Allocating memory for the /tmp directory
- In the management console
, select the folder containing the function. - Select Cloud Functions.
- Select a function.
- Go 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 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/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 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 the
yandex_functionresource properties, see the provider documentation. -
Check the configuration using this command:
terraform validateIf the configuration is correct, you will get this message:
Success! The configuration is valid. -
Run this command:
terraform planThe terminal will display a list of resources with parameters. No changes will be made at this step. If the configuration contains any errors, Terraform will point them out.
-
Apply the configuration changes:
terraform apply -
Confirm the changes: type
yesinto the terminal and press Enter.
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.