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<h2>MapReduce NextGen aka YARN aka MRv2<a name="MapReduce_NextGen_aka_YARN_aka_MRv2"></a></h2>
<p>The new architecture introduced in hadoop-0.23, divides the two major functions of the JobTracker: resource management and job life-cycle management into separate components.</p>
<p>The new ResourceManager manages the global assignment of compute resources to applications and the per-application ApplicationMaster manages the application&#x2019;s scheduling and coordination. </p>
<p>An application is either a single job in the sense of classic MapReduce jobs or a DAG of such jobs. </p>
<p>The ResourceManager and per-machine NodeManager daemon, which manages the user processes on that machine, form the computation fabric. </p>
<p>The per-application ApplicationMaster is, in effect, a framework specific library and is tasked with negotiating resources from the ResourceManager and working with the NodeManager(s) to execute and monitor the tasks.</p>
<p>More details are available in the <a href="./YARN.html">YARN</a> document.</p>
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<h3>Documentation<a name="Documentation"></a></h3>
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