Scale-down operations might stall when a core node The 6.12.0 release fixes an issue where cluster It also improves cluster utilization,īecause your cluster scales up and down faster. Will indefinitely stall due to a single failed resize This improvement reduces the risk that cluster resizing Mechanism to the cluster scaling workflow for Java / Amazon Corretto version (default is That you test your workloads before you changeĭefault Java versions for applications in Amazon EMR 6.12 Performance might regress for some workloads when While Amazon EMR supports both Amazon Corretto 11 and 17 onĪpache Spark, Apache Hadoop, and Apache Hive, Amazon EMRĭoesn't support running different nodes orĪpplications on different runtime versions on the Use one Java runtime version for a cluster. In Configure applications to use a specific JavaĪpplication that runs on the cluster. If you want to change theĭefault JVM on your cluster, follow the instructions For Trino,Īmazon EMR supports Amazon Corretto 17 by default starting withĪmazon EMR also supports some applications with AmazonĬorretto 11 and 17. For more information, seeĪmazon EMR 6.12.0 supports all applications with AmazonĬorretto 8 by default, except for Trino. For more information, see Using the default Amazon Linux AMI for Amazon EMR.Īmazon EMR releases 6.12.0 and higher provide Java 11 When you launch a cluster with the latest patch release of Amazon EMR 5.36 or higher, or 6.6 or higher, Amazon EMR uses the latest Amazon Linux 2 release for theĭefault Amazon EMR AMI. Running in a VPC with a custom domain encounters a core or task node Scale-down operations might stall when a cluster that's The 6.14.0 release fixes an issue where cluster Times for certain combinations of Amazon EMR The 6.14.0 release optimizes application installationĪt cluster launch. Mitigates startup failures that occur due to Risk of operational delays with cluster scaling, and With open-source applications such as Apache The 6.14.0 release improves the way that Amazon EMR interacts Only scale-down operations for task nodes aren’t Substantial variation in size for their Amazon EBS The 6.14.0 release improves the scaling workflow toĪccount for different core instances that have a Slight reduction in storage costs for your cluster The 6.14.0 release optimizes log management with Amazon EMR
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