On Fri, Aug 31, 2012 at 1:15 PM, Eli Collins e...@cloudera.com wrote:
Yea, I think we should nuke 2.1.0-alpha and re-create when we're
actually going to do a release. On the HDFS side there's quite a few
things already waiting to get out, if it's going to take another 4 or
so weeks then would
Hi Arun et.al. I'd still be grateful if you could share what candidates
from 0.23 you would have cherry picked into 2.1.0, maybe the critical ones?
I will need to make this analysis at this point. Pointers would be
appreciated very much.
On Friday, August 31, 2012, Vinod Kumar Vavilapalli wrote:
Thanks for starting this thread, Steve. I think your points below are
good. I've snipped most of your comment and will reply inline to one
bit below:
On Fri, Aug 31, 2012 at 10:07 AM, Steve Loughran
steve.lough...@gmail.com wrote:
Of the big changes that have worked, they are
1. HDFS 2's
Hadoop 2.0 has been years of work in the making and is finally relatively
close. I think it would be a mistake to throw another impediment in the
way of getting a stable version of 2.0 done, as many folks have pointed
out. So I'd suggest that we plan to do a split once there is a broad
As a downstream user of and contributor to BigTop (though only once, I know
we need to do better, Roman), it would be awesome to see the community
rally around it as an integration point if the project splits into finer
grained components yet.
On Friday, August 31, 2012, Roman Shaposhnik wrote:
Or resurrect MR(v1) in Apache Hadoop as Apache YARN becomes a TLP, and let
the new YARN TLP decide if they want to use the Hadoop MR artifacts and/or
contribute patches that harmonize the implementation with theirs, or pursue
an alternate MR implementation within their larger framework.
I'd
Todd,
On Sep 1, 2012, at 1:20 AM, Todd Lipcon wrote:
I'd actually contend that YARN was merged too early. I have yet to see
anyone running YARN in production, and it's holding up the Stable
moniker for Hadoop 2.0 -- HDFS-wise we are already quite stable and
I'm seeing fewer issues in our
Its unfortunate that certain work, an year after accepted in to the main line,
being attributed to a single person. There is significant amount of work done
by people who are not in the PMC or a commiter, especially to get it running in
production. For those who have been associated with
Rajiv,
I'm pretty sure you mean '*blame* for certain work, [...], being
attributed' ... :)
I certainly find blame for failures much more palatable than credit
for collective successes.
IAC, thanks for chiming in, Hadoop will be better with you being more
present at the forefront.
Arun
On Sep
