Struct aws_sdk_personalize::operation::create_dataset_import_job::builders::CreateDatasetImportJobInputBuilder

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

A builder for CreateDatasetImportJobInput.

Implementations

impl CreateDatasetImportJobInputBuilder

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

The name for the dataset import job.

This field is required.

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

The name for the dataset import job.

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

The name for the dataset import job.

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

The ARN of the dataset that receives the imported data.

This field is required.

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

The ARN of the dataset that receives the imported data.

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

The ARN of the dataset that receives the imported data.

pub fn data_source(self, input: DataSource) -> Self

The Amazon S3 bucket that contains the training data to import.

This field is required.

pub fn set_data_source(self, input: Option<DataSource>) -> Self

The Amazon S3 bucket that contains the training data to import.

pub fn get_data_source(&self) -> &Option<DataSource>

The Amazon S3 bucket that contains the training data to import.

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

The ARN of the IAM role that has permissions to read from the Amazon S3 data source.

This field is required.

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

The ARN of the IAM role that has permissions to read from the Amazon S3 data source.

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

The ARN of the IAM role that has permissions to read from the Amazon S3 data source.

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

Appends an item to tags.

To override the contents of this collection use set_tags.

A list of tags to apply to the dataset import job.

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

A list of tags to apply to the dataset import job.

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

A list of tags to apply to the dataset import job.

pub fn import_mode(self, input: ImportMode) -> Self

Specify how to add the new records to an existing dataset. The default import mode is FULL. If you haven't imported bulk records into the dataset previously, you can only specify FULL.

• Specify FULL to overwrite all existing bulk data in your dataset. Data you imported individually is not replaced.

• Specify INCREMENTAL to append the new records to the existing data in your dataset. Amazon Personalize replaces any record with the same ID with the new one.

pub fn set_import_mode(self, input: Option<ImportMode>) -> Self

Specify how to add the new records to an existing dataset. The default import mode is FULL. If you haven't imported bulk records into the dataset previously, you can only specify FULL.

• Specify FULL to overwrite all existing bulk data in your dataset. Data you imported individually is not replaced.

• Specify INCREMENTAL to append the new records to the existing data in your dataset. Amazon Personalize replaces any record with the same ID with the new one.

pub fn get_import_mode(&self) -> &Option<ImportMode>

Specify how to add the new records to an existing dataset. The default import mode is FULL. If you haven't imported bulk records into the dataset previously, you can only specify FULL.

• Specify FULL to overwrite all existing bulk data in your dataset. Data you imported individually is not replaced.

• Specify INCREMENTAL to append the new records to the existing data in your dataset. Amazon Personalize replaces any record with the same ID with the new one.

pub fn publish_attribution_metrics_to_s3(self, input: bool) -> Self

If you created a metric attribution, specify whether to publish metrics for this import job to Amazon S3

pub fn set_publish_attribution_metrics_to_s3(self, input: Option<bool>) -> Self

If you created a metric attribution, specify whether to publish metrics for this import job to Amazon S3

pub fn get_publish_attribution_metrics_to_s3(&self) -> &Option<bool>

If you created a metric attribution, specify whether to publish metrics for this import job to Amazon S3

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

Consumes the builder and constructs a CreateDatasetImportJobInput.

impl CreateDatasetImportJobInputBuilder

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

Sends a request with this input using the given client.

Trait Implementations

impl Clone for CreateDatasetImportJobInputBuilder

fn clone(&self) -> CreateDatasetImportJobInputBuilder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for CreateDatasetImportJobInputBuilder

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

Formats the value using the given formatter.

impl Default for CreateDatasetImportJobInputBuilder

fn default() -> CreateDatasetImportJobInputBuilder

Returns the “default value” for a type.

impl PartialEq for CreateDatasetImportJobInputBuilder

fn eq(&self, other: &CreateDatasetImportJobInputBuilder) -> 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 CreateDatasetImportJobInputBuilder