The Apache Arrow community is pleased to announce the 5.0.0 release.
The release includes 555 resolved issues ([1]) since the 4.0.0 release.
The release is available now from our website, [2] and [3]:
https://arrow.apache.org/install/
Release notes are available at:
https://arrow.apache.o
Current status of the post-release tasks:
1. [x] bump versions on main branch
[x] push development tag
2. [x] upload source
3. [x] upload binaries
4. [x] update website
5. [x] upload ruby gems
6. [x] upload js packages
8. [x] upload C# packages
10. [in-progress] update conda recipes
My mistake, I confused the input type to kernels as Datums, when they are
in fact Scalar and ArrayData.
I agree that SIMD details should not be exposed in the kernel API.
~Eduardo
On Wed, Jul 28, 2021 at 6:38 PM Wes McKinney wrote:
> On Wed, Jul 28, 2021 at 5:23 PM Eduardo Ponce wrote:
> >
> >
On Wed, Jul 28, 2021 at 5:23 PM Eduardo Ponce wrote:
>
> Hi all,
>
> I agree with supporting finer-grained parallelism in the compute operators.
> I think that incorporating a Datum-like span, would allow expressing
> parallelism not only
> on a per-thread basis but can also be used to represent S
Hi all,
I agree with supporting finer-grained parallelism in the compute operators.
I think that incorporating a Datum-like span, would allow expressing
parallelism not only
on a per-thread basis but can also be used to represent SIMD spans, where
span length
is directed by vector ISA, "L2" cache
On Wed, Jul 28, 2021 at 5:39 AM Antoine Pitrou wrote:
>
>
> Le 28/07/2021 à 03:33, Wes McKinney a écrit :
> >
> > I don't have the solution worked out for this, but the basic gist is:
> >
> > * To be 10-100x more efficient ExecBatch slicing cannot call
> > ArrayData::Slice for every field like it
Current status of the post-release tasks:
1. [x] bump versions on main branch
[x] push development tag
2. [x] upload source
3. [in-progress] upload binaries
4. [x] update website
5. [x] upload ruby gems
6. [x] upload js packages
8. [x] upload C# packages
10. [ ] update conda recipes
11.
We have been working on a proposal[1] to improve the grouping operation in
DataFusion (driven by the need to correctly support grouping by nulls).
I just wanted to point it out on this list in case anyone would like to
comment
Thank you,
Andrew
[1] https://github.com/apache/arrow-datafusion/issu
Current status of the post-release tasks:
1. [x] bump versions on main branch
[x] push development tag
2. [x] upload source
3. [in-progress] upload binaries
4. [x] update website
5. [x] upload ruby gems
6. [x] upload js packages
8. [x] upload C# packages
10. [ ] update conda recipes
11.
hi Alessandro — I just merged the PR, thank you! I would still like us
to move to use ipython_directive in the authoring of Python examples
so that authors do not have to copy-paste console output into the
recipes, but that doesn't have to be addressed right now.
Thanks,
Wes
On Wed, Jul 28, 2021
Hi Rares,
We have an open Jira issue for this at
https://issues.apache.org/jira/browse/ARROW-12755, and some other
related issues linked from it. Please comment there if you have
suggestions for the implementation.
Thank you,
Ian
On Wed, Jul 28, 2021 at 7:15 AM Antoine Pitrou wrote:
>
>
> Hell
Hi everybody,
The Cookbook PR has been open for more than a week at this point and we
have received tons of great feedback and suggestions, many of which we
incorporated already.
For the benefit of being able to verify the publishing workflow and the CI
I'd love to ask if there is anyone who could
The VOTE carries with 4 binding +1 and 2 non-binding +1 votes.
Thanks everyone!
I'm starting the post release tasks and will keep you posted about the
current status.
On Wed, Jul 28, 2021 at 2:28 PM Krisztián Szűcs
wrote:
>
> +1 (binding)
>
> Verified on Intel macOS Big Sur.
> The verification
+1 (binding)
Verified on Intel macOS Big Sur.
The verification tasks [1] have passed except the integration tests
due to the go issue.
[1]: https://github.com/apache/arrow/pull/10816
On Tue, Jul 27, 2021 at 6:53 PM Krisztián Szűcs
wrote:
>
> During the verification of M1 wheels we discovered an
Hello Rares,
I agree with defining a new modulo compute function (or "remainder"?).
However, there also needs to be a checked version that returns an error
for invalid input (e.g. division by zero).
Regards
Antoine.
Le 28/07/2021 à 13:04, Rares Vernica a écrit :
Hello,
I'm making use of
PS a is an integer array and b is an integer scalar.
On Wed, Jul 28, 2021 at 1:04 PM Rares Vernica wrote:
> Hello,
>
> I'm making use of the Compute Functions to do some basic arithmetic. One
> operation I need to perform is the modulo, i.e., a % b. I'm debating
> between two options:
>
> 1. Com
Hello,
I'm making use of the Compute Functions to do some basic arithmetic. One
operation I need to perform is the modulo, i.e., a % b. I'm debating
between two options:
1. Compute it using the available Compute Functions using a % b = a - a / b
* b, where / is the integer division. I assume that
Le 28/07/2021 à 03:33, Wes McKinney a écrit :
I don't have the solution worked out for this, but the basic gist is:
* To be 10-100x more efficient ExecBatch slicing cannot call
ArrayData::Slice for every field like it does now
* Atomics associated with interacting with shared_ptr /
shared_ptr
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