Struct aws_sdk_databrew::operation::create_dataset::builders::CreateDatasetInputBuilder

#[non_exhaustive]
pub struct CreateDatasetInputBuilder { /* private fields */ }

A builder for CreateDatasetInput.

Implementations

impl CreateDatasetInputBuilder

pub fn name(self, input: impl Into<String>) -> Self

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

This field is required.

pub fn set_name(self, input: Option<String>) -> Self

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

pub fn get_name(&self) -> &Option<String>

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

pub fn format(self, input: InputFormat) -> Self

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

pub fn set_format(self, input: Option<InputFormat>) -> Self

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

pub fn get_format(&self) -> &Option<InputFormat>

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

pub fn format_options(self, input: FormatOptions) -> Self

Represents a set of options that define the structure of either comma-separated value (CSV), Excel, or JSON input.

pub fn set_format_options(self, input: Option<FormatOptions>) -> Self

Represents a set of options that define the structure of either comma-separated value (CSV), Excel, or JSON input.

pub fn get_format_options(&self) -> &Option<FormatOptions>

Represents a set of options that define the structure of either comma-separated value (CSV), Excel, or JSON input.

pub fn input(self, input: Input) -> Self

Represents information on how DataBrew can find data, in either the Glue Data Catalog or Amazon S3.

This field is required.

pub fn set_input(self, input: Option<Input>) -> Self

Represents information on how DataBrew can find data, in either the Glue Data Catalog or Amazon S3.

pub fn get_input(&self) -> &Option<Input>

Represents information on how DataBrew can find data, in either the Glue Data Catalog or Amazon S3.

pub fn path_options(self, input: PathOptions) -> Self

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

pub fn set_path_options(self, input: Option<PathOptions>) -> Self

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

pub fn get_path_options(&self) -> &Option<PathOptions>

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

pub fn tags(self, k: impl Into<String>, v: impl Into<String>) -> Self

Adds a key-value pair to tags.

To override the contents of this collection use set_tags.

Metadata tags to apply to this dataset.

pub fn set_tags(self, input: Option<HashMap<String, String>>) -> Self

Metadata tags to apply to this dataset.

pub fn get_tags(&self) -> &Option<HashMap<String, String>>

Metadata tags to apply to this dataset.

pub fn build(self) -> Result<CreateDatasetInput, BuildError>

Consumes the builder and constructs a CreateDatasetInput.

impl CreateDatasetInputBuilder

pub async fn send_with( self, client: &Client, ) -> Result<CreateDatasetOutput, SdkError<CreateDatasetError, HttpResponse>>

Sends a request with this input using the given client.

Trait Implementations

impl Clone for CreateDatasetInputBuilder

fn clone(&self) -> CreateDatasetInputBuilder

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for CreateDatasetInputBuilder

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for CreateDatasetInputBuilder

fn default() -> CreateDatasetInputBuilder

Returns the “default value” for a type.

impl PartialEq for CreateDatasetInputBuilder

fn eq(&self, other: &CreateDatasetInputBuilder) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for CreateDatasetInputBuilder