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
  - 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.
    - KSQL
      KSQL is an open-source streaming SQL engine that implements continuous, interactive queries.
    - Kafka Streams
      Kafka Streams is a programming library used for creating Java or Scala streaming applications and, specifically, building streaming applications that transform input topics into output topics.
    - Kafka REST Proxy
      The Kafka REST Proxy provides a RESTful interface to HPE Data Fabric Streams clusters to consume and produce messages and to perform administrative operations.
    - Kafka Connect
      Kafka Connect is a utility for streaming data between HPE Data Fabric Streams and other storage systems.
      - Architecture of Kafka Connect
        Kafka Connect for HPE Data Fabric Streams has the following major models in its design: connector, worker, and data.
      - Connectors, Tasks, and Workers
        Describes how Kafka Connect for HPE Data Fabric Streams works and how connectors, tasks, offsets, and workers are associated.
      - Connector Configuration
        This section describes how and where connectors are configured.
      - Worker Configuration
        This section describes how and where to configure workers.
      - JDBC Connector
        The topics describes the JDBC connector, drivers, and configuration parameters.
      - Managing Kafka Connect Services
        Lists the commands you use to start, stop, or restart Kafka Connect Services
      - HDFS Connector
        These topics describe the Kafka Connect for HPE Data Fabric Streams HDFS connector, driver, and configuration parameters.
      - REST API
        The Kafka Connect REST API for HPE Data Fabric Streams manages connectors.
      - Saving Kafka Connect Configurations
        Describes how Kafka Connect configurations are saved during an upgrade.
    - Kafka Schema Registry
      Kafka Schema Registry provides a RESTful interface for storing and retrieving schemas.
    - Structured Streaming in Spark
      Starting in EEP 5.0.0, structured streaming is supported in Spark.
  - 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.

Saving Kafka Connect Configurations

Describes how Kafka Connect configurations are saved during an upgrade.

Starting in EEP 6.0.0, the configuration for a previously installed version of Kafka Connect is stored in a folder with a timestamp.

Files are saved and overwritten by new configuration files:
- when upgrading from 4.1.0 to 5.1.2.
- when upgrading from 5.1.2 to 10.0.0.
Files are saved only (not overwritten):
- when upgrading from 5.1.2 to 5.1.2.

Example

The following example shows the list of configuration files that are saved when upgrading from mapr-kafka-connect 5.1.2 (EEP 7.0.0) to

mapr-kafka-connect
          5.1.2

(EEP 7.0.1):

ls /opt/mapr/kafka/
kafka-2.1.1  kafka-2.1.1.0.202009090438  kafkaversion

ls /opt/mapr/kafka/kafka-2.1.1.0.202009090438/config/
connect-console-sink.properties    connect-distributed.properties  connect-file-source.properties  connect-standalone.properties
connect-console-source.properties  connect-file-sink.properties    connect-log4j.properties

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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
Topic last updated	2021-10-07