- Elasticsearch Guide: other versions:
- What is Elasticsearch?
- What’s new in 7.11
- Getting started with Elasticsearch
- Set up Elasticsearch
- Installing Elasticsearch
- Configuring Elasticsearch
- Setting JVM options
- Secure settings
- Auditing settings
- Circuit breaker settings
- Cluster-level shard allocation and routing settings
- Cross-cluster replication settings
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- Overview
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- ILM: Manage the index lifecycle
- Overview
- Concepts
- Automate rollover
- Customize built-in ILM policies
- Index lifecycle actions
- Configure a lifecycle policy
- Migrate index allocation filters to node roles
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- Overview
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- Tutorial: Getting started with security
- Tutorial: Encrypting communications
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- Some settings are not returned via the nodes settings API
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- Snapshot and restore APIs
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- Definitions
- Migration guide
- Release notes
- Elasticsearch version 7.11.2
- Elasticsearch version 7.11.1
- Elasticsearch version 7.11.0
- Elasticsearch version 7.10.2
- Elasticsearch version 7.10.1
- Elasticsearch version 7.10.0
- Elasticsearch version 7.9.3
- Elasticsearch version 7.9.2
- Elasticsearch version 7.9.1
- Elasticsearch version 7.9.0
- Elasticsearch version 7.8.1
- Elasticsearch version 7.8.0
- Elasticsearch version 7.7.1
- Elasticsearch version 7.7.0
- Elasticsearch version 7.6.2
- Elasticsearch version 7.6.1
- Elasticsearch version 7.6.0
- Elasticsearch version 7.5.2
- Elasticsearch version 7.5.1
- Elasticsearch version 7.5.0
- Elasticsearch version 7.4.2
- Elasticsearch version 7.4.1
- Elasticsearch version 7.4.0
- Elasticsearch version 7.3.2
- Elasticsearch version 7.3.1
- Elasticsearch version 7.3.0
- Elasticsearch version 7.2.1
- Elasticsearch version 7.2.0
- Elasticsearch version 7.1.1
- Elasticsearch version 7.1.0
- Elasticsearch version 7.0.0
- Elasticsearch version 7.0.0-rc2
- Elasticsearch version 7.0.0-rc1
- Elasticsearch version 7.0.0-beta1
- Elasticsearch version 7.0.0-alpha2
- Elasticsearch version 7.0.0-alpha1
- Dependencies and versions
Tutorial: Set up cross-cluster replication
editTutorial: Set up cross-cluster replication
editUse this guide to set up cross-cluster replication (CCR) between clusters in two datacenters. Replicating your data across datacenters provides several benefits:
- Brings data closer to your users or application server to reduce latency and response time
- Provides your mission-critical applications with the tolerance to withstand datacenter or region outages
In this guide, you’ll learn how to:
- Configure a remote cluster with a leader index
- Create a follower index on a local cluster
- Create an auto-follow pattern to automatically follow time series indices that are periodically created in a remote cluster
You can manually create follower indices to replicate specific indices on a remote cluster, or configure auto-follow patterns to replicate rolling time series indices.
If you want to replicate data across clusters in the cloud, you can configure remote clusters on Elasticsearch Service. Then, you can search across clusters and set up cross-cluster replication.
Prerequisites
editTo complete this tutorial, you need:
- A license on both clusters that includes cross-cluster replication. Activate a free 30-day trial.
-
The
read_ccr
cluster privilege andmonitor
andread
privileges for the leader index on the remote cluster. Configure remote cluster privileges. -
The
manage_ccr
cluster privilege andmonitor
,read
,write
andmanage_follow_index
privileges to configure remote clusters and follower indices on the local cluster. Configure local cluster privileges. - An index on the remote cluster that contains the data you want to replicate. This tutorial uses the sample eCommerce orders data set. Load sample data.
Connect to a remote cluster
editTo replicate an index on a remote cluster (Cluster A) to a local cluster (Cluster B), you configure Cluster A as a remote on Cluster B.

To configure a remote cluster from Stack Management in Kibana:
- Select Remote Clusters from the side navigation.
-
Specify the IP address or host name of the remote cluster (ClusterB),
followed by the transport port of the remote cluster (defaults to
9300
). For example,192.168.1.1:9300
.

API example
Use the cluster update settings API to add a remote cluster:
PUT /_cluster/settings { "persistent" : { "cluster" : { "remote" : { "leader" : { "seeds" : [ "127.0.0.1:9300" ] } } } } }
You can verify that the local cluster is successfully connected to the remote cluster.
GET /_remote/info
The API will respond by showing that the local cluster is connected to the remote cluster.
Enable soft deletes on leader indices
editTo follow an index, it must have been created with soft deletes enabled. If the index doesn’t have soft deletes enabled, you must reindex it and use the new index as the leader index. Soft deletes are enabled by default on new indices created with Elasticsearch 7.0.0 and later.
Create a follower index to replicate a specific index
editWhen you create a follower index, you reference the remote cluster and the leader index in your remote cluster.
To create a follower index from Stack Management in Kibana:
- Select Cross-Cluster Replication in the side navigation and choose the Follower Indices tab.
- Choose the cluster (ClusterA) containing the leader index you want to replicate.
-
Enter the name of the leader index, which is
kibana_sample_data_ecommerce
if you are following the tutorial. -
Enter a name for your follower index, such as
follower-kibana-sample-data
.

Elasticsearch initializes the follower using the remote recovery process, which transfers the existing Lucene segment files from the leader index to the follower index. The index status changes to Paused. When the remote recovery process is complete, the index following begins and the status changes to Active.
When you index documents into your leader index, Elasticsearch replicates the documents in the follower index.

API example
Use the create follower API to create follower indices. When you create a follower index, you must reference the remote cluster and the leader index that you created in the remote cluster.
When initiating the follower request, the response returns before the
remote recovery process completes. To wait for the process
to complete, add the wait_for_active_shards
parameter to your request.
PUT /server-metrics-follower/_ccr/follow?wait_for_active_shards=1 { "remote_cluster" : "leader", "leader_index" : "server-metrics" }
Use the get follower stats API to inspect the status of replication
Create an auto-follow pattern to replicate time series indices
editYou use auto-follow patterns to automatically create new followers for rolling time series indices. Whenever the name of a new index on the remote cluster matches the auto-follow pattern, a corresponding follower index is added to the local cluster.
An auto-follow pattern specifies the remote cluster you want to replicate from, and one or more index patterns that specify the rolling time series indices you want to replicate.
To create an auto-follow pattern from Stack Management in Kibana:
- Select Cross Cluster Replication in the side navigation and choose the Auto-follow patterns tab.
-
Enter a name for the auto-follow pattern, such as
beats
. - Choose the remote cluster that contains the index you want to replicate, which in the example scenario is Cluster A.
-
Enter one or more index patterns that identify the indices you want to
replicate from the remote cluster. For example, enter
metricbeat-* packetbeat-*
to automatically create followers for Metricbeat and Packetbeat indices. - Enter follower- as the prefix to apply to the names of the follower indices so you can more easily identify replicated indices.
As new indices matching these patterns are created on the remote, Elasticsearch automatically replicates them to local follower indices.

API example
Use the create auto-follow pattern API to configure auto-follow patterns.
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