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 Identity and Access Management (IAM) role that Amazon Forecast can assume to access the data.
String	getFormat() The format of the imported data, CSV or PARQUET.
String	getGeolocationFormat() The format of the geolocation attribute.
String	getImportMode() Specifies whether the dataset import job is a FULL or INCREMENTAL import.
List<Tag>	getTags() The optional metadata that you apply to the dataset import job to help you categorize and organize them.
String	getTimestampFormat() The format of timestamps in the dataset.
String	getTimeZone() A single time zone for every item in your dataset.
Boolean	getUseGeolocationForTimeZone() Automatically derive time zone information from the geolocation attribute.
int	hashCode()
Boolean	isUseGeolocationForTimeZone() Automatically derive time zone information from the geolocation attribute.
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 Identity and Access Management (IAM) role that Amazon Forecast can assume to access the data.
void	setFormat(String format) The format of the imported data, CSV or PARQUET.
void	setGeolocationFormat(String geolocationFormat) The format of the geolocation attribute.
void	setImportMode(String importMode) Specifies whether the dataset import job is a FULL or INCREMENTAL import.
void	setTags(Collection<Tag> tags) The optional metadata that you apply to the dataset import job to help you categorize and organize them.
void	setTimestampFormat(String timestampFormat) The format of timestamps in the dataset.
void	setTimeZone(String timeZone) A single time zone for every item in your dataset.
void	setUseGeolocationForTimeZone(Boolean useGeolocationForTimeZone) Automatically derive time zone information from the geolocation attribute.
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 Identity and Access Management (IAM) role that Amazon Forecast can assume to access the data.
CreateDatasetImportJobRequest	withFormat(String format) The format of the imported data, CSV or PARQUET.
CreateDatasetImportJobRequest	withGeolocationFormat(String geolocationFormat) The format of the geolocation attribute.
CreateDatasetImportJobRequest	withImportMode(ImportMode importMode) Specifies whether the dataset import job is a FULL or INCREMENTAL import.
CreateDatasetImportJobRequest	withImportMode(String importMode) Specifies whether the dataset import job is a FULL or INCREMENTAL import.
CreateDatasetImportJobRequest	withTags(Collection<Tag> tags) The optional metadata that you apply to the dataset import job to help you categorize and organize them.
CreateDatasetImportJobRequest	withTags(Tag... tags) The optional metadata that you apply to the dataset import job to help you categorize and organize them.
CreateDatasetImportJobRequest	withTimestampFormat(String timestampFormat) The format of timestamps in the dataset.
CreateDatasetImportJobRequest	withTimeZone(String timeZone) A single time zone for every item in your dataset.
CreateDatasetImportJobRequest	withUseGeolocationForTimeZone(Boolean useGeolocationForTimeZone) Automatically derive time zone information from the geolocation attribute.

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 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 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 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 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 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 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 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 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 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 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 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 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.

setTimeZone

public void setTimeZone(String timeZone)

A single time zone for every item in your dataset. This option is ideal for datasets with all timestamps within a single time zone, or if all timestamps are normalized to a single time zone.

Refer to the Joda-Time API for a complete list of valid time zone names.

Parameters:

timeZone - A single time zone for every item in your dataset. This option is ideal for datasets with all timestamps within a single time zone, or if all timestamps are normalized to a single time zone.

Refer to the Joda-Time API for a complete list of valid time zone names.

getTimeZone

public String getTimeZone()

A single time zone for every item in your dataset. This option is ideal for datasets with all timestamps within a single time zone, or if all timestamps are normalized to a single time zone.

Refer to the Joda-Time API for a complete list of valid time zone names.

Returns:

A single time zone for every item in your dataset. This option is ideal for datasets with all timestamps within a single time zone, or if all timestamps are normalized to a single time zone.

Refer to the Joda-Time API for a complete list of valid time zone names.

withTimeZone

public CreateDatasetImportJobRequest withTimeZone(String timeZone)

A single time zone for every item in your dataset. This option is ideal for datasets with all timestamps within a single time zone, or if all timestamps are normalized to a single time zone.

Refer to the Joda-Time API for a complete list of valid time zone names.

Parameters:

timeZone - A single time zone for every item in your dataset. This option is ideal for datasets with all timestamps within a single time zone, or if all timestamps are normalized to a single time zone.

Refer to the Joda-Time API for a complete list of valid time zone names.

Returns:

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

setUseGeolocationForTimeZone

public void setUseGeolocationForTimeZone(Boolean useGeolocationForTimeZone)

Automatically derive time zone information from the geolocation attribute. This option is ideal for datasets that contain timestamps in multiple time zones and those timestamps are expressed in local time.

Parameters:

useGeolocationForTimeZone - Automatically derive time zone information from the geolocation attribute. This option is ideal for datasets that contain timestamps in multiple time zones and those timestamps are expressed in local time.

getUseGeolocationForTimeZone

public Boolean getUseGeolocationForTimeZone()

Automatically derive time zone information from the geolocation attribute. This option is ideal for datasets that contain timestamps in multiple time zones and those timestamps are expressed in local time.

Returns:

Automatically derive time zone information from the geolocation attribute. This option is ideal for datasets that contain timestamps in multiple time zones and those timestamps are expressed in local time.

withUseGeolocationForTimeZone

public CreateDatasetImportJobRequest withUseGeolocationForTimeZone(Boolean useGeolocationForTimeZone)

Automatically derive time zone information from the geolocation attribute. This option is ideal for datasets that contain timestamps in multiple time zones and those timestamps are expressed in local time.

Parameters:

useGeolocationForTimeZone - Automatically derive time zone information from the geolocation attribute. This option is ideal for datasets that contain timestamps in multiple time zones and those timestamps are expressed in local time.

Returns:

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

isUseGeolocationForTimeZone

public Boolean isUseGeolocationForTimeZone()

Automatically derive time zone information from the geolocation attribute. This option is ideal for datasets that contain timestamps in multiple time zones and those timestamps are expressed in local time.

Returns:

Automatically derive time zone information from the geolocation attribute. This option is ideal for datasets that contain timestamps in multiple time zones and those timestamps are expressed in local time.

setGeolocationFormat

public void setGeolocationFormat(String geolocationFormat)

The format of the geolocation attribute. The geolocation attribute can be formatted in one of two ways:

• LAT_LONG - the latitude and longitude in decimal format (Example: 47.61_-122.33).

• CC_POSTALCODE (US Only) - the country code (US), followed by the 5-digit ZIP code (Example: US_98121).

Parameters:

geolocationFormat - The format of the geolocation attribute. The geolocation attribute can be formatted in one of two ways:

• LAT_LONG - the latitude and longitude in decimal format (Example: 47.61_-122.33).

• CC_POSTALCODE (US Only) - the country code (US), followed by the 5-digit ZIP code (Example: US_98121).

getGeolocationFormat

public String getGeolocationFormat()

The format of the geolocation attribute. The geolocation attribute can be formatted in one of two ways:

• LAT_LONG - the latitude and longitude in decimal format (Example: 47.61_-122.33).

• CC_POSTALCODE (US Only) - the country code (US), followed by the 5-digit ZIP code (Example: US_98121).

Returns:

The format of the geolocation attribute. The geolocation attribute can be formatted in one of two ways:

• LAT_LONG - the latitude and longitude in decimal format (Example: 47.61_-122.33).

• CC_POSTALCODE (US Only) - the country code (US), followed by the 5-digit ZIP code (Example: US_98121).

withGeolocationFormat

public CreateDatasetImportJobRequest withGeolocationFormat(String geolocationFormat)

The format of the geolocation attribute. The geolocation attribute can be formatted in one of two ways:

• LAT_LONG - the latitude and longitude in decimal format (Example: 47.61_-122.33).

• CC_POSTALCODE (US Only) - the country code (US), followed by the 5-digit ZIP code (Example: US_98121).

Parameters:

geolocationFormat - The format of the geolocation attribute. The geolocation attribute can be formatted in one of two ways:

• LAT_LONG - the latitude and longitude in decimal format (Example: 47.61_-122.33).

• CC_POSTALCODE (US Only) - the country code (US), followed by the 5-digit ZIP code (Example: US_98121).

Returns:

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

getTags

public List<Tag> getTags()

The optional metadata that you apply to the dataset import job to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.

The following basic restrictions apply to tags:

• Maximum number of tags per resource - 50.

• For each resource, each tag key must be unique, and each tag key can have only one value.

• Maximum key length - 128 Unicode characters in UTF-8.

• Maximum value length - 256 Unicode characters in UTF-8.

• If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.

• Tag keys and values are case sensitive.

• Do not use aws:, AWS:, or any upper or lowercase combination of such as a prefix for keys as it is reserved for Amazon Web Services use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has aws as its prefix but the key does not, then Forecast considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit.

Returns:

The optional metadata that you apply to the dataset import job to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.

The following basic restrictions apply to tags:

• Maximum number of tags per resource - 50.

• For each resource, each tag key must be unique, and each tag key can have only one value.

• Maximum key length - 128 Unicode characters in UTF-8.

• Maximum value length - 256 Unicode characters in UTF-8.

• If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.

• Tag keys and values are case sensitive.

• Do not use aws:, AWS:, or any upper or lowercase combination of such as a prefix for keys as it is reserved for Amazon Web Services use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has aws as its prefix but the key does not, then Forecast considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit.

setTags

public void setTags(Collection<Tag> tags)

The optional metadata that you apply to the dataset import job to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.

The following basic restrictions apply to tags:

• Maximum number of tags per resource - 50.

• For each resource, each tag key must be unique, and each tag key can have only one value.

• Maximum key length - 128 Unicode characters in UTF-8.

• Maximum value length - 256 Unicode characters in UTF-8.

• If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.

• Tag keys and values are case sensitive.

• Do not use aws:, AWS:, or any upper or lowercase combination of such as a prefix for keys as it is reserved for Amazon Web Services use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has aws as its prefix but the key does not, then Forecast considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit.

Parameters:

tags - The optional metadata that you apply to the dataset import job to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.

The following basic restrictions apply to tags:

• Maximum number of tags per resource - 50.

• For each resource, each tag key must be unique, and each tag key can have only one value.

• Maximum key length - 128 Unicode characters in UTF-8.

• Maximum value length - 256 Unicode characters in UTF-8.

• If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.

• Tag keys and values are case sensitive.

• Do not use aws:, AWS:, or any upper or lowercase combination of such as a prefix for keys as it is reserved for Amazon Web Services use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has aws as its prefix but the key does not, then Forecast considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit.

withTags

public CreateDatasetImportJobRequest withTags(Tag... tags)

The optional metadata that you apply to the dataset import job to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.

The following basic restrictions apply to tags:

• Maximum number of tags per resource - 50.

• For each resource, each tag key must be unique, and each tag key can have only one value.

• Maximum key length - 128 Unicode characters in UTF-8.

• Maximum value length - 256 Unicode characters in UTF-8.

• If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.

• Tag keys and values are case sensitive.

• Do not use aws:, AWS:, or any upper or lowercase combination of such as a prefix for keys as it is reserved for Amazon Web Services use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has aws as its prefix but the key does not, then Forecast considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit.

NOTE: This method appends the values to the existing list (if any). Use setTags(java.util.Collection) or withTags(java.util.Collection) if you want to override the existing values.

Parameters:

tags - The optional metadata that you apply to the dataset import job to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.

The following basic restrictions apply to tags:

• Maximum number of tags per resource - 50.

• For each resource, each tag key must be unique, and each tag key can have only one value.

• Maximum key length - 128 Unicode characters in UTF-8.

• Maximum value length - 256 Unicode characters in UTF-8.

• If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.

• Tag keys and values are case sensitive.

• Do not use aws:, AWS:, or any upper or lowercase combination of such as a prefix for keys as it is reserved for Amazon Web Services use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has aws as its prefix but the key does not, then Forecast considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit.

Returns:

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

withTags

public CreateDatasetImportJobRequest withTags(Collection<Tag> tags)

The optional metadata that you apply to the dataset import job to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.

The following basic restrictions apply to tags:

• Maximum number of tags per resource - 50.

• For each resource, each tag key must be unique, and each tag key can have only one value.

• Maximum key length - 128 Unicode characters in UTF-8.

• Maximum value length - 256 Unicode characters in UTF-8.

• If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.

• Tag keys and values are case sensitive.

• Do not use aws:, AWS:, or any upper or lowercase combination of such as a prefix for keys as it is reserved for Amazon Web Services use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has aws as its prefix but the key does not, then Forecast considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit.

Parameters:

tags - The optional metadata that you apply to the dataset import job to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.

The following basic restrictions apply to tags:

• Maximum number of tags per resource - 50.

• For each resource, each tag key must be unique, and each tag key can have only one value.

• Maximum key length - 128 Unicode characters in UTF-8.

• Maximum value length - 256 Unicode characters in UTF-8.

• If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.

• Tag keys and values are case sensitive.

• Do not use aws:, AWS:, or any upper or lowercase combination of such as a prefix for keys as it is reserved for Amazon Web Services use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has aws as its prefix but the key does not, then Forecast considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit.

Returns:

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

setFormat

public void setFormat(String format)

The format of the imported data, CSV or PARQUET. The default value is CSV.

Parameters:

format - The format of the imported data, CSV or PARQUET. The default value is CSV.

getFormat

public String getFormat()

The format of the imported data, CSV or PARQUET. The default value is CSV.

Returns:

The format of the imported data, CSV or PARQUET. The default value is CSV.

withFormat

public CreateDatasetImportJobRequest withFormat(String format)

The format of the imported data, CSV or PARQUET. The default value is CSV.

Parameters:

format - The format of the imported data, CSV or PARQUET. The default value is CSV.

Returns:

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

setImportMode

public void setImportMode(String importMode)

Specifies whether the dataset import job is a FULL or INCREMENTAL import. A FULL dataset import replaces all of the existing data with the newly imported data. An INCREMENTAL import appends the imported data to the existing data.

Parameters:

importMode - Specifies whether the dataset import job is a FULL or INCREMENTAL import. A FULL dataset import replaces all of the existing data with the newly imported data. An INCREMENTAL import appends the imported data to the existing data.

See Also:

ImportMode

getImportMode

public String getImportMode()

Specifies whether the dataset import job is a FULL or INCREMENTAL import. A FULL dataset import replaces all of the existing data with the newly imported data. An INCREMENTAL import appends the imported data to the existing data.

Returns:

Specifies whether the dataset import job is a FULL or INCREMENTAL import. A FULL dataset import replaces all of the existing data with the newly imported data. An INCREMENTAL import appends the imported data to the existing data.

See Also:

ImportMode

withImportMode

public CreateDatasetImportJobRequest withImportMode(String importMode)

Specifies whether the dataset import job is a FULL or INCREMENTAL import. A FULL dataset import replaces all of the existing data with the newly imported data. An INCREMENTAL import appends the imported data to the existing data.

Parameters:

importMode - Specifies whether the dataset import job is a FULL or INCREMENTAL import. A FULL dataset import replaces all of the existing data with the newly imported data. An INCREMENTAL import appends the imported data to the existing data.

Returns:

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

See Also:

ImportMode

withImportMode

public CreateDatasetImportJobRequest withImportMode(ImportMode importMode)

Specifies whether the dataset import job is a FULL or INCREMENTAL import. A FULL dataset import replaces all of the existing data with the newly imported data. An INCREMENTAL import appends the imported data to the existing data.

Parameters:

importMode - Specifies whether the dataset import job is a FULL or INCREMENTAL import. A FULL dataset import replaces all of the existing data with the newly imported data. An INCREMENTAL import appends the imported data to the existing data.

Returns:

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

See Also:

ImportMode

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()