20240308 End of Support updates for Synapse Spark

Co-authored-by: jeacla <[email protected]>

Author: WilliamDAssafMSFT

articles/synapse-analytics/machine-learning/concept-deep-learning.md

@@ -14,9 +14,9 @@ ms.author: midesa
 Apache Spark in Azure Synapse Analytics enables machine learning with big data, providing the ability to obtain valuable insight from large amounts of structured, unstructured, and fast-moving data. There are several options when training machine learning models using Azure Spark in Azure Synapse Analytics: Apache Spark MLlib, Azure Machine Learning, and various other open-source libraries.
 
 > [!WARNING]
-> - The GPU accelerated preview is limited to the [Azure Synapse 3.1 (unsupported)](../spark/apache-spark-3-runtime.md) and [Apache Spark 3.2 (EOLA)](../spark/apache-spark-32-runtime.md) runtimes.
-> - Azure Synapse Runtime for Apache Spark 3.1 has reached its end of life (EOL) as of January 26, 2023, with official support discontinued effective January 26, 2024, and no further addressing of support tickets, bug fixes, or security updates beyond this date.
-> - Azure Synapse Runtime for Apache Spark 3.2 has reached its end of life (EOL) as of July 8, 2023, with no further bug or feature fixes, but security fixes may be backported based on risk assessment, and it will be retired and disabled as of July 8, 2024.
+> - The GPU accelerated preview is limited to the [Azure Synapse 3.1 (unsupported)](../spark/apache-spark-3-runtime.md) and [Apache Spark 3.2 (End of Support announced)](../spark/apache-spark-32-runtime.md) runtimes.
+> - Azure Synapse Runtime for Apache Spark 3.1 has reached its end of support as of January 26, 2023, with official support discontinued effective January 26, 2024, and no further addressing of support tickets, bug fixes, or security updates beyond this date.
+> - Azure Synapse Runtime for Apache Spark 3.2 has reached its end of support as of July 8, 2023, with no further bug or feature fixes, but security fixes may be backported based on risk assessment, and it will be retired and disabled as of July 8, 2024.
 
 ## GPU-enabled Apache Spark pools
 

articles/synapse-analytics/machine-learning/tutorial-horovod-pytorch.md

@@ -21,9 +21,9 @@ Within Azure Synapse Analytics, users can quickly get started with Horovod using
 - Create a GPU-enabled Apache Spark pool in your Azure Synapse Analytics workspace. For details, see [Create a GPU-enabled Apache Spark pool in Azure Synapse](../spark/apache-spark-gpu-concept.md). For this tutorial, we suggest using the GPU-Large cluster size with 3 nodes.
 
 > [!WARNING]
-> - The GPU accelerated preview is limited to the [Azure Synapse 3.1 (unsupported)](../spark/apache-spark-3-runtime.md) and [Apache Spark 3.2 (EOLA)](../spark/apache-spark-32-runtime.md) runtimes.
-> - Azure Synapse Runtime for Apache Spark 3.1 has reached its end of life (EOL) as of January 26, 2023, with official support discontinued effective January 26, 2024, and no further addressing of support tickets, bug fixes, or security updates beyond this date.
-> - End of life announced (EOLA) for Azure Synapse Runtime for Apache Spark 3.2 has been announced July 8, 2023. End of life announced (EOLA) runtimes will not have bug and feature fixes. Security fixes will be backported based on risk assessment. This runtime will be retired and disabled as of July 8, 2024.
+> - The GPU accelerated preview is limited to the [Azure Synapse 3.1 (unsupported)](../spark/apache-spark-3-runtime.md) and [Apache Spark 3.2 (End of Support announced)](../spark/apache-spark-32-runtime.md) runtimes.
+> - Azure Synapse Runtime for Apache Spark 3.1 has reached its end of support as of January 26, 2023, with official support discontinued effective January 26, 2024, and no further addressing of support tickets, bug fixes, or security updates beyond this date.
+> - End of support announced for Azure Synapse Runtime for Apache Spark 3.2 has been announced July 8, 2023. End of support announced runtimes will not have bug and feature fixes. Security fixes will be backported based on risk assessment. This runtime will be retired and disabled as of July 8, 2024.
 
 
 ## Configure the Apache Spark session

articles/synapse-analytics/machine-learning/tutorial-horovod-tensorflow.md

@@ -21,9 +21,9 @@ Within Azure Synapse Analytics, users can quickly get started with Horovod using
 - Create a GPU-enabled Apache Spark pool in your Azure Synapse Analytics workspace. For details, see [Create a GPU-enabled Apache Spark pool in Azure Synapse](../spark/apache-spark-gpu-concept.md). For this tutorial, we suggest using the GPU-Large cluster size with 3 nodes.
 
 > [!WARNING]
-> - The GPU accelerated preview is limited to the [Azure Synapse 3.1 (unsupported)](../spark/apache-spark-3-runtime.md) and [Apache Spark 3.2 (EOLA)](../spark/apache-spark-32-runtime.md) runtimes.
-> - Azure Synapse Runtime for Apache Spark 3.1 has reached its end of life (EOL) as of January 26, 2023, with official support discontinued effective January 26, 2024, and no further addressing of support tickets, bug fixes, or security updates beyond this date.
-> - End of life announced (EOLA) for Azure Synapse Runtime for Apache Spark 3.2 has been announced July 8, 2023. End of life announced (EOLA) runtimes will not have bug and feature fixes. Security fixes will be backported based on risk assessment. This runtime will be retired and disabled as of July 8, 2024.
+> - The GPU accelerated preview is limited to the [Azure Synapse 3.1 (unsupported)](../spark/apache-spark-3-runtime.md) and [Apache Spark 3.2 (End of Support announced)](../spark/apache-spark-32-runtime.md) runtimes.
+> - Azure Synapse Runtime for Apache Spark 3.1 has reached its end of support as of January 26, 2023, with official support discontinued effective January 26, 2024, and no further addressing of support tickets, bug fixes, or security updates beyond this date.
+> - End of support announced for Azure Synapse Runtime for Apache Spark 3.2 has been announced July 8, 2023. End of support announced runtimes will not have bug and feature fixes. Security fixes will be backported based on risk assessment. This runtime will be retired and disabled as of July 8, 2024.
 
 
 ## Configure the Apache Spark session

articles/synapse-analytics/machine-learning/tutorial-load-data-petastorm.md

@@ -21,9 +21,9 @@ For more information about Petastorm, you can visit the [Petastorm GitHub page](
 - Create a GPU-enabled Apache Spark pool in your Azure Synapse Analytics workspace. For details, see [Create a GPU-enabled Apache Spark pool in Azure Synapse](../spark/apache-spark-gpu-concept.md). For this tutorial, we suggest using the GPU-Large cluster size with 3 nodes.
 
 > [!WARNING]
-> - The GPU accelerated preview is limited to the [Azure Synapse 3.1 (unsupported)](../spark/apache-spark-3-runtime.md) and [Apache Spark 3.2 (EOLA)](../spark/apache-spark-32-runtime.md) runtimes.
-> - Azure Synapse Runtime for Apache Spark 3.1 has reached its end of life (EOL) as of January 26, 2023, with official support discontinued effective January 26, 2024, and no further addressing of support tickets, bug fixes, or security updates beyond this date.
-> - End of life announced (EOLA) for Azure Synapse Runtime for Apache Spark 3.2 has been announced July 8, 2023. End of life announced (EOLA) runtimes will not have bug and feature fixes. Security fixes will be backported based on risk assessment. This runtime will be retired and disabled as of July 8, 2024.
+> - The GPU accelerated preview is limited to the [Azure Synapse 3.1 (unsupported)](../spark/apache-spark-3-runtime.md) and [Apache Spark 3.2 (End of Support announced)](../spark/apache-spark-32-runtime.md) runtimes.
+> - Azure Synapse Runtime for Apache Spark 3.1 has reached its end of support as of January 26, 2023, with official support discontinued effective January 26, 2024, and no further addressing of support tickets, bug fixes, or security updates beyond this date.
+> - End of support announced for Azure Synapse Runtime for Apache Spark 3.2 has been announced July 8, 2023. End of support announced runtimes will not have bug and feature fixes. Security fixes will be backported based on risk assessment. This runtime will be retired and disabled as of July 8, 2024.
 
 
 ## Configure the Apache Spark session

articles/synapse-analytics/quickstart-create-apache-gpu-pool-portal.md

@@ -17,9 +17,9 @@ An Apache Spark pool provides open-source big data compute capabilities where da
 In this quickstart, you learn how to use the Azure portal to create an Apache Spark GPU-enabled pool in an Azure Synapse Analytics workspace.
 
 > [!WARNING]
-> - The GPU accelerated preview is limited to the [Azure Synapse 3.1 (unsupported)](./spark/apache-spark-3-runtime.md) and [Apache Spark 3.2 (EOLA)](./spark/apache-spark-32-runtime.md) runtimes.
-> - Azure Synapse Runtime for Apache Spark 3.1 has reached its end of life (EOL) as of January 26, 2023, with official support discontinued effective January 26, 2024, and no further addressing of support tickets, bug fixes, or security updates beyond this date.
-> - End of life announced (EOLA) for Azure Synapse Runtime for Apache Spark 3.2 has been announced July 8, 2023. End of life announced (EOLA) runtimes will not have bug and feature fixes. Security fixes will be backported based on risk assessment. This runtime will be retired and disabled as of July 8, 2024.
+> - The GPU accelerated preview is limited to the [Azure Synapse 3.1 (unsupported)](./spark/apache-spark-3-runtime.md) and [Apache Spark 3.2 (End of Support announced)](./spark/apache-spark-32-runtime.md) runtimes.
+> - Azure Synapse Runtime for Apache Spark 3.1 has reached its end of support as of January 26, 2023, with official support discontinued effective January 26, 2024, and no further addressing of support tickets, bug fixes, or security updates beyond this date.
+> - End of support announced for Azure Synapse Runtime for Apache Spark 3.2 has been announced July 8, 2023. End of support announced runtimes will not have bug and feature fixes. Security fixes will be backported based on risk assessment. This runtime will be retired and disabled as of July 8, 2024.
 
 > [!NOTE]
 > Azure Synapse GPU-enabled pools are currently in Public Preview.

articles/synapse-analytics/quickstart-create-apache-spark-pool-portal.md

@@ -42,6 +42,9 @@ Sign in to the [Azure portal](https://portal.azure.com/)
 
 ## Create new Apache Spark pool
 
+> [!IMPORTANT]
+> Azure Synapse Runtime for Apache Spark 3.1 and 3.2 have reached their end of support. 3.1 had reached its end of support on January 26, 2023, with official support discontinued effective January 26, 2024, and no further addressing of support tickets, bug fixes, or security updates beyond this date. 3.2 had reached its end of support as of July 8, 2023, with no further bug or feature fixes, but security fixes may be backported based on risk assessment, and it will be retired and disabled as of July 8, 2024.
+
 1. In the Synapse workspace where you want to create the Apache Spark pool, select **New Apache Spark pool**.
     ![Overview of Synapse workspace with a red box around the command to create a new Apache Spark pool](media/quickstart-create-apache-spark-pool/create-spark-pool-portal-01.png)
 2. Enter the following details in the **Basics** tab:

articles/synapse-analytics/quickstart-create-apache-spark-pool-studio.md

@@ -47,6 +47,8 @@ From the workspace overview, select the **Workspace web URL** to open Synapse St
 ![Azure portal Synapse workspace overview with Launch Synapse Studio highlighted.](media/quickstart-create-apache-spark-pool/create-spark-pool-studio-20.png)
 
 ## Create the Apache Spark pool in Synapse Studio
+> [!IMPORTANT]
+> Azure Synapse Runtime for Apache Spark 3.1 and 3.2 have reached their end of support. 3.1 had reached its end of support on January 26, 2023, with official support discontinued effective January 26, 2024, and no further addressing of support tickets, bug fixes, or security updates beyond this date. 3.2 had reached its end of support as of July 8, 2023, with no further bug or feature fixes, but security fixes may be backported based on risk assessment, and it will be retired and disabled as of July 8, 2024.
 
 1. On the Synapse Studio home page, navigate to the **Management Hub** in the left navigation by selecting the **Manage** icon.
 

articles/synapse-analytics/spark/apache-spark-3-runtime.md

@@ -3,6 +3,7 @@ title: Azure Synapse Runtime for Apache Spark 3.1 (unsupported)
 description: Supported versions of Spark, Scala, Python, and .NET for Apache Spark 3.1.
 author: ekote
 ms.author: eskot 
+ms.reviewer: wiassaf, sngun
 ms.service: synapse-analytics
 ms.topic: reference
 ms.subservice: spark
@@ -15,7 +16,7 @@ ms.custom: has-adal-ref, devx-track-dotnet, devx-track-extended-java, devx-track
 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 3.1.
 
 > [!IMPORTANT]
-> * End of life announced (EOLA) for Azure Synapse Runtime for Apache Spark 3.1 has been announced January 26, 2023.
+> * End of Support announced for Azure Synapse Runtime for Apache Spark 3.1 has been announced January 26, 2023.
 > * Effective January 26, 2024, the Azure Synapse has stopped official support for Spark 3.1 Runtimes.
 > * Post January 26, 2024, we will not be addressing any support tickets related to Spark 3.1. There will be no release pipeline in place for bug or security fixes for Spark 3.1. Utilizing Spark 3.1 post the support cutoff date is undertaken at one's own risk. We strongly discourage its continued use due to potential security and functionality concerns.
 > * Recognizing that certain customers may need additional time to transition to a higher runtime version, we are temporarily extending the usage option for Spark 3.1, but we will not provide any official support for it.

articles/synapse-analytics/spark/apache-spark-32-runtime.md

@@ -3,21 +3,22 @@ title: Azure Synapse Runtime for Apache Spark 3.2
 description: Supported versions of Spark, Scala, Python, and .NET for Apache Spark 3.2.
 author: ekote
 ms.author: eskot
+ms.reviewer: wiassaf, sngun
 ms.service: synapse-analytics
 ms.topic: reference
 ms.subservice: spark
 ms.date: 11/28/2022
 ms.custom: has-adal-ref, devx-track-dotnet, devx-track-extended-java, devx-track-python
 ---
 
-# Azure Synapse Runtime for Apache Spark 3.2 (EOLA)
+# Azure Synapse Runtime for Apache Spark 3.2 (End of Support announced)
 
 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 3.2.
 
 > [!IMPORTANT]
-> * End of life announced (EOLA) for Azure Synapse Runtime for Apache Spark 3.2 has been announced July 8, 2023.
-> * End of life announced (EOLA) runtime will not have bug and feature fixes. Security fixes will be backported based on risk assessment.
-> * In accordance with the Synapse runtime for Apache Spark lifecycle policy, Azure Synapse runtime for Apache Spark 3.2 will be retired and disabled as of July 8, 2024. After the EOL date, the retired runtimes are unavailable for new Spark pools and existing workflows can't execute. Metadata will temporarily remain in the Synapse workspace.
+> * End of Support announced for Azure Synapse Runtime for Apache Spark 3.2 has been announced July 8, 2023.
+> * End of Support announced runtime will not have bug and feature fixes. Security fixes will be backported based on risk assessment.
+> * In accordance with the Synapse runtime for Apache Spark lifecycle policy, Azure Synapse runtime for Apache Spark 3.2 will be retired and disabled as of July 8, 2024. After the End of Support date, the retired runtimes are unavailable for new Spark pools and existing workflows can't execute. Metadata will temporarily remain in the Synapse workspace.
 > * We recommend that you upgrade your Apache Spark 3.2 workloads to version 3.3 at your earliest convenience. 
 
 ## Component versions

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

@@ -3,6 +3,7 @@ title: Azure Synapse Runtime for Apache Spark 3.3
 description: New runtime is GA and ready for production workloads. Spark 3.3.1, Python 3.10, Delta Lake 2.2.
 author: ekote
 ms.author: eskot
+ms.reviewer: wiassaf, sngun
 ms.service: synapse-analytics
 ms.topic: reference
 ms.subservice: spark