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Elastic Docs ›Elasticsearch Guide [8.15] ›Troubleshooting

Addressing repeated snapshot policy failures

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Addressing repeated snapshot policy failures

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Repeated snapshot failures are usually an indicator of a problem with your deployment. Continuous failures of automated snapshots can leave a deployment without recovery options in cases of data loss or outages.

Elasticsearch keeps track of the number of repeated failures when executing automated snapshots. If an automated snapshot fails too many times without a successful execution, the health API will report a warning. The number of repeated failures before reporting a warning is controlled by the slm.health.failed_snapshot_warn_threshold setting.

In the event that an automated snapshot lifecycle management policy execution is experiencing repeated failures, follow these steps to get more information about the problem:

In order to check the status of failing snapshot lifecycle management policies we need to go to Kibana and retrieve the Snapshot Lifecycle Policy information.

Use Kibana

  1. Log in to the Elastic Cloud console.

  2. On the Elasticsearch Service panel, click the name of your deployment.

    If the name of your deployment is disabled your Kibana instances might be unhealthy, in which case please contact Elastic Support. If your deployment doesn’t include Kibana, all you need to do is enable it first.

  3. Open your deployment’s side navigation menu (placed under the Elastic logo in the upper left corner) and go to Dev Tools > Console.

    Kibana Console

  4. Retrieve the snapshot lifecycle management policy:

    resp = client.slm.get_lifecycle(
    policy_id="<affected-policy-name>",
)
print(resp)
    const response = await client.slm.getLifecycle({
  policy_id: "<affected-policy-name>",
});
console.log(response);
    GET _slm/policy/<affected-policy-name>

    The response will look like this:

    {
  "affected-policy-name": { 
    "version": 1,
    "modified_date": "2099-05-06T01:30:00.000Z",
    "modified_date_millis": 4081757400000,
    "policy" : {
      "schedule": "0 30 1 * * ?",
      "name": "<daily-snap-{now/d}>",
      "repository": "my_repository",
      "config": {
        "indices": ["data-*", "important"],
        "ignore_unavailable": false,
        "include_global_state": false
      },
      "retention": {
        "expire_after": "30d",
        "min_count": 5,
        "max_count": 50
      }
    },
    "last_success" : {
      "snapshot_name" : "daily-snap-2099.05.30-tme_ivjqswgkpryvnao2lg",
      "start_time" : 4083782400000,
      "time" : 4083782400000
    },
    "last_failure" : { 
      "snapshot_name" : "daily-snap-2099.06.16-ywe-kgh5rfqfrpnchvsujq",
      "time" : 4085251200000, 
      "details" : """{"type":"snapshot_exception","reason":"[daily-snap-2099.06.16-ywe-kgh5rfqfrpnchvsujq] failed to create snapshot successfully, 5 out of 149 total shards failed"}""" 
    },
    "stats": {
      "policy": "daily-snapshots",
      "snapshots_taken": 0,
      "snapshots_failed": 0,
      "snapshots_deleted": 0,
      "snapshot_deletion_failures": 0
    },
    "next_execution": "2099-06-17T01:30:00.000Z",
    "next_execution_millis": 4085343000000
  }
}

    The affected snapshot lifecycle policy.

    The information about the last failure for the policy.

    The time when the failure occurred in millis. Use the human=true request parameter to see a formatted timestamp.

    Error details containing the reason for the snapshot failure.

    Snapshots can fail for a variety reasons. If the failures are due to configuration errors, consult the documentation for the repository that the automated snapshots are using. Refer to the guide on managing repositories in ECE if you are using such a deployment.

One common failure scenario is repository corruption. This occurs most often when multiple instances of Elasticsearch write to the same repository location. There is a separate troubleshooting guide to fix this problem.

In the event that snapshots are failing for other reasons check the logs on the elected master node during the snapshot execution period for more information.

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