Driven User Guide
version 2.0.5Visualizing Custom MapReduce Jobs
One way that Driven can provide operational monitoring of native MapReduce applications is to apply a Cascading HadoopFlow subclass on your existing MapReduce jobs. Apply Class MapReduceFlow to custom MapReduce jobs in order to view application execution information in Driven.
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Note
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If you prefer not to use the Cascading Class MapReduceFlow to monitor applications coded in native MapReduce, see the Driven Agent Guide for information about how to set up an alternative way of monitoring the applications. |
After Driven receives data from application execution, you can see the directed acyclic graph (DAG) representation and table of detailed data about the MapReduce job on both the app details and unit of work details pages. As displayed in Figure 1, DAG nodes can be clicked to reveal underlying information.
Figure 1. App details page of a native MapReduce job