Package software.amazon.awssdk.services.personalize.model

Interface DataSource.Builder

All Superinterfaces:

Buildable, CopyableBuilder<DataSource.Builder,DataSource>, SdkBuilder<DataSource.Builder,DataSource>, SdkPojo

Enclosing class:

DataSource

public static interface DataSource.Builder
extends SdkPojo, CopyableBuilder<DataSource.Builder,DataSource>

Method Summary

Modifier and Type	Method	Description
DataSource.Builder	dataLocation(String dataLocation)	For dataset import jobs, the path to the Amazon S3 bucket where the data that you want to upload to your dataset is stored.

Methods inherited from interface software.amazon.awssdk.utils.builder.CopyableBuilder

copy

Methods inherited from interface software.amazon.awssdk.utils.builder.SdkBuilder

applyMutation, build

Methods inherited from interface software.amazon.awssdk.core.SdkPojo

equalsBySdkFields, sdkFieldNameToField, sdkFields

Method Detail

dataLocation

DataSource.Builder dataLocation(String dataLocation)

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/

Parameters:

dataLocation - 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/

Returns:

Returns a reference to this object so that method calls can be chained together.