These programs are not particularly compute bound in most cases and Java suffices to saturate the I/O bandwidth.
Besides, reasonably written java code tends to be just as fast as similar C++ code. Even for hard-core numerical applications, you have a very hard time beating java (take a look at the Colt benchmarks). On 9/6/07 12:56 AM, "Pietu Pohjalainen" <[EMAIL PROTECTED]> wrote: > Jeroen Verhagen wrote: >> On 9/5/07, Steve Schlosser <[EMAIL PROTECTED]> wrote: >> >>> question, but I was wondering if anyone has a reasonable qualitative >>> answer that I can pass on when people ask. >>> >> Is this question really relevant since Hadoop is designed to run on a >> cluster of commodity hardware Google-style? If there were any >> difference I'm sure it would be solved by adding 1 machine to the >> cluster. >> > > > Isn't it about whether to add 30% or 50% more machines? Which is > starting to get significant when you think whether to have 1000 or 1500 > machines. > > br, > Pietu
