Amazon Personalize Update: My AWS Service (placeholder) - Making minProvisionedTPS an optional parameter when creating a campaign. If not provided, it defaults to 1.

Author: AWS

.changes/next-release/feature-AmazonPersonalize-8f23858.json

@@ -0,0 +1,6 @@
+{
+    "type": "feature",
+    "category": "Amazon Personalize",
+    "contributor": "",
+    "description": "My AWS Service (placeholder) - Making minProvisionedTPS an optional parameter when creating a campaign. If not provided, it defaults to 1."
+}

services/personalize/src/main/resources/codegen-resources/service-2.json

@@ -81,7 +81,7 @@
         {"shape":"LimitExceededException"},
         {"shape":"ResourceInUseException"}
       ],
-      "documentation":"<p> Creates a job that exports data from your dataset to an Amazon S3 bucket. To allow Amazon Personalize to export the training data, you must specify an service-linked AWS Identity and Access Management (IAM) role that gives Amazon Personalize <code>PutObject</code> permissions for your Amazon S3 bucket. For information, see <a href=\"https://docs.aws.amazon.com/personalize/latest/dg/export-data.html\">Exporting a dataset</a> in the Amazon Personalize developer guide. </p> <p> <b>Status</b> </p> <p>A dataset export job can be in one of the following states:</p> <ul> <li> <p>CREATE PENDING &gt; CREATE IN_PROGRESS &gt; ACTIVE -or- CREATE FAILED</p> </li> </ul> <p> To get the status of the export job, call <a>DescribeDatasetExportJob</a>, and specify the Amazon Resource Name (ARN) of the dataset export job. The dataset export is complete when the status shows as ACTIVE. If the status shows as CREATE FAILED, the response includes a <code>failureReason</code> key, which describes why the job failed. </p>",
+      "documentation":"<p> Creates a job that exports data from your dataset to an Amazon S3 bucket. To allow Amazon Personalize to export the training data, you must specify an service-linked IAM role that gives Amazon Personalize <code>PutObject</code> permissions for your Amazon S3 bucket. For information, see <a href=\"https://docs.aws.amazon.com/personalize/latest/dg/export-data.html\">Exporting a dataset</a> in the Amazon Personalize developer guide. </p> <p> <b>Status</b> </p> <p>A dataset export job can be in one of the following states:</p> <ul> <li> <p>CREATE PENDING &gt; CREATE IN_PROGRESS &gt; ACTIVE -or- CREATE FAILED</p> </li> </ul> <p> To get the status of the export job, call <a>DescribeDatasetExportJob</a>, and specify the Amazon Resource Name (ARN) of the dataset export job. The dataset export is complete when the status shows as ACTIVE. If the status shows as CREATE FAILED, the response includes a <code>failureReason</code> key, which describes why the job failed. </p>",
       "idempotent":true
     },
     "CreateDatasetGroup":{
@@ -97,7 +97,7 @@
         {"shape":"ResourceAlreadyExistsException"},
         {"shape":"LimitExceededException"}
       ],
-      "documentation":"<p>Creates an empty dataset group. A dataset group contains related datasets that supply data for training a model. A dataset group can contain at most three datasets, one for each type of dataset:</p> <ul> <li> <p>Interactions</p> </li> <li> <p>Items</p> </li> <li> <p>Users</p> </li> </ul> <p>To train a model (create a solution), a dataset group that contains an <code>Interactions</code> dataset is required. Call <a>CreateDataset</a> to add a dataset to the group.</p> <p>A dataset group can be in one of the following states:</p> <ul> <li> <p>CREATE PENDING &gt; CREATE IN_PROGRESS &gt; ACTIVE -or- CREATE FAILED</p> </li> <li> <p>DELETE PENDING</p> </li> </ul> <p>To get the status of the dataset group, call <a>DescribeDatasetGroup</a>. If the status shows as CREATE FAILED, the response includes a <code>failureReason</code> key, which describes why the creation failed.</p> <note> <p>You must wait until the <code>status</code> of the dataset group is <code>ACTIVE</code> before adding a dataset to the group.</p> </note> <p>You can specify an AWS Key Management Service (KMS) key to encrypt the datasets in the group. If you specify a KMS key, you must also include an AWS Identity and Access Management (IAM) role that has permission to access the key.</p> <p class=\"title\"> <b>APIs that require a dataset group ARN in the request</b> </p> <ul> <li> <p> <a>CreateDataset</a> </p> </li> <li> <p> <a>CreateEventTracker</a> </p> </li> <li> <p> <a>CreateSolution</a> </p> </li> </ul> <p class=\"title\"> <b>Related APIs</b> </p> <ul> <li> <p> <a>ListDatasetGroups</a> </p> </li> <li> <p> <a>DescribeDatasetGroup</a> </p> </li> <li> <p> <a>DeleteDatasetGroup</a> </p> </li> </ul>"
+      "documentation":"<p>Creates an empty dataset group. A dataset group contains related datasets that supply data for training a model. A dataset group can contain at most three datasets, one for each type of dataset:</p> <ul> <li> <p>Interactions</p> </li> <li> <p>Items</p> </li> <li> <p>Users</p> </li> </ul> <p>To train a model (create a solution), a dataset group that contains an <code>Interactions</code> dataset is required. Call <a>CreateDataset</a> to add a dataset to the group.</p> <p>A dataset group can be in one of the following states:</p> <ul> <li> <p>CREATE PENDING &gt; CREATE IN_PROGRESS &gt; ACTIVE -or- CREATE FAILED</p> </li> <li> <p>DELETE PENDING</p> </li> </ul> <p>To get the status of the dataset group, call <a>DescribeDatasetGroup</a>. If the status shows as CREATE FAILED, the response includes a <code>failureReason</code> key, which describes why the creation failed.</p> <note> <p>You must wait until the <code>status</code> of the dataset group is <code>ACTIVE</code> before adding a dataset to the group.</p> </note> <p>You can specify an Key Management Service (KMS) key to encrypt the datasets in the group. If you specify a KMS key, you must also include an Identity and Access Management (IAM) role that has permission to access the key.</p> <p class=\"title\"> <b>APIs that require a dataset group ARN in the request</b> </p> <ul> <li> <p> <a>CreateDataset</a> </p> </li> <li> <p> <a>CreateEventTracker</a> </p> </li> <li> <p> <a>CreateSolution</a> </p> </li> </ul> <p class=\"title\"> <b>Related APIs</b> </p> <ul> <li> <p> <a>ListDatasetGroups</a> </p> </li> <li> <p> <a>DescribeDatasetGroup</a> </p> </li> <li> <p> <a>DeleteDatasetGroup</a> </p> </li> </ul>"
     },
     "CreateDatasetImportJob":{
       "name":"CreateDatasetImportJob",
@@ -114,7 +114,7 @@
         {"shape":"LimitExceededException"},
         {"shape":"ResourceInUseException"}
       ],
-      "documentation":"<p>Creates a job that imports training data from your data source (an Amazon S3 bucket) to an Amazon Personalize dataset. To allow Amazon Personalize to import the training data, you must specify an AWS Identity and Access Management (IAM) service role that has permission to read from the data source, as Amazon Personalize makes a copy of your data and processes it in an internal AWS system. For information on granting access to your Amazon S3 bucket, see <a href=\"https://docs.aws.amazon.com/personalize/latest/dg/granting-personalize-s3-access.html\">Giving Amazon Personalize Access to Amazon S3 Resources</a>. </p> <important> <p>The dataset import job replaces any existing data in the dataset that you imported in bulk.</p> </important> <p> <b>Status</b> </p> <p>A dataset import job can be in one of the following states:</p> <ul> <li> <p>CREATE PENDING &gt; CREATE IN_PROGRESS &gt; ACTIVE -or- CREATE FAILED</p> </li> </ul> <p>To get the status of the import job, call <a>DescribeDatasetImportJob</a>, providing the Amazon Resource Name (ARN) of the dataset import job. The dataset import is complete when the status shows as ACTIVE. If the status shows as CREATE FAILED, the response includes a <code>failureReason</code> key, which describes why the job failed.</p> <note> <p>Importing takes time. You must wait until the status shows as ACTIVE before training a model using the dataset.</p> </note> <p class=\"title\"> <b>Related APIs</b> </p> <ul> <li> <p> <a>ListDatasetImportJobs</a> </p> </li> <li> <p> <a>DescribeDatasetImportJob</a> </p> </li> </ul>"
+      "documentation":"<p>Creates a job that imports training data from your data source (an Amazon S3 bucket) to an Amazon Personalize dataset. To allow Amazon Personalize to import the training data, you must specify an IAM service role that has permission to read from the data source, as Amazon Personalize makes a copy of your data and processes it internally. For information on granting access to your Amazon S3 bucket, see <a href=\"https://docs.aws.amazon.com/personalize/latest/dg/granting-personalize-s3-access.html\">Giving Amazon Personalize Access to Amazon S3 Resources</a>. </p> <important> <p>The dataset import job replaces any existing data in the dataset that you imported in bulk.</p> </important> <p> <b>Status</b> </p> <p>A dataset import job can be in one of the following states:</p> <ul> <li> <p>CREATE PENDING &gt; CREATE IN_PROGRESS &gt; ACTIVE -or- CREATE FAILED</p> </li> </ul> <p>To get the status of the import job, call <a>DescribeDatasetImportJob</a>, providing the Amazon Resource Name (ARN) of the dataset import job. The dataset import is complete when the status shows as ACTIVE. If the status shows as CREATE FAILED, the response includes a <code>failureReason</code> key, which describes why the job failed.</p> <note> <p>Importing takes time. You must wait until the status shows as ACTIVE before training a model using the dataset.</p> </note> <p class=\"title\"> <b>Related APIs</b> </p> <ul> <li> <p> <a>ListDatasetImportJobs</a> </p> </li> <li> <p> <a>DescribeDatasetImportJob</a> </p> </li> </ul>"
     },
     "CreateEventTracker":{
       "name":"CreateEventTracker",
@@ -1207,8 +1207,7 @@
       "type":"structure",
       "required":[
         "name",
-        "solutionVersionArn",
-        "minProvisionedTPS"
+        "solutionVersionArn"
       ],
       "members":{
         "name":{
@@ -1261,7 +1260,7 @@
         },
         "roleArn":{
           "shape":"RoleArn",
-          "documentation":"<p>The Amazon Resource Name (ARN) of the AWS Identity and Access Management service role that has permissions to add data to your output Amazon S3 bucket.</p>"
+          "documentation":"<p>The Amazon Resource Name (ARN) of the IAM service role that has permissions to add data to your output Amazon S3 bucket.</p>"
         },
         "jobOutput":{
           "shape":"DatasetExportJobOutput",
@@ -1288,11 +1287,11 @@
         },
         "roleArn":{
           "shape":"RoleArn",
-          "documentation":"<p>The ARN of the IAM role that has permissions to access the KMS key. Supplying an IAM role is only valid when also specifying a KMS key.</p>"
+          "documentation":"<p>The ARN of the Identity and Access Management (IAM) role that has permissions to access the Key Management Service (KMS) key. Supplying an IAM role is only valid when also specifying a KMS key.</p>"
         },
         "kmsKeyArn":{
           "shape":"KmsKeyArn",
-          "documentation":"<p>The Amazon Resource Name (ARN) of a KMS key used to encrypt the datasets.</p>"
+          "documentation":"<p>The Amazon Resource Name (ARN) of a Key Management Service (KMS) key used to encrypt the datasets.</p>"
         }
       }
     },
@@ -1602,7 +1601,7 @@
         },
         "roleArn":{
           "shape":"Arn",
-          "documentation":"<p>The Amazon Resource Name (ARN) of the AWS Identity and Access Management service role that has permissions to add data to your output Amazon S3 bucket.</p>"
+          "documentation":"<p>The Amazon Resource Name (ARN) of the IAM service role that has permissions to add data to your output Amazon S3 bucket.</p>"
         },
         "status":{
           "shape":"Status",
@@ -1691,7 +1690,7 @@
         },
         "kmsKeyArn":{
           "shape":"KmsKeyArn",
-          "documentation":"<p>The Amazon Resource Name (ARN) of the KMS key used to encrypt the datasets.</p>"
+          "documentation":"<p>The Amazon Resource Name (ARN) of the Key Management Service (KMS) key used to encrypt the datasets.</p>"
         },
         "creationDateTime":{
           "shape":"Date",
@@ -1706,7 +1705,7 @@
           "documentation":"<p>If creating a dataset group fails, provides the reason why.</p>"
         }
       },
-      "documentation":"<p>A dataset group is a collection of related datasets (Interactions, User, and Item). You create a dataset group by calling <a>CreateDatasetGroup</a>. You then create a dataset and add it to a dataset group by calling <a>CreateDataset</a>. The dataset group is used to create and train a solution by calling <a>CreateSolution</a>. A dataset group can contain only one of each type of dataset.</p> <p>You can specify an AWS Key Management Service (KMS) key to encrypt the datasets in the group.</p>"
+      "documentation":"<p>A dataset group is a collection of related datasets (Interactions, User, and Item). You create a dataset group by calling <a>CreateDatasetGroup</a>. You then create a dataset and add it to a dataset group by calling <a>CreateDataset</a>. The dataset group is used to create and train a solution by calling <a>CreateSolution</a>. A dataset group can contain only one of each type of dataset.</p> <p>You can specify an Key Management Service (KMS) key to encrypt the datasets in the group.</p>"
     },
     "DatasetGroupSummary":{
       "type":"structure",
@@ -1764,7 +1763,7 @@
         },
         "roleArn":{
           "shape":"Arn",
-          "documentation":"<p>The ARN of the AWS Identity and Access Management (IAM) role that has permissions to read from the Amazon S3 data source.</p>"
+          "documentation":"<p>The ARN of the IAM role that has permissions to read from the Amazon S3 data source.</p>"
         },
         "status":{
           "shape":"Status",
@@ -2358,7 +2357,7 @@
         },
         "accountId":{
           "shape":"AccountId",
-          "documentation":"<p>The Amazon AWS account that owns the event tracker.</p>"
+          "documentation":"<p>The Amazon Web Services account that owns the event tracker.</p>"
         },
         "trackingId":{
           "shape":"TrackingId",
@@ -3267,7 +3266,7 @@
         },
         "kmsKeyArn":{
           "shape":"KmsKeyArn",
-          "documentation":"<p>The Amazon Resource Name (ARN) of the Amazon Key Management Service (KMS) key that Amazon Personalize uses to encrypt or decrypt the input and output files of a batch inference job.</p>"
+          "documentation":"<p>The Amazon Resource Name (ARN) of the Key Management Service (KMS) key that Amazon Personalize uses to encrypt or decrypt the input and output files of a batch inference job.</p>"
         }
       },
       "documentation":"<p>The configuration details of an Amazon S3 input or output bucket.</p>"