Merge pull request #2 from learninghadoop2/gmodena-readme-gettingstarted

Add project documentation

Author: gmodena

README.md

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+# book-examples
+
+This repository contains examples (and errata) for [Learning Hadoop 2](http://learninghadoop2.com).
+
+## Requirements
+
+Throughout the book we use Cloudera CDH 5.0 and Amazon EMR as reference systems. All examples target, 
+and have been tested with, Java 7.
+
+## Build the examples
+The easiest way to build the examples, with CDH 5.0 dependencies, is to use the provided Gradle and sbt scripts.
+
+### Gradle
+We use [Gradle](https://gradle.org) to compile Java code and collect the required class files into a single JAR file.
+
+```{bash}
+$ ./gradlew jar
+```
+
+JARs can then be submitted to Hadoop with:
+
+```{bash}
+$ hadoop jar <job jarfile> <main class> <argument 1> ... <argument 2>
+```
+
+#### Example - Chapter 3 (Mapreduce and beyond)
+
+To build ch3 examples 
+```{bash}
+$ git clone https://github.com/learninghadoop2/book-examples
+$ cd book-examples/ch3
+$ ./gradlew jar
+```
+
+The script will  take care of downloading a Gradle distribution from
+the official repo
+(https://services.gradle.org/distributions/gradle-2.0-bin.zip),
+and use it to build the code under
+src/main/java/com/learninghadoop2/mapreduce/. You will find the
+resulting jar in build/libs/mapreduce-example.jar.
+
+We can run the WordCount example as described in Chapter 3:
+```{bash}
+$ hadoop jar build/libs/mapreduce-example.jar \
+com.learninghadoop2.mapreduce.WordCount \
+input.txt \
+output
+```
+
+
+For more information on how gradle is bootstrapped to run the build,
+refer to https://docs.gradle.org/current/userguide/gradle_wrapper.html
+The gradle_wrapper plugin is distributed with the examples 
+(gradle/wrapper/gradle-wrapper.jar).
+
+
+### SBT
+
+We use [sbt](www.scala-sbt.org) to build, manage, and execute the Spark examples in Chapter 5.
+
+The build.sbt file controls the codebase metadata and software dependencies.
+
+The source code for all examples can be compiled with:
+```{bash}
+$ cd ch5
+$ sbt compile
+```
+
+Or, it can be packaged into a JAR file with:
+```{bash}
+$ sbt package
+```
+
+For Spark in standalone mode, an helper script to execute compiled classes can be generated with:
+```{bash}
+$ sbt add-start-script-tasks
+$ sbt start-script
+```
+The helper can be invoked as follows:
+
+```{bash}
+$ target/start <class name> <master> <param1> … <param n>
+```
+
+
+#### YARN on CDH5
+
+To run the examples on a YARN grid on CDH5, you can build a JAR file using:
+```{bash}
+$ sbt package
+```
+
+and then ship it to the Resource Manager using the spark-submit command:
+
+```{bash}
+./bin/spark-submit --class application.to.execute --master yarn-cluster [options] target/scala-2.10/chapter-4_2.10-1.0.jar [<param1> … <param n>]
+```
+Unlike the standalone mode, we don't need to specify a <master> URI. 
+
+More information on launching Spark on YARN can be found at http://spark.apache.org/docs/latest/running-on-yarn.html.