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6.0 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.
Upgrading MapR Core or MEP Components
Depending on your current configuration, you may choose to upgrade the MapR version (MapR Core), ecosystem components, clients, or MapR Monitoring components.
Upgrading MapR Core
Describes the process of upgrading MapR Core.
Preparing to Upgrade MapR Core
Complete these pre-upgrade steps for MapR Core.
Migrating between Apache HBase and MapR-DB Binary Tables
If you were previously using HBase tables on your cluster, prepare your cluster to use MapR-DB binary tables in MapR 6.0 or later.
Before You Start

MapR 6.0 Documentation

6.0 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.
- Planning the Cluster
  Describes information and factors used in planning your cluster.
- Installing MapR and/or MapR Ecosystem Components
  Describes how to install MapR software and ecosystem components with the MapR Installer or without the MapR Installer.
- Installing the File Migration Service on the Edge Cluster
- Installing MapR-XD
  Describes how to install MapR-XD software with or without the MapR Installer.
- Installing MapR Data Fabric for Kubernetes
  This section describes how to plan for, install, and upgrade the MapR Container Storage Interface (CSI) Storage Plugin and MapR Data Fabric for Kubernetes FlexVolume Driver.
- Installing MapR in the Cloud
  Provides an overview of MapR cloud installer capabilities.
- Upgrading MapR Core or MEP Components
  Depending on your current configuration, you may choose to upgrade the MapR version (MapR Core), ecosystem components, clients, or MapR Monitoring components.
  - Upgrading MapR Core
    Describes the process of upgrading MapR Core.
    - Upgrading and Your License
      If you are upgrading from MapR version 5.0 or earlier, the Base License file must be manually updated on all nodes in your cluster.
    - MapR Core Upgrade Process
      When you upgrade MapR Core, you will also upgrade a number of cluster components.
    - Planning Your MapR Core Upgrade
      This section describes how to develop a successful plan for your upgrade process.
    - Preparing to Upgrade MapR Core
      Complete these pre-upgrade steps for MapR Core.
      - Migrating from MapReduce Version 1 to MapReduce Version 2
        If you previously ran MRv1 jobs on your cluster, prepare your cluster to run YARN applications in MapR 6.0 or later.
      - Migrating between Apache HBase and MapR-DB Binary Tables
        If you were previously using HBase tables on your cluster, prepare your cluster to use MapR-DB binary tables in MapR 6.0 or later.
        Before You Start
        Mapping to HBase Table Namespaces
        This section describes mapping table namespaces between Apache HBase tables and MapR-DB binary tables.
        Compression Mappings
        Copying Data
        Verifying Migration
        Decommissioning Apache HBase Nodes
    - Upgrading MapR Core With the MapR Installer
      If the cluster that you want to upgrade was installed using the MapR Installer, use the MapR Installer to upgrade MapR core.
    - Upgrading MapR Core Without the MapR Installer
      You can upgrade MapR Core without using the MapR Installer.
    - Finishing the MapR Core Upgrade
      This section provides post-upgrade steps for MapR Core.
  - Upgrading MapR Ecosystem Packs
    Describes how to upgrade MapR Ecosystem Packs (MEPs), either as part of a MapR Core upgrade or to take advantage of a new MEP for the current version of MapR Core.
  - Preparing the Cluster for a Maintenance Update
    This section identifies how to prepare for applying either a minor update or a patch.
  - Performing a Maintenance Update
    Perform a maintenance update when you want to upgrade to a new patch version of MapR Core or apply a patch.
- Setting Up Clients
  Describes how to set up and use interfaces to a MapR cluster from a client computer.
- Setting Up the MapR Control System
  Describes how to configure and access the MapR Control System (MCS).
- Migrating to MapR
  Provides instructions for migrating business-critical data and applications from an Apache Hadoop cluster to a MapR cluster.
- Applying a Patch
  You can apply a patch by using the MapR Installer, by using the command line (a manual process), or by using a MapR Installer Stanza.

Before You Start

Before migrating your tables to another platform, consider the following points:

Schema Changes. Apache HBase and MapR-DB binary tables have different limits on the number of column families. When you are migrating to MapR-DB binary tables, you may be interested in changing your table's schema to take advantage of the increased availability of column families.
API Mappings: When you are migrating from Apache HBase to MapR-DB tables, examine your current HBase applications to verify the APIs and HBase Shell commands used are fully supported.
Namespace Mapping: If the migration will take place over a period of time, be sure to plan your table namespace mappings in advance to ease the transition. See Mapping to HBase Table Namespaces for more information.
Implementation Limitations: MapR-DB binary tables do not support HBase coprocessors. If your existing Apache HBase installation uses coprocessors, plan any necessary modifications in advance. MapR-DB binary tables support a subset of the regular expressions supported in Apache HBase. Check your existing workflow and HBase applications to verify you are not using unsupported regular expressions.

When migrating to MapR-DB binary tables, change your Apache HBase client to the MapR client by installing the version of the mapr-hbase package that matches the version of Apache HBase on your source cluster.

See Installing MapR Software for information about MapR installation procedures, including setting up the proper repositories.