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

Class DataSource

java.lang.Object

software.amazon.awssdk.services.personalize.model.DataSource

All Implemented Interfaces:

Serializable, SdkPojo, ToCopyableBuilder<DataSource.Builder,DataSource>

@Generated("software.amazon.awssdk:codegen")
public final class DataSource
extends Object
implements SdkPojo, Serializable, ToCopyableBuilder<DataSource.Builder,DataSource>

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:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static interface	DataSource.Builder

Method Summary

Modifier and Type	Method	Description
static DataSource.Builder	builder()
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.
boolean	equals(Object obj)
boolean	equalsBySdkFields(Object obj)
<T> Optional<T>	getValueForField(String fieldName, Class<T> clazz)
int	hashCode()
List<SdkField<?>>	sdkFields()
static Class<? extends DataSource.Builder>	serializableBuilderClass()
DataSource.Builder	toBuilder()
String	toString()	Returns a string representation of this object.

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

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

copy

Method Detail

dataLocation

public final 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/

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/

toBuilder

public DataSource.Builder toBuilder()

Specified by:

toBuilder in interface ToCopyableBuilder<DataSource.Builder,DataSource>

builder

public static DataSource.Builder builder()

serializableBuilderClass

public static Class<? extends DataSource.Builder> serializableBuilderClass()

hashCode

public final int hashCode()

Overrides:

hashCode in class Object

equals

public final boolean equals(Object obj)

Overrides:

equals in class Object

equalsBySdkFields

public final boolean equalsBySdkFields(Object obj)

Specified by:

equalsBySdkFields in interface SdkPojo

toString

public final 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

getValueForField

public final <T> Optional<T> getValueForField(String fieldName,
                                              Class<T> clazz)

sdkFields

public final List<SdkField<?>> sdkFields()

Specified by:

sdkFields in interface SdkPojo