Mounting a bucket to a container

If you do not have the Yandex Cloud CLI 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 parameters.

Run this command:

yc serverless container revision deploy \
  --container-name <container_name> \
  --image <Docker_image_URL> \
  --memory <RAM_size> \
  --execution-timeout <execution_timeout> \
  --service-account-id <service_account_ID> \
  --command '<command_1>','<command_2>' \
  --args '<key_1=value_1>','<key_2=value_2>' \
  --mount type=object-storage,mount-point=<mount_path>,bucket=<bucket_name>,prefix=<directory_name>,mode=<mount_mode>

Where:

• --container-name: Container name.

• --image: URL of the Docker image you are creating a container revision from in the following format: cr.yandex/<registry_ID>/<Docker_image_name>:<tag>.

• --memory: Required RAM.

• --execution-timeout: Maximum container execution time before timeout.

• --service-account-id: Service account ID. The service account needs the storage.viewer role to read from the bucket or the storage.uploader role to both read and write.

• --command: Commands the container will run when started. Separate them by commas. It matches the ENTRYPOINT instruction in the Dockerfile.

• --args: Arguments matching the CMD instruction in the Dockerfile. Specify them in key = value format separated by commas. If you do not specify this parameter, the default CMD value from the Docker image will be used.

• --mount: Object Storage bucket mounting parameters:

  • type: Mounted storage type. For a bucket, the value is always object-storage.
  • mount-point: Absolute mount path. Use this path to access the directory the bucket will be mounted to.
  • bucket: Bucket name.
  • prefix: Bucket folder that will be mounted to the container. Skip this field or leave it empty to mount the entire bucket.
  • mode: Bucket mount mode, ro (read-only) or rw (read and write).

  To mount several buckets to the container at the same time, set the --mount parameter as many times as you need.

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 documentation on the Terraform website or mirror website.

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

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

   resource "yandex_serverless_container" "test-container" {
     ...
   
     mounts {
       mount_point_path = "<mount_point>"
       mode             = "<mount_mode>"
       object_storage {
         bucket = "<bucket_name>"
         prefix = "<directory_name>"
       }
     }
   }
   

   Where:

   • mounts: Object Storage bucket mounting parameters:

     • mount_point_path: Absolute mount path. Use this path to access the directory the bucket will be mounted to.
     • mode: Bucket mount mode, ro (read-only) or rw (read and write).
     • object_storage: Bucket parameters:
       • bucket: Bucket name.
       • prefix: Bucket folder that will be mounted to the container. Leave this field empty to mount the entire bucket.

     To mount several buckets to the container at the same time, set the mounts section as many times as you need.

   For more information about the yandex_serverless_container resource parameters, see this Terraform article.

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 container revision update and its settings using the management console or this CLI command:

yc serverless container revision get <container_revision_ID>

Use the deployRevision REST API method for the Container resource or the ContainerService/DeployRevision gRPC API call.