com.amazonaws.services.personalize.model

Class DataSource

java.lang.Object

com.amazonaws.services.personalize.model.DataSource

All Implemented Interfaces:

StructuredPojo, Serializable, Cloneable

@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class DataSource
extends Object
implements Serializable, Cloneable, StructuredPojo

Describes the data source that contains the data to upload to a dataset, or the list of records to delete from Amazon Personalize.

See Also:

AWS API Documentation, Serialized Form

Constructor Summary

Constructors

Constructor and Description
DataSource()

Method Summary

Modifier and Type	Method and Description
DataSource	clone()
boolean	equals(Object obj)
String	getDataLocation() For dataset import jobs, the path to the Amazon S3 bucket where the data that you want to upload to your dataset is stored.
int	hashCode()
void	marshall(ProtocolMarshaller protocolMarshaller) Marshalls this structured data using the given ProtocolMarshaller.
void	setDataLocation(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.
String	toString() Returns a string representation of this object.
DataSource	withDataLocation(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 class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

DataSource

public DataSource()

Method Detail

setDataLocation

public void setDataLocation(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/

getDataLocation

public String getDataLocation()

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:

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/

withDataLocation

public DataSource withDataLocation(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.

toString

public String toString()

Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value.

Overrides:

toString in class Object

Returns:

A string representation of this object.

See Also:

Object.toString()

equals

public boolean equals(Object obj)

Overrides:

equals in class Object

hashCode

public int hashCode()

Overrides:

hashCode in class Object

clone

public DataSource clone()

Overrides:

clone in class Object

marshall

public void marshall(ProtocolMarshaller protocolMarshaller)

Description copied from interface: StructuredPojo

Marshalls this structured data using the given ProtocolMarshaller.

Specified by:

marshall in interface StructuredPojo

Parameters:

protocolMarshaller - Implementation of ProtocolMarshaller used to marshall this object's data.