2026/06/29 - Amazon SageMaker Feature Store Runtime - 2 new api methods
Changes Add support for ListRecords and BatchWriteRecord APIs to Feature Store.
Lists the RecordIdentifier values of all records stored in a FeatureGroup's OnlineStore. This enables you to discover which records exist without retrieving the full record data.
See also: AWS API Documentation
Request Syntax
client.list_records(
FeatureGroupName='string',
MaxResults=123,
NextToken='string',
IncludeSoftDeletedRecords=True|False
)
string
[REQUIRED]
The name or Amazon Resource Name (ARN) of the feature group to list records from.
integer
The maximum number of record identifiers to return in a single page of results. For the InMemory tier, this value is a hint and not a strict requirement. The response may contain more or fewer results than the specified MaxResults.
string
A token to resume pagination of ListRecords results.
boolean
If set to true, the result includes records that have been soft deleted.
dict
Response Syntax
{
'RecordIdentifiers': [
'string',
],
'NextToken': 'string'
}
Response Structure
(dict) --
RecordIdentifiers (list) --
A list of record identifier values for the records stored in the OnlineStore.
(string) --
NextToken (string) --
A token to resume pagination if the response includes more record identifiers than MaxResults.
Writes a batch of Records to one or more FeatureGroup``s. Use this API for bulk ingestion of records into the ``OnlineStore and OfflineStore.
You can set the ingested records to expire at a given time to live (TTL) duration after the record's event time by specifying the TtlDuration parameter. A request level TtlDuration applies to all entries that do not specify their own TtlDuration.
See also: AWS API Documentation
Request Syntax
client.batch_write_record(
Entries=[
{
'FeatureGroupName': 'string',
'Record': [
{
'FeatureName': 'string',
'ValueAsString': 'string',
'ValueAsStringList': [
'string',
]
},
],
'TargetStores': [
'OnlineStore'|'OfflineStore',
],
'TtlDuration': {
'Unit': 'Seconds'|'Minutes'|'Hours'|'Days'|'Weeks',
'Value': 123
}
},
],
TtlDuration={
'Unit': 'Seconds'|'Minutes'|'Hours'|'Days'|'Weeks',
'Value': 123
}
)
list
[REQUIRED]
A list of records to write. Each entry specifies the FeatureGroup, the record data, and optionally target stores and a TTL duration.
(dict) --
An entry to write as part of a BatchWriteRecord request.
FeatureGroupName (string) -- [REQUIRED]
The name or Amazon Resource Name (ARN) of the FeatureGroup to write the record to.
Record (list) -- [REQUIRED]
List of FeatureValues to be inserted. This will be a full over-write.
(dict) --
The value associated with a feature.
FeatureName (string) -- [REQUIRED]
The name of a feature that a feature value corresponds to.
ValueAsString (string) --
The value in string format associated with a feature. Used when your CollectionType is None. Note that features types can be String, Integral, or Fractional. This value represents all three types as a string.
ValueAsStringList (list) --
The list of values in string format associated with a feature. Used when your CollectionType is a List, Set, or Vector. Note that features types can be String, Integral, or Fractional. These values represents all three types as a string.
(string) --
TargetStores (list) --
A list of stores to which you're adding the record. By default, Feature Store adds the record to all of the stores that you're using for the FeatureGroup.
(string) --
TtlDuration (dict) --
Time to live duration for this entry, where the record is hard deleted after the expiration time is reached; ExpiresAt = EventTime + TtlDuration. This overrides the request level TtlDuration.
Unit (string) -- [REQUIRED]
TtlDuration time unit.
Value (integer) -- [REQUIRED]
TtlDuration time value.
dict
Time to live duration applied to all entries in the batch that do not specify their own TtlDuration; ExpiresAt = EventTime + TtlDuration. For information on HardDelete, see the DeleteRecord API in the Amazon SageMaker API Reference guide.
Unit (string) -- [REQUIRED]
TtlDuration time unit.
Value (integer) -- [REQUIRED]
TtlDuration time value.
dict
Response Syntax
{
'Errors': [
{
'Entry': {
'FeatureGroupName': 'string',
'Record': [
{
'FeatureName': 'string',
'ValueAsString': 'string',
'ValueAsStringList': [
'string',
]
},
],
'TargetStores': [
'OnlineStore'|'OfflineStore',
],
'TtlDuration': {
'Unit': 'Seconds'|'Minutes'|'Hours'|'Days'|'Weeks',
'Value': 123
}
},
'ErrorCode': 'string',
'ErrorMessage': 'string'
},
],
'UnprocessedEntries': [
{
'FeatureGroupName': 'string',
'Record': [
{
'FeatureName': 'string',
'ValueAsString': 'string',
'ValueAsStringList': [
'string',
]
},
],
'TargetStores': [
'OnlineStore'|'OfflineStore',
],
'TtlDuration': {
'Unit': 'Seconds'|'Minutes'|'Hours'|'Days'|'Weeks',
'Value': 123
}
},
]
}
Response Structure
(dict) --
Errors (list) --
A list of errors that occurred when writing records in the batch.
(dict) --
The error that has occurred when attempting to write a record in a batch.
Entry (dict) --
The entry that failed to be written.
FeatureGroupName (string) --
The name or Amazon Resource Name (ARN) of the FeatureGroup to write the record to.
Record (list) --
List of FeatureValues to be inserted. This will be a full over-write.
(dict) --
The value associated with a feature.
FeatureName (string) --
The name of a feature that a feature value corresponds to.
ValueAsString (string) --
The value in string format associated with a feature. Used when your CollectionType is None. Note that features types can be String, Integral, or Fractional. This value represents all three types as a string.
ValueAsStringList (list) --
The list of values in string format associated with a feature. Used when your CollectionType is a List, Set, or Vector. Note that features types can be String, Integral, or Fractional. These values represents all three types as a string.
(string) --
TargetStores (list) --
A list of stores to which you're adding the record. By default, Feature Store adds the record to all of the stores that you're using for the FeatureGroup.
(string) --
TtlDuration (dict) --
Time to live duration for this entry, where the record is hard deleted after the expiration time is reached; ExpiresAt = EventTime + TtlDuration. This overrides the request level TtlDuration.
Unit (string) --
TtlDuration time unit.
Value (integer) --
TtlDuration time value.
ErrorCode (string) --
The error code for the failed record write.
ErrorMessage (string) --
The error message for the failed record write.
UnprocessedEntries (list) --
A list of entries that were not processed. These entries can be retried.
(dict) --
An entry to write as part of a BatchWriteRecord request.
FeatureGroupName (string) --
The name or Amazon Resource Name (ARN) of the FeatureGroup to write the record to.
Record (list) --
List of FeatureValues to be inserted. This will be a full over-write.
(dict) --
The value associated with a feature.
FeatureName (string) --
The name of a feature that a feature value corresponds to.
ValueAsString (string) --
The value in string format associated with a feature. Used when your CollectionType is None. Note that features types can be String, Integral, or Fractional. This value represents all three types as a string.
ValueAsStringList (list) --
The list of values in string format associated with a feature. Used when your CollectionType is a List, Set, or Vector. Note that features types can be String, Integral, or Fractional. These values represents all three types as a string.
(string) --
TargetStores (list) --
A list of stores to which you're adding the record. By default, Feature Store adds the record to all of the stores that you're using for the FeatureGroup.
(string) --
TtlDuration (dict) --
Time to live duration for this entry, where the record is hard deleted after the expiration time is reached; ExpiresAt = EventTime + TtlDuration. This overrides the request level TtlDuration.
Unit (string) --
TtlDuration time unit.
Value (integer) --
TtlDuration time value.