Mounting an ephemeral disk to a function

If you do not have the Yandex Cloud command line interface yet, install and initialize it.

The folder specified in the CLI profile is used by default. You can specify a different folder using the --folder-name or --folder-id parameter.

To mount an ephemeral disk to a function, run this command:

yc serverless function version create \
  --function-name=<function_name> \
  --runtime <runtime_environment> \
  --entrypoint <entry_point> \
  --memory <RAM_amount> \
  --execution-timeout <execution_timeout> \
  --source-path <path_to_ZIP_archive> \
  --service-account-id <service_account_ID> \
  --mount type=ephemeral-disk,mount-point=<mount_point>,size=<disk_size>

Where:

• --function-name: Function name.
• --runtime: Runtime environment.
• --entrypoint: Entry point in the following format: <file_name_without_extension>.<listener_name>.
• --memory: Amount of RAM.
• --execution-timeout: Maximum function running time before the timeout is reached.
• --source-path: ZIP archive with the function code and required dependencies.
• --service-account-id: Service account ID.
• --mount: Ephemeral disk mounting parameters:
  • type=ephemeral-disk: Type of the file system being mounted.
  • mount-point: Name of the mount point. The directory with the mounted disk will be accessible at /function/storage/<mount_point>.
  • size: Ephemeral disk size in GB, e.g., size=5GB.

Terraform allows you to quickly create a cloud infrastructure in Yandex Cloud and manage it using configuration files. Configuration files store the infrastructure description in the HashiCorp Configuration Language (HCL). Terraform and its providers are distributed under the Business Source License.

For more information about the provider resources, see the documentation on the Terraform website or the mirror.

If you change the configuration files, Terraform automatically detects which part of your configuration is already deployed, and what should be added or removed.

If you don't have Terraform, install it and configure the Yandex Cloud provider.

To mount an ephemeral disk to a function:

1. Open the Terraform configuration file and add the mounts section to the function description:

   resource "yandex_function" "ephemeral_storage_function" {
     name               = "<function_name>"
     user_hash          = "<function_hash>"
     runtime            = "<runtime_environment>"
     entrypoint         = "<entry_point>"
     memory             = "<RAM_amount>"
     execution_timeout  = "<execution_timeout>"
     service_account_id = "<service_account_ID>"
     content {
       zip_filename = "<path_to_ZIP_archive>"
     }
   
     mounts {
       name = "<mount_point>"
       ephemeral_disk {
         size_gb = <disk_size>
       }
     }
   }
   

   Where:

   • mounts: Ephemeral disk mounting parameters:
     • name: Name of the mount point. The directory with the mounted disk will be accessible at /function/storage/<mount_point>.
     • size_gb: Ephemeral disk size in GB, e.g., size=5GB.

   For more information about the yandex_function resource parameters, see the provider documentation.

2. Apply the changes:

   1. In the terminal, change to the folder where you edited the configuration file.

   2. Make sure the configuration file is correct using the command:

      terraform validate
      

      If the configuration is correct, the following message is returned:

      Success! The configuration is valid.
      

   3. Run the command:

      terraform plan
      

      The terminal will display a list of resources with parameters. No changes are made at this step. If the configuration contains errors, Terraform will point them out.

   4. Apply the configuration changes:

      terraform apply
      

   5. Confirm the changes: type yes in the terminal and press Enter.

You can check the function update and its new configuration using the management console or this CLI command:

yc serverless function version get <function_version_ID>

To mount an ephemeral disk to a function, use the createVersion REST API method for the Function resource or the FunctionService/CreateVersion gRPC API call.