+1.

I think this is a reasonable target time line for Java refactoring.

On Mon, Nov 6, 2017 at 12:51 PM, Wes McKinney <wesmck...@gmail.com> wrote:

> hi everyone,
>
> With the number of items that are still up in the air for 0.8.0, and
> the fact that it would be great to get the Java vector refactor into
> the release, I would propose we continue pushing development until the
> end of next week, i.e. through ~ Friday November 17. I have also been
> traveling and have not been able to write as many patches as I would
> like.
>
> It might also be good during this time frame to make sure that the
> Spark-Arrow integration is able to migrate to the new API after 0.8.0.
> There is an open JIRA about adding a Dockerized setup for integration
> testing with Spark, so this might be good motivation to set up a
> head-to-head integration tests between Spark master and Arrow master.
>
> Since the following week of 11/20 has the US Thanksgiving Holiday,
> it's likely to be a slow development week anyway, so we could put out
> an RC on Monday of that week assuming all is going well.
>
> best
> Wes
>
> On Mon, Oct 30, 2017 at 2:52 PM, Wes McKinney <wesmck...@gmail.com> wrote:
> > hi folks,
> >
> > With the way things are looking, I think we should aim to have all
> > 0.8.0 work wrapped up by the end of next week, and hopefully be
> > positioned to make a release candidate on Monday Nov 13 or Tuesday Nov
> > 14.
> >
> > There are still 53 JIRAs in TODO in the release milestone and several
> > in progress
> >
> > https://issues.apache.org/jira/projects/ARROW/versions/12341352
> >
> > It's likely we will have to slightly trim scope as the release nears,
> > but I would like for as much as possible of this work to get done in
> > time, so I will personally be pushing very hard throughout this week
> > and next week.
> >
> > We have quite a lot of loose ends at the moment and many PRs in
> > various states of review. There is also the in-progress Java vector
> > hierarchy refactor. Since the Java refactor is important for
> > downstream users like Spark 2.3.0 it would be great to get this into
> > 0.8.0.
> >
> > Thanks,
> > Wes
>

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