Struct rusoto_sagemaker::ProcessingS3Input

pub struct ProcessingS3Input {
    pub local_path: Option<String>,
    pub s3_compression_type: Option<String>,
    pub s3_data_distribution_type: Option<String>,
    pub s3_data_type: String,
    pub s3_input_mode: Option<String>,
    pub s3_uri: String,
}

Configuration for downloading input data from Amazon S3 into the processing container.

Fields

local_path: 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).

s3_compression_type: Option<String>

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.

s3_data_distribution_type: Option<String>

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.

s3_data_type: String

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.

s3_input_mode: Option<String>

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.

s3_uri: String

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

Trait Implementations

impl Clone for ProcessingS3Input

fn clone(&self) -> ProcessingS3Input

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for ProcessingS3Input

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

Formats the value using the given formatter.

impl Default for ProcessingS3Input

fn default() -> ProcessingS3Input

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for ProcessingS3Input

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where
    __D: Deserializer<'de>, 

Deserialize this value from the given Serde deserializer.

impl PartialEq<ProcessingS3Input> for ProcessingS3Input

fn eq(&self, other: &ProcessingS3Input) -> bool

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

fn ne(&self, other: &ProcessingS3Input) -> bool

This method tests for !=.

impl Serialize for ProcessingS3Input

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error> where
    __S: Serializer, 

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for ProcessingS3Input