Struct aws_sdk_personalize::types::builders::DataSourceBuilder

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

A builder for DataSource.

Implementations

impl DataSourceBuilder

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

For dataset import jobs, the path to the Amazon S3 bucket where the data that you want to upload to your dataset is stored. For data deletion jobs, the path to the Amazon S3 bucket that stores the list of records to delete.

For example:

s3://bucket-name/folder-name/fileName.csv

If your CSV files are in a folder in your Amazon S3 bucket and you want your import job or data deletion job to consider multiple files, you can specify the path to the folder. With a data deletion job, Amazon Personalize uses all files in the folder and any sub folder. Use the following syntax with a / after the folder name:

s3://bucket-name/folder-name/

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

For dataset import jobs, the path to the Amazon S3 bucket where the data that you want to upload to your dataset is stored. For data deletion jobs, the path to the Amazon S3 bucket that stores the list of records to delete.

For example:

s3://bucket-name/folder-name/fileName.csv

If your CSV files are in a folder in your Amazon S3 bucket and you want your import job or data deletion job to consider multiple files, you can specify the path to the folder. With a data deletion job, Amazon Personalize uses all files in the folder and any sub folder. Use the following syntax with a / after the folder name:

s3://bucket-name/folder-name/

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

For dataset import jobs, the path to the Amazon S3 bucket where the data that you want to upload to your dataset is stored. For data deletion jobs, the path to the Amazon S3 bucket that stores the list of records to delete.

For example:

s3://bucket-name/folder-name/fileName.csv

If your CSV files are in a folder in your Amazon S3 bucket and you want your import job or data deletion job to consider multiple files, you can specify the path to the folder. With a data deletion job, Amazon Personalize uses all files in the folder and any sub folder. Use the following syntax with a / after the folder name:

s3://bucket-name/folder-name/

pub fn build(self) -> DataSource

Consumes the builder and constructs a DataSource.

Trait Implementations

impl Clone for DataSourceBuilder

fn clone(&self) -> DataSourceBuilder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for DataSourceBuilder

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

Formats the value using the given formatter.

impl Default for DataSourceBuilder

fn default() -> DataSourceBuilder

Returns the “default value” for a type.

impl PartialEq for DataSourceBuilder

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