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
    - Getting Started with Hive
    - Configuring Hive
    - Integrating Hive
      - Hive and HPE Data Fabric Database Integration
        Install and Configure Hive
        Getting Started with Hive and HPE Data Fabric Database Binary Integration
        Optimizing HPE Data Fabric Database Tables Search by ID
        Starting from the 1904 release (EEP 6.0.2, EEP 6.1.1, and EEP 6.2.0), search by ID is supported with Hive HPE Data Fabric Database JSON tables.
        Connecting Using Hive HPE Data Fabric Database JSON Connector
        This section describes the Hive connector for HPE Data Fabric Database JSON table.
        Understanding the UPDATE Statement
        Starting with EEP 6.0.0 (Hive 2.3), EEP 5.0.1 (Hive 2.1), EEP 4.1.2, and EEP 3.0.4, the UPDATE statement is supported with Hive HPE Data Fabric Database JSON tables.
        Updating Primitive Data Types
        This section describes how to use the UPDATE statement to update primitive data types in HPE Data Fabric Database JSON tables, using the Hive connector.
        Updating Complex Data Types
        This section describes how to use the UPDATE statement to update complex data types in HPE Data Fabric Database JSON tables, using the Hive connector.
        Updating Complex Nested Data Types
        This section describes how to use the UPDATE statement to update complex nested data types in HPE Data Fabric Database JSON tables, using the Hive connector.
        UPDATE Statement Limitations
        This section describes the features that the UPDATE statement does not support.
        Understanding the INSERT INTO Statement
        This section describes how to use the INSERT INTO statement to insert or overwrite rows in nested HPE Data Fabric Database JSON tables, using the Hive connector.
        Understanding the MERGE Statement
        You can use the MERGE statement to perform record-level INSERT and UPDATE operations efficiently within Hive tables.
        Understanding the DELETE FROM Operation
        In EEP 6.3.1 and later, you can use the DELETE FROM operation with HPE Data Fabric Database JSON tables.
      - Hive and HBase Integration
      - Hive and HPL/SQL Integration
      - Hive and HCatalog Integration
      - Hive and WebHCat Integration
      - Hive and Tez Integration
        You can use Tez, instead of MapReduce, for generic data processing tasks. Tez significantly increases the processing speed. Tez, working with Hive, provides lower latency for interactive queries and higher throughput for batch queries.
    - Managing Hive Services
    - Connecting to Hive
    - Enabling High Availability for Hive
      This section describes how to enable High Availability for HiveServer2 and HiveMetastore.
    - Hive Features in HPE Data Fabric
      Describes HPE Data Fabric-specific features in Hive.
    - Hive 3.1.3 API Changes
      This topic describes the public API changes that occurred between Hive 2.3.9 EEP 8.1.0 and Hive 3.1.3 EEP 9.0.0.
    - Hive 2.3 API Changes
      This topic describes the public API changes that occurred between Hive 2.1 EEP 5.0.0 and Hive 2.3 EEP 6.0.0.
    - Hive 2.1 API
    - Troubleshooting Hive and Tez
    - Hive Logging
      This section describes Hive logging for Hive 2.1 and later releases and includes information about log splitting.
  - HttpFS
  - Hue
  - 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.

Understanding the UPDATE Statement

Starting with EEP 6.0.0 (Hive 2.3), EEP 5.0.1 (Hive 2.1), EEP 4.1.2, and EEP 3.0.4, the UPDATE statement is supported with Hive HPE Data Fabric Database JSON tables.

You can use the UPDATE statement to update primitive, complex, and complex nested data types in HPE Data Fabric Database JSON tables, using the Hive connector.

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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	November 2025
Edition	8.0.0