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Create a new FeatureGroup

Source: R/sagemaker_operations.R
sagemaker_create_feature_group.Rd

Create a new FeatureGroup. A FeatureGroup is a group of Features defined in the FeatureStore to describe a Record.

See https://www.paws-r-sdk.com/docs/sagemaker_create_feature_group/ for full documentation.

Usage

sagemaker_create_feature_group(
  FeatureGroupName,
  RecordIdentifierFeatureName,
  EventTimeFeatureName,
  FeatureDefinitions,
  OnlineStoreConfig = NULL,
  OfflineStoreConfig = NULL,
  ThroughputConfig = NULL,
  RoleArn = NULL,
  Description = NULL,
  Tags = NULL
)

Arguments

FeatureGroupName

[required] The name of the FeatureGroup. The name must be unique within an Amazon Web Services Region in an Amazon Web Services account.

The name:

  • Must start with an alphanumeric character.

  • Can only include alphanumeric characters, underscores, and hyphens. Spaces are not allowed.

RecordIdentifierFeatureName

[required] The name of the Feature whose value uniquely identifies a Record defined in the FeatureStore. Only the latest record per identifier value will be stored in the OnlineStore. RecordIdentifierFeatureName must be one of feature definitions' names.

You use the RecordIdentifierFeatureName to access data in a FeatureStore.

This name:

  • Must start with an alphanumeric character.

  • Can only contains alphanumeric characters, hyphens, underscores. Spaces are not allowed.

EventTimeFeatureName

[required] The name of the feature that stores the EventTime of a Record in a FeatureGroup.

An EventTime is a point in time when a new event occurs that corresponds to the creation or update of a Record in a FeatureGroup. All Records in the FeatureGroup must have a corresponding EventTime.

An EventTime can be a String or Fractional.

  • Fractional: EventTime feature values must be a Unix timestamp in seconds.

  • String: EventTime feature values must be an ISO-8601 string in the format. The following formats are supported yyyy-MM-dd'T'HH:mm:ssZ and yyyy-MM-dd'T'HH:mm:ss.SSSZ where yyyy, MM, and dd represent the year, month, and day respectively and HH, mm, ss, and if applicable, SSS represent the hour, month, second and milliseconds respsectively. 'T' and Z are constants.

FeatureDefinitions

[required] A list of Feature names and types. Name and Type is compulsory per Feature.

Valid feature FeatureTypes are Integral, Fractional and String.

FeatureNames cannot be any of the following: is_deleted, write_time, api_invocation_time

You can create up to 2,500 FeatureDefinitions per FeatureGroup.

OnlineStoreConfig

You can turn the OnlineStore on or off by specifying True for the EnableOnlineStore flag in OnlineStoreConfig.

You can also include an Amazon Web Services KMS key ID (KMSKeyId) for at-rest encryption of the OnlineStore.

The default value is False.

OfflineStoreConfig

Use this to configure an OfflineFeatureStore. This parameter allows you to specify:

  • The Amazon Simple Storage Service (Amazon S3) location of an OfflineStore.

  • A configuration for an Amazon Web Services Glue or Amazon Web Services Hive data catalog.

  • An KMS encryption key to encrypt the Amazon S3 location used for OfflineStore. If KMS encryption key is not specified, by default we encrypt all data at rest using Amazon Web Services KMS key. By defining your bucket-level key for SSE, you can reduce Amazon Web Services KMS requests costs by up to 99 percent.

  • Format for the offline store table. Supported formats are Glue (Default) and Apache Iceberg.

To learn more about this parameter, see OfflineStoreConfig.

ThroughputConfig

Used to set feature group throughput configuration. There are two modes: ON_DEMAND and PROVISIONED. With on-demand mode, you are charged for data reads and writes that your application performs on your feature group. You do not need to specify read and write throughput because Feature Store accommodates your workloads as they ramp up and down. You can switch a feature group to on-demand only once in a 24 hour period. With provisioned throughput mode, you specify the read and write capacity per second that you expect your application to require, and you are billed based on those limits. Exceeding provisioned throughput will result in your requests being throttled.

Note: PROVISIONED throughput mode is supported only for feature groups that are offline-only, or use the Standard tier online store.

RoleArn

The Amazon Resource Name (ARN) of the IAM execution role used to persist data into the OfflineStore if an OfflineStoreConfig is provided.

Description

A free-form description of a FeatureGroup.

Tags

Tags used to identify Features in each FeatureGroup.