SageMaker / Client / describe_feature_group
describe_feature_group#
- SageMaker.Client.describe_feature_group(**kwargs)#
Use this operation to describe a
FeatureGroup
. The response includes information on the creation time,FeatureGroup
name, the unique identifier for eachFeatureGroup
, and more.See also: AWS API Documentation
Request Syntax
response = client.describe_feature_group( FeatureGroupName='string', NextToken='string' )
- Parameters:
FeatureGroupName (string) –
[REQUIRED]
The name or Amazon Resource Name (ARN) of the
FeatureGroup
you want described.NextToken (string) – A token to resume pagination of the list of
Features
(FeatureDefinitions
). 2,500Features
are returned by default.
- Return type:
dict
- Returns:
Response Syntax
{ 'FeatureGroupArn': 'string', 'FeatureGroupName': 'string', 'RecordIdentifierFeatureName': 'string', 'EventTimeFeatureName': 'string', 'FeatureDefinitions': [ { 'FeatureName': 'string', 'FeatureType': 'Integral'|'Fractional'|'String', 'CollectionType': 'List'|'Set'|'Vector', 'CollectionConfig': { 'VectorConfig': { 'Dimension': 123 } } }, ], 'CreationTime': datetime(2015, 1, 1), 'LastModifiedTime': datetime(2015, 1, 1), 'OnlineStoreConfig': { 'SecurityConfig': { 'KmsKeyId': 'string' }, 'EnableOnlineStore': True|False, 'TtlDuration': { 'Unit': 'Seconds'|'Minutes'|'Hours'|'Days'|'Weeks', 'Value': 123 }, 'StorageType': 'Standard'|'InMemory' }, 'OfflineStoreConfig': { 'S3StorageConfig': { 'S3Uri': 'string', 'KmsKeyId': 'string', 'ResolvedOutputS3Uri': 'string' }, 'DisableGlueTableCreation': True|False, 'DataCatalogConfig': { 'TableName': 'string', 'Catalog': 'string', 'Database': 'string' }, 'TableFormat': 'Default'|'Glue'|'Iceberg' }, 'ThroughputConfig': { 'ThroughputMode': 'OnDemand'|'Provisioned', 'ProvisionedReadCapacityUnits': 123, 'ProvisionedWriteCapacityUnits': 123 }, 'RoleArn': 'string', 'FeatureGroupStatus': 'Creating'|'Created'|'CreateFailed'|'Deleting'|'DeleteFailed', 'OfflineStoreStatus': { 'Status': 'Active'|'Blocked'|'Disabled', 'BlockedReason': 'string' }, 'LastUpdateStatus': { 'Status': 'Successful'|'Failed'|'InProgress', 'FailureReason': 'string' }, 'FailureReason': 'string', 'Description': 'string', 'NextToken': 'string', 'OnlineStoreTotalSizeBytes': 123 }
Response Structure
(dict) –
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 forRecordIdentifier
, 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 aFeatureGroup
.An
EventTime
is a point in time when a new event occurs that corresponds to the creation or update of aRecord
in aFeatureGroup
. AllRecords
in theFeatureGroup
have a correspondingEventTime
.FeatureDefinitions (list) –
A list of the
Features
in theFeatureGroup
. Each feature is defined by aFeatureName
andFeatureType
.(dict) –
A list of features. You must include
FeatureName
andFeatureType
. Valid featureFeatureType``s are ``Integral
,Fractional
andString
.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 and end 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
, orFractional
).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 (dict) –
Configuration for your collection.
Note
This is a Tagged Union structure. Only one of the following top level keys will be set:
VectorConfig
. If a client receives an unknown member it will setSDK_UNKNOWN_MEMBER
as the top level key, which maps to the name or tag of the unknown member. The structure ofSDK_UNKNOWN_MEMBER
is as follows:'SDK_UNKNOWN_MEMBER': {'name': 'UnknownMemberName'}
VectorConfig (dict) –
Configuration for your vector collection type.
Dimension
: The number of elements in your vector.
Dimension (integer) –
The number of elements in your vector.
CreationTime (datetime) –
A timestamp indicating when SageMaker created the
FeatureGroup
.LastModifiedTime (datetime) –
A timestamp indicating when the feature group was last updated.
OnlineStoreConfig (dict) –
The configuration for the
OnlineStore
.SecurityConfig (dict) –
Use to specify KMS Key ID (
KMSKeyId
) for at-rest encryption of yourOnlineStore
.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 theOnlineStore
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 theKmsKeyId
:"kms:Decrypt"
EnableOnlineStore (boolean) –
Turn
OnlineStore
off by specifyingFalse
for theEnableOnlineStore
flag. TurnOnlineStore
on by specifyingTrue
for theEnableOnlineStore
flag.The default value is
False
.TtlDuration (dict) –
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 (dict) –
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 (dict) –
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 toCreateFeatureGroup
must have below permissions to theKmsKeyId
:"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 anOfflineStore
. If set toFalse
, Feature Store will name theOfflineStore
Glue table following Athena’s naming recommendations.The default value is
False
.DataCatalogConfig (dict) –
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 (dict) –
Active throughput configuration of the feature group. There are two modes:
ON_DEMAND
andPROVISIONED
. 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.ThroughputMode (string) –
The mode used for your feature group throughput:
ON_DEMAND
orPROVISIONED
.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 (dict) –
The status of the
OfflineStore
. Notifies you if replicating data into theOfflineStore
has failed. Returns either:Active
orBlocked
Status (string) –
An
OfflineStore
status.BlockedReason (string) –
The justification for why the OfflineStoreStatus is Blocked (if applicable).
LastUpdateStatus (dict) –
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 theOfflineStore
. This is failure can occur because:The
FeatureGroup
could not be created in theOfflineStore
.The
FeatureGroup
could not be deleted from theOfflineStore
.
Description (string) –
A free form description of the feature group.
NextToken (string) –
A token to resume pagination of the list of
Features
(FeatureDefinitions
).OnlineStoreTotalSizeBytes (integer) –
The size of the
OnlineStore
in bytes.
Exceptions
SageMaker.Client.exceptions.ResourceNotFound