Struct aws_sdk_quicksight::types::builders::RefreshScheduleBuilder

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

A builder for RefreshSchedule.

Implementations

impl RefreshScheduleBuilder

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

An identifier for the refresh schedule.

This field is required.

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

An identifier for the refresh schedule.

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

An identifier for the refresh schedule.

pub fn schedule_frequency(self, input: RefreshFrequency) -> Self

The frequency for the refresh schedule.

This field is required.

pub fn set_schedule_frequency(self, input: Option<RefreshFrequency>) -> Self

The frequency for the refresh schedule.

pub fn get_schedule_frequency(&self) -> &Option<RefreshFrequency>

The frequency for the refresh schedule.

pub fn start_after_date_time(self, input: DateTime) -> Self

Time after which the refresh schedule can be started, expressed in YYYY-MM-DDTHH:MM:SS format.

pub fn set_start_after_date_time(self, input: Option<DateTime>) -> Self

Time after which the refresh schedule can be started, expressed in YYYY-MM-DDTHH:MM:SS format.

pub fn get_start_after_date_time(&self) -> &Option<DateTime>

Time after which the refresh schedule can be started, expressed in YYYY-MM-DDTHH:MM:SS format.

pub fn refresh_type(self, input: IngestionType) -> Self

The type of refresh that a datset undergoes. Valid values are as follows:

• FULL_REFRESH: A complete refresh of a dataset.

• INCREMENTAL_REFRESH: A partial refresh of some rows of a dataset, based on the time window specified.

For more information on full and incremental refreshes, see Refreshing SPICE data in the Amazon QuickSight User Guide.

This field is required.

pub fn set_refresh_type(self, input: Option<IngestionType>) -> Self

The type of refresh that a datset undergoes. Valid values are as follows:

• FULL_REFRESH: A complete refresh of a dataset.

• INCREMENTAL_REFRESH: A partial refresh of some rows of a dataset, based on the time window specified.

For more information on full and incremental refreshes, see Refreshing SPICE data in the Amazon QuickSight User Guide.

pub fn get_refresh_type(&self) -> &Option<IngestionType>

The type of refresh that a datset undergoes. Valid values are as follows:

• FULL_REFRESH: A complete refresh of a dataset.

• INCREMENTAL_REFRESH: A partial refresh of some rows of a dataset, based on the time window specified.

For more information on full and incremental refreshes, see Refreshing SPICE data in the Amazon QuickSight User Guide.

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

The Amazon Resource Name (ARN) for the refresh schedule.

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

The Amazon Resource Name (ARN) for the refresh schedule.

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

The Amazon Resource Name (ARN) for the refresh schedule.

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

Consumes the builder and constructs a RefreshSchedule. This method will fail if any of the following fields are not set:

• schedule_id
• refresh_type

Trait Implementations

impl Clone for RefreshScheduleBuilder

fn clone(&self) -> RefreshScheduleBuilder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for RefreshScheduleBuilder

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

Formats the value using the given formatter.

impl Default for RefreshScheduleBuilder

fn default() -> RefreshScheduleBuilder

Returns the “default value” for a type.

impl PartialEq for RefreshScheduleBuilder

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

This method tests for self and other values to be equal, and is used by ==.

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

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

impl StructuralPartialEq for RefreshScheduleBuilder