Run Standalone MATLAB MapReduce Applications Against a Hadoop Cluster

Create a standalone MATLAB^® MapReduce application and execute it against a Hadoop^® cluster

A standalone MATLAB MapReduce application is a self-contained application encompassing all the necessary components for independent execution against a Hadoop cluster. It contains a:

mapper function (one or more) written in MATLAB
reducer function written in MATLAB
MATLAB application script or function invoking the mapper and reducer functions

All components are packaged into a single standalone application to be executed against a Hadoop cluster. Standalone applications can be packaged using the Application Compiler app or from the MATLAB command prompt using the mcc command.

For more information, see Workflow to Run Compiled Standalone Applications Against a Hadoop Cluster.

Functions

`deploytool`	Open a list of application deployment apps
`mcc`	Compile MATLAB functions for deployment
`mapreduce`	Programming technique for analyzing data sets that do not fit in memory
`mapreducer`	Define deployed execution for mapreduce

Classes

matlab.mapreduce.DeployHadoopMapReducer Configure a MapReduce application for deployment against Hadoop

Topics

Workflow to Run Compiled Standalone Applications Against a Hadoop Cluster
Review workflow on how to create a compiled standalone application and run it against a Hadoop cluster.
Run Standalone MATLAB MapReduce Application
Try an example on creating a standalone MATLAB MapReduce application using the mcc command, and run it against a Hadoop cluster.