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6.0 Development
This section contains information related to application development for ecosystem components and MapR products including MapR-DB (binary and JSON), MapR-FS, and MapR Streams.
MapR-ES and Apps
MapR-ES brings integrated publish and subscribe messaging to the MapR Converged Data Platform.
MapR-ES Python Applications
As of MapR 5.2.1, you can create python applications for MapR-ES using the MapR-ES Python client. The MapR-ES Python client is a binding for librdkafka and the MapR-ES C Client is a distribution of librdkafka that works with MapR-ES.

MapR 6.0 Documentation

6.0 Development
This section contains information related to application development for ecosystem components and MapR products including MapR-DB (binary and JSON), MapR-FS, 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.
- MapR-FS and Apps
  The following sections provide information about accessing MapR-FS with C and Java applications.
- MapR-DB and Apps
  This section contains information about developing client applications for JSON and binary tables.
- MapR-ES and Apps
  MapR-ES brings integrated publish and subscribe messaging to the MapR Converged Data Platform.
  - Getting Started with MapR-ES
    If you have a basic understanding of MapR-ES's components and the typical flow of messages from producers to consumers, you can give MapR-ES 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.
  - MapR-ES Java Applications
    This section contains information on developing client applications with Java including information about the MapR-ES and Apache Kafka Java APIs, configuration parameters, and compiling and running producers and consumers.
  - MapR-ES C Applications
    C applications can be developed for MapR-ES (as of MapR 5.2.1). The MapR-ES C Client is a distribution of librdkafka that works with MapR-ES. The MapR-ES C Client is available in MapR Ecosystem Pack (MEP) 3.0 or higher.
  - MapR-ES Python Applications
    As of MapR 5.2.1, you can create python applications for MapR-ES using the MapR-ES Python client. The MapR-ES Python client is a binding for librdkafka and the MapR-ES C Client is a distribution of librdkafka that works with MapR-ES.
    - Developing MapR-ES Python Applications
      This topic includes basic information about how to develop a MapR-ES Python application and an example program that you can run.
    - Migrating Kafka Python Applications to MapR-ES
      With some modification, you can use existing confluent-kafka python applications to consume and produce topics in MapR-ES. The MapR-ES Python Client is a binding for Apache librdkafka that works with MapR-ES.
    - API for MapR-ES Python Client
      MapR-ES Python Client is a binding for librdkafka and it supports the following APIs.
    - Configuration Properties for MapR-ES Python Client
      In the instance constructor of a MapR-ES Python application, you can use a dictionary to set the following configuration properties. MapR-ES Python client supports a superset of the configuration properties supported by the MapR-ES C client.
  - MapR-ES C#/.NET Applications
    As of MapR 6.0.1/MEP5.0, you can create C#/.NET applications for MapR-ES using the MapR-ES C#/.NET client. The MapR-ES C#/.NET client is a binding for librdkafka and the MapR-ES C Client is a distribution of librdkafka that works with MapR-ES.
  - Utilities for MapR-ES
    MapR-ES 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.
- MapR Data Science Refinery
  The MapR Data Science Refinery is an easy-to-deploy and scalable data science toolkit with native access to all platform assets and superior out-of-the-box security.
- MapR Data Fabric for Kubernetes FlexVolume Driver
  This section describes how to use and troubleshoot the MapR Data Fabric for Kubernetes FlexVolume Driver.
- Ecosystem Components
  The following sections provide information about each open source project that MapR supports.
- Maven and MapR
  This section discusses topics associated with Maven and MapR.
- Developer's Reference
  This section contains in-depth information for the developer.
- API Documentation
  MapR supports public APIs for MapR-FS, MapR-DB, and MapR-ES. These APIs are available for application development purposes.

MapR-ES Python Applications

As of MapR 5.2.1, you can create python applications for MapR-ES using the MapR-ES Python client. The MapR-ES Python client is a binding for librdkafka and the MapR-ES C Client is a distribution of librdkafka that works with MapR-ES.

The MapR-ES Python client is available in a MapR Ecosystem Pack (MEP) starting with MEP 3.0.

The following Apache Kafka librdkafka versions are supported:

Table 1. Supported Apache Kafka librdkafka versions
MapR release	MEP Release	Kafka librdkafka version
As of MapR 6.0.1	As of 5.0	0.11.3
As of MapR 5.2.1 through 6.0.0	As of 3.0	0.9.0

NOTE: Because the MapR-ES Python Client is dependent on the MapR-ES C Client, the MapR-ES C Client must be configured before using the MapR-ES Python Client.

When developing and running MapR-ES Python applications, note the following points:

You can create producers and high-level consumers. Low-level consumers are not supported.
Consuming or producing topics in a Kafka cluster is not supported.
MapR-ES offset values start at 1, not 0.
MapR security is supported including ACLs and ACEs for authorization. The unique Kafka security features that are part of Apache Kafka are not supported. See Security for more information about MapR security features.
User impersonation is not supported.