Just for reference [1] has a dashboard of the current issues:

https://cwiki.apache.org/confluence/display/ARROW/Arrow+0.15.0+Release

On Thu, Sep 5, 2019 at 3:43 PM Wes McKinney <wesmck...@gmail.com> wrote:

> hi all,
>
> It doesn't seem like we're going to be in a position to release at the
> beginning of next week. I hope that one more week of work (or less)
> will be enough to get us there. Aside from merging the alignment
> changes, we need to make sure that our packaging jobs required for the
> release candidate are all working.
>
> If folks could remove issues from the 0.15.0 backlog that they don't
> think they will finish by end of next week that would help focus
> efforts (there are currently 78 issues in 0.15.0 still). I am looking
> to tackle a few small features related to dictionaries while the
> release window is still open.
>
> - Wes
>
> On Tue, Aug 27, 2019 at 3:48 PM Wes McKinney <wesmck...@gmail.com> wrote:
> >
> > hi,
> >
> > I think we should try to release the week of September 9, so
> > development work should be completed by end of next week.
> >
> > Does that seem reasonable?
> >
> > I plan to get up a patch for the protocol alignment changes for C++ in
> > the next couple of days -- I think that getting the alignment work
> > done is the main barrier to releasing.
> >
> > Thanks
> > Wes
> >
> > On Mon, Aug 19, 2019 at 12:25 PM Ji Liu <niki...@aliyun.com.invalid>
> wrote:
> > >
> > > Hi, Wes, on the java side, I can think of several bugs that need to be
> fixed or reminded.
> > >
> > > i. ARROW-6040: Dictionary entries are required in IPC streams even
> when empty[1]
> > > This one is under review now, however through this PR we find that
> there seems a bug in java reading and writing dictionaries in IPC which is
> Inconsistent with spec[2] since it assumes all dictionaries are at the
> start of stream (see details in PR comments,  and this fix may not catch up
> with version 0.15). @Micah Kornfield
> > >
> > > ii. ARROW-1875: Write 64-bit ints as strings in integration test JSON
> files[3]
> > > Java side code already checked in, other implementations seems not.
> > >
> > > iii. ARROW-6202: OutOfMemory in JdbcAdapter[4]
> > > Caused by trying to load all records in one contiguous batch, fixed by
> providing iterator API for iteratively reading in ARROW-6219[5].
> > >
> > > Thanks,
> > > Ji Liu
> > >
> > > [1] https://github.com/apache/arrow/pull/4960
> > > [2] https://arrow.apache.org/docs/ipc.html
> > > [3] https://issues.apache.org/jira/browse/ARROW-1875
> > > [4] https://issues.apache.org/jira/browse/ARROW-6202[5]
> https://issues.apache.org/jira/browse/ARROW-6219
> > >
> > >
> > >
> > > ------------------------------------------------------------------
> > > From:Wes McKinney <wesmck...@gmail.com>
> > > Send Time:2019年8月19日(星期一) 23:03
> > > To:dev <dev@arrow.apache.org>
> > > Subject:Re: Timeline for 0.15.0 release
> > >
> > > I'm going to work some on organizing the 0.15.0 backlog some this
> > > week, if anyone wants to help with grooming (particularly for
> > > languages other than C++/Python where I'm focusing) that would be
> > > helpful. There have been almost 500 JIRA issues opened since the
> > > 0.14.0 release, so we should make sure to check whether there's any
> > > regressions or other serious bugs that we should try to fix for
> > > 0.15.0.
> > >
> > > On Thu, Aug 15, 2019 at 6:23 PM Wes McKinney <wesmck...@gmail.com>
> wrote:
> > > >
> > > > The Windows wheel issue in 0.14.1 seems to be
> > > >
> > > > https://issues.apache.org/jira/browse/ARROW-6015
> > > >
> > > > I think the root cause could be the Windows changes in
> > > >
> > > >
> https://github.com/apache/arrow/commit/223ae744cc2a12c60cecb5db593263a03c13f85a
> > > >
> > > > I would be appreciative if a volunteer would look into what was wrong
> > > > with the 0.14.1 wheels on Windows. Otherwise 0.15.0 Windows wheels
> > > > will be broken, too
> > > >
> > > > The bad wheels can be found at
> > > >
> > > > https://bintray.com/apache/arrow/python#files/python%2F0.14.1
> > > >
> > > > On Thu, Aug 15, 2019 at 1:28 PM Antoine Pitrou <solip...@pitrou.net>
> wrote:
> > > > >
> > > > > On Thu, 15 Aug 2019 11:17:07 -0700
> > > > > Micah Kornfield <emkornfi...@gmail.com> wrote:
> > > > > > >
> > > > > > > In C++ they are
> > > > > > > independent, we could have 32-bit array lengths and
> variable-length
> > > > > > > types with 64-bit offsets if we wanted (we just wouldn't be
> able to
> > > > > > > have a List child with more than INT32_MAX elements).
> > > > > >
> > > > > > I think the point is we could do this in C++ but we don't.  I'm
> not sure we
> > > > > > would have introduced the "Large" types if we did.
> > > > >
> > > > > 64-bit offsets take twice as much space as 32-bit offsets, so if
> you're
> > > > > storing lots of small-ish lists or strings, 32-bit offsets are
> > > > > preferrable.  So even with 64-bit array lengths from the start it
> would
> > > > > still be beneficial to have types with 32-bit offsets.
> > > > >
> > > > > > Going with the limited address space in Java and calling it a
> reference
> > > > > > implementation seems suboptimal. If a consumer uses a "Large"
> type
> > > > > > presumably it is because they need the ability to store more
> than INT32_MAX
> > > > > > child elements in a column, otherwise it is just wasting space
> [1].
> > > > >
> > > > > Probably. Though if the individual elements (lists or strings) are
> > > > > large, not much space is wasted in proportion, so it may be
> simpler in
> > > > > such a case to always create a "Large" type array.
> > > > >
> > > > > > [1] I suppose theoretically there might be some performance
> benefits on
> > > > > > 64-bit architectures to using the native word sizes.
> > > > >
> > > > > Concretely, common 64-bit architectures don't do that, as 32-bit
> is an
> > > > > extremely common integer size even in high-performance code.
> > > > >
> > > > > Regards
> > > > >
> > > > > Antoine.
> > > > >
> > > > >
> > >
>

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