Hi all,
I start this discussion to comment on the change to disable the use of mmap
by default, which represents a risk in non-local/pseudo file systems that
can affect performance.
Part of the solution would be to have a flag at the compilation level that
allows you to activate or deactivate the u
Hello,
I’m using arrow c++ as storage and computing structure of my own project,
which is a database based on PostgresSQL.
But when computing with a batch containing constant value column, the constant
value has to be expanded to an array to store into batch, which is waste of time
and memory.
Yes, I think you have the right understanding. That is what I was
originally trying to say by pointing out that our current solution
does not solve the serialization problem.
I think there is probably room for multiple approaches to this
problem. Each will have their own tradeoffs. For example,
+1
Our next major release will be in July or August. I think
that pypa will drop support for manylinux2010 officially
when release a next major version.
Thanks,
--
kou
In
"[DISC] (Python) Dropping support for manylinux2010" on Thu, 5 May 2022
13:01:47 +0200,
Jacob Wujciak wrote:
> Hi al
After reading the above PR, I think I understand the approach a bit more
now.
If I understand this correctly, the above UDF functionality is similar to
what I have in mind. The main difference seems to be "where and how are the
UDF executed"
(1) In the PR above, the UDF is passed to the Compute e
Hi,
I have created an initial skeleton for the blog post for the Arrow 8.0.0
release [1]. We can start adding the details around what information we
want that blog post to contain so we can publish it closer to the time when
we publish the release.
Please feel free to fill in the details for it.
+1 (non-binding)
I ran:
TEST_DEFAULT=0 TEST_CPP=1 dev/release/verify-release-candidate.sh 8.0.0 3
I also ran R CMD check locally on that commit, and only got the usual NOTE
about a large libs directory.
I ran into an OSError (too many open files) when trying with TEST_PYTHON=1,
but I assume this
"def pandas_rank(ctx, arr):
series = arr.to_pandas()
rank = series.rank()
return pa.array(rank)
"
Oh nice! I didn't get that from the original PR and does look this is
closer to the problem I am trying to solve. At this point I will understand
more about that PR and see if what I propo
That sounds ok to me.
Le 05/05/2022 à 13:01, Jacob Wujciak a écrit :
Hi all,
I would like to propose that we drop support for manylinux2010.
CentoOS 6, on which the manylinux2010 image is based, has been EOL for over
two years [1].
There is now also an official announcement by pypa that
man
non binding +1
On Thu, May 5, 2022 at 1:02 PM Jacob Wujciak wrote:
> Hi all,
>
> I would like to propose that we drop support for manylinux2010.
>
> CentoOS 6, on which the manylinux2010 image is based, has been EOL for over
> two years [1].
> There is now also an official announcement by pypa t
Hi all,
I would like to propose that we drop support for manylinux2010.
CentoOS 6, on which the manylinux2010 image is based, has been EOL for over
two years [1].
There is now also an official announcement by pypa that
manylinux2010 support will be dropped sometime in 2022 [2] that has not
receiv
+1 (non-binding)
I ran:
TEST_DEFAULT=0 TEST_CPP=1 TEST_GLIB=1 TEST_PYTHON=1 TEST_GO=1 TEST_JAVA=1
TEST_JS=1 TEST_RUBY=1 TEST_CSHARP=1 dev/release/verify-release-candidate.sh
8.0.0 3
on arch linux (5.17.5-arch1-1), x86_64 with:
gcc version 11.2.0 (GCC)
openjdk version "11.0.15" 2022-04-19
python 3
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