Venkat$ echo

Install Apache Maven 3  on Ubuntu 12.10 Follow the below steps to install Maven3.  Maven is a important tool which we might require to build some of the apache projects. So lets install it. Open you your terminal and type in the following commands. sudo apt-get install maven If you get an error message like  E: dpkg was interrupted, you must manually run 'sudo dpkg --configure -a' to correct the problem. then run the below command sudo dpkg --configure -a After running the above command, again run the first command sudo apt-get install maven once the installation is over, then check the version to make sure if the installation was successful. mvn -version

Install Oracle(Sun) Java 1.7.x on Ubuntu 12.10 My windows Visa laptop crashed recently and I decided to get rid of windows Vista ( enough is enough) and install Linux on my laptop. So did a fresh install of Ubuntu 12.10 on my old laptop and had to install all required software on it. So I thought why not blog it. Also I'm planning to install Hadoop-Hbase-Mahout on this machine and the first step to hadoop and others is installing JAVA. So here are the steps to install JAVA on Ubuntu 12.10 Open you your terminal and type in the following commands. sudo add-apt-repository ppa:webupd8team/java sudo apt-get update sudo apt-get install oracle-java7-installer once the installation is over, then check the version of the JAVA installed to make sure if the installation was successful. java -version

File_Combiner4Hadoop This shell script can be used to combine a set of small files into one or more big file. This script is very useful when working with hadoop( at least it did for me). With Hadoop the overhead involved in processing small files is very high. So it is better to combine all the small files and make one or more big files and use those big files for hadoop processing. At the same time if the "big/combined file" is more than the block size( by default it is 64MB) in hadoop, there is a possibility for the file to get split during the hadoop process( i.e one half of the file will be processed by one node and another half on another node). If you dont want the files to be split, then this is one of the easiest solution - combine the small files into one or more big files and make sure the big file's size does go above the hadoop block size ( in my case it is 64MB). This shell script has a parameter "-size" where you can specify the maximum all...