Merge pull request #232569 from kevinjaku/netspark33support

Updating note on support of .NET Core and Spark 3.3

Author: prmerger-automator[bot]

articles/synapse-analytics/spark/apache-spark-33-runtime.md

@@ -12,9 +12,9 @@ ms.reviewer: ekote
 ---
 
 # Azure Synapse Runtime for Apache Spark 3.3 (GA)
-Azure Synapse Analytics supports multiple runtimes for Apache Spark. This document will cover the runtime components and versions for the Azure Synapse Runtime for Apache Spark 3.3. 
+Azure Synapse Analytics supports multiple runtimes for Apache Spark. This document covers the runtime components and versions for the Azure Synapse Runtime for Apache Spark 3.3. 
 
-> [!IMPORTANT]
+> [!NOTE]
 > * Azure Synapse Runtime for Apache Spark 3.3 has been in public preview since Nov 2022. As of Feb 23, 2023, we are excited to announce that after notable improvements in performance and stability, Azure Synapse Runtime for Apache Spark 3.3 now becomes generally available and ready for production workloads.
 
 ## Component versions
@@ -30,8 +30,12 @@ Azure Synapse Analytics supports multiple runtimes for Apache Spark. This docume
 | Python | 3.10         |
 | R (Preview) | 4.2.2        |
 
->[!NOTE]
-> * The [.NET for Apache Spark](https://github.com/dotnet/spark) is an open-source project under the .NET Foundation that currently requires the .NET 3.1 library, which has reached the out-of-support status. We would like to inform users of Azure Synapse Spark of the removal of the .NET for Apache Spark library in the Azure Synapse Runtime for Apache Spark version 3.3. Users may refer to the [.NET Support Policy](https://dotnet.microsoft.com/platform/support/policy/dotnet-core) for more details on this matter. As a result, it will no longer be possible for users to utilize Apache Spark APIs via C# and F#, or execute C# code in notebooks within Synapse or through Apache Spark Job definitions in Synapse. It is important to note that this change affects only Azure Synapse Runtime for Apache Spark 3.3 and above. We will continue to support .NET for Apache Spark in all previous versions of the Azure Synapse Runtime according to [their lifecycle stages](runtime-for-apache-spark-lifecycle-and-supportability.md). However, we do not have plans to support .NET for Apache Spark in Azure Synapse Runtime for Apache Spark 3.3 and future versions. We recommend that users with existing workloads written in C# or F# migrate to Python or Scala. Users are advised to take note of this information and plan accordingly.
+>[!IMPORTANT]
+> The [.NET for Apache Spark](https://github.com/dotnet/spark) is an open-source project under the .NET Foundation that currently requires the .NET 3.1 library, which has reached the out-of-support status. We would like to inform users of Azure Synapse Spark of the removal of the .NET for Apache Spark library in the Azure Synapse Runtime for Apache Spark version 3.3. Users may refer to the [.NET Support Policy](https://dotnet.microsoft.com/platform/support/policy/dotnet-core) for more details on this matter.
+>
+> As a result, it will no longer be possible for users to utilize Apache Spark APIs via C# and F#, or execute C# code in notebooks within Synapse or through Apache Spark Job definitions in Synapse. It is important to note that this change affects only Azure Synapse Runtime for Apache Spark 3.3 and above. 
+> 
+> We will continue to support .NET for Apache Spark in all previous versions of the Azure Synapse Runtime according to [their lifecycle stages](runtime-for-apache-spark-lifecycle-and-supportability.md). However, we do not have plans to support .NET for Apache Spark in Azure Synapse Runtime for Apache Spark 3.3 and future versions. We recommend that users with existing workloads written in C# or F# migrate to Python or Scala. Users are advised to take note of this information and plan accordingly.
 
 
 ## Libraries

articles/synapse-analytics/spark/spark-dotnet.md

@@ -19,6 +19,13 @@ It provides .NET bindings for Spark, which allows you to access Spark APIs throu
 
 You can analyze data with .NET for Apache Spark through Spark batch job definitions or with interactive Azure Synapse Analytics notebooks. In this article, you learn how to use .NET for Apache Spark with Azure Synapse using both techniques.
 
+>[!IMPORTANT]
+> The [.NET for Apache Spark](https://github.com/dotnet/spark) is an open-source project under the .NET Foundation that currently requires the .NET 3.1 library, which has reached the out-of-support status. We would like to inform users of Azure Synapse Spark of the removal of the .NET for Apache Spark library in the Azure Synapse Runtime for Apache Spark version 3.3. Users may refer to the [.NET Support Policy](https://dotnet.microsoft.com/platform/support/policy/dotnet-core) for more details on this matter.
+>
+> As a result, it will no longer be possible for users to utilize Apache Spark APIs via C# and F#, or execute C# code in notebooks within Synapse or through Apache Spark Job definitions in Synapse. It is important to note that this change affects only Azure Synapse Runtime for Apache Spark 3.3 and above. 
+> 
+> We will continue to support .NET for Apache Spark in all previous versions of the Azure Synapse Runtime according to [their lifecycle stages](runtime-for-apache-spark-lifecycle-and-supportability.md). However, we do not have plans to support .NET for Apache Spark in Azure Synapse Runtime for Apache Spark 3.3 and future versions. We recommend that users with existing workloads written in C# or F# migrate to Python or Scala. Users are advised to take note of this information and plan accordingly.
+
 ## Submit batch jobs using the Spark job definition
 
 Visit the tutorial to learn how to use Azure Synapse Analytics to [create Apache Spark job definitions for Synapse Spark pools](apache-spark-job-definitions.md). If you haven't packaged your app to submit to Azure Synapse, complete the following steps.