HPE Ezmeral Data Fabric 6.1.x is In Maintenance and transitions to "End of Maintenance" in June 2024. Please see the latest documentation.

About MapR 6.1
This site contains the main documentation for Version 6.1 of the MapR Converged Data Platform, including installation, configuration, administration, and reference information.
6.1 Installation
This section contains information about installing and upgrading MapR software. It also contains information about how to migrate data and applications from an Apache Hadoop cluster to a MapR cluster.
6.1 MapR Data Platform
MapR Data Platform is the industry-leading data platform for AI and analytics that solves enterprise business needs.
- MapR XD Distributed File and Object Store
  MapR XD Distributed File and Object Store is a distributed file system for data storage, data management, and data protection. MapR XD 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 MapR 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.
    - Multitenancy on File System
      Describes what multitenancy is and how tenant data is kept private for each tenant.
  - Direct Access NFS
    Describes the MapR direct access file system.
  - POSIX Clients
    Describes the usage of MapR POSIX clients.
  - Copying Data from Apache Hadoop to a MapR Cluster
    Describes the procedure to copy data from an Apache Hadoop to a MapR cluster.
  - HPE Ezmeral Data Fabric PACC
    This container gives you seamless access to MapR Data Platform cluster services.
  - MapR Control System
    Provides a brief description of the MapR Control System.
  - Using MapR Data Platform Monitoring (Spyglass Initiative)
    MapR Data Platform Monitoring (part of the Spyglass initiative) provides the ability to collect, store, and view metrics and logs for nodes, services, and jobs/applications.
- MapR Database
  MapR Database is an enterprise-grade, high-performance, NoSQL database management system that you can use for real-time, operational analytics.
- MapR Event Store For Apache Kafka
  MapR Event Store For Apache Kafka brings integrated publish and subscribe messaging to the MapR Converged Data Platform.
- MapR Data Fabric for Kubernetes
  This section describes the MapR Data Fabric for Kubernetes, 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.
- Security
  Provides an overview of the MapR security features.
- YARN
- Client Connections
  The following sections describe how a client connects to local and remote MapR clusters.
6.1 Administration
This section describes how to manage the nodes and services that make up a cluster.
6.1 Development
This section contains information related to application development for Ezmeral ecosystem components and MapR Data Platform products, including the file system, Database (Key-Value and JSON), and Event Streams.
Other Docs
This section contains release-independent information, including: MapR Installer documentation, Ecosystem release notes, interoperability matrices, security vulnerabilities, and links to other MapR version documentation.
Glossary
Definitions for commonly used terms in MapR Converged Data Platform environments.

Storage Pools

Describes what storage pools are.

The MapR File System storage architecture consists of multiple storage pools that reside on each node in a cluster. A storage pool is made up of one or more disks grouped by the MapR file system. The default number of disks in a storage pool is three. The containers that hold the MapR filesystem data are stored in, and replicated among the storage pools in the cluster.

The following image represents disks grouped together to create storage pools that reside on a node:

Write operations within a storage pool are striped across disks to improve write performance. Stripe width and depth are configurable with the disksetup script. As the MapR filesystem performs data replication, you do not need to configure RAID.