Amazon EMR on EKS 7.12.0 releases - Amazon EMR
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Amazon EMR on EKS 7.12.0 releases

This page describes the new and updated functionality for Amazon EMR that is specific to the Amazon EMR on EKS deployment. For details about Amazon EMR running on Amazon EC2 and about the Amazon EMR 7.12.0 release in general, see Amazon EMR 7.12.0 in the Amazon EMR Release Guide.

Amazon EMR on EKS 7.12 releases

The following Amazon EMR 7.12.0 releases are available for Amazon EMR on EKS. Select a specific emr-7.12.0-XXXX release to view more details such as the related container image tag.

Flink releases

The following Amazon EMR 7.12.0 releases are available for Amazon EMR on EKS when you run Flink applications.

Spark releases

The following Amazon EMR 7.12.0 releases are available for Amazon EMR on EKS when you run Spark applications.

  • emr-7.12.0-latest

  • emr-7.12.0-20251111

  • emr-7.12.0-spark-rapids-latest

  • emr-7.12.0-spark-rapids-20251111

  • emr-7.12.0-java11-latest

  • emr-7.12.0-java11-20251111

  • emr-7.12.0-java8-latest

  • emr-7.12.0-java8-20251111

  • emr-7.12.0-spark-rapids-java8-latest

  • emr-7.12.0-spark-rapids-java8-20251111

  • notebook-spark/emr-7.12.0-latest

  • notebook-spark/emr-7.12.0-20251111

  • notebook-spark/emr-7.12.0-spark-rapids-latest

  • notebook-spark/emr-7.12.0-spark-rapids-20251111

  • notebook-spark/emr-7.12.0-java11-latest

  • notebook-spark/emr-7.12.0-java11-20251111

  • notebook-spark/emr-7.12.0-java8-latest

  • notebook-spark/emr-7.12.0-java8-20251111

  • notebook-spark/emr-7.12.0-spark-rapids-java8-latest

  • notebook-spark/emr-7.12.0-spark-rapids-java8-20251111

  • notebook-python/emr-7.12.0-latest

  • notebook-python/emr-7.12.0-20251111

  • notebook-python/emr-7.12.0-spark-rapids-latest

  • notebook-python/emr-7.12.0-spark-rapids-20251111

  • notebook-python/emr-7.12.0-java11-latest

  • notebook-python/emr-7.12.0-java11-20251111

  • notebook-python/emr-7.12.0-java8-latest

  • notebook-python/emr-7.12.0-java8-20251111

  • notebook-python/emr-7.12.0-spark-rapids-java8-latest

  • notebook-python/emr-7.12.0-spark-rapids-java8-20251111

  • livy/emr-7.12.0-latest

  • livy/emr-7.12.0-20251111

  • livy/emr-7.12.0-java11-latest

  • livy/emr-7.12.0-java11-20251111

  • livy/emr-7.12.0-java8-latest

  • livy/emr-7.12.0-java8-20251111

Release notes

Release notes for Amazon EMR on EKS 7.12.0:

  • Supported applications ‐ Amazon SDK for Java 2.35.5 and 1.12.792, Apache Spark 3.5.6-amzn-1, Apache Hudi 1.0.2-amzn-1, Apache Iceberg 1.10.0-amzn-0, Delta 3.3.2-amzn-1, Apache Spark RAPIDS 25.04.0-amzn-0, Apache Flink 1.20.0-amzn-6

  • Supported components ‐ emr-ddb, emr-goodies, emr-s3-select, emrfs, hadoop-client, hudi, hudi-spark, iceberg, spark-kubernetes.

  • Supported configuration classifications

    For use with StartJobRun and CreateManagedEndpoint APIs:

    Classifications Descriptions

    core-site

    Change values in the core-site.xml Hadoop file.

    emrfs-site

    Change EMRFS settings.

    spark-metrics

    Change values in the metrics.properties Spark file.

    spark-defaults

    Change values in the spark-defaults.conf Spark file.

    spark-env

    Change values in the Spark environment.

    spark-hive-site

    Change values in the hive-site.xml Spark file.

    spark-log4j2

    Change values in the log4j2.properties Spark file.

    emr-job-submitter

    Configuration for job submitter pod.

    For use specifically with CreateManagedEndpoint APIs:

    Classifications Descriptions

    jeg-config

    Change values in Jupyter Enterprise Gateway jupyter_enterprise_gateway_config.py file.

    jupyter-kernel-overrides

    Change value for the Kernel Image in Jupyter Kernel Spec file.

    Configuration classifications allow you to customize applications. These often correspond to a configuration XML file for the application, such as spark-hive-site.xml. For more information, see Configure Applications.

Changes and features

The following features are included with the 7.12.0 release of Amazon EMR on EKS:

  • Iceberg Materialized Views – Starting EMR 7.12.0, EMR Spark supports creation and management of Iceberg Materialized Views (MV).

  • Hudi Full Table Access – Starting EMR 7.12.0, EMR now supports Full Table Access (FTA) control for Apache Hudi in Apache Spark based on your policies defined in Lake Formation. This feature enables read and write operations from your Amazon EMR Spark jobs on Lake Formation registered tables when the job role has full table access.

  • Iceberg version upgrade – EMR 7.12.0 supports Apache Iceberg version 1.10.

  • Logging for Livy interactive workloads – Starting EMR 7.12.0, EMR supports extensive logging for key system components to improve troubleshooting for Livy Spark job failures. This feature will provide EMR service with access to additional Livy and SecretAgent logs to simplify troubleshooting.