Create Dataset

gluedatabrew_create_dataset

R Documentation

Creates a new DataBrew dataset

Description

Creates a new DataBrew dataset.

Usage

gluedatabrew_create_dataset(Name, Format, FormatOptions, Input,
  PathOptions, Tags)

Arguments

Name

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

Format

The file format of a dataset that is created from an Amazon S3 file or folder.

FormatOptions

Input

[required]

PathOptions

A set of options that defines how DataBrew interprets an Amazon S3 path of the dataset.

Tags

Metadata tags to apply to this dataset.

Value

A list with the following syntax:

list(
  Name = "string"
)

Request syntax

svc$create_dataset(
  Name = "string",
  Format = "CSV"|"JSON"|"PARQUET"|"EXCEL"|"ORC",
  FormatOptions = list(
    Json = list(
      MultiLine = TRUE|FALSE
    ),
    Excel = list(
      SheetNames = list(
        "string"
      ),
      SheetIndexes = list(
        123
      ),
      HeaderRow = TRUE|FALSE
    ),
    Csv = list(
      Delimiter = "string",
      HeaderRow = TRUE|FALSE
    )
  ),
  Input = list(
    S3InputDefinition = list(
      Bucket = "string",
      Key = "string",
      BucketOwner = "string"
    ),
    DataCatalogInputDefinition = list(
      CatalogId = "string",
      DatabaseName = "string",
      TableName = "string",
      TempDirectory = list(
        Bucket = "string",
        Key = "string",
        BucketOwner = "string"
      )
    ),
    DatabaseInputDefinition = list(
      GlueConnectionName = "string",
      DatabaseTableName = "string",
      TempDirectory = list(
        Bucket = "string",
        Key = "string",
        BucketOwner = "string"
      ),
      QueryString = "string"
    ),
    Metadata = list(
      SourceArn = "string"
    )
  ),
  PathOptions = list(
    LastModifiedDateCondition = list(
      Expression = "string",
      ValuesMap = list(
        "string"
      )
    ),
    FilesLimit = list(
      MaxFiles = 123,
      OrderedBy = "LAST_MODIFIED_DATE",
      Order = "DESCENDING"|"ASCENDING"
    ),
    Parameters = list(
      list(
        Name = "string",
        Type = "Datetime"|"Number"|"String",
        DatetimeOptions = list(
          Format = "string",
          TimezoneOffset = "string",
          LocaleCode = "string"
        ),
        CreateColumn = TRUE|FALSE,
        Filter = list(
          Expression = "string",
          ValuesMap = list(
            "string"
          )
        )
      )
    )
  ),
  Tags = list(
    "string"
  )
)