Hadoop Map Reduce Implementation : AvgTemp

Project To calculate the average of Temperatures from a dataset using MapReduce in Hadoop

Steps to Run :

1. Clone the repository.

   1.1. Install openjdk7 or newer version (See instructions here : http://openjdk.java.net/install/).

   1.2. Make sure you have Hadoop Installed (See instructions here : https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-common/SingleCluster.html).

   1.3. Install a Integrated Development Environment (IDE) of your choice. I prefer Eclipse. (See instructions here : http://ubuntuhandbook.org/index.php/2014/06/install-latest-eclipse-ubuntu-14-04/).

1.4. Get the dataset from http://www.ncdc.noaa.gov/orders/qclcd/ : For any specific year or whole.

 Once you have everything in place:

2. use start-all.sh (Deprecated : use start-dfs.sh and start-yarn.sh for starting namenodes, datanodes, resource managers)

   Type in jps in terminal : (You get something like this)

   4181 DataNode

   5214 NameNode

   5753 org.eclipse.equinox.launcher_1.3.0.v20140415-2008.jar

   4643 NodeManager

   4357 SecondaryNameNode

   4514 ResourceManager

   14302 Jps

3. Shoot up a new cluster either in local machine or virtual machine. I have used here my local machine installed with Ubuntu 14.04LTE Go to terminal : type in : ##hadoop fs -mkdir -p hdfs://localhost:9000//data/big/weather (To create a directory in your HDFS)

4. Now copy data to your cluser: For example you have a dataset residing in /home/anurag/data/small/ type in : hadoop fs -put /home/anurag//data/big/weather hdfs://localhost:9000//data/big/weather

5. Go to : http://localhost:50070/explorer.html to see whether files were copied or not. Now I have already exported the jar for using with our dataset, you can export your own from IDE Copy the jar to your filesystem. Mine resides in /home/anurag/workspace2/AvgTemp/bin/AvgTemp.jar

6. So to run the Job on your cluster : type in : hadoop jar /home/anurag/workspace2/AvgTemp/bin/AvgTemp.jar AvgTemp hdfs://localhost:9000/data/big/weather hdfs://localhost:9000/data/big/weather/output.

And voila!! You just ran your Map Reduce Job successfully.

#For any queries : #tiwari.anurag126@gmail.com