aws

# WARNING: DO NOT EDIT, AUTO-GENERATED CODE!
# See https://github.com/aws-beam/aws-codegen for more details.

defmodule AWS.FSx do
  @moduledoc """
  Amazon FSx is a fully managed service that makes it easy for storage and
  application administrators to launch and use shared file storage.
  """

  alias AWS.Client
  alias AWS.Request

  def metadata do
    %AWS.ServiceMetadata{
      abbreviation: nil,
      api_version: "2018-03-01",
      content_type: "application/x-amz-json-1.1",
      credential_scope: nil,
      endpoint_prefix: "fsx",
      global?: false,
      protocol: "json",
      service_id: "FSx",
      signature_version: "v4",
      signing_name: "fsx",
      target_prefix: "AWSSimbaAPIService_v20180301"
    }
  end

  @doc """
  Use this action to associate one or more Domain Name Server (DNS) aliases with
  an existing Amazon FSx for Windows File Server file system.

  A file system can have a maximum of 50 DNS aliases associated with it at any one
  time. If you try to associate a DNS alias that is already associated with the
  file system, FSx takes no action on that alias in the request. For more
  information, see [Working with DNS Aliases](https://docs.aws.amazon.com/fsx/latest/WindowsGuide/managing-dns-aliases.html)
  and [Walkthrough 5: Using DNS aliases to access your file system](https://docs.aws.amazon.com/fsx/latest/WindowsGuide/walkthrough05-file-system-custom-CNAME.html),
  including additional steps you must take to be able to access your file system
  using a DNS alias.

  The system response shows the DNS aliases that Amazon FSx is attempting to
  associate with the file system. Use the API operation to monitor the status of
  the aliases Amazon FSx is associating with the file system.
  """
  def associate_file_system_aliases(%Client{} = client, input, options \\ []) do
    Request.request_post(client, metadata(), "AssociateFileSystemAliases", input, options)
  end

  @doc """
  Cancels an existing Amazon FSx for Lustre data repository task if that task is
  in either the `PENDING` or `EXECUTING` state.

  When you cancel a task, Amazon FSx does the following.

    * Any files that FSx has already exported are not reverted.

    * FSx continues to export any files that are "in-flight" when the
  cancel operation is received.

    * FSx does not export any files that have not yet been exported.
  """
  def cancel_data_repository_task(%Client{} = client, input, options \\ []) do
    Request.request_post(client, metadata(), "CancelDataRepositoryTask", input, options)
  end

  @doc """
  Copies an existing backup within the same Amazon Web Services account to another
  Amazon Web Services Region (cross-Region copy) or within the same Amazon Web
  Services Region (in-Region copy).

  You can have up to five backup copy requests in progress to a single destination
  Region per account.

  You can use cross-Region backup copies for cross-Region disaster recovery. You
  can periodically take backups and copy them to another Region so that in the
  event of a disaster in the primary Region, you can restore from backup and
  recover availability quickly in the other Region. You can make cross-Region
  copies only within your Amazon Web Services partition. A partition is a grouping
  of Regions. Amazon Web Services currently has three partitions: `aws` (Standard
  Regions), `aws-cn` (China Regions), and `aws-us-gov` (Amazon Web Services
  GovCloud [US] Regions).  You can also use backup copies to clone your file dataset to another Region or
  within the same Region.

  You can use the `SourceRegion` parameter to specify the Amazon Web Services
  Region from which the backup will be copied. For example, if you make the call
  from the `us-west-1` Region and want to copy a backup from the `us-east-2`
  Region, you specify `us-east-2` in the `SourceRegion` parameter to make a
  cross-Region copy. If you don't specify a Region, the backup copy is created in
  the same Region where the request is sent from (in-Region copy).

  For more information about creating backup copies, see [ Copying
  backups](https://docs.aws.amazon.com/fsx/latest/WindowsGuide/using-backups.html#copy-backups)
  in the *Amazon FSx for Windows User Guide*, [Copying backups](https://docs.aws.amazon.com/fsx/latest/LustreGuide/using-backups-fsx.html#copy-backups)
  in the *Amazon FSx for Lustre User Guide*, and [Copying backups](https://docs.aws.amazon.com/fsx/latest/OpenZFSGuide/using-backups.html#copy-backups)
  in the *Amazon FSx for OpenZFS User Guide*.
  """
  def copy_backup(%Client{} = client, input, options \\ []) do
    Request.request_post(client, metadata(), "CopyBackup", input, options)
  end

  @doc """
  Creates a backup of an existing Amazon FSx for Windows File Server file system,
  Amazon FSx for Lustre file system, Amazon FSx for NetApp ONTAP volume, or Amazon
  FSx for OpenZFS file system.

  We recommend creating regular backups so that you can restore a file system or
  volume from a backup if an issue arises with the original file system or volume.

  For Amazon FSx for Lustre file systems, you can create a backup only for file
  systems that have the following configuration:

    * A Persistent deployment type

    * Are *not* linked to a data repository

  For more information about backups, see the following:

    * For Amazon FSx for Lustre, see [Working with FSx for Lustre backups](https://docs.aws.amazon.com/fsx/latest/LustreGuide/using-backups-fsx.html).

    * For Amazon FSx for Windows, see [Working with FSx for Windows backups](https://docs.aws.amazon.com/fsx/latest/WindowsGuide/using-backups.html).

    * For Amazon FSx for NetApp ONTAP, see [Working with FSx for NetApp ONTAP
  backups](https://docs.aws.amazon.com/fsx/latest/ONTAPGuide/using-backups.html).

    * For Amazon FSx for OpenZFS, see [Working with FSx for OpenZFS backups](https://docs.aws.amazon.com/fsx/latest/OpenZFSGuide/using-backups.html).

  If a backup with the specified client request token exists and the parameters
  match, this operation returns the description of the existing backup. If a
  backup with the specified client request token exists and the parameters don't
  match, this operation returns `IncompatibleParameterError`. If a backup with the
  specified client request token doesn't exist, `CreateBackup` does the following:

    * Creates a new Amazon FSx backup with an assigned ID, and an
  initial lifecycle state of `CREATING`.

    * Returns the description of the backup.

  By using the idempotent operation, you can retry a `CreateBackup` operation
  without the risk of creating an extra backup. This approach can be useful when
  an initial call fails in a way that makes it unclear whether a backup was
  created. If you use the same client request token and the initial call created a
  backup, the operation returns a successful result because all the parameters are
  the same.

  The `CreateBackup` operation returns while the backup's lifecycle state is still
  `CREATING`. You can check the backup creation status by calling the
  [DescribeBackups](https://docs.aws.amazon.com/fsx/latest/APIReference/API_DescribeBackups.html)
  operation, which returns the backup state along with other information.
  """
  def create_backup(%Client{} = client, input, options \\ []) do
    Request.request_post(client, metadata(), "CreateBackup", input, options)
  end

  @doc """
  Creates an Amazon FSx for Lustre data repository association (DRA).

  A data repository association is a link between a directory on the file system
  and an Amazon S3 bucket or prefix. You can have a maximum of 8 data repository
  associations on a file system. Data repository associations are supported only
  for file systems with the `Persistent_2` deployment type.

  Each data repository association must have a unique Amazon FSx file system
  directory and a unique S3 bucket or prefix associated with it. You can configure
  a data repository association for automatic import only, for automatic export
  only, or for both. To learn more about linking a data repository to your file
  system, see [Linking your file system to an S3 bucket](https://docs.aws.amazon.com/fsx/latest/LustreGuide/create-dra-linked-data-repo.html).
  """
  def create_data_repository_association(%Client{} = client, input, options \\ []) do
    Request.request_post(client, metadata(), "CreateDataRepositoryAssociation", input, options)
  end

  @doc """
  Creates an Amazon FSx for Lustre data repository task.

  You use data repository tasks to perform bulk operations between your Amazon FSx
  file system and its linked data repositories. An example of a data repository
  task is exporting any data and metadata changes, including POSIX metadata, to
  files, directories, and symbolic links (symlinks) from your FSx file system to a
  linked data repository. A `CreateDataRepositoryTask` operation will fail if a
  data repository is not linked to the FSx file system. To learn more about data
  repository tasks, see [Data Repository Tasks](https://docs.aws.amazon.com/fsx/latest/LustreGuide/data-repository-tasks.html).
  To learn more about linking a data repository to your file system, see [Linking your file system to an S3
  bucket](https://docs.aws.amazon.com/fsx/latest/LustreGuide/create-dra-linked-data-repo.html).
  """
  def create_data_repository_task(%Client{} = client, input, options \\ []) do
    Request.request_post(client, metadata(), "CreateDataRepositoryTask", input, options)
  end

  @doc """
  Creates a new, empty Amazon FSx file system.

  You can create the following supported Amazon FSx file systems using the
  `CreateFileSystem` API operation:

    * Amazon FSx for Lustre

    * Amazon FSx for NetApp ONTAP

    * Amazon FSx for Windows File Server

  This operation requires a client request token in the request that Amazon FSx
  uses to ensure idempotent creation. This means that calling the operation
  multiple times with the same client request token has no effect. By using the
  idempotent operation, you can retry a `CreateFileSystem` operation without the
  risk of creating an extra file system. This approach can be useful when an
  initial call fails in a way that makes it unclear whether a file system was
  created. Examples are if a transport level timeout occurred, or your connection
  was reset. If you use the same client request token and the initial call created
  a file system, the client receives success as long as the parameters are the
  same.

  If a file system with the specified client request token exists and the
  parameters match, `CreateFileSystem` returns the description of the existing
  file system. If a file system with the specified client request token exists and
  the parameters don't match, this call returns `IncompatibleParameterError`. If a
  file system with the specified client request token doesn't exist,
  `CreateFileSystem` does the following:

    * Creates a new, empty Amazon FSx file system with an assigned ID,
  and an initial lifecycle state of `CREATING`.

    * Returns the description of the file system.

  This operation requires a client request token in the request that Amazon FSx
  uses to ensure idempotent creation. This means that calling the operation
  multiple times with the same client request token has no effect. By using the
  idempotent operation, you can retry a `CreateFileSystem` operation without the
  risk of creating an extra file system. This approach can be useful when an
  initial call fails in a way that makes it unclear whether a file system was
  created. Examples are if a transport-level timeout occurred, or your connection
  was reset. If you use the same client request token and the initial call created
  a file system, the client receives a success message as long as the parameters
  are the same.

  The `CreateFileSystem` call returns while the file system's lifecycle state is
  still `CREATING`. You can check the file-system creation status by calling the
  [DescribeFileSystems](https://docs.aws.amazon.com/fsx/latest/APIReference/API_DescribeFileSystems.html)
  operation, which returns the file system state along with other information.
  """
  def create_file_system(%Client{} = client, input, options \\ []) do
    Request.request_post(client, metadata(), "CreateFileSystem", input, options)
  end

  @doc """
  Creates a new Amazon FSx for Lustre, Amazon FSx for Windows File Server, or
  Amazon FSx for OpenZFS file system from an existing Amazon FSx backup.

  If a file system with the specified client request token exists and the
  parameters match, this operation returns the description of the file system. If
  a client request token with the specified by the file system exists and the
  parameters don't match, this call returns `IncompatibleParameterError`. If a
  file system with the specified client request token doesn't exist, this
  operation does the following:

    * Creates a new Amazon FSx file system from backup with an assigned
  ID, and an initial lifecycle state of `CREATING`.

    * Returns the description of the file system.

  Parameters like the Active Directory, default share name, automatic backup, and
  backup settings default to the parameters of the file system that was backed up,
  unless overridden. You can explicitly supply other settings.

  By using the idempotent operation, you can retry a `CreateFileSystemFromBackup`
  call without the risk of creating an extra file system. This approach can be
  useful when an initial call fails in a way that makes it unclear whether a file
  system was created. Examples are if a transport level timeout occurred, or your
  connection was reset. If you use the same client request token and the initial
  call created a file system, the client receives a success message as long as the
  parameters are the same.

  The `CreateFileSystemFromBackup` call returns while the file system's lifecycle
  state is still `CREATING`. You can check the file-system creation status by
  calling the [
  DescribeFileSystems](https://docs.aws.amazon.com/fsx/latest/APIReference/API_DescribeFileSystems.html)
  operation, which returns the file system state along with other information.
  """
  def create_file_system_from_backup(%Client{} = client, input, options \\ []) do
    Request.request_post(client, metadata(), "CreateFileSystemFromBackup", input, options)
  end

  @doc """
  Creates a snapshot of an existing Amazon FSx for OpenZFS file system.

  With snapshots, you can easily undo file changes and compare file versions by
  restoring the volume to a previous version.

  If a snapshot with the specified client request token exists, and the parameters
  match, this operation returns the description of the existing snapshot. If a
  snapshot with the specified client request token exists, and the parameters
  don't match, this operation returns `IncompatibleParameterError`. If a snapshot
  with the specified client request token doesn't exist, `CreateSnapshot` does the
  following:

    * Creates a new OpenZFS snapshot with an assigned ID, and an initial
  lifecycle state of `CREATING`.

    * Returns the description of the snapshot.

  By using the idempotent operation, you can retry a `CreateSnapshot` operation
  without the risk of creating an extra snapshot. This approach can be useful when
  an initial call fails in a way that makes it unclear whether a snapshot was
  created. If you use the same client request token and the initial call created a
  snapshot, the operation returns a successful result because all the parameters
  are the same.

  The `CreateSnapshot` operation returns while the snapshot's lifecycle state is
  still `CREATING`. You can check the snapshot creation status by calling the
  [DescribeSnapshots](https://docs.aws.amazon.com/fsx/latest/APIReference/API_DescribeSnapshots.html)
  operation, which returns the snapshot state along with other information.
  """
  def create_snapshot(%Client{} = client, input, options \\ []) do
    Request.request_post(client, metadata(), "CreateSnapshot", input, options)
  end

  @doc """
  Creates a storage virtual machine (SVM) for an Amazon FSx for ONTAP file system.
  """
  def create_storage_virtual_machine(%Client{} = client, input, options \\ []) do
    Request.request_post(client, metadata(), "CreateStorageVirtualMachine", input, options)
  end

  @doc """
  Creates an Amazon FSx for NetApp ONTAP or Amazon FSx for OpenZFS storage volume.
  """
  def create_volume(%Client{} = client, input, options \\ []) do
    Request.request_post(client, metadata(), "CreateVolume", input, options)
  end

  @doc """
  Creates a new Amazon FSx for NetApp ONTAP volume from an existing Amazon FSx
  volume backup.
  """
  def create_volume_from_backup(%Client{} = client, input, options \\ []) do
    Request.request_post(client, metadata(), "CreateVolumeFromBackup", input, options)
  end

  @doc """
  Deletes an Amazon FSx backup.

  After deletion, the backup no longer exists, and its data is gone.

  The `DeleteBackup` call returns instantly. The backup won't show up in later
  `DescribeBackups` calls.

  The data in a deleted backup is also deleted and can't be recovered by any
  means.
  """
  def delete_backup(%Client{} = client, input, options \\ []) do
    Request.request_post(client, metadata(), "DeleteBackup", input, options)
  end

  @doc """
  Deletes a data repository association on an Amazon FSx for Lustre file system.

  Deleting the data repository association unlinks the file system from the Amazon
  S3 bucket. When deleting a data repository association, you have the option of
  deleting the data in the file system that corresponds to the data repository
  association. Data repository associations are supported only for file systems
  with the `Persistent_2` deployment type.
  """
  def delete_data_repository_association(%Client{} = client, input, options \\ []) do
    Request.request_post(client, metadata(), "DeleteDataRepositoryAssociation", input, options)
  end

  @doc """
  Deletes a file system.

  After deletion, the file system no longer exists, and its data is gone. Any
  existing automatic backups and snapshots are also deleted.

  To delete an Amazon FSx for NetApp ONTAP file system, first delete all the
  volumes and storage virtual machines (SVMs) on the file system. Then provide a
  `FileSystemId` value to the `DeleFileSystem` operation.

  By default, when you delete an Amazon FSx for Windows File Server file system, a
  final backup is created upon deletion. This final backup isn't subject to the
  file system's retention policy, and must be manually deleted.

  The `DeleteFileSystem` operation returns while the file system has the
  `DELETING` status. You can check the file system deletion status by calling the
  [DescribeFileSystems](https://docs.aws.amazon.com/fsx/latest/APIReference/API_DescribeFileSystems.html)
  operation, which returns a list of file systems in your account. If you pass the
  file system ID for a deleted file system, the `DescribeFileSystems` operation
  returns a `FileSystemNotFound` error.

  If a data repository task is in a `PENDING` or `EXECUTING` state, deleting an
  Amazon FSx for Lustre file system will fail with an HTTP status code 400 (Bad
  Request).

  The data in a deleted file system is also deleted and can't be recovered by any
  means.
  """
  def delete_file_system(%Client{} = client, input, options \\ []) do
    Request.request_post(client, metadata(), "DeleteFileSystem", input, options)
  end

  @doc """
  Deletes the Amazon FSx snapshot.

  After deletion, the snapshot no longer exists, and its data is gone. Deleting a
  snapshot doesn't affect snapshots stored in a file system backup.

  The `DeleteSnapshot` operation returns instantly. The snapshot appears with the
  lifecycle status of `DELETING` until the deletion is complete.
  """
  def delete_snapshot(%Client{} = client, input, options \\ []) do
    Request.request_post(client, metadata(), "DeleteSnapshot", input, options)
  end

  @doc """
  Deletes an existing Amazon FSx for ONTAP storage virtual machine (SVM).

  Prior to deleting an SVM, you must delete all non-root volumes in the SVM,
  otherwise the operation will fail.
  """
  def delete_storage_virtual_machine(%Client{} = client, input, options \\ []) do
    Request.request_post(client, metadata(), "DeleteStorageVirtualMachine", input, options)
  end

  @doc """
  Deletes an Amazon FSx for NetApp ONTAP or Amazon FSx for OpenZFS volume.
  """
  def delete_volume(%Client{} = client, input, options \\ []) do
    Request.request_post(client, metadata(), "DeleteVolume", input, options)
  end

  @doc """
  Returns the description of a specific Amazon FSx backup, if a `BackupIds` value
  is provided for that backup.

  Otherwise, it returns all backups owned by your Amazon Web Services account in
  the Amazon Web Services Region of the endpoint that you're calling.

  When retrieving all backups, you can optionally specify the `MaxResults`
  parameter to limit the number of backups in a response. If more backups remain,
  Amazon FSx returns a `NextToken` value in the response. In this case, send a
  later request with the `NextToken` request parameter set to the value of the
  `NextToken` value from the last response.

  This operation is used in an iterative process to retrieve a list of your
  backups. `DescribeBackups` is called first without a `NextToken` value. Then the
  operation continues to be called with the `NextToken` parameter set to the value
  of the last `NextToken` value until a response has no `NextToken` value.

  When using this operation, keep the following in mind:

    * The operation might return fewer than the `MaxResults` value of
  backup descriptions while still including a `NextToken` value.

    * The order of the backups returned in the response of one
  `DescribeBackups` call and the order of the backups returned across the
  responses of a multi-call iteration is unspecified.
  """
  def describe_backups(%Client{} = client, input, options \\ []) do
    Request.request_post(client, metadata(), "DescribeBackups", input, options)
  end

  @doc """
  Returns the description of specific Amazon FSx for Lustre data repository
  associations, if one or more `AssociationIds` values are provided in the
  request, or if filters are used in the request.

  Data repository associations are supported only for file systems with the
  `Persistent_2` deployment type.

  You can use filters to narrow the response to include just data repository
  associations for specific file systems (use the `file-system-id` filter with the
  ID of the file system) or data repository associations for a specific repository
  type (use the `data-repository-type` filter with a value of `S3`). If you don't
  use filters, the response returns all data repository associations owned by your
  Amazon Web Services account in the Amazon Web Services Region of the endpoint
  that you're calling.

  When retrieving all data repository associations, you can paginate the response
  by using the optional `MaxResults` parameter to limit the number of data
  repository associations returned in a response. If more data repository
  associations remain, Amazon FSx returns a `NextToken` value in the response. In
  this case, send a later request with the `NextToken` request parameter set to
  the value of `NextToken` from the last response.
  """
  def describe_data_repository_associations(%Client{} = client, input, options \\ []) do
    Request.request_post(client, metadata(), "DescribeDataRepositoryAssociations", input, options)
  end

  @doc """
  Returns the description of specific Amazon FSx for Lustre data repository tasks,
  if one or more `TaskIds` values are provided in the request, or if filters are
  used in the request.

  You can use filters to narrow the response to include just tasks for specific
  file systems, or tasks in a specific lifecycle state. Otherwise, it returns all
  data repository tasks owned by your Amazon Web Services account in the Amazon
  Web Services Region of the endpoint that you're calling.

  When retrieving all tasks, you can paginate the response by using the optional
  `MaxResults` parameter to limit the number of tasks returned in a response. If
  more tasks remain, Amazon FSx returns a `NextToken` value in the response. In
  this case, send a later request with the `NextToken` request parameter set to
  the value of `NextToken` from the last response.
  """
  def describe_data_repository_tasks(%Client{} = client, input, options \\ []) do
    Request.request_post(client, metadata(), "DescribeDataRepositoryTasks", input, options)
  end

  @doc """
  Returns the DNS aliases that are associated with the specified Amazon FSx for
  Windows File Server file system.

  A history of all DNS aliases that have been associated with and disassociated
  from the file system is available in the list of `AdministrativeAction` provided
  in the `DescribeFileSystems` operation response.
  """
  def describe_file_system_aliases(%Client{} = client, input, options \\ []) do
    Request.request_post(client, metadata(), "DescribeFileSystemAliases", input, options)
  end

  @doc """
  Returns the description of specific Amazon FSx file systems, if a
  `FileSystemIds` value is provided for that file system.

  Otherwise, it returns descriptions of all file systems owned by your Amazon Web
  Services account in the Amazon Web Services Region of the endpoint that you're
  calling.

  When retrieving all file system descriptions, you can optionally specify the
  `MaxResults` parameter to limit the number of descriptions in a response. If
  more file system descriptions remain, Amazon FSx returns a `NextToken` value in
  the response. In this case, send a later request with the `NextToken` request
  parameter set to the value of `NextToken` from the last response.

  This operation is used in an iterative process to retrieve a list of your file
  system descriptions. `DescribeFileSystems` is called first without a
  `NextToken`value. Then the operation continues to be called with the `NextToken`
  parameter set to the value of the last `NextToken` value until a response has no
  `NextToken`.

  When using this operation, keep the following in mind:

    * The implementation might return fewer than `MaxResults` file
  system descriptions while still including a `NextToken` value.

    * The order of file systems returned in the response of one
  `DescribeFileSystems` call and the order of file systems returned across the
  responses of a multicall iteration is unspecified.
  """
  def describe_file_systems(%Client{} = client, input, options \\ []) do
    Request.request_post(client, metadata(), "DescribeFileSystems", input, options)
  end

  @doc """
  Returns the description of specific Amazon FSx snapshots, if a `SnapshotIds`
  value is provided.

  Otherwise, this operation returns all snapshots owned by your Amazon Web
  Services account in the Amazon Web Services Region of the endpoint that you're
  calling.

  When retrieving all snapshots, you can optionally specify the `MaxResults`
  parameter to limit the number of snapshots in a response. If more backups
  remain, Amazon FSx returns a `NextToken` value in the response. In this case,
  send a later request with the `NextToken` request parameter set to the value of
  `NextToken` from the last response.

  Use this operation in an iterative process to retrieve a list of your snapshots.
  `DescribeSnapshots` is called first without a `NextToken` value. Then the
  operation continues to be called with the `NextToken` parameter set to the value
  of the last `NextToken` value until a response has no `NextToken` value.

  When using this operation, keep the following in mind:

    * The operation might return fewer than the `MaxResults` value of
  snapshot descriptions while still including a `NextToken` value.

    * The order of snapshots returned in the response of one
  `DescribeSnapshots` call and the order of backups returned across the responses
  of a multi-call iteration is unspecified.
  """
  def describe_snapshots(%Client{} = client, input, options \\ []) do
    Request.request_post(client, metadata(), "DescribeSnapshots", input, options)
  end

  @doc """
  Describes one or more Amazon FSx for NetApp ONTAP storage virtual machines
  (SVMs).
  """
  def describe_storage_virtual_machines(%Client{} = client, input, options \\ []) do
    Request.request_post(client, metadata(), "DescribeStorageVirtualMachines", input, options)
  end

  @doc """
  Describes one or more Amazon FSx for NetApp ONTAP or Amazon FSx for OpenZFS
  volumes.
  """
  def describe_volumes(%Client{} = client, input, options \\ []) do
    Request.request_post(client, metadata(), "DescribeVolumes", input, options)
  end

  @doc """
  Use this action to disassociate, or remove, one or more Domain Name Service
  (DNS) aliases from an Amazon FSx for Windows File Server file system.

  If you attempt to disassociate a DNS alias that is not associated with the file
  system, Amazon FSx responds with a 400 Bad Request. For more information, see
  [Working with DNS Aliases](https://docs.aws.amazon.com/fsx/latest/WindowsGuide/managing-dns-aliases.html).

  The system generated response showing the DNS aliases that Amazon FSx is
  attempting to disassociate from the file system. Use the API operation to
  monitor the status of the aliases Amazon FSx is disassociating with the file
  system.
  """
  def disassociate_file_system_aliases(%Client{} = client, input, options \\ []) do
    Request.request_post(client, metadata(), "DisassociateFileSystemAliases", input, options)
  end

  @doc """
  Lists tags for an Amazon FSx file systems and backups in the case of Amazon FSx
  for Windows File Server.

  When retrieving all tags, you can optionally specify the `MaxResults` parameter
  to limit the number of tags in a response. If more tags remain, Amazon FSx
  returns a `NextToken` value in the response. In this case, send a later request
  with the `NextToken` request parameter set to the value of `NextToken` from the
  last response.

  This action is used in an iterative process to retrieve a list of your tags.
  `ListTagsForResource` is called first without a `NextToken`value. Then the
  action continues to be called with the `NextToken` parameter set to the value of
  the last `NextToken` value until a response has no `NextToken`.

  When using this action, keep the following in mind:

    * The implementation might return fewer than `MaxResults` file
  system descriptions while still including a `NextToken` value.

    * The order of tags returned in the response of one
  `ListTagsForResource` call and the order of tags returned across the responses
  of a multi-call iteration is unspecified.
  """
  def list_tags_for_resource(%Client{} = client, input, options \\ []) do
    Request.request_post(client, metadata(), "ListTagsForResource", input, options)
  end

  @doc """
  Releases the file system lock from an Amazon FSx for OpenZFS file system.
  """
  def release_file_system_nfs_v3_locks(%Client{} = client, input, options \\ []) do
    Request.request_post(client, metadata(), "ReleaseFileSystemNfsV3Locks", input, options)
  end

  @doc """
  Returns an Amazon FSx for OpenZFS volume to the state saved by the specified
  snapshot.
  """
  def restore_volume_from_snapshot(%Client{} = client, input, options \\ []) do
    Request.request_post(client, metadata(), "RestoreVolumeFromSnapshot", input, options)
  end

  @doc """
  Tags an Amazon FSx resource.
  """
  def tag_resource(%Client{} = client, input, options \\ []) do
    Request.request_post(client, metadata(), "TagResource", input, options)
  end

  @doc """
  This action removes a tag from an Amazon FSx resource.
  """
  def untag_resource(%Client{} = client, input, options \\ []) do
    Request.request_post(client, metadata(), "UntagResource", input, options)
  end

  @doc """
  Updates the configuration of an existing data repository association on an
  Amazon FSx for Lustre file system.

  Data repository associations are supported only for file systems with the
  `Persistent_2` deployment type.
  """
  def update_data_repository_association(%Client{} = client, input, options \\ []) do
    Request.request_post(client, metadata(), "UpdateDataRepositoryAssociation", input, options)
  end

  @doc """
  Use this operation to update the configuration of an existing Amazon FSx file
  system.

  You can update multiple properties in a single request.

  For Amazon FSx for Windows File Server file systems, you can update the
  following properties:

    * `AuditLogConfiguration`

    * `AutomaticBackupRetentionDays`

    * `DailyAutomaticBackupStartTime`

    * `SelfManagedActiveDirectoryConfiguration`

    * `StorageCapacity`

    * `ThroughputCapacity`

    * `WeeklyMaintenanceStartTime`

  For FSx for Lustre file systems, you can update the following properties:

    * `AutoImportPolicy`

    * `AutomaticBackupRetentionDays`

    * `DailyAutomaticBackupStartTime`

    * `DataCompressionType`

    * `StorageCapacity`

    * `WeeklyMaintenanceStartTime`

  For FSx for ONTAP file systems, you can update the following properties:

    * `AutomaticBackupRetentionDays`

    * `DailyAutomaticBackupStartTime`

    * `FsxAdminPassword`

    * `WeeklyMaintenanceStartTime`

  For the Amazon FSx for OpenZFS file systems, you can update the following
  properties:

    * `AutomaticBackupRetentionDays`

    * `CopyTagsToBackups`

    * `CopyTagsToVolumes`

    * `DailyAutomaticBackupStartTime`

    * `DiskIopsConfiguration`

    * `ThroughputCapacity`

    * `WeeklyMaintenanceStartTime`
  """
  def update_file_system(%Client{} = client, input, options \\ []) do
    Request.request_post(client, metadata(), "UpdateFileSystem", input, options)
  end

  @doc """
  Updates the name of a snapshot.
  """
  def update_snapshot(%Client{} = client, input, options \\ []) do
    Request.request_post(client, metadata(), "UpdateSnapshot", input, options)
  end

  @doc """
  Updates an Amazon FSx for ONTAP storage virtual machine (SVM).
  """
  def update_storage_virtual_machine(%Client{} = client, input, options \\ []) do
    Request.request_post(client, metadata(), "UpdateStorageVirtualMachine", input, options)
  end

  @doc """
  Updates the configuration of an Amazon FSx for NetApp ONTAP or Amazon FSx for
  OpenZFS volume.
  """
  def update_volume(%Client{} = client, input, options \\ []) do
    Request.request_post(client, metadata(), "UpdateVolume", input, options)
  end
end