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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.
Ecosystem Components
The following sections provide information about each open source project that MapR supports.
Third Party Solutions
Vertica Analytics Platform

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.
- 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.
  - MapR Ecosystem Packs
    A MapR Ecosystem Pack (MEP) provides a set of ecosystem components that work together on one or more MapR cluster versions. Only one version of each ecosystem component is available in each MEP. For example, only one version of Hive and one version of Spark is supported in a MEP.
  - AsyncHBase
  - Cascading
  - Drill
  - Flume
  - HBase Client and MapR-DB Binary Tables
  - HCatalog
  - Hive
  - HttpFS
  - Hue
  - Impala
  - MapR-ES Clients and Tools
  - Myriad
  - OpenStack Manila
  - Oozie
  - Pig
  - Sentry
  - Spark
  - Sqoop
  - Third Party Solutions
- 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.

Vertica Analytics Platform

This document describes the steps required to run the Vertica Analytics Platform on a MapR Hadoop cluster. It is not an installation guide for either product. Rather, it provides the specific configuration steps to configure Vertica on the MapR solution.

Like Hadoop, Vertica is deployed in a cluster architecture that uses a shared-nothing storage model. Each Vertica node typically uses a local Linux ext3 or ext4 filesystem to store its files. The Vertica on MapR solution uses local NFS mounts of the MapR file system instead of a local Linux filesystem. Using NFS mounts allows Vertica and Hadoop to run simultaneously on the same set of hosts or systems. MapR provides for resource management to control compute resources used by Hadoop applications and by Vertica. Note that, for best performance, it is recommended to run Vertica on a dedicated server. The integration between MapR and Vertica provides access to Hadoop applications, but may affect your Vertica performance.

All storage on each Vertica/MapR node is flexibly allocated to Vertica or other Hadoop applications as needed. You do not need to pre-allocate nodes or storage to Vertica or Hadoop applications.

Target Versions

The Vertica and MapR solution has been tested with and is supported on the following versions:

Vertica 7.0.1 and MapR 3.0.2
Vertica 7.1 and MapR 3.1.1