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Elastic Docs ›Elasticsearch Guide [8.11] ›Set up a cluster for high availability ›Cross-cluster replication

Tutorial: Disaster recovery based on uni-directional cross-cluster replication

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Tutorial: Disaster recovery based on uni-directional cross-cluster replication

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Learn how to failover and failback between two clusters based on uni-directional cross-cluster replication. You can also visit Bi-directional disaster recovery to set up replicating data streams that automatically failover and failback without human intervention.

  • Setting up uni-directional cross-cluster replication replicated from clusterA to clusterB.
  • Failover - If clusterA goes offline, clusterB needs to "promote" follower indices to regular indices to allow write operations. All ingestion will need to be redirected to clusterB, this is controlled by the clients (Logstash, Beats, Elastic Agents, etc).
  • Failback - When clusterA is back online, it assumes the role of a follower and replicates the leader indices from clusterB.
Uni-directional cross cluster replication failover and failback

Cross-cluster replication provides functionality to replicate user-generated indices only. Cross-cluster replication isn’t designed for replicating system-generated indices or snapshot settings, and can’t replicate ILM or SLM policies across clusters. Learn more in cross-cluster replication limitations.

Prerequisites

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Before completing this tutorial, set up cross-cluster replication to connect two clusters and configure a follower index.

In this tutorial, kibana_sample_data_ecommerce is replicated from clusterA to clusterB.

response = client.cluster.put_settings(
  body: {
    persistent: {
      cluster: {
        remote: {
          "clusterA": {
            mode: 'proxy',
            skip_unavailable: 'true',
            server_name: 'clustera.es.region-a.gcp.elastic-cloud.com',
            proxy_socket_connections: '18',
            proxy_address: 'clustera.es.region-a.gcp.elastic-cloud.com:9400'
          }
        }
      }
    }
  }
)
puts response
### On clusterB ###
PUT _cluster/settings
{
  "persistent": {
    "cluster": {
      "remote": {
        "clusterA": {
          "mode": "proxy",
          "skip_unavailable": "true",
          "server_name": "clustera.es.region-a.gcp.elastic-cloud.com",
          "proxy_socket_connections": "18",
          "proxy_address": "clustera.es.region-a.gcp.elastic-cloud.com:9400"
        }
      }
    }
  }
}
### On clusterB ###
PUT /kibana_sample_data_ecommerce2/_ccr/follow?wait_for_active_shards=1
{
  "remote_cluster": "clusterA",
  "leader_index": "kibana_sample_data_ecommerce"
}

Writes (such as ingestion or updates) should occur only on the leader index. Follower indices are read-only and will reject any writes.

Failover when clusterA is down

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  1. Promote the follower indices in clusterB into regular indices so that they accept writes. This can be achieved by:

    • First, pause indexing following for the follower index.
    • Next, close the follower index.
    • Unfollow the leader index.
    • Finally, open the follower index (which at this point is a regular index). 
    response = client.ccr.pause_follow(
  index: 'kibana_sample_data_ecommerce2'
)
puts response

response = client.indices.close(
  index: 'kibana_sample_data_ecommerce2'
)
puts response

response = client.ccr.unfollow(
  index: 'kibana_sample_data_ecommerce2'
)
puts response

response = client.indices.open(
  index: 'kibana_sample_data_ecommerce2'
)
puts response
    ### On clusterB ###
POST /kibana_sample_data_ecommerce2/_ccr/pause_follow
POST /kibana_sample_data_ecommerce2/_close
POST /kibana_sample_data_ecommerce2/_ccr/unfollow
POST /kibana_sample_data_ecommerce2/_open

  2. On the client side (Logstash, Beats, Elastic Agent), manually re-enable ingestion of kibana_sample_data_ecommerce2 and redirect traffic to the clusterB. You should also redirect all search traffic to the clusterB cluster during this time. You can simulate this by ingesting documents into this index. You should notice this index is now writable.

    response = client.index(
  index: 'kibana_sample_data_ecommerce2',
  body: {
    user: 'kimchy'
  }
)
puts response
    ### On clusterB ###
POST kibana_sample_data_ecommerce2/_doc/
{
  "user": "kimchy"
}

Failback when clusterA comes back

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When clusterA comes back, clusterB becomes the new leader and clusterA becomes the follower.

  1. Set up remote cluster clusterB on clusterA.

    response = client.cluster.put_settings(
  body: {
    persistent: {
      cluster: {
        remote: {
          "clusterB": {
            mode: 'proxy',
            skip_unavailable: 'true',
            server_name: 'clusterb.es.region-b.gcp.elastic-cloud.com',
            proxy_socket_connections: '18',
            proxy_address: 'clusterb.es.region-b.gcp.elastic-cloud.com:9400'
          }
        }
      }
    }
  }
)
puts response
    ### On clusterA ###
PUT _cluster/settings
{
  "persistent": {
    "cluster": {
      "remote": {
        "clusterB": {
          "mode": "proxy",
          "skip_unavailable": "true",
          "server_name": "clusterb.es.region-b.gcp.elastic-cloud.com",
          "proxy_socket_connections": "18",
          "proxy_address": "clusterb.es.region-b.gcp.elastic-cloud.com:9400"
        }
      }
    }
  }
}

  2. Existing data needs to be discarded before you can turn any index into a follower. Ensure the most up-to-date data is available on clusterB prior to deleting any indices on clusterA.

    response = client.indices.delete(
  index: 'kibana_sample_data_ecommerce'
)
puts response
    ### On clusterA ###
DELETE kibana_sample_data_ecommerce

  3. Create a follower index on clusterA, now following the leader index in clusterB.

    ### On clusterA ###
PUT /kibana_sample_data_ecommerce/_ccr/follow?wait_for_active_shards=1
{
  "remote_cluster": "clusterB",
  "leader_index": "kibana_sample_data_ecommerce2"
}

  4. The index on the follower cluster now contains the updated documents.

    response = client.search(
  index: 'kibana_sample_data_ecommerce',
  q: 'kimchy'
)
puts response
    ### On clusterA ###
GET kibana_sample_data_ecommerce/_search?q=kimchy

    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, see index.soft_deletes.retention_lease.period for more details.

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