My $0.02 is that whatever gets more attention, so you can get more good committers and patches, is what's best :)
On Thu, Apr 1, 2010 at 7:56 AM, Stack <st...@duboce.net> wrote: > On Thu, Mar 18, 2010 at 5:00 PM, Jonathan Gray <jg...@facebook.com> wrote: > > Annoyance has really not gotten us anywhere. And I don't think it > matters to those in Hadoop whether we are a TLP or SP, they will not (or > should not) be offended if we break off. Do you think they would take us > (or our patches) less seriously if we were a TLP? > > > > No. > > > What has pushed things forward is continuing to make HBase better so that > more people want to use it. A larger community and involvement from larger > companies will help push Hadoop changes aimed at HBase, especially when > those companies are Hadoop contributors. > > > > Agreed. > > > > If we do think we can get some HBase committers onto the Hadoop PMC, and > we think that this will make a material difference in outcomes for us, then > my opinion may change. Today I don't really think the issue is whether we > are on the Hadoop PMC or not... my understanding is that big decisions are > not voted on for a majority, if someone votes against it then it is tabled. > > > > The quoted rule where long-time Hadoop subproject committers become > Hadoop PMC members may not actually hold. Or, to put it a another > way, efforts at trying to take advantage of this rule have run into > resistance, understandably so -- as in, how does hbase expertise > entitle a committer to hdfs commit rights? -- and I do not intend to > push it further. > > So, that leaves the Jay Booth "stay and be annoying -- in a good way" > opinion, outstanding as a reason not to move. My current thought on > this is that the work involved will be the same regardless -- i.e. the > patch making, JIRA bashing, and consensus building -- whether we're > under the hadoop umbrella or up on a TLP perch. > > St.Ack > -- Bradford Stephens, Founder, Drawn to Scale drawntoscalehq.com 727.697.7528 http://www.drawntoscalehq.com -- The intuitive, cloud-scale data solution. Process, store, query, search, and serve all your data. http://www.roadtofailure.com -- The Fringes of Scalability, Social Media, and Computer Science
