Amazon EMR on EKS 6.14.0 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 6.14.0 release in general, see Amazon EMR 6.14.0 in the Amazon EMR Release Guide.
Amazon EMR on EKS 6.14 releases
The following Amazon EMR 6.14.0 releases are available for Amazon EMR on EKS. Select a specific emr-6.14.0-XXXX release to view more details such as the related container image tag.
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emr-6.14.0-spark-rapids-latest
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emr-6.14.0-spark-rapids-20231005
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emr-6.14.0-java11-latest
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emr-6.14.0-java11-20231005
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emr-6.14.0-java17-latest
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emr-6.14.0-java17-20231005
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emr-6.14.0-java17-al2023-latest
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emr-6.14.0-java17-al2023-20231005
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emr-6.14.0-spark-rapids-java17-latest
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emr-6.14.0-spark-rapids-java17-20231005
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emr-6.14.0-spark-rapids-java17-al2023-latest
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emr-6.14.0-spark-rapids-java17-al2023-20231005
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notebook-spark/emr-6.14.0-latest
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notebook-spark/emr-6.14.0-20231005
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notebook-spark/emr-6.14.0-spark-rapids-latest
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notebook-spark/emr-6.14.0-spark-rapids-20231005
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notebook-spark/emr-6.14.0-java11-latest
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notebook-spark/emr-6.14.0-java11-20231005
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notebook-spark/emr-6.14.0-java17-latest
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notebook-spark/emr-6.14.0-java17-20231005
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notebook-spark/emr-6.14.0-java17-al2023-latest
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notebook-spark/emr-6.14.0-java17-al2023-20231005
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notebook-python/emr-6.14.0-latest
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notebook-python/emr-6.14.0-20231005
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notebook-python/emr-6.14.0-spark-rapids-latest
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notebook-python/emr-6.14.0-spark-rapids-20231005
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notebook-python/emr-6.14.0-java11-latest
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notebook-python/emr-6.14.0-java11-20231005
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notebook-python/emr-6.14.0-java17-latest
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notebook-python/emr-6.14.0-java17-20231005
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notebook-python/emr-6.14.0-java17-al2023-latest
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notebook-python/emr-6.14.0-java17-al2023-20231005
Release notes
Release notes for Amazon EMR on EKS 6.14.0
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Supported applications ‐ Amazon SDK for Java 1.12.543, Apache Spark 3.4.1-amzn-1, Apache Hudi 0.13.1-amzn-2, Apache Iceberg 1.3.0-amzn-0, Delta 2.4.0, Apache Spark RAPIDS 23.06.0-amzn-2, Jupyter Enterprise Gateway 2.7.0
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Supported components ‐
aws-sagemaker-spark-sdk
,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-log4j
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.
Notable features
The following features are included with the 6.14 release of Amazon EMR on EKS.
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Apache Livy
support - Amazon EMR on EKS now supports Apache Livy with spark-submit
.