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Do not use this option if there is a risk that a file might be modified directly on the storage system without first writing it to the cache. If that happens, the cached version of the file will be out of sync with the back-end file.
Client reads and client writes are both cached. Files in the cache are assumed to be newer than files on the back-end storage system. Cached files are only automatically checked against the files on back-end storage every eight hours. Modified files in the cache are written to the back-end storage system after they have been in the cache for 20 minutes with no additional changes. Do not use this option if any clients mount the back-end storage volume directly, because there is a risk it will have outdated files.
Clients write to the NFS target, bypassing the cache - Choose this option if any clients in your workflow write data directly to the storage system without first writing to the cache, or if you want to optimize data consistency.
Files that clients request are cached, but any changes to those files from the client are passed through to the back-end storage system immediately.
Files in the cache are frequently checked against the back-end versions for updates. This verification maintains data consistency when files are changed directly on the storage system instead of through the cache. For details about the other options, read Understand usage models. The Back-end verification value shows when the cache automatically compares its files with source files in remote storage.
However, you can trigger a comparison by sending a client request that includes a readdirplus operation on the back-end storage system. Readdirplus is a standard NFS API also called extended read that returns directory metadata, which causes the cache to compare and update files. Use a domain name only if your cache has access to a DNS server that can resolve the name.
You can enter multiple IP addresses if your storage system is referenced by multiple IPs. Usage model - Choose one of the data caching profiles based on your workflow, described in Choose a usage model above.
Use the Azure CLI command az hpc-cache nfs-storage-target add to create the storage target. You can use a fully qualified domain name here if your cache has access to a DNS server that can resolve the name.
Verify the names of the usage models with the command az hpc-cache usage-model list. An NFS storage target can have multiple virtual paths, as long as each path represents a different export or subdirectory on the same storage system.
Create all of the paths for one storage system on one storage target. You can add and edit namespace paths on a storage target at any time. Read Configure aggregated namespace to learn more about the virtual namespace feature. Read NFS 3. For example:. Like an NFS storage target, you need to set a cache usage model. Because NFS-enabled blob containers have an NFS-compatible hierarchical structure, you do not need to use the cache to ingest data, and the containers are readable by other NFS systems.
When you use a standard blob container as an HPC Cache storage target, the data is written in a proprietary format and can only be accessed from other Azure HPC Cache-compatible products. If you don't use the same virtual network for the cache and the storage account, make sure that the cache's vnet can access the storage account's vnet. After your storage account is set up you can create a new container when you create the storage target. Additional methods are in development. Storage account - Select the account that you want to use.
If your NFS-enabled storage account does not appear in the list, check that it conforms to the prerequisites and that the cache can access it. You can use the Azure portal or the Azure CLI to show the storage targets already defined for your cache.
From the Azure portal, open your cache instance and click Storage targets , which is under the Settings heading on the left sidebar. The storage targets page lists all existing targets and controls for adding or deleting them. Read View and manage storage targets and Edit storage targets to learn more.
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