Before you begin reading this guide, we recommend you run Elasticsearch Error Check-Up which analyzes 2 JSON files to detect many errors.
Briefly, this error message indicates that Elasticsearch was unable to create a repository. The reason for this error could be a problem with the Elasticsearch instance or a problem with the repository configuration. To resolve the issue, the repository configuration should be checked for errors and Elasticsearch can be restarted.
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This guide will help you check for common problems that cause the log ” Failed to create repository ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: repositories and repository-azure.
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 type | Configuration type |
|---|---|
| Shared file system | Type: “fs” |
| S3 | Type : “s3” |
| HDFS | Type :“hdfs” |
| Azure | Type: “azure” |
| Google Cloud Storage | Type : “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.
Log Context
Log “Failed to create repository [{}]” classname is RepositoriesService.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :
}
} else {
try {
repository = createRepository(repositoryMetaData; typesRegistry);
} catch (RepositoryException ex) {
logger.warn(() -> new ParameterizedMessage("failed to create repository [{}]"; repositoryMetaData.name()); ex);
}
}
if (repository != null) {
logger.debug("registering repository [{}]"; repositoryMetaData.name());
builder.put(repositoryMetaData.name(); repository);
Find & fix Elasticsearch problems
