Package software.amazon.awssdk.services.forecast.model

Interface CreateDatasetImportJobRequest.Builder

All Superinterfaces:
AwsRequest.Builder, Buildable, CopyableBuilder<CreateDatasetImportJobRequest.Builder,CreateDatasetImportJobRequest>, ForecastRequest.Builder, SdkBuilder<CreateDatasetImportJobRequest.Builder,CreateDatasetImportJobRequest>, SdkPojo, SdkRequest.Builder
Enclosing class:
CreateDatasetImportJobRequest
public static interface CreateDatasetImportJobRequest.Builder extends ForecastRequest.Builder, SdkPojo, CopyableBuilder<CreateDatasetImportJobRequest.Builder,CreateDatasetImportJobRequest>

  • Method Details

    • datasetImportJobName

      CreateDatasetImportJobRequest.Builder datasetImportJobName(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.

    • datasetArn

      CreateDatasetImportJobRequest.Builder datasetArn(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.

    • dataSource

      CreateDatasetImportJobRequest.Builder dataSource(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.

    • dataSource

      default CreateDatasetImportJobRequest.Builder dataSource(Consumer<DataSource.Builder> 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.

      This is a convenience method that creates an instance of the DataSource.Builder avoiding the need to create one manually via DataSource.builder().

      When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to dataSource(DataSource).

      Parameters:
      dataSource - a consumer that will call methods on DataSource.Builder
      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:

    • timestampFormat

      CreateDatasetImportJobRequest.Builder timestampFormat(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.

    • timeZone

      CreateDatasetImportJobRequest.Builder timeZone(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.

    • useGeolocationForTimeZone

      CreateDatasetImportJobRequest.Builder useGeolocationForTimeZone(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.

    • geolocationFormat

      CreateDatasetImportJobRequest.Builder geolocationFormat(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.

    • tags

      CreateDatasetImportJobRequest.Builder tags(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.

    • tags

      CreateDatasetImportJobRequest.Builder tags(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.

    • tags

      CreateDatasetImportJobRequest.Builder tags(Consumer<Tag.Builder>... 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.

      This is a convenience method that creates an instance of the Tag.Builder avoiding the need to create one manually via Tag.builder().

      When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to tags(List<Tag>).

      Parameters:
      tags - a consumer that will call methods on Tag.Builder
      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:

    • format

      CreateDatasetImportJobRequest.Builder format(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.

    • importMode

      CreateDatasetImportJobRequest.Builder importMode(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

      CreateDatasetImportJobRequest.Builder importMode(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:

    • overrideConfiguration

      CreateDatasetImportJobRequest.Builder overrideConfiguration(AwsRequestOverrideConfiguration overrideConfiguration)
      Description copied from interface: AwsRequest.Builder
      Add an optional request override configuration.
      Specified by:
      overrideConfiguration in interface AwsRequest.Builder
      Parameters:
      overrideConfiguration - The override configuration.
      Returns:
      This object for method chaining.

    • overrideConfiguration

      CreateDatasetImportJobRequest.Builder overrideConfiguration(Consumer<AwsRequestOverrideConfiguration.Builder> builderConsumer)
      Description copied from interface: AwsRequest.Builder
      Add an optional request override configuration.
      Specified by:
      overrideConfiguration in interface AwsRequest.Builder
      Parameters:
      builderConsumer - A Consumer to which an empty AwsRequestOverrideConfiguration.Builder will be given.
      Returns:
      This object for method chaining.