feat(client-sagemaker): Online store feature groups supports Standard…

… and InMemory tier storage types for low latency storage for real-time data retrieval. The InMemory tier supports collection types List, Set, and Vector.
aws · Sep 28, 2023 · 5fc40b0 · 5fc40b0
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diff --git a/clients/client-sagemaker/src/commands/CreateAutoMLJobCommand.ts b/clients/client-sagemaker/src/commands/CreateAutoMLJobCommand.ts
@@ -42,8 +42,8 @@ export interface CreateAutoMLJobCommandOutput extends CreateAutoMLJobResponse, _
  *             <p>We recommend using the new versions <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateAutoMLJobV2.html">CreateAutoMLJobV2</a> and <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeAutoMLJobV2.html">DescribeAutoMLJobV2</a>, which offer backward compatibility.</p>
  *             <p>
  *                <code>CreateAutoMLJobV2</code> can manage tabular problem types identical to those of
- *             its previous version <code>CreateAutoMLJob</code>, as well as non-tabular problem types
- *             such as image or text classification.</p>
+ *             its previous version <code>CreateAutoMLJob</code>, as well as time-series forecasting,
+ *             and non-tabular problem types such as image or text classification.</p>
  *             <p>Find guidelines about how to migrate a <code>CreateAutoMLJob</code> to
  *                <code>CreateAutoMLJobV2</code> in <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/autopilot-automate-model-development-create-experiment-api.html#autopilot-create-experiment-api-migrate-v1-v2">Migrate a CreateAutoMLJob to CreateAutoMLJobV2</a>.</p>
  *          </note>

diff --git a/clients/client-sagemaker/src/commands/CreateAutoMLJobV2Command.ts b/clients/client-sagemaker/src/commands/CreateAutoMLJobV2Command.ts
@@ -44,8 +44,8 @@ export interface CreateAutoMLJobV2CommandOutput extends CreateAutoMLJobV2Respons
  *             and <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeAutoMLJob.html">DescribeAutoMLJob</a> which offer backward compatibility.</p>
  *             <p>
  *                <code>CreateAutoMLJobV2</code> can manage tabular problem types identical to those of
- *             its previous version <code>CreateAutoMLJob</code>, as well as non-tabular problem types
- *             such as image or text classification.</p>
+ *             its previous version <code>CreateAutoMLJob</code>, as well as time-series forecasting,
+ *             and non-tabular problem types such as image or text classification.</p>
  *             <p>Find guidelines about how to migrate a <code>CreateAutoMLJob</code> to
  *                <code>CreateAutoMLJobV2</code> in <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/autopilot-automate-model-development-create-experiment-api.html#autopilot-create-experiment-api-migrate-v1-v2">Migrate a CreateAutoMLJob to CreateAutoMLJobV2</a>.</p>
  *          </note>

diff --git a/clients/client-sagemaker/src/commands/CreateDataQualityJobDefinitionCommand.ts b/clients/client-sagemaker/src/commands/CreateDataQualityJobDefinitionCommand.ts
@@ -43,7 +43,8 @@ export interface CreateDataQualityJobDefinitionCommandOutput
 /**
  * @public
  * <p>Creates a definition for a job that monitors data quality and drift. For information
- *          about model monitor, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/model-monitor.html">Amazon SageMaker Model Monitor</a>.</p>
+ *          about model monitor, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/model-monitor.html">Amazon SageMaker Model
+ *          Monitor</a>.</p>
  * @example
  * Use a bare-bones client and the command you need to make an API call.
  * ```javascript

diff --git a/clients/client-sagemaker/src/commands/CreateFeatureGroupCommand.ts b/clients/client-sagemaker/src/commands/CreateFeatureGroupCommand.ts
@@ -65,6 +65,12 @@ export interface CreateFeatureGroupCommandOutput extends CreateFeatureGroupRespo
  *     { // FeatureDefinition
  *       FeatureName: "STRING_VALUE",
  *       FeatureType: "Integral" || "Fractional" || "String",
+ *       CollectionType: "List" || "Set" || "Vector",
+ *       CollectionConfig: { // CollectionConfig Union: only one key present
+ *         VectorConfig: { // VectorConfig
+ *           Dimension: Number("int"), // required
+ *         },
+ *       },
  *     },
  *   ],
  *   OnlineStoreConfig: { // OnlineStoreConfig
@@ -76,6 +82,7 @@ export interface CreateFeatureGroupCommandOutput extends CreateFeatureGroupRespo
  *       Unit: "Seconds" || "Minutes" || "Hours" || "Days" || "Weeks",
  *       Value: Number("int"),
  *     },
+ *     StorageType: "Standard" || "InMemory",
  *   },
  *   OfflineStoreConfig: { // OfflineStoreConfig
  *     S3StorageConfig: { // S3StorageConfig

diff --git a/clients/client-sagemaker/src/commands/CreateModelQualityJobDefinitionCommand.ts b/clients/client-sagemaker/src/commands/CreateModelQualityJobDefinitionCommand.ts
@@ -43,7 +43,8 @@ export interface CreateModelQualityJobDefinitionCommandOutput
 /**
  * @public
  * <p>Creates a definition for a job that monitors model quality and drift. For information
- *          about model monitor, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/model-monitor.html">Amazon SageMaker Model Monitor</a>.</p>
+ *          about model monitor, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/model-monitor.html">Amazon SageMaker Model
+ *          Monitor</a>.</p>
  * @example
  * Use a bare-bones client and the command you need to make an API call.
  * ```javascript

diff --git a/clients/client-sagemaker/src/commands/CreateMonitoringScheduleCommand.ts b/clients/client-sagemaker/src/commands/CreateMonitoringScheduleCommand.ts
@@ -37,8 +37,8 @@ export interface CreateMonitoringScheduleCommandOutput extends CreateMonitoringS
 
 /**
  * @public
- * <p>Creates a schedule that regularly starts Amazon SageMaker Processing Jobs to monitor the data
- *          captured for an Amazon SageMaker Endpoint.</p>
+ * <p>Creates a schedule that regularly starts Amazon SageMaker Processing Jobs to
+ *          monitor the data captured for an Amazon SageMaker Endpoint.</p>
  * @example
  * Use a bare-bones client and the command you need to make an API call.
  * ```javascript

diff --git a/clients/client-sagemaker/src/commands/DeleteDomainCommand.ts b/clients/client-sagemaker/src/commands/DeleteDomainCommand.ts
@@ -14,7 +14,7 @@ import {
   SMITHY_CONTEXT_KEY,
 } from "@smithy/types";
 
-import { DeleteDomainRequest } from "../models/models_1";
+import { DeleteDomainRequest } from "../models/models_2";
 import { de_DeleteDomainCommand, se_DeleteDomainCommand } from "../protocols/Aws_json1_1";
 import { SageMakerClientResolvedConfig, ServiceInputTypes, ServiceOutputTypes } from "../SageMakerClient";
 

diff --git a/clients/client-sagemaker/src/commands/DeleteEdgeDeploymentPlanCommand.ts b/clients/client-sagemaker/src/commands/DeleteEdgeDeploymentPlanCommand.ts
@@ -14,7 +14,7 @@ import {
   SMITHY_CONTEXT_KEY,
 } from "@smithy/types";
 
-import { DeleteEdgeDeploymentPlanRequest } from "../models/models_1";
+import { DeleteEdgeDeploymentPlanRequest } from "../models/models_2";
 import { de_DeleteEdgeDeploymentPlanCommand, se_DeleteEdgeDeploymentPlanCommand } from "../protocols/Aws_json1_1";
 import { SageMakerClientResolvedConfig, ServiceInputTypes, ServiceOutputTypes } from "../SageMakerClient";
 

diff --git a/clients/client-sagemaker/src/commands/DeleteEdgeDeploymentStageCommand.ts b/clients/client-sagemaker/src/commands/DeleteEdgeDeploymentStageCommand.ts
@@ -14,7 +14,7 @@ import {
   SMITHY_CONTEXT_KEY,
 } from "@smithy/types";
 
-import { DeleteEdgeDeploymentStageRequest } from "../models/models_1";
+import { DeleteEdgeDeploymentStageRequest } from "../models/models_2";
 import { de_DeleteEdgeDeploymentStageCommand, se_DeleteEdgeDeploymentStageCommand } from "../protocols/Aws_json1_1";
 import { SageMakerClientResolvedConfig, ServiceInputTypes, ServiceOutputTypes } from "../SageMakerClient";
 

diff --git a/clients/client-sagemaker/src/commands/DeleteEndpointCommand.ts b/clients/client-sagemaker/src/commands/DeleteEndpointCommand.ts
@@ -14,7 +14,7 @@ import {
   SMITHY_CONTEXT_KEY,
 } from "@smithy/types";
 
-import { DeleteEndpointInput } from "../models/models_1";
+import { DeleteEndpointInput } from "../models/models_2";
 import { de_DeleteEndpointCommand, se_DeleteEndpointCommand } from "../protocols/Aws_json1_1";
 import { SageMakerClientResolvedConfig, ServiceInputTypes, ServiceOutputTypes } from "../SageMakerClient";
 

diff --git a/clients/client-sagemaker/src/commands/DescribeFeatureGroupCommand.ts b/clients/client-sagemaker/src/commands/DescribeFeatureGroupCommand.ts
@@ -61,6 +61,12 @@ export interface DescribeFeatureGroupCommandOutput extends DescribeFeatureGroupR
  * //     { // FeatureDefinition
  * //       FeatureName: "STRING_VALUE",
  * //       FeatureType: "Integral" || "Fractional" || "String",
+ * //       CollectionType: "List" || "Set" || "Vector",
+ * //       CollectionConfig: { // CollectionConfig Union: only one key present
+ * //         VectorConfig: { // VectorConfig
+ * //           Dimension: Number("int"), // required
+ * //         },
+ * //       },
  * //     },
  * //   ],
  * //   CreationTime: new Date("TIMESTAMP"), // required
@@ -74,6 +80,7 @@ export interface DescribeFeatureGroupCommandOutput extends DescribeFeatureGroupR
  * //       Unit: "Seconds" || "Minutes" || "Hours" || "Days" || "Weeks",
  * //       Value: Number("int"),
  * //     },
+ * //     StorageType: "Standard" || "InMemory",
  * //   },
  * //   OfflineStoreConfig: { // OfflineStoreConfig
  * //     S3StorageConfig: { // S3StorageConfig

diff --git a/clients/client-sagemaker/src/commands/SearchCommand.ts b/clients/client-sagemaker/src/commands/SearchCommand.ts
@@ -1351,6 +1351,12 @@ export interface SearchCommandOutput extends SearchResponse, __MetadataBearer {}
  * //           { // FeatureDefinition
  * //             FeatureName: "STRING_VALUE",
  * //             FeatureType: "Integral" || "Fractional" || "String",
+ * //             CollectionType: "List" || "Set" || "Vector",
+ * //             CollectionConfig: { // CollectionConfig Union: only one key present
+ * //               VectorConfig: { // VectorConfig
+ * //                 Dimension: Number("int"), // required
+ * //               },
+ * //             },
  * //           },
  * //         ],
  * //         CreationTime: new Date("TIMESTAMP"),
@@ -1364,6 +1370,7 @@ export interface SearchCommandOutput extends SearchResponse, __MetadataBearer {}
  * //             Unit: "Seconds" || "Minutes" || "Hours" || "Days" || "Weeks",
  * //             Value: Number("int"),
  * //           },
+ * //           StorageType: "Standard" || "InMemory",
  * //         },
  * //         OfflineStoreConfig: { // OfflineStoreConfig
  * //           S3StorageConfig: { // S3StorageConfig

diff --git a/clients/client-sagemaker/src/commands/UpdateFeatureGroupCommand.ts b/clients/client-sagemaker/src/commands/UpdateFeatureGroupCommand.ts
@@ -61,6 +61,12 @@ export interface UpdateFeatureGroupCommandOutput extends UpdateFeatureGroupRespo
  *     { // FeatureDefinition
  *       FeatureName: "STRING_VALUE",
  *       FeatureType: "Integral" || "Fractional" || "String",
+ *       CollectionType: "List" || "Set" || "Vector",
+ *       CollectionConfig: { // CollectionConfig Union: only one key present
+ *         VectorConfig: { // VectorConfig
+ *           Dimension: Number("int"), // required
+ *         },
+ *       },
  *     },
  *   ],
  *   OnlineStoreConfig: { // OnlineStoreConfigUpdate