Home
7.3 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.
Ecosystem Components
The following sections provide information about each open-source project that is supported by the HPE Ezmeral Data Fabric.
Apache Spark
Spark History Server SSL
Describes how to enable SSL for Spark History Server.

HPE Ezmeral Data Fabric – Customer-Managed 7.3 Documentation

7.3 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
  Starting in EEP 9.0.0, 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.
  - 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.
  - Ranger
  - Apache Spark
    - Getting Started with Spark Interactive Shell
      After you have a basic understanding of Apache Spark and have it installed and running on your cluster, you can use it to load datasets, apply schemas, and query data from the Spark interactive shell.
    - Apache Spark Feature Support
      HPE Ezmeral Data Fabric supports most Apache Spark features. However, there are some exceptions.
    - Spark Standalone
    - Spark on YARN
    - Spark configure.sh
      Starting in the EEP 4.0 release, run configure.sh -R to complete your Spark configuration when manually installing Spark or upgrading to a new version.
    - Spark SQL Thrift Server
      Spark SQL Thrift (Spark Thrift) was developed from Apache Hive HiveServer2 and operates like HiveSever2 Thrift server.
    - Spark History Server SSL
      Describes how to enable SSL for Spark History Server.
    - HPE Ezmeral Data Fabric Database Connectors for Apache Spark
      This section describes the HPE Ezmeral Data Fabric Database connectors that you can use with Apache Spark.
    - Integrating Spark
      This section includes the following topics about configuring Spark to work with other ecosystem components.
    - Spark JDBC and ODBC Drivers
      MapR provides JDBC and ODBC drivers so you can write SQL queries that access the Apache Spark data-processing engine. This section describes how to download the drivers, and install and configure them.
    - Spark API Changes
      This topic describes the public API changes that occurred for specific Spark versions.
    - Structured Streaming in Spark
      Starting in EEP 5.0.0, structured streaming is supported in Spark.
    - PAM Authentication for Spark
      Spark supports PAM authentication on secure MapR clusters.
    - Read or Write LZO Compressed Data for Spark
      This topic provides details for reading or writing LZO compressed data for Spark.
    - Ports Used by Spark
      To run a Spark job from a client node, ephemeral ports should be opened in the cluster for the client from which you are running the Spark job.
    - ACL Configuration for Spark
      Starting in the EEP 6.0 release, the ACL configuration for Spark is disabled by default.
  - 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.

Spark History Server SSL

Describes how to enable SSL for Spark History Server.

NOTE: For secure clusters, Spark History Server UI authentication is enabled by default. If passwords are present in both /opt/mapr/conf/ssl-client.xml and /opt/mapr/spark/spark-<spark_version>/conf/spark-defaults.conf files, the password from the spark-defaults.conf file is used

Starting in EEP 4.0, for secure clusters, you can skip this step. For new installs done through the 6.0 MapR Installer, the installer enables this configuration. For manual installs and upgrades, running configure.sh -R enables these settings.

To configure SSL manually in a non-secure cluster or in versions earlier than EEP 4.0, add the following properties to the spark-default.conf file:

#HistoryServer https configure        
spark.yarn.historyServer.address <Spark History Server node hostname>:18480          
spark.ssl.protocol tls           
spark.ssl.historyServer.enabled true       
spark.ssl.trustStore $MAPR_HOME/conf/ssl_truststore         
spark.ssl.keyStore $MAPR_HOME/conf/ssl_keystore        
spark.ssl.trustStorePassword <ssl-keystore-password>        
spark.ssl.keyStorePassword <ssl-keystore-password>

NOTE: If a cluster is secure and you use unsecured ports with HTTP, you will be automatically redirected to HTTPS with secure ports. For example, if on the secure cluster you go to http://node1:18080, you will be redirected to https://node1:18480.

(Topic last modified: 2019-12-12)