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.
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.
- Application Development Process
  Before you start developing applications on the MapR Data Platform platform, consider how you will get the data into the platform, the storage format of the data, the type of processing or modeling that is required, and how the data will be accessed.
- MapR XD and Apps
  The following sections provide information about accessing the MapR XD with C and Java applications.
- MapR Database and Apps
  This section contains information about developing client applications for JSON and key-value tables.
- MapR Event Store For Apache Kafka and Apps
  MapR Event Store For Apache Kafka brings integrated publish and subscribe messaging to MapR Data Platform.
- MapReduce and Apps
  This section contains information associated with developing YARN applications.
- MapR Data Science Refinery
  The MapR Data Science Refinery product is an easy-to-deploy and scalable data science toolkit with native access to all platform assets and superior out-of-the-box security.
- MapR Data Fabric for Kubernetes
  This section describes how to leverage the capabilities of the MapR Data Fabric for Kubernetes.
- Ecosystem Components
  The following sections provide information about each open-source project that is supported by the MapR Data Platform.
  - Ezmeral Ecosystem Packs
  - AsyncHBase
  - Cascading
  - Apache Drill
  - Flume
  - HBase
  - HBase Client and MapR Database Binary Tables
  - HCatalog
  - Hive
  - HttpFS
  - Hue
    - Hue Feature Support
    - Configure Hue
      - Configure General Hue Settings
        Enable User Impersonation for Hue
        Disable an Application in the Hue Interface (optional)
        Change the File Size Restriction for the File Browser (optional)
        Prevent Hue from Creating User Home Directories
        Describes how to disable the automatic creation of user home directories.
      - Configure Hue Interface Authentication
      - Configure Hue with DB Query
      - Configure the Hue Database
      - Configure Hue with Security
    - Integrate Hue
    - Use Hue
      This section provides information about using Hue, but it does not duplicate the Hue documentation.
    - Sqoop2
  - Impala
  - Livy
    Apache Livy is primarily used to provide integration between Hue and Spark.
  - MapR Event Store For Apache Kafka Clients and Tools
    Describes the supported MapR Event Store For Apache Kafka tools and clients.
  - S3 Gateway
    The S3 gateway is a service that provides an S3-compatible interface to expose data in MapR Data Platform as objects. The S3 gateway manages all inbound S3 API requests to put data into and get data out of cloud storage.
  - Myriad
  - Oozie
  - Pig
  - Sentry
  - Apache Spark
  - Sqoop
  - YARN
  - Zeppelin
- Maven and MapR
  This section discusses topics associated with Maven and MapR.
- Developer's Reference
  This section contains in-depth information for the developer.
- API Documentation
  MapR Data Platform supports public APIs for MapR File System, MapR Database, and MapR Event Store For Apache Kafka. These APIs are available for application-development purposes.
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.

Enable User Impersonation for Hue

About this task

To enable Hue to submit requests on behalf of any other user, complete the following steps:

Procedure

Verify or configure the following lines to the /opt/mapr/hadoop/hadoop-<version>/etc/hadoop/core-site.xml file for all nodes running ResourceManager:

<property>
  <name>hadoop.proxyuser.<default_user>.hosts</name>
  <value>*</value>
</property>
  
<property>
  <name>hadoop.proxyuser.<default_user>.groups</name>
  <value>*</value>
</property>

To enable the Hue file browser to view files in the MapR filesystem, add the following proxy user settings in the configuration block of the httpfs-site.xml:

<!-- Hue HttpFS proxy user setting -->
<configuration>
  <property>
    <name>httpfs.proxyuser.<default_user>.hosts</name>
    <value>*</value>
  </property>
  
  <property>
    <name>httpfs.proxyuser.<default_user>.groups</name>
    <value>*</value>
  </property>
</configuration>

Perform any additional Hue configurations and then restart Hue so that the changes will take effect. See Starting the Hue Webserver.
In most cases, mapr is the <default_user>. The <default_user> you specify must also be the default_user that is configured in the [desktop] section of the hue.ini.
NOTE Based on the ecosystem components that you want to use, addition configuration may be required.