com.amazonaws.services.forecast.model

Class CreateDatasetImportJobRequest

java.lang.Object

com.amazonaws.AmazonWebServiceRequest

com.amazonaws.services.forecast.model.CreateDatasetImportJobRequest

All Implemented Interfaces:

HandlerContextAware, ReadLimitInfo, Serializable, Cloneable

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

See Also:

AWS API Documentation, Serialized Form

Field Summary

Fields inherited from class com.amazonaws.AmazonWebServiceRequest

NOOP

Constructor Summary

Constructors

Constructor and Description
CreateDatasetImportJobRequest()

Method Summary

Modifier and Type	Method and Description
CreateDatasetImportJobRequest	clone() Creates a shallow clone of this object for all fields except the handler context.
boolean	equals(Object obj)
String	getDatasetArn() The Amazon Resource Name (ARN) of the Amazon Forecast dataset that you want to import data to.
String	getDatasetImportJobName() The name for the dataset import job.
DataSource	getDataSource() The location of the training data to import and an AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the data.
String	getTimestampFormat() The format of timestamps in the dataset.
int	hashCode()
void	setDatasetArn(String datasetArn) The Amazon Resource Name (ARN) of the Amazon Forecast dataset that you want to import data to.
void	setDatasetImportJobName(String datasetImportJobName) The name for the dataset import job.
void	setDataSource(DataSource dataSource) The location of the training data to import and an AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the data.
void	setTimestampFormat(String timestampFormat) The format of timestamps in the dataset.
String	toString() Returns a string representation of this object.
CreateDatasetImportJobRequest	withDatasetArn(String datasetArn) The Amazon Resource Name (ARN) of the Amazon Forecast dataset that you want to import data to.
CreateDatasetImportJobRequest	withDatasetImportJobName(String datasetImportJobName) The name for the dataset import job.
CreateDatasetImportJobRequest	withDataSource(DataSource dataSource) The location of the training data to import and an AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the data.
CreateDatasetImportJobRequest	withTimestampFormat(String timestampFormat) The format of timestamps in the dataset.

Methods inherited from class com.amazonaws.AmazonWebServiceRequest

addHandlerContext, getCloneRoot, getCloneSource, getCustomQueryParameters, getCustomRequestHeaders, getGeneralProgressListener, getHandlerContext, getReadLimit, getRequestClientOptions, getRequestCredentials, getRequestCredentialsProvider, getRequestMetricCollector, getSdkClientExecutionTimeout, getSdkRequestTimeout, putCustomQueryParameter, putCustomRequestHeader, setGeneralProgressListener, setRequestCredentials, setRequestCredentialsProvider, setRequestMetricCollector, setSdkClientExecutionTimeout, setSdkRequestTimeout, withGeneralProgressListener, withRequestCredentialsProvider, withRequestMetricCollector, withSdkClientExecutionTimeout, withSdkRequestTimeout

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

CreateDatasetImportJobRequest

public CreateDatasetImportJobRequest()

Method Detail

setDatasetImportJobName

public void setDatasetImportJobName(String datasetImportJobName)

The name for the dataset import job. We recommend including the current timestamp in the name, for example, 20190721DatasetImport. This can help you avoid getting a ResourceAlreadyExistsException exception.

Parameters:

datasetImportJobName - The name for the dataset import job. We recommend including the current timestamp in the name, for example, 20190721DatasetImport. This can help you avoid getting a ResourceAlreadyExistsException exception.

getDatasetImportJobName

public String getDatasetImportJobName()

The name for the dataset import job. We recommend including the current timestamp in the name, for example, 20190721DatasetImport. This can help you avoid getting a ResourceAlreadyExistsException exception.

Returns:

The name for the dataset import job. We recommend including the current timestamp in the name, for example, 20190721DatasetImport. This can help you avoid getting a ResourceAlreadyExistsException exception.

withDatasetImportJobName

public CreateDatasetImportJobRequest withDatasetImportJobName(String datasetImportJobName)

The name for the dataset import job. We recommend including the current timestamp in the name, for example, 20190721DatasetImport. This can help you avoid getting a ResourceAlreadyExistsException exception.

Parameters:

datasetImportJobName - The name for the dataset import job. We recommend including the current timestamp in the name, for example, 20190721DatasetImport. This can help you avoid getting a ResourceAlreadyExistsException exception.

Returns:

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

setDatasetArn

public void setDatasetArn(String datasetArn)

The Amazon Resource Name (ARN) of the Amazon Forecast dataset that you want to import data to.

Parameters:

datasetArn - The Amazon Resource Name (ARN) of the Amazon Forecast dataset that you want to import data to.

getDatasetArn

public String getDatasetArn()

The Amazon Resource Name (ARN) of the Amazon Forecast dataset that you want to import data to.

Returns:

The Amazon Resource Name (ARN) of the Amazon Forecast dataset that you want to import data to.

withDatasetArn

public CreateDatasetImportJobRequest withDatasetArn(String datasetArn)

The Amazon Resource Name (ARN) of the Amazon Forecast dataset that you want to import data to.

Parameters:

datasetArn - The Amazon Resource Name (ARN) of the Amazon Forecast dataset that you want to import data to.

Returns:

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

setDataSource

public void setDataSource(DataSource dataSource)

The location of the training data to import and an AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the data. The training data must be stored in an Amazon S3 bucket.

If encryption is used, DataSource must include an AWS Key Management Service (KMS) key and the IAM role must allow Amazon Forecast permission to access the key. The KMS key and IAM role must match those specified in the EncryptionConfig parameter of the CreateDataset operation.

Parameters:

dataSource - The location of the training data to import and an AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the data. The training data must be stored in an Amazon S3 bucket.

If encryption is used, DataSource must include an AWS Key Management Service (KMS) key and the IAM role must allow Amazon Forecast permission to access the key. The KMS key and IAM role must match those specified in the EncryptionConfig parameter of the CreateDataset operation.

getDataSource

public DataSource getDataSource()

The location of the training data to import and an AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the data. The training data must be stored in an Amazon S3 bucket.

If encryption is used, DataSource must include an AWS Key Management Service (KMS) key and the IAM role must allow Amazon Forecast permission to access the key. The KMS key and IAM role must match those specified in the EncryptionConfig parameter of the CreateDataset operation.

Returns:

The location of the training data to import and an AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the data. The training data must be stored in an Amazon S3 bucket.

If encryption is used, DataSource must include an AWS Key Management Service (KMS) key and the IAM role must allow Amazon Forecast permission to access the key. The KMS key and IAM role must match those specified in the EncryptionConfig parameter of the CreateDataset operation.

withDataSource

public CreateDatasetImportJobRequest withDataSource(DataSource dataSource)

The location of the training data to import and an AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the data. The training data must be stored in an Amazon S3 bucket.

If encryption is used, DataSource must include an AWS Key Management Service (KMS) key and the IAM role must allow Amazon Forecast permission to access the key. The KMS key and IAM role must match those specified in the EncryptionConfig parameter of the CreateDataset operation.

Parameters:

dataSource - The location of the training data to import and an AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the data. The training data must be stored in an Amazon S3 bucket.

If encryption is used, DataSource must include an AWS Key Management Service (KMS) key and the IAM role must allow Amazon Forecast permission to access the key. The KMS key and IAM role must match those specified in the EncryptionConfig parameter of the CreateDataset operation.

Returns:

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

setTimestampFormat

public void setTimestampFormat(String timestampFormat)

The format of timestamps in the dataset. The format that you specify depends on the DataFrequency specified when the dataset was created. The following formats are supported

• "yyyy-MM-dd"

  For the following data frequencies: Y, M, W, and D

• "yyyy-MM-dd HH:mm:ss"

  For the following data frequencies: H, 30min, 15min, and 1min; and optionally, for: Y, M, W, and D

If the format isn't specified, Amazon Forecast expects the format to be "yyyy-MM-dd HH:mm:ss".

Parameters:

timestampFormat - The format of timestamps in the dataset. The format that you specify depends on the DataFrequency specified when the dataset was created. The following formats are supported

• "yyyy-MM-dd"

  For the following data frequencies: Y, M, W, and D

• "yyyy-MM-dd HH:mm:ss"

  For the following data frequencies: H, 30min, 15min, and 1min; and optionally, for: Y, M, W, and D

If the format isn't specified, Amazon Forecast expects the format to be "yyyy-MM-dd HH:mm:ss".

getTimestampFormat

public String getTimestampFormat()

The format of timestamps in the dataset. The format that you specify depends on the DataFrequency specified when the dataset was created. The following formats are supported

• "yyyy-MM-dd"

  For the following data frequencies: Y, M, W, and D

• "yyyy-MM-dd HH:mm:ss"

  For the following data frequencies: H, 30min, 15min, and 1min; and optionally, for: Y, M, W, and D

If the format isn't specified, Amazon Forecast expects the format to be "yyyy-MM-dd HH:mm:ss".

Returns:

The format of timestamps in the dataset. The format that you specify depends on the DataFrequency specified when the dataset was created. The following formats are supported

• "yyyy-MM-dd"

  For the following data frequencies: Y, M, W, and D

• "yyyy-MM-dd HH:mm:ss"

  For the following data frequencies: H, 30min, 15min, and 1min; and optionally, for: Y, M, W, and D

If the format isn't specified, Amazon Forecast expects the format to be "yyyy-MM-dd HH:mm:ss".

withTimestampFormat

public CreateDatasetImportJobRequest withTimestampFormat(String timestampFormat)

The format of timestamps in the dataset. The format that you specify depends on the DataFrequency specified when the dataset was created. The following formats are supported

• "yyyy-MM-dd"

  For the following data frequencies: Y, M, W, and D

• "yyyy-MM-dd HH:mm:ss"

  For the following data frequencies: H, 30min, 15min, and 1min; and optionally, for: Y, M, W, and D

If the format isn't specified, Amazon Forecast expects the format to be "yyyy-MM-dd HH:mm:ss".

Parameters:

timestampFormat - The format of timestamps in the dataset. The format that you specify depends on the DataFrequency specified when the dataset was created. The following formats are supported

• "yyyy-MM-dd"

  For the following data frequencies: Y, M, W, and D

• "yyyy-MM-dd HH:mm:ss"

  For the following data frequencies: H, 30min, 15min, and 1min; and optionally, for: Y, M, W, and D

If the format isn't specified, Amazon Forecast expects the format to be "yyyy-MM-dd HH:mm:ss".

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 CreateDatasetImportJobRequest clone()

Description copied from class: AmazonWebServiceRequest

Creates a shallow clone of this object for all fields except the handler context. Explicitly does not clone the deep structure of the other fields in the message.

Overrides:

clone in class AmazonWebServiceRequest

See Also:

Object.clone()