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 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 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.
Terraform
For more information about the provider resources, see the documentation on the Terraform
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 allocate some RAM for the /tmp
directory:
-
In the configuration file, add the
tmpfs_size
argument for theyandex_function
resource 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_function
resource properties, see the provider documentation . -
Check the configuration using this command:
terraform validate
If the configuration is correct, you will get this message:
Success! The configuration is valid.
-
Run this command:
terraform plan
The 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
yes
into 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.