Package 'paws.storage'

Description

Backup

Backup is a unified backup service designed to protect Amazon Web Services services and their associated data. Backup simplifies the creation, migration, restoration, and deletion of backups, while also providing reporting and auditing.

Usage

backup(config = list(), credentials = list(), endpoint = NULL, region = NULL)

Arguments

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- backup(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

Examples

## Not run: 
svc <- backup()
svc$associate_backup_vault_mpa_approval_team(
  Foo = 123
)

## End(Not run)

Description

With Amazon Data Lifecycle Manager, you can manage the lifecycle of your Amazon Web Services resources. You create lifecycle policies, which are used to automate operations on the specified resources.

Amazon Data Lifecycle Manager supports Amazon EBS volumes and snapshots. For information about using Amazon Data Lifecycle Manager with Amazon EBS, see Amazon Data Lifecycle Manager in the Amazon EC2 User Guide.

Usage

dlm(config = list(), credentials = list(), endpoint = NULL, region = NULL)

Arguments

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- dlm(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

Examples

## Not run: 
svc <- dlm()
svc$create_lifecycle_policy(
  Foo = 123
)

## End(Not run)

Description

You can use the Amazon Elastic Block Store (Amazon EBS) direct APIs to create Amazon EBS snapshots, write data directly to your snapshots, read data on your snapshots, and identify the differences or changes between two snapshots. If you’re an independent software vendor (ISV) who offers backup services for Amazon EBS, the EBS direct APIs make it more efficient and cost-effective to track incremental changes on your Amazon EBS volumes through snapshots. This can be done without having to create new volumes from snapshots, and then use Amazon Elastic Compute Cloud (Amazon EC2) instances to compare the differences.

You can create incremental snapshots directly from data on-premises into volumes and the cloud to use for quick disaster recovery. With the ability to write and read snapshots, you can write your on-premises data to an snapshot during a disaster. Then after recovery, you can restore it back to Amazon Web Services or on-premises from the snapshot. You no longer need to build and maintain complex mechanisms to copy data to and from Amazon EBS.

This API reference provides detailed information about the actions, data types, parameters, and errors of the EBS direct APIs. For more information about the elements that make up the EBS direct APIs, and examples of how to use them effectively, see Accessing the Contents of an Amazon EBS Snapshot in the Amazon Elastic Compute Cloud User Guide. For more information about the supported Amazon Web Services Regions, endpoints, and service quotas for the EBS direct APIs, see Amazon Elastic Block Store Endpoints and Quotas in the Amazon Web Services General Reference.

Usage

ebs(config = list(), credentials = list(), endpoint = NULL, region = NULL)

Arguments

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- ebs(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

Examples

## Not run: 
svc <- ebs()
svc$complete_snapshot(
  Foo = 123
)

## End(Not run)

Description

Amazon Elastic File System (Amazon EFS) provides simple, scalable file storage for use with Amazon EC2 Linux and Mac instances in the Amazon Web Services Cloud. With Amazon EFS, storage capacity is elastic, growing and shrinking automatically as you add and remove files, so that your applications have the storage they need, when they need it. For more information, see the Amazon Elastic File System API Reference and the Amazon Elastic File System User Guide.

Usage

efs(config = list(), credentials = list(), endpoint = NULL, region = NULL)

Arguments

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- efs(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

Examples

## Not run: 
svc <- efs()
# This operation creates a new, encrypted file system with automatic
# backups enabled, and the default generalpurpose performance mode.
svc$create_file_system(
  Backup = TRUE,
  CreationToken = "tokenstring",
  Encrypted = TRUE,
  PerformanceMode = "generalPurpose",
  Tags = list(
    list(
      Key = "Name",
      Value = "MyFileSystem"
    )
  )
)

## End(Not run)

Description

The FinSpace APIs let you take actions inside the FinSpace.

Usage

finspacedata(
  config = list(),
  credentials = list(),
  endpoint = NULL,
  region = NULL
)

Arguments

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- finspacedata(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

Examples

## Not run: 
svc <- finspacedata()
svc$associate_user_to_permission_group(
  Foo = 123
)

## End(Not run)

Description

Amazon FSx is a fully managed service that makes it easy for storage and application administrators to launch and use shared file storage.

Usage

fsx(config = list(), credentials = list(), endpoint = NULL, region = NULL)

Arguments

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- fsx(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

Examples

## Not run: 
svc <- fsx()
# This operation copies an Amazon FSx backup.
svc$copy_backup(
  SourceBackupId = "backup-03e3c82e0183b7b6b",
  SourceRegion = "us-east-2"
)

## End(Not run)

Description

Amazon Glacier (Glacier) is a storage solution for "cold data."

Glacier is an extremely low-cost storage service that provides secure, durable, and easy-to-use storage for data backup and archival. With Glacier, customers can store their data cost effectively for months, years, or decades. Glacier also enables customers to offload the administrative burdens of operating and scaling storage to AWS, so they don't have to worry about capacity planning, hardware provisioning, data replication, hardware failure and recovery, or time-consuming hardware migrations.

Glacier is a great storage choice when low storage cost is paramount and your data is rarely retrieved. If your application requires fast or frequent access to your data, consider using Amazon S3. For more information, see Amazon Simple Storage Service (Amazon S3).

You can store any kind of data in any format. There is no maximum limit on the total amount of data you can store in Glacier.

If you are a first-time user of Glacier, we recommend that you begin by reading the following sections in the Amazon Glacier Developer Guide:

• What is Amazon Glacier - This section of the Developer Guide describes the underlying data model, the operations it supports, and the AWS SDKs that you can use to interact with the service.

• Getting Started with Amazon Glacier - The Getting Started section walks you through the process of creating a vault, uploading archives, creating jobs to download archives, retrieving the job output, and deleting archives.

Usage

glacier(config = list(), credentials = list(), endpoint = NULL, region = NULL)

Arguments

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- glacier(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

Examples

## Not run: 
svc <- glacier()
# The example deletes an in-progress multipart upload to a vault named
# my-vault:
svc$abort_multipart_upload(
  accountId = "-",
  uploadId = "19gaRezEXAMPLES6Ry5YYdqthHOC_kGRCT03L9yetr220UmPtBYKk-OssZtLq...",
  vaultName = "my-vault"
)

## End(Not run)

Description

Amazon Web Services HealthOmics is a service that helps users such as bioinformaticians, researchers, and scientists to store, query, analyze, and generate insights from genomics and other biological data. It simplifies and accelerates the process of storing and analyzing genomic information for Amazon Web Services.

For an introduction to the service, see What is Amazon Web Services HealthOmics? in the Amazon Web Services HealthOmics User Guide.

Usage

omics(config = list(), credentials = list(), endpoint = NULL, region = NULL)

Arguments

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- omics(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

Examples

## Not run: 
svc <- omics()
svc$abort_multipart_read_set_upload(
  Foo = 123
)

## End(Not run)

Description

This is the Recycle Bin API Reference. This documentation provides descriptions and syntax for each of the actions and data types in Recycle Bin.

Recycle Bin is a resource recovery feature that enables you to restore accidentally deleted EBS volumes, EBS snapshots, and EBS-backed AMIs. When using Recycle Bin, if your resources are deleted, they are retained in the Recycle Bin for a time period that you specify.

You can restore a resource from the Recycle Bin at any time before its retention period expires. After you restore a resource from the Recycle Bin, the resource is removed from the Recycle Bin, and you can then use it in the same way you use any other resource of that type in your account. If the retention period expires and the resource is not restored, the resource is permanently deleted from the Recycle Bin and is no longer available for recovery. For more information about Recycle Bin, see Recycle Bin in the Amazon Elastic Compute Cloud User Guide.

Usage

recyclebin(
  config = list(),
  credentials = list(),
  endpoint = NULL,
  region = NULL
)

Arguments

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- recyclebin(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

Examples

## Not run: 
svc <- recyclebin()
svc$create_rule(
  Foo = 123
)

## End(Not run)

Description

Amazon Simple Storage Service

Usage

s3(config = list(), credentials = list(), endpoint = NULL, region = NULL)

Arguments

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- s3(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

Examples

## Not run: 
svc <- s3()
# The following example aborts a multipart upload.
svc$abort_multipart_upload(
  Bucket = "examplebucket",
  Key = "bigobject",
  UploadId = "xadcOB_7YPBOJuoFiQ9cz4P3Pe6FIZwO4f7wN93uHsNBEw97pl5eNwzExg0LA..."
)

## End(Not run)

Description

Amazon Web Services S3 Control provides access to Amazon S3 control plane actions.

Usage

s3control(
  config = list(),
  credentials = list(),
  endpoint = NULL,
  region = NULL
)

Arguments

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- s3control(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

Examples

## Not run: 
svc <- s3control()
svc$associate_access_grants_identity_center(
  Foo = 123
)

## End(Not run)

Description

Amazon S3 on Outposts provides access to S3 on Outposts operations.

Usage

s3outposts(
  config = list(),
  credentials = list(),
  endpoint = NULL,
  region = NULL
)

Arguments

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- s3outposts(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

Examples

## Not run: 
svc <- s3outposts()
svc$create_endpoint(
  Foo = 123
)

## End(Not run)

Description

An Amazon S3 table represents a structured dataset consisting of tabular data in Apache Parquet format and related metadata. This data is stored inside an S3 table as a subresource. All tables in a table bucket are stored in the Apache Iceberg table format. Through integration with the Amazon Web Services Glue Data Catalog you can interact with your tables using Amazon Web Services analytics services, such as Amazon Athena and Amazon Redshift. Amazon S3 manages maintenance of your tables through automatic file compaction and snapshot management. For more information, see Amazon S3 table buckets.

Usage

s3tables(config = list(), credentials = list(), endpoint = NULL, region = NULL)

Arguments

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- s3tables(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

Examples

## Not run: 
svc <- s3tables()
svc$create_namespace(
  Foo = 123
)

## End(Not run)

Description

Storage Gateway Service

Amazon FSx File Gateway is no longer available to new customers. Existing customers of FSx File Gateway can continue to use the service normally. For capabilities similar to FSx File Gateway, visit this blog post.

Storage Gateway is the service that connects an on-premises software appliance with cloud-based storage to provide seamless and secure integration between an organization's on-premises IT environment and the Amazon Web Services storage infrastructure. The service enables you to securely upload data to the Amazon Web Services Cloud for cost effective backup and rapid disaster recovery.

Use the following links to get started using the Storage Gateway Service API Reference:

• Storage Gateway required request headers: Describes the required headers that you must send with every POST request to Storage Gateway.

• Signing requests: Storage Gateway requires that you authenticate every request you send; this topic describes how sign such a request.

• Error responses: Provides reference information about Storage Gateway errors.

• Operations in Storage Gateway: Contains detailed descriptions of all Storage Gateway operations, their request parameters, response elements, possible errors, and examples of requests and responses.

• Storage Gateway endpoints and quotas: Provides a list of each Amazon Web Services Region and the endpoints available for use with Storage Gateway.

Storage Gateway resource IDs are in uppercase. When you use these resource IDs with the Amazon EC2 API, EC2 expects resource IDs in lowercase. You must change your resource ID to lowercase to use it with the EC2 API. For example, in Storage Gateway the ID for a volume might be vol-AA22BB012345DAF670. When you use this ID with the EC2 API, you must change it to vol-aa22bb012345daf670. Otherwise, the EC2 API might not behave as expected.

IDs for Storage Gateway volumes and Amazon EBS snapshots created from gateway volumes are changing to a longer format. Starting in December 2016, all new volumes and snapshots will be created with a 17-character string. Starting in April 2016, you will be able to use these longer IDs so you can test your systems with the new format. For more information, see Longer EC2 and EBS resource IDs.

For example, a volume Amazon Resource Name (ARN) with the longer volume ID format looks like the following:

⁠arn:aws:storagegateway:us-west-2:111122223333:gateway/sgw-12A3456B/volume/vol-1122AABBCCDDEEFFG⁠.

A snapshot ID with the longer ID format looks like the following: ⁠snap-78e226633445566ee⁠.

For more information, see Announcement: Heads-up – Longer Storage Gateway volume and snapshot IDs coming in 2016.

Usage

storagegateway(
  config = list(),
  credentials = list(),
  endpoint = NULL,
  region = NULL
)

Arguments

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- storagegateway(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

Examples

## Not run: 
svc <- storagegateway()
# Activates the gateway you previously deployed on your host.
svc$activate_gateway(
  ActivationKey = "29AV1-3OFV9-VVIUB-NKT0I-LRO6V",
  GatewayName = "My_Gateway",
  GatewayRegion = "us-east-1",
  GatewayTimezone = "GMT-12:00",
  GatewayType = "STORED",
  MediumChangerType = "AWS-Gateway-VTL",
  TapeDriveType = "IBM-ULT3580-TD5"
)

## End(Not run)