About Release 7.9.0
This site contains documentation for HPE Ezmeral Data Fabric release 7.9.0, including installation, configuration, administration, and reference content, as well as content for the associated ecosystem components and drivers.
7.9.0 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.
7.9.0 Data Fabric
HPE Ezmeral Data Fabric is the industry-leading data platform for AI and analytics that solves enterprise business needs.
- HPE Ezmeral Data Fabric File Store
  HPE Ezmeral Data Fabric File Store is a distributed file system for data storage, data management, and data protection. File Store supports mounting and cluster access via NFS and FUSE-based POSIX clients (basic, platinum, or PACC) and also supports access and management via HDFS APIs.
  - File System
    Discusses the features of the Data Fabric distributed file system and compares it to the Hadoop Distributed File System (HDFS).
    - Storage Pools
      Describes what storage pools are.
    - Containers and the CLDB
      Describes what containers are, and the role of the Container Location Database (CLDB) in managing them.
    - Volumes, Snapshots, and Mirrors
      Describes what Snapshots and Mirrors are, and the advantages of using them for replication.
      - Types of Volumes
        Lists the various types of volumes.
      - Volume Topology
        Describes what volume topology is, and the topology of replicas and mirrors.
      - Authorization with Volumes: Intelligent Policy Management
        Describes methods to manage volume permissions.
      - Mirror Volumes
        Provides a synopsis of what mirror volumes are and the mirroring process.
        Mirror Types
        Explains the available mirror types.
        Local Mirroring
        Describes the use of local mirror volumes. The local mirror volume and its source are present on the same cluster,
        Remote Mirroring
        Describes the concept and purpose of remote mirror volumes.
        Mirror Cascades
        Describes what mirror cascades are, and their advantages.
        Promotable Mirrors
        Explains the use of promotable mirrors for enhanced performance, data recovery, and business continuity.
        Incorporating Mirror Volumes into a Disaster Recovery Plan
        Lists the points to note when incorporating mirror volumes into a disaster recovery plan.
      - Data Tiering
        Provides an overview of what tiering is, its various types, and how it works in the HPE Ezmeral Data Fabric.
      - Restoring a Volume From a Snapshot
        Provides a synopsis of restoring a volume from a snapshot. Describes the implications, and the prerequisites.
      - Tuning Last Access Time
        Provides an overview of the Last Access Time feature and its tuning.
    - Multitenancy on File System
      Describes what multitenancy is and how tenant data is kept private for each tenant.
  - Direct Access NFS
    Describes the Data Fabric direct access file system.
  - POSIX Clients
    Describes the usage of Data Fabric POSIX clients.
  - Copying Data from Apache Hadoop to a Data Fabric Cluster
    Describes the procedure to copy data from an Apache Hadoop to a Data Fabric cluster.
  - PACC
    This container gives you seamless access to HPE Ezmeral Data Fabric cluster services.
  - HPE Ezmeral Data Fabric Control System
    Provides a brief description of the HPE Ezmeral Data Fabric Control System.
  - Using HPE Ezmeral Data Fabric Monitoring (Spyglass Initiative)
    HPE Ezmeral Data Fabric Monitoring (part of the Spyglass initiative) provides the ability to collect, store, and view metrics and logs for nodes, services, and jobs/applications.
- HPE Ezmeral Data Fabric Object Store
  The HPE Ezmeral Data Fabric Object Store is a native object storage solution that efficiently stores objects and metadata for optimized access.
- HPE Ezmeral Data Fabric Database
  HPE Ezmeral Data Fabric Database is an enterprise-grade, high-performance, NoSQL database management system that you can use for real-time, operational analytics.
- HPE Ezmeral Data Fabric Streams
  HPE Ezmeral Data Fabric Streams brings integrated publish and subscribe messaging to the HPE Ezmeral Data Fabric.
- HPE Ezmeral Unified Analytics
  Describes the HPE Ezmeral Unified Analytics Software and provides a link to more information.
- Kubernetes Interfaces for Data Fabric
  This section describes the Kubernetes Interfaces for Data Fabric, which include the Container Storage Interface (CSI) driver for multiple container-orchestration systems, and the FlexVolume driver for Kubernetes.
- Cluster Management
  Provides a synopsis of the various cluster components and their management.
- Performance
  Describes how to tune system performance, manage RDMA, and optimize CLDB tables.
- Security
  Provides an overview of the Data Fabric security features.
- YARN
- Client Connections
  The following sections describe how a client connects to local and remote data-fabric clusters.
7.9.0 Administration
This section describes how to manage the nodes and services that make up a cluster.
7.9.0 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.

Mirror Cascades

Describes what mirror cascades are, and their advantages.

In a cascade, one mirror synchronizes to the source volume, and each successive mirror uses a previous mirror as its source. Mirror cascades are useful for propagating data over a distance, then re-propagating the data locally instead of transferring the same data remotely again for each copy of the mirror. In the following example, the < character indicates a mirror's source:

/ < mirror1 < mirror2 < mirror3

A mirror cascade makes more efficient use of your cluster's network bandwidth, but synchronization can be slower to propagate through the chain. For cases where synchronization of mirrors is a higher priority than network bandwidth optimization, make each mirror read directly from the source volume:

mirror1 >   < mirror2
          /  
mirror3 >   < mirror4

You can:

Create a mirror cascade by setting the source volume of each mirror in the Properties tab of the Control System when creating a mirror volume.
Break a mirror cascade made from existing mirror volumes by changing the source volume of each mirror in the Properties tab of the Control System when editing the mirror volume.

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HPE Ezmeral Data Fabric – Customer-Managed 7.9.0 Documentation
Abstract	This site contains documentation for the customer-managed platform of the HPE Ezmeral Data Fabric version 7.9.0 including installation, configuration, administration, and reference content, as well as content for the associated bundled ecosystem components and drivers.
Published	November 2024
Edition	7.9.0