Struct aws_sdk_iotanalytics::operation::create_dataset::builders::CreateDatasetFluentBuilder

pub struct CreateDatasetFluentBuilder { /* private fields */ }

Fluent builder constructing a request to CreateDataset.

Used to create a dataset. A dataset stores data retrieved from a data store by applying a queryAction (a SQL query) or a containerAction (executing a containerized application). This operation creates the skeleton of a dataset. The dataset can be populated manually by calling CreateDatasetContent or automatically according to a trigger you specify.

Implementations

impl CreateDatasetFluentBuilder

pub fn as_input(&self) -> &CreateDatasetInputBuilder

Access the CreateDataset as a reference.

pub async fn send( self ) -> Result<CreateDatasetOutput, SdkError<CreateDatasetError, HttpResponse>>

Sends the request and returns the response.

If an error occurs, an SdkError will be returned with additional details that can be matched against.

By default, any retryable failures will be retried twice. Retry behavior is configurable with the RetryConfig, which can be set when configuring the client.

pub fn customize( self ) -> CustomizableOperation<CreateDatasetOutput, CreateDatasetError, Self>

Consumes this builder, creating a customizable operation that can be modified before being sent.

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

The name of the dataset.

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

The name of the dataset.

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

The name of the dataset.

pub fn actions(self, input: DatasetAction) -> Self

Appends an item to actions.

To override the contents of this collection use set_actions.

A list of actions that create the dataset contents.

pub fn set_actions(self, input: Option<Vec<DatasetAction>>) -> Self

A list of actions that create the dataset contents.

pub fn get_actions(&self) -> &Option<Vec<DatasetAction>>

A list of actions that create the dataset contents.

pub fn triggers(self, input: DatasetTrigger) -> Self

Appends an item to triggers.

To override the contents of this collection use set_triggers.

A list of triggers. A trigger causes dataset contents to be populated at a specified time interval or when another dataset's contents are created. The list of triggers can be empty or contain up to five DataSetTrigger objects.

pub fn set_triggers(self, input: Option<Vec<DatasetTrigger>>) -> Self

A list of triggers. A trigger causes dataset contents to be populated at a specified time interval or when another dataset's contents are created. The list of triggers can be empty or contain up to five DataSetTrigger objects.

pub fn get_triggers(&self) -> &Option<Vec<DatasetTrigger>>

A list of triggers. A trigger causes dataset contents to be populated at a specified time interval or when another dataset's contents are created. The list of triggers can be empty or contain up to five DataSetTrigger objects.

pub fn content_delivery_rules(self, input: DatasetContentDeliveryRule) -> Self

Appends an item to contentDeliveryRules.

To override the contents of this collection use set_content_delivery_rules.

When dataset contents are created, they are delivered to destinations specified here.

pub fn set_content_delivery_rules( self, input: Option<Vec<DatasetContentDeliveryRule>> ) -> Self

When dataset contents are created, they are delivered to destinations specified here.

pub fn get_content_delivery_rules( &self ) -> &Option<Vec<DatasetContentDeliveryRule>>

When dataset contents are created, they are delivered to destinations specified here.

pub fn retention_period(self, input: RetentionPeriod) -> Self

Optional. How long, in days, versions of dataset contents are kept for the dataset. If not specified or set to null, versions of dataset contents are retained for at most 90 days. The number of versions of dataset contents retained is determined by the versioningConfiguration parameter. For more information, see Keeping Multiple Versions of IoT Analytics datasets in the IoT Analytics User Guide.

pub fn set_retention_period(self, input: Option<RetentionPeriod>) -> Self

Optional. How long, in days, versions of dataset contents are kept for the dataset. If not specified or set to null, versions of dataset contents are retained for at most 90 days. The number of versions of dataset contents retained is determined by the versioningConfiguration parameter. For more information, see Keeping Multiple Versions of IoT Analytics datasets in the IoT Analytics User Guide.

pub fn get_retention_period(&self) -> &Option<RetentionPeriod>

Optional. How long, in days, versions of dataset contents are kept for the dataset. If not specified or set to null, versions of dataset contents are retained for at most 90 days. The number of versions of dataset contents retained is determined by the versioningConfiguration parameter. For more information, see Keeping Multiple Versions of IoT Analytics datasets in the IoT Analytics User Guide.

pub fn versioning_configuration(self, input: VersioningConfiguration) -> Self

Optional. How many versions of dataset contents are kept. If not specified or set to null, only the latest version plus the latest succeeded version (if they are different) are kept for the time period specified by the retentionPeriod parameter. For more information, see Keeping Multiple Versions of IoT Analytics datasets in the IoT Analytics User Guide.

pub fn set_versioning_configuration( self, input: Option<VersioningConfiguration> ) -> Self

Optional. How many versions of dataset contents are kept. If not specified or set to null, only the latest version plus the latest succeeded version (if they are different) are kept for the time period specified by the retentionPeriod parameter. For more information, see Keeping Multiple Versions of IoT Analytics datasets in the IoT Analytics User Guide.

pub fn get_versioning_configuration(&self) -> &Option<VersioningConfiguration>

Optional. How many versions of dataset contents are kept. If not specified or set to null, only the latest version plus the latest succeeded version (if they are different) are kept for the time period specified by the retentionPeriod parameter. For more information, see Keeping Multiple Versions of IoT Analytics datasets in the IoT Analytics User Guide.

pub fn tags(self, input: Tag) -> Self

Appends an item to tags.

To override the contents of this collection use set_tags.

Metadata which can be used to manage the dataset.

pub fn set_tags(self, input: Option<Vec<Tag>>) -> Self

Metadata which can be used to manage the dataset.

pub fn get_tags(&self) -> &Option<Vec<Tag>>

Metadata which can be used to manage the dataset.

pub fn late_data_rules(self, input: LateDataRule) -> Self

Appends an item to lateDataRules.

To override the contents of this collection use set_late_data_rules.

A list of data rules that send notifications to CloudWatch, when data arrives late. To specify lateDataRules, the dataset must use a DeltaTimer filter.

pub fn set_late_data_rules(self, input: Option<Vec<LateDataRule>>) -> Self

A list of data rules that send notifications to CloudWatch, when data arrives late. To specify lateDataRules, the dataset must use a DeltaTimer filter.

pub fn get_late_data_rules(&self) -> &Option<Vec<LateDataRule>>

A list of data rules that send notifications to CloudWatch, when data arrives late. To specify lateDataRules, the dataset must use a DeltaTimer filter.

Trait Implementations

impl Clone for CreateDatasetFluentBuilder

fn clone(&self) -> CreateDatasetFluentBuilder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for CreateDatasetFluentBuilder

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

Formats the value using the given formatter.