Struct aws_sdk_sagemaker::types::builders::ProcessingS3InputBuilder

#[non_exhaustive]
pub struct ProcessingS3InputBuilder { /* private fields */ }

A builder for ProcessingS3Input.

Implementations

impl ProcessingS3InputBuilder

pub fn s3_uri(self, input: impl Into<String>) -> Self

The URI of the Amazon S3 prefix Amazon SageMaker downloads data required to run a processing job.

This field is required.

pub fn set_s3_uri(self, input: Option<String>) -> Self

The URI of the Amazon S3 prefix Amazon SageMaker downloads data required to run a processing job.

pub fn get_s3_uri(&self) -> &Option<String>

The URI of the Amazon S3 prefix Amazon SageMaker downloads data required to run a processing job.

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

The local path in your container where you want Amazon SageMaker to write input data to. LocalPath is an absolute path to the input data and must begin with /opt/ml/processing/. LocalPath is a required parameter when AppManaged is False (default).

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

The local path in your container where you want Amazon SageMaker to write input data to. LocalPath is an absolute path to the input data and must begin with /opt/ml/processing/. LocalPath is a required parameter when AppManaged is False (default).

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

The local path in your container where you want Amazon SageMaker to write input data to. LocalPath is an absolute path to the input data and must begin with /opt/ml/processing/. LocalPath is a required parameter when AppManaged is False (default).

pub fn s3_data_type(self, input: ProcessingS3DataType) -> Self

Whether you use an S3Prefix or a ManifestFile for the data type. If you choose S3Prefix, S3Uri identifies a key name prefix. Amazon SageMaker uses all objects with the specified key name prefix for the processing job. If you choose ManifestFile, S3Uri identifies an object that is a manifest file containing a list of object keys that you want Amazon SageMaker to use for the processing job.

This field is required.

pub fn set_s3_data_type(self, input: Option<ProcessingS3DataType>) -> Self

Whether you use an S3Prefix or a ManifestFile for the data type. If you choose S3Prefix, S3Uri identifies a key name prefix. Amazon SageMaker uses all objects with the specified key name prefix for the processing job. If you choose ManifestFile, S3Uri identifies an object that is a manifest file containing a list of object keys that you want Amazon SageMaker to use for the processing job.

pub fn get_s3_data_type(&self) -> &Option<ProcessingS3DataType>

Whether you use an S3Prefix or a ManifestFile for the data type. If you choose S3Prefix, S3Uri identifies a key name prefix. Amazon SageMaker uses all objects with the specified key name prefix for the processing job. If you choose ManifestFile, S3Uri identifies an object that is a manifest file containing a list of object keys that you want Amazon SageMaker to use for the processing job.

pub fn s3_input_mode(self, input: ProcessingS3InputMode) -> Self

Whether to use File or Pipe input mode. In File mode, Amazon SageMaker copies the data from the input source onto the local ML storage volume before starting your processing container. This is the most commonly used input mode. In Pipe mode, Amazon SageMaker streams input data from the source directly to your processing container into named pipes without using the ML storage volume.

pub fn set_s3_input_mode(self, input: Option<ProcessingS3InputMode>) -> Self

Whether to use File or Pipe input mode. In File mode, Amazon SageMaker copies the data from the input source onto the local ML storage volume before starting your processing container. This is the most commonly used input mode. In Pipe mode, Amazon SageMaker streams input data from the source directly to your processing container into named pipes without using the ML storage volume.

pub fn get_s3_input_mode(&self) -> &Option<ProcessingS3InputMode>

Whether to use File or Pipe input mode. In File mode, Amazon SageMaker copies the data from the input source onto the local ML storage volume before starting your processing container. This is the most commonly used input mode. In Pipe mode, Amazon SageMaker streams input data from the source directly to your processing container into named pipes without using the ML storage volume.

pub fn s3_data_distribution_type( self, input: ProcessingS3DataDistributionType ) -> Self

Whether to distribute the data from Amazon S3 to all processing instances with FullyReplicated, or whether the data from Amazon S3 is shared by Amazon S3 key, downloading one shard of data to each processing instance.

pub fn set_s3_data_distribution_type( self, input: Option<ProcessingS3DataDistributionType> ) -> Self

Whether to distribute the data from Amazon S3 to all processing instances with FullyReplicated, or whether the data from Amazon S3 is shared by Amazon S3 key, downloading one shard of data to each processing instance.

pub fn get_s3_data_distribution_type( &self ) -> &Option<ProcessingS3DataDistributionType>

Whether to distribute the data from Amazon S3 to all processing instances with FullyReplicated, or whether the data from Amazon S3 is shared by Amazon S3 key, downloading one shard of data to each processing instance.

pub fn s3_compression_type(self, input: ProcessingS3CompressionType) -> Self

Whether to GZIP-decompress the data in Amazon S3 as it is streamed into the processing container. Gzip can only be used when Pipe mode is specified as the S3InputMode. In Pipe mode, Amazon SageMaker streams input data from the source directly to your container without using the EBS volume.

pub fn set_s3_compression_type( self, input: Option<ProcessingS3CompressionType> ) -> Self

Whether to GZIP-decompress the data in Amazon S3 as it is streamed into the processing container. Gzip can only be used when Pipe mode is specified as the S3InputMode. In Pipe mode, Amazon SageMaker streams input data from the source directly to your container without using the EBS volume.

pub fn get_s3_compression_type(&self) -> &Option<ProcessingS3CompressionType>

Whether to GZIP-decompress the data in Amazon S3 as it is streamed into the processing container. Gzip can only be used when Pipe mode is specified as the S3InputMode. In Pipe mode, Amazon SageMaker streams input data from the source directly to your container without using the EBS volume.

pub fn build(self) -> ProcessingS3Input

Consumes the builder and constructs a ProcessingS3Input.

Trait Implementations

impl Clone for ProcessingS3InputBuilder

fn clone(&self) -> ProcessingS3InputBuilder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for ProcessingS3InputBuilder

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

Formats the value using the given formatter.

impl Default for ProcessingS3InputBuilder

fn default() -> ProcessingS3InputBuilder

Returns the “default value” for a type.

impl PartialEq for ProcessingS3InputBuilder

fn eq(&self, other: &ProcessingS3InputBuilder) -> 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 ProcessingS3InputBuilder