Maybe these locations are not writable or multiple nodes were started on the same data path

If Elasticsearch is unable to start due to a data path conflict, it is likely that one of the following is true:

• The data path is not writable. This could be because the directory does not exist, the user running Elasticsearch does not have permission to write to the directory, or the directory is full.
• Multiple nodes are trying to start with the same data path. This is not allowed, as each node must have its own unique data path.

To resolve this issue, you can try the following:

• Make sure that the data path exists and that the user running Elasticsearch has permission to write to the directory.
• Make sure that only one node is trying to start with the given data path.

If you are still having trouble, you can try the following:

• Delete the data directory and start Elasticsearch. Elasticsearch will create a new data directory with the default settings.
• Start Elasticsearch with a different data path.

If you are running Elasticsearch in a production environment, it is important to back up your data before making any changes.

Here are some additional tips for troubleshooting data path conflicts:

• If you are using a cloud-based Elasticsearch service, such as Amazon Elasticsearch Service (AES) or Elasticsearch Service on Google Cloud Platform (GCP), you can usually check the management console for the service to see if there are any errors related to the data path.
• If you are running Elasticsearch on your own infrastructure, you can check the Elasticsearch logs for any errors related to the data path.
• You can also try restarting Elasticsearch to see if that resolves the issue.

If you are still having trouble, you can contact Elastic support for assistance.