Allocating memory for the /tmp directory

If you do not have the Yandex Cloud CLI installed yet, install and initialize it.

By default, the CLI uses the folder specified when creating the profile. To change the default folder, use the yc config set folder-id <folder_ID> command. You can also set a different folder for any specific command using the --folder-name or --folder-id parameter.

To allocate some RAM for the /tmp directory, run this command:

yc serverless function version create \
  --function-name=<function_name> \
  --runtime <runtime_environment> \
  --entrypoint <entry_point> \
  --memory <RAM_size> \
  --source-version-id <version_ID> \
  --tmpfs-size <RAM_size_for_tmp>

Where:

• --function-name: Function name.
• --runtime: Runtime environment.
• --entrypoint: Entry point in <function_file_name>.<handler_name> format.
• --memory: Amount of memory (RAM).
• --source-version-id: ID of the function version from which you want to copy the code.
• --tmpfs-size: RAM amount you want to allocate for the /tmp directory.

With Terraform, you can quickly create a cloud infrastructure in Yandex Cloud and manage it using configuration files. These files store the infrastructure description written in HashiCorp Configuration Language (HCL). If you change the configuration files, Terraform automatically detects which part of your configuration is already deployed, and what should be added or removed.

Terraform is distributed under the Business Source License. The Yandex Cloud provider for Terraform is distributed under the MPL-2.0 license.

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

If you do not have Terraform yet, install it and configure the Yandex Cloud provider.

To allocate some RAM for the /tmp directory:

1. In the configuration file, add the tmpfs_size argument for the yandex_function resource and specify the amount of RAM to allocate.

   Example of a function description in the Terraform configuration:

   resource "yandex_function" "test-function" {
       name               = "<function_name>"
       user_hash          = "<hash>"
       runtime            = "<runtime_environment>"
       entrypoint         = "<entry_point>"
       memory             = "<RAM_size>"
       tmpfs_size         = "<RAM_size_for_tmp>"
       
       content {
           zip_filename = "<path_to_ZIP_archive>"
       }
   }
   

   For more information about yandex_function properties, see this Terraform article.

2. Check the configuration using this command:

   terraform validate
   

   If the configuration is correct, you will get this message:

   Success! The configuration is valid.
   

3. Run this command:

   terraform plan
   

   You will see a detailed list of resources. No changes will be made at this step. If the configuration contains any errors, Terraform will show them.

4. Apply the changes:

   terraform apply
   

5. Type yes and press Enter to confirm the changes.

You can use the management console to check memory allocation for the /tmp directory.

To allocate some RAM for the /tmp directory, use the createVersion REST API method for the Function resource or the FunctionService/CreateVersion gRPC API call.