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Creates a new job to analyze a dataset and create its data profile

Description

Creates a new job to analyze a dataset and create its data profile.

Usage

gluedatabrew_create_profile_job(DatasetName, EncryptionKeyArn,
  EncryptionMode, Name, LogSubscription, MaxCapacity, MaxRetries,
  OutputLocation, Configuration, ValidationConfigurations, RoleArn, Tags,
  Timeout, JobSample)

Arguments

  • DatasetName

    [required] The name of the dataset that this job is to act upon.

  • EncryptionKeyArn

    The Amazon Resource Name (ARN) of an encryption key that is used to protect the job.

  • EncryptionMode

    The encryption mode for the job, which can be one of the following:

    • SSE-KMS - SSE-KMS - Server-side encryption with KMS-managed keys.
    • SSE-S3 - Server-side encryption with keys managed by Amazon S3.
  • Name

    [required] The name of the job to be created. Valid characters are alphanumeric (A-Z, a-z, 0-9), hyphen (-), period (.), and space.

  • LogSubscription

    Enables or disables Amazon CloudWatch logging for the job. If logging is enabled, CloudWatch writes one log stream for each job run.

  • MaxCapacity

    The maximum number of nodes that DataBrew can use when the job processes data.

  • MaxRetries

    The maximum number of times to retry the job after a job run fails.

  • OutputLocation

    [required] Represents an Amazon S3 location (bucket name, bucket owner, and object key) where DataBrew can read input data, or write output from a job.

  • Configuration

    Configuration for profile jobs. Used to select columns, do evaluations, and override default parameters of evaluations. When configuration is null, the profile job will run with default settings.

  • ValidationConfigurations

    List of validation configurations that are applied to the profile job.

  • RoleArn

    [required] The Amazon Resource Name (ARN) of the Identity and Access Management (IAM) role to be assumed when DataBrew runs the job.

  • Tags

    Metadata tags to apply to this job.

  • Timeout

    The job's timeout in minutes. A job that attempts to run longer than this timeout period ends with a status of TIMEOUT.

  • JobSample

    Sample configuration for profile jobs only. Determines the number of rows on which the profile job will be executed. If a JobSample value is not provided, the default value will be used. The default value is CUSTOM_ROWS for the mode parameter and 20000 for the size parameter.

Value

A list with the following syntax:

list(
  Name = "string"
)

Request syntax

svc$create_profile_job(
  DatasetName = "string",
  EncryptionKeyArn = "string",
  EncryptionMode = "SSE-KMS"|"SSE-S3",
  Name = "string",
  LogSubscription = "ENABLE"|"DISABLE",
  MaxCapacity = 123,
  MaxRetries = 123,
  OutputLocation = list(
    Bucket = "string",
    Key = "string",
    BucketOwner = "string"
  ),
  Configuration = list(
    DatasetStatisticsConfiguration = list(
      IncludedStatistics = list(
        "string"
      ),
      Overrides = list(
        list(
          Statistic = "string",
          Parameters = list(
            "string"
          )
        )
      )
    ),
    ProfileColumns = list(
      list(
        Regex = "string",
        Name = "string"
      )
    ),
    ColumnStatisticsConfigurations = list(
      list(
        Selectors = list(
          list(
            Regex = "string",
            Name = "string"
          )
        ),
        Statistics = list(
          IncludedStatistics = list(
            "string"
          ),
          Overrides = list(
            list(
              Statistic = "string",
              Parameters = list(
                "string"
              )
            )
          )
        )
      )
    ),
    EntityDetectorConfiguration = list(
      EntityTypes = list(
        "string"
      ),
      AllowedStatistics = list(
        list(
          Statistics = list(
            "string"
          )
        )
      )
    )
  ),
  ValidationConfigurations = list(
    list(
      RulesetArn = "string",
      ValidationMode = "CHECK_ALL"
    )
  ),
  RoleArn = "string",
  Tags = list(
    "string"
  ),
  Timeout = 123,
  JobSample = list(
    Mode = "FULL_DATASET"|"CUSTOM_ROWS",
    Size = 123
  )
)