4.1.376

aws · Jul 21, 2023 · 2a1d3e7 · 2a1d3e7
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diff --git a/Include/sdk/_sdk-versions.json b/Include/sdk/_sdk-versions.json
diff --git a/changelogs/CHANGELOG.2023.md b/changelogs/CHANGELOG.2023.md
@@ -1,4 +1,9 @@
-### 4.1.375 (2023-07-20 21:44Z)
+### 4.1.376 (2023-07-21 21:41Z)
+  * AWS Tools for PowerShell now use AWS .NET SDK 3.7.604.0 and leverage its new features and improvements. Please find a description of the changes at https://github.com/aws/aws-sdk-net/blob/master/changelogs/SDK.CHANGELOG.ALL.md.
+  * Amazon Relational Database Service
+    * Modified cmdlet New-RDSDBInstance: added parameter DBSystemId.
+
+### 4.1.375 (2023-07-20 21:44Z)
   * AWS Tools for PowerShell now use AWS .NET SDK 3.7.603.0 and leverage its new features and improvements. Please find a description of the changes at https://github.com/aws/aws-sdk-net/blob/master/changelogs/SDK.CHANGELOG.ALL.md.
   * Amazon CodeCatalyst
     * Added cmdlet Get-CCATSourceRepository leveraging the GetSourceRepository service API.

diff --git a/changelogs/CHANGELOG.ALL.md b/changelogs/CHANGELOG.ALL.md
@@ -1,4 +1,9 @@
-### 4.1.375 (2023-07-20 21:44Z)
+### 4.1.376 (2023-07-21 21:41Z)
+  * AWS Tools for PowerShell now use AWS .NET SDK 3.7.604.0 and leverage its new features and improvements. Please find a description of the changes at https://github.com/aws/aws-sdk-net/blob/master/changelogs/SDK.CHANGELOG.ALL.md.
+  * Amazon Relational Database Service
+    * Modified cmdlet New-RDSDBInstance: added parameter DBSystemId.
+
+### 4.1.375 (2023-07-20 21:44Z)
   * AWS Tools for PowerShell now use AWS .NET SDK 3.7.603.0 and leverage its new features and improvements. Please find a description of the changes at https://github.com/aws/aws-sdk-net/blob/master/changelogs/SDK.CHANGELOG.ALL.md.
   * Amazon CodeCatalyst
     * Added cmdlet Get-CCATSourceRepository leveraging the GetSourceRepository service API.

diff --git a/modules/AWSPowerShell/Cmdlets/Glue/Basic/New-GLUEJob-Cmdlet.cs b/modules/AWSPowerShell/Cmdlets/Glue/Basic/New-GLUEJob-Cmdlet.cs
@@ -389,16 +389,30 @@ public partial class NewGLUEJobCmdlet : AmazonGlueClientCmdlet, IExecutor
         /// <summary>
         /// <para>
         /// <para>The type of predefined worker that is allocated when a job runs. Accepts a value of
-        /// Standard, G.1X, G.2X, or G.025X for Spark jobs. Accepts the value Z.2X for Ray jobs.</para><ul><li><para>For the <code>Standard</code> worker type, each worker provides 4 vCPU, 16 GB of memory
-        /// and a 50GB disk, and 2 executors per worker.</para></li><li><para>For the <code>G.1X</code> worker type, each worker maps to 1 DPU (4 vCPU, 16 GB of
-        /// memory, 64 GB disk), and provides 1 executor per worker. We recommend this worker
-        /// type for memory-intensive jobs.</para></li><li><para>For the <code>G.2X</code> worker type, each worker maps to 2 DPU (8 vCPU, 32 GB of
-        /// memory, 128 GB disk), and provides 1 executor per worker. We recommend this worker
-        /// type for memory-intensive jobs.</para></li><li><para>For the <code>G.025X</code> worker type, each worker maps to 0.25 DPU (2 vCPU, 4 GB
-        /// of memory, 64 GB disk), and provides 1 executor per worker. We recommend this worker
-        /// type for low volume streaming jobs. This worker type is only available for Glue version
-        /// 3.0 streaming jobs.</para></li><li><para>For the <code>Z.2X</code> worker type, each worker maps to 2 M-DPU (8vCPU, 64 GB of
-        /// m emory, 128 GB disk), and provides up to 8 Ray workers based on the autoscaler.</para></li></ul>
+        /// G.1X, G.2X, G.4X, G.8X or G.025X for Spark jobs. Accepts the value Z.2X for Ray jobs.</para><ul><li><para>For the <code>G.1X</code> worker type, each worker maps to 1 DPU (4 vCPUs, 16 GB of
+        /// memory) with 84GB disk (approximately 34GB free), and provides 1 executor per worker.
+        /// We recommend this worker type for workloads such as data transforms, joins, and queries,
+        /// to offers a scalable and cost effective way to run most jobs.</para></li><li><para>For the <code>G.2X</code> worker type, each worker maps to 2 DPU (8 vCPUs, 32 GB of
+        /// memory) with 128GB disk (approximately 77GB free), and provides 1 executor per worker.
+        /// We recommend this worker type for workloads such as data transforms, joins, and queries,
+        /// to offers a scalable and cost effective way to run most jobs.</para></li><li><para>For the <code>G.4X</code> worker type, each worker maps to 4 DPU (16 vCPUs, 64 GB
+        /// of memory) with 256GB disk (approximately 235GB free), and provides 1 executor per
+        /// worker. We recommend this worker type for jobs whose workloads contain your most demanding
+        /// transforms, aggregations, joins, and queries. This worker type is available only for
+        /// Glue version 3.0 or later Spark ETL jobs in the following Amazon Web Services Regions:
+        /// US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Singapore),
+        /// Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt),
+        /// Europe (Ireland), and Europe (Stockholm).</para></li><li><para>For the <code>G.8X</code> worker type, each worker maps to 8 DPU (32 vCPUs, 128 GB
+        /// of memory) with 512GB disk (approximately 487GB free), and provides 1 executor per
+        /// worker. We recommend this worker type for jobs whose workloads contain your most demanding
+        /// transforms, aggregations, joins, and queries. This worker type is available only for
+        /// Glue version 3.0 or later Spark ETL jobs, in the same Amazon Web Services Regions
+        /// as supported for the <code>G.4X</code> worker type.</para></li><li><para>For the <code>G.025X</code> worker type, each worker maps to 0.25 DPU (2 vCPUs, 4
+        /// GB of memory) with 84GB disk (approximately 34GB free), and provides 1 executor per
+        /// worker. We recommend this worker type for low volume streaming jobs. This worker type
+        /// is only available for Glue version 3.0 streaming jobs.</para></li><li><para>For the <code>Z.2X</code> worker type, each worker maps to 2 M-DPU (8vCPUs, 64 GB
+        /// of memory) with 128 GB disk (approximately 120GB free), and provides up to 8 Ray workers
+        /// based on the autoscaler.</para></li></ul>
         /// </para>
         /// </summary>
         [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]

diff --git a/modules/AWSPowerShell/Cmdlets/Glue/Basic/New-GLUESession-Cmdlet.cs b/modules/AWSPowerShell/Cmdlets/Glue/Basic/New-GLUESession-Cmdlet.cs
@@ -219,16 +219,28 @@ public partial class NewGLUESessionCmdlet : AmazonGlueClientCmdlet, IExecutor
         #region Parameter WorkerType
         /// <summary>
         /// <para>
-        /// <para>The type of predefined worker that is allocated to use for the session. Accepts a
-        /// value of Standard, G.1X, G.2X, or G.025X.</para><ul><li><para>For the <code>Standard</code> worker type, each worker provides 4 vCPU, 16 GB of memory
-        /// and a 50GB disk, and 2 executors per worker.</para></li><li><para>For the <code>G.1X</code> worker type, each worker maps to 1 DPU (4 vCPU, 16 GB of
-        /// memory, 64 GB disk), and provides 1 executor per worker. We recommend this worker
-        /// type for memory-intensive jobs.</para></li><li><para>For the <code>G.2X</code> worker type, each worker maps to 2 DPU (8 vCPU, 32 GB of
-        /// memory, 128 GB disk), and provides 1 executor per worker. We recommend this worker
-        /// type for memory-intensive jobs.</para></li><li><para>For the <code>G.025X</code> worker type, each worker maps to 0.25 DPU (2 vCPU, 4 GB
-        /// of memory, 64 GB disk), and provides 1 executor per worker. We recommend this worker
-        /// type for low volume streaming jobs. This worker type is only available for Glue version
-        /// 3.0 streaming jobs.</para></li></ul>
+        /// <para>The type of predefined worker that is allocated when a job runs. Accepts a value of
+        /// G.1X, G.2X, G.4X, or G.8X for Spark jobs. Accepts the value Z.2X for Ray notebooks.</para><ul><li><para>For the <code>G.1X</code> worker type, each worker maps to 1 DPU (4 vCPUs, 16 GB of
+        /// memory) with 84GB disk (approximately 34GB free), and provides 1 executor per worker.
+        /// We recommend this worker type for workloads such as data transforms, joins, and queries,
+        /// to offers a scalable and cost effective way to run most jobs.</para></li><li><para>For the <code>G.2X</code> worker type, each worker maps to 2 DPU (8 vCPUs, 32 GB of
+        /// memory) with 128GB disk (approximately 77GB free), and provides 1 executor per worker.
+        /// We recommend this worker type for workloads such as data transforms, joins, and queries,
+        /// to offers a scalable and cost effective way to run most jobs.</para></li><li><para>For the <code>G.4X</code> worker type, each worker maps to 4 DPU (16 vCPUs, 64 GB
+        /// of memory) with 256GB disk (approximately 235GB free), and provides 1 executor per
+        /// worker. We recommend this worker type for jobs whose workloads contain your most demanding
+        /// transforms, aggregations, joins, and queries. This worker type is available only for
+        /// Glue version 3.0 or later Spark ETL jobs in the following Amazon Web Services Regions:
+        /// US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Singapore),
+        /// Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt),
+        /// Europe (Ireland), and Europe (Stockholm).</para></li><li><para>For the <code>G.8X</code> worker type, each worker maps to 8 DPU (32 vCPUs, 128 GB
+        /// of memory) with 512GB disk (approximately 487GB free), and provides 1 executor per
+        /// worker. We recommend this worker type for jobs whose workloads contain your most demanding
+        /// transforms, aggregations, joins, and queries. This worker type is available only for
+        /// Glue version 3.0 or later Spark ETL jobs, in the same Amazon Web Services Regions
+        /// as supported for the <code>G.4X</code> worker type.</para></li><li><para>For the <code>Z.2X</code> worker type, each worker maps to 2 M-DPU (8vCPUs, 64 GB
+        /// of memory) with 128 GB disk (approximately 120GB free), and provides up to 8 Ray workers
+        /// based on the autoscaler.</para></li></ul>
         /// </para>
         /// </summary>
         [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]

diff --git a/modules/AWSPowerShell/Cmdlets/Glue/Basic/Start-GLUEJobRun-Cmdlet.cs b/modules/AWSPowerShell/Cmdlets/Glue/Basic/Start-GLUEJobRun-Cmdlet.cs
@@ -175,17 +175,30 @@ public partial class StartGLUEJobRunCmdlet : AmazonGlueClientCmdlet, IExecutor
         /// <summary>
         /// <para>
         /// <para>The type of predefined worker that is allocated when a job runs. Accepts a value of
-        /// Standard, G.1X, G.2X, or G.025X for Spark jobs. Accepts the value Z.2X for Ray jobs.</para><ul><li><para>For the <code>Standard</code> worker type, each worker provides 4 vCPU, 16 GB of memory
-        /// and a 50GB disk, and 2 executors per worker.</para></li><li><para>For the <code>G.1X</code> worker type, each worker maps to 1 DPU (4 vCPU, 16 GB of
-        /// memory, 64 GB disk), and provides 1 executor per worker. We recommend this worker
-        /// type for memory-intensive jobs.</para></li><li><para>For the <code>G.2X</code> worker type, each worker maps to 2 DPU (8 vCPU, 32 GB of
-        /// memory, 128 GB disk), and provides 1 executor per worker. We recommend this worker
-        /// type for memory-intensive jobs.</para></li><li><para>For the <code>G.025X</code> worker type, each worker maps to 0.25 DPU (2 vCPU, 4 GB
-        /// of memory, 64 GB disk), and provides 1 executor per worker. We recommend this worker
-        /// type for low volume streaming jobs. This worker type is only available for Glue version
-        /// 3.0 streaming jobs.</para></li><li><para>For the <code>Z.2X</code> worker type, each worker maps to 2 DPU (8vCPU, 64 GB of
-        /// m emory, 128 GB disk), and provides up to 8 Ray workers (one per vCPU) based on the
-        /// autoscaler.</para></li></ul>
+        /// G.1X, G.2X, G.4X, G.8X or G.025X for Spark jobs. Accepts the value Z.2X for Ray jobs.</para><ul><li><para>For the <code>G.1X</code> worker type, each worker maps to 1 DPU (4 vCPUs, 16 GB of
+        /// memory) with 84GB disk (approximately 34GB free), and provides 1 executor per worker.
+        /// We recommend this worker type for workloads such as data transforms, joins, and queries,
+        /// to offers a scalable and cost effective way to run most jobs.</para></li><li><para>For the <code>G.2X</code> worker type, each worker maps to 2 DPU (8 vCPUs, 32 GB of
+        /// memory) with 128GB disk (approximately 77GB free), and provides 1 executor per worker.
+        /// We recommend this worker type for workloads such as data transforms, joins, and queries,
+        /// to offers a scalable and cost effective way to run most jobs.</para></li><li><para>For the <code>G.4X</code> worker type, each worker maps to 4 DPU (16 vCPUs, 64 GB
+        /// of memory) with 256GB disk (approximately 235GB free), and provides 1 executor per
+        /// worker. We recommend this worker type for jobs whose workloads contain your most demanding
+        /// transforms, aggregations, joins, and queries. This worker type is available only for
+        /// Glue version 3.0 or later Spark ETL jobs in the following Amazon Web Services Regions:
+        /// US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Singapore),
+        /// Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt),
+        /// Europe (Ireland), and Europe (Stockholm).</para></li><li><para>For the <code>G.8X</code> worker type, each worker maps to 8 DPU (32 vCPUs, 128 GB
+        /// of memory) with 512GB disk (approximately 487GB free), and provides 1 executor per
+        /// worker. We recommend this worker type for jobs whose workloads contain your most demanding
+        /// transforms, aggregations, joins, and queries. This worker type is available only for
+        /// Glue version 3.0 or later Spark ETL jobs, in the same Amazon Web Services Regions
+        /// as supported for the <code>G.4X</code> worker type.</para></li><li><para>For the <code>G.025X</code> worker type, each worker maps to 0.25 DPU (2 vCPUs, 4
+        /// GB of memory) with 84GB disk (approximately 34GB free), and provides 1 executor per
+        /// worker. We recommend this worker type for low volume streaming jobs. This worker type
+        /// is only available for Glue version 3.0 streaming jobs.</para></li><li><para>For the <code>Z.2X</code> worker type, each worker maps to 2 M-DPU (8vCPUs, 64 GB
+        /// of memory) with 128 GB disk (approximately 120GB free), and provides up to 8 Ray workers
+        /// based on the autoscaler.</para></li></ul>
         /// </para>
         /// </summary>
         [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]

diff --git a/modules/AWSPowerShell/Cmdlets/RDS/Basic/Get-RDSBlueGreenDeployment-Cmdlet.cs b/modules/AWSPowerShell/Cmdlets/RDS/Basic/Get-RDSBlueGreenDeployment-Cmdlet.cs
@@ -28,7 +28,7 @@
 namespace Amazon.PowerShell.Cmdlets.RDS
 {
     /// <summary>
-    /// Returns information about blue/green deployments.
+    /// Describes one or more blue/green deployments.
     /// 
     ///  
     /// <para>
@@ -52,8 +52,9 @@ public partial class GetRDSBlueGreenDeploymentCmdlet : AmazonRDSClientCmdlet, IE
         #region Parameter BlueGreenDeploymentIdentifier
         /// <summary>
         /// <para>
-        /// <para>The blue/green deployment identifier. If this parameter is specified, information
-        /// from only the specific blue/green deployment is returned. This parameter isn't case-sensitive.</para><para>Constraints:</para><ul><li><para>If supplied, must match an existing blue/green deployment identifier.</para></li></ul>
+        /// <para>The blue/green deployment identifier. If you specify this parameter, the response
+        /// only includes information about the specific blue/green deployment. This parameter
+        /// isn't case-sensitive.</para><para>Constraints:</para><ul><li><para>Must match an existing blue/green deployment identifier.</para></li></ul>
         /// </para>
         /// </summary>
         [System.Management.Automation.Parameter(Position = 0, ValueFromPipelineByPropertyName = true, ValueFromPipeline = true)]
@@ -63,7 +64,7 @@ public partial class GetRDSBlueGreenDeploymentCmdlet : AmazonRDSClientCmdlet, IE
         #region Parameter Filter
         /// <summary>
         /// <para>
-        /// <para>A filter that specifies one or more blue/green deployments to describe.</para><para>Supported filters:</para><ul><li><para><code>blue-green-deployment-identifier</code> - Accepts system-generated identifiers
+        /// <para>A filter that specifies one or more blue/green deployments to describe.</para><para>Valid Values:</para><ul><li><para><code>blue-green-deployment-identifier</code> - Accepts system-generated identifiers
         /// for blue/green deployments. The results list only includes information about the blue/green
         /// deployments with the specified identifiers.</para></li><li><para><code>blue-green-deployment-name</code> - Accepts user-supplied names for blue/green
         /// deployments. The results list only includes information about the blue/green deployments
@@ -83,7 +84,7 @@ public partial class GetRDSBlueGreenDeploymentCmdlet : AmazonRDSClientCmdlet, IE
         /// <summary>
         /// <para>
         /// <para>An optional pagination token provided by a previous <code>DescribeBlueGreenDeployments</code>
-        /// request. If this parameter is specified, the response includes only records beyond
+        /// request. If you specify this parameter, the response only includes records beyond
         /// the marker, up to the value specified by <code>MaxRecords</code>.</para>
         /// </para>
         /// <para>
@@ -101,7 +102,7 @@ public partial class GetRDSBlueGreenDeploymentCmdlet : AmazonRDSClientCmdlet, IE
         /// <para>
         /// <para>The maximum number of records to include in the response. If more records exist than
         /// the specified <code>MaxRecords</code> value, a pagination token called a marker is
-        /// included in the response so you can retrieve the remaining results.</para><para>Default: 100</para><para>Constraints: Minimum 20, maximum 100.</para>
+        /// included in the response so you can retrieve the remaining results.</para><para>Default: 100</para><para>Constraints:</para><ul><li><para>Must be a minimum of 20.</para></li><li><para>Can't exceed 100.</para></li></ul>
         /// </para>
         /// </summary>
         [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]