[7.x] [DOCS] Update CCR docs to focus on Kibana. (#61237)
* First crack at rewriting the CCR introduction. * Emphasizing Kibana in configuring CCR (part one). * Many more edits, plus new files. * Fixing test case. * Removing overview page and consolidating that information in the main page. * Adding redirects for moved and deleted pages. * Removing, consolidating, and adding redirects. * Fixing duplicate ID in redirects and removing outdated reference. * Adding test case and steps for recreating a follower index. * Adding steps for managing CCR tasks in Kibana. * Adding tasks for managing auto-follow patterns. * Fixing glossary link. * Fixing glossary link, again. * Updating the upgrade information and other stuff. * Apply suggestions from code review * Incorporating review feedback. * Adding more edits. * Fixing link reference. * Adding use cases for #59812. * Incorporating feedback from reviewers. * Apply suggestions from code review * Incorporating more review comments. * Condensing some of the steps for accessing Kibana. * Incorporating small changes from reviewers.
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Adam Locke
GitHub
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@ -1,32 +1,82 @@
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[role="xpack"]
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[testenv="platinum"]
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[[ccr-auto-follow]]
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=== Automatically following indices
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=== Manage auto-follow patterns
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To replicate time series indices, you configure an auto-follow pattern so that
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each new index in the series is replicated automatically. Whenever the name of
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a new index on the remote cluster matches the auto-follow pattern, a
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corresponding follower index is added to the local cluster.
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In time series use cases where you want to follow new indices that are
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periodically created (such as daily Beats indices), manually configuring follower
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indices for each new leader index can be an operational burden. The auto-follow
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functionality in {ccr} is aimed at easing this burden. With the auto-follow
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functionality, you can specify that new indices in a remote cluster that have a
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name that matches a pattern are automatically followed.
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Auto-follow patterns are especially useful with
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<<index-lifecycle-management,{ilm-cap}>>, which might continually create
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new indices on the cluster containing the leader index.
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==== Managing auto-follow patterns
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[[ccr-access-ccr-auto-follow]]
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To start using {ccr} auto-follow patterns, access {kib} and go to
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*Management > Stack Management*. In the side navigation, select
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*Cross-Cluster Replication* and choose the *Auto-follow patterns* tab
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You can add a new auto-follow pattern configuration with the
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{ref}/ccr-put-auto-follow-pattern.html[create auto-follow pattern API]. When you create
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a new auto-follow pattern configuration, you are configuring a collection of
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patterns against a single remote cluster. Any time a new index with a name that
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matches one of the patterns in the collection is created in the remote cluster,
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a follower index is configured in the local cluster. The follower index uses the
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new index as its leader index.
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[[ccr-auto-follow-create]]
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==== Create auto-follow patterns
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When you <<ccr-getting-started-auto-follow,create an auto-follow pattern>>,
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you are configuring a collection of patterns against a single remote cluster.
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When an index is created in the remote cluster with a name that matches one of
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the patterns in the collection, a follower index is configured in the local
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cluster. The follower index uses the new index as its leader index.
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You can inspect all configured auto-follow pattern collections with the
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{ref}/ccr-get-auto-follow-pattern.html[get auto-follow pattern API]. Auto-follow patterns
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can be paused using the {ref}/ccr-pause-auto-follow-pattern.html[pause auto-follow pattern API]
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and can be resumed using the {ref}/ccr-resume-auto-follow-pattern.html[resume auto-follow pattern API].
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To delete a configured auto-follow pattern collection, use the
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{ref}/ccr-delete-auto-follow-pattern.html[delete auto-follow pattern API].
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[%collapsible]
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.Use the API
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====
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Use the <<ccr-put-auto-follow-pattern,create auto-follow pattern API>> to add a
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new auto-follow pattern configuration.
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====
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Since auto-follow functionality is handled automatically in the background on
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your behalf, error reporting is done through logs on the elected master node
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and through the {ref}/ccr-get-stats.html[{ccr} stats API].
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[[ccr-auto-follow-retrieve]]
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==== Retrieve auto-follow patterns
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To view existing auto-follow patterns and make changes to the backing
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patterns, <<ccr-access-ccr-auto-follow,access {kib}>> on your _remote_ cluster.
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Select the auto-follow pattern that you want to view details about. From there,
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you can make changes to the auto-follow pattern. You can also view your
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follower indices included in the auto-follow pattern.
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[%collapsible]
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.Use the API
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====
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Use the <<ccr-get-auto-follow-pattern,get auto-follow pattern API>> to inspect
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all configured auto-follow pattern collections.
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====
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[[ccr-auto-follow-pause]]
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==== Pause and resume auto-follow patterns
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To pause and resume replication of auto-follow pattern collections,
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<<ccr-access-ccr-auto-follow,access {kib}>>, select the auto-follow pattern,
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and pause replication.
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To resume replication, select the pattern and choose
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*Manage pattern > Resume replication*.
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[%collapsible]
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.Use the API
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====
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Use the <<ccr-pause-auto-follow-pattern,pause auto-follow pattern API>> to
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pause auto-follow patterns.
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Use the <<ccr-resume-auto-follow-pattern,resume auto-follow pattern API>> to
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resume auto-follow patterns.
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====
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[[ccr-auto-follow-delete]]
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==== Delete auto-follow patterns
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To delete an auto-follow pattern collection,
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<<ccr-access-ccr-auto-follow,access {kib}>>, select the auto-follow pattern,
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and pause replication.
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When the pattern status changes to Paused, choose
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*Manage pattern > Delete pattern*.
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[%collapsible]
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.Use the API
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====
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Use the <<ccr-delete-auto-follow-pattern,delete auto-follow pattern API>> to
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delete a configured auto-follow pattern collection.
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====
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@ -1,47 +1,39 @@
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[role="xpack"]
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[testenv="platinum"]
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[[ccr-getting-started]]
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=== Getting started with {ccr}
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=== Set up {ccr}
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You can manually create follower indices to replicate specific indices on a
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remote cluster, or configure auto-follow patterns to automatically create
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follower indices for new time series.
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This getting-started guide for {ccr} shows you how to:
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After the follower index is created, the
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<<ccr-remote-recovery, remote recovery>> process copies all of the Lucene
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segment files from the remote cluster to the local cluster.
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* <<ccr-getting-started-remote-cluster,Connect a local cluster to a remote
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cluster>>
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* <<ccr-getting-started-leader-index,Create a leader index>> in a remote cluster
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* <<ccr-getting-started-follower-index,Create a follower index>> that replicates
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a leader index
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* <<ccr-getting-started-auto-follow,Automatically create follower indices>>
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To set up {ccr}:
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. <<ccr-getting-started-remote-cluster,Connect a local cluster to a remote cluster>>
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. <<ccr-getting-started-leader-index,Identify the index (or time series indices) you want to replicate on the remote cluster>>
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. <<ccr-enable-soft-deletes,Enable soft deletes on the leader index>>
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. Manually create a follower index or create an auto-follow pattern:
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* To replicate the leader index, <<ccr-getting-started-follower-index,manually create a follower index>>
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* To automatically follow time series indices, <<ccr-getting-started-auto-follow,create an auto-follow pattern>>
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[[ccr-getting-started-before-you-begin]]
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==== Before you begin
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. {stack-gs}/get-started-elastic-stack.html#install-elasticsearch[Install {es}]
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on your local and remote clusters.
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. Obtain a license that includes the {ccr} features. See
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https://www.elastic.co/subscriptions[subscriptions] and
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{kibana-ref}/managing-licenses.html[License management].
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. If the Elastic {security-features} are enabled in your local and remote
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clusters, you need a user that has appropriate authority to perform the steps
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[[ccr-getting-started-prerequisites]]
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==== Prerequisites
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If the Elastic {security-features} are enabled in your local and remote
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clusters, you need a user with appropriate authority to complete the steps
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in this tutorial.
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+
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--
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[[ccr-getting-started-security]]
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The {ccr} features use cluster privileges and built-in roles to make it easier
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to control which users have authority to manage {ccr}.
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By default, you can perform all of the steps in this tutorial by
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using the built-in `elastic` user. However, a password must be set for this user
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before the user can do anything. For information about how to set that password,
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see <<security-getting-started>>.
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By default, you can complete the following steps as the built-in
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`elastic` user. However, you must <<get-started-built-in-users,set a password>>
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for this user before proceeding.
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If you are performing these steps in a production environment, take extra care
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because the `elastic` user has the `superuser` role and you could inadvertently
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make significant changes.
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WARNING: If you are performing these steps in a production environment, do
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not use the `elastic` user.
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Alternatively, you can assign the appropriate privileges to a user ID of your
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choice. On the remote cluster that contains the leader index, a user will need
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choice. On the remote cluster that contains the leader index, a user must have
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the `read_ccr` cluster privilege and `monitor` and `read` privileges on the
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leader index.
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@ -76,19 +68,31 @@ ccr_user:
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--------------------------------------------------
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If you are managing
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<<ccr-getting-started-remote-cluster,connecting to the remote cluster>> via the
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cluster update settings API, you will also need a user with the `all` cluster
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privilege.
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--
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<<ccr-getting-started-remote-cluster,connecting to the remote cluster>> using
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the cluster update settings API, you will also need a user with the `all`
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cluster privilege.
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[[ccr-getting-started-remote-cluster]]
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==== Connecting to a remote cluster
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==== Connect to a remote cluster
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Connect your local cluster to a
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<<modules-remote-clusters,remote cluster>> to begin using cross-cluster
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replication.
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The {ccr} features require that you
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{ref}/modules-remote-clusters.html[connect your local cluster to a remote
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cluster]. In this tutorial, we will connect our local cluster to a remote
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cluster with the cluster alias `leader`.
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To configure a {kibana-ref}/working-remote-clusters.html[remote cluster],
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access {kib} and go to
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*Management > Stack Management*. In the side navigation, select
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*Remote Clusters*.
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Add a remote cluster by specifying the IP address or host name, followed by the
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transport port of the remote cluster.
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[role="screenshot"]
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image::images/ccr-add-remote-cluster.png["The Add remote clusters page in {kib}"]
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[%collapsible]
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.API example
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====
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Use the <<cluster-update-settings,cluster update settings API>> to add a remote cluster:
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[source,console]
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--------------------------------------------------
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@ -147,20 +151,19 @@ remote cluster.
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alias `leader`
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<2> This shows the number of nodes in the remote cluster the local cluster is
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connected to.
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Alternatively, you can manage remote clusters on the
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*Management / Elasticsearch / Remote Clusters* page in {kib}:
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[role="screenshot"]
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image::images/remote-clusters.jpg["The Remote Clusters page in {kib}"]
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====
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[[ccr-getting-started-leader-index]]
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==== Creating a leader index
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==== Create a leader index
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To create a leader index, access {kib} on your _remote_ cluster and go to
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*Management > Dev Tools*.
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In the following example, we will create a leader index in the remote cluster:
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Copy the following example into the Console to create a leader index named
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`server-metrics` in your remote cluster:
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[%collapsible]
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.Leader index example
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====
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[source,console]
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--------------------------------------------------
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PUT /server-metrics
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@ -199,20 +202,68 @@ PUT /server-metrics
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}
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--------------------------------------------------
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// TEST[continued]
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====
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[[ccr-enable-soft-deletes]]
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==== Enable soft deletes on leader indices
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<<ccr-leader-requirements,Soft deletes>> must be enabled for indices that you want to
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use as leader indices. Soft deletes are enabled by default on new indices
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created on or after {es} 7.0.0, so
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*no further action is required if your cluster is running {es} 7.0.0 or later*.
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include::{es-ref-dir}/ccr/index.asciidoc[tag=ccr-existing-indices-tag]
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To enable soft deletes on indices created on versions of
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{es} between 6.5.0 and 7.0.0, set <<ccr-index-soft-deletes,`index.soft_deletes.enabled`>> to `true`.
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[[ccr-getting-started-follower-index]]
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==== Creating a follower index
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Follower indices are created with the {ref}/ccr-put-follow.html[create follower
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API]. When you create a follower index, you must reference the
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==== Create a follower index
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When you create a {kibana-ref}/managing-cross-cluster-replication.html#_create_specific_follower_indices[follower index], you
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must reference the
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<<ccr-getting-started-remote-cluster,remote cluster>> and the
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<<ccr-getting-started-leader-index,leader index>> that you created in the remote
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cluster.
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To create a follower index, access {kib} and go to
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*Management > Stack Management*. In the side navigation, select
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*Cross-Cluster Replication* and choose the *Follower Indices* tab.
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. Choose the remote cluster containing the index you want to replicate, which
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is `leader` if you are following the tutorial.
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. Enter the name of the leader index, which is `server-metrics` if you are
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following the tutorial.
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image::images/ccr-add-follower-index.png["Adding a follower index named server-metrics in {kib}"]
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The follower index is initialized using the
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<<ccr-remote-recovery, remote recovery>>
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process, which transfers the existing Lucene segment files from the leader
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index to the follower index. The index status changes to *Paused*. When the
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remote recovery process is complete, the index following begins and the status
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changes to *Active*.
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When you index documents into your leader index, the documents are replicated
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in the follower index.
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[role="screenshot"]
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image::images/ccr-follower-index.png["The Cross-Cluster Replication page in {kib}"]
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[%collapsible]
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.API example
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====
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Use the <<ccr-put-follow,create follower API>> to create follower indices.
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When you create a follower index, you must reference the
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<<ccr-getting-started-remote-cluster,remote cluster>> and the
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<<ccr-getting-started-leader-index,leader index>> that you created in the
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remote cluster.
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When initiating the follower request, the response returns before the
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<<ccr-remote-recovery, remote recovery>> process completes. To wait for the process
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to complete, add the `wait_for_active_shards` parameter to your request.
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[source,console]
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--------------------------------------------------
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PUT /server-metrics-copy/_ccr/follow?wait_for_active_shards=1
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PUT /server-metrics-follower/_ccr/follow?wait_for_active_shards=1
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{
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"remote_cluster" : "leader",
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"leader_index" : "server-metrics"
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@ -233,44 +284,65 @@ PUT /server-metrics-copy/_ccr/follow?wait_for_active_shards=1
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//////////////////////////
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The follower index is initialized using the <<remote-recovery, remote recovery>>
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process. The remote recovery process transfers the existing Lucene segment files
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from the leader to the follower. When the remote recovery process is complete,
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the index following begins.
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Now when you index documents into your leader index, you will see these
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documents replicated in the follower index. You can
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inspect the status of replication using the
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{ref}/ccr-get-follow-stats.html[get follower stats API].
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Use the
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<<ccr-get-follow-stats,get follower stats API>> to inspect the status of
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replication
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//////////////////////////
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[source,console]
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--------------------------------------------------
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POST /server-metrics-copy/_ccr/pause_follow
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POST /server-metrics-follower/_ccr/pause_follow
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POST /server-metrics-copy/_close
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POST /server-metrics-follower/_close
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POST /server-metrics-copy/_ccr/unfollow
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POST /server-metrics-follower/_ccr/unfollow
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--------------------------------------------------
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// TEST[continued]
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//////////////////////////
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====
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[[ccr-getting-started-auto-follow]]
|
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==== Automatically create follower indices
|
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Create <<ccr-auto-follow,auto-follow patterns>> to automatically follow time
|
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series indices that are periodically created in a remote cluster (such as daily
|
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{beats} indices).
|
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|
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The <<ccr-auto-follow,auto-follow>> feature in {ccr} helps for time series use
|
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cases where you want to follow new indices that are periodically created in the
|
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remote cluster (such as daily Beats indices). Auto-following is configured using
|
||||
the {ref}/ccr-put-auto-follow-pattern.html[create auto-follow pattern API]. With
|
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an auto-follow pattern, you reference the
|
||||
<<ccr-getting-started-remote-cluster,remote cluster>> that you connected your
|
||||
local cluster to. You must also specify a collection of patterns that match the
|
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With an auto-follow pattern, you reference the
|
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<<ccr-getting-started-remote-cluster,remote cluster>> connected to your
|
||||
local cluster. You must also specify a collection of patterns that match the
|
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indices you want to automatically follow.
|
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|
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For example:
|
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// tag::ccr-create-auto-follow-pattern-tag[]
|
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To create follower indices from an {kibana-ref}/managing-cross-cluster-replication.html#_create_follower_indices_from_an_auto_follow_pattern[auto-follow pattern],
|
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access {kib} on your remote cluster and go to
|
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*Management > Stack Management*. In the side navigation, select
|
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*Cross Cluster Replication* and choose the *Auto-follow patterns* tab.
|
||||
|
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[role="screenshot"]
|
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image::images/auto-follow-patterns.png["The Auto-follow patterns page in {kib}"]
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|
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* Enter a name for the auto-follow pattern. For this tutorial, enter `beats`
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as the name.
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* Choose the remote cluster containing the index you want to replicate, which
|
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is `leader` if you are following the tutorial.
|
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* Enter one or more index patterns that identify the indices you want to
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replicate from the remote cluster. For this tutorial, enter
|
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`metricbeat-*,packetbeat-*` as the index pattern.
|
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* Enter *copy-* as the prefix to apply to the names of the follower indices so
|
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you can more easily identify replicated indices.
|
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|
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As new indices matching these patterns are
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created, they are replicated to the follower indices.
|
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|
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// end::ccr-create-auto-follow-pattern-tag[]
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|
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[%collapsible]
|
||||
.API example
|
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====
|
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Use the <<ccr-put-auto-follow-pattern,create auto-follow pattern API>> to
|
||||
configure auto-follow patterns.
|
||||
|
||||
[source,console]
|
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--------------------------------------------------
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|
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@ -311,9 +383,4 @@ DELETE /_ccr/auto_follow/beats
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// TEST[continued]
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|
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//////////////////////////
|
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|
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Alternatively, you can manage auto-follow patterns on the
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||||
*Management / Elasticsearch / Cross Cluster Replication* page in {kib}:
|
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|
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[role="screenshot"]
|
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image::images/auto-follow-patterns.jpg["The Auto-follow patterns page in {kib}"]
|
||||
====
|
||||
|
|
|
|||
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|
|
@ -2,28 +2,301 @@
|
|||
[testenv="platinum"]
|
||||
[[xpack-ccr]]
|
||||
== {ccr-cap}
|
||||
With {ccr}, you can replicate indices across clusters to:
|
||||
|
||||
The {ccr} (CCR) feature enables replication of indices in remote clusters to a
|
||||
local cluster. This functionality can be used in some common production use
|
||||
cases:
|
||||
* Continue handling search requests in the event of a datacenter outage
|
||||
* Prevent search volume from impacting indexing throughput
|
||||
* Reduce search latency by processing search requests in geo-proximity to the
|
||||
user
|
||||
|
||||
* Disaster recovery in case a primary cluster fails. A secondary cluster can
|
||||
serve as a hot backup
|
||||
* Geo-proximity so that reads can be served locally
|
||||
* Prevent search load from interfering with indexing by offloading search to a secondary cluster
|
||||
{ccr-cap} uses an active-passive model. You index to a _leader_ index, and the
|
||||
data is replicated to one or more read-only _follower_ indices. Before you can add a follower index to a cluster, you must configure the _remote cluster_ that contains the leader index.
|
||||
|
||||
This guide provides an overview of {ccr}:
|
||||
When the leader index receives writes, the follower indices pull changes from
|
||||
the leader index on the remote cluster. You can manually create follower
|
||||
indices, or configure auto-follow patterns to automatically create follower
|
||||
indices for new time series indices.
|
||||
|
||||
You configure {ccr} clusters in a uni-directional or bi-directional setup:
|
||||
|
||||
* In a uni-directional configuration, one cluster contains only
|
||||
leader indices, and the other cluster contains only follower indices.
|
||||
* In a bi-directional configuration, each cluster contains both leader and
|
||||
follower indices.
|
||||
|
||||
In a uni-directional configuration, the cluster containing follower indices
|
||||
must be running **the same or newer** version of {es} as the remote cluster.
|
||||
If newer, the versions must also be compatible as outlined in the following matrix.
|
||||
|
||||
[%collapsible]
|
||||
[[ccr-version-compatibility]]
|
||||
.Version compatibility matrix
|
||||
====
|
||||
include::../modules/remote-clusters.asciidoc[tag=remote-cluster-compatibility-matrix]
|
||||
====
|
||||
|
||||
[discrete]
|
||||
[[ccr-multi-cluster-architectures]]
|
||||
=== Multi-cluster architectures
|
||||
Use {ccr} to construct several multi-cluster architectures within the Elastic
|
||||
Stack:
|
||||
|
||||
* <<ccr-disaster-recovery,Disaster recovery>> in case a primary cluster fails,
|
||||
with a secondary cluster serving as a hot backup
|
||||
* <<ccr-data-locality,Data locality>> to maintain multiple copies of the
|
||||
dataset close to the application servers (and users), and reduce costly latency
|
||||
* <<ccr-centralized-reporting,Centralized reporting>> for minimizing network
|
||||
traffic and latency in querying multiple geo-distributed {es} clusters, or for
|
||||
preventing search load from interfering with indexing by offloading search to a
|
||||
secondary cluster
|
||||
|
||||
Watch the
|
||||
https://www.elastic.co/webinars/replicate-elasticsearch-data-with-cross-cluster-replication-ccr[{ccr} webinar] to learn more about the following use cases.
|
||||
Then, <<ccr-getting-started,set up {ccr}>> on your local machine and work
|
||||
through the demo from the webinar.
|
||||
|
||||
[discrete]
|
||||
[[ccr-disaster-recovery]]
|
||||
==== Disaster recovery and high availability
|
||||
Disaster recovery provides your mission-critical applications with the
|
||||
tolerance to withstand datacenter or region outages. This use case is the
|
||||
most common deployment of {ccr}. You can configure clusters in different
|
||||
architectures to support disaster recovery and high availability:
|
||||
|
||||
* <<ccr-single-datacenter-recovery>>
|
||||
* <<ccr-multiple-datacenter-recovery>>
|
||||
* <<ccr-chained-replication>>
|
||||
* <<ccr-bi-directional-replication>>
|
||||
|
||||
[discrete]
|
||||
[[ccr-single-datacenter-recovery]]
|
||||
===== Single disaster recovery datacenter
|
||||
In this configuration, data is replicated from the production datacenter to the
|
||||
disaster recovery datacenter. Because the follower indices replicate the leader
|
||||
index, your application can use the disaster recovery datacenter if the
|
||||
production datacenter is unavailable.
|
||||
|
||||
image::images/ccr-arch-disaster-recovery.png[Production datacenter that replicates data to a disaster recovery datacenter]
|
||||
|
||||
[discrete]
|
||||
[[ccr-multiple-datacenter-recovery]]
|
||||
===== Multiple disaster recovery datacenters
|
||||
You can replicate data from one datacenter to multiple datacenters. This
|
||||
configuration provides both disaster recovery and high availability, ensuring
|
||||
that data is replicated in two datacenters if the primary datacenter is down
|
||||
or unavailable.
|
||||
|
||||
In the following diagram, data from Datacenter A is replicated to
|
||||
Datacenter B and Datacenter C, which both have a read-only copy of the leader
|
||||
index from Datacenter A.
|
||||
|
||||
image::images/ccr-arch-multiple-dcs.png[Production datacenter that replicates data to two other datacenters]
|
||||
|
||||
[discrete]
|
||||
[[ccr-chained-replication]]
|
||||
===== Chained replication
|
||||
You can replicate data across multiple datacenters to form a replication
|
||||
chain. In the following diagram, Datacenter A contains the leader index.
|
||||
Datacenter B replicates data from Datacenter A, and Datacenter C replicates
|
||||
from the follower indices in Datacenter B. The connection between these
|
||||
datacenters forms a chained replication pattern.
|
||||
|
||||
image::images/ccr-arch-chain-dcs.png[Three datacenters connected to form a replication chain]
|
||||
|
||||
[discrete]
|
||||
[[ccr-bi-directional-replication]]
|
||||
===== Bi-directional replication
|
||||
In a https://www.elastic.co/blog/bi-directional-replication-with-elasticsearch-cross-cluster-replication-ccr[bi-directional replication] setup, all clusters have access to view
|
||||
all data, and all clusters have an index to write to without manually
|
||||
implementing failover. Applications can write to the local index within each
|
||||
datacenter, and read across multiple indices for a global view of all
|
||||
information.
|
||||
|
||||
This configuration requires no manual intervention when a cluster or datacenter
|
||||
is unavailable. In the following diagram, if Datacenter A is unavailable, you can continue using Datacenter B without manual failover. When Datacenter A
|
||||
comes online, replication resumes between the clusters.
|
||||
|
||||
image::images/ccr-arch-bi-directional.png[Bi-directional configuration where each cluster contains both a leader index and follower indices]
|
||||
|
||||
NOTE: This configuration is useful for index-only workloads, where no updates
|
||||
to document values occur. In this configuration, documents indexed by {es} are
|
||||
immutable. Clients are located in each datacenter alongside the {es}
|
||||
cluster, and do not communicate with clusters in different datacenters.
|
||||
|
||||
[discrete]
|
||||
[[ccr-data-locality]]
|
||||
==== Data locality
|
||||
Bringing data closer to your users or application server can reduce latency
|
||||
and response time. This methodology also applies when replicating data in {es}.
|
||||
For example, you can replicate a product catalog or reference dataset to 20 or
|
||||
more datacenters around the world to minimize the distance between the data and
|
||||
the application server.
|
||||
|
||||
In the following diagram, data is replicated from one datacenter to three
|
||||
additional datacenters, each in their own region. The central datacenter
|
||||
contains the leader index, and the additional datacenters contain follower
|
||||
indices that replicate data in that particular region. This configuration
|
||||
puts data closer to the application accessing it.
|
||||
|
||||
image::images/ccr-arch-data-locality.png[A centralized datacenter replicated across three other datacenters, each in their own region]
|
||||
|
||||
[discrete]
|
||||
[[ccr-centralized-reporting]]
|
||||
==== Centralized reporting
|
||||
Using a centralized reporting cluster is useful when querying across a large
|
||||
network is inefficient. In this configuration, you replicate data from many
|
||||
smaller clusters to the centralized reporting cluster.
|
||||
|
||||
For example, a large global bank might have 100 {es} clusters around the world
|
||||
that are distributed across different regions for each bank branch. Using
|
||||
{ccr}, the bank can replicate events from all 100 banks to a central cluster to
|
||||
analyze and aggregate events locally for reporting. Rather than maintaining a
|
||||
mirrored cluster, the bank can use {ccr} to replicate specific indices.
|
||||
|
||||
In the following diagram, data from three datacenters in different regions is
|
||||
replicated to a centralized reporting cluster. This configuration enables you
|
||||
to copy data from regional hubs to a central cluster, where you can run all
|
||||
reports locally.
|
||||
|
||||
image::images/ccr-arch-central-reporting.png[Three clusters in different regions sending data to a centralized reporting cluster for analysis]
|
||||
|
||||
[discrete]
|
||||
[[ccr-replication-mechanics]]
|
||||
=== Replication mechanics
|
||||
Although you <<ccr-getting-started,set up {ccr}>> at the index level, {es}
|
||||
achieves replication at the shard level. When a follower index is created,
|
||||
each shard in that index pulls changes from its corresponding shard in the
|
||||
leader index, which means that a follower index has the same number of
|
||||
shards as its leader index. All operations on the leader are replicated by the
|
||||
follower, such as operations to create, update, or delete a document.
|
||||
These requests can be served from any copy of the leader shard (primary or
|
||||
replica).
|
||||
|
||||
When a follower shard sends a read request, the leader shard responds with
|
||||
any new operations, limited by the read parameters that you establish when
|
||||
configuring the follower index. If no new operations are available, the
|
||||
leader shard waits up to the configured timeout for new operations. If the
|
||||
timeout elapses, the leader shard responds to the follower shard that there
|
||||
are no new operations. The follower shard updates shard statistics and
|
||||
immediately sends another read request to the leader shard. This
|
||||
communication model ensures that network connections between the remote
|
||||
cluster and the local cluster are continually in use, avoiding forceful
|
||||
termination by an external source such as a firewall.
|
||||
|
||||
If a read request fails, the cause of the failure is inspected. If the
|
||||
cause of the failure is deemed to be recoverable (such as a network
|
||||
failure), the follower shard enters into a retry loop. Otherwise, the
|
||||
follower shard pauses
|
||||
<<ccr-pause-replication,until you resume it>>.
|
||||
|
||||
When a follower shard receives operations from the leader shard, it places
|
||||
those operations in a write buffer. The follower shard submits bulk write
|
||||
requests using operations from the write buffer. If the write buffer exceeds
|
||||
its configured limits, no additional read requests are sent. This configuration
|
||||
provides a back-pressure against read requests, allowing the follower shard
|
||||
to resume sending read requests when the write buffer is no longer full.
|
||||
|
||||
To manage how operations are replicated from the leader index, you can
|
||||
configure settings when
|
||||
<<ccr-getting-started-follower-index,creating the follower index>>.
|
||||
|
||||
The follower index automatically retrieves some updates applied to the leader
|
||||
index, while other updates are retrieved as needed:
|
||||
|
||||
[cols="3"]
|
||||
|===
|
||||
h| Update type h| Automatic h| As needed
|
||||
| Alias | {yes-icon} | {no-icon}
|
||||
| Mapping | {no-icon} | {yes-icon}
|
||||
| Settings | {no-icon} | {yes-icon}
|
||||
|===
|
||||
|
||||
For example, changing the number of replicas on the leader index is not
|
||||
replicated by the follower index, so that setting might not be retrieved.
|
||||
|
||||
NOTE: You cannot manually modify a follower index's mappings or aliases.
|
||||
|
||||
If you apply a non-dynamic settings change to the leader index that is
|
||||
needed by the follower index, the follower index closes itself, applies the
|
||||
settings update, and then re-opens itself. The follower index is unavailable
|
||||
for reads and cannot replicate writes during this cycle.
|
||||
|
||||
[discrete]
|
||||
[[ccr-remote-recovery]]
|
||||
=== Initializing followers using remote recovery
|
||||
When you create a follower index, you cannot use it until it is fully
|
||||
initialized. The _remote recovery_ process builds a new copy of a shard on a
|
||||
follower node by copying data from the primary shard in the leader cluster.
|
||||
|
||||
{es} uses this remote recovery process to bootstrap a follower index using the
|
||||
data from the leader index. This process provides the follower with a copy of
|
||||
the current state of the leader index, even if a complete history of changes
|
||||
is not available on the leader due to Lucene segment merging.
|
||||
|
||||
Remote recovery is a network intensive process that transfers all of the Lucene
|
||||
segment files from the leader cluster to the follower cluster. The follower
|
||||
requests that a recovery session be initiated on the primary shard in the
|
||||
leader cluster. The follower then requests file chunks concurrently from the
|
||||
leader. By default, the process concurrently requests five 1MB file
|
||||
chunks. This default behavior is designed to support leader and follower
|
||||
clusters with high network latency between them.
|
||||
|
||||
TIP: You can modify dynamic <<ccr-recovery-settings,remote recovery settings>>
|
||||
to rate-limit the transmitted data and manage the resources consumed by remote
|
||||
recoveries.
|
||||
|
||||
Use the <<cat-recovery,recovery API>> on the cluster containing the follower
|
||||
index to obtain information about an in-progress remote recovery. Because {es}
|
||||
implements remote recoveries using the
|
||||
<<snapshot-restore,snapshot and restore>> infrastructure, running remote
|
||||
recoveries are labelled as type `snapshot` in the recovery API.
|
||||
|
||||
[discrete]
|
||||
[[ccr-leader-requirements]]
|
||||
=== Replicating a leader requires soft deletes
|
||||
{ccr-cap} works by replaying the history of individual write
|
||||
operations that were performed on the shards of the leader index. {es} needs to
|
||||
retain the
|
||||
<<index-modules-history-retention,history of these operations>> on the leader
|
||||
shards so that they can be pulled by the follower shard tasks. The underlying
|
||||
mechanism used to retain these operations is _soft deletes_.
|
||||
|
||||
A soft delete occurs whenever an existing document is deleted or updated. By
|
||||
retaining these soft deletes up to configurable limits, the history of
|
||||
operations can be retained on the leader shards and made available to the
|
||||
follower shard tasks as it replays the history of operations.
|
||||
|
||||
The <<ccr-index-soft-deletes-retention-period,`index.soft_deletes.retention_lease.period`>> setting defines the
|
||||
maximum time to retain a shard history retention lease before it is
|
||||
considered expired. This setting determines how long the cluster containing
|
||||
your leader index can be offline, which is 12 hours by default. If a shard copy
|
||||
recovers after its retention lease expires, then {es} will fall back to copying
|
||||
the entire index, because it can no longer replay the missing history.
|
||||
|
||||
Soft deletes must be enabled for indices that you want to use as leader
|
||||
indices. Soft deletes are enabled by default on new indices created on
|
||||
or after {es} 7.0.0.
|
||||
|
||||
// tag::ccr-existing-indices-tag[]
|
||||
IMPORTANT: {ccr-cap} cannot be used on existing indices created using {es}
|
||||
7.0.0 or earlier, where soft deletes are disabled. You must
|
||||
<<docs-reindex,reindex>> your data into a new index with soft deletes
|
||||
enabled.
|
||||
|
||||
// end::ccr-existing-indices-tag[]
|
||||
|
||||
[discrete]
|
||||
[[ccr-learn-more]]
|
||||
=== Use {ccr}
|
||||
This following sections provide more information about how to configure
|
||||
and use {ccr}:
|
||||
|
||||
* <<ccr-overview>>
|
||||
* <<ccr-requirements>>
|
||||
* <<ccr-auto-follow>>
|
||||
* <<ccr-getting-started>>
|
||||
* <<ccr-managing>>
|
||||
* <<ccr-auto-follow>>
|
||||
* <<ccr-upgrading>>
|
||||
|
||||
|
||||
include::overview.asciidoc[]
|
||||
include::requirements.asciidoc[]
|
||||
include::auto-follow.asciidoc[]
|
||||
include::getting-started.asciidoc[]
|
||||
include::remote-recovery.asciidoc[]
|
||||
include::managing.asciidoc[]
|
||||
include::auto-follow.asciidoc[]
|
||||
include::upgrading.asciidoc[]
|
||||
|
|
|
|||
|
|
@ -0,0 +1,164 @@
|
|||
[role="xpack"]
|
||||
[testenv="platinum"]
|
||||
|
||||
//////////////////////////
|
||||
|
||||
[source,console]
|
||||
--------------------------------------------------
|
||||
PUT /follower_index/_ccr/follow?wait_for_active_shards=1
|
||||
{
|
||||
"remote_cluster" : "remote_cluster",
|
||||
"leader_index" : "leader_index"
|
||||
}
|
||||
--------------------------------------------------
|
||||
// TESTSETUP
|
||||
// TEST[setup:remote_cluster_and_leader_index]
|
||||
|
||||
[source,console]
|
||||
--------------------------------------------------
|
||||
POST /follower_index/_ccr/pause_follow
|
||||
--------------------------------------------------
|
||||
// TEARDOWN
|
||||
|
||||
//////////////////////////
|
||||
|
||||
[[ccr-managing]]
|
||||
=== Manage {ccr}
|
||||
Use the following information to manage {ccr} tasks, such as inspecting
|
||||
replication progress, pausing and resuming replication, recreating a follower
|
||||
index, and terminating replication.
|
||||
|
||||
[[ccr-access-ccr]]
|
||||
To start using {ccr}, access {kib} and go to
|
||||
*Management > Stack Management*. In the side navigation, select
|
||||
*Cross-Cluster Replication*.
|
||||
|
||||
[[ccr-inspect-progress]]
|
||||
==== Inspect replication statistics
|
||||
To inspect the progress of replication for a follower index and view
|
||||
detailed shard statistics, <<ccr-access-ccr,access Cross-Cluster Replication>> and choose the *Follower indices* tab.
|
||||
|
||||
Select the name of the follower index you want to view replication details
|
||||
for. The slide-out panel shows settings and replication statistics for the
|
||||
follower index, including read and write operations that are managed by the
|
||||
follower shard.
|
||||
|
||||
To view more detailed statistics, click *View in Index Management*, and
|
||||
then select the name of the follower index in Index Management.
|
||||
Open the tabs for detailed statistics about the follower index.
|
||||
|
||||
[%collapsible]
|
||||
.API example
|
||||
====
|
||||
Use the <<ccr-get-follow-stats,get follower stats API>> to inspect replication
|
||||
progress at the shard level. This API provides insight into the read and writes
|
||||
managed by the follower shard. The API also reports read exceptions that can be
|
||||
retried and fatal exceptions that require user intervention.
|
||||
====
|
||||
|
||||
[[ccr-pause-replication]]
|
||||
==== Pause and resume replication
|
||||
To pause and resume replication of the leader index, <<ccr-access-ccr,access Cross-Cluster Replication>> and choose the *Follower indices* tab.
|
||||
|
||||
Select the follower index you want to pause and choose *Manage > Pause Replication*. The follower index status changes to Paused.
|
||||
|
||||
To resume replication, select the follower index and choose
|
||||
*Resume replication*.
|
||||
|
||||
[%collapsible]
|
||||
.API example
|
||||
====
|
||||
You can pause replication with the
|
||||
<<ccr-post-pause-follow,pause follower API>> and then later resume
|
||||
replication with the <<ccr-post-resume-follow,resume follower API>>.
|
||||
Using these APIs in tandem enables you to adjust the read and write parameters
|
||||
on the follower shard task if your initial configuration is not suitable for
|
||||
your use case.
|
||||
====
|
||||
|
||||
[[ccr-recreate-follower-index]]
|
||||
==== Recreate a follower index
|
||||
When a document is updated or deleted, the underlying operation is retained in
|
||||
the Lucene index for a period of time defined by the
|
||||
<<ccr-index-soft-deletes-retention-period,`index.soft_deletes.retention_lease.period`>> parameter. You configure
|
||||
this setting on the <<ccr-leader-requirements,leader index>>.
|
||||
|
||||
When a follower index starts, it acquires a retention lease from
|
||||
the leader index. This lease informs the leader that it should not allow a soft
|
||||
delete to be pruned until either the follower indicates that it has received
|
||||
the operation, or until the lease expires.
|
||||
|
||||
If a follower index falls sufficiently behind a leader and cannot
|
||||
replicate operations, {es} reports an `indices[].fatal_exception` error. To
|
||||
resolve the issue, recreate the follower index. When the new follow index
|
||||
starts, the <<ccr-remote-recovery, remote recovery>> process recopies the
|
||||
Lucene segment files from the leader.
|
||||
|
||||
IMPORTANT: Recreating the follower index is a destructive action. All existing
|
||||
Lucene segment files are deleted on the cluster containing the follower index.
|
||||
|
||||
To recreate a follower index,
|
||||
<<ccr-access-ccr,access Cross-Cluster Replication>> and choose the
|
||||
*Follower indices* tab.
|
||||
|
||||
[role="screenshot"]
|
||||
image::images/ccr-follower-index.png["The Cross-Cluster Replication page in {kib}"]
|
||||
|
||||
Select the follower index and pause replication. When the follower index status
|
||||
changes to Paused, reselect the follower index and choose to unfollow the
|
||||
leader index.
|
||||
|
||||
The follower index will be converted to a standard index and will no longer
|
||||
display on the Cross-Cluster Replication page.
|
||||
|
||||
In the side navigation, choose *Index Management*. Select the follower index
|
||||
from the previous steps and close the follower index.
|
||||
|
||||
You can then <<ccr-getting-started-follower-index,recreate the follower index>>
|
||||
to restart the replication process.
|
||||
|
||||
[%collapsible]
|
||||
.Use the API
|
||||
====
|
||||
Use the <<ccr-post-pause-follow,pause follow API>> to pause the replication
|
||||
process. Then, close the follower index and recreate it. For example:
|
||||
|
||||
[source,console]
|
||||
----------------------------------------------------------------------
|
||||
POST /follower_index/_ccr/pause_follow
|
||||
|
||||
POST /follower_index/_close
|
||||
|
||||
PUT /follower_index/_ccr/follow?wait_for_active_shards=1
|
||||
{
|
||||
"remote_cluster" : "remote_cluster",
|
||||
"leader_index" : "leader_index"
|
||||
}
|
||||
----------------------------------------------------------------------
|
||||
====
|
||||
|
||||
[[ccr-terminate-replication]]
|
||||
==== Terminate replication
|
||||
You can unfollow a leader index to terminate replication and convert the
|
||||
follower index to a standard index.
|
||||
|
||||
<<ccr-access-ccr,Access Cross-Cluster Replication>> and choose the
|
||||
*Follower indices* tab.
|
||||
|
||||
Select the follower index and pause replication. When the follower index status
|
||||
changes to Paused, reselect the follower index and choose to unfollow the
|
||||
leader index.
|
||||
|
||||
The follower index will be converted to a standard index and will no longer
|
||||
display on the Cross-Cluster Replication page.
|
||||
|
||||
You can then choose *Index Management*, select the follower index
|
||||
from the previous steps, and close the follower index.
|
||||
|
||||
[%collapsible]
|
||||
.Use the API
|
||||
====
|
||||
You can terminate replication with the
|
||||
<<ccr-post-unfollow,unfollow API>>. This API converts a follower index
|
||||
to a standard (non-follower) index.
|
||||
====
|
||||
|
|
@ -1,228 +0,0 @@
|
|||
[role="xpack"]
|
||||
[testenv="platinum"]
|
||||
[[ccr-overview]]
|
||||
=== Overview
|
||||
|
||||
|
||||
{ccr-cap} is done on an index-by-index basis. Replication is
|
||||
configured at the index level. For each configured replication there is a
|
||||
replication source index called the _leader index_ and a replication target
|
||||
index called the _follower index_.
|
||||
|
||||
Replication is active-passive. This means that while the leader index
|
||||
can directly be written into, the follower index can not directly receive
|
||||
writes.
|
||||
|
||||
Replication is pull-based. This means that replication is driven by the
|
||||
follower index. This simplifies state management on the leader index and means
|
||||
that {ccr} does not interfere with indexing on the leader index.
|
||||
|
||||
In {ccr}, the cluster performing this pull is known as the _local cluster_. The
|
||||
cluster being replicated is known as the _remote cluster_.
|
||||
|
||||
==== Prerequisites
|
||||
|
||||
* {ccr-cap} requires <<modules-remote-clusters, remote clusters>>.
|
||||
|
||||
* The {es} version of the local cluster must be **the same as or newer** than
|
||||
the remote cluster. If newer, the versions must also be compatible as outlined
|
||||
in the following matrix.
|
||||
|
||||
include::../modules/remote-clusters.asciidoc[tag=remote-cluster-compatibility-matrix]
|
||||
|
||||
==== Configuring replication
|
||||
|
||||
Replication can be configured in two ways:
|
||||
|
||||
* Manually creating specific follower indices (in {kib} or by using the
|
||||
{ref}/ccr-put-follow.html[create follower API])
|
||||
|
||||
* Automatically creating follower indices from auto-follow patterns (in {kib} or
|
||||
by using the {ref}/ccr-put-auto-follow-pattern.html[create auto-follow pattern API])
|
||||
|
||||
For more information about managing {ccr} in {kib}, see
|
||||
{kibana-ref}/working-remote-clusters.html[Working with remote clusters].
|
||||
|
||||
NOTE: You must also <<ccr-requirements,configure the leader index>>.
|
||||
|
||||
When you initiate replication either manually or through an auto-follow pattern, the
|
||||
follower index is created on the local cluster. Once the follower index is created,
|
||||
the <<remote-recovery, remote recovery>> process copies all of the Lucene segment
|
||||
files from the remote cluster to the local cluster.
|
||||
|
||||
By default, if you initiate following manually (by using {kib} or the create follower API),
|
||||
the recovery process is asynchronous in relationship to the
|
||||
{ref}/ccr-put-follow.html[create follower request]. The request returns before
|
||||
the <<remote-recovery, remote recovery>> process completes. If you would like to wait on
|
||||
the process to complete, you can use the `wait_for_active_shards` parameter.
|
||||
|
||||
//////////////////////////
|
||||
|
||||
[source,console]
|
||||
--------------------------------------------------
|
||||
PUT /follower_index/_ccr/follow?wait_for_active_shards=1
|
||||
{
|
||||
"remote_cluster" : "remote_cluster",
|
||||
"leader_index" : "leader_index"
|
||||
}
|
||||
--------------------------------------------------
|
||||
// TESTSETUP
|
||||
// TEST[setup:remote_cluster_and_leader_index]
|
||||
|
||||
[source,console]
|
||||
--------------------------------------------------
|
||||
POST /follower_index/_ccr/pause_follow
|
||||
--------------------------------------------------
|
||||
// TEARDOWN
|
||||
|
||||
//////////////////////////
|
||||
|
||||
|
||||
==== The mechanics of replication
|
||||
|
||||
While replication is managed at the index level, replication is performed at the
|
||||
shard level. When a follower index is created, it is automatically
|
||||
configured to have an identical number of shards as the leader index. A follower
|
||||
shard task in the follower index pulls from the corresponding leader shard in
|
||||
the leader index by sending read requests for new operations. These read
|
||||
requests can be served from any copy of the leader shard (primary or replicas).
|
||||
|
||||
For each read request sent by the follower shard task, if there are new
|
||||
operations available on the leader shard, the leader shard responds with
|
||||
operations limited by the read parameters that you established when you
|
||||
configured the follower index. If there are no new operations available on the
|
||||
leader shard, the leader shard waits up to a configured timeout for new
|
||||
operations. If new operations occur within that timeout, the leader shard
|
||||
immediately responds with those new operations. Otherwise, if the timeout
|
||||
elapses, the leader shard replies that there are no new operations. The
|
||||
follower shard task updates some statistics and immediately sends another read
|
||||
request to the leader shard. This ensures that the network connections between
|
||||
the remote cluster and the local cluster are continually being used so as to
|
||||
avoid forceful termination by an external source (such as a firewall).
|
||||
|
||||
If a read request fails, the cause of the failure is inspected. If the
|
||||
cause of the failure is deemed to be a failure that can be recovered from (for
|
||||
example, a network failure), the follower shard task enters into a retry
|
||||
loop. Otherwise, the follower shard task is paused and requires user
|
||||
intervention before it can be resumed with the
|
||||
{ref}/ccr-post-resume-follow.html[resume follower API].
|
||||
|
||||
When operations are received by the follower shard task, they are placed in a
|
||||
write buffer. The follower shard task manages this write buffer and submits
|
||||
bulk write requests from this write buffer to the follower shard. The write
|
||||
buffer and these write requests are managed by the write parameters that you
|
||||
established when you configured the follower index. The write buffer serves as
|
||||
back-pressure against read requests. If the write buffer exceeds its configured
|
||||
limits, no additional read requests are sent by the follower shard task. The
|
||||
follower shard task resumes sending read requests when the write buffer no
|
||||
longer exceeds its configured limits.
|
||||
|
||||
NOTE: The intricacies of how operations are replicated from the leader are
|
||||
governed by settings that you can configure when you create the follower index
|
||||
in {kib} or by using the {ref}/ccr-put-follow.html[create follower API].
|
||||
|
||||
Mapping updates applied to the leader index are automatically retrieved
|
||||
as-needed by the follower index. It is not possible to manually modify the
|
||||
mapping of a follower index.
|
||||
|
||||
Settings updates applied to the leader index that are needed by the follower
|
||||
index are automatically retrieved as-needed by the follower index. Not all
|
||||
settings updates are needed by the follower index. For example, changing the
|
||||
number of replicas on the leader index is not replicated by the follower index.
|
||||
|
||||
Alias updates applied to the leader index are automatically retrieved by the
|
||||
follower index. It is not possible to manually modify an alias of a follower
|
||||
index.
|
||||
|
||||
NOTE: If you apply a non-dynamic settings change to the leader index that is
|
||||
needed by the follower index, the follower index will go through a cycle of
|
||||
closing itself, applying the settings update, and then re-opening itself. The
|
||||
follower index will be unavailable for reads and not replicating writes
|
||||
during this cycle.
|
||||
|
||||
|
||||
==== Inspecting the progress of replication
|
||||
|
||||
You can inspect the progress of replication at the shard level with the
|
||||
{ref}/ccr-get-follow-stats.html[get follower stats API]. This API gives you
|
||||
insight into the read and writes managed by the follower shard task. It also
|
||||
reports read exceptions that can be retried and fatal exceptions that require
|
||||
user intervention.
|
||||
|
||||
|
||||
==== Pausing and resuming replication
|
||||
|
||||
You can pause replication with the
|
||||
{ref}/ccr-post-pause-follow.html[pause follower API] and then later resume
|
||||
replication with the {ref}/ccr-post-resume-follow.html[resume follower API].
|
||||
Using these APIs in tandem enables you to adjust the read and write parameters
|
||||
on the follower shard task if your initial configuration is not suitable for
|
||||
your use case.
|
||||
|
||||
|
||||
==== Leader index retaining operations for replication
|
||||
|
||||
If the follower is unable to replicate operations from a leader for a period of
|
||||
time, the following process can fail due to the leader lacking a complete history
|
||||
of operations necessary for replication.
|
||||
|
||||
Operations replicated to the follower are identified using a sequence number
|
||||
generated when the operation was initially performed. Lucene segment files are
|
||||
occasionally merged in order to optimize searches and save space. When these
|
||||
merges occur, it is possible for operations associated with deleted or updated
|
||||
documents to be pruned during the merge. When the follower requests the sequence
|
||||
number for a pruned operation, the process will fail due to the operation missing
|
||||
on the leader.
|
||||
|
||||
This scenario is not possible in an append-only workflow. As documents are never
|
||||
deleted or updated, the underlying operation will not be pruned.
|
||||
|
||||
Elasticsearch attempts to mitigate this potential issue for update workflows using
|
||||
a Lucene feature called soft deletes. When a document is updated or deleted, the
|
||||
underlying operation is retained in the Lucene index for a period of time. This
|
||||
period of time is governed by the `index.soft_deletes.retention_lease.period`
|
||||
setting which can be <<ccr-requirements,configured on the leader index>>.
|
||||
|
||||
When a follower initiates the index following, it acquires a retention lease from
|
||||
the leader. This informs the leader that it should not allow a soft delete to be
|
||||
pruned until either the follower indicates that it has received the operation or
|
||||
the lease expires. It is valuable to have monitoring in place to detect a follower
|
||||
replication issue prior to the lease expiring so that the problem can be remedied
|
||||
before the follower falls fatally behind.
|
||||
|
||||
|
||||
==== Remedying a follower that has fallen behind
|
||||
|
||||
If a follower falls sufficiently behind a leader that it can no longer replicate
|
||||
operations this can be detected in {kib} or by using the
|
||||
{ref}/ccr-get-follow-stats.html[get follow stats API]. It will be reported as a
|
||||
`indices[].fatal_exception`.
|
||||
|
||||
In order to restart the follower, you must pause the following process, close the
|
||||
index, and the create follower index again. For example:
|
||||
|
||||
[source,console]
|
||||
----------------------------------------------------------------------
|
||||
POST /follower_index/_ccr/pause_follow
|
||||
|
||||
POST /follower_index/_close
|
||||
|
||||
PUT /follower_index/_ccr/follow?wait_for_active_shards=1
|
||||
{
|
||||
"remote_cluster" : "remote_cluster",
|
||||
"leader_index" : "leader_index"
|
||||
}
|
||||
----------------------------------------------------------------------
|
||||
|
||||
Re-creating the follower index is a destructive action. All of the existing Lucene
|
||||
segment files are deleted on the follower cluster. The
|
||||
<<remote-recovery, remote recovery>> process copies the Lucene segment
|
||||
files from the leader again. After the follower index initializes, the
|
||||
following process starts again.
|
||||
|
||||
|
||||
==== Terminating replication
|
||||
|
||||
You can terminate replication with the
|
||||
{ref}/ccr-post-unfollow.html[unfollow API]. This API converts a follower index
|
||||
to a regular (non-follower) index.
|
||||
|
|
@ -1,29 +0,0 @@
|
|||
[role="xpack"]
|
||||
[testenv="platinum"]
|
||||
[[remote-recovery]]
|
||||
=== Remote recovery
|
||||
|
||||
When you create a follower index, you cannot use it until it is fully initialized.
|
||||
The _remote recovery_ process builds a new copy of a shard on a follower node by
|
||||
copying data from the primary shard in the leader cluster. {es} uses this remote
|
||||
recovery process to bootstrap a follower index using the data from the leader index.
|
||||
This process provides the follower with a copy of the current state of the leader index,
|
||||
even if a complete history of changes is not available on the leader due to Lucene
|
||||
segment merging.
|
||||
|
||||
Remote recovery is a network intensive process that transfers all of the Lucene
|
||||
segment files from the leader cluster to the follower cluster. The follower
|
||||
requests that a recovery session be initiated on the primary shard in the leader
|
||||
cluster. The follower then requests file chunks concurrently from the leader. By
|
||||
default, the process concurrently requests `5` large `1mb` file chunks. This default
|
||||
behavior is designed to support leader and follower clusters with high network latency
|
||||
between them.
|
||||
|
||||
There are dynamic settings that you can use to rate-limit the transmitted data
|
||||
and manage the resources consumed by remote recoveries. See
|
||||
{ref}/ccr-settings.html[{ccr-cap} settings].
|
||||
|
||||
You can obtain information about an in-progress remote recovery by using the
|
||||
{ref}/cat-recovery.html[recovery API] on the follower cluster. Remote recoveries
|
||||
are implemented using the {ref}/modules-snapshots.html[snapshot and restore] infrastructure. This means that on-going remote recoveries are labelled as type
|
||||
`snapshot` in the recovery API.
|
||||
|
|
@ -1,43 +0,0 @@
|
|||
[role="xpack"]
|
||||
[testenv="platinum"]
|
||||
[[ccr-requirements]]
|
||||
=== Requirements for leader indices
|
||||
|
||||
{ccr-cap} works by replaying the history of individual write
|
||||
operations that were performed on the shards of the leader index. This means that the
|
||||
history of these operations needs to be retained on the leader shards so that
|
||||
they can be pulled by the follower shard tasks. The underlying mechanism used to
|
||||
retain these operations is _soft deletes_. A soft delete occurs whenever an
|
||||
existing document is deleted or updated. By retaining these soft deletes up to
|
||||
configurable limits, the history of operations can be retained on the leader
|
||||
shards and made available to the follower shard tasks as it replays the history
|
||||
of operations.
|
||||
|
||||
Soft deletes must be enabled for indices that you want to use as leader
|
||||
indices. Soft deletes are enabled by default on new indices created on
|
||||
or after {es} 7.0.0.
|
||||
|
||||
IMPORTANT: This means that {ccr} can not be used on existing indices. If you have
|
||||
existing data that you want to replicate from another cluster, you must
|
||||
{ref}/docs-reindex.html[reindex] your data into a new index with soft deletes
|
||||
enabled.
|
||||
|
||||
|
||||
[[ccr-overview-soft-deletes]]
|
||||
==== Soft delete settings
|
||||
|
||||
`index.soft_deletes.enabled`::
|
||||
|
||||
Whether or not soft deletes are enabled on the index. Soft deletes can only be
|
||||
configured at index creation and only on indices created on or after 6.5.0. The
|
||||
default value is `true`.
|
||||
|
||||
`index.soft_deletes.retention_lease.period`::
|
||||
|
||||
The maximum period to retain a shard history retention lease before it is considered
|
||||
expired. Shard history retention leases ensure that soft deletes are retained during
|
||||
merges on the Lucene index. If a soft delete is merged away before it can be replicated
|
||||
to a follower the following process will fail due to incomplete history on the leader.
|
||||
The default value is `12h`.
|
||||
|
||||
For more information about index settings, see {ref}/index-modules.html[Index modules].
|
||||
|
|
@ -1,49 +1,67 @@
|
|||
[role="xpack"]
|
||||
[testenv="platinum"]
|
||||
[[ccr-upgrading]]
|
||||
=== Upgrading clusters
|
||||
=== Upgrading clusters using {ccr}
|
||||
++++
|
||||
<titleabbrev>Upgrading clusters</titleabbrev>
|
||||
++++
|
||||
|
||||
Clusters that are actively using {ccr} require a careful approach to upgrades.
|
||||
Otherwise index following may fail during a rolling upgrade, because of the
|
||||
following reasons:
|
||||
The following conditions could cause index following to fail during rolling
|
||||
upgrades:
|
||||
|
||||
* If a new index setting or mapping type is replicated from an upgraded cluster
|
||||
to a non-upgraded cluster then the non-upgraded cluster will reject that and
|
||||
will fail index following.
|
||||
* Lucene is not forwards compatible and when index following is falling back to
|
||||
file based recovery then a node in a non-upgraded cluster will reject index
|
||||
files from a newer Lucene version compared to what it is using.
|
||||
|
||||
Rolling upgrading clusters with {ccr} is different in case of uni-directional
|
||||
index following and bi-directional index following.
|
||||
* Clusters that have not yet been upgraded will reject new index settings or
|
||||
mapping types that are replicated from an upgraded cluster.
|
||||
* Nodes in a cluster that has not been upgraded will reject index files from a
|
||||
node in an upgraded cluster when index following tries to fall back to
|
||||
file-based recovery. This limitation is due to Lucene not being forward
|
||||
compatible.
|
||||
|
||||
The approach to running a rolling upgrade on clusters where {ccr} is
|
||||
enabled differs based on uni-directional and bi-directional index following.
|
||||
|
||||
[[ccr-uni-directional-upgrade]]
|
||||
==== Uni-directional index following
|
||||
In a uni-directional configuration, one cluster contains only
|
||||
leader indices, and the other cluster contains only follower indices that
|
||||
replicate the leader indices.
|
||||
|
||||
In a uni-directional setup between two clusters, one cluster contains only
|
||||
leader indices, and the other cluster contains only follower indices following
|
||||
indices in the first cluster.
|
||||
|
||||
In this setup, the cluster with follower indices should be upgraded
|
||||
In this strategy, the cluster with follower indices should be upgraded
|
||||
first and the cluster with leader indices should be upgraded last.
|
||||
If clusters are upgraded in this order then index following can continue
|
||||
Upgrading the clusters in this order ensures that index following can continue
|
||||
during the upgrade without downtime.
|
||||
|
||||
Note that a chain index following setup can also be upgraded in this way.
|
||||
For example if there is a cluster A that contains all leader indices,
|
||||
cluster B that follows indices in cluster A and cluster C that follows
|
||||
indices in cluster B. In this case the cluster C should be upgraded first,
|
||||
then cluster B and finally cluster A.
|
||||
You can also use this strategy to upgrade a
|
||||
<<ccr-chained-replication,replication chain>>. Start by upgrading clusters at
|
||||
the end of the chain and working your way back to the cluster that contains the
|
||||
leader indices.
|
||||
|
||||
For example, consider a configuration where Cluster A contains all leader
|
||||
indices. Cluster B follows indices in Cluster A, and Cluster C follows indices
|
||||
in Cluster B.
|
||||
|
||||
--
|
||||
Cluster A
|
||||
^--Cluster B
|
||||
^--Cluster C
|
||||
--
|
||||
|
||||
In this configuration, upgrade the clusters in the following order:
|
||||
|
||||
. Cluster C
|
||||
. Cluster B
|
||||
. Cluster A
|
||||
|
||||
[[ccr-bi-directional-upgrade]]
|
||||
==== Bi-directional index following
|
||||
|
||||
In a bi-directional setup between two clusters, each cluster contains both
|
||||
leader and follower indices.
|
||||
In a bi-directional configuration, each cluster contains both leader and
|
||||
follower indices.
|
||||
|
||||
When upgrading clusters in this setup, all index following needs to be paused
|
||||
using the {ref}/ccr-post-pause-follow.html[pause follower API] and the
|
||||
{ref}/ccr-pause-auto-follow-pattern.html[pause auto-follower API] prior to
|
||||
upgrading both clusters. After both clusters have been upgraded then index
|
||||
following can be resumed using the
|
||||
{ref}/ccr-post-resume-follow.html[resume follower API]].
|
||||
When upgrading clusters in this configuration,
|
||||
<<ccr-pause-replication,pause all index following>> and
|
||||
<<ccr-auto-follow-pause,pause auto-follow patterns>> prior to
|
||||
upgrading both clusters.
|
||||
|
||||
After upgrading both clusters, resume index following and resume replication
|
||||
of auto-follow patterns.
|
||||
|
|
|
|||
|
|
@ -19,13 +19,37 @@ It is this process of analysis (both at index time and at search time)
|
|||
that allows Elasticsearch to perform full text queries.
|
||||
+
|
||||
Also see <<glossary-text,text>> and <<glossary-term,term>>.
|
||||
// end::analysis-def[]
|
||||
--
|
||||
|
||||
[[glossary-api-key]] API key ::
|
||||
// tag::api-key-def[]
|
||||
A unique identifier that you can use for authentication when submitting {es} requests.
|
||||
When TLS is enabled, all requests must be authenticated using either basic authentication
|
||||
(user name and password) or an API key.
|
||||
// end::api-key-def[]
|
||||
|
||||
|
||||
[[glossary-auto-follow-pattern]] auto-follow pattern ::
|
||||
// tag::auto-follow-pattern-def[]
|
||||
An <<glossary-index-pattern,index pattern>> that automatically configures new indices as
|
||||
<<glossary-follower-index,follower indices>> for <<glossary-ccr,{ccr}>>.
|
||||
For more information, see {ref}/ccr-auto-follow.html[Managing auto follow patterns].
|
||||
// end::auto-follow-pattern-def[]
|
||||
|
||||
[[glossary-cluster]] cluster ::
|
||||
// tag::cluster-def[]
|
||||
One or more <<glossary-node,nodes>> that share the
|
||||
same cluster name. Each cluster has a single master node, which is
|
||||
chosen automatically by the cluster and can be replaced if it fails.
|
||||
// end::cluster-def[]
|
||||
|
||||
A cluster consists of one or more <<glossary-node,nodes>> which share the
|
||||
same cluster name. Each cluster has a single master node which is
|
||||
chosen automatically by the cluster and which can be replaced if the
|
||||
current master node fails.
|
||||
[[glossary-cold-phase]] cold phase ::
|
||||
// tag::cold-phase-def[]
|
||||
The third possible phase in the <<glossary-index-lifecycle,index lifecycle>>.
|
||||
In the cold phase, an index is no longer updated and seldom queried.
|
||||
The information still needs to be searchable, but it’s okay if those queries are slower.
|
||||
// end::cold-phase-def[]
|
||||
|
||||
[[glossary-component-template]] component template ::
|
||||
// tag::component-template-def[]
|
||||
|
|
@ -34,10 +58,11 @@ A building block for constructing <<indices-templates,index templates>> that spe
|
|||
// end::component-template-def[]
|
||||
|
||||
[[glossary-ccr]] {ccr} (CCR)::
|
||||
|
||||
The {ccr} feature enables you to replicate indices in remote clusters to your
|
||||
// tag::ccr-def[]
|
||||
A feature that enables you to replicate indices in remote clusters to your
|
||||
local cluster. For more information, see
|
||||
{ref}/xpack-ccr.html[{ccr-cap}].
|
||||
// end::ccr-def[]
|
||||
|
||||
[[glossary-ccs]] {ccs} (CCS)::
|
||||
|
||||
|
|
@ -57,6 +82,12 @@ See {ref}/data-streams.html[Data streams].
|
|||
// end::data-stream-def[]
|
||||
--
|
||||
|
||||
[[glossary-delete-phase]] delete phase ::
|
||||
// tag::delete-phase-def[]
|
||||
The last possible phase in the <<glossary-index-lifecycle,index lifecycle>>.
|
||||
In the delete phase, an index is no longer needed and can safely be deleted.
|
||||
// end::delete-phase-def[]
|
||||
|
||||
[[glossary-document]] document ::
|
||||
|
||||
A document is a JSON document which is stored in Elasticsearch. It is
|
||||
|
|
@ -86,18 +117,33 @@ of data that can be stored in that field, eg `integer`, `string`,
|
|||
how the value for a field should be analyzed.
|
||||
|
||||
[[glossary-filter]] filter ::
|
||||
|
||||
A filter is a non-scoring <<glossary-query,query>>, meaning that it does not score documents.
|
||||
// tag::filter-def[]
|
||||
A filter is a non-scoring <<glossary-query,query>>,
|
||||
meaning that it does not score documents.
|
||||
It is only concerned about answering the question - "Does this document match?".
|
||||
The answer is always a simple, binary yes or no. This kind of query is said to be made
|
||||
in a <<query-filter-context,filter context>>,
|
||||
in a {ref}/query-filter-context.html[filter context],
|
||||
hence it is called a filter. Filters are simple checks for set inclusion or exclusion.
|
||||
In most cases, the goal of filtering is to reduce the number of documents that have to be examined.
|
||||
// end::filter-def[]
|
||||
|
||||
[[glossary-flush]] flush ::
|
||||
// tag::flush-def[]
|
||||
Peform a Lucene commit to write index updates in the transaction log (translog) to disk.
|
||||
Because a Lucene commit is a relatively expensive operation,
|
||||
{es} records index and delete operations in the translog and
|
||||
automatically flushes changes to disk in batches.
|
||||
To recover from a crash, operations that have been acknowledged but not yet committed
|
||||
can be replayed from the translog.
|
||||
Before upgrading, you can explicitly call the {ref}/indices-flush.html[Flush] API
|
||||
to ensure that all changes are committed to disk.
|
||||
// end::flush-def[]
|
||||
|
||||
[[glossary-follower-index]] follower index ::
|
||||
|
||||
Follower indices are the target indices for <<glossary-ccr,{ccr}>>. They exist
|
||||
in your local cluster and replicate <<glossary-leader-index,leader indices>>.
|
||||
// tag::follower-index-def[]
|
||||
The target index for <<glossary-ccr,{ccr}>>. A follower index exists
|
||||
in a local cluster and replicates a <<glossary-leader-index,leader index>>.
|
||||
// end::follower-index-def[]
|
||||
|
||||
[[glossary-force-merge]] force merge ::
|
||||
// tag::force-merge-def[]
|
||||
|
|
@ -123,6 +169,19 @@ before you are ready to archive or delete them.
|
|||
See the {ref}/freeze-index-api.html[freeze API].
|
||||
// end::freeze-def[]
|
||||
|
||||
[[glossary-frozen-index]] frozen index ::
|
||||
// tag::frozen-index-def[]
|
||||
An index reduced to a low overhead state that still enables occasional searches.
|
||||
Frozen indices use a memory-efficient shard implementation and throttle searches to conserve resources.
|
||||
Searching a frozen index is lower overhead than re-opening a closed index to enable searching.
|
||||
// end::frozen-index-def[]
|
||||
|
||||
[[glossary-hot-phase]] hot phase ::
|
||||
// tag::hot-phase-def[]
|
||||
The first possible phase in the <<glossary-index-lifecycle,index lifecycle>>.
|
||||
In the hot phase, an index is actively updated and queried.
|
||||
// end::hot-phase-def[]
|
||||
|
||||
[[glossary-id]] id ::
|
||||
|
||||
The ID of a <<glossary-document,document>> identifies a document. The
|
||||
|
|
@ -130,6 +189,13 @@ The ID of a <<glossary-document,document>> identifies a document. The
|
|||
then it will be auto-generated. (also see <<glossary-routing,routing>>)
|
||||
|
||||
[[glossary-index]] index ::
|
||||
+
|
||||
--
|
||||
// tag::index-def[]
|
||||
// tag::index-def-short[]
|
||||
An optimized collection of JSON documents. Each document is a collection of fields,
|
||||
the key-value pairs that contain your data.
|
||||
// end::index-def-short[]
|
||||
|
||||
An index is like a _table_ in a relational database. It has a
|
||||
<<glossary-mapping,mapping>> which contains a <<glossary-type,type>>,
|
||||
|
|
@ -155,6 +221,29 @@ See {ref}/indices-add-alias.html[Add index alias].
|
|||
// end::index-alias-def[]
|
||||
--
|
||||
|
||||
[[glossary-index-lifecycle]] index lifecycle ::
|
||||
// tag::index-lifecycle-def[]
|
||||
The four phases an index can transition through:
|
||||
<<glossary-hot-phase,hot>>, <<glossary-warm-phase,warm>>,
|
||||
<<glossary-cold-phase,cold>>, and <<glossary-delete-phase,delete>>.
|
||||
For more information, see {ref}/ilm-policy-definition.html[Index lifecycle].
|
||||
// end::index-lifecycle-def[]
|
||||
|
||||
[[glossary-index-lifecycle-policy]] index lifecycle policy ::
|
||||
// tag::index-lifecycle-policy-def[]
|
||||
Specifies how an index moves between phases in the index lifecycle and
|
||||
what actions to perform during each phase.
|
||||
// end::index-lifecycle-policy-def[]
|
||||
|
||||
[[glossary-index-pattern]] index pattern ::
|
||||
// tag::index-pattern-def[]
|
||||
A string that can contain the `*` wildcard to match multiple index names.
|
||||
In most cases, the index parameter in an {es} request can be the name of a specific index,
|
||||
a list of index names, or an index pattern.
|
||||
For example, if you have the indices `datastream-000001`, `datastream-000002`, and `datastream-000003`,
|
||||
to search across all three you could use the `datastream-*` index pattern.
|
||||
// end::index-pattern-def[]
|
||||
|
||||
[[glossary-index-template]] index template ::
|
||||
+
|
||||
--
|
||||
|
|
@ -168,11 +257,16 @@ Index templates are used to automatically configure indices created during <<glo
|
|||
--
|
||||
|
||||
[[glossary-leader-index]] leader index ::
|
||||
|
||||
Leader indices are the source indices for <<glossary-ccr,{ccr}>>. They exist
|
||||
on remote clusters and are replicated to
|
||||
// tag::leader-index-def[]
|
||||
The source index for <<glossary-ccr,{ccr}>>. A leader index exists
|
||||
on a remote cluster and is replicated to
|
||||
<<glossary-follower-index,follower indices>>.
|
||||
|
||||
[[glossary-local-cluster]] local cluster ::
|
||||
// tag::local-cluster-def[]
|
||||
The cluster that pulls data from a <<glossary-remote-cluster,remote cluster>> in {ccs} or {ccr}.
|
||||
// end::local-cluster-def[]
|
||||
|
||||
[[glossary-mapping]] mapping ::
|
||||
|
||||
A mapping is like a _schema definition_ in a relational database. Each
|
||||
|
|
@ -254,6 +348,14 @@ or upgrade {es} between incompatible versions.
|
|||
// end::reindex-def[]
|
||||
--
|
||||
|
||||
[[glossary-remote-cluster]] remote cluster ::
|
||||
|
||||
// tag::remote-cluster-def[]
|
||||
A separate cluster, often in a different data center or locale, that contains indices that
|
||||
can be replicated or searched by the <<glossary-local-cluster,local cluster>>.
|
||||
The connection to a remote cluster is unidirectional.
|
||||
// end::remote-cluster-def[]
|
||||
|
||||
[[glossary-replica-shard]] replica shard ::
|
||||
|
||||
Each <<glossary-primary-shard,primary shard>> can have zero or more
|
||||
|
|
@ -283,6 +385,25 @@ See the {ref}/indices-rollover-index.html[rollover index API].
|
|||
// end::rollover-def[]
|
||||
--
|
||||
|
||||
[[glossary-rollup]] rollup ::
|
||||
// tag::rollup-def[]
|
||||
Summarize high-granularity data into a more compressed format to
|
||||
maintain access to historical data in a cost-effective way.
|
||||
// end::rollup-def[]
|
||||
|
||||
[[glossary-rollup-index]] rollup index ::
|
||||
// tag::rollup-index-def[]
|
||||
A special type of index for storing historical data at reduced granularity.
|
||||
Documents are summarized and indexed into a rollup index by a <<glossary-rollup-job,rollup job>>.
|
||||
// end::rollup-index-def[]
|
||||
|
||||
[[glossary-rollup-job]] rollup job ::
|
||||
// tag::rollup-job-def[]
|
||||
A background task that runs continuously to summarize documents in an index and
|
||||
index the summaries into a separate rollup index.
|
||||
The job configuration controls what information is rolled up and how often.
|
||||
// end::rollup-job-def[]
|
||||
|
||||
[[glossary-routing]] routing ::
|
||||
|
||||
When you index a document, it is stored on a single
|
||||
|
|
@ -377,5 +498,12 @@ See also <<glossary-term,term>> and <<glossary-analysis,analysis>>.
|
|||
[[glossary-type]] type ::
|
||||
|
||||
A type used to represent the _type_ of document, e.g. an `email`, a `user`, or a `tweet`.
|
||||
Types are deprecated and are in the process of being removed. See <<removal-of-types>>.
|
||||
Types are deprecated and are in the process of being removed.
|
||||
See {ref}/removal-of-types.html[Removal of mapping types].
|
||||
// end::type-def[]
|
||||
|
||||
[[glossary-warm-phase]] warm phase ::
|
||||
// tag::warm-phase-def[]
|
||||
The second possible phase in the <<glossary-index-lifecycle,index lifecycle>>.
|
||||
In the warm phase, an index is generally optimized for search and no longer updated.
|
||||
// end::warm-phase-def[]
|
||||
|
|
|
|||
|
|
@ -95,6 +95,25 @@ indices.
|
|||
than the `index.number_of_shards` unless the `index.number_of_shards` value is also 1.
|
||||
See <<routing-index-partition>> for more details about how this setting is used.
|
||||
|
||||
[[ccr-index-soft-deletes]]
|
||||
// tag::ccr-index-soft-deletes-tag[]
|
||||
`index.soft_deletes.enabled`::
|
||||
deprecated:[7.6.0, Creating indices with soft-deletes disabled is deprecated and will be removed in future Elasticsearch versions.]
|
||||
Indicates whether soft deletes are enabled on the index. Soft deletes can only
|
||||
be configured at index creation and only on indices created on or after
|
||||
{es} 6.5.0. Defaults to `true`.
|
||||
// end::ccr-index-soft-deletes-tag[]
|
||||
|
||||
[[ccr-index-soft-deletes-retention-period]]
|
||||
//tag::ccr-index-soft-deletes-retention-tag[]
|
||||
`index.soft_deletes.retention_lease.period`::
|
||||
The maximum period to retain a shard history retention lease before it is
|
||||
considered expired. Shard history retention leases ensure that soft deletes are
|
||||
retained during merges on the Lucene index. If a soft delete is merged away
|
||||
before it can be replicated to a follower the following process will fail due
|
||||
to incomplete history on the leader. Defaults to `12h`.
|
||||
//end::ccr-index-soft-deletes-retention-tag[]
|
||||
|
||||
[[load-fixed-bitset-filters-eagerly]] `index.load_fixed_bitset_filters_eagerly`::
|
||||
|
||||
Indicates whether <<query-filter-context, cached filters>> are pre-loaded for
|
||||
|
|
|
|||
|
|
@ -59,16 +59,6 @@ there>>. {ccr-cap} will not function if soft deletes are disabled.
|
|||
[discrete]
|
||||
=== History retention settings
|
||||
|
||||
`index.soft_deletes.enabled`::
|
||||
include::{es-ref-dir}/index-modules.asciidoc[tag=ccr-index-soft-deletes-tag]
|
||||
|
||||
deprecated:[7.6.0, Creating indices with soft-deletes disabled is deprecated and will be removed in future Elasticsearch versions.]
|
||||
Whether or not soft deletes are enabled on the index. Soft deletes can only be
|
||||
configured at index creation and only on indices created on or after 6.5.0.
|
||||
The default value is `true`.
|
||||
|
||||
|
||||
`index.soft_deletes.retention_lease.period`::
|
||||
|
||||
The maximum length of time to retain a shard history retention lease before
|
||||
it expires and the history that it retains can be discarded. The default
|
||||
value is `12h`.
|
||||
include::{es-ref-dir}/index-modules.asciidoc[tag=ccr-index-soft-deletes-retention-tag]
|
||||
|
|
|
|||
|
|
@ -46,14 +46,15 @@ communicate with 6.7. The matrix below summarizes compatibility as described abo
|
|||
// tag::remote-cluster-compatibility-matrix[]
|
||||
[cols="^,^,^,^,^,^,^,^"]
|
||||
|====
|
||||
| Compatibility | 5.0->5.5 | 5.6 | 6.0->6.6 | 6.7 | 6.8 | 7.0 | 7.1->7.x
|
||||
| 5.0->5.5 | Yes | Yes | No | No | No | No | No
|
||||
| 5.6 | Yes | Yes | Yes | Yes | Yes | No | No
|
||||
| 6.0->6.6 | No | Yes | Yes | Yes | Yes | No | No
|
||||
| 6.7 | No | Yes | Yes | Yes | Yes | Yes | No
|
||||
| 6.8 | No | Yes | Yes | Yes | Yes | Yes | Yes
|
||||
| 7.0 | No | No | No | Yes | Yes | Yes | Yes
|
||||
| 7.1->7.x | No | No | No | No | Yes | Yes | Yes
|
||||
| 7+^h| Local cluster
|
||||
h| Remote cluster | 5.0->5.5 | 5.6 | 6.0->6.6 | 6.7 | 6.8 | 7.0 | 7.1->7.x
|
||||
| 5.0->5.5 | {yes-icon} | {yes-icon} | {no-icon} | {no-icon} | {no-icon} | {no-icon} | {no-icon}
|
||||
| 5.6 | {yes-icon} | {yes-icon} | {yes-icon} | {yes-icon} | {yes-icon} | {no-icon} | {no-icon}
|
||||
| 6.0->6.6 | {no-icon} | {yes-icon} | {yes-icon} | {yes-icon} | {yes-icon} | {no-icon} | {no-icon}
|
||||
| 6.7 | {no-icon} | {yes-icon} | {yes-icon} | {yes-icon} | {yes-icon} | {yes-icon} | {no-icon}
|
||||
| 6.8 | {no-icon} | {yes-icon} | {yes-icon} | {yes-icon} | {yes-icon} | {yes-icon} | {yes-icon}
|
||||
| 7.0 | {no-icon} | {no-icon} | {no-icon} | {yes-icon} | {yes-icon} | {yes-icon} | {yes-icon}
|
||||
| 7.1->7.x | {no-icon} | {no-icon} | {no-icon} | {no-icon} | {yes-icon} | {yes-icon} | {yes-icon}
|
||||
|====
|
||||
// end::remote-cluster-compatibility-matrix[]
|
||||
|
||||
|
|
|
|||
|
|
@ -3,6 +3,31 @@
|
|||
|
||||
The following pages have moved or been deleted.
|
||||
|
||||
[role="exclude",id="ccr-remedy-follower-index"]
|
||||
=== Leader index retaining operations for replication
|
||||
|
||||
See <<ccr-leader-requirements,Requirements for leader indices>>.
|
||||
|
||||
[role="exclude",id="ccr-leader-not-replicating"]
|
||||
=== Remedying a follower that has fallen behind
|
||||
|
||||
See <<ccr-recreate-follower-index,Recreating a follower index>>.
|
||||
|
||||
[role="exclude",id="remote-reovery"]
|
||||
=== Remote recovery process
|
||||
|
||||
See <<ccr-remote-recovery,Remote recovery process>>.
|
||||
|
||||
[role="exclude",id="ccr-requirements"]
|
||||
=== Leader index requirements
|
||||
|
||||
See <<ccr-leader-requirements,Requirements for leader indices>>.
|
||||
|
||||
[role="exclude",id="ccr-overview"]
|
||||
=== Cross-cluster replication overview
|
||||
|
||||
See <<xpack-ccr,Cross-cluster replication>>.
|
||||
|
||||
[role="exclude",id="indices-upgrade"]
|
||||
=== Upgrade API
|
||||
|
||||
|
|
|
|||
|
|
@ -10,7 +10,7 @@ These {ccr} settings can be dynamically updated on a live cluster with the
|
|||
==== Remote recovery settings
|
||||
|
||||
The following setting can be used to rate-limit the data transmitted during
|
||||
<<remote-recovery,remote recoveries>>:
|
||||
<<ccr-remote-recovery,remote recoveries>>:
|
||||
|
||||
`ccr.indices.recovery.max_bytes_per_sec` (<<cluster-update-settings,Dynamic>>)::
|
||||
Limits the total inbound and outbound remote recovery traffic on each node.
|
||||
|
|
|
|||
Loading…
Reference in New Issue