Introduce CCR overview (#35436)

This commit introduces a basic overview for cross-cluster replication to
the docs.

Co-authored-by: "lcawl <lcawley@elastic.co>"
This commit is contained in:
Jason Tedor 2018-11-13 12:15:37 -05:00 committed by GitHub
parent 73a563c915
commit 8b2f22ee07
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
4 changed files with 198 additions and 3 deletions

View File

@ -0,0 +1,32 @@
[role="xpack"]
[testenv="platinum"]
[[ccr-overview-auto-follow]]
=== Automatically following indices
beta[]
In time series use cases where you want to follow new indices that are
periodically created (such as daily Beats indices), manually configuring follower
indices for each new leader index can be an operational burden. The auto-follow
functionality in {ccr} is aimed at easing this burden. With the auto-follow
functionality, you can specify that new indices in a remote cluster that have a
name that matches a pattern are automatically followed.
==== Managing auto-follow patterns
You can add a new auto-follow pattern configuration with the
{ref}/ccr-put-auto-follow-pattern.html[create auto-follow pattern API]. When you create
a new auto-follow pattern configuration, you are configuring a collection of
patterns against a single remote cluster. Any time a new index with a name that
matches one of the patterns in the collection is created in the remote cluster,
a follower index is configured in the local cluster. The follower index uses the
new index as its leader index.
You can inspect all configured auto-follow pattern collections with the
{ref}/ccr-get-auto-follow-pattern.html[get auto-follow pattern API]. To delete a
configured auto-follow pattern collection, use the
{ref}ccr-delete-auto-follow-pattern.html[delete auto-follow pattern API].
Since auto-follow functionality is handled automatically in the background on
your behalf, error reporting is done through logs on the elected master node
and through the {ref}/ccr-get-stats.html[{ccr} stats API].

View File

@ -8,10 +8,23 @@
beta[]
* <<ccr-overview, Overview>>
* <<ccr-getting-started,Getting Started>>
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:
* 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
This guide provides an overview of {ccr}:
* <<ccr-overview>>
* <<ccr-requirements>>
* <<ccr-overview-auto-follow>>
* <<ccr-getting-started>>
--
include::overview.asciidoc[]
include::requirements.asciidoc[]
include::auto-follow.asciidoc[]
include::getting-started.asciidoc[]

View File

@ -4,4 +4,109 @@
== Overview
beta[]
This is the overview section of the {ccr} docs.
Cross-cluster replication 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.
[float]
=== Configuring replication
Replication can be configured in two ways:
* Manually using the
{ref}/ccr-put-follow.html[create follower API]
* Automatically using
<<ccr-overview-auto-follow,auto-follow patterns>>
NOTE: You must also <<ccr-requirements,configure the leader index>>.
[float]
=== 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 follower 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 the 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.
Mapping updates applied to the leader index are automatically retrieved
as-needed by the follower index.
Settings updates applied to the leader index that are needed by the follower
index are automatically retried 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.
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.
[float]
=== 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.
[float]
=== 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.
[float]
=== 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.

View File

@ -0,0 +1,45 @@
[role="xpack"]
[testenv="platinum"]
[[ccr-requirements]]
=== Requirements for leader indices
beta[]
Cross-cluster replication 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. Enabling soft deletes requires the addition of some index settings at
index creation time. You must add these settings to your create index
requests or to the index templates that you use to manage the creation of new
indices.
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.
[float]
[[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 `false`.
`index.soft_deletes.retention.operations`::
The number of soft deletes to retain. Soft deletes are collected during merges
on the underlying Lucene index yet retained up to the number of operations
configured by this setting. The default value is `0`.
For more information about index settings, see {ref}/index-modules.html[Index modules].