[ aws . sagemaker ]



Use this operation to describe a FeatureGroup . The response includes information on the creation time, FeatureGroup name, the unique identifier for each FeatureGroup , and more.

See also: AWS API Documentation


--feature-group-name <value>
[--next-token <value>]
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
[--endpoint-url <value>]
[--output <value>]
[--query <value>]
[--profile <value>]
[--region <value>]
[--version <value>]
[--color <value>]
[--ca-bundle <value>]
[--cli-read-timeout <value>]
[--cli-connect-timeout <value>]
[--cli-binary-format <value>]


--feature-group-name (string)

The name or Amazon Resource Name (ARN) of the FeatureGroup you want described.

--next-token (string)

A token to resume pagination of the list of Features (FeatureDefinitions ). 2,500 Features are returned by default.

--cli-input-json | --cli-input-yaml (string) Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, those values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally. This may not be specified along with --cli-input-yaml.

--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. Similarly, if provided yaml-input it will print a sample input YAML that can be used with --cli-input-yaml. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command. The generated JSON skeleton is not stable between versions of the AWS CLI and there are no backwards compatibility guarantees in the JSON skeleton generated.

Global Options

--debug (boolean)

Turn on debug logging.

--endpoint-url (string)

Override command’s default URL with the given URL.

--no-verify-ssl (boolean)

By default, the AWS CLI uses SSL when communicating with AWS services. For each SSL connection, the AWS CLI will verify SSL certificates. This option overrides the default behavior of verifying SSL certificates.

--no-paginate (boolean)

Disable automatic pagination.

--output (string)

The formatting style for command output.

  • json
  • text
  • table
  • yaml
  • yaml-stream

--query (string)

A JMESPath query to use in filtering the response data.

--profile (string)

Use a specific profile from your credential file.

--region (string)

The region to use. Overrides config/env settings.

--version (string)

Display the version of this tool.

--color (string)

Turn on/off color output.

  • on
  • off
  • auto

--no-sign-request (boolean)

Do not sign requests. Credentials will not be loaded if this argument is provided.

--ca-bundle (string)

The CA certificate bundle to use when verifying SSL certificates. Overrides config/env settings.

--cli-read-timeout (int)

The maximum socket read time in seconds. If the value is set to 0, the socket read will be blocking and not timeout. The default value is 60 seconds.

--cli-connect-timeout (int)

The maximum socket connect time in seconds. If the value is set to 0, the socket connect will be blocking and not timeout. The default value is 60 seconds.

--cli-binary-format (string)

The formatting style to be used for binary blobs. The default format is base64. The base64 format expects binary blobs to be provided as a base64 encoded string. The raw-in-base64-out format preserves compatibility with AWS CLI V1 behavior and binary values must be passed literally. When providing contents from a file that map to a binary blob fileb:// will always be treated as binary and use the file contents directly regardless of the cli-binary-format setting. When using file:// the file contents will need to properly formatted for the configured cli-binary-format.

  • base64
  • raw-in-base64-out

--no-cli-pager (boolean)

Disable cli pager for output.

--cli-auto-prompt (boolean)

Automatically prompt for CLI input parameters.

--no-cli-auto-prompt (boolean)

Disable automatically prompt for CLI input parameters.


FeatureGroupArn -> (string)

The Amazon Resource Name (ARN) of the FeatureGroup .

FeatureGroupName -> (string)

he name of the FeatureGroup .

RecordIdentifierFeatureName -> (string)

The name of the Feature used for RecordIdentifier , whose value uniquely identifies a record stored in the feature store.

EventTimeFeatureName -> (string)

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 have a corresponding EventTime .

FeatureDefinitions -> (list)

A list of the Features in the FeatureGroup . Each feature is defined by a FeatureName and FeatureType .


A list of features. You must include FeatureName and FeatureType . Valid feature FeatureType s are Integral , Fractional and String .

FeatureName -> (string)

The name of a feature. The type must be a string. FeatureName cannot be any of the following: is_deleted , write_time , api_invocation_time .

The name:

  • Must start with an alphanumeric character.
  • Can only include alphanumeric characters, underscores, and hyphens. Spaces are not allowed.

FeatureType -> (string)

The value type of a feature. Valid values are Integral, Fractional, or String.

CollectionType -> (string)

A grouping of elements where each element within the collection must have the same feature type (String , Integral , or Fractional ).

  • List : An ordered collection of elements.
  • Set : An unordered collection of unique elements.
  • Vector : A specialized list that represents a fixed-size array of elements. The vector dimension is determined by you. Must have elements with fractional feature types.

CollectionConfig -> (tagged union structure)

Configuration for your collection.


This is a Tagged Union structure. Only one of the following top level keys can be set: VectorConfig.

VectorConfig -> (structure)

Configuration for your vector collection type.

  • Dimension : The number of elements in your vector.

Dimension -> (integer)

The number of elements in your vector.

CreationTime -> (timestamp)

A timestamp indicating when SageMaker created the FeatureGroup .

LastModifiedTime -> (timestamp)

A timestamp indicating when the feature group was last updated.

OnlineStoreConfig -> (structure)

The configuration for the OnlineStore .

SecurityConfig -> (structure)

Use to specify KMS Key ID (KMSKeyId ) for at-rest encryption of your OnlineStore .

KmsKeyId -> (string)

The Amazon Web Services Key Management Service (KMS) key ARN that SageMaker Feature Store uses to encrypt the Amazon S3 objects at rest using Amazon S3 server-side encryption.

The caller (either user or IAM role) of CreateFeatureGroup must have below permissions to the OnlineStore KmsKeyId :

  • "kms:Encrypt"
  • "kms:Decrypt"
  • "kms:DescribeKey"
  • "kms:CreateGrant"
  • "kms:RetireGrant"
  • "kms:ReEncryptFrom"
  • "kms:ReEncryptTo"
  • "kms:GenerateDataKey"
  • "kms:ListAliases"
  • "kms:ListGrants"
  • "kms:RevokeGrant"

The caller (either user or IAM role) to all DataPlane operations (PutRecord , GetRecord , DeleteRecord ) must have the following permissions to the KmsKeyId :

  • "kms:Decrypt"

EnableOnlineStore -> (boolean)

Turn OnlineStore off by specifying False for the EnableOnlineStore flag. Turn OnlineStore on by specifying True for the EnableOnlineStore flag.

The default value is False .

TtlDuration -> (structure)

Time to live duration, where the record is hard deleted after the expiration time is reached; ExpiresAt = EventTime + TtlDuration . For information on HardDelete, see the DeleteRecord API in the Amazon SageMaker API Reference guide.

Unit -> (string)

TtlDuration time unit.

Value -> (integer)

TtlDuration time value.

StorageType -> (string)

Option for different tiers of low latency storage for real-time data retrieval.

  • Standard : A managed low latency data store for feature groups.
  • InMemory : A managed data store for feature groups that supports very low latency retrieval.

OfflineStoreConfig -> (structure)

The configuration of the offline store. It includes the following configurations:

  • Amazon S3 location of the offline store.
  • Configuration of the Glue data catalog.
  • Table format of the offline store.
  • Option to disable the automatic creation of a Glue table for the offline store.
  • Encryption configuration.

S3StorageConfig -> (structure)

The Amazon Simple Storage (Amazon S3) location of OfflineStore .

S3Uri -> (string)

The S3 URI, or location in Amazon S3, of OfflineStore .

S3 URIs have a format similar to the following: s3://example-bucket/prefix/ .

KmsKeyId -> (string)

The Amazon Web Services Key Management Service (KMS) key ARN of the key used to encrypt any objects written into the OfflineStore S3 location.

The IAM roleARN that is passed as a parameter to CreateFeatureGroup must have below permissions to the KmsKeyId :

  • "kms:GenerateDataKey"

ResolvedOutputS3Uri -> (string)

The S3 path where offline records are written.

DisableGlueTableCreation -> (boolean)

Set to True to disable the automatic creation of an Amazon Web Services Glue table when configuring an OfflineStore . If set to False , Feature Store will name the OfflineStore Glue table following Athena’s naming recommendations .

The default value is False .

DataCatalogConfig -> (structure)

The meta data of the Glue table that is autogenerated when an OfflineStore is created.

TableName -> (string)

The name of the Glue table.

Catalog -> (string)

The name of the Glue table catalog.

Database -> (string)

The name of the Glue table database.

TableFormat -> (string)

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

ThroughputConfig -> (structure)

Active throughput configuration of the feature group. 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 https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_OnlineStoreConfig.html#sagemaker-Type-OnlineStoreConfig-StorageType`__ tier online store.

ThroughputMode -> (string)

The mode used for your feature group throughput: ON_DEMAND or PROVISIONED .

ProvisionedReadCapacityUnits -> (integer)

For provisioned feature groups with online store enabled, this indicates the read throughput you are billed for and can consume without throttling.

This field is not applicable for on-demand feature groups.

ProvisionedWriteCapacityUnits -> (integer)

For provisioned feature groups, this indicates the write throughput you are billed for and can consume without throttling.

This field is not applicable for on-demand feature groups.

RoleArn -> (string)

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

FeatureGroupStatus -> (string)

The status of the feature group.

OfflineStoreStatus -> (structure)

The status of the OfflineStore . Notifies you if replicating data into the OfflineStore has failed. Returns either: Active or Blocked

Status -> (string)

An OfflineStore status.

BlockedReason -> (string)

The justification for why the OfflineStoreStatus is Blocked (if applicable).

LastUpdateStatus -> (structure)

A value indicating whether the update made to the feature group was successful.

Status -> (string)

A value that indicates whether the update was made successful.

FailureReason -> (string)

If the update wasn’t successful, indicates the reason why it failed.

FailureReason -> (string)

The reason that the FeatureGroup failed to be replicated in the OfflineStore . This is failure can occur because:

  • The FeatureGroup could not be created in the OfflineStore .
  • The FeatureGroup could not be deleted from the OfflineStore .

Description -> (string)

A free form description of the feature group.

NextToken -> (string)

A token to resume pagination of the list of Features (FeatureDefinitions ).

OnlineStoreTotalSizeBytes -> (long)

The size of the OnlineStore in bytes.