Amazon EMR 6.x Release Versions - Amazon EMR

Amazon EMR 6.x Release Versions

Each tab below lists application versions, release notes, component versions, and configuration classifications available in each Amazon EMR 6.x release version.

Amazon EMR 6.x series supports Apache Hadoop 3. For a comprehensive diagram of application versions in every release, see Application Versions in Amazon EMR 6.x Releases (PNG).

New Amazon EMR release versions are made available in different regions over a period of several days, beginning with the first region on the initial release date. The latest release version may not be available in your region during this period.


6.0.0 Application Versions

The following applications are supported in this release: Ganglia, Hadoop, HBase, HCatalog, Hive, Hue, JupyterHub, Livy, MXNet, Oozie, Phoenix, Presto, Spark, TensorFlow, Tez, Zeppelin, and ZooKeeper.

The diagram below depicts the application versions available in this release of Amazon EMR and the application versions in the preceding four Amazon EMR releases.

For a comprehensive history of application versions for each release of Amazon EMR, see the following diagrams:

6.0.0 Release Notes

The following release notes include information for Amazon EMR release version 6.0.0.

Initial release date: March 10, 2020

Supported Applications

  • AWS SDK for Java version 1.11.711

  • Ganglia version 3.7.2

  • Hadoop version 3.2.1

  • HBase version 2.2.3

  • HCatalog version 3.1.2

  • Hive version 3.1.2

  • Hudi version 0.5.0-incubating

  • Hue version 4.4.0

  • JupyterHub version 1.0.0

  • Livy version 0.6.0

  • MXNet version 1.5.1

  • Oozie version 5.1.0

  • Phoenix version 5.0.0

  • Presto version 0.230

  • Spark version 2.4.4

  • TensorFlow version 1.14.0

  • Zeppelin version 0.9.0-SNAPSHOT

  • Zookeeper version 3.4.14

  • Connectors and drivers: DynamoDB Connector 4.14.0


Flink, Sqoop, Pig, and Mahout are not available in Amazon EMR version 6.0.0.

New Features

  • YARN Docker Runtime Support - YARN applications, such as Spark jobs, can now run in the context of a Docker container. This allows you to easily define dependencies in a Docker image without the need to install custom libraries on your Amazon EMR cluster. For more information, see Configure Docker Integration and Run Spark applications with Docker using Amazon EMR 6.0.0.

  • Hive LLAP Support - Hive now supports the LLAP execution mode for improved query performance. For more information, see Using Hive LLAP.

Changes, Enhancements, and Resolved Issues

  • Amazon Linux

    • Amazon Linux 2 is the operating system for the EMR 6.x release series.

    • systemd is used for service management instead of upstart used in Amazon Linux 1.

  • Java Development Kit (JDK)

    • Coretto JDK 8 is the default JDK for the EMR 6.x release series.

  • Scala

    • Scala 2.12 is used with Apache Spark and Apache Livy.

  • Python 3

    • Python 3 is now the default version of Python in EMR.

  • YARN node labels

    • Beginning with Amazon EMR 6.x release series, the YARN node labels feature is disabled by default. The application master processes can run on both core and task nodes by default. You can enable the YARN node labels feature by configuring following properties: yarn.node-labels.enabled and For more information, see Understanding Master, Core, and Task Nodes.

Known Issues

  • Spark interactive shell, including PySpark, SparkR, and spark-shell, does not support using Docker with additional libraries.

  • To use Python 3 with Amazon EMR version 6.0.0, you must add PATH to yarn.nodemanager.env-whitelist.

  • The Live Long and Process (LLAP) functionality is not supported when you use the AWS Glue Data Catalog as the metastore for Hive.

  • When using Amazon EMR 6.0.0 with Spark and Docker integration, you need to configure the instances in your cluster with the same instance type and the same amount of EBS volumes to avoid failure when submitting a Spark job with Docker runtime.

  • In Amazon EMR 6.0.0, HBase on Amazon S3 storage mode is impacted by the HBASE-24286. issue. HBase master cannot initialize when the cluster is created using existing S3 data.

6.0.0 Component Versions

The components that Amazon EMR installs with this release are listed below. Some are installed as part of big-data application packages. Others are unique to Amazon EMR and installed for system processes and features. These typically start with emr or aws. Big-data application packages in the most recent Amazon EMR release are usually the latest version found in the community. We make community releases available in Amazon EMR as quickly as possible.

Some components in Amazon EMR differ from community versions. These components have a version label in the form CommunityVersion-amzn-EmrVersion. The EmrVersion starts at 0. For example, if open source community component named myapp-component with version 2.2 has been modified three times for inclusion in different Amazon EMR release versions, its release version is listed as 2.2-amzn-2.

Component Version Description
aws-sagemaker-spark-sdk 1.2.6 Amazon SageMaker Spark SDK
emr-ddb 4.14.0 Amazon DynamoDB connector for Hadoop ecosystem applications.
emr-goodies 3.0.0 Extra convenience libraries for the Hadoop ecosystem.
emr-kinesis 3.5.0 Amazon Kinesis connector for Hadoop ecosystem applications.
emr-s3-dist-cp 2.14.0 Distributed copy application optimized for Amazon S3.
emr-s3-select 1.5.0 EMR S3Select Connector
emrfs 2.39.0 Amazon S3 connector for Hadoop ecosystem applications.
ganglia-monitor 3.7.2 Embedded Ganglia agent for Hadoop ecosystem applications along with the Ganglia monitoring agent.
ganglia-metadata-collector 3.7.2 Ganglia metadata collector for aggregating metrics from Ganglia monitoring agents.
ganglia-web 3.7.1 Web application for viewing metrics collected by the Ganglia metadata collector.
hadoop-client 3.2.1-amzn-0 Hadoop command-line clients such as 'hdfs', 'hadoop', or 'yarn'.
hadoop-hdfs-datanode 3.2.1-amzn-0 HDFS node-level service for storing blocks.
hadoop-hdfs-library 3.2.1-amzn-0 HDFS command-line client and library
hadoop-hdfs-namenode 3.2.1-amzn-0 HDFS service for tracking file names and block locations.
hadoop-hdfs-journalnode 3.2.1-amzn-0 HDFS service for managing the Hadoop filesystem journal on HA clusters.
hadoop-httpfs-server 3.2.1-amzn-0 HTTP endpoint for HDFS operations.
hadoop-kms-server 3.2.1-amzn-0 Cryptographic key management server based on Hadoop's KeyProvider API.
hadoop-mapred 3.2.1-amzn-0 MapReduce execution engine libraries for running a MapReduce application.
hadoop-yarn-nodemanager 3.2.1-amzn-0 YARN service for managing containers on an individual node.
hadoop-yarn-resourcemanager 3.2.1-amzn-0 YARN service for allocating and managing cluster resources and distributed applications.
hadoop-yarn-timeline-server 3.2.1-amzn-0 Service for retrieving current and historical information for YARN applications.
hbase-hmaster 2.2.3 Service for an HBase cluster responsible for coordination of Regions and execution of administrative commands.
hbase-region-server 2.2.3 Service for serving one or more HBase regions.
hbase-client 2.2.3 HBase command-line client.
hbase-rest-server 2.2.3 Service providing a RESTful HTTP endpoint for HBase.
hbase-thrift-server 2.2.3 Service providing a Thrift endpoint to HBase.
hcatalog-client 3.1.2-amzn-0 The 'hcat' command line client for manipulating hcatalog-server.
hcatalog-server 3.1.2-amzn-0 Service providing HCatalog, a table and storage management layer for distributed applications.
hcatalog-webhcat-server 3.1.2-amzn-0 HTTP endpoint providing a REST interface to HCatalog.
hive-client 3.1.2-amzn-0 Hive command line client.
hive-hbase 3.1.2-amzn-0 Hive-hbase client.
hive-metastore-server 3.1.2-amzn-0 Service for accessing the Hive metastore, a semantic repository storing metadata for SQL on Hadoop operations.
hive-server2 3.1.2-amzn-0 Service for accepting Hive queries as web requests.
hudi 0.5.0-incubating-amzn-1 Incremental processing framework to power data pipline at low latency and high efficiency.
hudi-presto 0.5.0-incubating-amzn-1 Bundle library for running Presto with Hudi.
hue-server 4.4.0 Web application for analyzing data using Hadoop ecosystem applications
jupyterhub 1.0.0 Multi-user server for Jupyter notebooks
livy-server 0.6.0-incubating REST interface for interacting with Apache Spark
nginx 1.12.1 nginx [engine x] is an HTTP and reverse proxy server
mxnet 1.5.1 A flexible, scalable, and efficient library for deep learning.
mariadb-server 5.5.64+ MariaDB database server.
nvidia-cuda 9.2.88 Nvidia drivers and Cuda toolkit
oozie-client 5.1.0 Oozie command-line client.
oozie-server 5.1.0 Service for accepting Oozie workflow requests.
opencv 3.4.0 Open Source Computer Vision Library.
phoenix-library 5.0.0-HBase-2.0 The phoenix libraries for server and client
phoenix-query-server 5.0.0-HBase-2.0 A light weight server providing JDBC access as well as Protocol Buffers and JSON format access to the Avatica API
presto-coordinator 0.230 Service for accepting queries and managing query execution among presto-workers.
presto-worker 0.230 Service for executing pieces of a query.
presto-client 0.230 Presto command-line client which is installed on an HA cluster's stand-by masters where Presto server is not started.
r 3.4.3 The R Project for Statistical Computing
spark-client 2.4.4 Spark command-line clients.
spark-history-server 2.4.4 Web UI for viewing logged events for the lifetime of a completed Spark application.
spark-on-yarn 2.4.4 In-memory execution engine for YARN.
spark-yarn-slave 2.4.4 Apache Spark libraries needed by YARN slaves.
tensorflow 1.14.0 TensorFlow open source software library for high performance numerical computation.
tez-on-yarn 0.9.2 The tez YARN application and libraries.
webserver 2.4.41+ Apache HTTP server.
zeppelin-server 0.9.0-SNAPSHOT Web-based notebook that enables interactive data analytics.
zookeeper-server 3.4.14 Centralized service for maintaining configuration information, naming, providing distributed synchronization, and providing group services.
zookeeper-client 3.4.14 ZooKeeper command line client.

6.0.0 Configuration Classifications

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

emr-6.0.0 Classifications
Classifications Description


Change values in Hadoop's capacity-scheduler.xml file.


Change values in Hadoop YARN's container-executor.cfg file.


Change values in Hadoop YARN's file.


Change values in Hadoop's core-site.xml file.


Change EMRFS settings.


Change values in the Hadoop environment for all Hadoop components.


Change values in Hadoop's file.


Change hadoop ssl server configuration


Change hadoop ssl client configuration


Amazon EMR-curated settings for Apache HBase.


Change values in HBase's environment.


Change values in HBase's file.


Change values in HBase's file.


Change values in HBase's hbase-policy.xml file.


Change values in HBase's hbase-site.xml file.


Configure HDFS encryption zones.


Change values in the HDFS environment.


Change values in HDFS's hdfs-site.xml.


Change values in HCatalog's environment.


Change values in HCatalog's


Change values in HCatalog's proto-hive-site.xml.


Change values in HCatalog WebHCat's environment.


Change values in HCatalog WebHCat's


Change values in HCatalog WebHCat's webhcat-site.xml file.


Amazon EMR-curated settings for Apache Hive.


Change values in Hive's file.


Change values in Hive's file.


Change values in the Hive environment.


Change values in Hive's file.


Change values in Hive's file.


Change values in Hive's file.


Change values in Hive's hive-site.xml file


Change values in Hive Server2's hiveserver2-site.xml file


Change values in Hue's ini file


Change values in the HTTPFS environment.


Change values in Hadoop's httpfs-site.xml file.


Change values in Hadoop's kms-acls.xml file.


Change values in the Hadoop KMS environment.


Change values in Hadoop's file.


Change values in Hadoop's kms-site.xml file.


Change values in Jupyter Notebook's file.


Change values in JupyterHubs's file.


Configure Jupyter Notebook S3 persistence.


Change values in Sparkmagic's config.json file.


Change values in Livy's livy.conf file.


Change values in the Livy environment.


Change Livy settings.


Change values in the MapReduce application's environment.


Change values in the MapReduce application's mapred-site.xml file.


Change values in Oozie's environment.


Change values in Oozie's file.


Change values in Oozie's oozie-site.xml file.


Change values in Phoenix's file.


Change values in Phoenix's hbase-site.xml file.


Change values in Phoenix's file.


Change values in Phoenix's file.


Change values in Presto's file.


Change values in Presto's file.


Change values in Presto's file.


Change values in Presto's file.


Change values in Presto's file.


Change values in Presto's file.


Change values in Presto's file.


Change values in Presto's file.


Change values in Presto's file.


Change values in Presto's file.


Change values in Presto's file.


Change values in Presto's file.


Change values in Presto's file.


Change values in Presto's file.


Change values in Presto's file.


Change values in Presto's file.


Change values in Presto's file.


Change values in Presto's file.


Change values in Presto's file.


Change values in Presto's file.


Change values in dbks-site.xml file of Ranger KMS.


Change values in ranger-kms-site.xml file of Ranger KMS.


Change values in the Ranger KMS environment.


Change values in file of Ranger KMS.


Change values for CA file on S3 for MySQL SSL connection with Ranger KMS.


Change values in the EMR RecordServer environment.


Change values in EMR RecordServer's file.


Change values in EMR RecordServer's file.


Amazon EMR-curated settings for Apache Spark.


Change values in Spark's spark-defaults.conf file.


Change values in the Spark environment.


Change values in Spark's hive-site.xml file


Change values in Spark's file.


Change values in Spark's file.


Change values in Tez's tez-site.xml file.


Change values in the YARN environment.


Change values in YARN's yarn-site.xml file.


Change values in the Zeppelin environment.


Change values in ZooKeeper's zoo.cfg file.


Change values in ZooKeeper's file.