+1 to everything that Kou said.
On Tue, Nov 10, 2020 at 8:53 PM Sutou Kouhei wrote:
> Hi,
>
> I agree with Wes. We can automate more release related
> tasks. I hope that we produce and verify release artifacts
> nightly.
>
> See also:
> [DISCUSS] Release cadence and release vote conventions
>
>
Hi,
I agree with Wes. We can automate more release related
tasks. I hope that we produce and verify release artifacts
nightly.
See also:
[DISCUSS] Release cadence and release vote conventions
Congratulations, Andrew.
Best,
Liya Fan
On Wed, Nov 11, 2020 at 7:50 AM Keerat Singh
wrote:
> Congratulations Andrew.
>
> On Tue, Nov 10, 2020 at 11:12 AM Andrew Lamb wrote:
>
> > Thank you all for your welcome and the effort you put into fostering this
> > great community. I look forward
We do need a PMC member to sign the release artifacts. Aside from
that, IMHO there is a lot that can be done to improve the automation
around producing the release artifacts and preparing the release
branch.
As Krisztian can attest, producing a release currently requires a
_lot_ of human time
Sorry, I should clarify, I'm not familiar with zero copy from Pandas to
Arrow, so there might be something else going on here. But once an arrow
file is written out, buffers will be padded/aligned to 8 bytes.
In general, I think relying on exact memory translation from systems that
aren't used
>
> My question is: why are these addresses not 40 bytes apart from each other?
> What's in the gaps between the buffers? It's not null bitsets - there's
> only one buffer for each column. Thanks -
All buffers are padded to at least 8 bytes (and per the spec 64 is
recommended).
On Tue, Nov 10,
Congratulations Andrew.
On Tue, Nov 10, 2020 at 11:12 AM Andrew Lamb wrote:
> Thank you all for your welcome and the effort you put into fostering this
> great community. I look forward to continuing to work with you all.
>
> Andrew
>
> On Tue, Nov 10, 2020 at 1:01 PM Chao Sun wrote:
>
> >
I've done a bit more digging. This code:
df = pd.DataFrame(np.random.randint(10, size=(5, 5)))
table = pa.Table.from_pandas(df)
mem = []
for c in table.columns:
buf = c.chunks[0].buffers()[1]
mem.append((buf.address, buf.size))
sorted(mem)
...prints...
[(140262915478912,
Hi Wes,
Is it only the PMC members that can volunteer to drive this or can someone
from the community volunteer and drive as well if they desire to have a
release sooner?
I see that the release process has a fairly comprehensive checklist of
tasks here(
Thank you all for your welcome and the effort you put into fostering this
great community. I look forward to continuing to work with you all.
Andrew
On Tue, Nov 10, 2020 at 1:01 PM Chao Sun wrote:
> Congrats Andrew!
>
> On Tue, Nov 10, 2020 at 9:21 AM Micah Kornfield
> wrote:
>
> > Congrats!
Congrats Andrew!
On Tue, Nov 10, 2020 at 9:21 AM Micah Kornfield
wrote:
> Congrats!
>
> On Tue, Nov 10, 2020 at 8:51 AM Ying Zhou wrote:
>
> > Congratulations Andrew!
> >
> > > On Nov 10, 2020, at 10:42 AM, Andy Grove
> wrote:
> > >
> > > On behalf of the Arrow PMC, I'm happy to announce that
Congrats!
On Tue, Nov 10, 2020 at 8:51 AM Ying Zhou wrote:
> Congratulations Andrew!
>
> > On Nov 10, 2020, at 10:42 AM, Andy Grove wrote:
> >
> > On behalf of the Arrow PMC, I'm happy to announce that Andrew Lamb has
> > accepted an invitation to become a committer on Apache Arrow.
> >
> >
Congratulations Andrew!
> On Nov 10, 2020, at 10:42 AM, Andy Grove wrote:
>
> On behalf of the Arrow PMC, I'm happy to announce that Andrew Lamb has
> accepted an invitation to become a committer on Apache Arrow.
>
> Welcome, and thank you for your contributions!
Congrats Andrew! Look forward to working more with you
On Tue, 10 Nov 2020, 18:07 Jorge Cardoso Leitão,
wrote:
> Congrats, Andrew!
>
> Andrew has been doing an amazing job, both on the implementation but also
> at reviewing and helping others. He taught me a lot, I am having a great
> time
Congrats, Andrew!
Andrew has been doing an amazing job, both on the implementation but also
at reviewing and helping others. He taught me a lot, I am having a great
time working with him and I am thus really happy about this.
Best,
Jorge
On Tue, Nov 10, 2020 at 4:42 PM Andy Grove wrote:
> On
Congrats Andrew!
On Tue, Nov 10, 2020 at 9:42 AM Andy Grove wrote:
> On behalf of the Arrow PMC, I'm happy to announce that Andrew Lamb has
> accepted an invitation to become a committer on Apache Arrow.
>
> Welcome, and thank you for your contributions!
>
On behalf of the Arrow PMC, I'm happy to announce that Andrew Lamb has
accepted an invitation to become a committer on Apache Arrow.
Welcome, and thank you for your contributions!
Yes, open a Jira and propose a PR implementing the changes you need
On Mon, Nov 9, 2020 at 8:31 PM Niranda Perera wrote:
>
> @wes How should I proceed with this nevertheless? should I open a JIRA?
>
> On Mon, Nov 9, 2020 at 11:09 AM Wes McKinney wrote:
>
> > On Mon, Nov 9, 2020 at 9:32 AM
Arrow Build Report for Job nightly-2020-11-10-0
All tasks:
https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-11-10-0
Failed Tasks:
- conda-linux-gcc-py38-cuda:
URL:
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