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6.2 Development
This section contains information related to application development for ecosystem components and MapR products including HPE Ezmeral Data Fabric Database (binary and JSON), filesystem, and MapR Streams.
HPE Ezmeral Data Fabric Event Data Streams and Apps
HPE Ezmeral Data Fabric Event Data Streams brings integrated publish and subscribe messaging to HPE Ezmeral Data Fabric.

HPE Ezmeral Data Fabric 6.2 Documentation

6.2 Development
This section contains information related to application development for ecosystem components and MapR products including HPE Ezmeral Data Fabric Database (binary and JSON), filesystem, and MapR Streams.
- Application Development Process
  Before you start developing applications on MapR’s Converged Data Platform, consider how you will get the data onto the platform, the format it will be stored in, the type of processing or modeling that is required, and how the data will be accessed.
- filesystem and Apps
  The following sections provide information about accessing filesystem with C and Java applications.
- HPE Ezmeral Data Fabric Database and Apps
  This section contains information about developing client applications for JSON and binary tables.
- HPE Ezmeral Data Fabric Event Data Streams and Apps
  HPE Ezmeral Data Fabric Event Data Streams brings integrated publish and subscribe messaging to HPE Ezmeral Data Fabric.
  - Getting Started with HPE Ezmeral Data Fabric Event Data Streams
    If you have a basic understanding of HPE Ezmeral Data Fabric Event Data Streams's components and the typical flow of messages from producers to consumers, you can give HPE Ezmeral Data Fabric Event Data Streams a try.
  - Consuming CDC Records
    The OJAI changelog interfaces are used to consume changed data records (propagated by the Change Data Capture feature).
  - Consuming Audit Logs
    Audit Streaming (available from v6.0.1) provides a way to process the audit data in real-time.
  - HPE Ezmeral Data Fabric Event Data Streams Java Applications
    This section contains information on developing client applications with Java including information about the HPE Ezmeral Data Fabric Event Data Streams and Apache Kafka Java APIs, configuration parameters, and compiling and running producers and consumers.
  - HPE Ezmeral Data Fabric Event Data Streams C Applications
    C applications can be developed for HPE Ezmeral Data Fabric Event Data Streams (as of MapR 5.2.1). The HPE Ezmeral Data Fabric Event Data Streams C Client is a distribution of librdkafka that works with HPE Ezmeral Data Fabric Event Data Streams. The HPE Ezmeral Data Fabric Event Data Streams C Client is available in Ecosystem Pack (MEP) 3.0 or higher.
  - HPE Ezmeral Data Fabric Event Data Streams Python Applications
    As of HPE Ezmeral Data Fabric 5.2.1, you can create python applications for HPE Ezmeral Data Fabric Event Data Streams using the HPE Ezmeral Data Fabric Event Data Streams Python client. The HPE Ezmeral Data Fabric Event Data Streams Python client is a binding for librdkafka and the HPE Ezmeral Data Fabric Event Data Streams C Client is a distribution of librdkafka that works with HPE Ezmeral Data Fabric Event Data Streams.
  - HPE Ezmeral Data Fabric Event Data Streams C#/.NET Applications
    As of HPE Ezmeral Data Fabric 6.0.1/MEP5.0, you can create C#/.NET applications for HPE Ezmeral Data Fabric Event Data Streams using the HPE Ezmeral Data Fabric Event Data Streams C#/.NET client. The HPE Ezmeral Data Fabric Event Data Streams C#/.NET client is a binding for librdkafka and the HPE Ezmeral Data Fabric Event Data Streams C Client is a distribution of librdkafka that works with HPE Ezmeral Data Fabric Event Data Streams.
  - Utilities for HPE Ezmeral Data Fabric Event Data Streams
    HPE Ezmeral Data Fabric Event Data Streams provides the utilities for operating on streams and topics.
  - Configuring Properties for Message Size
    Describes the message.max.bytes and receive.message.max.bytes properties for configuring message size.
- 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.
- 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 filesystem, HPE Ezmeral Data Fabric Database, and HPE Ezmeral Data Fabric Event Data Streams. These APIs are available for application-development purposes.

HPE Ezmeral Data Fabric Event Data Streams and Apps

HPE Ezmeral Data Fabric Event Data Streams brings integrated publish and subscribe messaging to HPE Ezmeral Data Fabric.

HPE Ezmeral Data Fabric Event Data Streams is built into the HPE Ezmeral Data Fabric. It requires no additional process to manage, leverages the same architecture as the rest of the platform, and requires minimal additional management.

Attention: As of MapR 6.1, the HPE Ezmeral Data Fabric Event Data Streams API enforces a maximum of 4096 partitions for a topic. If you create an application with the HPE Ezmeral Data Fabric Event Data Streams 6.1 API, the maximum number of partitions is 4096. If you previously created an application with HPE Ezmeral Data Fabric Event Data Streams 6.0.1 API (or older) and you have upgraded, the original number of partitions can be used. For example, if you were using more than 4096 partitions in MapR 6.0.1 or earlier, you can continue with the same number of partitions after upgrading.

(Topic last modified: 2021-07-30)