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5.2 Application 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.
Storm

MapR 5.2 Documentation

5.2 Application 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.
- Connecting to the Cluster
  Application are often run on nodes that are not part of the MapR Cluster. There are many methods to connect to a MapR cluster; this section will briefly describe each option.
- MapR-FS and Applications
  The following sections provide information about accessing MapR-FS with C and Java applications.
- MapR-DB and Applications
  This section contains information on developing client applications for binary and JSON tables.
- MapR Streams and Applications
  MapR Streams brings integrated publish/subscribe messaging to the MapR Converged Data Platform.
- MapReduce and Applications
  This section contains information associated with developing MapReduce programs or YARN applications.
- Ecosystem Components
  The following sections provide information about each open source project that MapR supports.
  - MapR Expansion Packs
    A MapR Expansion 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
  - HCatalog
  - Hive
  - HttpFS
  - Hue
  - Impala
  - Mahout
  - MapR Streams Clients and Tools
  - Myriad
  - Oozie
  - Pig
  - OpenStack Sahara (Ocata)
  - Sentry
  - Spark
  - Sqoop
  - Storm
    - Storm Feature Support
      MapR supports most Storm features. However, there a few exceptions.
    - Configuring Storm
    - Using Storm
    - Integrating Storm
  - 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
  This topic provides links to the locations of MapR's public APIs. These APIs are available for application development purposes.

Storm

Storm is a distributed real-time computation system that processes streaming data and works with any programming language.

A MapR cluster that runs Storm includes:

A master node that runs Nimbus (the master node daemon)
Worker nodes that run Supervisors (worker node daemons)

Before you install Storm, plan which node will run Nimbus (the Storm master daemon) and the Storm UI, and which nodes will run the Supervisors (the Storm worker daemons).