Struct DatasetImportJob 

#[non_exhaustive]
pub struct DatasetImportJob {
    pub job_name: Option<String>,
    pub dataset_import_job_arn: Option<String>,
    pub dataset_arn: Option<String>,
    pub data_source: Option<DataSource>,
    pub role_arn: Option<String>,
    pub status: Option<String>,
    pub creation_date_time: Option<DateTime>,
    pub last_updated_date_time: Option<DateTime>,
    pub failure_reason: Option<String>,
    pub import_mode: Option<ImportMode>,
    pub publish_attribution_metrics_to_s3: Option<bool>,
}

Describes a job that imports training data from a data source (Amazon S3 bucket) to an Amazon Personalize dataset. For more information, see CreateDatasetImportJob.

A dataset import job can be in one of the following states:

• CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

job_name: Option<String>

The name of the import job.

dataset_import_job_arn: Option<String>

The ARN of the dataset import job.

dataset_arn: Option<String>

The Amazon Resource Name (ARN) of the dataset that receives the imported data.

data_source: Option<DataSource>

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

role_arn: Option<String>

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

status: Option<String>

The status of the dataset import job.

A dataset import job can be in one of the following states:

• CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

creation_date_time: Option<DateTime>

The creation date and time (in Unix time) of the dataset import job.

last_updated_date_time: Option<DateTime>

The date and time (in Unix time) the dataset was last updated.

failure_reason: Option<String>

If a dataset import job fails, provides the reason why.

import_mode: Option<ImportMode>

The import mode used by the dataset import job to import new records.

publish_attribution_metrics_to_s3: Option<bool>

Whether the job publishes metrics to Amazon S3 for a metric attribution.

Implementations

impl DatasetImportJob

pub fn job_name(&self) -> Option<&str>

The name of the import job.

pub fn dataset_import_job_arn(&self) -> Option<&str>

The ARN of the dataset import job.

pub fn dataset_arn(&self) -> Option<&str>

The Amazon Resource Name (ARN) of the dataset that receives the imported data.

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

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

pub fn role_arn(&self) -> Option<&str>

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

pub fn status(&self) -> Option<&str>

The status of the dataset import job.

A dataset import job can be in one of the following states:

• CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

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

The creation date and time (in Unix time) of the dataset import job.

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

The date and time (in Unix time) the dataset was last updated.

pub fn failure_reason(&self) -> Option<&str>

If a dataset import job fails, provides the reason why.

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

The import mode used by the dataset import job to import new records.

pub fn publish_attribution_metrics_to_s3(&self) -> Option<bool>

Whether the job publishes metrics to Amazon S3 for a metric attribution.

impl DatasetImportJob

pub fn builder() -> DatasetImportJobBuilder

Creates a new builder-style object to manufacture DatasetImportJob.

Trait Implementations

impl Clone for DatasetImportJob

fn clone(&self) -> DatasetImportJob

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for DatasetImportJob

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

Formats the value using the given formatter.

impl PartialEq for DatasetImportJob

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