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.
- Administering Users and Clusters
  Lists topics that help manage a data-fabric cluster.
- Administering Nodes
  Provides a synopsis of managing nodes in a cluster.
- Administering Volumes
  This section provide information about how to organize and manage data using volumes, a unique feature of HPE Ezmeral Data Fabric clusters.
- Administering Files and Directories
- Administering Tables
  Administration of the HPE Ezmeral Data Fabric Database is done primarily via the command line (maprcli) or with the Managed Control System (MCS). Regardless of whether the HPE Ezmeral Data Fabric Database table is used for binary files or JSON documents, the same types of commands are used with slightly different parameter options. HPE Ezmeral Data Fabric Database administration is associated with tables, columns and column families, and table regions.
- Administering Streams
- Administering Data Fabric Gateways
  A HPE Ezmeral Data Fabric gateway mediates one-way communication between a source HPE Ezmeral Data Fabric cluster and a destination cluster. You can replicate HPE Ezmeral Data Fabric Database tables (binary and JSON) and HPE Ezmeral Data Fabric Streams streams. HPE Ezmeral Data Fabric gateways also apply updates from JSON tables to their secondary indexes and propagate Change Data Capture (CDC) logs.
- Administering Services
  - Managing Services
    Synopsis on managing services.
  - Setting Up Central Configuration from the Command-Line
    Describes the concept of a central location where customized data-fabric configuration files for data-fabric services are stored.
    - Using Central Configuration
      Lists the steps to configure and use central configuration of files.
    - Scenario
      Lists an example scenario to demonstrate customized configuration for a 8-node cluster.
      - Step 1. Create a customized configuration file and copy it to a volume
        Use the CLI to create a customized configuration file and copy it to a volume.
      - Step 2. Create a node-specific configuration file and copy it to a volume
        Use the CLI to create a node-specific configuration file and copy it to a volume.
      - Step 3. Verify the changes
        Explains the use of the pullcentralconfig script in verifying file changes.
    - About the pullcentralconfig Script
      Provides a brief synopsis about the pullcentralconfig script.
    - Listing the Configuration Files for Each Service
      Explains how to use the CLI to list all the configuration files for each service.
    - Disabling Automatic Central Configuration
      Explains how to stop automatic runs of the pullcentralconfig script.
  - Viewing CLDB Information
    Describes how to view CLDB information from the CLDB page, and provides an explanation of each field that the page displays.
  - Managing Drill
    Provides a short description on managing Drill services.
  - Managing the HPE Ezmeral Data Fabric NFS Service
    Provides an overview of managing the NFS for the HPE Ezmeral Data Fabric service on a licensed cluster.
  - Managing HPE Ezmeral Data Fabric POSIX Clients
    Provides a brief synopsis of HPE Ezmeral Data Fabric POSIX clients.
  - Managing the MAST Gateway
  - Configuring YARN for Control Groups
    Control groups (cgroups) are a Linux kernel feature available through the LinuxContainerExecutor program that you can configure to limit and monitor the CPU resources available to YARN container processes on a node.
  - Configuring NodeManager Restart
  - Managing Jobs and Applications
- Monitoring the Cluster
  This section describes how to monitor the health and performance of a MapR cluster.
- Configuring Security
  Describes how to configure security and manage secure clusters.
- Managing Secure Clusters
  Provides procedures that will enable you to use MapR clusters securely.
- Administering the Data Access Gateway
  The HPE Ezmeral Data Fabric Data Access Gateway is a service that acts as a proxy and gateway for translating requests between lightweight client applications and the HPE Ezmeral Data Fabric cluster. This section describes considerations when upgrading the service, how to modify configuration settings, and how to administer and manage the service.
- Planning for High Availability
- Administrator's Reference
  This section contains in-depth reference information for the administrator.
- Troubleshooting Cluster Administration
  Lists the common errors and their solutions.
- Best Practices for Backing Up HPE Ezmeral Data Fabric Information
  Lists the best practices and performance considerations to follow when backing up HPE Ezmeral Data Fabric information.
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.

Step 1. Create a customized configuration file and copy it to a volume

Use the CLI to create a customized configuration file and copy it to a volume.

About this task

Complete the following steps to create a customized configuration file for host2 through host5 and copy it to the mapr.configuration volume:

Procedure

Make a copy of the existing default version of the mapred-site.xml file (so you can use it as a template), and store it in /tmp. You can perform this step on any node in the cluster that contains the configuration file.
```
cp /opt/mapr/hadoop/hadoop-2.7.0/etc/hadoop/mapred-site.xml /tmp/mapred-site.xml
```
Edit the copy and put in the changes you want for host2 through host5.
Create the directories required to store the file under /var/mapr/configuration/default.
```
hadoop fs -mkdir -p /var/mapr/configuration/default/hadoop/hadoop-2.7.0/etc/hadoop
```

Store the new configuration file in the /var/mapr/configuration/default directory.

hadoop fs -put /tmp/mapred-site.xml /var/mapr/configuration/default/hadoop/hadoop-2.7.0/etc/hadoop