interface DataSourceProperty
| Language | Type name |
|---|---|
 .NET | Amazon.CDK.AWS.Personalize.CfnDataset.DataSourceProperty |
 Go | github.com/aws/aws-cdk-go/awscdk/v2/awspersonalize#CfnDataset_DataSourceProperty |
 Java | software.amazon.awscdk.services.personalize.CfnDataset.DataSourceProperty |
 Python | aws_cdk.aws_personalize.CfnDataset.DataSourceProperty |
 TypeScript | aws-cdk-lib » aws_personalize » CfnDataset » DataSourceProperty |
Describes the data source that contains the data to upload to a dataset, or the list of records to delete from Amazon Personalize.
Example
// The code below shows an example of how to instantiate this type.
// The values are placeholders you should change.
import { aws_personalize as personalize } from 'aws-cdk-lib';
const dataSourceProperty: personalize.CfnDataset.DataSourceProperty = {
dataLocation: 'dataLocation',
};
Properties
| Name | Type | Description |
|---|---|---|
| data | 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. |
dataLocation?
Type:
string
(optional)
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/