MapR 5.2 is at End of Life (EOL) and no longer supported. Please see the latest documentation. This documentation is not being updated.

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5.2 Installation
This section contains information on installing and upgrading MapR. It also contains information on how to migrate data and applications from an Apache Hadoop cluster to a MapR cluster.
Upgrading MapR 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 Expansion Packs
Describes how to upgrade MapR Expansion Packs (MEP), either as part of a MapR Core upgrade or to take advantage of a new MEP for the current version of MapR Core.
Upgrading the MEP Without the MapR Installer
After you upgrade MapR core without using the MapR Installer, you need to upgrade ecosystems components with manual steps. First, verify that your repository is configured to use a MapR Expansion Pack (MEP) that is supported by your cluster version. Then, upgrade each component manually.
Upgrading Spark Standalone
This section describes how to upgrade Spark Standalone without the MapR Installer.

MapR 5.2 Documentation

5.2 Installation
This section contains information on installing and upgrading MapR. It also contains information on how to migrate data and applications from an Apache Hadoop cluster to a MapR cluster.
- Installing MapR or MEP Components
  Describes how to install MapR software and MapR Expansion Pack (MEP) components with the MapR Installer or without the MapR Installer.
- Installing MapR-XD
  Describes how to install MapR-XD software with or without the MapR Installer.
- Installing MapR in the Cloud
  Provides an overview of MapR cloud installer capabilities.
- Upgrading MapR 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 MapR Expansion Packs
    Describes how to upgrade MapR Expansion Packs (MEP), either as part of a MapR Core upgrade or to take advantage of a new MEP for the current version of MapR Core.
    - Planning MapR Expansion Pack (MEP) Upgrades
      The set of Ecosystem components that you run in the cluster must all belong to the same MEP.
    - Preparing to Upgrade the MEP
      Complete these pre-upgrade steps for each component in the MapR Expansion Pack (MEP) that you want to upgrade.
    - Upgrading the MEP With the MapR Installer
      If the cluster that you want to upgrade was installed using the MapR Installer, you can use the MapR Installer to upgrade the MapR Expansion Pack (MEP).
    - Upgrading the MEP Without the MapR Installer
      After you upgrade MapR core without using the MapR Installer, you need to upgrade ecosystems components with manual steps. First, verify that your repository is configured to use a MapR Expansion Pack (MEP) that is supported by your cluster version. Then, upgrade each component manually.
      - Upgrading AsyncHBase Libraries
        This section describes how to upgrade the AsyncHBase Libraries without the MapR Installer.
      - Upgrading Drill
        This section describes how to upgrade Drill without the MapR Installer.
      - Upgrading Flume
        This section describes how to upgrade Flume without the MapR Installer.
      - Upgrading HBase
        This section describes how to upgrade HBase without the MapR Installer.
      - Upgrading Hive
        This section describes how to upgrade Hive without the MapR Installer.
      - Upgrading HttpFS
        This section describes how to upgrade HttpFS without the MapR Installer.
      - Upgrading Hue
        This section describes how to upgrade Hue without the MapR Installer.
      - Upgrading Impala
      - Upgrading Mahout
        This section describes how to upgrade Mahout without the MapR Installer.
      - Upgrading MapR Monitoring
        Complete the following steps to upgrade MapR Monitoring without the MapR Installer.
      - Upgrading MapR Streams Tools
        This section describes how to upgrade MapR Streams Tools without the MapR Installer.
      - Upgrading the MapR-ES Python Client
        This section describes how to upgrade the MapR-ES Python Client without the MapR Installer.
      - Upgrading Oozie
        This section describes how to upgrade Oozie without the MapR Installer.
      - Upgrading Pig
        This section describes how to upgrade Pig without the MapR Installer.
      - Upgrading Sentry
        This section describes how to upgrade Sentry without the MapR Installer.
      - Upgrading Spark Standalone
        This section describes how to upgrade Spark Standalone without the MapR Installer.
      - Upgrading Spark on YARN
        This section describes how to upgrade Spark on YARN without the MapR Installer.
      - Upgrading Sqoop1
        This section describes how to upgrade Sqoop1 without the MapR Installer.
      - Upgrading Sqoop2
        This section describes how to upgrade Sqoop2 without the MapR Installer.
      - Upgrading Storm
        This section describes how to upgrade Storm without the MapR Installer.
      - Upgrading Tez
        This section describes how to upgrade Tez without the MapR Installer.
    - Finishing the MEP Upgrade
      Complete the post-upgrade steps for each ecosystem component that was upgraded.
- 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.

Upgrading Spark Standalone

This section describes how to upgrade Spark Standalone without the MapR Installer.

About this task

Procedure

Install the Spark packages.

On Ubuntu:

apt-get install mapr-spark mapr-spark-master mapr-spark-historyserver

On RedHat/CentOS:

yum update mapr-spark mapr-spark-master mapr-spark-historyserver

On SUSE:

zypper upgrade mapr-spark mapr-spark-master mapr-spark-historyserver