About Release 8.2.0
This site contains documentation for HPE Data Fabric release 8.2.0, including installation, configuration, administration, and reference content, as well as content for the associated ecosystem components and drivers.
8.2.0 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.
8.2.0 Upgrade
This section describes how to upgrade HPE Data Fabric software.
8.2.0 Data Fabric
HPE Data Fabric is the industry-leading data platform for AI and analytics that solves enterprise business needs.
8.2.0 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.
  - Managing Data with Volumes
    Provides an overview of how to manage volume data.
    - Viewing the List of Volumes
      Explains how to view the list of volumes either through the Control Panel or the CLI.
    - Creating a Volume
      Describes how to create a volume using the Control System, CLI and the REST API.
    - Viewing Volume Information
      Describes how to view volume information using either the Control System or the CLI.
    - Removing Volumes
      Explains how to remove a volume using either the Control System or the CLI.
    - Modifying Multiple Volumes
      Explains how to modify volumes using either the Control System or the CLI.
    - Modifying a Volume
      Describes how to edit volume properties using the Control System, CLI and the REST API.
    - Renaming a Volume
      Describes how to rename a volume using the Control System, CLI or the REST API.
    - Manage a Label
      Describes how to apply a storage label to a volume using the Control System.
    - Manage a Namespace Label
      Describes how to apply a label to a namespace container of a volume using the Control System.
    - Specifying Volume Inheritance Using the CLI
      Lists volume properties that can be inherited from other volumes.
    - Setting Data ACEs
      Describes how to set ACEs using both the GUI and the CLI.
    - Changing or Setting Mount Information for a Volume
      Describes how to set the mount path for a volume using either the Control System, the CLI, or the REST API.
    - Changing Volume Type
    - Selecting a Replication Type for High Availability
      Describes replication types for high-availability clusters, and the tradeoffs of using them.
    - Setting or Modifying Quota for a Volume
      Describes how to set or modify a quota for a volume.
    - Migrating a Volume off a Node Using the CLI
    - Setting Up Volume Topology
      Specifies how to use volume topology to place volumes on specific racks, nodes, or groups of nodes.
    - Viewing Active Volume Alarms
      Describes how to view volume alarms using the Control System and the CLI.
    - Working with Mirror Volumes
    - Enabling and Restricting Access to Tenant Volume and Data
      Describes how to restrict access to tenant volumes in a multi-tenant environment.
    - Working with Tiered Volumes
      - Erasure Coding Scheme for Data Protection and Recovery
        Describes the erasure coding (EC) schemes for data protection and recovery.
      - Specifying a Schedule for Offloading Data
        Explains how to create a schedule for automatic offloading of data, using the Control System, the CLI and the REST API.
      - Creating a Tiering-Enabled Volume
      - Associating a Tier Tiering Rule with a Volume
      - Determining if a Volume is Enabled for Tiering
      - Offloading a Volume to a Tier
        Explains how to offload a volume to a tier using either the Control System, the CLI, or the REST API.
      - Recalling a Volume to file system
        Explains how to recall offloaded data to the file system.
      - Viewing the List of Running Jobs
      - Terminating a Running Volume-Level Tiering Job
        Describes how to terminate a volume-level tiering job using either the Control System or the CLI.
      - Retrying Failed Operation
      - Running the Compactor Using the CLI and REST API
      - Retrieving the Status of a Volume-level Tiering Operation
      - Retrieving Tiering Statistics Using guts
        Explains how to use the guts utility to retrieve tiering statistics.
      - Moving back end Volume from the Command Line
      - Inline Erasure Coding
        Explains inline erasure coding.
      - Non-inline Erasure Coding Vs Inline Erasure Coding
        Comparison between non-inline erasure coding/scheduled tiering and inline erasure coding/instant tiering.
    - Using Volume Links for Read and Write Operations
  - Managing Snapshots
    This section provide information about managing snapshots.
  - Managing User Disk Usage
  - Managing Schedules
  - Managing Tiers
  - Managing Storage Policies
  - Using Storage Labels
    Describes the Storage Labels feature.
- 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
- 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.
- Moving Objects Across Fabrics and from AWS S3 to Fabric
  Describes how objects are moved or transferred across buckets from one fabric to another or from Amazon S3 to Data Fabric.
8.2.0 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.

Inline Erasure Coding

Explains inline erasure coding.

Inline erasure coding is an erasure coding mechanism to write data to the backup volume at the earliest possible time, rather than waiting for scheduled or manual offloads to happen on the volume. Inline erasure coding reduces the amount of storage that needs to be provisioned for front-end volumes. Inline erasure coding is referred to as instant tiering.

Inline erasure coding is a process where the data on the tiered front-end volume is continuously erasure-coded and written to the backend erasure-coded (EC) volume.

Data Fabric supports inline erasure coding for S3 bucket volumes only.

Objects ingested in s3 bucket are stored in a S3 bucket volume configured for erasure coding. Subsequently, data from the S3 bucket volume is erasure coded and stored in the corresponding EC back-end volume, thereby freeing up space from S3 bucket volume.

Inline erasure coding can be configured at two levels:

Cluster level. When you enable inline erasure coding at the cluster/fabric level, inline erasure coding is enabled for every bucket created afterward. If inline erasure feauture is enabled and ec_scheme storage_class label is attached to the S3 account, all the buckets created tagged to the corresponding S3 account are created as inline EC S3 buckets.
cluster level

See Non-inline Erasure Coding Vs Inline Erasure Coding for a comparison between erasure coding and inline

NOTE

To migrate existing scheduled EC buckets to Inline Erasure Coding, see Migrating S3 buckets to Inline Erasure Coding (IEC) buckets.

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HPE Data Fabric 8.2.0 Software Documentation
Abstract	This site contains documentation for HPE Data Fabric Software version 8.2.0 including installation, configuration, administration, and reference content, as well as content for the associated bundled ecosystem components and drivers.
Published	October 2026
Edition	8.2.0
Topic last updated	2026-10-13