.
. <<ilm-gs-alias-apply-policy, Create an index template>> to apply the policy to each new index.
. <<ilm-gs-alias-bootstrap, Bootstrap an index>> as the initial write index.
. <<ilm-gs-alias-check-progress, Verify indices are moving through the lifecycle phases>>
as expected.
[discrete]
[[ilm-gs-alias-apply-policy]]
=== Create a legacy index template to apply the lifecycle policy
To automatically apply a lifecycle policy to the new write index on rollover, To automatically apply a lifecycle policy to the new write index on rollover,
specify the policy in the index template used to create new indices. specify the policy in the index template used to create new indices.
@ -143,8 +356,8 @@ DELETE /_template/timeseries_template
////////////////////////// //////////////////////////
[discrete] [discrete]
[[ilm-gs-bootstrap]] [[ilm-gs-alias-bootstrap]]
=== Bootstrap the initial time-series index === Bootstrap the initial time-series index with a write index alias
To get things started, you need to bootstrap an initial index and To get things started, you need to bootstrap an initial index and
designate it as the write index for the rollover alias specified in your index template. designate it as the write index for the rollover alias specified in your index template.
@ -178,17 +391,13 @@ You can search across all of the indices managed by the `timeseries_policy` with
Write operations are routed to the current write index. Write operations are routed to the current write index.
[discrete] [discrete]
[[ilm-gs-check-progress]] [[ilm-gs-alias-check-progress]]
=== Check lifecycle progress === Check lifecycle progress
To get status information for managed indices, you use the {ilm-init} explain API. Retrieving the status information for managed indices is very similar to the data stream case.
This lets you find out things like: See the data stream <<ilm-gs-check-progress, check progress section>> for more information.
The only difference is the indices namespace, so retrieving the progress will entail the following
* What phase an index is in and when it entered that phase. api call:
* The current action and what step is being performed.
* If any errors have occurred or progress is blocked.
For example, the following request gets information about the `timeseries` indices:
[source,console] [source,console]
-------------------------------------------------- --------------------------------------------------
@ -196,48 +405,11 @@ GET timeseries-*/_ilm/explain
-------------------------------------------------- --------------------------------------------------
// TEST[continued] // TEST[continued]
The response below shows that the bootstrap index is waiting in the `hot` phase's `rollover` action. //////////////////////////
It remains in this state and {ilm-init} continues to call `attempt-rollover`
until the rollover conditions are met.
// [[36818c6d9f434d387819c30bd9addb14]] [source,console]
[source,console-result]
-------------------------------------------------- --------------------------------------------------
{ DELETE /timeseries-000001
"indices": {
"timeseries-000001": {
"index": "timeseries-000001",
"managed": true,
"policy": "timeseries_policy", <1>
"lifecycle_date_millis": 1538475653281,
"age": "30s", <2>
"phase": "hot",
"phase_time_millis": 1538475653317,
"action": "rollover",
"action_time_millis": 1538475653317,
"step": "attempt-rollover", <3>
"step_time_millis": 1538475653317,
"phase_execution": {
"policy": "timeseries_policy",
"phase_definition": { <4>
"min_age": "0ms",
"actions": {
"rollover": {
"max_size": "50gb",
"max_age": "30d"
}
}
},
"version": 1,
"modified_date_in_millis": 1539609701576
}
}
}
}
-------------------------------------------------- --------------------------------------------------
// TESTRESPONSE[skip:no way to know if we will get this response immediately] // TEST[continued]
//////////////////////////
<1> The policy used to manage the index
<2> The age of the index
<3> The step {ilm-init} is performing on the index
<4> The definition of the current phase (the `hot` phase)

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@ -12,7 +12,23 @@ Using rolling indices enables you to:
* Shift older, less frequently accessed data to less expensive _cold_ nodes, * Shift older, less frequently accessed data to less expensive _cold_ nodes,
* Delete data according to your retention policies by removing entire indices. * Delete data according to your retention policies by removing entire indices.
Rollover relies on three things: We recommend using <<indices-create-data-stream, data streams>> to manage time-series
data. Data streams automatically track the write index while keeping configuration to a minimum.
Each data stream requires a <<indices-templates,composable index template>> that contains:
* A name or wildcard (`*`) pattern for the data stream.
* The data stream's timestamp field. This field must be mapped as a
<<date,`date`>> or <<date_nanos,`date_nanos`>> field datatype and must be
included in every document indexed to the data stream.
* The mappings and settings applied to each backing index when it's created.
Data streams are designed for append-only data, where the data stream name
can be used as the operations (read, write, rollover, shrink etc.) target.
If your use case requires data to be updated in place, you can instead manage your time-series data using <<indices-aliases, indices aliases>>. However, there are a few more configuration steps and
concepts:
* An _index template_ that specifies the settings for each new index in the series. * An _index template_ that specifies the settings for each new index in the series.
You optimize this configuration for ingestion, typically using as many shards as you have hot nodes. You optimize this configuration for ingestion, typically using as many shards as you have hot nodes.