Elasticsearch Repository

By Opster Team

Updated: Mar 10, 2024

| 1 min read

Overview

An Elasticsearch snapshot provides a backup mechanism that takes the current state and data in the cluster and saves it to a repository (read snapshot for more information). The backup process requires a repository to be created first. The repository needs to be registered using the _snapshot endpoint, and multiple repositories can be created per cluster. The following repository types are supported: 

Repository types

Repository typeConfiguration type
Shared file systemType: “fs”
S3Type : “s3”
HDFSType :“hdfs”
AzureType: “azure”
Google Cloud StorageType : “gcs”

Examples

To register an “fs” repository:

PUT _snapshot/my_repo_01
{
"type": "fs",
"settings": {
"location": "/mnt/my_repo_dir"
  }
}

Notes and good things to know

  • S3, HDFS, Azure and Google Cloud require a relevant plugin to be installed before it can be used for a snapshot.
  • The setting, path.repo: /mnt/my_repo_dir needs to be added to elasticsearch.yml on all the nodes if you are planning to use the repo type of file system. Otherwise, it will fail.
  • When using remote repositories, the network bandwidth and repository storage throughput should be high enough to complete the snapshot operations normally, otherwise you will end up with partial snapshots.

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Related log errors to this ES concept


Unable to notify a successful request
Unable to clean unused element
There are no repositories to fetch SLM retention snapshot cleanup task complete
Snapshot task %s unexpectedly failed
Cannot access in container
Can t calculate hash from blob for file
Can t read metadata from store will not reuse local files during restore
Can t calculate hash from blog for file
The specified location doesn t start with any
The specified location should start with a repository path specified by
Failed to delete some blobs during snapshot delete
Failed to clean up old index blobs from before

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