Allocating memory for the /tmp directory
- In the management console
, navigate to the folder containing the function. - Go to Cloud Functions.
- Select the function.
- Navigate to the Editor tab.
- In the Memory section under Additional settings, enable Allocate memory for the /tmp directory.
- In the Allocated memory field, specify the amount of memory to allocate.
- Click Save changes.
If you do not have the Yandex Cloud CLI yet, install and initialize it.
The folder used by default is the one specified when creating the CLI profile. To change the default folder, use the yc config set folder-id <folder_ID> command. You can also specify a different folder for any command using --folder-name or --folder-id. If you access a resource by its name, the search will be limited to the default folder. If you access a resource by its ID, the search will be global, i.e., through all folders based on access permissions.
To allocate some RAM for the /tmp directory, run this command:
yc serverless function version create \
--function-name=<function_name> \
--runtime <runtime> \
--entrypoint <entry_point> \
--memory <RAM_amount> \
--source-version-id <version_ID> \
--tmpfs-size <RAM_size_for_tmp>
Where:
--function-name: Function name.--runtime: Runtime.--entrypoint: Entry point in<function_file_name>.<handler_name>format.--memory: Amount of 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/tmpdirectory.
With Terraform
Terraform is distributed under the Business Source License
For more information about the provider resources, see the relevant documentation on the Terraform
If you do not have Terraform yet, install it and configure the Yandex Cloud provider.
To allocate some RAM for the /tmp directory:
-
In the configuration file, add the
tmpfs_sizeargument for theyandex_functionresource 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>" entrypoint = "<entry_point>" memory = "<RAM_amount>" tmpfs_size = "<RAM_size_for_tmp>" content { zip_filename = "<path_to_ZIP_archive>" } }For more information about
yandex_functionresource properties, see this provider guide. -
Validate your configuration using this command:
terraform validateIf the configuration is valid, you will get this message:
Success! The configuration is valid. -
Run this command:
terraform planYou will see a list of resources and their properties. No changes will be made at this step. Terraform will show any errors in the configuration.
-
Apply the configuration changes:
terraform apply -
Type
yesand press Enter to confirm the changes.
You can use the management console/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.