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.
- Planning the Cluster
  Describes information and factors used in planning your cluster.
- Installing Core and Ecosystem Components
  Describes how to install HPE Ezmeral Data Fabric software and ecosystem components with or without the Installer.
- Installing the File Migration Service on the Edge Cluster
  Describes how to install the File Migration service on CentOS nodes.
- Installing the HPE Ezmeral Data Fabric File Store
  Describes how to install File Store software with or without the Installer.
- Installing Kubernetes Interfaces for Data Fabric
  This section describes how to plan for and install the Container Storage Interface (CSI) Storage Plugin and the Kubernetes Interfaces for Data Fabric FlexVolume Driver.
- Upgrading Core or EEP Components
  Depending on your current configuration, you may choose to upgrade the release version (core), ecosystem components, clients, or monitoring components.
- Setting Up Clients and Services
  Describes how to set up and use interfaces to an HPE Ezmeral Data Fabric cluster from a client computer.
- Setting Up the Control System
  Describes how to configure and access the Control System.
- Migrating to the HPE Ezmeral Data Fabric
  Provides instructions for migrating business-critical data and applications from an Apache Hadoop cluster to an HPE Ezmeral Data Fabric cluster.
  - Planning and Initial Deployment
    There are a number of considerations to take into account before migrating from Apache Hadoop to data-fabric Hadoop.
  - Component Migration
    This section describes how to migrate customized components to Hadoop for the HPE Ezmeral Data Fabric.
    - Hive Migration
      You can continue to use Hive tables in a MapR cluster.
    - HBase Migration
      The MapR Hadoop distribution includes HBase, with a number of MapR-exclusive enhancements.
      - Migrating between Apache HBase and HPE Ezmeral Data Fabric Database Binary Tables
        You can use the CopyTable tool to migrate data from an Apache HBase table to a HPE Ezmeral Data Fabric Database binary table.
      - Before You Start HBase Migration
      - Mapping to HBase Table Namespaces
        This section describes mapping table namespaces between Apache HBase tables and HPE Ezmeral Data Fabric Database binary tables.
      - Compression Mappings
      - Copying Data
      - Verifying Migration
      - Decommissioning Apache HBase Nodes
  - Application Migration
    Before you migrate your applications to the MapR Hadoop distribution, consider testing your applications using a small subset of data.
  - Data Migration
    After you migrate your applications to the MapR cluster, you can copy your data from the Apache Hadoop HDFS to the MapR cluster.
  - Node Migration
    You can add decommissioned HDFS data nodes to your MapR cluster.
- Applying a Patch
  You can apply a patch by using the Installer, by using the command line (a manual process), or by using an Installer Stanza.
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.
Glossary
Definitions for commonly used terms in MapR Converged Data Platform environments.

Compression Mappings

HPE Ezmeral Data Fabric Database binary tables support the LZ4, LZF, and ZLIB compression algorithms.

When you create a HPE Ezmeral Data Fabric Database binary table with the Apache HBase API or the HBase shell and specify the LZ4, LZO, or SNAPPY compression algorithms, the table uses the LZ4 compression algorithm.

When you describe a HPE Ezmeral Data Fabric Database binary table's schema through the HBase API, the LZ4 and OLDLZF compression algorithms map to the LZ4 compression algorithm.