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paws.storage (version 0.1.9)

fsx_create_data_repository_task: Creates an Amazon FSx for Lustre data repository task

Description

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 repository. 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 its 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 Using Data Repository Tasks. To learn more about linking a data repository to your file system, see Setting the Export Prefix.

Usage

fsx_create_data_repository_task(Type, Paths, FileSystemId, Report,
  ClientRequestToken, Tags)

Arguments

Type

[required] Specifies the type of data repository task to create.

Paths

(Optional) The path or paths on the Amazon FSx file system to use when the data repository task is processed. The default path is the file system root directory. The paths you provide need to be relative to the mount point of the file system. If the mount point is /mnt/fsx and /mnt/fsx/path1 is a directory or file on the file system you want to export, then the path to provide is path1. If a path that you provide isn\'t valid, the task fails.

FileSystemId

[required]

Report

[required] Defines whether or not Amazon FSx provides a CompletionReport once the task has completed. A CompletionReport provides a detailed report on the files that Amazon FSx processed that meet the criteria specified by the Scope parameter. For more information, see Working with Task Completion Reports.

ClientRequestToken
Tags

Request syntax

svc$create_data_repository_task(
  Type = "EXPORT_TO_REPOSITORY",
  Paths = list(
    "string"
  ),
  FileSystemId = "string",
  Report = list(
    Enabled = TRUE|FALSE,
    Path = "string",
    Format = "REPORT_CSV_20191124",
    Scope = "FAILED_FILES_ONLY"
  ),
  ClientRequestToken = "string",
  Tags = list(
    list(
      Key = "string",
      Value = "string"
    )
  )
)