Table of Contents

Driven User Guide

version 2.1.4

Visualizing Custom MapReduce Jobs

Driven supports the operational monitoring of native MapReduce jobs.

Note
If you prefer not to use the Cascading Class MapReduceFlow, see the link: Driven Agent 2.1 Installation Guide for information about how to set up monitoring of applications that are coded in native MapReduce.

You can take your existing MapReduce jobs and apply Class MapReduceFlow, which is a HadoopFlow subclass.

The Class MapReduceFlow allows custom MapReduce jobs to be observed by Driven.

After Driven receives data from application execution, you can see the directed acyclic graph (DAG) representation of the MapReduce job with flows and their dependencies.

MapReduce_Wrapper Figure 1: Driven displays your MapReduce job DAG representation, which allows you to drill down to a specific flow

Note
Driven does not show any performance data in this example since the job was just launched.