We made incompatible api changes whose impact we don't know yet completely
: both from implementation and usage point of view.

We had the option of getting real-world feedback from the user community if
we had gone to 0.10 but the spark developers seemed to be in a hurry to get
to 1.0 - so I made my opinion known but left it to the wisdom of larger
group of committers to decide ... I did not think it was critical enough to
do a binding -1 on.

Regards
Mridul
On 17-May-2014 9:43 pm, "Mark Hamstra" <m...@clearstorydata.com> wrote:

> Which of the unresolved bugs in spark-core do you think will require an
> API-breaking change to fix?  If there are none of those, then we are still
> essentially on track for a 1.0.0 release.
>
> The number of contributions and pace of change now is quite high, but I
> don't think that waiting for the pace to slow before releasing 1.0 is
> viable.  If Spark's short history is any guide to its near future, the pace
> will not slow by any significant amount for any noteworthy length of time,
> but rather will continue to increase.  What we need to be aiming for, I
> think, is to have the great majority of those new contributions being made
> to MLLlib, GraphX, SparkSQL and other areas of the code that we have
> clearly marked as not frozen in 1.x. I think we are already seeing that,
> but if I am just not recognizing breakage of our semantic versioning
> guarantee that will be forced on us by some pending changes, now would be a
> good time to set me straight.
>
>
> On Sat, May 17, 2014 at 4:26 AM, Mridul Muralidharan <mri...@gmail.com
> >wrote:
>
> > I had echoed similar sentiments a while back when there was a discussion
> > around 0.10 vs 1.0 ... I would have preferred 0.10 to stabilize the api
> > changes, add missing functionality, go through a hardening release before
> > 1.0
> >
> > But the community preferred a 1.0 :-)
> >
> > Regards,
> > Mridul
> >
> > On 17-May-2014 3:19 pm, "Sean Owen" <so...@cloudera.com> wrote:
> > >
> > > On this note, non-binding commentary:
> > >
> > > Releases happen in local minima of change, usually created by
> > > internally enforced code freeze. Spark is incredibly busy now due to
> > > external factors -- recently a TLP, recently discovered by a large new
> > > audience, ease of contribution enabled by Github. It's getting like
> > > the first year of mainstream battle-testing in a month. It's been very
> > > hard to freeze anything! I see a number of non-trivial issues being
> > > reported, and I don't think it has been possible to triage all of
> > > them, even.
> > >
> > > Given the high rate of change, my instinct would have been to release
> > > 0.10.0 now. But won't it always be very busy? I do think the rate of
> > > significant issues will slow down.
> > >
> > > Version ain't nothing but a number, but if it has any meaning it's the
> > > semantic versioning meaning. 1.0 imposes extra handicaps around
> > > striving to maintain backwards-compatibility. That may end up being
> > > bent to fit in important changes that are going to be required in this
> > > continuing period of change. Hadoop does this all the time
> > > unfortunately and gets away with it, I suppose -- minor version
> > > releases are really major. (On the other extreme, HBase is at 0.98 and
> > > quite production-ready.)
> > >
> > > Just consider this a second vote for focus on fixes and 1.0.x rather
> > > than new features and 1.x. I think there are a few steps that could
> > > streamline triage of this flood of contributions, and make all of this
> > > easier, but that's for another thread.
> > >
> > >
> > > On Fri, May 16, 2014 at 8:50 PM, Mark Hamstra <m...@clearstorydata.com
> >
> > wrote:
> > > > +1, but just barely.  We've got quite a number of outstanding bugs
> > > > identified, and many of them have fixes in progress.  I'd hate to see
> > those
> > > > efforts get lost in a post-1.0.0 flood of new features targeted at
> > 1.1.0 --
> > > > in other words, I'd like to see 1.0.1 retain a high priority relative
> > to
> > > > 1.1.0.
> > > >
> > > > Looking through the unresolved JIRAs, it doesn't look like any of the
> > > > identified bugs are show-stoppers or strictly regressions (although I
> > will
> > > > note that one that I have in progress, SPARK-1749, is a bug that we
> > > > introduced with recent work -- it's not strictly a regression because
> > we
> > > > had equally bad but different behavior when the DAGScheduler
> exceptions
> > > > weren't previously being handled at all vs. being slightly
> mis-handled
> > > > now), so I'm not currently seeing a reason not to release.
> >
>

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