About Release 8.0.0
This site contains documentation for HPE Data Fabric release 8.0.0, including installation, configuration, administration, and reference content, as well as content for the associated ecosystem components and drivers.
8.0.0 Installation
This section contains information about installing HPE 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.
8.0.0 Upgrade
This section describes how to upgrade HPE Data Fabric software.
8.0.0 Data Fabric
HPE Data Fabric is the industry-leading data platform for AI and analytics that solves enterprise business needs.
8.0.0 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 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 Data Fabric clusters.
- Administering Files and Directories
- Administering Tables
  Administration of the HPE Data Fabric Database is done primarily via the command line (maprcli) or with the Managed Control System (MCS). Regardless of whether the HPE 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 Data Fabric Database administration is associated with tables, columns and column families, and table regions.
- Administering Streams
- Administering Data Fabric Gateways
  A HPE Data Fabric gateway mediates one-way communication between a source HPE Data Fabric cluster and a destination cluster. You can replicate HPE Data Fabric Database tables (binary and JSON) and HPE Data Fabric Streams streams. HPE 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 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 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
  - CLDB Failover
    Explains the concept of CLDB failover, and its advantages.
  - Best Practices for Running a Highly Available Cluster
    Lists high availability cluster replication types, and the best practices for running such a cluster.
  - ResourceManager High Availability
    Provides an overview of how high availability for Resource Manager works.
- 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 Data Fabric Information
  Lists the best practices and performance considerations to follow when backing up HPE Data Fabric information.
- IPv6 Support in Data Fabric
  Describes the IPv6 support feature for Data Fabric.
8.0.0 Development
This section contains information related to application development for Ezmeral ecosystem components and HPE 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.

Configuring Manual Failover for the ResourceManager

About this task

To configure manual failover, specify multiple ResourceManagers when you run configure.sh on each node in the cluster and then edit yarn-site.xml to disable automatic failover.

Procedure

Specify multiple ResourceManagers when you run configure.sh on each cluster and client node. The following the configure.sh script syntax configures three ResourceManager nodes (one active and two standby):
```
/opt/mapr/server/configure.sh -C <CLDB node list> -Z <ZK node list> -RM <hostname1,hostname2,hostname3> -HS <hostname1> [additional parameters]
```
NOTE
After you run configure.sh, each ResourceManager node contains a different value for the yarn.resourcemanager.ha.id property in the yarn-site.xml.
Disable the following automatic failover properties in the yarn-site.xml on each node with the ResourceManager role:
- yarn.resourcemanager.ha.automatic-failover.enabled
- yarn.resourcemanager.ha.automatic-failover.embedded
Restart the ResourceManager service. For more information, see Restarting the Services.

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HPE Data Fabric 8.0.0 Software Documentation
Abstract	This site contains documentation for HPE Data Fabric Software version 8.0.0 including installation, configuration, administration, and reference content, as well as content for the associated bundled ecosystem components and drivers.
Published	December 2025
Edition	8.0.0