About Release 7.10.0
This site contains documentation for HPE Ezmeral Data Fabric release 7.10.0, including installation, configuration, administration, and reference content, as well as content for the associated ecosystem components and drivers.
7.10.0 Installation
This section contains information about installing 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.
7.10.0 Upgrade
This section describes how to upgrade HPE Ezmeral Data Fabric software.
7.10.0 Data Fabric
HPE Ezmeral Data Fabric is the industry-leading data platform for AI and analytics that solves enterprise business needs.
7.10.0 Administration
This section describes how to manage the nodes and services that make up a cluster.
- Working with Multiple Fabrics Using the Data Fabric UI
  This section describes how you can get started learning about, installing, and using the HPE Ezmeral Data Fabric.
- 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
- 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 Data Fabric 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.
  - maprcli and REST API Syntax
    This section provides information about the HPE Ezmeral Data Fabric command API. Most commands can be run on the command-line interface (CLI), or by making REST requests programmatically or in a browser.
  - MinIO Client (mc) Commands
    Lists mc commands that you can use to perform operations, such as creating and editing buckets and accounts in HPE Ezmeral Data Fabric Object Store.
  - Utilities
    Contains information about various scripts and utilities, that help setup, maintain, and monitor clusters.
  - Configuration Files
    This section contains reference information about various configuration files.
  - Alarms Reference
    The pages in this section provide details about all of the types of alarms.
  - HPE Ezmeral Data Fabric Environment
    This section provides information associated with the Data Fabric environment.
    - HPE Ezmeral Data Fabric Parameters
      Describes Data Fabric parameters and their default values.
    - Default HPE Ezmeral Data Fabric Configurations
      Lists sources from which default Data Fabric configuration parameters are derived.
    - Environment Variables
      Describes the environment variables specific to the HPE Ezmeral Data Fabric.
    - Ports Used by HPE Ezmeral Data Fabric Software
      Lists the ports used by Data Fabric services.
    - Log Files
      Lists the log files for each HPE Ezmeral Data Fabric component.
      - Increasing Log Retention
      - Setting the Tracing Level
      - Configuring Profiling for Operations
      - Archiving CLDB Logs
      - Enabling Runtime Logging
      - Viewing Audit Logs
      - Viewing Application Logs
        Logging Options
        YARN Log Aggregation
        Centralized Logging
        Describes the centralized logging feature of HPE Ezmeral Data Fabric.
        Managing Centralized Logs for MapReduce Version 2 Applications
        Enabling Centralized Logging for MapReduce Version 2
        Describes how to enable central logging for MapReduce version 2 applications.
        Configuring Log Retention Time for MapReduce Version 2 Applications
        Lists the parameter that controls the log retention time for MapReduce applications.
        Viewing Logs for Completed MapReduce Version 2 Applications
      - Viewing the Service Log
        Esplains how to view service logs using Kibana.
    - Cluster Maintenance Schedule
      Lists a sample maintenance schedule for the cluster.
    - Language Support for HPE Ezmeral Data Fabric Database Tables
      This section lists the human languages that HPE Ezmeral Data Fabric tables can store, retrieve, and process.
- 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.
- IPv6 Support in Data Fabric
  Describes the IPv6 support feature for Data Fabric.
7.10.0 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.

Enabling Centralized Logging for MapReduce Version 2

Describes how to enable central logging for MapReduce version 2 applications.

About this task

As of MapR version 4.0.2, you can use centralized logging for MapReduce version 2 applications. However, this feature is disabled by default. In MapR version 4.0.1, centralized logging is not supported for MapReduce version 2 applications.

Procedure

Configure the yarn.use-central-logging-for-mapreduce-only property in the yarn-site.xml file to enable or disable centralized logging.

The yarn-site.xml file is located in the following directory: /opt/mapr/hadoop/hadoop-2.x.x/etc/hadoop/.

To disable centralized logging, remove the property yarn.use-central-logging-for-mapreduce-only from the yarn-site.xml file, or set the value of yarn.use-central-logging-for-mapreduce-only to false in the yarn-site.xml file.
To enable centralized logging, set the value of yarn.use-central-logging-for-mapreduce-only to true in the yarn-site.xml file. If you enable centralized logging while applications are running, restart all ResourceManagers. In a production cluster, restart ResoureManagers one at a time to prevent interruption to the running applications. The applications running during this process may not have centralized logging enabled.

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HPE Ezmeral Data Fabric 7.10.0 Documentation
Abstract	This site contains documentation for the customer-managed platform of the HPE Ezmeral Data Fabric version 7.10.0 including installation, configuration, administration, and reference content, as well as content for the associated bundled ecosystem components and drivers.
Published	October 2025
Edition	7.10.0
Topic last updated	2022-07-05