Mounting buckets to a container
You can mount Yandex Object Storage buckets to a container. Mounting a bucket automatically creates a new container revision.
To mount buckets to a container:
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In the management console
, select the folder with your container. -
Navigate to Serverless Containers.
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Select the container.
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Navigate to the Editor tab.
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In the Settings section, select or create a service account with one of these roles:
storage.viewerto only read data from the mounted bucket.storage.uploaderto read and write data from/to the mounted bucket.
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Under Mounted buckets:
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Click Add bucket.
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Specify the following:
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Mount path: Absolute mount path. Use this path to access the directory the bucket will be mounted to.
Do not use this path for anything other than an empty directory; otherwise, container initialization may fail, and the mounted buckets may become unavailable.
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Bucket: Bucket you want to mount. Create a new bucket, if required.
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Directory: Bucket folder that will be mounted to the container. Leave this field empty to mount the entire bucket.
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Enable Read-only to prevent writing to the bucket. With this option enabled, data from the mounted bucket will be read-only.
To mount an additional bucket to the container, click Add bucket again and configure the settings as needed.
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Click Create revision.
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.
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:
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--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 thestorage.viewerrole for bucket read access or thestorage.uploaderrole for both read and write access. -
--command: Commands the container will run when started. Separate them by commas. It matches theENTRYPOINTinstruction in the Dockerfile. -
--args: Arguments matching theCMDinstruction in the Dockerfile. Specify them inkey = valueformat separated by commas. If you skip this setting, the defaultCMDvalue from the Docker image will be used. -
--mount: Object Storage bucket mount settings:type: Mounted storage type. For a bucket, the value is alwaysobject-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) orrw(read and write).
To mount several buckets to a container at the same time, specify
--mountas many times as you need.
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 manage infrastructure using Terraform under a service account or user accounts (a Yandex account, a federated account, or a local user), authenticate using the appropriate method.
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Open the Terraform configuration file and add the
mountssection 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:
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mounts: Object Storage bucket mount settings: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) orrw(read and write).object_storage: Bucket settings:
To mount several buckets to a container at the same time, specify
mountsas many times as you need.
For more information about
yandex_serverless_containerproperties, see this provider guide. -
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Apply the changes:
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In the terminal, navigate to the configuration file directory.
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Make sure the configuration is correct 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.
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Apply the configuration changes:
terraform apply -
Type
yesand press Enter to confirm the changes.
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You can check the container revision update and its settings using the management console
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.