HPE Ezmeral Data Fabric 6.2 is In Maintenance and transitions to "End of Maintenance" in June 2024. Please see the latest documentation.

About Release 6.2
This site contains documentation for HPE Ezmeral Data Fabric release 6.2 including installation, configuration, administration, and reference content, as well as content for the associated bundled ecosystem components and drivers.
6.2 Installation
This section contains information about installing and upgrading HPE Ezmeral Data Fabric software. It also contains information about how to migrate data and applications from an Apache Hadoop cluster to a HPE Ezmeral Data Fabric cluster.
6.2 Data Fabric
HPE Ezmeral Data Fabric is the industry-leading data platform for AI and analytics that solves enterprise business needs.
6.2 Administration
This section describes how to manage the nodes and services that make up a cluster.
6.2 Development
This section contains information related to application development for Ezmeral ecosystem components and HPE Ezmeral Data Fabric products, including the file system, Database (Key-Value and JSON), and Event Streams.
Other Docs
This section contains release-independent information, including: Installer documentation, Ecosystem release notes, interoperability matrices, security vulnerabilities, and links to other data-fabric version documentation.
- Products Covered in the HPE Ezmeral Data Fabric Documentation
  This section lists the products covered in the HPE Ezmeral Data Fabric documentation portal and provides links to the related product documentation.
- Installer
  You must download and run the Installer setup script before you can start the Installer web interface or issue Installer Stanza commands.
- Interoperability Matrices
  This section provides tables that show the operating system (OS), JDK, ecosystem, and data-fabric client support for the HPE Ezmeral Data Fabric. Check these tables for information about software compatibility.
- MapR Data Science Refinery Release Notes
  This section contains release notes for the MapR Data Science Refinery.
- Ecosystem Component Release Notes
  The following release notes contain information for the components included in the HPE Ezmeral Data Fabric.
- Ezmeral Ecosystem Pack (EEP) Reference
  This section contains links to information that is specific to a given EEP.
- Control System Release Notes
  This section contains release notes for the HPE Ezmeral Data Fabric Control System.
- Kubernetes Interfaces for Data Fabric Release Notes
  This section contains release notes for the Kubernetes Interfaces for Data Fabric.
- Thin Client Release Notes
  This section contains release notes for the lightweight client applications that use the Data Access Gateway to send requests to the HPE Ezmeral Data Fabric.
- Support Articles in the HPE Support Center
  Data Fabric support articles moved to the HPE Support Center in 2022, changing the way you find and access the support articles.
- PACC Release Notes
  This section contains release notes for the Persistent Application Client Container (PACC).
- Security Vulnerabilities
  This section describes how to find information about potential security vulnerabilities in HPE Ezmeral Data Fabric software.
- Previous Versions
  This page contains links to the documentation for releases that are currently supported or have recently reached end-of-life.
- HPE Ezmeral Data Fabric Edge
  This section contains information about HPE Ezmeral Data Fabric Edge, which is a small footprint edition of the HPE Ezmeral Data Fabric. HPE Ezmeral Data Fabric Edge is designed to capture, process, and analyze IoT data close to the source.
- Product Licensing
  Provides information related to product licensing.
- Other Resources
  This page provides links to additional resources such as on-demand training, videos, blogs, and the HPE Ezmeral Data Fabric community.
Glossary
Definitions for commonly used terms in MapR Converged Data Platform environments.

Hadoop 2.7.6.0 - 2201 (EEP 7.1.2) Release Notes

The notes below relate to the HPE Ezmeral Data Fabric distribution of Apache Hadoop.

These release notes contain only data-fabric-specific information and are not necessarily cumulative in nature. For information about how to use the release notes, see Ecosystem Component Release Notes.

Version	2.7.6.0
Release Date	March 2022
Version Interoperability	See EEP Components and OS Support.
GitHub Source	https://github.com/mapr/hadoop-common/
GitHub Release Tag	`2.7.6.0-mapr-712`
Maven Artifacts	https://repository.mapr.com/maven/
Package Names	Navigate to https://package.ezmeral.hpe.com/releases/MEP/ and select your EEP and OS to view the list of package names.
Documentation	Hadoop Overview: Hadoop YARN Overview: YARN Installation: Installing Hadoop and YARN Upgrade: Pre-Upgrade Steps for Hadoop and YARN Upgrading Hadoop and YARN Post-Upgrade Steps for Hadoop and YARN Commands: Hadoop Commands

New in this Release

Hadoop 2.7.6.0 is a minor update that includes a backport of all commits from Apache Hadoop 2.7.6 with bug fixes and updated dependencies to address CVEs.

Fixes

This data-fabric release includes the following fixes on the base Apache release. For details, refer to the commit log for this project in GitHub.

Commit	Date (YYYY-MM-DD)	Comment
eff76fc8	2022-01-31	Backport HADOOP-11918. Listing an empty s3a root directory throws FileNotFound
b0ad6bf0	2022-01-25	MAPRHADOOP-213: updated log4j to 1.3.1-mapr version
6bdb3818	2021-12-14	MAPRYARN-348: Updated Netty4 to 4.1.71.Final version
e27dbdcc	2021-11-18	MAPRYARN-342: Removed Netty3 dependency
371faa33	2021-11-18	Backport HADOOP-11245. Update NFS gateway to use Netty4
47f8a560 a761d74d	2021-11-18	Backport HDFS-5570. Deprecate hftp / hsftp and replace them with webhdfs / swebhdfs. Contributed by Haohui Mai
b7ee29dd	2021-11-18	MAPRYARN-343: updated gson to 2.8.9 version
f5bee762	2021-11-18	MAPRHADOOP-207: Jetty updated to 9.4.44.v20210927 version
30f10fee	2021-11-02	Backport YARN-4925. ContainerRequest in AMRMClient, application should be able to specify nodes/racks together with nodeLabelExpression. Contributed by Bibin A Chundatt

For complete details, refer to the commit log for this project in GitHub.

Known Issues and Limitations

None.

Resolved Issues

None.