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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-DB and Apps
This section contains information about developing client applications for JSON and binary tables.
Developing Applications for Binary Tables
MapR-DB provides a C API, libMapRClient and partially supports the Apache HBase 1.1 Java APIs for performing operation on MapR-DB binary tables.

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.
  - Installing the mapr-client Package
    The mapr-client package must be installed on each node where you will be building and running your applications. This package installs all of the MapR Libraries needed for application development regardless of programming language or type of MapR-DB table (binary or JSON).
  - Passing the MapR-DB Table Path
    This topic describes the methods for passing a MapR-DB table name. Binary table names can be passed by either specifying the table path in the API or by setting the table path in the core-site.xml file. JSON table names are passed by specifying the table path in the API.
  - Tuning Parameters for Client Apps
    Though tuning client applications is generally not necessary, MapR does offer tuning parameters to change the behavior of client-side caching.
  - Developing Applications for Binary Tables
    MapR-DB provides a C API, libMapRClient and partially supports the Apache HBase 1.1 Java APIs for performing operation on MapR-DB binary tables.
    - Creating C Apps - Binary Tables
      MapR provides a library of C APIs – libMapRClient – for performing operations on MapR-DB binary tables.
    - Creating Java Apps - Binary Tables
      This topics describes the supported Apache HBase Java APIs used for CRUD operations on MapR-DB binary tables.
    - Impersonation via HBase REST Gateway
      Impersonation enables access to tables via user IDs other than the user that runs the Gateway.
    - Thread-pool Settings for Performance
    - Building MapReduce Applications
      This section provides information about building and running custom MapReduce application that access MapR-DB binary tables.
  - Developing Applications for JSON Tables
    As part of its support for JSON tables, MapR-DB implements the OJAI API. The OJAI API provides methods for creating, reading, updating, and deleting JSON documents in MapR-DB JSON tables. It is available in Java. MapR-DB also provides a MapR-DB JSON Client API for managing JSON tables and a MapR-DB JSON REST API for performing basic operations using HTTP calls.
- MapR-ES and Apps
  MapR-ES brings integrated publish and subscribe messaging to the MapR Converged Data Platform.
- 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.

Developing Applications for Binary Tables

MapR-DB provides a C API, libMapRClient and partially supports the Apache HBase 1.1 Java APIs for performing operation on MapR-DB binary tables.

The MapR-DB C API, libMapRClient, runs more efficiently on MapR-DB and performs faster against MapR-DB tables than the open source library of C APIs, libhbase, that is used to create and access Apache HBase tables. The libMapRClient header files are in this directory: /opt/mapr/include/hbase

MapR-DB also supports all of the Apache HBase 1.1 Java APIs, except where noted in this documentation. For a number of critical Java APIs, for filters, and for comparators, this documentation explicitly lists what is supported, rather than what is not supported.

You can easily port existing applications that use the open-source version of libhbase or the HBase Java APIs to use MapR-DB binary tables.

Current Limitations

Custom HBase filters are not supported.
HBase co-processors are not supported.

NOTE: Filters used with Scan operations support regular expressions. When you filter scans on MapR-DB tables, you can use regular expressions that comprise the Perl Compatible Regular Expressions (PCRE) library as well as a subset of the regular expressions that are supported in java.util.regex.pattern. See HBase Java Regular Expressions Support for a list of supported regular expressions.

(Topic last modified: 2018-08-23)