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Update Release Notes for 1.2.1
Update Release Notes for 1.2.1
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articles/hdinsight-aks/release-notes/hdinsight-aks-release-notes.md

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@@ -3,7 +3,7 @@ title: Release notes for Azure HDInsight on AKS
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description: Latest release notes for Azure HDInsight on AKS. Get development tips and details for Trino, Flink, Spark, and more.
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ms.service: hdinsight-aks
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ms.topic: conceptual
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ms.date: 03/20/2024
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ms.date: 07/24/2024
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---
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# Azure HDInsight on AKS release notes
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## Release Information
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### Release date: March 20, 2024
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### Release date: July 30, 2024
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**This release applies to the following**
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- Cluster Pool Version: 1.1
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- Cluster Version: 1.1.1
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- Cluster Pool Version: 1.2
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- Cluster Version: 1.2
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- AKS version: 1.27
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### New Features
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**Apache Flink Application Mode Cluster**
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**MSI based SQL authentication**
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Application mode clusters are designed to support dedicated resources for large and long-running jobs. When you have resource-intensive or extensive data processing tasks, you can use the [Application Mode Cluster](https://flink.apache.org/2020/07/14/application-deployment-in-flink-current-state-and-the-new-application-mode/#application-mode). This mode allows you to allocate dedicated resources for specific Apache Flink applications, ensuring that they have the necessary computing power and memory to handle large workloads effectively.
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Users can now authenticate external Azure SQL DB Metastore with MSI instead of User ID password authentication. This will help to further secure the cluster connection with Metastore.
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For more information, see [Apache Flink Application Mode cluster on HDInsight on AKS](../flink/application-mode-cluster-on-hdinsight-on-aks.md).
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### Updated
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**Private Clusters for HDInsight on AKS**
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**Script action**
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With private clusters, and outbound cluster settings you can now control ingress and egress traffic from HDInsight on AKS cluster pools and clusters.
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Script Action now can be added with Sudo user permission. Users can now install multiple dependencies including custom jars to customize the clusters as required.
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- Use Azure Firewall or Network Security Groups (NSGs) to control the egress traffic, when you opt to use outbound cluster pool with load balancer.
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- Use Outbound cluster pool with User defined routing to control egress traffic at the subnet level.
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- Use Private AKS cluster feature - To ensure AKS control plane, or API server has internal IP addresses. The network traffic between AKS Control plane / API server and HDInsight on AKS node pools (clusters) remains on the private network only.
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- Avoid creating public IPs for the cluster. Use private ingress feature on your clusters.
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**Library Management**
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For more information, see [Control network traffic from HDInsight on AKS Cluster pools and cluster](../control-egress-traffic-from-hdinsight-on-aks-clusters.md).
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Maven repository shortcut feature has been added to the Library Management in this release. User can now install Maven dependencies directly from the open-source repositories.
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**In place Upgrade**
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**Multiple MSI in cluster**
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Upgrade your clusters and cluster pools with the latest software updates. This means that you can enjoy the latest cluster package hotfixes, security updates, and AKS patches, without recreating clusters. For more information, see [Upgrade your HDInsight on AKS clusters and cluster pools](../in-place-upgrade.md).
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**Spark 3.4**
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> [!IMPORTANT]
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> To take benefit of all these **latest features**, you are required to create a new cluster pool with 1.1 and cluster version 1.1.1.
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> To take benefit of all these **latest features**, you are required to create a new cluster pool with 1.2 and cluster version 1.2
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### Known issues
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|Workload|Version|
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| -------- | -------- |
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|Trino | 426 |
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|Trino | 440 |
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|Flink | 1.17.0 |
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|Apache Spark | 3.3.1 |
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**Supported Java and Scala versions**
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|Workload |Java|Scala|
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| ----------- | -------- | -------- |
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|Trino |Open JDK 17.0.7  ||
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|Trino |Open JDK 21.0.2  ||
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|Flink |Open JDK 11.0.21 |2.12.7 |
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|Spark |Open JDK 1.8.0_345  |2.12.15 |
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