[DataFactory]Added new features into 9.0.0

eng/mgmt/mgmtmetadata/datafactory_resource-manager.txt

@@ -3,13 +3,12 @@ AutoRest installed successfully.
 Commencing code generation
 Generating CSharp code
 Executing AutoRest command
-cmd.exe /c autorest.cmd https://github.com/Azure/azure-rest-api-specs/blob/main/specification/datafactory/resource-manager/readme.md --csharp --version=v2 --reflect-api-versions --tag=package-2018-06 --csharp-sdks-folder=D:\Projects\azure-sdk-for-net\sdk
-Autorest CSharp Version: 2.3.82
-2022-10-25 04:48:50 UTC
+cmd.exe /c autorest.cmd https://github.com/Azure/azure-rest-api-specs/blob/main/specification/datafactory/resource-manager/readme.md --csharp --version=2.0.4421 --reflect-api-versions --tag=package-2018-06 --csharp-sdks-folder=D:\Code\azure-sdk-for-net\sdk
+2023-01-12 03:56:29 UTC
 Azure-rest-api-specs repository information
 GitHub fork: Azure
 Branch:      main
-Commit:      fdd4e5c9b9225698c7f26c75c4b26be5c57e60f8
+Commit:      6e011aae8dd50b5acb4bd5e951f5b930a010bc41
 AutoRest information
-Requested version: v2
-Bootstrapper version:    autorest@3.6.1
+Requested version: 2.0.4421
+Bootstrapper version:    autorest@2.0.4413

sdk/datafactory/Microsoft.Azure.Management.DataFactory/src/CHANGELOG.md

@@ -1,5 +1,12 @@
 # Changelog for the Azure Data Factory V2 .NET SDK
 
+## Version 9.0.0
+###  Feature Additions
+### Breaking Changes
+- Added support for credential operations in DataFactory
+- Added exportsettings required in Snowflake source
+- Added scan folder and spark config support in Sparkjob activity
+
 ## Version 8.0.0
 ###  Feature Additions
 ### Breaking Changes

sdk/datafactory/Microsoft.Azure.Management.DataFactory/src/Customizations/SynapseSparkJobDefinitionActivity.cs

@@ -64,5 +64,75 @@ public partial class SynapseSparkJobDefinitionActivity : ExecutionActivity
             NumExecutors = numExecutors;
             CustomInit();
         }
+
+        /// <summary>
+        /// Initializes a new instance of the SynapseSparkJobDefinitionActivity
+        /// class.
+        /// </summary>
+        /// <param name="name">Activity name.</param>
+        /// <param name="sparkJob">Synapse spark job reference.</param>
+        /// <param name="additionalProperties">Unmatched properties from the
+        /// message are deserialized this collection</param>
+        /// <param name="description">Activity description.</param>
+        /// <param name="dependsOn">Activity depends on condition.</param>
+        /// <param name="userProperties">Activity user properties.</param>
+        /// <param name="linkedServiceName">Linked service reference.</param>
+        /// <param name="policy">Activity policy.</param>
+        /// <param name="arguments">User specified arguments to
+        /// SynapseSparkJobDefinitionActivity.</param>
+        /// <param name="file">The main file used for the job, which will
+        /// override the 'file' of the spark job definition you provide. Type:
+        /// string (or Expression with resultType string).</param>
+        /// <param name="className">The fully-qualified identifier or the main
+        /// class that is in the main definition file, which will override the
+        /// 'className' of the spark job definition you provide. Type: string
+        /// (or Expression with resultType string).</param>
+        /// <param name="files">(Deprecated. Please use pythonCodeReference and
+        /// filesV2) Additional files used for reference in the main definition
+        /// file, which will override the 'files' of the spark job definition
+        /// you provide.</param>
+        /// <param name="pythonCodeReference">Additional python code files used
+        /// for reference in the main definition file, which will override the
+        /// 'pyFiles' of the spark job definition you provide.</param>
+        /// <param name="filesV2">Additional files used for reference in the
+        /// main definition file, which will override the 'jars' and 'files' of
+        /// the spark job definition you provide.</param>
+        /// <param name="targetBigDataPool">The name of the big data pool which
+        /// will be used to execute the spark batch job, which will override
+        /// the 'targetBigDataPool' of the spark job definition you
+        /// provide.</param>
+        /// <param name="executorSize">Number of core and memory to be used for
+        /// executors allocated in the specified Spark pool for the job, which
+        /// will be used for overriding 'executorCores' and 'executorMemory' of
+        /// the spark job definition you provide. Type: string (or Expression
+        /// with resultType string).</param>
+        /// <param name="conf">Spark configuration properties, which will
+        /// override the 'conf' of the spark job definition you
+        /// provide.</param>
+        /// <param name="driverSize">Number of core and memory to be used for
+        /// driver allocated in the specified Spark pool for the job, which
+        /// will be used for overriding 'driverCores' and 'driverMemory' of the
+        /// spark job definition you provide. Type: string (or Expression with
+        /// resultType string).</param>
+        /// <param name="numExecutors">Number of executors to launch for this
+        /// job, which will override the 'numExecutors' of the spark job
+        /// definition you provide.</param>
+        public SynapseSparkJobDefinitionActivity(string name, SynapseSparkJobReference sparkJob, IDictionary<string, object> additionalProperties, string description, IList<ActivityDependency> dependsOn, IList<UserProperty> userProperties, LinkedServiceReference linkedServiceName, ActivityPolicy policy, IList<object> arguments, object file, object className = default(object), IList<object> files = default(IList<object>), IList<object> pythonCodeReference = default(IList<object>), IList<object> filesV2 = default(IList<object>), BigDataPoolParametrizationReference targetBigDataPool = default(BigDataPoolParametrizationReference), object executorSize = default(object), object conf = default(object), object driverSize = default(object), int? numExecutors = default(int?))
+            : base(name, additionalProperties, description, dependsOn, userProperties, linkedServiceName, policy)
+        {
+            SparkJob = sparkJob;
+            Arguments = arguments;
+            File = file;
+            ClassName = className;
+            Files = files;
+            PythonCodeReference = pythonCodeReference;
+            FilesV2 = filesV2;
+            TargetBigDataPool = targetBigDataPool;
+            ExecutorSize = executorSize;
+            Conf = conf;
+            DriverSize = driverSize;
+            NumExecutors = numExecutors;
+            CustomInit();
+        }
     }
 }