About Release 8.0.0
This site contains documentation for HPE Data Fabric release 8.0.0, including installation, configuration, administration, and reference content, as well as content for the associated ecosystem components and drivers.
8.0.0 Installation
This section contains information about installing HPE 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.
8.0.0 Upgrade
This section describes how to upgrade HPE Data Fabric software.
8.0.0 Data Fabric
HPE Data Fabric is the industry-leading data platform for AI and analytics that solves enterprise business needs.
8.0.0 Administration
This section describes how to manage the nodes and services that make up a cluster.
8.0.0 Development
This section contains information related to application development for Ezmeral ecosystem components and HPE Data Fabric products, including the file system, Database (Key-Value and JSON), and Event Streams.
- Application Development Process
  Before you start developing applications on the HPE Data Fabric 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.
- File Store and Apps
  The following sections provide information about accessing the File Store with C and Java applications.
- HPE Data Fabric Database and Apps
  This section contains information about developing client applications for JSON and key-value tables.
- Apache Kafka Wire Protocol Service
  HPE Data Fabric Streams supports Apache Kafka Wire Protocol Service. Apache Kafka Wire Protocol Service is a TCP/IP service that emulates a Kafka cluster backed by HPE Data Fabric Streams. The service makes it possible for Apache Kafka clients written in any programming language to access topics in HPE Data Fabric Streams.
- Model Context Protocol (MCP)
- HPE Data Fabric Streams and Apps
  HPE Data Fabric Streams brings integrated publish and subscribe messaging to HPE Data Fabric.
- MapReduce and Apps
  This section contains information associated with developing YARN applications.
- Kubernetes Interfaces for Data Fabric
  This section describes how to leverage the capabilities of the Kubernetes Interfaces for Data Fabric.
- Ecosystem Components
  The following sections provide information about each open-source project that is supported by the HPE Data Fabric.
  - Ecosystem Packs
  - Apache Airflow
    This topic provides an overview of Apache Airflow on HPE Data Fabric.
  - AsyncHBase
  - Cascading
  - Apache Drill
  - Apache Flink
  - Hadoop
  - HBase
  - HBase Client and HPE Data Fabric Database Binary Tables
  - HCatalog
  - Hive
  - HttpFS
  - Hue
    - Hue Feature Support
    - Configure Hue
    - Integrate Hue
      - Integrate Hue with HPE Data Fabric Database Binary Tables
      - Integrate Hue with Hive
        Describes how to integrate Hue with Hive through settings in the hue.ini file.
        Configure Shared Hive Data and Metadata Directories for Hue
        Configure Separate Hive Data and Metadata Directories for Hue
      - Integrate Hue with Spark (Experimental Only)
      - Integrate Hue with Drill
        Starting in EEP 6.0, Drill is officially supported with Hue. When you integrate Drill with Hue, users can run Drill queries from the Hue interface and visualize data.
      - Integrate Hue With Spark
      - Integrate Hue with Relational Databases
    - Use Hue
      This section provides information about using Hue, but it does not duplicate the Hue documentation.
  - Livy
    Apache Livy is primarily used to provide integration between Hue and Spark.
  - HPE Data Fabric Streams Clients and Tools
    Describes the supported HPE Data Fabric Streams tools and clients.
  - NiFi
    This topic provides an overview of Apache NiFi on HPE Data Fabric.
  - OTel
    This topic provides an overview of OpenTelemetry on HPE Data Fabric.
  - Apache Polaris
  - Ranger
  - Apache Spark
  - YARN
  - Zeppelin
- Maven and the HPE Data Fabric
  This section discusses topics associated with Maven and the HPE Data Fabric.
- Developer's Reference
  This section contains in-depth information for the developer.
- API Documentation
  HPE Data Fabric supports public APIs for file system, HPE Data Fabric Database, and HPE Data Fabric Streams. These APIs are available for application-development purposes.
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.

Configure Separate Hive Data and Metadata Directories for Hue

About this task

If you want to store Hue data and metadata in separate directories from Hive data and metadata, follow these steps:

Procedure

Copy hive-site.xml to a new location. (The original hive-site.xml file remains in the previous location for use by Hive.)
Edit hue.ini and change the hive_conf_dir property so it points to the new location for hive-site.xml.
Change the hive.metastore.warehouse.dir property in the new hive-site.xml file so it points to the directory where Hue data will be located.
Change the hive.metastore.uris property so it points to the directory for Hue's metastore_db.

Set the hive.metastore.execute.setugi property to true.

<property>
  <name>hive.metastore.execute.setugi</name>
  <value>true</value>
  <description> Set this property to enable Hive Metastore service impersonation in non-secure mode.
   In non-secure mode, setting this property to true causes the metastore to execute DFS operations
   using the client's reported user and group permissions. Note that this property must be set on
   BOTH the client and server sides. </description>
</property>

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HPE Data Fabric 8.0.0 Software Documentation
Abstract	This site contains documentation for HPE Data Fabric Software version 8.0.0 including installation, configuration, administration, and reference content, as well as content for the associated bundled ecosystem components and drivers.
Published	June 2026
Edition	8.0.0