-1 We should have a CI infrastructure in place before we can commit to supporting Windows platform.
Eric is right Win/Cygwin was supported since day one. I had a Windows box under my desk running nightly builds back in 2006-07. People were irritated but I was filing windows bugs until 0.22 release. Times changing and I am glad to see wider support for Win platform. But in order to make it work you guys need to put the CI process in place 1. windows jenkins build: could be nightly or PreCommit. - Nightly would mean that changes can be committed to trunk based on linux PreCommit build. And people will file bugs if the change broke Windows nightly build. - PreCommit-win build will mean automatic reporting failed tests to respective jira blocking commits the same way as it is now with linux PreCommit builds. We should discuss which way is more efficient for developers. 2. On-demand-windows Jenkins build. I see it as a build to which I can attach my patch and the build will run my changes on a dedicated windows box. That way people can test their changes without having personal windows nodes. I think this is the minimal set of requirement for us to be able to commit to the new platform. Right now I see only one windows related build https://builds.apache.org/view/Hadoop/job/Hadoop-1-win/ Which was failing since Sept 8, 2012 and did not run in the last month. Thanks, --Konst On Thu, Feb 28, 2013 at 8:47 PM, Eric Baldeschwieler <eri...@hortonworks.com> wrote: > +1 (non-binding) > > A few of observations: > > - Windows has actually been a supported platform for Hadoop since 0.1 . Doug > championed supporting windows then and we've continued to do it with varying > vigor over time. To my knowledge we've never made a decision to drop windows > support. The change here is improving our support and dropping the > requirement of cigwin. We had Nutch windows users on the list in 2006 and > we've been supporting windows FS requirements since inception. > > - A little pragmatism will go a long way. As a community we've got to stay > committed to keeping hadoop simple (so it does work on many platforms) and > extending it to take advantage of key emerging OS/hardware features, such as > containers, new FSs, virtualization, flash ... We should all plan to let new > features & optimizations emerge that don't work everywhere, if they are > compelling and central to hadoop's mission of being THE best fabric for > storing and processing big data. > > - A UI project like KDE has to deal with the MANY differences between windows > and linux UI APIs. Hadoop faces no such complex challenge and hence can be > maintained from a single codeline IMO. It is mostly abstracted from the OS > APIs via Java and our design choices. Where it is not we can continue to add > plugable abstractions. >
