Briefly, this error occurs when Elasticsearch cannot access the data directory due to permission issues or the directory being non-existent. To resolve this, ensure that the directory specified in the path.data setting in the Elasticsearch configuration file exists and has the correct permissions. Alternatively, you can change the path.data setting to a directory that does exist and has the correct permissions. Also, ensure that the Elasticsearch process has the necessary permissions to read and write to this directory.
This guide will help you check for common problems that cause the log ” store location [ ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: repositories, blobstore.
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 “store location [” class name is BlobStoreRepository.java. We extracted the following from Elasticsearch source code for those seeking an in-depth context :
} else {
BlobContainer testBlobContainer = blobStore().blobContainer(basePath().add(testBlobPrefix(seed)));
try {
testBlobContainer.writeBlob("data-" + localNode.getId() + ".dat"; new BytesArray(seed); true);
} catch (Exception exp) {
throw new RepositoryVerificationException(metadata.name(); "store location [" + blobStore() +
"] is not accessible on the node [" + localNode + "]"; exp);
}
try (InputStream masterDat = testBlobContainer.readBlob("master.dat")) {
final String seedRead = Streams.readFully(masterDat).utf8ToString();
if (seedRead.equals(seed) == false) {
