Amazon EMR release 4.3.0 - Amazon EMR
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Amazon EMR release 4.3.0

Application versions

The following applications are supported in this release: Ganglia, Hadoop, Hive, Hue, Mahout, Oozie-Sandbox, Pig, Presto-Sandbox, Spark, and Zeppelin-Sandbox.

The table below lists the application versions available in this release of Amazon EMR and the application versions in the preceding three Amazon EMR releases (when applicable).

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

Application version information
emr-4.3.0 emr-4.2.0 emr-4.1.0 emr-4.0.0
Amazon SDK for Java trackedNot tracked
Python Not trackedNot trackedNot trackedNot tracked
Scala Not trackedNot trackedNot trackedNot tracked
AmazonCloudWatchAgent - - - -
Delta - - - -
Flink - - - -
Ganglia3. - -
HBase - - - -
HCatalog - - - -
Hudi - - - -
Hue3. -
Iceberg - - - -
JupyterEnterpriseGateway - - - -
JupyterHub - - - -
Livy - - - -
MXNet - - - -
Oozie - - - -
Oozie-Sandbox4. -
Phoenix - - - -
Presto - - - -
Presto-Sandbox0.1300.1250.119 -
Sqoop - - - -
Sqoop-Sandbox - - - -
TensorFlow - - - -
Tez - - - -
Trino (PrestoSQL) - - - -
Zeppelin - - - -
Zeppelin-Sandbox0. -
ZooKeeper - - - -
ZooKeeper-Sandbox - - - -

Release notes

The following release notes include information for the Amazon EMR 4.3.0 release.

Release date: January 19, 2016

  • Upgraded to Hadoop 2.7.1

  • Upgraded to Spark 1.6.0

  • Upgraded Ganglia to 3.7.2

  • Upgraded Presto to 0.130

  • Amazon EMR made some changes to spark.dynamicAllocation.enabled when it is set to true; it is false by default. When set to true, this affects the defaults set by the maximizeResourceAllocation setting:

    • If spark.dynamicAllocation.enabled is set to true, spark.executor.instances is not set by maximizeResourceAllocation.

    • The spark.driver.memory setting is now configured based on the instance types in the cluster in a similar way to how spark.executors.memory is set. However, because the Spark driver application may run on either the master or one of the core instances (for example, in YARN client and cluster modes, respectively), the spark.driver.memory setting is set based on the instance type of the smaller instance type between these two instance groups.

    • The spark.default.parallelism setting is now set at twice the number of CPU cores available for YARN containers. In previous releases, this was half that value.

    • The calculations for the memory overhead reserved for Spark YARN processes were adjusted to be more accurate, resulting in a small increase in the total amount of memory available to Spark (that is, spark.executor.memory).

Known issues resolved from previous releases
  • YARN log aggregation is now enabled by default.

  • Fixed an issue where logs would not be pushed to Amazon S3 logs bucket for the cluster when YARN log aggregation was enabled.

  • YARN container sizes now have a new minimum of 32 across all node types.

  • Fixed an issue with Ganglia that caused excessive disk I/O on the primary node in large clusters.

  • Fixed an issue that prevented applications logs from being pushed to Amazon S3 when a cluster is shutting down.

  • Fixed an issue in EMRFS CLI that caused certain commands to fail.

  • Fixed an issue with Zeppelin that prevented dependencies from being loaded in the underlying SparkContext.

  • Fixed an issue that resulted from issuing a resize attempting to add instances.

  • Fixed an issue in Hive where CREATE TABLE AS SELECT makes excessive list calls to Amazon S3.

  • Fixed an issue where large clusters would not provision properly when Hue, Oozie, and Ganglia are installed.

  • Fixed an issue in s3-dist-cp where it would return a zero exit code even if it failed with an error.

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 releases, its release version is listed as 2.2-amzn-2.

Component Version Description
emr-ddb3.0.0Amazon DynamoDB connector for Hadoop ecosystem applications.
emr-goodies2.0.0Extra convenience libraries for the Hadoop ecosystem.
emr-kinesis3.1.0Amazon Kinesis connector for Hadoop ecosystem applications.
emr-s3-dist-cp2.1.0Distributed copy application optimized for Amazon S3.
emrfs2.3.0Amazon S3 connector for Hadoop ecosystem applications.
ganglia-monitor3.7.2Embedded Ganglia agent for Hadoop ecosystem applications along with the Ganglia monitoring agent.
ganglia-metadata-collector3.7.2Ganglia metadata collector for aggregating metrics from Ganglia monitoring agents.
ganglia-web3.7.1Web application for viewing metrics collected by the Ganglia metadata collector.
hadoop-client2.7.1-amzn-0Hadoop command-line clients such as 'hdfs', 'hadoop', or 'yarn'.
hadoop-hdfs-datanode2.7.1-amzn-0HDFS node-level service for storing blocks.
hadoop-hdfs-library2.7.1-amzn-0HDFS command-line client and library
hadoop-hdfs-namenode2.7.1-amzn-0HDFS service for tracking file names and block locations.
hadoop-httpfs-server2.7.1-amzn-0HTTP endpoint for HDFS operations.
hadoop-kms-server2.7.1-amzn-0Cryptographic key management server based on Hadoop's KeyProvider API.
hadoop-mapred2.7.1-amzn-0MapReduce execution engine libraries for running a MapReduce application.
hadoop-yarn-nodemanager2.7.1-amzn-0YARN service for managing containers on an individual node.
hadoop-yarn-resourcemanager2.7.1-amzn-0YARN service for allocating and managing cluster resources and distributed applications.
hive-client1.0.0-amzn-2Hive command line client.
hive-metastore-server1.0.0-amzn-2Service for accessing the Hive metastore, a semantic repository storing metadata for SQL on Hadoop operations.
hive-server1.0.0-amzn-2Service for accepting Hive queries as web requests.
hue-server3.7.1-amzn-5Web application for analyzing data using Hadoop ecosystem applications
mahout-client0.11.0Library for machine learning.
mysql-server5.5MySQL database server.
oozie-client4.2.0Oozie command-line client.
oozie-server4.2.0Service for accepting Oozie workflow requests.
presto-coordinator0.130Service for accepting queries and managing query execution among presto-workers.
presto-worker0.130Service for executing pieces of a query.
pig-client0.14.0-amzn-0Pig command-line client.
spark-client1.6.0Spark command-line clients.
spark-history-server1.6.0Web UI for viewing logged events for the lifetime of a completed Spark application.
spark-on-yarn1.6.0In-memory execution engine for YARN.
spark-yarn-slave1.6.0Apache Spark libraries needed by YARN slaves.
webserver2.4Apache HTTP server.
zeppelin-server0.5.5-incubating-amzn-1Web-based notebook that enables interactive data analytics.

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 Configure applications.

emr-4.3.0 classifications
Classifications Description


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


Configure HDFS encryption zones.


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


Change values in the Hive environment.


Change values in Hive's file.


Change values in Hive's file.


Change values in Hive's hive-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 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 Pig's file.


Change values in Pig's file.


Change values in Presto's file.


Change values in Presto's file.


Change values in Presto'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 file.


Change values in Spark's file.


Change values in the YARN environment.


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


Change values in the Zeppelin environment.