Hi, I am sorry for the beginners question but... I have a spark java code which reads a file (c:\my-input.csv) process it and writes an output file (my-output.csv) Now I want to run it on Hadoop in a distributed environment 1) My inlut file should be one big file or separate smaller files? 2) if we are using smaller files, how does my code needs to change to process all of the input files?
Will Hadoop just copy the files to different servers or will it also split their content among servers? Any example will be great! -- Eran | CTO
