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
- 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.
  - 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.
  - 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.
      - 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.
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.

Viewing Application Logs

You can use logs to view the status and analyze the execution of applications in a cluster.

To view the status or to access logs for running applications, you can use the user interface associated with the YARN framework.

For MapReduce version 2 or non-MapReduce applications, access the ResourceManager user interface from the Control System to view the status and logs for a particular application.

For completed applications, the distributed nature of YARN frameworks can make analyzing the execution of applications difficult because tasks and containers are scattered throughout the cluster. Without centralized or aggregated logging, you must manually access all the log files for a completed application by merging the log details for a particular application across multiple nodes in the cluster. With centralized or aggregated logging, you can can access all the logs for a completed application in a centralized location. However, the steps to access logs for completed applications differ based on the configured logging option.