I'm thinking about using hadoop to process large text files on my existing windows 2003 servers (about 10 quad core machines with 16gb of RAM)
The questions are:
Is there any good tutorial on how to configure an hadoop cluster on windows?
What are the requirements? java + cygwin + sshd ? Anything else?
HDFS, does it play nice on windows?
I'd like to use hadoop in streaming mode. Any advice, tool or trick to develop my own mapper / reducers in c#?
What do you use for submitting and monitoring the jobs?
Thanks
From the Hadoop documentation:
Which I think translates to: "You're on your own."
That said, there might be hope if you're not queasy about installing Cygwin and a Java shim, according to the Getting Started page of the Hadoop wiki:
I guess the bottom line is that it doesn't sound impossible, but you'd be swimming upstream all the way. I've done a few Hadoop installs (on Linux for production, Mac for dev) now, and I wouldn't bother with Windows when it's so straightforward on other platforms.
If you're looking for map/reduce, you can try looking at MySpace's new map/reduce framework that runs on windows http://qizmt.myspace.com/
While not the answer you may want to hear, I would highly recommend repurposing the machines as, say, Linux servers, and running Hadoop there. You will benefit from tutorials and experience and testing performed on that platform, and spend your time solving business problems rather than operational issues.
However, you can still write your jobs in C#. Since Hadoop supports the "streaming" implementation, you can write your jobs in any language. With the Mono framework, you should be able to take pretty much any .NET code written on the Windows platform and just run the same binary on Linux.
You can also access HDFS from Windows fairly easily -- while I don't recommend running the Hadoop services on Windows, you can certainly run the DFS client from the Windows platform to copy files in and out of the distributed file system.
For submitting and monitoring jobs, I think that you're mainly on your own... I don't think that there are any good general-purpose systems developed for Hadoop job management yet.