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.
  - Managing Data with Volumes
    Provides an overview of how to manage volume data.
  - Managing Snapshots
    This section provide information about managing snapshots.
  - Managing User Disk Usage
  - Managing Schedules
    - Viewing the List of Schedules
      Explains how to view all the schedules using the Control System or the CLI.
    - Creating a Schedule
      Explains how to create a schedule using the Control System or the CLI.
    - Modifying a Schedule
      Explains how to modify a schedule using either the Control System or the CLI.
    - Selecting an Existing Schedule to Associate with a Volume
      Explains how to associate an existing schedule with a volume using the Control System, the CLI, or the REST API.
    - Removing one or more Schedules
      Describes how to remove schedules not associated with any volumes using either the Control System or the CLI.
  - Managing Tiers
  - Managing Storage Policies
  - Using Storage Labels
    Describes the Storage Labels feature.
- 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.
- 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.

Managing Schedules

A schedule is a group of rules that specify recurring points in time at which certain actions are determined to occur. You can use schedules to automate the creation of snapshots and mirrors and the offload of volume data to a storage tier; after you create a schedule, it appears as a choice in the scheduling menu when you are creating or editing a volume.

When you specify a snapshot schedule on a mirror volume, it specifies how often to take a snapshot of the mirror volume. This snapshot schedule is distinct from the snapshot schedule for the standard volume. A snapshot schedule for a promotable mirror volume has two purposes:

It specifies how often to take a snapshot of the mirror volume for the purpose of preserving the state of the mirror before a subsequent mirror operation. This way, if corrupt data is copied from the source volume's snapshot into the mirror volume, the mirror contents can be rolled back to the snapshot.
If the promotable mirror volume is promoted to a read-write volume, the snapshot schedule specified for the mirror is used for the promoted read-write volume. Once a mirror volume is promoted to a read-write volume, the mirror schedule is disabled.

A mirror schedule specifies how frequently the mirror volume is synchronized with the source volume. In case of a disaster (or any type of data loss on a read-write source volume), the data can be recovered from the mirror volume, but any data written to the source volume since the last successful mirror operation will not be on the mirror volume. Therefore, you should set the mirror schedule such that it meets your RPO (Recovery Point Objective).

A tier offload schedule specifies how frequently data in the volume on the MapR cluster is offloaded to the tiered storage. The MAST Gateway uses this setting to automatically offload data to the storage tier.

Schedules require the Enterprise Edition license.