About Release 7.9.0
This site contains documentation for HPE Ezmeral Data Fabric release 7.9.0, including installation, configuration, administration, and reference content, as well as content for the associated ecosystem components and drivers.
7.9.0 Installation
This section contains information about installing and upgrading HPE Ezmeral 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.
7.9.0 Data Fabric
HPE Ezmeral Data Fabric is the industry-leading data platform for AI and analytics that solves enterprise business needs.
7.9.0 Administration
This section describes how to manage the nodes and services that make up a cluster.
7.9.0 Development
This section contains information related to application development for Ezmeral ecosystem components and HPE Ezmeral 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 Ezmeral 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 Ezmeral 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 Ezmeral 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 Ezmeral Data Fabric Streams. The service makes it possible for Apache Kafka clients written in any programming language to access topics in HPE Ezmeral Data Fabric Streams.
- HPE Ezmeral Data Fabric Streams and Apps
  HPE Ezmeral Data Fabric Streams brings integrated publish and subscribe messaging to HPE Ezmeral 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 Ezmeral Data Fabric.
  - Ecosystem Packs
  - Apache Airflow
    This topic provides an overview of Apache Airflow on HPE Ezmeral Data Fabric.
    - Starting, Stopping, and Restarting Airflow Services
      This topic describes how to start, stop, and restart Airflow services on HPE Ezmeral Data Fabric.
    - Considerations for Using Airflow CLI Commands
      Describes security considerations for using Airflow CLI commands.
    - Configuring a Remote Database for Airflow
      This topic describes how to configure a remote database for Airflow on the HPE Ezmeral Data Fabric.
    - Configuring SSL Security for Airflow
      This topic describes the security configurations for Airflow on HPE Ezmeral Data Fabric.
    - Configuring MapR-SASL and SSL for Hooks Connections
      This topic decribes configuration options for MapR-SASL and SSL for hook connections in Airflow.
    - Airflow Providers
      This topic describes the Apache Airflow Provider packages available in HPE Ezmeral Data Fabric.
  - AsyncHBase
  - Cascading
  - Apache Drill
  - Hadoop
  - HBase
  - HBase Client and HPE Ezmeral Data Fabric Database Binary Tables
  - HCatalog
  - Hive
  - HttpFS
  - Hue
  - Livy
    Apache Livy is primarily used to provide integration between Hue and Spark.
  - HPE Ezmeral Data Fabric Streams Clients and Tools
    Describes the supported HPE Ezmeral Data Fabric Streams tools and clients.
  - NiFi
    This topic provides an overview of Apache NiFi on HPE Ezmeral Data Fabric.
  - OTel
    This topic provides an overview of OpenTelemetry on HPE Ezmeral Data Fabric.
  - Ranger
  - Apache Spark
  - YARN
  - Zeppelin
- Maven and the HPE Ezmeral Data Fabric
  This section discusses topics associated with Maven and the HPE Ezmeral Data Fabric.
- Developer's Reference
  This section contains in-depth information for the developer.
- API Documentation
  HPE Ezmeral Data Fabric supports public APIs for file system, HPE Ezmeral Data Fabric Database, and HPE Ezmeral 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.

Starting, Stopping, and Restarting Airflow Services

This topic describes how to start, stop, and restart Airflow services on HPE Ezmeral Data Fabric.

About this task

The Warden daemon starts the Airflow server (airflow-webserver and airflow-scheduler) automatically at installation time.

You can start and stop Airflow from the command line or from the Control System. You can use the maprcli node services command to start Airflow on multiple nodes at one time.

Perform the following steps to start or stop or restart Airflow from the command line:

Procedure

Make a list of nodes on which Airflow is configured.

Run the maprcli node services command with either start, restart, or stop, and specify the nodes on which Airflow is configured, separated by spaces.

maprcli node services -name airflow-webserver  -action start|stop|restart -nodes <nodes list>

maprcli node services -name airflow-scheduler -action start|stop|restart -nodes <nodes list>

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HPE Ezmeral Data Fabric – Customer-Managed 7.9.0 Documentation
Abstract	This site contains documentation for the customer-managed platform of the HPE Ezmeral Data Fabric version 7.9.0 including installation, configuration, administration, and reference content, as well as content for the associated bundled ecosystem components and drivers.
Published	November 2024
Edition	7.9.0