About Release 7.0
This site contains documentation for HPE Ezmeral Data Fabric release 7.0, including installation, configuration, administration, and reference content, as well as content for the associated ecosystem components and drivers.
7.0 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 HPE Ezmeral Data Fabric File Store
  Describes how to install File Store software with or without the Installer.
- Installing HPE Ezmeral Data Fabric Object Store
  Describes installation of the HPE Ezmeral Data Fabric Object 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.
  - Direct Access NFS™
    Describes how to configure Direct Access NFS to mount the file system to a local directory.
  - HPE Ezmeral Data Fabric Client
    Describes how to install the HPE Ezmeral Data Fabric client to run Hadoop commands, jobs, and applications from a client machine.
    - Installing the Data Fabric Client (Non-FIPS)
      This section describes how to prepare the client machine for the installation process in a non-FIPS environment.
    - Installing the Data Fabric Client (FIPS)
      This section describes how to prepare the client machine for the installation process in a FIPS environment.
    - Configuring the Windows Client
      You can use the data-fabric client on Windows.
    - Installing the Hadoop Client
      Describes how to install the Hadoop client.
  - POSIX Clients
    Describes how to install the POSIX loopback NFS, and the FUSE-based POSIX clients.
  - PACC
    This container gives you seamless access to HPE Ezmeral Data Fabric cluster services.
  - Running Hadoop Commands on a Mac and Windows Client
    The location from which you run Hadoop commands depends on your machine.
  - Installing the MAST Gateway
    Describes how to install the Automated Storage Tiering (MAST) Gateway service.
  - Enabling Soft Mount and Setting the Timeout
    Describes how to enable soft mount, and set the RPC timeout for HPE Ezmeral Data Fabric components.
  - Troubleshooting
    Describes changes to core-site.xml file to troubleshoot issues.
- 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.
- 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.
7.0 Data Fabric
HPE Ezmeral Data Fabric is the industry-leading data platform for AI and analytics that solves enterprise business needs.
7.0 Administration
This section describes how to manage the nodes and services that make up a cluster.
7.0 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.

Installing the Hadoop Client

Describes how to install the Hadoop client.

Before release 6.2.0 and EEP 7.0.0, the Hadoop client was part of the data-fabric client (the mapr-client package). Beginning with release 6.2.0 and EEP 7.0.0, Hadoop and YARN services are removed from core and delivered as ecosystem components in the EEP repository. For more information about these services, see Installing Hadoop and YARN.

While the mapr-hadoop-client package is now included in the EEP repositories for RHEL, Ubuntu, and SLES, the Hadoop client is still part of the mapr-client zip file for Windows and Mac platforms. Delivering Hadoop and YARN services in an EEP makes it possible to install and upgrade the Hadoop client package independently of the data-fabric client. You can install the Hadoop client at the same time as the data-fabric client or later. Note that you must use configure.sh with the -c option to specify the client setup.

The Hadoop client depends on the mapr-client package and should be installed after the mapr-client. In the following example, the Hadoop client is installed with the mapr-client:

# yum install mapr-client mapr-hadoop-client
....................
# /opt/mapr/server/configure.sh -N my.cluster.com -c -C node1.cluster.com:7222 -HS node1.cluster.com
....................
# hadoop fs -ls /
Found 5 items
drwxr-xr-x  - root root       2 2020-10-26 15:20 /apps
drwxr-xr-x  - root root       0 2020-10-26 15:23 /opt
drwsrwxrwx  - root root       2 2020-10-26 12:14 /tmp
drwxr-xr-x  - root root       2 2020-10-26 12:00 /user
drwxr-xr-x  - root root       1 2020-10-26 15:20 /var

The following example shows installing the Hadoop client on a client node where the mapr-client has already been installed:

# yum install mapr-hadoop-client
....................
# /opt/mapr/server/configure.sh -R -c -HS node1.cluster.com