I don't know if ditching Spark 1 out right right now would be a great move
given that a lot of the main support applications around spark haven't yet
fully moved to Spark 2 yet. Yet alone have support for having a cluster
with both. Oozie for example is still pre stable release for their Spark 1
and can't support a cluster with mixed Spark version. I think maybe doing
as suggested above with the common, spark1, spark2 packaging might be best
during this carry over phase. Maybe even just flag spark 1 as deprecated
and just being maintained might be enough.

On Wed, Nov 8, 2017 at 10:25 PM, Holden Karau <hol...@pigscanfly.ca> wrote:

> Also, upgrading Spark 1 to 2 is generally easier than changing JVM
> versions. For folks using YARN or the hosted environments it pretty much
> trivial since you can effectively have distinct Spark clusters for each
> job.
>
> On Wed, Nov 8, 2017 at 9:19 PM, Holden Karau <hol...@pigscanfly.ca> wrote:
>
> > I'm +1 on dropping Spark 1. There are a lot of exciting improvements in
> > Spark 2, and trying to write efficient code that runs between Spark 1 and
> > Spark 2 is super painful in the long term. It would be one thing if there
> > were a lot of people available to work on the Spark runners, but it seems
> > like we'd be better spent focusing our energy on the future.
> >
> > I don't know a lot of folks who are stuck on Spark 1, and the few that I
> > know are planning to migrate in the next few months anyways.
> >
> > Note: this is a non-binding vote as I'm not a committer or PMC member.
> >
> > On Wed, Nov 8, 2017 at 3:43 AM, Ted Yu <yuzhih...@gmail.com> wrote:
> >
> >> Having both Spark1 and Spark2 modules would benefit wider user base.
> >>
> >> I would vote for that.
> >>
> >> Cheers
> >>
> >> On Wed, Nov 8, 2017 at 12:51 AM, Jean-Baptiste Onofré <j...@nanthrax.net>
> >> wrote:
> >>
> >> > Hi Robert,
> >> >
> >> > Thanks for your feedback !
> >> >
> >> > From an user perspective, with the current state of the PR, the same
> >> > pipelines can run on both Spark 1.x and 2.x: the only difference is
> the
> >> > dependencies set.
> >> >
> >> > I'm calling the vote to get suck kind of feedback: if we consider
> Spark
> >> > 1.x still need to be supported, no problem, I will improve the PR to
> >> have
> >> > three modules (common, spark1, spark2) and let users pick the desired
> >> > version.
> >> >
> >> > Let's wait a bit other feedbacks, I will update the PR accordingly.
> >> >
> >> > Regards
> >> > JB
> >> >
> >> >
> >> > On 11/08/2017 09:47 AM, Robert Bradshaw wrote:
> >> >
> >> >> I'm generally a -0.5 on this change, or at least doing so hastily.
> >> >>
> >> >> As with dropping Java 7 support, I think this should at least be
> >> >> announced in release notes that we're considering dropping support in
> >> >> the subsequent release, as this dev list likely does not reach a
> >> >> substantial portion of the userbase.
> >> >>
> >> >> How much work is it to move from a Spark 1.x cluster to a Spark 2.x
> >> >> cluster? I get the feeling it's not nearly as transparent as
> upgrading
> >> >> Java versions. Can Spark 1.x pipelines be run on Spark 2.x clusters,
> >> >> or is a new cluster (and/or upgrading all pipelines) required (e.g.
> >> >> for those who operate spark clusters shared among their many users)?
> >> >>
> >> >> Looks like the latest release of Spark 1.x was about a year ago,
> >> >> overlapping a bit with the 2.x series which is coming up on 1.5 years
> >> >> old, so I could see a lot of people still using 1.x even if 2.x is
> >> >> clearly the future. But it sure doesn't seem very backwards
> >> >> compatible.
> >> >>
> >> >> Mostly I'm not comfortable with dropping 1.x in the same release as
> >> >> adding support for 2.x, giving no transition period, but could be
> >> >> convinced if this transition is mostly a no-op or no one's still
> using
> >> >> 1.x. If there's non-trivial code complexity issues, I would perhaps
> >> >> revisit the issue of having a single Spark Runner that does chooses
> >> >> the backend implicitly in favor of simply having two runners which
> >> >> share the code that's easy to share and diverge otherwise (which
> seems
> >> >> it would be much simpler both to implement and explain to users). I
> >> >> would be OK with even letting the Spark 1.x runner be somewhat
> >> >> stagnant (e.g. few or no new features) until we decide we can kill it
> >> >> off.
> >> >>
> >> >> On Tue, Nov 7, 2017 at 11:27 PM, Jean-Baptiste Onofré <
> j...@nanthrax.net
> >> >
> >> >> wrote:
> >> >>
> >> >>> Hi all,
> >> >>>
> >> >>> as you might know, we are working on Spark 2.x support in the Spark
> >> >>> runner.
> >> >>>
> >> >>> I'm working on a PR about that:
> >> >>>
> >> >>> https://github.com/apache/beam/pull/3808
> >> >>>
> >> >>> Today, we have something working with both Spark 1.x and 2.x from a
> >> code
> >> >>> standpoint, but I have to deal with dependencies. It's the first
> step
> >> of
> >> >>> the
> >> >>> update as I'm still using RDD, the second step would be to support
> >> >>> dataframe
> >> >>> (but for that, I would need PCollection elements with schemas,
> that's
> >> >>> another topic on which Eugene, Reuven and I are discussing).
> >> >>>
> >> >>> However, as all major distributions now ship Spark 2.x, I don't
> think
> >> >>> it's
> >> >>> required anymore to support Spark 1.x.
> >> >>>
> >> >>> If we agree, I will update and cleanup the PR to only support and
> >> focus
> >> >>> on
> >> >>> Spark 2.x.
> >> >>>
> >> >>> So, that's why I'm calling for a vote:
> >> >>>
> >> >>>    [ ] +1 to drop Spark 1.x support and upgrade to Spark 2.x only
> >> >>>    [ ] 0 (I don't care ;))
> >> >>>    [ ] -1, I would like to still support Spark 1.x, and so having
> >> >>> support of
> >> >>> both Spark 1.x and 2.x (please provide specific comment)
> >> >>>
> >> >>> This vote is open for 48 hours (I have the commits ready, just
> waiting
> >> >>> the
> >> >>> end of the vote to push on the PR).
> >> >>>
> >> >>> Thanks !
> >> >>> Regards
> >> >>> JB
> >> >>> --
> >> >>> Jean-Baptiste Onofré
> >> >>> jbono...@apache.org
> >> >>> http://blog.nanthrax.net
> >> >>> Talend - http://www.talend.com
> >> >>>
> >> >>
> >> > --
> >> > Jean-Baptiste Onofré
> >> > jbono...@apache.org
> >> > http://blog.nanthrax.net
> >> > Talend - http://www.talend.com
> >> >
> >>
> >
> >
> >
> > --
> > Twitter: https://twitter.com/holdenkarau
> >
>
>
>
> --
> Twitter: https://twitter.com/holdenkarau
>



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