Praveen Kumar created ARROW-7424:
Summary: Cast Decimals to throw error on overflow
Key: ARROW-7424
URL: https://issues.apache.org/jira/browse/ARROW-7424
Project: Apache Arrow
Issue Type: Imp
Abishek Muthian created ARROW-7423:
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Summary: Pyarrow ARM install fails from source with no clear error
Key: ARROW-7423
URL: https://issues.apache.org/jira/browse/ARROW-7423
Project: Apache Arrow
Abishek Muthian created ARROW-7422:
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Summary: Improper CPU flags failing pyarrow install in ARM devices
Key: ARROW-7422
URL: https://issues.apache.org/jira/browse/ARROW-7422
Project: Apache Arrow
Kenta Murata created ARROW-7421:
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Summary: [C++] Support creating SparseCSRMatrix and
SparseCSCMatrix from 0d and 1d Tensors
Key: ARROW-7421
URL: https://issues.apache.org/jira/browse/ARROW-7421
Project
Kenta Murata created ARROW-7420:
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Summary: [C++] Migrate internal functions of SparseTensor to
Result-returning version
Key: ARROW-7420
URL: https://issues.apache.org/jira/browse/ARROW-7420
Project: Apa
Kenta Murata created ARROW-7419:
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Summary: [Python] Support SparseCSCMatrix
Key: ARROW-7419
URL: https://issues.apache.org/jira/browse/ARROW-7419
Project: Apache Arrow
Issue Type: New Feature
Created: https://issues.apache.org/jira/browse/ARROW-7418
In
"Re: [NIGHTLY] Arrow Build Report for Job nightly-2019-12-16-0" on Mon, 16
Dec 2019 13:56:56 -0600,
Wes McKinney wrote:
> The Ubuntu 16.04 failure seems legitimate, is there a JIRA issue?
>
> https://circleci.com/gh/ursa-labs/cr
Kouhei Sutou created ARROW-7418:
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Summary: [C++] Can't build with g++ 5.4.0 on Ubuntu 16.04
Key: ARROW-7418
URL: https://issues.apache.org/jira/browse/ARROW-7418
Project: Apache Arrow
Issue Typ
Kouhei Sutou created ARROW-7417:
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Summary: [C++] Add a docker-compose entry for CUDA 10.1
Key: ARROW-7417
URL: https://issues.apache.org/jira/browse/ARROW-7417
Project: Apache Arrow
Issue Type:
Hello,
Following Jacques's feedback, I drafted a new version of the C data
interface spec.
The spec PR is here:
https://github.com/apache/arrow/pull/6040
Direct link to the RST file:
https://github.com/apache/arrow/blob/5d8669d371401f9db12326b079e13c0058ba972b/docs/source/format/CDataInterface.
I'm working on the macos-r-autobrew failure, which is related to last
week's R 3.6.2 release: https://issues.apache.org/jira/browse/ARROW-7416
On Tue, Dec 17, 2019 at 6:03 AM Crossbow wrote:
>
> Arrow Build Report for Job nightly-2019-12-17-0
>
> All tasks:
> https://github.com/ursa-labs/crossbo
from the failure on 3.6.2:
https://dl.bintray.com/ursalabs/arrow-r/logs/bin/macosx/el-capitan/contrib/3.6/20191216-00install.out
Here is the log from success on 3.6.0:
https://dl.bintray.com/ursalabs/arrow-r/logs/bin/macosx/el-capitan/contrib/3.6/20191217-00install.out
On 3.6.2, there’s a longer
Ben Kietzman created ARROW-7415:
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Summary: [C++][Dataset] Implement IpcFormat for sources composed
of ipc files
Key: ARROW-7415
URL: https://issues.apache.org/jira/browse/ARROW-7415
Project: Apache Arro
Ben Kietzman created ARROW-7414:
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Summary: [R][Dataset] Add tests for PartitionSchemeDiscovery
Key: ARROW-7414
URL: https://issues.apache.org/jira/browse/ARROW-7414
Project: Apache Arrow
Issue
Ben Kietzman created ARROW-7413:
---
Summary: [c
Key: ARROW-7413
URL: https://issues.apache.org/jira/browse/ARROW-7413
Project: Apache Arrow
Issue Type: Improvement
Reporter: Ben Kietz
Neal Richardson created ARROW-7412:
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Summary: [C++][Dataset] Ensure that dataset code is robust to
schemas with duplicate field names
Key: ARROW-7412
URL: https://issues.apache.org/jira/browse/ARROW-7412
Chengxin Ma created ARROW-7411:
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Summary: [C++][Flight] Incorrect Arrow Flight benchmark output
Key: ARROW-7411
URL: https://issues.apache.org/jira/browse/ARROW-7411
Project: Apache Arrow
Issue
Antoine Pitrou created ARROW-7410:
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Summary: [C++] [Python] [Doc] Document filesystem APIs
Key: ARROW-7410
URL: https://issues.apache.org/jira/browse/ARROW-7410
Project: Apache Arrow
Issue Ty
Arrow Build Report for Job nightly-2019-12-17-0
All tasks:
https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2019-12-17-0
Failed Tasks:
- conda-osx-clang-py27:
URL:
https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2019-12-17-0-azure-conda-osx-clang-py27
- cond
Raul Bocanegra created ARROW-7409:
-
Summary: [C++][Python] Windows link error LNK1104: cannot open
file 'python37_d.lib'
Key: ARROW-7409
URL: https://issues.apache.org/jira/browse/ARROW-7409
Project:
Op wo 27 nov. 2019 om 19:37 schreef Wes McKinney :
> On Tue, Nov 26, 2019 at 9:40 AM Maarten Breddels
> wrote:
> >
> > Op di 26 nov. 2019 om 15:02 schreef Wes McKinney :
> >
> > > hi Maarten
> > >
> > > I opened https://issues.apache.org/jira/browse/ARROW-7245 in part
> based
> > > on this.
> > >
Antoine Pitrou created ARROW-7408:
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Summary: [C++] Reference benchmarks fail compiling
Key: ARROW-7408
URL: https://issues.apache.org/jira/browse/ARROW-7408
Project: Apache Arrow
Issue Type:
Hi,
I had to catch up a bit with the arrow documentation before I could respond
properly. My fear was that Arrow demanded that the in-memory representation
was always 'packed', or 'flat'. After going through the docs, it seems that
only when doing IPC or stream writing, it is written in this form.
Hi Uwe,
Having it in a separate package/module/namespace makes it easier to make it an
optional install in the future, might that happen. Also, it would be more tab
completion friendly.
Cheers,
Maarten
> On 17 Dec 2019, at 10:24, Uwe L. Korn wrote:
>
> Hello all,
>
> we have developed quit
Hello all,
we have developed quite some compute kernels in C++ nowadays and I would like
to call them from Python. We could expose the kernels on the Array/ChunkedArray
classes themselves or as standalone functions (or as both). What would be the
preferred way?
Also exposing them as standalone
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