#[non_exhaustive]
pub struct DescribeDatasetImportJobOutputBuilder { /* private fields */ }
Expand description

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impl DescribeDatasetImportJobOutputBuilder

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

The name of the dataset import job.

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

The name of the dataset import job.

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

The name of the dataset import job.

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

The ARN of the dataset import job.

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

The ARN of the dataset import job.

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

The ARN of the dataset import job.

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

The Amazon Resource Name (ARN) of the dataset that the training data was imported to.

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

The Amazon Resource Name (ARN) of the dataset that the training data was imported to.

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

The Amazon Resource Name (ARN) of the dataset that the training data was imported to.

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

The format of timestamps in the dataset. The format that you specify depends on the DataFrequency specified when the dataset was created. The following formats are supported

  • "yyyy-MM-dd"

    For the following data frequencies: Y, M, W, and D

  • "yyyy-MM-dd HH:mm:ss"

    For the following data frequencies: H, 30min, 15min, and 1min; and optionally, for: Y, M, W, and D

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

The format of timestamps in the dataset. The format that you specify depends on the DataFrequency specified when the dataset was created. The following formats are supported

  • "yyyy-MM-dd"

    For the following data frequencies: Y, M, W, and D

  • "yyyy-MM-dd HH:mm:ss"

    For the following data frequencies: H, 30min, 15min, and 1min; and optionally, for: Y, M, W, and D

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

The format of timestamps in the dataset. The format that you specify depends on the DataFrequency specified when the dataset was created. The following formats are supported

  • "yyyy-MM-dd"

    For the following data frequencies: Y, M, W, and D

  • "yyyy-MM-dd HH:mm:ss"

    For the following data frequencies: H, 30min, 15min, and 1min; and optionally, for: Y, M, W, and D

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

The single time zone applied to every item in the dataset

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

The single time zone applied to every item in the dataset

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

The single time zone applied to every item in the dataset

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

Whether TimeZone is automatically derived from the geolocation attribute.

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

Whether TimeZone is automatically derived from the geolocation attribute.

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

Whether TimeZone is automatically derived from the geolocation attribute.

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

The format of the geolocation attribute. Valid Values:"LAT_LONG" and "CC_POSTALCODE".

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

The format of the geolocation attribute. Valid Values:"LAT_LONG" and "CC_POSTALCODE".

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

The format of the geolocation attribute. Valid Values:"LAT_LONG" and "CC_POSTALCODE".

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

The location of the training data to import and an Identity and Access Management (IAM) role that Amazon Forecast can assume to access the data.

If encryption is used, DataSource includes an Key Management Service (KMS) key.

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

The location of the training data to import and an Identity and Access Management (IAM) role that Amazon Forecast can assume to access the data.

If encryption is used, DataSource includes an Key Management Service (KMS) key.

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

The location of the training data to import and an Identity and Access Management (IAM) role that Amazon Forecast can assume to access the data.

If encryption is used, DataSource includes an Key Management Service (KMS) key.

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pub fn estimated_time_remaining_in_minutes(self, input: i64) -> Self

The estimated time remaining in minutes for the dataset import job to complete.

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pub fn set_estimated_time_remaining_in_minutes(self, input: Option<i64>) -> Self

The estimated time remaining in minutes for the dataset import job to complete.

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pub fn get_estimated_time_remaining_in_minutes(&self) -> &Option<i64>

The estimated time remaining in minutes for the dataset import job to complete.

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

Adds a key-value pair to field_statistics.

To override the contents of this collection use set_field_statistics.

Statistical information about each field in the input data.

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

Statistical information about each field in the input data.

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

Statistical information about each field in the input data.

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pub fn data_size(self, input: f64) -> Self

The size of the dataset in gigabytes (GB) after the import job has finished.

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pub fn set_data_size(self, input: Option<f64>) -> Self

The size of the dataset in gigabytes (GB) after the import job has finished.

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pub fn get_data_size(&self) -> &Option<f64>

The size of the dataset in gigabytes (GB) after the import job has finished.

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

The status of the dataset import job. States include:

  • ACTIVE

  • CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED

  • DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED

  • CREATE_STOPPING, CREATE_STOPPED

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

The status of the dataset import job. States include:

  • ACTIVE

  • CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED

  • DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED

  • CREATE_STOPPING, CREATE_STOPPED

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

The status of the dataset import job. States include:

  • ACTIVE

  • CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED

  • DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED

  • CREATE_STOPPING, CREATE_STOPPED

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

If an error occurred, an informational message about the error.

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

If an error occurred, an informational message about the error.

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

If an error occurred, an informational message about the error.

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

When the dataset import job was created.

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

When the dataset import job was created.

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

When the dataset import job was created.

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

The last time the resource was modified. The timestamp depends on the status of the job:

  • CREATE_PENDING - The CreationTime.

  • CREATE_IN_PROGRESS - The current timestamp.

  • CREATE_STOPPING - The current timestamp.

  • CREATE_STOPPED - When the job stopped.

  • ACTIVE or CREATE_FAILED - When the job finished or failed.

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

The last time the resource was modified. The timestamp depends on the status of the job:

  • CREATE_PENDING - The CreationTime.

  • CREATE_IN_PROGRESS - The current timestamp.

  • CREATE_STOPPING - The current timestamp.

  • CREATE_STOPPED - When the job stopped.

  • ACTIVE or CREATE_FAILED - When the job finished or failed.

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

The last time the resource was modified. The timestamp depends on the status of the job:

  • CREATE_PENDING - The CreationTime.

  • CREATE_IN_PROGRESS - The current timestamp.

  • CREATE_STOPPING - The current timestamp.

  • CREATE_STOPPED - When the job stopped.

  • ACTIVE or CREATE_FAILED - When the job finished or failed.

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

The format of the imported data, CSV or PARQUET.

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

The format of the imported data, CSV or PARQUET.

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

The format of the imported data, CSV or PARQUET.

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

The import mode of the dataset import job, FULL or INCREMENTAL.

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

The import mode of the dataset import job, FULL or INCREMENTAL.

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

The import mode of the dataset import job, FULL or INCREMENTAL.

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pub fn build(self) -> DescribeDatasetImportJobOutput

Consumes the builder and constructs a DescribeDatasetImportJobOutput.

Trait Implementations§

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impl Clone for DescribeDatasetImportJobOutputBuilder

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fn clone(&self) -> DescribeDatasetImportJobOutputBuilder

Returns a copy of the value. Read more
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fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for DescribeDatasetImportJobOutputBuilder

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

Formats the value using the given formatter. Read more
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impl Default for DescribeDatasetImportJobOutputBuilder

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fn default() -> DescribeDatasetImportJobOutputBuilder

Returns the “default value” for a type. Read more
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impl PartialEq for DescribeDatasetImportJobOutputBuilder

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

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

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