Uwe Korn created ARROW-9066:
---
Summary: [Python] Raise correct error in isnull()
Key: ARROW-9066
URL: https://issues.apache.org/jira/browse/ARROW-9066
Project: Apache Arrow
Issue Type: Bug
Uwe Korn created ARROW-9026:
---
Summary: [C++/Python] Force package removal from arrow-nightlies
conda repository
Key: ARROW-9026
URL: https://issues.apache.org/jira/browse/ARROW-9026
Project: Apache Arrow
Uwe Korn created ARROW-9024:
---
Summary: [C++/Python] Install anaconda-client in conda-clean job
Key: ARROW-9024
URL: https://issues.apache.org/jira/browse/ARROW-9024
Project: Apache Arrow
Issue
Uwe Korn created ARROW-9023:
---
Summary: [C++] Use mimalloc conda package
Key: ARROW-9023
URL: https://issues.apache.org/jira/browse/ARROW-9023
Project: Apache Arrow
Issue Type: Improvement
Uwe Korn created ARROW-8962:
---
Summary: [C++] Linking failure with clang-4.0
Key: ARROW-8962
URL: https://issues.apache.org/jira/browse/ARROW-8962
Project: Apache Arrow
Issue Type: Bug
Uwe Korn created ARROW-8941:
---
Summary: [C++/Python] arrow-nightlies conda repository is full
Key: ARROW-8941
URL: https://issues.apache.org/jira/browse/ARROW-8941
Project: Apache Arrow
Issue Type
Uwe Korn created ARROW-8571:
---
Summary: [C++] Switch AppVeyor image to VS 2017
Key: ARROW-8571
URL: https://issues.apache.org/jira/browse/ARROW-8571
Project: Apache Arrow
Issue Type: Improvement
Uwe Korn created ARROW-8359:
---
Summary: [C++/Python] Enable aarch64/ppc64le build in conda recipes
Key: ARROW-8359
URL: https://issues.apache.org/jira/browse/ARROW-8359
Project: Apache Arrow
Issue
Uwe Korn created ARROW-8350:
---
Summary: [Python] Implement to_numpy on ChunkedArray
Key: ARROW-8350
URL: https://issues.apache.org/jira/browse/ARROW-8350
Project: Apache Arrow
Issue Type
Uwe Korn created ARROW-8288:
---
Summary: [Python] Expose with_ modifiers on DataType
Key: ARROW-8288
URL: https://issues.apache.org/jira/browse/ARROW-8288
Project: Apache Arrow
Issue Type
Uwe Korn created ARROW-8285:
---
Summary: [Python][Dataset] ScalarExpression doesn't accept numpy
scalars
Key: ARROW-8285
URL: https://issues.apache.org/jira/browse/ARROW-8285
Project: Apache
Uwe Korn created ARROW-8284:
---
Summary: [C++][Dataset] Schema evolution for timestamp columns
Key: ARROW-8284
URL: https://issues.apache.org/jira/browse/ARROW-8284
Project: Apache Arrow
Issue Type
Uwe Korn created ARROW-8283:
---
Summary: [C++/Python][Dataset] Non-existent files are silently
dropped in pa.dataset.FileSystemDataset
Key: ARROW-8283
URL: https://issues.apache.org/jira/browse/ARROW-8283
Uwe Korn created ARROW-8282:
---
Summary: [C++/Python][Dataset] Support schema evolution for
integer columns
Key: ARROW-8282
URL: https://issues.apache.org/jira/browse/ARROW-8282
Project: Apache Arrow
Uwe Korn created ARROW-8281:
---
Summary: [R] Name collision of arrow.dll on Windows
Key: ARROW-8281
URL: https://issues.apache.org/jira/browse/ARROW-8281
Project: Apache Arrow
Issue Type
Uwe Korn created ARROW-8175:
---
Summary: [Python] Setup type checking with mypy
Key: ARROW-8175
URL: https://issues.apache.org/jira/browse/ARROW-8175
Project: Apache Arrow
Issue Type: Improvement
Uwe Korn created ARROW-8174:
---
Summary: [Python] Refactor context_choices in
test_cuda_numba_interop to be a module level fixture
Key: ARROW-8174
URL: https://issues.apache.org/jira/browse/ARROW-8174
Uwe Korn created ARROW-8159:
---
Summary: [Python] pyarrow.Schema.from_pandas doesn't support
ExtensionDtype
Key: ARROW-8159
URL: https://issues.apache.org/jira/browse/ARROW-8159
Project: Apache
Uwe Korn created ARROW-8149:
---
Summary: [C++/Python] Enable CUDA Support in conda recipes
Key: ARROW-8149
URL: https://issues.apache.org/jira/browse/ARROW-8149
Project: Apache Arrow
Issue Type: New
Uwe Korn created ARROW-8008:
---
Summary: [C++/Python] Framework Python is preferred even though
not the activated one
Key: ARROW-8008
URL: https://issues.apache.org/jira/browse/ARROW-8008
Project: Apache
Uwe Korn created ARROW-8007:
---
Summary: [Python] Remove unused and defunct
assert_get_object_equal in plasma tests
Key: ARROW-8007
URL: https://issues.apache.org/jira/browse/ARROW-8007
Project: Apache Arrow
Uwe Korn created ARROW-7493:
---
Summary: [Python] Expose sum kernel in pyarrow.compute and support
ChunkedArray inputs
Key: ARROW-7493
URL: https://issues.apache.org/jira/browse/ARROW-7493
Project: Apache
Uwe Korn created ARROW-7250:
---
Summary: Undefined symbols for StringToFloatConverter::Impl with
clang 4.x
Key: ARROW-7250
URL: https://issues.apache.org/jira/browse/ARROW-7250
Project: Apache Arrow
Uwe Korn created ARROW-7008:
---
Summary: [Python] pyarrow.chunked_array([array]) fails on array
with
Key: ARROW-7008
URL: https://issues.apache.org/jira/browse/ARROW-7008
Project: Apache Arrow
Uwe Korn created ARROW-6996:
---
Summary: [Python] Expose boolean filter kernel on Table
Key: ARROW-6996
URL: https://issues.apache.org/jira/browse/ARROW-6996
Project: Apache Arrow
Issue Type
Uwe Korn created ARROW-6919:
---
Summary: [Python] Expose more builders in Cython
Key: ARROW-6919
URL: https://issues.apache.org/jira/browse/ARROW-6919
Project: Apache Arrow
Issue Type: Improvement
Uwe Korn created ARROW-6873:
---
Summary: [Python] Stale CColumn reference break Cython cimport
pyarrow
Key: ARROW-6873
URL: https://issues.apache.org/jira/browse/ARROW-6873
Project: Apache Arrow
See inline comments.
On 13.10.16 03:09, Jacques Nadeau wrote:
Hey Guys, any feedback on the Arrow report?
## Description:
Arrow is a columnar in-memory analytics layer designed to accelerate big
data.
It houses a set of canonical in-memory representations of flat and
hierarchical
data along wi
Hello,
I have:
* build java and run the tests
* build cpp and run the tests
* build python, run the tests, checked parquet integration
+1 (non-binding)
Uwe
On 08.10.16 02:36, Julien Le Dem wrote:
Hello all,
I'd like to propose the first release candidate (rc3) of Apache Arrow version
0.1.
Hello,
MacOS 10.11 (Java 1.8.0_102)
build cpp and run tests: ok
build python and run tests: ok
build java: ok
java tests failed:
Failed tests:
TestArrowFile.testWriteReadComplex:236->validateComplexContent:261
expected:<1> but was:<-9>
TestArrowFile.testWriteComplex:91->validateComplexConte
Hello Julien,
what I have mentioned in the sync up was that I'm able to build a binary
Python package ("wheel") that should be portable to all recent Linux
versions. This is just some packaging around the already available
source code in the arrow repository. There are still some bugs in the
Hello,
I'm also in favour of switching the dependency direction between Parquet
and Arrow as this would avoid a lot of duplicate code in both projects
as well as parquet-cpp profiting from functionality that is available in
Arrow.
@wesm: go ahead with the JIRAs and I'll add comments or will
ps://github.com/apache/parquet-format/blob/parquet-format-2.0.0/src/thrift/parquet.thrift
On Tue, Jun 21, 2016 at 1:40 PM, Uwe Korn wrote:
Hello,
in addition to categoricals, we also miss at the moment a conversion
from
Timestamps in Pandas/NumPy to Arrow. Currently we only have two
(exact)
t 10:07 PM, Wes McKinney wrote:
hi Jacques,
I would mention there's been a significant synergy between C++ efforts
in Apache Parquet to build a bridge between the projects (which will
be a nice proof-of-concept of the benefits of the common in-memory
columnar layer). Uwe Korn has been rea
Hello,
in addition to categoricals, we also miss at the moment a conversion
from Timestamps in Pandas/NumPy to Arrow. Currently we only have two
(exact) resolutions for them: DATE for days and TIMESTAMP for
milliseconds. As
https://docs.scipy.org/doc/numpy/reference/arrays.datetime.html notes
Hello Wes,
the concept sounds sensible and really useful.
Probably the implementation will reside in the beginning fully inside of
Arrow but do you plan to split it up into a separate package later on?
Cheers
Uwe
On 16.06.16 03:35, Wes McKinney wrote:
Hi folks,
I put some more thought into
Hello,
I would also embrace the scope creep. As we will deal with a lot of
data, the cross-language I/O impact will significantly matter for
performance at the end. We definitely have to be careful in making the
dependencies toggleable in the build system. You should be able to
easily get a b
Hello,
as Arrow grows and we want to improve usage/adoption, we definitely need
to start documenting it a bit. I would volunteer to work on writing some
sections, but first we need to agree on the used tools. I would suggest
the following setup:
* central Arrow documentation (i.e. the layou
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