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Source: http://datahugger.org/datascience/setting-up-hadoop-v2-with-spark-v1-on-osx-using-homebrew/

This post builds on the previous setup Hadoop (v1) guide, to explain how to setup a single node Hadoop (v2) cluster with Spark (v1) on OSX (10.9.5).

Apache Hadoop is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures. The Apache Hadoop framework is composed of the following core modules:

HDFS (Distributed File System): a distributed file-system that stores data on commodity machines, providing very high aggregate bandwidth across the cluster.
YARN (Yet A

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#include <time.h> //  Robert Nystrom
#include <stdio.h> // @munificentbob
#include <stdlib.h> //     for Ginny
#define  r return    //    2008-2019
#define  l(a, b, c, d) for (i y=a;y\
<b; y++) for (int x = c; x < d; x++)
typedef int i;const i H=40;const i W
=80;i m[40][80];i g(i x){r rand()%x;
}void cave(i s){i w=g(10)+5;i h=g(6)
+3;i t=g(W-w-2)+1;i u=g(H-h-2)+1;l(u